hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1b4abadb92c0f2ef727e12e1e324b952d7fc12e3
| 58
|
py
|
Python
|
nanome/_internal/_volumetric/_serialization/__init__.py
|
devanshuDesai/nanome
|
aabb536ef498044e97bc97ed71af940358bf36f2
|
[
"MIT"
] | null | null | null |
nanome/_internal/_volumetric/_serialization/__init__.py
|
devanshuDesai/nanome
|
aabb536ef498044e97bc97ed71af940358bf36f2
|
[
"MIT"
] | null | null | null |
nanome/_internal/_volumetric/_serialization/__init__.py
|
devanshuDesai/nanome
|
aabb536ef498044e97bc97ed71af940358bf36f2
|
[
"MIT"
] | null | null | null |
from ._volume_data_serializer import _VolumeDataSerializer
| 58
| 58
| 0.931034
| 6
| 58
| 8.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051724
| 58
| 1
| 58
| 58
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1b4e19fdbd41abe95c46c70a79df04f95407ffb2
| 32
|
py
|
Python
|
python/testData/quickdoc/ParamOfLambda.py
|
jnthn/intellij-community
|
8fa7c8a3ace62400c838e0d5926a7be106aa8557
|
[
"Apache-2.0"
] | 2
|
2019-04-28T07:48:50.000Z
|
2020-12-11T14:18:08.000Z
|
python/testData/quickdoc/ParamOfLambda.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 173
|
2018-07-05T13:59:39.000Z
|
2018-08-09T01:12:03.000Z
|
python/testData/quickdoc/ParamOfLambda.py
|
Cyril-lamirand/intellij-community
|
60ab6c61b82fc761dd68363eca7d9d69663cfa39
|
[
"Apache-2.0"
] | 2
|
2020-03-15T08:57:37.000Z
|
2020-04-07T04:48:14.000Z
|
func = lambda pa<the_ref>ram: 42
| 32
| 32
| 0.75
| 7
| 32
| 3.285714
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 0.125
| 32
| 1
| 32
| 32
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1b64ad96d456941d6400b1cdd91ea332e64b9240
| 93
|
py
|
Python
|
ATSAMD51P19A/libsrc/ATSAMD51P19A/SERCOM4_.py
|
t-ikegami/WioTerminal-CircuitPython
|
efbdc2e13ad969fe009d88f7ec4b836ca61ae973
|
[
"MIT"
] | null | null | null |
ATSAMD51P19A/libsrc/ATSAMD51P19A/SERCOM4_.py
|
t-ikegami/WioTerminal-CircuitPython
|
efbdc2e13ad969fe009d88f7ec4b836ca61ae973
|
[
"MIT"
] | 1
|
2022-01-19T00:16:02.000Z
|
2022-01-26T03:43:34.000Z
|
ATSAMD51P19A/libsrc/ATSAMD51P19A/SERCOM4_.py
|
t-ikegami/WioTerminal-CircuitPython
|
efbdc2e13ad969fe009d88f7ec4b836ca61ae973
|
[
"MIT"
] | null | null | null |
import uctypes as ct
from .SERCOM0_ import SERCOM_
SERCOM4 = ct.struct(0x43000000, SERCOM_)
| 18.6
| 40
| 0.795699
| 13
| 93
| 5.461538
| 0.769231
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1375
| 0.139785
| 93
| 4
| 41
| 23.25
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.107527
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1b79baaef3a28af449391a9b4ab9ca45a463dbec
| 3,147
|
py
|
Python
|
saleor/accounts/models.py
|
glosoftgroup/glosoftgroup-django-pos
|
b489c402939b9ebabd164c449e7da38fe849d550
|
[
"BSD-3-Clause"
] | 2
|
2017-07-11T12:40:59.000Z
|
2017-10-18T18:02:46.000Z
|
saleor/accounts/models.py
|
glosoftgroup/glosoftgroup-django-pos
|
b489c402939b9ebabd164c449e7da38fe849d550
|
[
"BSD-3-Clause"
] | 12
|
2017-06-19T07:20:41.000Z
|
2022-03-15T19:03:33.000Z
|
saleor/accounts/models.py
|
glosoftgroup/Hardware
|
002bc36b74b85fe3a40597eb8be91833dec017f5
|
[
"BSD-3-Clause"
] | null | null | null |
from __future__ import unicode_literals
from decimal import Decimal
from uuid import uuid4
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.core.urlresolvers import reverse
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from django.utils.timezone import now
from django.utils.translation import pgettext_lazy
from payments.models import BasePayment
from prices import Price, FixedDiscount
from satchless.item import ItemLine, ItemSet
from datetime import date
class Expenses(models.Model):
added_on = models.DateTimeField(default=now, editable=False)
expense_date = models.CharField(max_length=100, null=True, blank=True)
voucher = models.CharField(max_length=100, null=True, blank=True)
expense_type = models.CharField(max_length=100, null=True, blank=True)
authorized_by = models.CharField(max_length=100, null=True, blank=True)
received_by = models.CharField(max_length=100, null=True, blank=True)
paid_to = models.CharField(max_length=100, null=True, blank=True)
account = models.CharField(max_length=100, null=True, blank=True)
description = models.TextField(max_length=100, null=True, blank=True)
phone = models.CharField(max_length=100, null=True, blank=True)
amount = models.DecimalField(max_digits=100, decimal_places=2, null=True, blank=True)
def __str__(self):
return self.expense_type
def __unicode__(self):
return unicode(self.expense_type)
class PersonalExpenses(models.Model):
added_on = models.DateTimeField(default=now, editable=False)
expense_date = models.CharField(max_length=100, null=True, blank=True)
voucher = models.CharField(max_length=100, null=True, blank=True)
expense_type = models.CharField(max_length=100, null=True, blank=True)
authorized_by = models.CharField(max_length=100, null=True, blank=True)
received_by = models.CharField(max_length=100, null=True, blank=True)
paid_to = models.CharField(max_length=100, null=True, blank=True)
account = models.CharField(max_length=100, null=True, blank=True)
description = models.TextField(max_length=100, null=True, blank=True)
phone = models.CharField(max_length=100, null=True, blank=True)
amount = models.DecimalField(max_digits=100, decimal_places=2, null=True, blank=True)
def __str__(self):
return self.expense_type
def __unicode__(self):
return unicode(self.expense_type)
class ExpenseType(models.Model):
name = models.CharField(max_length=100, null=True, blank=True)
def __str__(self):
return self.name
def __unicode__(self):
return unicode(self.name)
class PettyCash(models.Model):
created = models.DateTimeField(default=now, editable=False)
opening = models.DecimalField(max_digits=100, decimal_places=2, null=True)
added = models.DecimalField(max_digits=100, decimal_places=2, null=True)
closing = models.DecimalField(max_digits=100, decimal_places=2, null=True)
def __str__(self):
return self.created
def __unicode__(self):
return unicode(self.created)
| 41.407895
| 87
| 0.780108
| 438
| 3,147
| 5.408676
| 0.194064
| 0.081047
| 0.115239
| 0.150697
| 0.720135
| 0.720135
| 0.667792
| 0.667792
| 0.667792
| 0.640777
| 0
| 0.02851
| 0.119479
| 3,147
| 76
| 88
| 41.407895
| 0.826416
| 0
| 0
| 0.548387
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.129032
| false
| 0
| 0.241935
| 0.129032
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
1b8074f7c6d67658fd26cd4a36f66c2610f13f2e
| 677
|
py
|
Python
|
publication_backbone/models/base_category_model.py
|
Excentrics/publication-backbone
|
65c9820308b09a6ae1086c265f8d49e36f3724b9
|
[
"BSD-3-Clause"
] | 6
|
2016-05-19T14:59:51.000Z
|
2020-03-19T10:08:29.000Z
|
publication_backbone/models/base_category_model.py
|
Excentrics/publication-backbone
|
65c9820308b09a6ae1086c265f8d49e36f3724b9
|
[
"BSD-3-Clause"
] | null | null | null |
publication_backbone/models/base_category_model.py
|
Excentrics/publication-backbone
|
65c9820308b09a6ae1086c265f8d49e36f3724b9
|
[
"BSD-3-Clause"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
This overrides the Category with the class loaded from the
PUBLICATION_BACKBONE_BASE_CATEGORY_MODEL setting if it exists.
"""
from django.conf import settings
from publication_backbone.utils.loader import load_class
#==============================================================================
# Extensibility
#==============================================================================
BASE_CATEGORY_MODEL = getattr(settings, 'PUBLICATION_BACKBONE_BASE_CATEGORY_MODEL',
'publication_backbone.models.defaults.category.base_category.BaseCategory')
BaseCategory = load_class(BASE_CATEGORY_MODEL, 'PUBLICATION_BACKBONE_BASE_CATEGORY_MODEL')
| 42.3125
| 90
| 0.635155
| 65
| 677
| 6.292308
| 0.476923
| 0.176039
| 0.207824
| 0.227384
| 0.352078
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001592
| 0.072378
| 677
| 15
| 91
| 45.133333
| 0.649682
| 0.463811
| 0
| 0
| 0
| 0
| 0.431818
| 0.431818
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1b8892d7bce1f9de7234695c7e02879313a4d3df
| 82
|
py
|
Python
|
test/unit/Algorithms/InvasionPercolationTimedTest.py
|
thirtywang/OpenPNM
|
e55ee7ae69a8be3e2b0e6bf24c9ff92b6d24e16a
|
[
"MIT"
] | 1
|
2021-03-30T21:38:26.000Z
|
2021-03-30T21:38:26.000Z
|
test/unit/Algorithms/InvasionPercolationTimedTest.py
|
thirtywang/OpenPNM
|
e55ee7ae69a8be3e2b0e6bf24c9ff92b6d24e16a
|
[
"MIT"
] | null | null | null |
test/unit/Algorithms/InvasionPercolationTimedTest.py
|
thirtywang/OpenPNM
|
e55ee7ae69a8be3e2b0e6bf24c9ff92b6d24e16a
|
[
"MIT"
] | 1
|
2020-07-02T02:21:10.000Z
|
2020-07-02T02:21:10.000Z
|
class InvasionPercolationTimedTest:
def test_setup_for_IP(self):
pass
| 20.5
| 35
| 0.743902
| 9
| 82
| 6.444444
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.207317
| 82
| 3
| 36
| 27.333333
| 0.892308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.333333
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
941813a43336c40dfa30ddd5a6393edeff7cfbf7
| 257
|
py
|
Python
|
softgroup/util/__init__.py
|
thangvubk/SoftGroup
|
737123a7ee5a6b994c2ba82927677a800b87e242
|
[
"MIT"
] | 75
|
2022-03-03T06:31:50.000Z
|
2022-03-31T00:31:51.000Z
|
softgroup/util/__init__.py
|
thangvubk/SoftGroup
|
737123a7ee5a6b994c2ba82927677a800b87e242
|
[
"MIT"
] | 10
|
2022-03-05T12:10:47.000Z
|
2022-03-31T14:24:03.000Z
|
softgroup/util/__init__.py
|
thangvubk/SoftGroup
|
737123a7ee5a6b994c2ba82927677a800b87e242
|
[
"MIT"
] | 5
|
2022-03-04T07:13:16.000Z
|
2022-03-25T10:13:50.000Z
|
from .dist import collect_results_gpu, get_dist_info, init_dist, is_main_process
from .fp16 import force_fp32
from .logger import SummaryWriter, get_root_logger
from .optim import build_optimizer
from .rle import rle_decode, rle_encode
from .utils import *
| 36.714286
| 80
| 0.840467
| 41
| 257
| 4.95122
| 0.609756
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.11284
| 257
| 6
| 81
| 42.833333
| 0.872807
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
941ae16f2502b5dd4aeda741d87bde7de38c792a
| 779
|
py
|
Python
|
tests/tokenizers/test_polypeptide_truncation.py
|
cancervariants/variant-normalization
|
e89a9f8366a659c82b2042aeb7effe339851bfb4
|
[
"MIT"
] | 1
|
2022-01-19T18:17:49.000Z
|
2022-01-19T18:17:49.000Z
|
tests/tokenizers/test_polypeptide_truncation.py
|
cancervariants/variation-normalization
|
9c8fbab1562591ae9445d82ddd15df29f1ea1f5a
|
[
"MIT"
] | 99
|
2021-06-07T12:50:34.000Z
|
2022-03-23T13:38:29.000Z
|
tests/tokenizers/test_polypeptide_truncation.py
|
cancervariants/variant-normalization
|
e89a9f8366a659c82b2042aeb7effe339851bfb4
|
[
"MIT"
] | null | null | null |
"""A module for testing Polypeptide Truncation tokenization."""
import unittest
from variation.tokenizers import PolypeptideTruncation
from .tokenizer_base import TokenizerBase
from variation.tokenizers.caches import AminoAcidCache
class TestPolypeptideTruncationTokenizer(TokenizerBase, unittest.TestCase):
"""A class for testing Polypeptide Truncation Tokenization."""
def tokenizer_instance(self):
"""Return Polypeptide Truncation instance."""
return PolypeptideTruncation(AminoAcidCache())
def token_type(self):
"""Return Polypeptide Truncation token type."""
return 'PolypeptideTruncation'
def fixture_name(self):
"""Return the fixture name for Polypeptide Truncation."""
return 'polypeptide_truncation'
| 35.409091
| 75
| 0.756098
| 73
| 779
| 8
| 0.410959
| 0.215753
| 0.138699
| 0.106164
| 0.14726
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.165597
| 779
| 21
| 76
| 37.095238
| 0.898462
| 0.319641
| 0
| 0
| 0
| 0
| 0.085317
| 0.085317
| 0
| 0
| 0
| 0
| 0
| 1
| 0.272727
| false
| 0
| 0.363636
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
945f86a27be108bc00b987264a229b50cd1e577b
| 190
|
py
|
Python
|
movement sim/run_formatter.py
|
Kataiser/radeline
|
da1fc490556b393623e0c8ced20cbcdb8de68229
|
[
"MIT"
] | 3
|
2021-03-18T20:00:21.000Z
|
2022-03-01T04:11:13.000Z
|
movement sim/run_formatter.py
|
Kataiser/radeline
|
da1fc490556b393623e0c8ced20cbcdb8de68229
|
[
"MIT"
] | 1
|
2021-12-21T23:21:41.000Z
|
2021-12-21T23:21:41.000Z
|
movement sim/run_formatter.py
|
Kataiser/radeline
|
da1fc490556b393623e0c8ced20cbcdb8de68229
|
[
"MIT"
] | null | null | null |
import os
import sys
sys.path.extend((os.path.abspath('..\\packages'), os.getcwd()))
import input_formatter
def main():
input_formatter.main()
if __name__ == '__main__':
main()
| 13.571429
| 63
| 0.673684
| 25
| 190
| 4.72
| 0.56
| 0.237288
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.152632
| 190
| 13
| 64
| 14.615385
| 0.732919
| 0
| 0
| 0
| 0
| 0
| 0.105263
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| true
| 0
| 0.375
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
94608b572d9b90529338b24fd10b62f8aa8f0376
| 66
|
py
|
Python
|
code/abc131_a_02.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | 3
|
2019-08-16T16:55:48.000Z
|
2021-04-11T10:21:40.000Z
|
code/abc131_a_02.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
code/abc131_a_02.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
a,b,c,d=input()
print("Good" if a!=b and b!=c and c!=d else "Bad")
| 33
| 50
| 0.590909
| 18
| 66
| 2.166667
| 0.611111
| 0.102564
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136364
| 66
| 2
| 50
| 33
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0.104478
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
94665a335ba44a449460bbdbcd05e587c09f46b2
| 810
|
py
|
Python
|
albow/widgets/RadioButton.py
|
hasii2011/albow-python-3
|
04b9d42705b370b62f0e49d10274eebf3ac54bc1
|
[
"MIT"
] | 6
|
2019-04-30T23:50:39.000Z
|
2019-11-04T06:15:02.000Z
|
albow/widgets/RadioButton.py
|
hasii2011/albow-python-3
|
04b9d42705b370b62f0e49d10274eebf3ac54bc1
|
[
"MIT"
] | 73
|
2019-05-12T18:43:14.000Z
|
2021-04-13T19:19:03.000Z
|
albow/widgets/RadioButton.py
|
hasii2011/albow-python-3
|
04b9d42705b370b62f0e49d10274eebf3ac54bc1
|
[
"MIT"
] | null | null | null |
from albow.widgets.CheckWidget import CheckWidget
from albow.widgets.RadioControl import RadioControl
class RadioButton(RadioControl, CheckWidget):
"""
RadioButton controls are intended to be used in a group to provide a multiple-choice selection. To achieve
this, all the radio buttons in the group should be linked via their ref attributes to the same value, and each
one given a unique setting. The one whose setting matches the current value displays its check mark, and
clicking on a radio button sets the value to that button's setting.
Note that a RadioButton does not have a title; you will need to place a Label beside it if you want one.
The visual appearance of a RadioButton is currently the same as a CheckBox. This may change in a later version.
"""
pass
| 45
| 115
| 0.764198
| 129
| 810
| 4.79845
| 0.620155
| 0.029079
| 0.051696
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.203704
| 810
| 17
| 116
| 47.647059
| 0.95969
| 0.751852
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.25
| 0.5
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
84b2e25e62e15303f79f765f4accf7f9a6b17ffc
| 173
|
py
|
Python
|
read.data.py
|
APriceDev/data-recorder
|
eb4c20ecd8c36efdcc96c76f0cc92bb80b1e8cba
|
[
"MIT"
] | 1
|
2021-02-11T23:57:15.000Z
|
2021-02-11T23:57:15.000Z
|
read.data.py
|
APriceDev/data-recorder
|
eb4c20ecd8c36efdcc96c76f0cc92bb80b1e8cba
|
[
"MIT"
] | null | null | null |
read.data.py
|
APriceDev/data-recorder
|
eb4c20ecd8c36efdcc96c76f0cc92bb80b1e8cba
|
[
"MIT"
] | null | null | null |
import csv
with open('data/data.txt', 'r') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
for row in csv_reader:
print(f'{row[0]} {row[1]}')
| 24.714286
| 52
| 0.618497
| 29
| 173
| 3.551724
| 0.62069
| 0.262136
| 0.23301
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014388
| 0.196532
| 173
| 6
| 53
| 28.833333
| 0.726619
| 0
| 0
| 0
| 0
| 0
| 0.184971
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0.2
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
84dc9282c2d39e6e936ed13a297aec76676fb454
| 252
|
py
|
Python
|
src/commands/flow/__init__.py
|
PranjalPansuriya/JavaScriptEnhancements
|
14af4162e86585153cbd4614ad96dff64a0d3192
|
[
"MIT"
] | 690
|
2017-04-11T06:45:01.000Z
|
2022-03-21T23:20:29.000Z
|
src/commands/flow/__init__.py
|
PranjalPansuriya/JavaScriptEnhancements
|
14af4162e86585153cbd4614ad96dff64a0d3192
|
[
"MIT"
] | 74
|
2017-11-22T18:05:26.000Z
|
2021-05-05T16:25:31.000Z
|
src/commands/flow/__init__.py
|
PranjalPansuriya/JavaScriptEnhancements
|
14af4162e86585153cbd4614ad96dff64a0d3192
|
[
"MIT"
] | 42
|
2017-04-13T10:22:40.000Z
|
2021-05-27T19:19:04.000Z
|
from .build_flow import JavascriptEnhancementsBuildFlowCommand
from .add_flow_definition import JavascriptEnhancementsAddFlowDefinitionCommand
__all__ = [
"JavascriptEnhancementsBuildFlowCommand",
"JavascriptEnhancementsAddFlowDefinitionCommand"
]
| 36
| 79
| 0.888889
| 14
| 252
| 15.5
| 0.642857
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 252
| 7
| 80
| 36
| 0.92735
| 0
| 0
| 0
| 0
| 0
| 0.332016
| 0.332016
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
84ece90458cf21fffc399dd93ff909d28e679e2e
| 202
|
py
|
Python
|
paths.py
|
eldstal/uware
|
41c1e175b48e8b204eef3bf8ee810e0e599758a4
|
[
"MIT"
] | null | null | null |
paths.py
|
eldstal/uware
|
41c1e175b48e8b204eef3bf8ee810e0e599758a4
|
[
"MIT"
] | null | null | null |
paths.py
|
eldstal/uware
|
41c1e175b48e8b204eef3bf8ee810e0e599758a4
|
[
"MIT"
] | null | null | null |
import os
# Directories
ROOT=os.path.dirname(os.path.realpath(__file__))
REPOS=os.path.join(ROOT, "repos")
GAME_CONF=os.path.join(ROOT, "game_config.json")
SRC_CONF=os.path.join(ROOT, "sources.json")
| 22.444444
| 48
| 0.757426
| 34
| 202
| 4.294118
| 0.470588
| 0.205479
| 0.205479
| 0.287671
| 0.246575
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.064356
| 202
| 8
| 49
| 25.25
| 0.772487
| 0.054455
| 0
| 0
| 0
| 0
| 0.174603
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ca36e0e2bb971755983139312c728b75b54fb293
| 533
|
py
|
Python
|
Session_08/jelly_beans.py
|
CristiPV/kea-pyton
|
988e56cd5794711b59af104de4dc6f87ffc014f0
|
[
"MIT"
] | null | null | null |
Session_08/jelly_beans.py
|
CristiPV/kea-pyton
|
988e56cd5794711b59af104de4dc6f87ffc014f0
|
[
"MIT"
] | null | null | null |
Session_08/jelly_beans.py
|
CristiPV/kea-pyton
|
988e56cd5794711b59af104de4dc6f87ffc014f0
|
[
"MIT"
] | null | null | null |
class JellyBean:
def __init__( self, mass = 0 ):
self.mass = mass
def __add__( self, other ):
other_mass = other.mass
other.mass = 0
return JellyBean( self.mass + other_mass )
def __sub__( self, other ):
self_mass = self.mass
self.mass -= other.mass
def __str__( self ):
return f"Mass: { self.mass }"
def __repr__( self ):
return f"{ self.__dict__ }"
jelly = JellyBean( 3 )
bean = JellyBean( 2 )
jelly += bean
print( jelly )
print( bean )
| 20.5
| 50
| 0.570356
| 66
| 533
| 4.19697
| 0.30303
| 0.202166
| 0.187726
| 0.129964
| 0.144404
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011019
| 0.318949
| 533
| 26
| 51
| 20.5
| 0.752066
| 0
| 0
| 0
| 0
| 0
| 0.067416
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.263158
| false
| 0
| 0
| 0.105263
| 0.473684
| 0.105263
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
ca3d799447390ba3467641c464e7215fb22d70bf
| 145
|
py
|
Python
|
logcabin/filters/__init__.py
|
srault95/logcabin
|
27f0e589284923d49e9255494bb1e7c23da82ca2
|
[
"Apache-2.0"
] | null | null | null |
logcabin/filters/__init__.py
|
srault95/logcabin
|
27f0e589284923d49e9255494bb1e7c23da82ca2
|
[
"Apache-2.0"
] | null | null | null |
logcabin/filters/__init__.py
|
srault95/logcabin
|
27f0e589284923d49e9255494bb1e7c23da82ca2
|
[
"Apache-2.0"
] | null | null | null |
from .json import Json
from .mutate import Mutate
from .noop import Noop
from .regex import Regex
__all__ = ['Json', 'Mutate', 'Noop', 'Regex']
| 20.714286
| 45
| 0.717241
| 21
| 145
| 4.761905
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158621
| 145
| 6
| 46
| 24.166667
| 0.819672
| 0
| 0
| 0
| 0
| 0
| 0.131034
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ca6f0304961fa7e18360735d3be0434967a4734e
| 74
|
py
|
Python
|
smartanthill/test/__init__.py
|
smartanthill/smartanthill
|
05e198bbbda1b64f4d59e5f64a55bdfa94f560f6
|
[
"MIT"
] | 1
|
2015-01-15T19:02:44.000Z
|
2015-01-15T19:02:44.000Z
|
smartanthill/test/__init__.py
|
smartanthill/smartanthill
|
05e198bbbda1b64f4d59e5f64a55bdfa94f560f6
|
[
"MIT"
] | 2
|
2015-08-18T13:29:57.000Z
|
2015-08-18T13:30:08.000Z
|
smartanthill/test/__init__.py
|
smartanthill/smartanthill
|
05e198bbbda1b64f4d59e5f64a55bdfa94f560f6
|
[
"MIT"
] | 1
|
2015-01-15T19:02:46.000Z
|
2015-01-15T19:02:46.000Z
|
# Copyright (C) Ivan Kravets <me@ikravets.com>
# See LICENSE for details.
| 24.666667
| 46
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| 11
| 74
| 4.909091
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| 0.148649
| 74
| 2
| 47
| 37
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0
| 4
|
ca6f8aa45d378d328c0e3522ce63d5e4c3b3e45a
| 17,807
|
py
|
Python
|
opendebates/tests/test_vote.py
|
jessamynsmith/django-opendebates
|
bf4eb3a42a8caf3d31c5cc1c823b4abc853e6c9c
|
[
"Apache-2.0"
] | null | null | null |
opendebates/tests/test_vote.py
|
jessamynsmith/django-opendebates
|
bf4eb3a42a8caf3d31c5cc1c823b4abc853e6c9c
|
[
"Apache-2.0"
] | 2
|
2018-08-24T04:02:58.000Z
|
2018-08-24T04:09:14.000Z
|
opendebates/tests/test_vote.py
|
jessamynsmith/django-opendebates
|
bf4eb3a42a8caf3d31c5cc1c823b4abc853e6c9c
|
[
"Apache-2.0"
] | 1
|
2018-10-02T18:39:05.000Z
|
2018-10-02T18:39:05.000Z
|
import datetime
import json
import os
from django.test import TestCase
from django.contrib.sites.models import Site
from django.test.utils import override_settings
from django.utils import timezone
from opendebates.models import Submission, Vote, Voter, ZipCode
from .factories import (UserFactory, SubmissionFactory, VoterFactory, VoteFactory,
DebateFactory, SiteFactory)
from .utilities import reset_session
class VoteTest(TestCase):
def setUp(self):
self.site = SiteFactory()
self.debate = DebateFactory(site=self.site)
self.submission = SubmissionFactory()
self.submission_url = self.submission.get_absolute_url()
# keep track of vote count before test starts
self.votes = self.submission.votes
self.current_votes = self.submission.current_votes
password = 'secretPassword'
self.user = UserFactory(password=password)
self.voter = VoterFactory(user=self.user, email=self.user.email)
assert self.client.login(username=self.user.username, password=password)
os.environ['NORECAPTCHA_TESTING'] = 'True'
def tearDown(self):
Site.objects.clear_cache()
del os.environ['NORECAPTCHA_TESTING']
# tests are all done as AJAX, like the actual site
def test_vote_fail_anon(self):
"Unauthenticated user vote gets validated."
self.client.logout()
rsp = self.client.post(self.submission_url, data={},
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
self.assertIn('email', json_rsp['errors'])
self.assertIn('zipcode', json_rsp['errors'])
self.assertIn('This field is required.', rsp.content)
def test_vote_duplicate_session_fraud(self):
"Voters scripting a bunch of votes for a question using the same session fail"
self.client.logout()
reset_session(self.client)
data = {
'email': 'anon@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
current_session_key = self.client.session.session_key
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
# vote is incremented (in the JSON response)
self.assertEqual(self.votes + 1, json_rsp['tally'])
# .. and in the database
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
# Now attempt to vote again using the same session cookie
data = {
'email': 'anon2@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(self.client.session.session_key, current_session_key)
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
# vote is not incremented (in the JSON response)
self.assertEqual(self.votes + 1, json_rsp['tally'])
# .. and also not in the database either
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
def test_submission_must_exist_anon(self):
"Return 404 if submission is not present."
self.submission.delete()
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(404, rsp.status_code)
def test_submission_must_be_approved_anon(self):
"Return 404 if submission is not approved."
self.submission.approved = False
self.submission.save()
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(404, rsp.status_code)
def test_vote_anon(self):
"Unauthenticated user successful vote."
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
# vote is incremented (in the JSON response)
self.assertEqual(self.votes + 1, json_rsp['tally'])
# .. and in the database
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
def test_vote_local_voter(self):
debate = DebateFactory(debate_state='NY')
self.submission.category.debate = debate
self.submission.category.save()
del self.submission._cached_debate
ZipCode.objects.create(zip="11111", city="Examplepolis", state="NY")
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '11111',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission.get_absolute_url(), data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
self.assertEqual(1, refetched_sub.local_votes)
def test_vote_nonlocal_voter(self):
debate = DebateFactory(debate_state='FL')
self.submission.category.debate = debate
self.submission.category.save()
del self.submission._cached_debate
ZipCode.objects.create(zip="11111", city="Examplepolis", state="NY")
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '11111',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission.get_absolute_url(), data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
self.assertEqual(0, refetched_sub.local_votes)
def test_vote_no_local_district_configured(self):
"Unauthenticated user successful vote."
debate = DebateFactory(debate_state=None)
self.submission.category.debate = debate
self.submission.category.save()
del self.submission._cached_debate
ZipCode.objects.create(zip="11111", city="Examplepolis", state="NY")
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '11111',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission.get_absolute_url(), data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
self.assertEqual(0, refetched_sub.local_votes)
def test_vote_anon_new_voter_source(self):
"New anon user with a opendebates.source cookie transmits source to vote and voter."
self.client.logout()
data = {
'email': 'anon_new_voter_source@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
self.assertEqual(0, Voter.objects.filter(email=data['email']).count())
source = 'my-source-code'
self.client.cookies['opendebates.source'] = source
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
vote = Vote.objects.get(submission=self.submission, voter__email=data['email'])
self.assertEqual(source, vote.source)
voter = Voter.objects.get(email=data['email'])
self.assertEqual(source, voter.source)
def test_vote_anon_existing_voter_source(self):
"Existing unauthenticated user with a source cookie transmits source to vote only."
self.client.logout()
data = {
'email': 'anon_existing_voter_source@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
anon_voter = VoterFactory(email=data['email'], user=None)
self.assertEqual(None, anon_voter.source)
source = 'this-source-code'
self.client.cookies['opendebates.source'] = source
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
vote = Vote.objects.get(submission=self.submission, voter__email=data['email'])
self.assertEqual(source, vote.source)
voter = Voter.objects.get(email=data['email'])
self.assertEqual(None, voter.source)
def test_vote_twice_anon(self):
"Unauthenticated user can only vote once on a submission."
self.client.logout()
data = {
'email': 'anon@example.com',
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
# create an unauthed vote (which requires an unauthed Voter object)
anon_voter = VoterFactory(email=data['email'], user=None)
VoteFactory(submission=self.submission, voter=anon_voter)
# now try to vote again
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# votes is not incremented (in JSON response or in DB)
self.assertEqual(self.votes, json_rsp['tally'])
self.assertEqual(self.votes, refetched_sub.votes)
self.assertEqual(self.current_votes, refetched_sub.current_votes)
def test_anon_can_use_other_users_account(self):
"Unauthenticated can use an authenticated user's account."
self.client.logout()
data = {
'email': self.user.email,
'zipcode': '12345',
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
# votes is incremented
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
def test_vote_user(self):
"Authenticated user can vote."
data = {
'email': self.voter.email,
'zipcode': self.voter.zip,
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
# vote is incremented in JSON response
self.assertEqual(self.votes + 1, json_rsp['tally'])
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# ... and in DB
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
def test_vote_twice_user(self):
"Authenticated user can only vote once."
VoteFactory(submission=self.submission, voter=self.voter)
data = {
'email': self.voter.email,
'zipcode': self.voter.zip,
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
# vote is not incremented in JSON response
self.assertEqual(self.votes, json_rsp['tally'])
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# ... or in the DB
self.assertEqual(self.votes, refetched_sub.votes)
self.assertEqual(self.current_votes, refetched_sub.current_votes)
def test_vote_user_bad_captcha(self):
# If captcha doesn't pass, no vote
self.client.logout()
data = {
'email': self.voter.email,
'zipcode': self.voter.zip,
'g-recaptcha-response': 'FAILED'
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
self.assertEqual(self.votes, refetched_sub.votes)
self.assertEqual(self.current_votes, refetched_sub.current_votes)
@override_settings(USE_CAPTCHA=False)
def test_vote_user_disabled_captcha(self):
# If captcha disabled, no need for field
data = {
'email': self.voter.email,
'zipcode': self.voter.zip,
}
rsp = self.client.post(self.submission_url, data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json_rsp = json.loads(rsp.content)
# vote is incremented in JSON response
self.assertEqual(self.votes + 1, json_rsp['tally'])
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# ... and in DB
self.assertEqual(self.votes + 1, refetched_sub.votes)
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
def test_vote_after_previous_debate(self):
"Votes after the previous debate get tracked separately."
debate = DebateFactory(previous_debate_time=timezone.now() - datetime.timedelta(days=7))
self.submission.category.debate = debate
self.submission.category.save()
del self.submission._cached_debate
data = {
'email': self.voter.email,
'zipcode': self.voter.zip,
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission.get_absolute_url(), data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json.loads(rsp.content)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# count of votes since previous debate gets incremented
self.assertEqual(self.current_votes + 1, refetched_sub.current_votes)
def test_vote_before_previous_debate(self):
"Votes before the previous debate don't get tracked yet."
debate = DebateFactory(previous_debate_time=timezone.now() + datetime.timedelta(days=1))
self.submission.category.debate = debate
self.submission.category.save()
del self.submission._cached_debate
data = {
'email': self.voter.email,
'zipcode': self.voter.zip,
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission.get_absolute_url(), data=data,
HTTP_X_REQUESTED_WITH='XMLHttpRequest')
self.assertEqual(200, rsp.status_code)
json.loads(rsp.content)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# count of votes since previous debate does not get
# incremented, since the previous debate checkpoint is still
# in the future.
self.assertEqual(self.current_votes, refetched_sub.current_votes)
# non AJAX tests
def test_vote_email_should_match_user(self):
"If user bypasses our web interface and directly POSTs, we should not 500."
data = {
'email': 'not-the-users-email@example.com',
'zipcode': self.voter.zip,
'g-recaptcha-response': 'PASSED'
}
rsp = self.client.post(self.submission_url, data=data)
self.assertEqual(302, rsp.status_code)
refetched_sub = Submission.objects.get(pk=self.submission.pk)
# count of votes did not get incremented, because this user was up to no good.
self.assertEqual(self.current_votes, refetched_sub.current_votes)
| 42.196682
| 96
| 0.635649
| 2,060
| 17,807
| 5.338835
| 0.112136
| 0.087289
| 0.060466
| 0.030915
| 0.768685
| 0.732224
| 0.705401
| 0.699127
| 0.677669
| 0.663848
| 0
| 0.013255
| 0.25855
| 17,807
| 421
| 97
| 42.296912
| 0.819738
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| 0.00609
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| 0.061765
| false
| 0.061765
| 0.029412
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|
0
| 4
|
ca738cd8c42f3e0909233598220148bb9db2db52
| 142
|
py
|
Python
|
project/blog/views/home.py
|
samsonosiomwan/Devs-Prime-Api
|
7b43078bb1f848f17f85e8bb94292d1b776eee92
|
[
"MIT"
] | null | null | null |
project/blog/views/home.py
|
samsonosiomwan/Devs-Prime-Api
|
7b43078bb1f848f17f85e8bb94292d1b776eee92
|
[
"MIT"
] | 1
|
2021-10-21T22:13:56.000Z
|
2021-10-21T22:13:57.000Z
|
project/blog/views/home.py
|
Favourkass/Devsprime-api
|
2414a2541efeb76b6a7ebb26c2d05a3bfead153c
|
[
"MIT"
] | null | null | null |
from django.http import JsonResponse
def index(request):
message = 'Welcome to Blog App'
return JsonResponse(dict(message=message))
| 20.285714
| 46
| 0.746479
| 18
| 142
| 5.888889
| 0.833333
| 0
| 0
| 0
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| 0
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| 0.169014
| 142
| 6
| 47
| 23.666667
| 0.898305
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| 0.133803
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| 0
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| 0
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| 1
| 0.25
| false
| 0
| 0.25
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| 0.75
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| null | 0
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| 0
| 0
| 0
| 1
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| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
ca86c2a0c0b6bc55a15e24cf46d97709435c956c
| 278
|
py
|
Python
|
ABP.py
|
douglasscorrea/boku-player
|
6095b2392a5294c45013f6d41ad153ff0a3e8fe9
|
[
"Unlicense"
] | null | null | null |
ABP.py
|
douglasscorrea/boku-player
|
6095b2392a5294c45013f6d41ad153ff0a3e8fe9
|
[
"Unlicense"
] | null | null | null |
ABP.py
|
douglasscorrea/boku-player
|
6095b2392a5294c45013f6d41ad153ff0a3e8fe9
|
[
"Unlicense"
] | null | null | null |
import math
class ABP():
def __init__(self):
self.alpha = -math.inf
self.beta = math.inf
def get_alpha(self):
return self.alpha
def get_beta(self):
return self.beta
def set_alpha(self, alpha):
self.beta = alpha
def set_beta(self, beta):
self.beta = beta
| 15.444444
| 28
| 0.679856
| 45
| 278
| 4.022222
| 0.288889
| 0.220994
| 0.154696
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201439
| 278
| 18
| 29
| 15.444444
| 0.815315
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.384615
| false
| 0
| 0.076923
| 0.153846
| 0.692308
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
046b299e32c611ecf0368a8c4c7dbf4ccc253e2c
| 72
|
py
|
Python
|
code/agc020_a_01.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | 3
|
2019-08-16T16:55:48.000Z
|
2021-04-11T10:21:40.000Z
|
code/agc020_a_01.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
code/agc020_a_01.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
N,A,B=map(int,input().split())
print("Alice" if (B-A)%2==0 else "Borys")
| 36
| 41
| 0.611111
| 16
| 72
| 2.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029851
| 0.069444
| 72
| 2
| 41
| 36
| 0.626866
| 0
| 0
| 0
| 0
| 0
| 0.136986
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
048ee58dea1710fc54cce723316b07442e372ab8
| 278
|
py
|
Python
|
projects/cats/2.py
|
AnthonyNg404/61A
|
6b8fc656ef5438dc45e58d49b025bc653dda8655
|
[
"Unlicense"
] | null | null | null |
projects/cats/2.py
|
AnthonyNg404/61A
|
6b8fc656ef5438dc45e58d49b025bc653dda8655
|
[
"Unlicense"
] | null | null | null |
projects/cats/2.py
|
AnthonyNg404/61A
|
6b8fc656ef5438dc45e58d49b025bc653dda8655
|
[
"Unlicense"
] | null | null | null |
def word_time(word, elapsed_time):
return [word, elapsed_time]
p0 = [word_time('START', 0), word_time('What', 0.2), word_time('great', 0.4), word_time('luck', 0.8)]
p1 = [word_time('START', 0), word_time('What', 0.6), word_time('great', 0.8), word_time('luck', 1.19)]
p0
p1
| 39.714286
| 102
| 0.651079
| 52
| 278
| 3.269231
| 0.346154
| 0.423529
| 0.176471
| 0.164706
| 0.317647
| 0.317647
| 0.317647
| 0.317647
| 0
| 0
| 0
| 0.077236
| 0.115108
| 278
| 7
| 103
| 39.714286
| 0.613821
| 0
| 0
| 0
| 0
| 0
| 0.129032
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0
| 0.166667
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
04924d41e8132c22f728688edf9880e9922106f2
| 4,073
|
py
|
Python
|
conf/profile.py
|
filipecrespooficial/speech-switch
|
3b8edf7a954e2b00508765e2a3da3ee38da7c572
|
[
"MIT"
] | null | null | null |
conf/profile.py
|
filipecrespooficial/speech-switch
|
3b8edf7a954e2b00508765e2a3da3ee38da7c572
|
[
"MIT"
] | 2
|
2021-04-30T21:06:38.000Z
|
2021-06-02T01:21:16.000Z
|
conf/profile.py
|
filipecrespooficial/speech-switch
|
3b8edf7a954e2b00508765e2a3da3ee38da7c572
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import configparser
import logging
logger = logging.getLogger('speech-server')
class Profile():
def __init__(self):
try:
self.cfg = configparser.ConfigParser()
self.cfg.read('./conf/config.ini')
self.voicesCpqd = self.cfg.get('CPQD TTS', 'voices').split(';')
self.voicesGoogle = self.cfg.get('GOOGLE TTS', 'voices').split(';')
self.convertTts = self.cfg.getboolean('CPQD TTS', 'convert')
self.urlTts = self.cfg.get('CPQD TTS', 'url')
self.usernameTts = self.cfg.get('CPQD TTS', 'username')
self.passwordTts = self.cfg.get('CPQD TTS', 'password')
self.urlAsr = self.cfg.get('CPQD ASR', 'url')
self.convertAsr = self.cfg.getboolean('CPQD ASR', 'convert')
self.usernameAsr = self.cfg.get('CPQD ASR', 'username')
self.passwordAsr = self.cfg.get('CPQD ASR', 'password')
self.file_path = self.cfg.get('PATH', 'file_path')
self.ffmpeg_parametersAsr = self.cfg.get('FFMPEG', 'parameters_asr')
self.ffmpeg_parametersTts = self.cfg.get('FFMPEG', 'parameters_tts')
self.allowed_extensions = self.cfg.get('FFMPEG', 'allowed_extensions').split(';')
self.token_name = self.cfg.get('SAPI', 'token_name')
self.format = self.cfg.getint('SAPI', 'format')
self.service_tts = self.cfg.get('SERVICE', 'tts')
self.service_asr = self.cfg.get('SERVICE', 'asr')
self.url_nlp = self.cfg.get('NLP', 'url')
self.port = self.cfg.getint('WS', 'port')
self.expires = self.cfg.getint('WS', 'expires')
self.use_auth = self.cfg.getboolean('WS', 'use_auth')
self.tls = self.cfg.getboolean('WS', 'tls')
self.key = self.cfg.get('WS', 'key')
self.certified = self.cfg.get('WS', 'certified')
self.logins = {}
self.services = {}
self.__loadLogins__()
except Exception as e:
logger.error(e)
def getVoicesCpqd(self):
return self.voicesCpqd
def getVoicesGoogle(self):
return self.voicesGoogle
def getPort(self):
return self.port
def getFilePath(self):
return self.file_path
def getUrlTts(self):
return self.urlTts
def getUsernameTts(self):
return self.usernameTts
def getPasswordTts(self):
return self.passwordTts
def getUrlAsr(self):
return self.urlAsr
def getUsernameAsr(self):
return self.usernameAsr
def getPasswordAsr(self):
return self.passwordAsr
def getFfmpegParametersAsr(self):
return self.ffmpeg_parametersAsr
def getFfmpegParametersTts(self):
return self.ffmpeg_parametersTts
def getAllowedExtensions(self):
return self.allowed_extensions
def getServiceAsr(self):
return self.service_asr
def getUrlNlp(self):
return self.url_nlp
def getConvertTts(self):
return self.convertTts
def getConvertArs(self):
return self.convertAsr
def getTokenName(self):
return self.token_name
def getFormat(self):
return self.format
def getServiceTts(self):
return self.service_tts
def getLogins(self):
return self.logins
def getServices(self):
return self.services
def getExpires(self):
return self.expires
def useAuth(self):
return self.use_auth
def isTls(self):
return self.tls
def getKey(self):
return self.key
def getCertified(self):
return self.certified
def __loadLogins__(self):
l = self.cfg.get('WS', 'auth_username').split(";")
p = self.cfg.get('WS', 'auth_password').split(";")
s = self.cfg.get('WS', 'auth_service').split(";")
idx = 0
for v in l:
self.logins[v] = p[idx]
self.services[s[idx]] = v
idx = idx + 1
| 27.52027
| 93
| 0.590719
| 465
| 4,073
| 5.090323
| 0.247312
| 0.08872
| 0.159696
| 0.041403
| 0.092522
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001023
| 0.280137
| 4,073
| 147
| 94
| 27.707483
| 0.806276
| 0.010312
| 0
| 0
| 0
| 0
| 0.099057
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.287129
| false
| 0.069307
| 0.019802
| 0.267327
| 0.584158
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
04a0fd768bcb68b703efd7e123cfced2e3a4b106
| 151
|
py
|
Python
|
src/psion/jose/__init__.py
|
revensky/psion
|
dfe38a1a4f4d6a5029d0973dbe1326415df6d512
|
[
"MIT"
] | 2
|
2021-02-22T22:12:23.000Z
|
2021-02-22T22:48:33.000Z
|
src/psion/jose/__init__.py
|
revensky/psion
|
dfe38a1a4f4d6a5029d0973dbe1326415df6d512
|
[
"MIT"
] | null | null | null |
src/psion/jose/__init__.py
|
revensky/psion
|
dfe38a1a4f4d6a5029d0973dbe1326415df6d512
|
[
"MIT"
] | null | null | null |
from .jwk import JsonWebKey, JsonWebKeySet
from .jws import JsonWebSignature, JsonWebSignatureHeader
from .jwt import JsonWebToken, JsonWebTokenClaims
| 37.75
| 57
| 0.860927
| 15
| 151
| 8.666667
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.099338
| 151
| 3
| 58
| 50.333333
| 0.955882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
04a540a0c02e0126dcff8f82562f19ce0bff5dab
| 2,304
|
py
|
Python
|
Gathered CTF writeups/ptr-yudai-writeups/2019/ISITDTU_CTF_2019_Quals/easy_rsa2/solve.py
|
mihaid-b/CyberSakura
|
f60e6b6bfd6898c69b84424b080090ae98f8076c
|
[
"MIT"
] | 1
|
2022-03-27T06:00:41.000Z
|
2022-03-27T06:00:41.000Z
|
Gathered CTF writeups/ptr-yudai-writeups/2019/ISITDTU_CTF_2019_Quals/easy_rsa2/solve.py
|
mihaid-b/CyberSakura
|
f60e6b6bfd6898c69b84424b080090ae98f8076c
|
[
"MIT"
] | null | null | null |
Gathered CTF writeups/ptr-yudai-writeups/2019/ISITDTU_CTF_2019_Quals/easy_rsa2/solve.py
|
mihaid-b/CyberSakura
|
f60e6b6bfd6898c69b84424b080090ae98f8076c
|
[
"MIT"
] | 1
|
2022-03-27T06:01:42.000Z
|
2022-03-27T06:01:42.000Z
|
import itertools
import math
import gmpy2
c = 8436043641135865531308468859210199431445831063674810351906331674115825605849862045115409554309732867926457428348729196827592921108183774070414343257409618631078896543782150761081732376735501920417229787663210936174854000594130785353102718054331606096192133481536724402629697019651921188121029927710787682993814748802295545306899075962041017278877203965796981792702098381465051289581518257202127401748725944229037078896857591660248467597356051123218945757343652461844056927461929195427880969904210166880623689090977714615839624798930450630919330253477634839161931755642681718034910946900928731231093352169252474939674
a1 = 92593960581478990492272892082797582837598460722110672289472622026362327649808629839901870926342611079306340852878894165246912369940368199994436453135375408481531310003733935540422655297910944762679239039783193372674051452613244254750117673971732027355424665752849172881712190463569600293779394868475158854447
a2 = 92593960581478990492272892082797582837598460722110672289472622026362327649808629839901870926342611079306340852878894165246912369940368199994436453135377198629507140256023102013131493810077402487620597574150419252484604398426042348936643985371724093575122287222535733709825807203222224632574777263054682547849
b1 = 92593960581478990492272892082797582837598460722110672289472622026362327649808629839901870926342611079306340852878894165246912369940368199994436453135371868180973368561805750413511255786784693350508599993560583740157301325382357815783643311448396307382917648462953229481373105936696186417725004199901537674201
b2 = 92593960581478990492272892082797582837598460722110672289472622026362327649808629839901870926342611079306340852878894165246912369940368199994436453135380738930065081697951287140042893321203653899791236620373028885001354525656928787903118347895059813547629304512431677110164891730095638508629167931628303931903
assert a1 * a2 == b1 * b2
e = 65537
p1 = math.gcd(a1, b1)
q1 = math.gcd(a2, b1)
p2 = math.gcd(a1, b2)
q2 = math.gcd(a2, b2)
print("p1 = {}".format(p1))
print("p2 = {}".format(p2))
print("q1 = {}".format(q1))
print("q2 = {}".format(q2))
n = p1 * p2 * q1 * q2
phi = (p1 - 1) * (p2 - 1) * (q1 - 1) * (q2 - 1)
d = gmpy2.invert(e, phi)
m = pow(c, d, n)
print(bytes.fromhex(hex(m)[2:]))
| 82.285714
| 620
| 0.908854
| 89
| 2,304
| 23.52809
| 0.393258
| 0.013372
| 0.008596
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.860254
| 0.043403
| 2,304
| 27
| 621
| 85.333333
| 0.089837
| 0
| 0
| 0
| 0
| 0
| 0.012153
| 0
| 0
| 1
| 0
| 0
| 0.043478
| 1
| 0
| false
| 0
| 0.130435
| 0
| 0.130435
| 0.217391
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
04c4dac54d53e92f161f259c7a26fcbfe3c9491c
| 139
|
py
|
Python
|
Modules/discord/__init__.py
|
TigerGraph-OSS/DashboardPython
|
a7b9a3ee7c7f968ece8541d473b09a37484cf31c
|
[
"MIT"
] | null | null | null |
Modules/discord/__init__.py
|
TigerGraph-OSS/DashboardPython
|
a7b9a3ee7c7f968ece8541d473b09a37484cf31c
|
[
"MIT"
] | null | null | null |
Modules/discord/__init__.py
|
TigerGraph-OSS/DashboardPython
|
a7b9a3ee7c7f968ece8541d473b09a37484cf31c
|
[
"MIT"
] | null | null | null |
def conf():
return {
"id":"discord",
"description":"this is the discord c360 component",
"enabled":False,
}
| 23.166667
| 59
| 0.532374
| 14
| 139
| 5.285714
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031579
| 0.316547
| 139
| 6
| 60
| 23.166667
| 0.747368
| 0
| 0
| 0
| 0
| 0
| 0.435714
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0
| 0.166667
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
04ccb7b19ee44ac6f86710f71196a1fc7325bb7b
| 3,219
|
py
|
Python
|
bcbio/distributed/multitasks.py
|
matanhofree/bcbio-nextgen
|
e6938cedb20ff3b7632165105941d71189e46aac
|
[
"MIT"
] | 1
|
2015-04-08T17:43:39.000Z
|
2015-04-08T17:43:39.000Z
|
bcbio/distributed/multitasks.py
|
matanhofree/bcbio-nextgen
|
e6938cedb20ff3b7632165105941d71189e46aac
|
[
"MIT"
] | null | null | null |
bcbio/distributed/multitasks.py
|
matanhofree/bcbio-nextgen
|
e6938cedb20ff3b7632165105941d71189e46aac
|
[
"MIT"
] | null | null | null |
"""Multiprocessing ready entry points for sample analysis.
"""
from bcbio import structural, utils, chipseq
from bcbio.bam import callable
from bcbio.ngsalign import alignprep
from bcbio.pipeline import (disambiguate, lane, qcsummary, sample, shared, variation,
rnaseq)
from bcbio.variation import (bamprep, bedutils, coverage, realign, genotype, ensemble, multi, population,
recalibrate, validate, vcfutils)
@utils.map_wrap
def process_lane(*args):
return lane.process_lane(*args)
@utils.map_wrap
def trim_lane(*args):
return lane.trim_lane(*args)
@utils.map_wrap
def process_alignment(*args):
return lane.process_alignment(*args)
@utils.map_wrap
def postprocess_alignment(*args):
return lane.postprocess_alignment(*args)
@utils.map_wrap
def prep_align_inputs(*args):
return alignprep.create_inputs(*args)
@utils.map_wrap
def merge_sample(*args):
return sample.merge_sample(*args)
@utils.map_wrap
def delayed_bam_merge(*args):
return sample.delayed_bam_merge(*args)
@utils.map_wrap
def piped_bamprep(*args):
return bamprep.piped_bamprep(*args)
@utils.map_wrap
def prep_recal(*args):
return recalibrate.prep_recal(*args)
@utils.map_wrap
def write_recal_bam(*args):
return recalibrate.write_recal_bam(*args)
@utils.map_wrap
def realign_sample(*args):
return realign.realign_sample(*args)
@utils.map_wrap
def split_variants_by_sample(*args):
return multi.split_variants_by_sample(*args)
@utils.map_wrap
def postprocess_variants(*args):
return variation.postprocess_variants(*args)
@utils.map_wrap
def pipeline_summary(*args):
return qcsummary.pipeline_summary(*args)
@utils.map_wrap
def generate_transcript_counts(*args):
return rnaseq.generate_transcript_counts(*args)
@utils.map_wrap
def run_cufflinks(*args):
return rnaseq.run_cufflinks(*args)
@utils.map_wrap
def combine_bam(*args):
return shared.combine_bam(*args)
@utils.map_wrap
def variantcall_sample(*args):
return genotype.variantcall_sample(*args)
@utils.map_wrap
def combine_variant_files(*args):
return vcfutils.combine_variant_files(*args)
@utils.map_wrap
def concat_variant_files(*args):
return vcfutils.concat_variant_files(*args)
@utils.map_wrap
def merge_variant_files(*args):
return vcfutils.merge_variant_files(*args)
@utils.map_wrap
def detect_sv(*args):
return structural.detect_sv(*args)
@utils.map_wrap
def combine_calls(*args):
return ensemble.combine_calls(*args)
@utils.map_wrap
def prep_gemini_db(*args):
return population.prep_gemini_db(*args)
@utils.map_wrap
def combine_bed(*args):
return bedutils.combine(*args)
@utils.map_wrap
def calc_callable_loci(*args):
return callable.calc_callable_loci(*args)
@utils.map_wrap
def combine_sample_regions(*args):
return callable.combine_sample_regions(*args)
@utils.map_wrap
def compare_to_rm(*args):
return validate.compare_to_rm(*args)
@utils.map_wrap
def coverage_summary(*args):
return coverage.summary(*args)
@utils.map_wrap
def run_disambiguate(*args):
return disambiguate.run(*args)
@utils.map_wrap
def clean_chipseq_alignment(*args):
return chipseq.clean_chipseq_alignment(*args)
| 24.022388
| 105
| 0.765144
| 445
| 3,219
| 5.27191
| 0.179775
| 0.105712
| 0.158568
| 0.19821
| 0.392157
| 0.26769
| 0.039642
| 0
| 0
| 0
| 0
| 0
| 0.128301
| 3,219
| 133
| 106
| 24.203008
| 0.836066
| 0.017086
| 0
| 0.31
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.31
| true
| 0
| 0.05
| 0.31
| 0.67
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
04dc7ef162720695a2feab09ff9127138b618d24
| 1,067
|
py
|
Python
|
WEEKS/CD_Sata-Structures/_RESOURCES/CODESIGNAL/sudoku2.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
WEEKS/CD_Sata-Structures/_RESOURCES/CODESIGNAL/sudoku2.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
WEEKS/CD_Sata-Structures/_RESOURCES/CODESIGNAL/sudoku2.py
|
webdevhub42/Lambda
|
b04b84fb5b82fe7c8b12680149e25ae0d27a0960
|
[
"MIT"
] | null | null | null |
def sudoku2(grid):
seen = set()
# Iterate through grid
for i in range(len(grid)):
for j in range(len(grid[i])):
current_value = grid[i][j]
if current_value != ".":
if (
(current_value + " found in row " + str(i)) in seen
or (current_value + " found in column " + str(j)) in seen
or (
current_value
+ " found in subgrid "
+ str(i // 3)
+ "-"
+ str(j // 3)
)
in seen
):
return False
seen.add(current_value + " found in row " + str(i))
seen.add(current_value + " found in column " + str(j))
seen.add(
current_value
+ " found in subgrid "
+ str(i // 3)
+ "-"
+ str(j // 3)
)
return True
| 34.419355
| 77
| 0.341143
| 98
| 1,067
| 3.632653
| 0.27551
| 0.269663
| 0.286517
| 0.320225
| 0.615169
| 0.615169
| 0.55618
| 0.202247
| 0.202247
| 0.202247
| 0
| 0.010638
| 0.559513
| 1,067
| 30
| 78
| 35.566667
| 0.746809
| 0.018744
| 0
| 0.344828
| 0
| 0
| 0.096651
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.034483
| false
| 0
| 0
| 0
| 0.103448
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
04e391f57ea88658d0c96e09c8eea260bbff11c9
| 50
|
py
|
Python
|
SC_CODE/jewelry_supply_chain/test.py
|
Flyincry/cbit-fabricflow
|
93e82c5abebcbef11b4df6231509a05467a89b4d
|
[
"MIT"
] | null | null | null |
SC_CODE/jewelry_supply_chain/test.py
|
Flyincry/cbit-fabricflow
|
93e82c5abebcbef11b4df6231509a05467a89b4d
|
[
"MIT"
] | null | null | null |
SC_CODE/jewelry_supply_chain/test.py
|
Flyincry/cbit-fabricflow
|
93e82c5abebcbef11b4df6231509a05467a89b4d
|
[
"MIT"
] | null | null | null |
# Please hold file in 'airflow_home/airflow/dags'
| 25
| 49
| 0.78
| 8
| 50
| 4.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.12
| 50
| 1
| 50
| 50
| 0.863636
| 0.94
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
04eca5f551d1af624b1cecc6ff51432a81ae59bc
| 7,806
|
py
|
Python
|
tests/test_tasks_send_report_summary.py
|
alexanderad/pony-standup-bot
|
7ded6b0b6a7c4728bd43afda31375c0d0b5727ca
|
[
"MIT"
] | 13
|
2016-12-07T08:36:59.000Z
|
2021-08-07T08:36:21.000Z
|
tests/test_tasks_send_report_summary.py
|
alexanderad/pony-standup-bot
|
7ded6b0b6a7c4728bd43afda31375c0d0b5727ca
|
[
"MIT"
] | 5
|
2016-12-07T19:23:49.000Z
|
2018-08-01T12:31:40.000Z
|
tests/test_tasks_send_report_summary.py
|
alexanderad/pony-standup-bot
|
7ded6b0b6a7c4728bd43afda31375c0d0b5727ca
|
[
"MIT"
] | 5
|
2018-04-05T20:16:15.000Z
|
2022-03-08T15:55:30.000Z
|
from __future__ import absolute_import
from datetime import datetime
from flexmock import flexmock
import pony.tasks
from tests.test_base import BaseTest
class SendReportSummaryTest(BaseTest):
def setUp(self):
super(SendReportSummaryTest, self).setUp()
self.bot.storage.set('report', {})
self.bot.plugin_config = {
'_dummy_team': {
'post_summary_to': '#dummy-channel',
'name': 'Dummy Team'
}
}
(flexmock(self.bot)
.should_receive('get_user_by_id')
.with_args('_user_id')
.and_return({
'id': '_user_id',
'color': 'aabbcc',
'profile': {
'real_name': 'Dummy User'
}
}))
(flexmock(self.bot)
.should_receive('get_user_by_name')
.with_args('@user')
.and_return({
'id': '_user_id',
'color': 'aabbcc',
'profile': {
'real_name': 'Dummy User'
}
}))
def test_get_user_avatar_is_failsafe(self):
(flexmock(self.slack)
.should_receive('api_call')
.with_args('users.list')
.and_return(dict(members=[])))
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.get_user_avatar(self.slack, '_user_id'))
def test_get_user_avatar(self):
(flexmock(self.slack)
.should_receive('api_call')
.with_args('users.list')
.and_return({
'members': [{
'id': '_user_id',
'profile': {
'image_192': '_image_192_url',
}
}]
}))
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertEqual(
task.get_user_avatar(self.slack, '_user_id'), '_image_192_url')
def test_get_user_avatar_lazy_loads_profiles(self):
(flexmock(self.slack)
.should_receive('api_call')
.with_args('users.list')
.and_return(dict(members=[]))
.times(1))
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.get_user_avatar(self.slack, '_user_id'))
self.assertIsNone(task.get_user_avatar(self.slack, '_user_id'))
self.assertIsNone(task.get_user_avatar(self.slack, '_user_id'))
def test_execute_no_reports(self):
self.bot.storage.set('report', {})
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.execute(self.bot, self.slack))
def test_execute_no_report_for_this_team(self):
self.bot.storage.set('report', {
datetime.utcnow().date(): {}
})
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.execute(self.bot, self.slack))
def test_execute_report_already_sent(self):
self.bot.storage.set('report', {
datetime.utcnow().date(): {
'_dummy_team': {
'reported_at': datetime.utcnow()
}
}
})
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.execute(self.bot, self.slack))
self.assertEqual(len(self.bot.fast_queue), 0)
def test_execute_user_not_seen_online(self):
self.bot.plugin_config['_dummy_team']['users'] = ['@user']
self.bot.storage.set('report', {
datetime.utcnow().date(): {
'_dummy_team': {
'reports': {
'_user_id': {
'seen_online': False
}
}
}
}
})
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.execute(self.bot, self.slack))
report = self.bot.fast_queue.pop()
self.assertIsInstance(report, pony.tasks.SendMessage)
self.assertEqual(report.to, '#dummy-channel')
self.assertIn('Summary for Dummy Team', report.text)
self.assertIn(
{'color': '#ccc', 'title': 'Offline', 'text': 'Dummy User'},
report.attachments
)
def test_execute_user_returned_no_response(self):
self.bot.plugin_config['_dummy_team']['users'] = ['@user']
self.bot.storage.set('report', {
datetime.utcnow().date(): {
'_dummy_team': {
'reports': {
'_user_id': {
'seen_online': True
}
}
}
}
})
task = pony.tasks.SendReportSummary('_dummy_team')
self.assertIsNone(task.execute(self.bot, self.slack))
report = self.bot.fast_queue.pop()
self.assertIsInstance(report, pony.tasks.SendMessage)
self.assertEqual(report.to, '#dummy-channel')
self.assertIn('Summary for Dummy Team', report.text)
self.assertIn(
{'color': '#ccc', 'title': 'No Response', 'text': 'Dummy User'},
report.attachments
)
def test_execute(self):
self.bot.plugin_config['_dummy_team']['users'] = ['@user']
self.bot.storage.set('report', {
datetime.utcnow().date(): {
'_dummy_team': {
'reports': {
'_user_id': {
'seen_online': True,
'reported_at': datetime.utcnow(),
'report': [
'line1',
'line2'
]
}
}
}
}
})
task = pony.tasks.SendReportSummary('_dummy_team')
(flexmock(task)
.should_receive('get_user_avatar')
.with_args(self.slack, '_user_id')
.and_return('_dummy_user_avatar_url'))
self.assertIsNone(task.execute(self.bot, self.slack))
report = self.bot.fast_queue.pop()
self.assertIsInstance(report, pony.tasks.SendMessage)
self.assertEqual(report.to, '#dummy-channel')
self.assertIn('Summary for Dummy Team', report.text)
report_line = report.attachments.pop()
self.assertEqual(report_line['title'], 'Dummy User')
self.assertEqual(report_line['text'], 'line1\nline2')
self.assertEqual(report_line['color'], '#aabbcc')
self.assertEqual(report_line['thumb_url'], '_dummy_user_avatar_url')
self.assertIsNotNone(report_line['ts'])
def test_execute_when_user_has_department_assigned(self):
self.bot.plugin_config['_dummy_team']['users'] = ['@user']
self.bot.storage.set('report', {
datetime.utcnow().date(): {
'_dummy_team': {
'reports': {
'_user_id': {
'seen_online': True,
'department': 'Dev Department',
'reported_at': datetime.utcnow(),
'report': [
'line1',
'line2'
]
}
}
}
}
})
task = pony.tasks.SendReportSummary('_dummy_team')
(flexmock(task)
.should_receive('get_user_avatar')
.with_args(self.slack, '_user_id')
.and_return('_dummy_user_avatar_url'))
self.assertIsNone(task.execute(self.bot, self.slack))
report = self.bot.fast_queue.pop()
report_line = report.attachments.pop()
self.assertEqual(report_line['footer'], 'Dev Department')
| 33.502146
| 76
| 0.520241
| 743
| 7,806
| 5.179004
| 0.149394
| 0.049116
| 0.057173
| 0.077963
| 0.793139
| 0.767672
| 0.753378
| 0.742204
| 0.691788
| 0.650468
| 0
| 0.003348
| 0.349603
| 7,806
| 232
| 77
| 33.646552
| 0.754579
| 0
| 0
| 0.622449
| 0
| 0
| 0.15424
| 0.008455
| 0
| 0
| 0
| 0
| 0.153061
| 1
| 0.056122
| false
| 0
| 0.02551
| 0
| 0.086735
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
04f8642e4f15e8251374b8a6dce3f164effdc606
| 149
|
py
|
Python
|
src/noos_tf/__init__.py
|
noosenergy/terraform-client
|
0cc096248117652ec549086182a54e624b6dccf5
|
[
"MIT"
] | null | null | null |
src/noos_tf/__init__.py
|
noosenergy/terraform-client
|
0cc096248117652ec549086182a54e624b6dccf5
|
[
"MIT"
] | null | null | null |
src/noos_tf/__init__.py
|
noosenergy/terraform-client
|
0cc096248117652ec549086182a54e624b6dccf5
|
[
"MIT"
] | null | null | null |
"""A Python client wrapping up HashiCorp's Terraform Cloud API."""
from .api import * # noqa
from .client import * # noqa
__version__ = "0.0.6"
| 18.625
| 66
| 0.677852
| 22
| 149
| 4.409091
| 0.727273
| 0.206186
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.194631
| 149
| 7
| 67
| 21.285714
| 0.783333
| 0.47651
| 0
| 0
| 0
| 0
| 0.070423
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b6db792ce5d7f55d67a546984ec055fa16a93aa1
| 87
|
py
|
Python
|
ctrack/apps.py
|
dmkent/cattrack
|
2387f72d7a384638731a70b377826562f4f22a31
|
[
"MIT"
] | null | null | null |
ctrack/apps.py
|
dmkent/cattrack
|
2387f72d7a384638731a70b377826562f4f22a31
|
[
"MIT"
] | 11
|
2019-10-06T10:48:19.000Z
|
2022-02-10T08:25:05.000Z
|
ctrack/apps.py
|
dmkent/cattrack
|
2387f72d7a384638731a70b377826562f4f22a31
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class CtrackConfig(AppConfig):
name = 'ctrack'
| 14.5
| 33
| 0.747126
| 10
| 87
| 6.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 87
| 5
| 34
| 17.4
| 0.902778
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8e2b11141178006ba17c3befa3b910d4e1e65644
| 174
|
py
|
Python
|
tests/test_locales.py
|
hoefling/mimesis
|
1960e95609f571ca1b8bbf70465b0df4ce2b9251
|
[
"MIT"
] | null | null | null |
tests/test_locales.py
|
hoefling/mimesis
|
1960e95609f571ca1b8bbf70465b0df4ce2b9251
|
[
"MIT"
] | null | null | null |
tests/test_locales.py
|
hoefling/mimesis
|
1960e95609f571ca1b8bbf70465b0df4ce2b9251
|
[
"MIT"
] | null | null | null |
from mimesis.locales import Locale
def test_locales_count():
assert len(list(Locale)) == 34
def test_locale_in():
assert "ru" in Locale
assert "en" in Locale
| 15.818182
| 34
| 0.695402
| 26
| 174
| 4.5
| 0.576923
| 0.119658
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0.206897
| 174
| 10
| 35
| 17.4
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0.022989
| 0
| 0
| 0
| 0
| 0
| 0.5
| 1
| 0.333333
| true
| 0
| 0.166667
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8e2de4deea4da48a7426260cbf744b63571959f1
| 294
|
py
|
Python
|
tf_learnings/const_run_eval.py
|
kdbanman/bean_pole_net
|
425607a250b059164b1de885a03cf57785cb39cd
|
[
"Apache-2.0"
] | null | null | null |
tf_learnings/const_run_eval.py
|
kdbanman/bean_pole_net
|
425607a250b059164b1de885a03cf57785cb39cd
|
[
"Apache-2.0"
] | null | null | null |
tf_learnings/const_run_eval.py
|
kdbanman/bean_pole_net
|
425607a250b059164b1de885a03cf57785cb39cd
|
[
"Apache-2.0"
] | null | null | null |
import tensorflow as tf
x = tf.constant(3.0)
y = tf.constant(2.0)
z = tf.constant(5.0)
h = x + y
g = h * z
with tf.Session() as sess:
print(sess.run(x)) # 3
print(sess.run(h)) # 5
print(h.eval()) # 5
print(sess.run(g)) # 25
print(sess.run([g, h])) # 25, 5
| 18.375
| 36
| 0.527211
| 56
| 294
| 2.767857
| 0.375
| 0.232258
| 0.309677
| 0.167742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.066038
| 0.278912
| 294
| 15
| 37
| 19.6
| 0.665094
| 0.047619
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.083333
| 0
| 0.083333
| 0.416667
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
6d1684cdd57fa9572502df97d30a1a6d84d6abce
| 65
|
py
|
Python
|
browse/models.py
|
machinalis/django-srd20
|
00c969cbe9353128e681c308bdc6810dfbd46b70
|
[
"BSD-3-Clause"
] | 16
|
2015-04-12T00:57:49.000Z
|
2018-07-24T16:06:55.000Z
|
browse/models.py
|
machinalis/django-srd20
|
00c969cbe9353128e681c308bdc6810dfbd46b70
|
[
"BSD-3-Clause"
] | null | null | null |
browse/models.py
|
machinalis/django-srd20
|
00c969cbe9353128e681c308bdc6810dfbd46b70
|
[
"BSD-3-Clause"
] | 5
|
2015-07-04T14:39:00.000Z
|
2018-07-24T16:06:57.000Z
|
# Added this file because django won't let me run tests otherwise
| 65
| 65
| 0.8
| 12
| 65
| 4.333333
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| 1
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| 65
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| 0.969231
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| 0
|
0
| 4
|
6d32067d89f70219f4dcdf3d7aef1a24f2772e3b
| 18
|
py
|
Python
|
simple_youtube_video_commenter/version.py
|
Koldar/simple-youtube-video-commenter
|
331664a0af003f3fe14f8cfb264f91318f2f03b6
|
[
"MIT"
] | null | null | null |
simple_youtube_video_commenter/version.py
|
Koldar/simple-youtube-video-commenter
|
331664a0af003f3fe14f8cfb264f91318f2f03b6
|
[
"MIT"
] | null | null | null |
simple_youtube_video_commenter/version.py
|
Koldar/simple-youtube-video-commenter
|
331664a0af003f3fe14f8cfb264f91318f2f03b6
|
[
"MIT"
] | null | null | null |
VERSION = "1.2.6"
| 9
| 17
| 0.555556
| 4
| 18
| 2.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0.2
| 0.166667
| 18
| 1
| 18
| 18
| 0.466667
| 0
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| 0.277778
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
6d65d0e60aed2a99b9c4bf18250b96844debe9d7
| 1,557
|
py
|
Python
|
pymfa/tokens/totp.py
|
tniah/pymfa
|
5c2af3ab937a3d288a31bc329842ab138c320674
|
[
"Apache-2.0"
] | null | null | null |
pymfa/tokens/totp.py
|
tniah/pymfa
|
5c2af3ab937a3d288a31bc329842ab138c320674
|
[
"Apache-2.0"
] | null | null | null |
pymfa/tokens/totp.py
|
tniah/pymfa
|
5c2af3ab937a3d288a31bc329842ab138c320674
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
pymfa.tokens.totp
~~~~~~~~~~~~~~
"""
from pymfa.tokens.token_class import TokenClass
from passlib import totp
class TOTPToken(TokenClass):
"""The Time-based One-Time Password (TOTP) class."""
_hash_algorithm = 'sha1'
_digits = 6
_time_period = 30
_time_window = 30
def __init__(self, db_token, config=None):
"""
Create a new TOTP token object.
Args:
db_token: Instance of a ORM database model.
"""
super().__init__(db_token, config)
self.set_type(ttype='totp')
@property
def hash_algorithm(self):
return self.get_token_info('hash_algorithm') \
or self.get_from_config('hash_algorithm') \
or self._hash_algorithm
@property
def digits(self):
return int(self.get_token_info('digits')
or self.get_from_config('digits')
or self._digits)
@property
def time_period(self):
return int(self.get_token_info('time_period')
or self.get_from_config('time_period')
or self._time_period)
@property
def time_window(self):
return int(self.get_token_info('time_window')
or self.get_from_config('time_window')
or self._time_window)
@property
def last_counter(self):
return self.get_token_info('last_counter')
def generate_otp(self, otp_digits=None):
pass
def check_otp(self, opt_code, counter=None):
pass
| 25.52459
| 58
| 0.598587
| 191
| 1,557
| 4.565445
| 0.314136
| 0.072248
| 0.068807
| 0.091743
| 0.264908
| 0.22133
| 0.108945
| 0.075688
| 0
| 0
| 0
| 0.006358
| 0.292871
| 1,557
| 60
| 59
| 25.95
| 0.785649
| 0.121387
| 0
| 0.189189
| 0
| 0
| 0.079027
| 0
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| 0
| 0
| 1
| 0.216216
| false
| 0.081081
| 0.054054
| 0.135135
| 0.540541
| 0
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| null | 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
edaa4ee8f437f3794dd82a8570983945dda9baf1
| 56
|
py
|
Python
|
ndg_oauth_server/ndg/oauth/server/templates/__init__.py
|
cedadev/ndg_oauth
|
83f2525bac3d739d1a61817ce3071c491b587793
|
[
"BSD-3-Clause"
] | 2
|
2015-09-24T21:08:58.000Z
|
2016-10-20T02:34:45.000Z
|
ndg_oauth_server/ndg/oauth/server/templates/__init__.py
|
cedadev/ndg_oauth
|
83f2525bac3d739d1a61817ce3071c491b587793
|
[
"BSD-3-Clause"
] | null | null | null |
ndg_oauth_server/ndg/oauth/server/templates/__init__.py
|
cedadev/ndg_oauth
|
83f2525bac3d739d1a61817ce3071c491b587793
|
[
"BSD-3-Clause"
] | 1
|
2015-01-06T13:26:55.000Z
|
2015-01-06T13:26:55.000Z
|
'''
Created on Aug 30, 2012
@author: philipkershaw
'''
| 9.333333
| 23
| 0.660714
| 7
| 56
| 5.285714
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 0.178571
| 56
| 5
| 24
| 11.2
| 0.673913
| 0.839286
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
edb208f18c5c2f41fe83623d5e758ada312f4c55
| 900
|
py
|
Python
|
part_1/cython_solution/test_order.py
|
jessmorecroft/Exchange
|
7b190b22304c6381db22b7722f0ce4518de3df2c
|
[
"MIT"
] | 3
|
2020-06-24T20:10:25.000Z
|
2021-06-09T21:43:06.000Z
|
part_1/cython_solution/test_order.py
|
jessmorecroft/Exchange
|
7b190b22304c6381db22b7722f0ce4518de3df2c
|
[
"MIT"
] | 9
|
2019-06-15T20:01:48.000Z
|
2020-06-05T03:40:29.000Z
|
part_1/cython_solution/test_order.py
|
jessmorecroft/Exchange
|
7b190b22304c6381db22b7722f0ce4518de3df2c
|
[
"MIT"
] | 8
|
2017-06-15T02:09:23.000Z
|
2021-01-11T10:11:38.000Z
|
#! /usr/bin/env python
import unittest
import Exchange
class TestOrder(unittest.TestCase):
def test_create(self):
o = Exchange.Order("A:AUDUSD:100:1.47\n")
self.assertEqual(o.qty, 100)
self.assertEqual(o.instrument, "AUDUSD")
self.assertEqual(o.id, "A")
self.assertEqual(o.price, 1.47)
self.assertEqual(o.side, "B")
def test_create_sell(self):
o = Exchange.Order("A:AUDUSD:-100:1.47\n")
self.assertEqual(o.qty, 100)
self.assertEqual(o.instrument, "AUDUSD")
self.assertEqual(o.id, "A")
self.assertEqual(o.price, 1.47)
self.assertEqual(o.side, "S")
def test_generation(self):
o = Exchange.Order("A:AUDUSD:-100:1.47\n")
o2 = Exchange.Order("A:AUDUSD:-100:1.47\n")
self.assertGreater(o2.generation, o.generation)
if __name__ == "__main__":
unittest.main()
| 31.034483
| 55
| 0.616667
| 124
| 900
| 4.379032
| 0.298387
| 0.276243
| 0.294659
| 0.14733
| 0.664825
| 0.664825
| 0.664825
| 0.664825
| 0.664825
| 0.607735
| 0
| 0.054441
| 0.224444
| 900
| 29
| 56
| 31.034483
| 0.723496
| 0.023333
| 0
| 0.434783
| 0
| 0
| 0.117179
| 0
| 0
| 0
| 0
| 0
| 0.478261
| 1
| 0.130435
| false
| 0
| 0.086957
| 0
| 0.26087
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
edb3e90c1d88fa3bf48af35989b297403e904593
| 124
|
py
|
Python
|
housing/api/paginations.py
|
Unous1996/Pikachu-Housing
|
acd1f06ddc3b0e5b300ccd5b500e0c2bad5cd1af
|
[
"Apache-2.0"
] | 1
|
2019-03-23T18:49:31.000Z
|
2019-03-23T18:49:31.000Z
|
housing/api/paginations.py
|
DeepinSC/Pikachu-Housing
|
453201e19812e356106c071bbf9a306931d14fa7
|
[
"Apache-2.0"
] | null | null | null |
housing/api/paginations.py
|
DeepinSC/Pikachu-Housing
|
453201e19812e356106c071bbf9a306931d14fa7
|
[
"Apache-2.0"
] | 1
|
2019-04-24T06:40:49.000Z
|
2019-04-24T06:40:49.000Z
|
from rest_framework.pagination import PageNumberPagination
class HousePagination(PageNumberPagination):
page_size = 10
| 24.8
| 58
| 0.846774
| 12
| 124
| 8.583333
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018182
| 0.112903
| 124
| 5
| 59
| 24.8
| 0.918182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
edb58bac222e2c6fa77e8ad698503cda81e6a2c6
| 378
|
py
|
Python
|
src/fastapi/src/di/__init__.py
|
ojos/python-devenv
|
23df63ae585386e378da6c45ba6bc26686b931a1
|
[
"MIT"
] | null | null | null |
src/fastapi/src/di/__init__.py
|
ojos/python-devenv
|
23df63ae585386e378da6c45ba6bc26686b931a1
|
[
"MIT"
] | null | null | null |
src/fastapi/src/di/__init__.py
|
ojos/python-devenv
|
23df63ae585386e378da6c45ba6bc26686b931a1
|
[
"MIT"
] | null | null | null |
from .forcast import PostForcastInteractorFactory
from .prize import GetPrizeInteractorFactory
from .rdb import RdbCommandFactory
from .user import CreateUserInteractorFactory, GetUserInteractorFactory
__all__ = [
"PostForcastInteractorFactory",
"GetPrizeInteractorFactory",
"RdbCommandFactory",
"CreateUserInteractorFactory",
"GetUserInteractorFactory",
]
| 29.076923
| 71
| 0.814815
| 23
| 378
| 13.217391
| 0.521739
| 0.335526
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124339
| 378
| 12
| 72
| 31.5
| 0.918429
| 0
| 0
| 0
| 0
| 0
| 0.320106
| 0.275132
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.363636
| 0
| 0.363636
| 0
| 1
| 0
| 1
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
edb78b9cb046295bd64685e003a5e9be134c9ef7
| 15
|
py
|
Python
|
config/log.py
|
ipseityperse/app_framework
|
71a78439eada92fdbcfac9f62a8f2cea939068c8
|
[
"MIT"
] | null | null | null |
config/log.py
|
ipseityperse/app_framework
|
71a78439eada92fdbcfac9f62a8f2cea939068c8
|
[
"MIT"
] | null | null | null |
config/log.py
|
ipseityperse/app_framework
|
71a78439eada92fdbcfac9f62a8f2cea939068c8
|
[
"MIT"
] | null | null | null |
class log:
| 7.5
| 10
| 0.533333
| 2
| 15
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.4
| 15
| 2
| 11
| 7.5
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ede59ada1132a73c9d2c03068978ee159cb8b218
| 189
|
py
|
Python
|
docs_src/behind_a_proxy/tutorial001.py
|
Aryabhata-Rootspring/fastapi
|
f6237ad05a8468ac19c591181adad38d75372c46
|
[
"MIT"
] | 53,007
|
2018-12-08T10:05:29.000Z
|
2022-03-31T23:30:02.000Z
|
docs_src/behind_a_proxy/tutorial001.py
|
Aryabhata-Rootspring/fastapi
|
f6237ad05a8468ac19c591181adad38d75372c46
|
[
"MIT"
] | 4,155
|
2019-01-05T05:07:49.000Z
|
2022-03-31T21:25:38.000Z
|
docs_src/behind_a_proxy/tutorial001.py
|
Aryabhata-Rootspring/fastapi
|
f6237ad05a8468ac19c591181adad38d75372c46
|
[
"MIT"
] | 4,092
|
2018-12-09T16:21:00.000Z
|
2022-03-31T07:59:45.000Z
|
from fastapi import FastAPI, Request
app = FastAPI()
@app.get("/app")
def read_main(request: Request):
return {"message": "Hello World", "root_path": request.scope.get("root_path")}
| 21
| 82
| 0.698413
| 26
| 189
| 4.961538
| 0.615385
| 0.124031
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132275
| 189
| 8
| 83
| 23.625
| 0.786585
| 0
| 0
| 0
| 0
| 0
| 0.21164
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
ede89de2a05e6e2038d6c76e73c176882bd9bcd8
| 70,374
|
py
|
Python
|
django/tests/regressiontests/forms/localflavor.py
|
jonaustin/advisoryscan
|
ba452c155f0d478450e0c91de5ea00f404e98616
|
[
"MIT"
] | null | null | null |
django/tests/regressiontests/forms/localflavor.py
|
jonaustin/advisoryscan
|
ba452c155f0d478450e0c91de5ea00f404e98616
|
[
"MIT"
] | null | null | null |
django/tests/regressiontests/forms/localflavor.py
|
jonaustin/advisoryscan
|
ba452c155f0d478450e0c91de5ea00f404e98616
|
[
"MIT"
] | 1
|
2018-12-06T12:50:52.000Z
|
2018-12-06T12:50:52.000Z
|
# -*- coding: utf-8 -*-
# Tests for the different contrib/localflavor/ form fields.
localflavor_tests = r"""
# USZipCodeField ##############################################################
USZipCodeField validates that the data is either a five-digit U.S. zip code or
a zip+4.
>>> from django.contrib.localflavor.us.forms import USZipCodeField
>>> f = USZipCodeField()
>>> f.clean('60606')
u'60606'
>>> f.clean(60606)
u'60606'
>>> f.clean('04000')
u'04000'
>>> f.clean('4000')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX or XXXXX-XXXX.']
>>> f.clean('60606-1234')
u'60606-1234'
>>> f.clean('6060-1234')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX or XXXXX-XXXX.']
>>> f.clean('60606-')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX or XXXXX-XXXX.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = USZipCodeField(required=False)
>>> f.clean('60606')
u'60606'
>>> f.clean(60606)
u'60606'
>>> f.clean('04000')
u'04000'
>>> f.clean('4000')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX or XXXXX-XXXX.']
>>> f.clean('60606-1234')
u'60606-1234'
>>> f.clean('6060-1234')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX or XXXXX-XXXX.']
>>> f.clean('60606-')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX or XXXXX-XXXX.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# USPhoneNumberField ##########################################################
USPhoneNumberField validates that the data is a valid U.S. phone number,
including the area code. It's normalized to XXX-XXX-XXXX format.
>>> from django.contrib.localflavor.us.forms import USPhoneNumberField
>>> f = USPhoneNumberField()
>>> f.clean('312-555-1212')
u'312-555-1212'
>>> f.clean('3125551212')
u'312-555-1212'
>>> f.clean('312 555-1212')
u'312-555-1212'
>>> f.clean('(312) 555-1212')
u'312-555-1212'
>>> f.clean('312 555 1212')
u'312-555-1212'
>>> f.clean('312.555.1212')
u'312-555-1212'
>>> f.clean('312.555-1212')
u'312-555-1212'
>>> f.clean(' (312) 555.1212 ')
u'312-555-1212'
>>> f.clean('555-1212')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in XXX-XXX-XXXX format.']
>>> f.clean('312-55-1212')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in XXX-XXX-XXXX format.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = USPhoneNumberField(required=False)
>>> f.clean('312-555-1212')
u'312-555-1212'
>>> f.clean('3125551212')
u'312-555-1212'
>>> f.clean('312 555-1212')
u'312-555-1212'
>>> f.clean('(312) 555-1212')
u'312-555-1212'
>>> f.clean('312 555 1212')
u'312-555-1212'
>>> f.clean('312.555.1212')
u'312-555-1212'
>>> f.clean('312.555-1212')
u'312-555-1212'
>>> f.clean(' (312) 555.1212 ')
u'312-555-1212'
>>> f.clean('555-1212')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in XXX-XXX-XXXX format.']
>>> f.clean('312-55-1212')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in XXX-XXX-XXXX format.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# USStateField ################################################################
USStateField validates that the data is either an abbreviation or name of a
U.S. state.
>>> from django.contrib.localflavor.us.forms import USStateField
>>> f = USStateField()
>>> f.clean('il')
u'IL'
>>> f.clean('IL')
u'IL'
>>> f.clean('illinois')
u'IL'
>>> f.clean(' illinois ')
u'IL'
>>> f.clean(60606)
Traceback (most recent call last):
...
ValidationError: [u'Enter a U.S. state or territory.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = USStateField(required=False)
>>> f.clean('il')
u'IL'
>>> f.clean('IL')
u'IL'
>>> f.clean('illinois')
u'IL'
>>> f.clean(' illinois ')
u'IL'
>>> f.clean(60606)
Traceback (most recent call last):
...
ValidationError: [u'Enter a U.S. state or territory.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# USStateSelect ###############################################################
USStateSelect is a Select widget that uses a list of U.S. states/territories
as its choices.
>>> from django.contrib.localflavor.us.forms import USStateSelect
>>> w = USStateSelect()
>>> print w.render('state', 'IL')
<select name="state">
<option value="AL">Alabama</option>
<option value="AK">Alaska</option>
<option value="AS">American Samoa</option>
<option value="AZ">Arizona</option>
<option value="AR">Arkansas</option>
<option value="CA">California</option>
<option value="CO">Colorado</option>
<option value="CT">Connecticut</option>
<option value="DE">Delaware</option>
<option value="DC">District of Columbia</option>
<option value="FM">Federated States of Micronesia</option>
<option value="FL">Florida</option>
<option value="GA">Georgia</option>
<option value="GU">Guam</option>
<option value="HI">Hawaii</option>
<option value="ID">Idaho</option>
<option value="IL" selected="selected">Illinois</option>
<option value="IN">Indiana</option>
<option value="IA">Iowa</option>
<option value="KS">Kansas</option>
<option value="KY">Kentucky</option>
<option value="LA">Louisiana</option>
<option value="ME">Maine</option>
<option value="MH">Marshall Islands</option>
<option value="MD">Maryland</option>
<option value="MA">Massachusetts</option>
<option value="MI">Michigan</option>
<option value="MN">Minnesota</option>
<option value="MS">Mississippi</option>
<option value="MO">Missouri</option>
<option value="MT">Montana</option>
<option value="NE">Nebraska</option>
<option value="NV">Nevada</option>
<option value="NH">New Hampshire</option>
<option value="NJ">New Jersey</option>
<option value="NM">New Mexico</option>
<option value="NY">New York</option>
<option value="NC">North Carolina</option>
<option value="ND">North Dakota</option>
<option value="MP">Northern Mariana Islands</option>
<option value="OH">Ohio</option>
<option value="OK">Oklahoma</option>
<option value="OR">Oregon</option>
<option value="PW">Palau</option>
<option value="PA">Pennsylvania</option>
<option value="PR">Puerto Rico</option>
<option value="RI">Rhode Island</option>
<option value="SC">South Carolina</option>
<option value="SD">South Dakota</option>
<option value="TN">Tennessee</option>
<option value="TX">Texas</option>
<option value="UT">Utah</option>
<option value="VT">Vermont</option>
<option value="VI">Virgin Islands</option>
<option value="VA">Virginia</option>
<option value="WA">Washington</option>
<option value="WV">West Virginia</option>
<option value="WI">Wisconsin</option>
<option value="WY">Wyoming</option>
</select>
# USSocialSecurityNumberField #################################################
>>> from django.contrib.localflavor.us.forms import USSocialSecurityNumberField
>>> f = USSocialSecurityNumberField()
>>> f.clean('987-65-4330')
u'987-65-4330'
>>> f.clean('987654330')
u'987-65-4330'
>>> f.clean('078-05-1120')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid U.S. Social Security number in XXX-XX-XXXX format.']
# UKPostcodeField #############################################################
UKPostcodeField validates that the data is a valid UK postcode.
>>> from django.contrib.localflavor.uk.forms import UKPostcodeField
>>> f = UKPostcodeField()
>>> f.clean('BT32 4PX')
u'BT32 4PX'
>>> f.clean('GIR 0AA')
u'GIR 0AA'
>>> f.clean('BT324PX')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postcode. A space is required between the two postcode parts.']
>>> f.clean('1NV 4L1D')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postcode. A space is required between the two postcode parts.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = UKPostcodeField(required=False)
>>> f.clean('BT32 4PX')
u'BT32 4PX'
>>> f.clean('GIR 0AA')
u'GIR 0AA'
>>> f.clean('1NV 4L1D')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postcode. A space is required between the two postcode parts.']
>>> f.clean('BT324PX')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postcode. A space is required between the two postcode parts.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# FRZipCodeField #############################################################
FRZipCodeField validates that the data is a valid FR zipcode.
>>> from django.contrib.localflavor.fr.forms import FRZipCodeField
>>> f = FRZipCodeField()
>>> f.clean('75001')
u'75001'
>>> f.clean('93200')
u'93200'
>>> f.clean('2A200')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean('980001')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = FRZipCodeField(required=False)
>>> f.clean('75001')
u'75001'
>>> f.clean('93200')
u'93200'
>>> f.clean('2A200')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean('980001')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# FRPhoneNumberField ##########################################################
FRPhoneNumberField validates that the data is a valid french phone number.
It's normalized to 0X XX XX XX XX format. Dots are valid too.
>>> from django.contrib.localflavor.fr.forms import FRPhoneNumberField
>>> f = FRPhoneNumberField()
>>> f.clean('01 55 44 58 64')
u'01 55 44 58 64'
>>> f.clean('0155445864')
u'01 55 44 58 64'
>>> f.clean('01 5544 5864')
u'01 55 44 58 64'
>>> f.clean('01 55.44.58.64')
u'01 55 44 58 64'
>>> f.clean('01.55.44.58.64')
u'01 55 44 58 64'
>>> f.clean('01,55,44,58,64')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in 0X XX XX XX XX format.']
>>> f.clean('555 015 544')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in 0X XX XX XX XX format.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = FRPhoneNumberField(required=False)
>>> f.clean('01 55 44 58 64')
u'01 55 44 58 64'
>>> f.clean('0155445864')
u'01 55 44 58 64'
>>> f.clean('01 5544 5864')
u'01 55 44 58 64'
>>> f.clean('01 55.44.58.64')
u'01 55 44 58 64'
>>> f.clean('01.55.44.58.64')
u'01 55 44 58 64'
>>> f.clean('01,55,44,58,64')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in 0X XX XX XX XX format.']
>>> f.clean('555 015 544')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in 0X XX XX XX XX format.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# FRDepartmentSelect ###############################################################
FRDepartmentSelect is a Select widget that uses a list of french departments
including DOM TOM
>>> from django.contrib.localflavor.fr.forms import FRDepartmentSelect
>>> w = FRDepartmentSelect()
>>> print w.render('dep', 'Paris')
<select name="dep">
<option value="01">01 - Ain</option>
<option value="02">02 - Aisne</option>
<option value="03">03 - Allier</option>
<option value="04">04 - Alpes-de-Haute-Provence</option>
<option value="05">05 - Hautes-Alpes</option>
<option value="06">06 - Alpes-Maritimes</option>
<option value="07">07 - Ardeche</option>
<option value="08">08 - Ardennes</option>
<option value="09">09 - Ariege</option>
<option value="10">10 - Aube</option>
<option value="11">11 - Aude</option>
<option value="12">12 - Aveyron</option>
<option value="13">13 - Bouches-du-Rhone</option>
<option value="14">14 - Calvados</option>
<option value="15">15 - Cantal</option>
<option value="16">16 - Charente</option>
<option value="17">17 - Charente-Maritime</option>
<option value="18">18 - Cher</option>
<option value="19">19 - Correze</option>
<option value="21">21 - Cote-d'Or</option>
<option value="22">22 - Cotes-d'Armor</option>
<option value="23">23 - Creuse</option>
<option value="24">24 - Dordogne</option>
<option value="25">25 - Doubs</option>
<option value="26">26 - Drome</option>
<option value="27">27 - Eure</option>
<option value="28">28 - Eure-et-Loire</option>
<option value="29">29 - Finistere</option>
<option value="2A">2A - Corse-du-Sud</option>
<option value="2B">2B - Haute-Corse</option>
<option value="30">30 - Gard</option>
<option value="31">31 - Haute-Garonne</option>
<option value="32">32 - Gers</option>
<option value="33">33 - Gironde</option>
<option value="34">34 - Herault</option>
<option value="35">35 - Ille-et-Vilaine</option>
<option value="36">36 - Indre</option>
<option value="37">37 - Indre-et-Loire</option>
<option value="38">38 - Isere</option>
<option value="39">39 - Jura</option>
<option value="40">40 - Landes</option>
<option value="41">41 - Loir-et-Cher</option>
<option value="42">42 - Loire</option>
<option value="43">43 - Haute-Loire</option>
<option value="44">44 - Loire-Atlantique</option>
<option value="45">45 - Loiret</option>
<option value="46">46 - Lot</option>
<option value="47">47 - Lot-et-Garonne</option>
<option value="48">48 - Lozere</option>
<option value="49">49 - Maine-et-Loire</option>
<option value="50">50 - Manche</option>
<option value="51">51 - Marne</option>
<option value="52">52 - Haute-Marne</option>
<option value="53">53 - Mayenne</option>
<option value="54">54 - Meurthe-et-Moselle</option>
<option value="55">55 - Meuse</option>
<option value="56">56 - Morbihan</option>
<option value="57">57 - Moselle</option>
<option value="58">58 - Nievre</option>
<option value="59">59 - Nord</option>
<option value="60">60 - Oise</option>
<option value="61">61 - Orne</option>
<option value="62">62 - Pas-de-Calais</option>
<option value="63">63 - Puy-de-Dome</option>
<option value="64">64 - Pyrenees-Atlantiques</option>
<option value="65">65 - Hautes-Pyrenees</option>
<option value="66">66 - Pyrenees-Orientales</option>
<option value="67">67 - Bas-Rhin</option>
<option value="68">68 - Haut-Rhin</option>
<option value="69">69 - Rhone</option>
<option value="70">70 - Haute-Saone</option>
<option value="71">71 - Saone-et-Loire</option>
<option value="72">72 - Sarthe</option>
<option value="73">73 - Savoie</option>
<option value="74">74 - Haute-Savoie</option>
<option value="75">75 - Paris</option>
<option value="76">76 - Seine-Maritime</option>
<option value="77">77 - Seine-et-Marne</option>
<option value="78">78 - Yvelines</option>
<option value="79">79 - Deux-Sevres</option>
<option value="80">80 - Somme</option>
<option value="81">81 - Tarn</option>
<option value="82">82 - Tarn-et-Garonne</option>
<option value="83">83 - Var</option>
<option value="84">84 - Vaucluse</option>
<option value="85">85 - Vendee</option>
<option value="86">86 - Vienne</option>
<option value="87">87 - Haute-Vienne</option>
<option value="88">88 - Vosges</option>
<option value="89">89 - Yonne</option>
<option value="90">90 - Territoire de Belfort</option>
<option value="91">91 - Essonne</option>
<option value="92">92 - Hauts-de-Seine</option>
<option value="93">93 - Seine-Saint-Denis</option>
<option value="94">94 - Val-de-Marne</option>
<option value="95">95 - Val-d'Oise</option>
<option value="2A">2A - Corse du sud</option>
<option value="2B">2B - Haute Corse</option>
<option value="971">971 - Guadeloupe</option>
<option value="972">972 - Martinique</option>
<option value="973">973 - Guyane</option>
<option value="974">974 - La Reunion</option>
<option value="975">975 - Saint-Pierre-et-Miquelon</option>
<option value="976">976 - Mayotte</option>
<option value="984">984 - Terres Australes et Antarctiques</option>
<option value="986">986 - Wallis et Futuna</option>
<option value="987">987 - Polynesie Francaise</option>
<option value="988">988 - Nouvelle-Caledonie</option>
</select>
# JPPostalCodeField ###############################################################
A form field that validates its input is a Japanese postcode.
Accepts 7 digits(with/out hyphen).
>>> from django.contrib.localflavor.jp.forms import JPPostalCodeField
>>> f = JPPostalCodeField()
>>> f.clean('251-0032')
u'2510032'
>>> f.clean('2510032')
u'2510032'
>>> f.clean('2510-032')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postal code in the format XXXXXXX or XXX-XXXX.']
>>> f.clean('251a0032')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postal code in the format XXXXXXX or XXX-XXXX.']
>>> f.clean('a51-0032')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postal code in the format XXXXXXX or XXX-XXXX.']
>>> f.clean('25100321')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postal code in the format XXXXXXX or XXX-XXXX.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = JPPostalCodeField(required=False)
>>> f.clean('251-0032')
u'2510032'
>>> f.clean('2510032')
u'2510032'
>>> f.clean('2510-032')
Traceback (most recent call last):
...
ValidationError: [u'Enter a postal code in the format XXXXXXX or XXX-XXXX.']
>>> f.clean('')
u''
>>> f.clean(None)
u''
# JPPrefectureSelect ###############################################################
A Select widget that uses a list of Japanese prefectures as its choices.
>>> from django.contrib.localflavor.jp.forms import JPPrefectureSelect
>>> w = JPPrefectureSelect()
>>> print w.render('prefecture', 'kanagawa')
<select name="prefecture">
<option value="hokkaido">Hokkaido</option>
<option value="aomori">Aomori</option>
<option value="iwate">Iwate</option>
<option value="miyagi">Miyagi</option>
<option value="akita">Akita</option>
<option value="yamagata">Yamagata</option>
<option value="fukushima">Fukushima</option>
<option value="ibaraki">Ibaraki</option>
<option value="tochigi">Tochigi</option>
<option value="gunma">Gunma</option>
<option value="saitama">Saitama</option>
<option value="chiba">Chiba</option>
<option value="tokyo">Tokyo</option>
<option value="kanagawa" selected="selected">Kanagawa</option>
<option value="yamanashi">Yamanashi</option>
<option value="nagano">Nagano</option>
<option value="niigata">Niigata</option>
<option value="toyama">Toyama</option>
<option value="ishikawa">Ishikawa</option>
<option value="fukui">Fukui</option>
<option value="gifu">Gifu</option>
<option value="shizuoka">Shizuoka</option>
<option value="aichi">Aichi</option>
<option value="mie">Mie</option>
<option value="shiga">Shiga</option>
<option value="kyoto">Kyoto</option>
<option value="osaka">Osaka</option>
<option value="hyogo">Hyogo</option>
<option value="nara">Nara</option>
<option value="wakayama">Wakayama</option>
<option value="tottori">Tottori</option>
<option value="shimane">Shimane</option>
<option value="okayama">Okayama</option>
<option value="hiroshima">Hiroshima</option>
<option value="yamaguchi">Yamaguchi</option>
<option value="tokushima">Tokushima</option>
<option value="kagawa">Kagawa</option>
<option value="ehime">Ehime</option>
<option value="kochi">Kochi</option>
<option value="fukuoka">Fukuoka</option>
<option value="saga">Saga</option>
<option value="nagasaki">Nagasaki</option>
<option value="kumamoto">Kumamoto</option>
<option value="oita">Oita</option>
<option value="miyazaki">Miyazaki</option>
<option value="kagoshima">Kagoshima</option>
<option value="okinawa">Okinawa</option>
</select>
# ITZipCodeField #############################################################
>>> from django.contrib.localflavor.it.forms import ITZipCodeField
>>> f = ITZipCodeField()
>>> f.clean('00100')
u'00100'
>>> f.clean(' 00100')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid zip code.']
# ITRegionSelect #############################################################
>>> from django.contrib.localflavor.it.forms import ITRegionSelect
>>> w = ITRegionSelect()
>>> w.render('regions', 'PMN')
u'<select name="regions">\n<option value="ABR">Abruzzo</option>\n<option value="BAS">Basilicata</option>\n<option value="CAL">Calabria</option>\n<option value="CAM">Campania</option>\n<option value="EMR">Emilia-Romagna</option>\n<option value="FVG">Friuli-Venezia Giulia</option>\n<option value="LAZ">Lazio</option>\n<option value="LIG">Liguria</option>\n<option value="LOM">Lombardia</option>\n<option value="MAR">Marche</option>\n<option value="MOL">Molise</option>\n<option value="PMN" selected="selected">Piemonte</option>\n<option value="PUG">Puglia</option>\n<option value="SAR">Sardegna</option>\n<option value="SIC">Sicilia</option>\n<option value="TOS">Toscana</option>\n<option value="TAA">Trentino-Alto Adige</option>\n<option value="UMB">Umbria</option>\n<option value="VAO">Valle d\u2019Aosta</option>\n<option value="VEN">Veneto</option>\n</select>'
# ITSocialSecurityNumberField #################################################
>>> from django.contrib.localflavor.it.forms import ITSocialSecurityNumberField
>>> f = ITSocialSecurityNumberField()
>>> f.clean('LVSGDU99T71H501L')
u'LVSGDU99T71H501L'
>>> f.clean('LBRRME11A01L736W')
u'LBRRME11A01L736W'
>>> f.clean('lbrrme11a01l736w')
u'LBRRME11A01L736W'
>>> f.clean('LBR RME 11A01 L736W')
u'LBRRME11A01L736W'
>>> f.clean('LBRRME11A01L736A')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Social Security number.']
>>> f.clean('%BRRME11A01L736W')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Social Security number.']
# ITVatNumberField ###########################################################
>>> from django.contrib.localflavor.it.forms import ITVatNumberField
>>> f = ITVatNumberField()
>>> f.clean('07973780013')
u'07973780013'
>>> f.clean('7973780013')
u'07973780013'
>>> f.clean(7973780013)
u'07973780013'
>>> f.clean('07973780014')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid VAT number.']
>>> f.clean('A7973780013')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid VAT number.']
# FIZipCodeField #############################################################
FIZipCodeField validates that the data is a valid FI zipcode.
>>> from django.contrib.localflavor.fi.forms import FIZipCodeField
>>> f = FIZipCodeField()
>>> f.clean('20540')
u'20540'
>>> f.clean('20101')
u'20101'
>>> f.clean('20s40')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean('205401')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = FIZipCodeField(required=False)
>>> f.clean('20540')
u'20540'
>>> f.clean('20101')
u'20101'
>>> f.clean('20s40')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean('205401')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
# FIMunicipalitySelect ###############################################################
A Select widget that uses a list of Finnish municipalities as its choices.
>>> from django.contrib.localflavor.fi.forms import FIMunicipalitySelect
>>> w = FIMunicipalitySelect()
>>> unicode(w.render('municipalities', 'turku'))
u'<select name="municipalities">\n<option value="akaa">Akaa</option>\n<option value="alaharma">Alah\xe4rm\xe4</option>\n<option value="alajarvi">Alaj\xe4rvi</option>\n<option value="alastaro">Alastaro</option>\n<option value="alavieska">Alavieska</option>\n<option value="alavus">Alavus</option>\n<option value="anjalankoski">Anjalankoski</option>\n<option value="artjarvi">Artj\xe4rvi</option>\n<option value="asikkala">Asikkala</option>\n<option value="askainen">Askainen</option>\n<option value="askola">Askola</option>\n<option value="aura">Aura</option>\n<option value="brando">Br\xe4nd\xf6</option>\n<option value="dragsfjard">Dragsfj\xe4rd</option>\n<option value="eckero">Ecker\xf6</option>\n<option value="elimaki">Elim\xe4ki</option>\n<option value="eno">Eno</option>\n<option value="enonkoski">Enonkoski</option>\n<option value="enontekio">Enonteki\xf6</option>\n<option value="espoo">Espoo</option>\n<option value="eura">Eura</option>\n<option value="eurajoki">Eurajoki</option>\n<option value="evijarvi">Evij\xe4rvi</option>\n<option value="finstrom">Finstr\xf6m</option>\n<option value="forssa">Forssa</option>\n<option value="foglo">F\xf6gl\xf6</option>\n<option value="geta">Geta</option>\n<option value="haapajarvi">Haapaj\xe4rvi</option>\n<option value="haapavesi">Haapavesi</option>\n<option value="hailuoto">Hailuoto</option>\n<option value="halikko">Halikko</option>\n<option value="halsua">Halsua</option>\n<option value="hamina">Hamina</option>\n<option value="hammarland">Hammarland</option>\n<option value="hankasalmi">Hankasalmi</option>\n<option value="hanko">Hanko</option>\n<option value="harjavalta">Harjavalta</option>\n<option value="hartola">Hartola</option>\n<option value="hattula">Hattula</option>\n<option value="hauho">Hauho</option>\n<option value="haukipudas">Haukipudas</option>\n<option value="hausjarvi">Hausj\xe4rvi</option>\n<option value="heinola">Heinola</option>\n<option value="heinavesi">Hein\xe4vesi</option>\n<option value="helsinki">Helsinki</option>\n<option value="himanka">Himanka</option>\n<option value="hirvensalmi">Hirvensalmi</option>\n<option value="hollola">Hollola</option>\n<option value="honkajoki">Honkajoki</option>\n<option value="houtskari">Houtskari</option>\n<option value="huittinen">Huittinen</option>\n<option value="humppila">Humppila</option>\n<option value="hyrynsalmi">Hyrynsalmi</option>\n<option value="hyvinkaa">Hyvink\xe4\xe4</option>\n<option value="hameenkoski">H\xe4meenkoski</option>\n<option value="hameenkyro">H\xe4meenkyr\xf6</option>\n<option value="hameenlinna">H\xe4meenlinna</option>\n<option value="ii">Ii</option>\n<option value="iisalmi">Iisalmi</option>\n<option value="iitti">Iitti</option>\n<option value="ikaalinen">Ikaalinen</option>\n<option value="ilmajoki">Ilmajoki</option>\n<option value="ilomantsi">Ilomantsi</option>\n<option value="imatra">Imatra</option>\n<option value="inari">Inari</option>\n<option value="inio">Ini\xf6</option>\n<option value="inkoo">Inkoo</option>\n<option value="isojoki">Isojoki</option>\n<option value="isokyro">Isokyr\xf6</option>\n<option value="jaala">Jaala</option>\n<option value="jalasjarvi">Jalasj\xe4rvi</option>\n<option value="janakkala">Janakkala</option>\n<option value="joensuu">Joensuu</option>\n<option value="jokioinen">Jokioinen</option>\n<option value="jomala">Jomala</option>\n<option value="joroinen">Joroinen</option>\n<option value="joutsa">Joutsa</option>\n<option value="joutseno">Joutseno</option>\n<option value="juankoski">Juankoski</option>\n<option value="jurva">Jurva</option>\n<option value="juuka">Juuka</option>\n<option value="juupajoki">Juupajoki</option>\n<option value="juva">Juva</option>\n<option value="jyvaskyla">Jyv\xe4skyl\xe4</option>\n<option value="jyvaskylan_mlk">Jyv\xe4skyl\xe4n maalaiskunta</option>\n<option value="jamijarvi">J\xe4mij\xe4rvi</option>\n<option value="jamsa">J\xe4ms\xe4</option>\n<option value="jamsankoski">J\xe4ms\xe4nkoski</option>\n<option value="jarvenpaa">J\xe4rvenp\xe4\xe4</option>\n<option value="kaarina">Kaarina</option>\n<option value="kaavi">Kaavi</option>\n<option value="kajaani">Kajaani</option>\n<option value="kalajoki">Kalajoki</option>\n<option value="kalvola">Kalvola</option>\n<option value="kangasala">Kangasala</option>\n<option value="kangasniemi">Kangasniemi</option>\n<option value="kankaanpaa">Kankaanp\xe4\xe4</option>\n<option value="kannonkoski">Kannonkoski</option>\n<option value="kannus">Kannus</option>\n<option value="karijoki">Karijoki</option>\n<option value="karjaa">Karjaa</option>\n<option value="karjalohja">Karjalohja</option>\n<option value="karkkila">Karkkila</option>\n<option value="karstula">Karstula</option>\n<option value="karttula">Karttula</option>\n<option value="karvia">Karvia</option>\n<option value="kaskinen">Kaskinen</option>\n<option value="kauhajoki">Kauhajoki</option>\n<option value="kauhava">Kauhava</option>\n<option value="kauniainen">Kauniainen</option>\n<option value="kaustinen">Kaustinen</option>\n<option value="keitele">Keitele</option>\n<option value="kemi">Kemi</option>\n<option value="kemijarvi">Kemij\xe4rvi</option>\n<option value="keminmaa">Keminmaa</option>\n<option value="kemio">Kemi\xf6</option>\n<option value="kempele">Kempele</option>\n<option value="kerava">Kerava</option>\n<option value="kerimaki">Kerim\xe4ki</option>\n<option value="kestila">Kestil\xe4</option>\n<option value="kesalahti">Kes\xe4lahti</option>\n<option value="keuruu">Keuruu</option>\n<option value="kihnio">Kihni\xf6</option>\n<option value="kiikala">Kiikala</option>\n<option value="kiikoinen">Kiikoinen</option>\n<option value="kiiminki">Kiiminki</option>\n<option value="kinnula">Kinnula</option>\n<option value="kirkkonummi">Kirkkonummi</option>\n<option value="kisko">Kisko</option>\n<option value="kitee">Kitee</option>\n<option value="kittila">Kittil\xe4</option>\n<option value="kiukainen">Kiukainen</option>\n<option value="kiuruvesi">Kiuruvesi</option>\n<option value="kivijarvi">Kivij\xe4rvi</option>\n<option value="kokemaki">Kokem\xe4ki</option>\n<option value="kokkola">Kokkola</option>\n<option value="kolari">Kolari</option>\n<option value="konnevesi">Konnevesi</option>\n<option value="kontiolahti">Kontiolahti</option>\n<option value="korpilahti">Korpilahti</option>\n<option value="korppoo">Korppoo</option>\n<option value="korsnas">Korsn\xe4s</option>\n<option value="kortesjarvi">Kortesj\xe4rvi</option>\n<option value="koskitl">KoskiTl</option>\n<option value="kotka">Kotka</option>\n<option value="kouvola">Kouvola</option>\n<option value="kristiinankaupunki">Kristiinankaupunki</option>\n<option value="kruunupyy">Kruunupyy</option>\n<option value="kuhmalahti">Kuhmalahti</option>\n<option value="kuhmo">Kuhmo</option>\n<option value="kuhmoinen">Kuhmoinen</option>\n<option value="kumlinge">Kumlinge</option>\n<option value="kuopio">Kuopio</option>\n<option value="kuortane">Kuortane</option>\n<option value="kurikka">Kurikka</option>\n<option value="kuru">Kuru</option>\n<option value="kustavi">Kustavi</option>\n<option value="kuusamo">Kuusamo</option>\n<option value="kuusankoski">Kuusankoski</option>\n<option value="kuusjoki">Kuusjoki</option>\n<option value="kylmakoski">Kylm\xe4koski</option>\n<option value="kyyjarvi">Kyyj\xe4rvi</option>\n<option value="kalvia">K\xe4lvi\xe4</option>\n<option value="karkola">K\xe4rk\xf6l\xe4</option>\n<option value="karsamaki">K\xe4rs\xe4m\xe4ki</option>\n<option value="kokar">K\xf6kar</option>\n<option value="koylio">K\xf6yli\xf6</option>\n<option value="lahti">Lahti</option>\n<option value="laihia">Laihia</option>\n<option value="laitila">Laitila</option>\n<option value="lammi">Lammi</option>\n<option value="lapinjarvi">Lapinj\xe4rvi</option>\n<option value="lapinlahti">Lapinlahti</option>\n<option value="lappajarvi">Lappaj\xe4rvi</option>\n<option value="lappeenranta">Lappeenranta</option>\n<option value="lappi">Lappi</option>\n<option value="lapua">Lapua</option>\n<option value="laukaa">Laukaa</option>\n<option value="lavia">Lavia</option>\n<option value="lehtimaki">Lehtim\xe4ki</option>\n<option value="leivonmaki">Leivonm\xe4ki</option>\n<option value="lemi">Lemi</option>\n<option value="lemland">Lemland</option>\n<option value="lempaala">Lemp\xe4\xe4l\xe4</option>\n<option value="lemu">Lemu</option>\n<option value="leppavirta">Lepp\xe4virta</option>\n<option value="lestijarvi">Lestij\xe4rvi</option>\n<option value="lieksa">Lieksa</option>\n<option value="lieto">Lieto</option>\n<option value="liljendal">Liljendal</option>\n<option value="liminka">Liminka</option>\n<option value="liperi">Liperi</option>\n<option value="lohja">Lohja</option>\n<option value="lohtaja">Lohtaja</option>\n<option value="loimaa">Loimaa</option>\n<option value="loppi">Loppi</option>\n<option value="loviisa">Loviisa</option>\n<option value="luhanka">Luhanka</option>\n<option value="lumijoki">Lumijoki</option>\n<option value="lumparland">Lumparland</option>\n<option value="luoto">Luoto</option>\n<option value="luumaki">Luum\xe4ki</option>\n<option value="luvia">Luvia</option>\n<option value="maalahti">Maalahti</option>\n<option value="maaninka">Maaninka</option>\n<option value="maarianhamina">Maarianhamina</option>\n<option value="marttila">Marttila</option>\n<option value="masku">Masku</option>\n<option value="mellila">Mellil\xe4</option>\n<option value="merijarvi">Merij\xe4rvi</option>\n<option value="merikarvia">Merikarvia</option>\n<option value="merimasku">Merimasku</option>\n<option value="miehikkala">Miehikk\xe4l\xe4</option>\n<option value="mikkeli">Mikkeli</option>\n<option value="mouhijarvi">Mouhij\xe4rvi</option>\n<option value="muhos">Muhos</option>\n<option value="multia">Multia</option>\n<option value="muonio">Muonio</option>\n<option value="mustasaari">Mustasaari</option>\n<option value="muurame">Muurame</option>\n<option value="muurla">Muurla</option>\n<option value="mynamaki">Myn\xe4m\xe4ki</option>\n<option value="myrskyla">Myrskyl\xe4</option>\n<option value="mantsala">M\xe4nts\xe4l\xe4</option>\n<option value="mantta">M\xe4ntt\xe4</option>\n<option value="mantyharju">M\xe4ntyharju</option>\n<option value="naantali">Naantali</option>\n<option value="nakkila">Nakkila</option>\n<option value="nastola">Nastola</option>\n<option value="nauvo">Nauvo</option>\n<option value="nilsia">Nilsi\xe4</option>\n<option value="nivala">Nivala</option>\n<option value="nokia">Nokia</option>\n<option value="noormarkku">Noormarkku</option>\n<option value="nousiainen">Nousiainen</option>\n<option value="nummi-pusula">Nummi-Pusula</option>\n<option value="nurmes">Nurmes</option>\n<option value="nurmijarvi">Nurmij\xe4rvi</option>\n<option value="nurmo">Nurmo</option>\n<option value="narpio">N\xe4rpi\xf6</option>\n<option value="oravainen">Oravainen</option>\n<option value="orimattila">Orimattila</option>\n<option value="oripaa">Orip\xe4\xe4</option>\n<option value="orivesi">Orivesi</option>\n<option value="oulainen">Oulainen</option>\n<option value="oulu">Oulu</option>\n<option value="oulunsalo">Oulunsalo</option>\n<option value="outokumpu">Outokumpu</option>\n<option value="padasjoki">Padasjoki</option>\n<option value="paimio">Paimio</option>\n<option value="paltamo">Paltamo</option>\n<option value="parainen">Parainen</option>\n<option value="parikkala">Parikkala</option>\n<option value="parkano">Parkano</option>\n<option value="pedersore">Peders\xf6re</option>\n<option value="pelkosenniemi">Pelkosenniemi</option>\n<option value="pello">Pello</option>\n<option value="perho">Perho</option>\n<option value="pernaja">Pernaja</option>\n<option value="pernio">Perni\xf6</option>\n<option value="pertteli">Pertteli</option>\n<option value="pertunmaa">Pertunmaa</option>\n<option value="petajavesi">Pet\xe4j\xe4vesi</option>\n<option value="pieksamaki">Pieks\xe4m\xe4ki</option>\n<option value="pielavesi">Pielavesi</option>\n<option value="pietarsaari">Pietarsaari</option>\n<option value="pihtipudas">Pihtipudas</option>\n<option value="piikkio">Piikki\xf6</option>\n<option value="piippola">Piippola</option>\n<option value="pirkkala">Pirkkala</option>\n<option value="pohja">Pohja</option>\n<option value="polvijarvi">Polvij\xe4rvi</option>\n<option value="pomarkku">Pomarkku</option>\n<option value="pori">Pori</option>\n<option value="pornainen">Pornainen</option>\n<option value="porvoo">Porvoo</option>\n<option value="posio">Posio</option>\n<option value="pudasjarvi">Pudasj\xe4rvi</option>\n<option value="pukkila">Pukkila</option>\n<option value="pulkkila">Pulkkila</option>\n<option value="punkaharju">Punkaharju</option>\n<option value="punkalaidun">Punkalaidun</option>\n<option value="puolanka">Puolanka</option>\n<option value="puumala">Puumala</option>\n<option value="pyhtaa">Pyht\xe4\xe4</option>\n<option value="pyhajoki">Pyh\xe4joki</option>\n<option value="pyhajarvi">Pyh\xe4j\xe4rvi</option>\n<option value="pyhanta">Pyh\xe4nt\xe4</option>\n<option value="pyharanta">Pyh\xe4ranta</option>\n<option value="pyhaselka">Pyh\xe4selk\xe4</option>\n<option value="pylkonmaki">Pylk\xf6nm\xe4ki</option>\n<option value="palkane">P\xe4lk\xe4ne</option>\n<option value="poytya">P\xf6yty\xe4</option>\n<option value="raahe">Raahe</option>\n<option value="raisio">Raisio</option>\n<option value="rantasalmi">Rantasalmi</option>\n<option value="rantsila">Rantsila</option>\n<option value="ranua">Ranua</option>\n<option value="rauma">Rauma</option>\n<option value="rautalampi">Rautalampi</option>\n<option value="rautavaara">Rautavaara</option>\n<option value="rautjarvi">Rautj\xe4rvi</option>\n<option value="reisjarvi">Reisj\xe4rvi</option>\n<option value="renko">Renko</option>\n<option value="riihimaki">Riihim\xe4ki</option>\n<option value="ristiina">Ristiina</option>\n<option value="ristijarvi">Ristij\xe4rvi</option>\n<option value="rovaniemi">Rovaniemi</option>\n<option value="ruokolahti">Ruokolahti</option>\n<option value="ruotsinpyhtaa">Ruotsinpyht\xe4\xe4</option>\n<option value="ruovesi">Ruovesi</option>\n<option value="rusko">Rusko</option>\n<option value="rymattyla">Rym\xe4ttyl\xe4</option>\n<option value="raakkyla">R\xe4\xe4kkyl\xe4</option>\n<option value="saarijarvi">Saarij\xe4rvi</option>\n<option value="salla">Salla</option>\n<option value="salo">Salo</option>\n<option value="saltvik">Saltvik</option>\n<option value="sammatti">Sammatti</option>\n<option value="sauvo">Sauvo</option>\n<option value="savitaipale">Savitaipale</option>\n<option value="savonlinna">Savonlinna</option>\n<option value="savonranta">Savonranta</option>\n<option value="savukoski">Savukoski</option>\n<option value="seinajoki">Sein\xe4joki</option>\n<option value="sievi">Sievi</option>\n<option value="siikainen">Siikainen</option>\n<option value="siikajoki">Siikajoki</option>\n<option value="siilinjarvi">Siilinj\xe4rvi</option>\n<option value="simo">Simo</option>\n<option value="sipoo">Sipoo</option>\n<option value="siuntio">Siuntio</option>\n<option value="sodankyla">Sodankyl\xe4</option>\n<option value="soini">Soini</option>\n<option value="somero">Somero</option>\n<option value="sonkajarvi">Sonkaj\xe4rvi</option>\n<option value="sotkamo">Sotkamo</option>\n<option value="sottunga">Sottunga</option>\n<option value="sulkava">Sulkava</option>\n<option value="sund">Sund</option>\n<option value="suomenniemi">Suomenniemi</option>\n<option value="suomusjarvi">Suomusj\xe4rvi</option>\n<option value="suomussalmi">Suomussalmi</option>\n<option value="suonenjoki">Suonenjoki</option>\n<option value="sysma">Sysm\xe4</option>\n<option value="sakyla">S\xe4kyl\xe4</option>\n<option value="sarkisalo">S\xe4rkisalo</option>\n<option value="taipalsaari">Taipalsaari</option>\n<option value="taivalkoski">Taivalkoski</option>\n<option value="taivassalo">Taivassalo</option>\n<option value="tammela">Tammela</option>\n<option value="tammisaari">Tammisaari</option>\n<option value="tampere">Tampere</option>\n<option value="tarvasjoki">Tarvasjoki</option>\n<option value="tervo">Tervo</option>\n<option value="tervola">Tervola</option>\n<option value="teuva">Teuva</option>\n<option value="tohmajarvi">Tohmaj\xe4rvi</option>\n<option value="toholampi">Toholampi</option>\n<option value="toivakka">Toivakka</option>\n<option value="tornio">Tornio</option>\n<option value="turku" selected="selected">Turku</option>\n<option value="tuulos">Tuulos</option>\n<option value="tuusniemi">Tuusniemi</option>\n<option value="tuusula">Tuusula</option>\n<option value="tyrnava">Tyrn\xe4v\xe4</option>\n<option value="toysa">T\xf6ys\xe4</option>\n<option value="ullava">Ullava</option>\n<option value="ulvila">Ulvila</option>\n<option value="urjala">Urjala</option>\n<option value="utajarvi">Utaj\xe4rvi</option>\n<option value="utsjoki">Utsjoki</option>\n<option value="uurainen">Uurainen</option>\n<option value="uusikaarlepyy">Uusikaarlepyy</option>\n<option value="uusikaupunki">Uusikaupunki</option>\n<option value="vaala">Vaala</option>\n<option value="vaasa">Vaasa</option>\n<option value="vahto">Vahto</option>\n<option value="valkeakoski">Valkeakoski</option>\n<option value="valkeala">Valkeala</option>\n<option value="valtimo">Valtimo</option>\n<option value="vammala">Vammala</option>\n<option value="vampula">Vampula</option>\n<option value="vantaa">Vantaa</option>\n<option value="varkaus">Varkaus</option>\n<option value="varpaisjarvi">Varpaisj\xe4rvi</option>\n<option value="vehmaa">Vehmaa</option>\n<option value="velkua">Velkua</option>\n<option value="vesanto">Vesanto</option>\n<option value="vesilahti">Vesilahti</option>\n<option value="veteli">Veteli</option>\n<option value="vierema">Vierem\xe4</option>\n<option value="vihanti">Vihanti</option>\n<option value="vihti">Vihti</option>\n<option value="viitasaari">Viitasaari</option>\n<option value="vilppula">Vilppula</option>\n<option value="vimpeli">Vimpeli</option>\n<option value="virolahti">Virolahti</option>\n<option value="virrat">Virrat</option>\n<option value="vardo">V\xe5rd\xf6</option>\n<option value="vahakyro">V\xe4h\xe4kyr\xf6</option>\n<option value="vastanfjard">V\xe4stanfj\xe4rd</option>\n<option value="voyri-maksamaa">V\xf6yri-Maksamaa</option>\n<option value="yliharma">Ylih\xe4rm\xe4</option>\n<option value="yli-ii">Yli-Ii</option>\n<option value="ylikiiminki">Ylikiiminki</option>\n<option value="ylistaro">Ylistaro</option>\n<option value="ylitornio">Ylitornio</option>\n<option value="ylivieska">Ylivieska</option>\n<option value="ylamaa">Yl\xe4maa</option>\n<option value="ylane">Yl\xe4ne</option>\n<option value="ylojarvi">Yl\xf6j\xe4rvi</option>\n<option value="ypaja">Yp\xe4j\xe4</option>\n<option value="aetsa">\xc4ets\xe4</option>\n<option value="ahtari">\xc4ht\xe4ri</option>\n<option value="aanekoski">\xc4\xe4nekoski</option>\n</select>'
# FISocialSecurityNumber
##############################################################
>>> from django.contrib.localflavor.fi.forms import FISocialSecurityNumber
>>> f = FISocialSecurityNumber()
>>> f.clean('010101-0101')
u'010101-0101'
>>> f.clean('010101+0101')
u'010101+0101'
>>> f.clean('010101A0101')
u'010101A0101'
>>> f.clean('101010-0102')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Finnish social security number.']
>>> f.clean('10a010-0101')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Finnish social security number.']
>>> f.clean('101010-0\xe401')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Finnish social security number.']
>>> f.clean('101010b0101')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Finnish social security number.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = FISocialSecurityNumber(required=False)
>>> f.clean('010101-0101')
u'010101-0101'
>>> f.clean(None)
u''
>>> f.clean('')
u''
# BRZipCodeField ############################################################
>>> from django.contrib.localflavor.br.forms import BRZipCodeField
>>> f = BRZipCodeField()
>>> f.clean('12345-123')
u'12345-123'
>>> f.clean('12345_123')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('1234-123')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('abcde-abc')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('12345-')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('-123')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = BRZipCodeField(required=False)
>>> f.clean(None)
u''
>>> f.clean('')
u''
>>> f.clean('-123')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('12345-')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('abcde-abc')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('1234-123')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('12345_123')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX-XXX.']
>>> f.clean('12345-123')
u'12345-123'
# BRCNPJField ############################################################
>>> from django.contrib.localflavor.br.forms import BRCNPJField
>>> f = BRCNPJField(required=True)
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('12-345-678/9012-10')
Traceback (most recent call last):
...
ValidationError: [u'Invalid CNPJ number.']
>>> f.clean('12.345.678/9012-10')
Traceback (most recent call last):
...
ValidationError: [u'Invalid CNPJ number.']
>>> f.clean('12345678/9012-10')
Traceback (most recent call last):
...
ValidationError: [u'Invalid CNPJ number.']
>>> f.clean('64.132.916/0001-88')
'64.132.916/0001-88'
>>> f.clean('64-132-916/0001-88')
'64-132-916/0001-88'
>>> f.clean('64132916/0001-88')
'64132916/0001-88'
>>> f.clean('64.132.916/0001-XX')
Traceback (most recent call last):
...
ValidationError: [u'This field requires only numbers.']
>>> f = BRCNPJField(required=False)
>>> f.clean('')
u''
# BRCPFField #################################################################
>>> from django.contrib.localflavor.br.forms import BRCPFField
>>> f = BRCPFField()
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('489.294.654-54')
Traceback (most recent call last):
...
ValidationError: [u'Invalid CPF number.']
>>> f.clean('295.669.575-98')
Traceback (most recent call last):
...
ValidationError: [u'Invalid CPF number.']
>>> f.clean('539.315.127-22')
Traceback (most recent call last):
...
ValidationError: [u'Invalid CPF number.']
>>> f.clean('663.256.017-26')
u'663.256.017-26'
>>> f.clean('66325601726')
u'66325601726'
>>> f.clean('375.788.573-20')
u'375.788.573-20'
>>> f.clean('84828509895')
u'84828509895'
>>> f.clean('375.788.573-XX')
Traceback (most recent call last):
...
ValidationError: [u'This field requires only numbers.']
>>> f.clean('375.788.573-000')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at most 14 characters.']
>>> f.clean('123.456.78')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at least 11 characters.']
>>> f.clean('123456789555')
Traceback (most recent call last):
...
ValidationError: [u'This field requires at most 11 digits or 14 characters.']
>>> f = BRCPFField(required=False)
>>> f.clean('')
u''
>>> f.clean(None)
u''
# BRPhoneNumberField #########################################################
>>> from django.contrib.localflavor.br.forms import BRPhoneNumberField
>>> f = BRPhoneNumberField()
>>> f.clean('41-3562-3464')
u'41-3562-3464'
>>> f.clean('4135623464')
u'41-3562-3464'
>>> f.clean('41 3562-3464')
u'41-3562-3464'
>>> f.clean('41 3562 3464')
u'41-3562-3464'
>>> f.clean('(41) 3562 3464')
u'41-3562-3464'
>>> f.clean('41.3562.3464')
u'41-3562-3464'
>>> f.clean('41.3562-3464')
u'41-3562-3464'
>>> f.clean(' (41) 3562.3464')
u'41-3562-3464'
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = BRPhoneNumberField(required=False)
>>> f.clean('')
u''
>>> f.clean(None)
u''
>>> f.clean(' (41) 3562.3464')
u'41-3562-3464'
>>> f.clean('41.3562-3464')
u'41-3562-3464'
>>> f.clean('(41) 3562 3464')
u'41-3562-3464'
>>> f.clean('4135623464')
u'41-3562-3464'
>>> f.clean('41 3562-3464')
u'41-3562-3464'
# BRStateSelect ##############################################################
>>> from django.contrib.localflavor.br.forms import BRStateSelect
>>> w = BRStateSelect()
>>> w.render('states', 'PR')
u'<select name="states">\n<option value="AC">Acre</option>\n<option value="AL">Alagoas</option>\n<option value="AP">Amap\xe1</option>\n<option value="AM">Amazonas</option>\n<option value="BA">Bahia</option>\n<option value="CE">Cear\xe1</option>\n<option value="DF">Distrito Federal</option>\n<option value="ES">Esp\xedrito Santo</option>\n<option value="GO">Goi\xe1s</option>\n<option value="MA">Maranh\xe3o</option>\n<option value="MT">Mato Grosso</option>\n<option value="MS">Mato Grosso do Sul</option>\n<option value="MG">Minas Gerais</option>\n<option value="PA">Par\xe1</option>\n<option value="PB">Para\xedba</option>\n<option value="PR" selected="selected">Paran\xe1</option>\n<option value="PE">Pernambuco</option>\n<option value="PI">Piau\xed</option>\n<option value="RJ">Rio de Janeiro</option>\n<option value="RN">Rio Grande do Norte</option>\n<option value="RS">Rio Grande do Sul</option>\n<option value="RO">Rond\xf4nia</option>\n<option value="RR">Roraima</option>\n<option value="SC">Santa Catarina</option>\n<option value="SP">S\xe3o Paulo</option>\n<option value="SE">Sergipe</option>\n<option value="TO">Tocantins</option>\n</select>'
# DEZipCodeField ##############################################################
>>> from django.contrib.localflavor.de.forms import DEZipCodeField
>>> f = DEZipCodeField()
>>> f.clean('99423')
u'99423'
>>> f.clean(' 99423')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXXX.']
# DEStateSelect #############################################################
>>> from django.contrib.localflavor.de.forms import DEStateSelect
>>> w = DEStateSelect()
>>> w.render('states', 'TH')
u'<select name="states">\n<option value="BW">Baden-Wuerttemberg</option>\n<option value="BY">Bavaria</option>\n<option value="BE">Berlin</option>\n<option value="BB">Brandenburg</option>\n<option value="HB">Bremen</option>\n<option value="HH">Hamburg</option>\n<option value="HE">Hessen</option>\n<option value="MV">Mecklenburg-Western Pomerania</option>\n<option value="NI">Lower Saxony</option>\n<option value="NW">North Rhine-Westphalia</option>\n<option value="RP">Rhineland-Palatinate</option>\n<option value="SL">Saarland</option>\n<option value="SN">Saxony</option>\n<option value="ST">Saxony-Anhalt</option>\n<option value="SH">Schleswig-Holstein</option>\n<option value="TH" selected="selected">Thuringia</option>\n</select>'
# DEIdentityCardNumberField #################################################
>>> from django.contrib.localflavor.de.forms import DEIdentityCardNumberField
>>> f = DEIdentityCardNumberField()
>>> f.clean('7549313035D-6004103-0903042-0')
u'7549313035D-6004103-0903042-0'
>>> f.clean('9786324830D 6104243 0910271 2')
u'9786324830D-6104243-0910271-2'
>>> f.clean('0434657485D-6407276-0508137-9')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid German identity card number in XXXXXXXXXXX-XXXXXXX-XXXXXXX-X format.']
# CHZipCodeField ############################################################
>>> from django.contrib.localflavor.ch.forms import CHZipCodeField
>>> f = CHZipCodeField()
>>> f.clean('800x')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXX.']
>>> f.clean('80 00')
Traceback (most recent call last):
...
ValidationError: [u'Enter a zip code in the format XXXX.']
>>> f.clean('8000')
u'8000'
# CHPhoneNumberField ########################################################
>>> from django.contrib.localflavor.ch.forms import CHPhoneNumberField
>>> f = CHPhoneNumberField()
>>> f.clean('01234567890')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in 0XX XXX XX XX format.']
>>> f.clean('1234567890')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must be in 0XX XXX XX XX format.']
>>> f.clean('0123456789')
u'012 345 67 89'
# CHIdentityCardNumberField #################################################
>>> from django.contrib.localflavor.ch.forms import CHIdentityCardNumberField
>>> f = CHIdentityCardNumberField()
>>> f.clean('C1234567<0')
u'C1234567<0'
>>> f.clean('C1234567<1')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Swiss identity or passport card number in X1234567<0 or 1234567890 format.']
>>> f.clean('2123456700')
u'2123456700'
>>> f.clean('2123456701')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Swiss identity or passport card number in X1234567<0 or 1234567890 format.']
# CHStateSelect #############################################################
>>> from django.contrib.localflavor.ch.forms import CHStateSelect
>>> w = CHStateSelect()
>>> w.render('state', 'AG')
u'<select name="state">\n<option value="AG" selected="selected">Aargau</option>\n<option value="AI">Appenzell Innerrhoden</option>\n<option value="AR">Appenzell Ausserrhoden</option>\n<option value="BS">Basel-Stadt</option>\n<option value="BL">Basel-Land</option>\n<option value="BE">Berne</option>\n<option value="FR">Fribourg</option>\n<option value="GE">Geneva</option>\n<option value="GL">Glarus</option>\n<option value="GR">Graubuenden</option>\n<option value="JU">Jura</option>\n<option value="LU">Lucerne</option>\n<option value="NE">Neuchatel</option>\n<option value="NW">Nidwalden</option>\n<option value="OW">Obwalden</option>\n<option value="SH">Schaffhausen</option>\n<option value="SZ">Schwyz</option>\n<option value="SO">Solothurn</option>\n<option value="SG">St. Gallen</option>\n<option value="TG">Thurgau</option>\n<option value="TI">Ticino</option>\n<option value="UR">Uri</option>\n<option value="VS">Valais</option>\n<option value="VD">Vaud</option>\n<option value="ZG">Zug</option>\n<option value="ZH">Zurich</option>\n</select>'
## AUPostCodeField ##########################################################
A field that accepts a four digit Australian post code.
>>> from django.contrib.localflavor.au.forms import AUPostCodeField
>>> f = AUPostCodeField()
>>> f.clean('1234')
u'1234'
>>> f.clean('2000')
u'2000'
>>> f.clean('abcd')
Traceback (most recent call last):
...
ValidationError: [u'Enter a 4 digit post code.']
>>> f.clean('20001')
Traceback (most recent call last):
...
ValidationError: [u'Enter a 4 digit post code.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = AUPostCodeField(required=False)
>>> f.clean('1234')
u'1234'
>>> f.clean('2000')
u'2000'
>>> f.clean('abcd')
Traceback (most recent call last):
...
ValidationError: [u'Enter a 4 digit post code.']
>>> f.clean('20001')
Traceback (most recent call last):
...
ValidationError: [u'Enter a 4 digit post code.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
## AUPhoneNumberField ########################################################
A field that accepts a 10 digit Australian phone number.
llows spaces and parentheses around area code.
>>> from django.contrib.localflavor.au.forms import AUPhoneNumberField
>>> f = AUPhoneNumberField()
>>> f.clean('1234567890')
u'1234567890'
>>> f.clean('0213456789')
u'0213456789'
>>> f.clean('02 13 45 67 89')
u'0213456789'
>>> f.clean('(02) 1345 6789')
u'0213456789'
>>> f.clean('(02) 1345-6789')
u'0213456789'
>>> f.clean('(02)1345-6789')
u'0213456789'
>>> f.clean('0408 123 456')
u'0408123456'
>>> f.clean('123')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must contain 10 digits.']
>>> f.clean('1800DJANGO')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must contain 10 digits.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = AUPhoneNumberField(required=False)
>>> f.clean('1234567890')
u'1234567890'
>>> f.clean('0213456789')
u'0213456789'
>>> f.clean('02 13 45 67 89')
u'0213456789'
>>> f.clean('(02) 1345 6789')
u'0213456789'
>>> f.clean('(02) 1345-6789')
u'0213456789'
>>> f.clean('(02)1345-6789')
u'0213456789'
>>> f.clean('0408 123 456')
u'0408123456'
>>> f.clean('123')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must contain 10 digits.']
>>> f.clean('1800DJANGO')
Traceback (most recent call last):
...
ValidationError: [u'Phone numbers must contain 10 digits.']
>>> f.clean(None)
u''
>>> f.clean('')
u''
## AUStateSelect #############################################################
AUStateSelect is a Select widget that uses a list of Australian
states/territories as its choices.
>>> from django.contrib.localflavor.au.forms import AUStateSelect
>>> f = AUStateSelect()
>>> print f.render('state', 'NSW')
<select name="state">
<option value="ACT">Australian Capital Territory</option>
<option value="NSW" selected="selected">New South Wales</option>
<option value="NT">Northern Territory</option>
<option value="QLD">Queensland</option>
<option value="SA">South Australia</option>
<option value="TAS">Tasmania</option>
<option value="VIC">Victoria</option>
<option value="WA">Western Australia</option>
</select>
## ISIdNumberField #############################################################
>>> from django.contrib.localflavor.is_.forms import *
>>> f = ISIdNumberField()
>>> f.clean('2308803449')
u'230880-3449'
>>> f.clean('230880-3449')
u'230880-3449'
>>> f.clean('230880 3449')
u'230880-3449'
>>> f.clean('230880343')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at least 10 characters.']
>>> f.clean('230880343234')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at most 11 characters.']
>>> f.clean('abcdefghijk')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid Icelandic identification number. The format is XXXXXX-XXXX.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean('2308803439')
Traceback (most recent call last):
...
ValidationError: [u'The Icelandic identification number is not valid.']
>>> f.clean('2308803440')
u'230880-3440'
>>> f = ISIdNumberField(required=False)
>>> f.clean(None)
u''
>>> f.clean('')
u''
## ISPhoneNumberField #############################################################
>>> from django.contrib.localflavor.is_.forms import *
>>> f = ISPhoneNumberField()
>>> f.clean('1234567')
u'1234567'
>>> f.clean('123 4567')
u'1234567'
>>> f.clean('123-4567')
u'1234567'
>>> f.clean('123-456')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid value.']
>>> f.clean('123456')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at least 7 characters.']
>>> f.clean('123456555')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at most 8 characters.']
>>> f.clean('abcdefg')
Traceback (most recent call last):
ValidationError: [u'Enter a valid value.']
>>> f.clean(' 1234567 ')
Traceback (most recent call last):
...
ValidationError: [u'Ensure this value has at most 8 characters.']
>>> f.clean(' 12367 ')
Traceback (most recent call last):
...
ValidationError: [u'Enter a valid value.']
>>> f.clean('')
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f.clean(None)
Traceback (most recent call last):
...
ValidationError: [u'This field is required.']
>>> f = ISPhoneNumberField(required=False)
>>> f.clean(None)
u''
>>> f.clean('')
u''
## ISPostalCodeSelect #############################################################
>>> from django.contrib.localflavor.is_.forms import *
>>> f = ISPostalCodeSelect()
>>> f.render('foo', 'bar')
u'<select name="foo">\n<option value="101">101 Reykjav\xedk</option>\n<option value="103">103 Reykjav\xedk</option>\n<option value="104">104 Reykjav\xedk</option>\n<option value="105">105 Reykjav\xedk</option>\n<option value="107">107 Reykjav\xedk</option>\n<option value="108">108 Reykjav\xedk</option>\n<option value="109">109 Reykjav\xedk</option>\n<option value="110">110 Reykjav\xedk</option>\n<option value="111">111 Reykjav\xedk</option>\n<option value="112">112 Reykjav\xedk</option>\n<option value="113">113 Reykjav\xedk</option>\n<option value="116">116 Kjalarnes</option>\n<option value="121">121 Reykjav\xedk</option>\n<option value="123">123 Reykjav\xedk</option>\n<option value="124">124 Reykjav\xedk</option>\n<option value="125">125 Reykjav\xedk</option>\n<option value="127">127 Reykjav\xedk</option>\n<option value="128">128 Reykjav\xedk</option>\n<option value="129">129 Reykjav\xedk</option>\n<option value="130">130 Reykjav\xedk</option>\n<option value="132">132 Reykjav\xedk</option>\n<option value="150">150 Reykjav\xedk</option>\n<option value="155">155 Reykjav\xedk</option>\n<option value="170">170 Seltjarnarnes</option>\n<option value="172">172 Seltjarnarnes</option>\n<option value="190">190 Vogar</option>\n<option value="200">200 K\xf3pavogur</option>\n<option value="201">201 K\xf3pavogur</option>\n<option value="202">202 K\xf3pavogur</option>\n<option value="203">203 K\xf3pavogur</option>\n<option value="210">210 Gar\xf0ab\xe6r</option>\n<option value="212">212 Gar\xf0ab\xe6r</option>\n<option value="220">220 Hafnarfj\xf6r\xf0ur</option>\n<option value="221">221 Hafnarfj\xf6r\xf0ur</option>\n<option value="222">222 Hafnarfj\xf6r\xf0ur</option>\n<option value="225">225 \xc1lftanes</option>\n<option value="230">230 Reykjanesb\xe6r</option>\n<option value="232">232 Reykjanesb\xe6r</option>\n<option value="233">233 Reykjanesb\xe6r</option>\n<option value="235">235 Keflav\xedkurflugv\xf6llur</option>\n<option value="240">240 Grindav\xedk</option>\n<option value="245">245 Sandger\xf0i</option>\n<option value="250">250 Gar\xf0ur</option>\n<option value="260">260 Reykjanesb\xe6r</option>\n<option value="270">270 Mosfellsb\xe6r</option>\n<option value="300">300 Akranes</option>\n<option value="301">301 Akranes</option>\n<option value="302">302 Akranes</option>\n<option value="310">310 Borgarnes</option>\n<option value="311">311 Borgarnes</option>\n<option value="320">320 Reykholt \xed Borgarfir\xf0i</option>\n<option value="340">340 Stykkish\xf3lmur</option>\n<option value="345">345 Flatey \xe1 Brei\xf0afir\xf0i</option>\n<option value="350">350 Grundarfj\xf6r\xf0ur</option>\n<option value="355">355 \xd3lafsv\xedk</option>\n<option value="356">356 Sn\xe6fellsb\xe6r</option>\n<option value="360">360 Hellissandur</option>\n<option value="370">370 B\xfa\xf0ardalur</option>\n<option value="371">371 B\xfa\xf0ardalur</option>\n<option value="380">380 Reykh\xf3lahreppur</option>\n<option value="400">400 \xcdsafj\xf6r\xf0ur</option>\n<option value="401">401 \xcdsafj\xf6r\xf0ur</option>\n<option value="410">410 Hn\xedfsdalur</option>\n<option value="415">415 Bolungarv\xedk</option>\n<option value="420">420 S\xfa\xf0av\xedk</option>\n<option value="425">425 Flateyri</option>\n<option value="430">430 Su\xf0ureyri</option>\n<option value="450">450 Patreksfj\xf6r\xf0ur</option>\n<option value="451">451 Patreksfj\xf6r\xf0ur</option>\n<option value="460">460 T\xe1lknafj\xf6r\xf0ur</option>\n<option value="465">465 B\xedldudalur</option>\n<option value="470">470 \xdeingeyri</option>\n<option value="471">471 \xdeingeyri</option>\n<option value="500">500 Sta\xf0ur</option>\n<option value="510">510 H\xf3lmav\xedk</option>\n<option value="512">512 H\xf3lmav\xedk</option>\n<option value="520">520 Drangsnes</option>\n<option value="522">522 Kj\xf6rvogur</option>\n<option value="523">523 B\xe6r</option>\n<option value="524">524 Nor\xf0urfj\xf6r\xf0ur</option>\n<option value="530">530 Hvammstangi</option>\n<option value="531">531 Hvammstangi</option>\n<option value="540">540 Bl\xf6ndu\xf3s</option>\n<option value="541">541 Bl\xf6ndu\xf3s</option>\n<option value="545">545 Skagastr\xf6nd</option>\n<option value="550">550 Sau\xf0\xe1rkr\xf3kur</option>\n<option value="551">551 Sau\xf0\xe1rkr\xf3kur</option>\n<option value="560">560 Varmahl\xed\xf0</option>\n<option value="565">565 Hofs\xf3s</option>\n<option value="566">566 Hofs\xf3s</option>\n<option value="570">570 Flj\xf3t</option>\n<option value="580">580 Siglufj\xf6r\xf0ur</option>\n<option value="600">600 Akureyri</option>\n<option value="601">601 Akureyri</option>\n<option value="602">602 Akureyri</option>\n<option value="603">603 Akureyri</option>\n<option value="610">610 Greniv\xedk</option>\n<option value="611">611 Gr\xedmsey</option>\n<option value="620">620 Dalv\xedk</option>\n<option value="621">621 Dalv\xedk</option>\n<option value="625">625 \xd3lafsfj\xf6r\xf0ur</option>\n<option value="630">630 Hr\xedsey</option>\n<option value="640">640 H\xfasav\xedk</option>\n<option value="641">641 H\xfasav\xedk</option>\n<option value="645">645 Fossh\xf3ll</option>\n<option value="650">650 Laugar</option>\n<option value="660">660 M\xfdvatn</option>\n<option value="670">670 K\xf3pasker</option>\n<option value="671">671 K\xf3pasker</option>\n<option value="675">675 Raufarh\xf6fn</option>\n<option value="680">680 \xde\xf3rsh\xf6fn</option>\n<option value="681">681 \xde\xf3rsh\xf6fn</option>\n<option value="685">685 Bakkafj\xf6r\xf0ur</option>\n<option value="690">690 Vopnafj\xf6r\xf0ur</option>\n<option value="700">700 Egilssta\xf0ir</option>\n<option value="701">701 Egilssta\xf0ir</option>\n<option value="710">710 Sey\xf0isfj\xf6r\xf0ur</option>\n<option value="715">715 Mj\xf3ifj\xf6r\xf0ur</option>\n<option value="720">720 Borgarfj\xf6r\xf0ur eystri</option>\n<option value="730">730 Rey\xf0arfj\xf6r\xf0ur</option>\n<option value="735">735 Eskifj\xf6r\xf0ur</option>\n<option value="740">740 Neskaupsta\xf0ur</option>\n<option value="750">750 F\xe1skr\xfa\xf0sfj\xf6r\xf0ur</option>\n<option value="755">755 St\xf6\xf0varfj\xf6r\xf0ur</option>\n<option value="760">760 Brei\xf0dalsv\xedk</option>\n<option value="765">765 Dj\xfapivogur</option>\n<option value="780">780 H\xf6fn \xed Hornafir\xf0i</option>\n<option value="781">781 H\xf6fn \xed Hornafir\xf0i</option>\n<option value="785">785 \xd6r\xe6fi</option>\n<option value="800">800 Selfoss</option>\n<option value="801">801 Selfoss</option>\n<option value="802">802 Selfoss</option>\n<option value="810">810 Hverager\xf0i</option>\n<option value="815">815 \xdeorl\xe1ksh\xf6fn</option>\n<option value="820">820 Eyrarbakki</option>\n<option value="825">825 Stokkseyri</option>\n<option value="840">840 Laugarvatn</option>\n<option value="845">845 Fl\xfa\xf0ir</option>\n<option value="850">850 Hella</option>\n<option value="851">851 Hella</option>\n<option value="860">860 Hvolsv\xf6llur</option>\n<option value="861">861 Hvolsv\xf6llur</option>\n<option value="870">870 V\xedk</option>\n<option value="871">871 V\xedk</option>\n<option value="880">880 Kirkjub\xe6jarklaustur</option>\n<option value="900">900 Vestmannaeyjar</option>\n<option value="902">902 Vestmannaeyjar</option>\n</select>'
## CLRutField #############################################################
CLRutField is a Field that checks the validity of the Chilean
personal identification number (RUT). It has two modes relaxed (default) and
strict.
>>> from django.contrib.localflavor.cl.forms import CLRutField
>>> rut = CLRutField()
>>> rut.clean('11-6')
'11-6'
>>> rut.clean('116')
'11-6'
# valid format, bad verifier.
>>> rut.clean('11.111.111-0')
Traceback (most recent call last):
...
ValidationError: [u'The Chilean RUT is not valid.']
>>> rut.clean('111')
Traceback (most recent call last):
...
ValidationError: [u'The Chilean RUT is not valid.']
>>> rut.clean('767484100')
'76.748.410-0'
>>> rut.clean('78.412.790-7')
'78.412.790-7'
>>> rut.clean('8.334.6043')
'8.334.604-3'
>>> rut.clean('76793310-K')
'76.793.310-K'
Strict RUT usage (does not allow imposible values)
>>> rut = CLRutField(strict=True)
>>> rut.clean('11-6')
Traceback (most recent call last):
...
ValidationError: [u'Enter valid a Chilean RUT. The format is XX.XXX.XXX-X.']
# valid format, bad verifier.
>>> rut.clean('11.111.111-0')
Traceback (most recent call last):
...
ValidationError: [u'The Chilean RUT is not valid.']
# Correct input, invalid format.
>>> rut.clean('767484100')
Traceback (most recent call last):
...
ValidationError: [u'Enter valid a Chilean RUT. The format is XX.XXX.XXX-X.']
>>> rut.clean('78.412.790-7')
'78.412.790-7'
>>> rut.clean('8.334.6043')
Traceback (most recent call last):
...
ValidationError: [u'Enter valid a Chilean RUT. The format is XX.XXX.XXX-X.']
>>> rut.clean('76793310-K')
Traceback (most recent call last):
...
ValidationError: [u'Enter valid a Chilean RUT. The format is XX.XXX.XXX-X.']
"""
| 51.745588
| 18,626
| 0.700159
| 10,053
| 70,374
| 4.900627
| 0.178952
| 0.195145
| 0.158811
| 0.236025
| 0.439898
| 0.369037
| 0.327122
| 0.28273
| 0.274002
| 0.261742
| 0
| 0.070205
| 0.073593
| 70,374
| 1,359
| 18,627
| 51.783664
| 0.685467
| 0.001123
| 0
| 0.605096
| 0
| 0.011147
| 0.999559
| 0.519746
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.001592
| 0.029459
| 0
| 0.029459
| 0.003185
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
edfadbb93fd7c46f5b5595b63ddb7352a389fda4
| 696
|
py
|
Python
|
tests/test_user.py
|
dancan-sandys/pitch_project
|
f039ecebfaab0f7fd67e4c35dabc163f406ea2c8
|
[
"MIT"
] | null | null | null |
tests/test_user.py
|
dancan-sandys/pitch_project
|
f039ecebfaab0f7fd67e4c35dabc163f406ea2c8
|
[
"MIT"
] | null | null | null |
tests/test_user.py
|
dancan-sandys/pitch_project
|
f039ecebfaab0f7fd67e4c35dabc163f406ea2c8
|
[
"MIT"
] | null | null | null |
import unittest
from app.models import User
from app import db
class TestUser(unittest.TestCase):
def setUp(self):
self.new_user = User(user_id = 1000,user_name = 'Sandy', user_email = 'sandys@gmail', user_password = 'Stanford1*')
def tearDown(self):
User.query.delete()
def test_instance(self):
self.assertTrue(isinstance(self.new_user, User))
def test_check_instance_variables(self):
self.assertEquals(self.new_user.user_id,1000)
self.assertEquals(self.new_user.user_name,'Sandy')
self.assertEquals(self.new_user.user_email,"sandys@gmail")
self.assertEquals(self.new_user.user_password,'Stanford1*')
| 30.26087
| 123
| 0.693966
| 91
| 696
| 5.10989
| 0.362637
| 0.12043
| 0.141935
| 0.193548
| 0.266667
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0.017794
| 0.192529
| 696
| 22
| 124
| 31.636364
| 0.809609
| 0
| 0
| 0
| 0
| 0
| 0.077586
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.266667
| false
| 0.133333
| 0.2
| 0
| 0.533333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
610f06cbb5095f1227e88b622c1c111cb1a45797
| 123
|
py
|
Python
|
wiki/plugins/links/settings.py
|
Si-elegans/Web-based_GUI_Tools
|
58a9b7a76bc46467554192a38ff5329a94e2b627
|
[
"Apache-2.0"
] | 3
|
2017-12-01T08:17:38.000Z
|
2021-01-29T15:40:06.000Z
|
wiki/plugins/links/settings.py
|
Si-elegans/Web-based_GUI_Tools
|
58a9b7a76bc46467554192a38ff5329a94e2b627
|
[
"Apache-2.0"
] | 9
|
2020-06-05T17:44:02.000Z
|
2022-01-13T00:42:34.000Z
|
wiki/plugins/links/settings.py
|
Si-elegans/Web-based_GUI_Tools
|
58a9b7a76bc46467554192a38ff5329a94e2b627
|
[
"Apache-2.0"
] | 1
|
2020-11-08T21:47:32.000Z
|
2020-11-08T21:47:32.000Z
|
from django.conf import settings as django_settings
LOOKUP_LEVEL = getattr(django_settings, 'WIKI_LINKS_LOOKUP_LEVEL', 2)
| 30.75
| 69
| 0.837398
| 18
| 123
| 5.388889
| 0.666667
| 0.28866
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009009
| 0.097561
| 123
| 3
| 70
| 41
| 0.864865
| 0
| 0
| 0
| 0
| 0
| 0.186992
| 0.186992
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
612907f6ed75a8c7bcaa6a1e62bc0d8250cc1e7e
| 4,404
|
py
|
Python
|
sqlalchemy_collectd/tests/test_stream.py
|
sqlalchemy/sqlalchemy-collectd
|
f074fb09b9368213f9c1371a64c5aef4a1e73242
|
[
"MIT"
] | 24
|
2018-02-12T04:53:20.000Z
|
2022-02-12T22:05:54.000Z
|
sqlalchemy_collectd/tests/test_stream.py
|
sqlalchemy/sqlalchemy-collectd
|
f074fb09b9368213f9c1371a64c5aef4a1e73242
|
[
"MIT"
] | 11
|
2018-02-15T08:22:42.000Z
|
2022-01-06T15:54:42.000Z
|
sqlalchemy_collectd/tests/test_stream.py
|
sqlalchemy/sqlalchemy-collectd
|
f074fb09b9368213f9c1371a64c5aef4a1e73242
|
[
"MIT"
] | 9
|
2018-02-14T08:55:47.000Z
|
2021-12-02T07:33:29.000Z
|
from .. import protocol
from .. import stream
from .. import testing
class BreakIntoValuesTest(testing.TestBase):
def _internal_stream_one_element(self, type_instance="sometypeinstance"):
value = protocol.Values(
type="my_type_one_element",
host="somehost",
plugin="someplugin",
plugin_instance="someplugininstance",
type_instance=type_instance,
)
data = [
value.build(time=50, values=[5]),
value.build(time=55, values=[25]),
value.build(time=60, values=[11]),
]
return data
def _external_stream_one_element(self):
value = protocol.Values(
type="my_type_one_element",
host="somehost",
plugin="someplugin",
plugin_instance="someplugininstance",
type_instance="sometypeinstance",
)
return [
value.build(
time=50, type="count", type_instance="some_val", values=[5]
),
value.build(
time=55, type="count", type_instance="some_val", values=[25]
),
value.build(
time=60, type="count", type_instance="some_val", values=[11]
),
]
def _internal_stream(self, type_instance="sometypeinstance"):
value = protocol.Values(
type="my_type",
host="somehost",
plugin="someplugin",
plugin_instance="someplugininstance",
type_instance=type_instance,
)
data = [
value.build(time=50, values=[5, 10, 15]),
value.build(time=55, values=[25, 8, 9]),
value.build(time=60, values=[11, 7, 12]),
]
return data
def _external_stream(self):
value = protocol.Values(
type="my_type",
host="somehost",
plugin="someplugin",
plugin_instance="someplugininstance",
type_instance="sometypeinstance",
)
return [
value.build(
time=50, type="count", type_instance="some_val", values=[5]
),
value.build(
time=50,
type="derive",
type_instance="some_other_val",
values=[10],
),
value.build(
time=50,
type="derive",
type_instance="some_third_val",
values=[15],
),
value.build(
time=55, type="count", type_instance="some_val", values=[25]
),
value.build(
time=55,
type="derive",
type_instance="some_other_val",
values=[8],
),
value.build(
time=55,
type="derive",
type_instance="some_third_val",
values=[9],
),
value.build(
time=60, type="count", type_instance="some_val", values=[11]
),
value.build(
time=60,
type="derive",
type_instance="some_other_val",
values=[7],
),
value.build(
time=60,
type="derive",
type_instance="some_third_val",
values=[12],
),
]
def test_break_into_values(self):
type_ = protocol.Type(
"my_type",
("some_val", protocol.VALUE_GAUGE),
("some_other_val", protocol.VALUE_DERIVE),
("some_third_val", protocol.VALUE_DERIVE),
)
data = self._internal_stream()
translator = stream.StreamTranslator(type_)
l = []
for v in data:
l.extend(translator.break_into_individual_values(v))
self.assertEqual(l, self._external_stream())
def test_break_into_values_one_element(self):
type_ = protocol.Type(
"my_type_one_element", ("some_val", protocol.VALUE_GAUGE)
)
data = self._internal_stream_one_element()
translator = stream.StreamTranslator(type_)
l = []
for v in data:
l.extend(translator.break_into_individual_values(v))
self.assertEqual(l, self._external_stream_one_element())
| 29.959184
| 77
| 0.504541
| 415
| 4,404
| 5.098795
| 0.144578
| 0.113422
| 0.119093
| 0.045369
| 0.862004
| 0.784499
| 0.714556
| 0.710775
| 0.671078
| 0.565217
| 0
| 0.027196
| 0.382153
| 4,404
| 146
| 78
| 30.164384
| 0.750459
| 0
| 0
| 0.682171
| 0
| 0
| 0.119891
| 0
| 0
| 0
| 0
| 0
| 0.015504
| 1
| 0.046512
| false
| 0
| 0.023256
| 0
| 0.108527
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
612e070291c4d2126791f8eddc1af4b47c76395b
| 8,064
|
py
|
Python
|
tests/worker/test_initializers.py
|
adir-intsights/sergeant
|
76229b045309a3d795ac760d9f08da04b5e0a750
|
[
"MIT"
] | 152
|
2020-04-05T08:45:37.000Z
|
2022-02-24T06:10:06.000Z
|
tests/worker/test_initializers.py
|
adir-intsights/sergeant
|
76229b045309a3d795ac760d9f08da04b5e0a750
|
[
"MIT"
] | 29
|
2020-05-26T10:13:20.000Z
|
2022-03-31T10:52:39.000Z
|
tests/worker/test_initializers.py
|
adir-intsights/sergeant
|
76229b045309a3d795ac760d9f08da04b5e0a750
|
[
"MIT"
] | 10
|
2020-06-03T12:30:26.000Z
|
2022-02-24T06:10:08.000Z
|
import unittest
import unittest.mock
import sergeant.worker
class WorkerInitializersTestCase(
unittest.TestCase,
):
def test_init_logger(
self,
):
worker = sergeant.worker.Worker()
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='',
params={},
),
)
worker.init_logger()
self.assertIsNotNone(
obj=worker.logger,
)
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='',
params={},
),
logging=sergeant.config.Logging(
handlers=[
sergeant.logging.logstash.LogstashHandler(
host='localhost',
port=9999,
),
],
),
)
worker.init_logger()
self.assertIsNotNone(
obj=worker.logger,
)
self.assertEqual(
first=len(worker.logger.handlers),
second=1,
)
self.assertIsInstance(
obj=worker.logger.handlers[0],
cls=sergeant.logging.logstash.LogstashHandler,
)
def test_init_broker(
self,
):
worker = sergeant.worker.Worker()
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='redis',
params={
'nodes': [
{
'host': 'localhost',
'port': 6379,
'password': None,
'database': 0,
},
],
},
),
)
worker.init_broker()
self.assertIsInstance(
obj=worker.broker,
cls=sergeant.broker.Broker,
)
self.assertIsInstance(
obj=worker.broker.connector,
cls=sergeant.connector.redis.Connector,
)
self.assertIsNone(
obj=worker.broker.encoder.compressor,
)
self.assertIsInstance(
obj=worker.broker.encoder.serializer,
cls=sergeant.encoder.serializer.pickle.Serializer,
)
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='redis',
params={
'nodes': [
{
'host': 'localhost',
'port': 6379,
'password': None,
'database': 0,
},
{
'host': 'localhost',
'port': 6380,
'password': None,
'database': 0,
},
],
},
),
)
worker.init_broker()
self.assertIsInstance(
obj=worker.broker,
cls=sergeant.broker.Broker,
)
self.assertIsInstance(
obj=worker.broker.connector,
cls=sergeant.connector.redis.Connector,
)
self.assertIsNone(
obj=worker.broker.encoder.compressor,
)
self.assertIsInstance(
obj=worker.broker.encoder.serializer,
cls=sergeant.encoder.serializer.pickle.Serializer,
)
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='mongo',
params={
'nodes': [
{
'host': 'localhost',
'port': 27017,
'replica_set': 'test_replica_set',
},
],
},
),
)
worker.init_broker()
self.assertIsInstance(
obj=worker.broker,
cls=sergeant.broker.Broker,
)
self.assertIsInstance(
obj=worker.broker.connector,
cls=sergeant.connector.mongo.Connector,
)
self.assertIsNone(
obj=worker.broker.encoder.compressor,
)
self.assertIsInstance(
obj=worker.broker.encoder.serializer,
cls=sergeant.encoder.serializer.pickle.Serializer,
)
compressor_names = list(sergeant.encoder.encoder.Encoder.compressors.keys())
compressor_names.append(None)
serializer_names = sergeant.encoder.encoder.Encoder.serializers.keys()
for compressor_name in compressor_names:
for serializer_name in serializer_names:
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='redis',
params={
'nodes': [
{
'host': 'localhost',
'port': 6379,
'password': None,
'database': 0,
},
],
},
),
encoder=sergeant.config.Encoder(
compressor=compressor_name,
serializer=serializer_name,
),
)
worker.init_broker()
self.assertIsInstance(
obj=worker.broker,
cls=sergeant.broker.Broker,
)
self.assertIsInstance(
obj=worker.broker.connector,
cls=sergeant.connector.redis.Connector,
)
if compressor_name:
self.assertEqual(
first=worker.broker.encoder.compressor.name,
second=compressor_name,
)
else:
self.assertIsNone(
obj=worker.broker.encoder.compressor,
)
self.assertEqual(
first=worker.broker.encoder.serializer.name,
second=serializer_name,
)
def test_init_executor(
self,
):
worker = sergeant.worker.Worker()
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='',
params={},
),
)
worker.init_executor()
self.assertIsInstance(
obj=worker.executor_obj,
cls=sergeant.executor.serial.SerialExecutor,
)
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='',
params={},
),
number_of_threads=1,
)
worker.init_executor()
self.assertIsInstance(
obj=worker.executor_obj,
cls=sergeant.executor.serial.SerialExecutor,
)
worker.config = sergeant.config.WorkerConfig(
name='some_worker',
connector=sergeant.config.Connector(
type='',
params={},
),
number_of_threads=2,
)
worker.init_executor()
self.assertIsInstance(
obj=worker.executor_obj,
cls=sergeant.executor.threaded.ThreadedExecutor,
)
| 31.623529
| 84
| 0.445188
| 542
| 8,064
| 6.538745
| 0.136531
| 0.05333
| 0.097348
| 0.122743
| 0.761005
| 0.753104
| 0.732223
| 0.732223
| 0.692156
| 0.692156
| 0
| 0.007658
| 0.46565
| 8,064
| 254
| 85
| 31.748032
| 0.814806
| 0
| 0
| 0.644628
| 0
| 0
| 0.040179
| 0
| 0
| 0
| 0
| 0
| 0.099174
| 1
| 0.012397
| false
| 0.016529
| 0.012397
| 0
| 0.028926
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b61ab764ba4dfa685fe42932509840475b196ecc
| 223
|
py
|
Python
|
measureguides/views.py
|
ProjectFFF/FFF
|
a563e2bb5aafe18d3fa3143d83b6558921eac8ee
|
[
"BSD-2-Clause"
] | 6
|
2020-09-02T18:48:28.000Z
|
2022-02-06T11:13:06.000Z
|
measureguides/views.py
|
ProjectFFF/FFF
|
a563e2bb5aafe18d3fa3143d83b6558921eac8ee
|
[
"BSD-2-Clause"
] | 23
|
2020-09-04T08:57:28.000Z
|
2020-10-25T07:03:47.000Z
|
measureguides/views.py
|
ProjectFFF/FFF
|
a563e2bb5aafe18d3fa3143d83b6558921eac8ee
|
[
"BSD-2-Clause"
] | null | null | null |
from django.shortcuts import render, redirect, get_object_or_404
from .models import Guide
def measureguides(request):
guides = Guide.objects.all()
return render(request, 'measureguides.html', {'guides' : guides})
| 31.857143
| 69
| 0.757848
| 28
| 223
| 5.928571
| 0.714286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015544
| 0.134529
| 223
| 6
| 70
| 37.166667
| 0.84456
| 0
| 0
| 0
| 0
| 0
| 0.107623
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
b6258d2aa6792117c1236d0c147ad75555ad383f
| 62
|
py
|
Python
|
iridauploader/parsers/nextseq2k_nml/__init__.py
|
COMBAT-SARS-COV-2/irida-uploader
|
b9d04d187d6a5a9fdcaef5b27135965ffac99db0
|
[
"Apache-2.0"
] | 7
|
2019-01-25T16:56:11.000Z
|
2021-01-12T15:32:08.000Z
|
iridauploader/parsers/nextseq2k_nml/__init__.py
|
COMBAT-SARS-COV-2/irida-uploader
|
b9d04d187d6a5a9fdcaef5b27135965ffac99db0
|
[
"Apache-2.0"
] | 80
|
2019-01-29T14:54:26.000Z
|
2022-03-25T18:51:51.000Z
|
iridauploader/parsers/nextseq2k_nml/__init__.py
|
COMBAT-SARS-COV-2/irida-uploader
|
b9d04d187d6a5a9fdcaef5b27135965ffac99db0
|
[
"Apache-2.0"
] | 9
|
2019-03-14T09:58:05.000Z
|
2022-01-06T20:14:45.000Z
|
from iridauploader.parsers.nextseq2k_nml.parser import Parser
| 31
| 61
| 0.887097
| 8
| 62
| 6.75
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017241
| 0.064516
| 62
| 1
| 62
| 62
| 0.913793
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
b671e0af9b64f25d319b65975fc85f095c6ed9bc
| 2,133
|
py
|
Python
|
halotools/utils/tests/test_2d_rotations.py
|
aphearin/halotools
|
10a23ab83638d8f6f98c30862455fe152d8f322b
|
[
"BSD-3-Clause"
] | null | null | null |
halotools/utils/tests/test_2d_rotations.py
|
aphearin/halotools
|
10a23ab83638d8f6f98c30862455fe152d8f322b
|
[
"BSD-3-Clause"
] | 27
|
2015-01-14T18:21:50.000Z
|
2018-07-10T05:44:21.000Z
|
halotools/utils/tests/test_2d_rotations.py
|
aphearin/halotools
|
10a23ab83638d8f6f98c30862455fe152d8f322b
|
[
"BSD-3-Clause"
] | 2
|
2015-09-30T01:06:58.000Z
|
2018-04-29T11:40:08.000Z
|
"""
"""
import numpy as np
from ..vector_utilities import rotate_vector_collection
from ..rotations2d import rotation_matrices_from_vectors
from ..rotations2d import rotation_matrices_from_angles
from ..rotations2d import rotation_matrices_from_basis
__all__ = (
"test_rotation_matrices_from_vectors_1",
"test_rotation_matrices_from_vectors_2",
"test_rotation_matrices_from_angles",
"test_rotation_matrices_from_basis_1",
"test_rotation_matrices_from_basis_2",
)
fixed_seed = 43
def test_rotation_matrices_from_vectors_1():
"""
test to make sure null rotations return identiy matrix
"""
N = 1000
v1 = np.random.random((N, 2))
rot_m = rotation_matrices_from_vectors(v1, v1)
assert np.all(~np.isnan(rot_m))
def test_rotation_matrices_from_vectors_2():
"""
validate 90 degree rotation result
"""
N = 1000
v1 = np.zeros((N, 2))
v1[:, 0] = 1
v2 = np.zeros((N, 2))
v2[:, 1] = 1
rot_m = rotation_matrices_from_vectors(v1, v2)
v3 = rotate_vector_collection(rot_m, v1)
assert np.allclose(v2, v3)
def test_rotation_matrices_from_angles():
"""
test to make sure null rotations return identiy matrix
"""
npts = 1000
ndim = 2
rot_m = rotation_matrices_from_angles(np.zeros(npts))
assert np.all(~np.isnan(rot_m))
def test_rotation_matrices_from_basis_1():
"""
test to make sure null rotations return identiy matrix
"""
npts = 1000
ndim = 2
ux = np.zeros((npts, ndim))
ux[:, 0] = 1.0
uy = np.zeros((npts, ndim))
uy[:, 1] = 1.0
rot_m = rotation_matrices_from_basis(ux, uy)
assert np.all(~np.isnan(rot_m))
def test_rotation_matrices_from_basis_2():
"""
validate 90 degree rotation result
"""
npts = 1000
ndim = 2
ux = np.zeros((npts, ndim))
ux[:, 1] = 1.0 # carteisian +y-axis
uy = np.zeros((npts, ndim))
uy[:, 0] = -1.0 # carteisian -x-axis
rot_m = rotation_matrices_from_basis(ux, uy)
# rotate (0,1) by 45 degrees counter-clockwise.
v = rotate_vector_collection(rot_m, ux)
assert np.allclose(v, uy)
| 21.118812
| 58
| 0.667135
| 310
| 2,133
| 4.287097
| 0.2
| 0.216704
| 0.27088
| 0.180587
| 0.778029
| 0.736644
| 0.456734
| 0.331076
| 0.281415
| 0.281415
| 0
| 0.045646
| 0.219409
| 2,133
| 100
| 59
| 21.33
| 0.752553
| 0.149555
| 0
| 0.333333
| 0
| 0
| 0.10295
| 0.10295
| 0
| 0
| 0
| 0
| 0.098039
| 1
| 0.098039
| false
| 0
| 0.098039
| 0
| 0.196078
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
b68e6c8bbf72b3df6f2187a589c4d31674f23aa6
| 333
|
py
|
Python
|
laa_court_data_api_app/models/hearing/external/prosecution_case_identifier.py
|
ministryofjustice/laa-court-data-api
|
2e79faac7469f0b31ecca0539906d281db08f86c
|
[
"MIT"
] | 1
|
2022-01-27T14:28:40.000Z
|
2022-01-27T14:28:40.000Z
|
laa_court_data_api_app/models/hearing/external/prosecution_case_identifier.py
|
ministryofjustice/laa-court-data-api
|
2e79faac7469f0b31ecca0539906d281db08f86c
|
[
"MIT"
] | 16
|
2022-01-28T11:01:27.000Z
|
2022-03-30T14:01:11.000Z
|
laa_court_data_api_app/models/hearing/external/prosecution_case_identifier.py
|
ministryofjustice/laa-court-data-api
|
2e79faac7469f0b31ecca0539906d281db08f86c
|
[
"MIT"
] | null | null | null |
from pydantic import BaseModel
from laa_court_data_api_app.models.hearing.external.contact import Contact
class ProsecutionCaseIdentifier(BaseModel):
case_urn: str | None
prosecution_authority_id: str | None
prosecution_authority_code: str | None
prosecution_authority_name: str | None
contact: Contact | None
| 27.75
| 74
| 0.78979
| 41
| 333
| 6.146341
| 0.585366
| 0.111111
| 0.214286
| 0.321429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.159159
| 333
| 11
| 75
| 30.272727
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.25
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b6b0388be019b16211725c4fe7be56175932f82c
| 170
|
py
|
Python
|
python/aghast/aghast_generated/DimensionOrder.py
|
HDembinski/aghast
|
f3d45a6960033f48fb8f6b7e906cb36b9d9d8e95
|
[
"BSD-3-Clause"
] | 18
|
2019-04-15T14:39:35.000Z
|
2021-12-21T15:01:02.000Z
|
python/aghast/aghast_generated/DimensionOrder.py
|
HDembinski/aghast
|
f3d45a6960033f48fb8f6b7e906cb36b9d9d8e95
|
[
"BSD-3-Clause"
] | 27
|
2019-04-12T20:24:00.000Z
|
2021-12-03T08:51:56.000Z
|
python/aghast/aghast_generated/DimensionOrder.py
|
diana-hep/stagg
|
ed97e9abc870e729d300622253aa7e9c870f77ec
|
[
"BSD-3-Clause"
] | 11
|
2019-04-15T14:41:00.000Z
|
2021-11-16T13:28:10.000Z
|
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: aghast_generated
class DimensionOrder(object):
c_order = 0
fortran_order = 1
| 18.888889
| 68
| 0.758824
| 21
| 170
| 6
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014493
| 0.188235
| 170
| 8
| 69
| 21.25
| 0.898551
| 0.552941
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
fcb2d2132edf3f1cc4657af045aa6f9827f1c834
| 69
|
py
|
Python
|
tests/testapp/__init__.py
|
cursive-works/wagtailmedia
|
28383a8445d891059a5e709ce747a9a48b30c277
|
[
"BSD-3-Clause"
] | 176
|
2016-05-05T03:02:12.000Z
|
2022-03-23T08:08:43.000Z
|
tests/testapp/__init__.py
|
cursive-works/wagtailmedia
|
28383a8445d891059a5e709ce747a9a48b30c277
|
[
"BSD-3-Clause"
] | 113
|
2016-10-17T15:59:58.000Z
|
2022-03-21T14:45:15.000Z
|
tests/testapp/__init__.py
|
cursive-works/wagtailmedia
|
28383a8445d891059a5e709ce747a9a48b30c277
|
[
"BSD-3-Clause"
] | 69
|
2016-06-17T17:10:33.000Z
|
2022-03-08T18:20:46.000Z
|
default_app_config = "tests.testapp.apps.WagtailmediaTestsAppConfig"
| 34.5
| 68
| 0.869565
| 7
| 69
| 8.285714
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 69
| 1
| 69
| 69
| 0.878788
| 0
| 0
| 0
| 0
| 0
| 0.652174
| 0.652174
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fcb44190cc6af9472a1bc106339100f69fc991b6
| 50
|
py
|
Python
|
enthought/traits/ui/editors_gen.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 3
|
2016-12-09T06:05:18.000Z
|
2018-03-01T13:00:29.000Z
|
enthought/traits/ui/editors_gen.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | 1
|
2020-12-02T00:51:32.000Z
|
2020-12-02T08:48:55.000Z
|
enthought/traits/ui/editors_gen.py
|
enthought/etsproxy
|
4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347
|
[
"BSD-3-Clause"
] | null | null | null |
# proxy module
from traitsui.editors_gen import *
| 16.666667
| 34
| 0.8
| 7
| 50
| 5.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.14
| 50
| 2
| 35
| 25
| 0.906977
| 0.24
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fcdc54144363ee3456638f31a6a42e7c96edfc8d
| 131
|
py
|
Python
|
bentoml/yatai/proto/__init__.py
|
iancoffey/BentoML
|
13cbd0ab7ab8d3b51da251264cc3ae0aab8f2d72
|
[
"Apache-2.0"
] | null | null | null |
bentoml/yatai/proto/__init__.py
|
iancoffey/BentoML
|
13cbd0ab7ab8d3b51da251264cc3ae0aab8f2d72
|
[
"Apache-2.0"
] | null | null | null |
bentoml/yatai/proto/__init__.py
|
iancoffey/BentoML
|
13cbd0ab7ab8d3b51da251264cc3ae0aab8f2d72
|
[
"Apache-2.0"
] | null | null | null |
__all__ = [
"deployment_pb2",
"repository_pb2",
"status_pb2",
"yatai_service_pb2_grpc",
"yatai_service_pb2",
]
| 16.375
| 29
| 0.641221
| 14
| 131
| 5.142857
| 0.571429
| 0.333333
| 0.416667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04902
| 0.221374
| 131
| 7
| 30
| 18.714286
| 0.656863
| 0
| 0
| 0
| 0
| 0
| 0.587786
| 0.167939
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
|
0
| 4
|
fcdd09efb1c29a6edff311d05ac72d6384cec170
| 87
|
py
|
Python
|
fastform/create/apps.py
|
csc5nz/FastForms
|
b208734b94b908fce38ca342442a3e15014f8c23
|
[
"MIT"
] | 1
|
2021-07-23T19:04:24.000Z
|
2021-07-23T19:04:24.000Z
|
fastform/create/apps.py
|
csc5nz/FastForms
|
b208734b94b908fce38ca342442a3e15014f8c23
|
[
"MIT"
] | 26
|
2020-01-14T04:32:38.000Z
|
2022-03-12T00:54:18.000Z
|
fastform/create/apps.py
|
csc5nz/FastForms
|
b208734b94b908fce38ca342442a3e15014f8c23
|
[
"MIT"
] | 1
|
2021-12-17T19:26:57.000Z
|
2021-12-17T19:26:57.000Z
|
from django.apps import AppConfig
class CreateConfig(AppConfig):
name = 'create'
| 14.5
| 33
| 0.747126
| 10
| 87
| 6.5
| 0.9
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0
| 4
|
1e32f2b539607ed4604b56214e031709a782a288
| 132
|
py
|
Python
|
tests/__init__.py
|
omershelef/lynx
|
4b0815438eb29f8be6d658ce8261aac38ec8c693
|
[
"MIT"
] | 1
|
2020-09-17T07:12:54.000Z
|
2020-09-17T07:12:54.000Z
|
tests/__init__.py
|
omershelef/lynx
|
4b0815438eb29f8be6d658ce8261aac38ec8c693
|
[
"MIT"
] | null | null | null |
tests/__init__.py
|
omershelef/lynx
|
4b0815438eb29f8be6d658ce8261aac38ec8c693
|
[
"MIT"
] | null | null | null |
import pytest
import sys
def run_tests():
errno = pytest.main("tests/test_decode.py tests/test_encode.py")
sys.exit(errno)
| 18.857143
| 68
| 0.727273
| 21
| 132
| 4.428571
| 0.619048
| 0.193548
| 0
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| 0.151515
| 132
| 6
| 69
| 22
| 0.830357
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1ecdaf2672c02ac2080c16aef234ca5f4ba38703
| 241
|
py
|
Python
|
django_directed_edge/app_settings.py
|
lamby/django-directed-edge
|
c78db4dc46186d2382541a247f5548e0d6e5514f
|
[
"BSD-3-Clause"
] | null | null | null |
django_directed_edge/app_settings.py
|
lamby/django-directed-edge
|
c78db4dc46186d2382541a247f5548e0d6e5514f
|
[
"BSD-3-Clause"
] | null | null | null |
django_directed_edge/app_settings.py
|
lamby/django-directed-edge
|
c78db4dc46186d2382541a247f5548e0d6e5514f
|
[
"BSD-3-Clause"
] | null | null | null |
from django.conf import settings
def setting(suffix, default):
return getattr(settings, 'DIRECTED_EDGE_%s' % suffix, default)
ENABLED = setting('ENABLED', True)
USERNAME = setting('USERNAME', None)
PASSWORD = setting('PASSWORD', None)
| 26.777778
| 66
| 0.742739
| 29
| 241
| 6.103448
| 0.655172
| 0.146893
| 0
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| 0
| 0.128631
| 241
| 8
| 67
| 30.125
| 0.842857
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| 0
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| 0
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| 1
| 0.166667
| false
| 0.166667
| 0.166667
| 0.166667
| 0.5
| 0
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| 0
| null | 0
| 0
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| null | 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
|
0
| 4
|
94a05e670004e17d2142e5d64107d694479f4577
| 470,763
|
py
|
Python
|
tests/st/ops/ascend/perf_benchmark/test_bert_all_001.py
|
KnowingNothing/akg-test
|
114d8626b824b9a31af50a482afc07ab7121862b
|
[
"Apache-2.0"
] | null | null | null |
tests/st/ops/ascend/perf_benchmark/test_bert_all_001.py
|
KnowingNothing/akg-test
|
114d8626b824b9a31af50a482afc07ab7121862b
|
[
"Apache-2.0"
] | null | null | null |
tests/st/ops/ascend/perf_benchmark/test_bert_all_001.py
|
KnowingNothing/akg-test
|
114d8626b824b9a31af50a482afc07ab7121862b
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
################################################
Testcase_PrepareCondition:
Testcase_TestSteps:
Testcase_ExpectedResult:
"""
import os
import sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
from base_all_run import BaseCaseRun
class TestBert001(BaseCaseRun):
def setup(self):
"""
testcase preparcondition
:return:
"""
case_name = "test_bert_all_001"
case_path = os.getcwd()
# params init
self.params_init(case_name, case_path)
if not super(TestBert001, self).setup():
return False
self.test_args = [
# TILE OP
# float - int32:[64, 128, 1] - [3] = float:[64, 128, 1024]
("tile_001", "tile_run", ((64, 128, 1), "float32", (1, 1, 1024))),
# float - int32:[1280, 1] - [2] = float:[1280, 1024]
("tile_002", "tile_run", ((1280, 1), "float32", (1, 1024))),
# float - int32:[8192, 1] - [2] = float:[8192, 1024]
("tile_003", "tile_run", ((8192, 1), "float32", (1, 1024))),
# float - int32:[1280, 1] - [2] = float:[1280, 30522]
("tile_004", "tile_run", ((1280, 1), "float32", (1, 30522))),
# float - int32:[1] - [1] = float:[1280]
("tile_005", "tile_run", ((1,), "float32", (1280,))),
# float - int32:[1280, 1] - [2] = float:[1280, 21128]
("tile_006", "tile_run", ((1280, 1), "float32", (1, 21128))),
# float - int32:[1280, 1] - [2] = float:[1280, 768]
("tile_007", "tile_run", ((1280, 1), "float32", (1, 768))),
# float - int32:[64, 128, 1] - [3] = float:[64, 128, 768]
("tile_008", "tile_run", ((64, 128, 1), "float32", (1, 1, 768))),
# float - int32:[8192, 1] - [2] = float:[8192, 768]
("tile_009", "tile_run", ((8192, 1), "float32", (1, 768))),
# int32 - int32:[128] - [1] = int32:[16384]
("tile_010", "tile_run", ((128,), "int32", (128,))),
# float - int32:[1] - [1] = float:[20]
("tile_011", "tile_run", ((1,), "float32", (20,))),
# float - int32:[20, 1] - [2] = float:[20, 2]
("tile_012", "tile_run", ((20, 1), "float32", (1, 2))),
# float - int32:[20, 1] - [2] = float:[20, 32000]
("tile_013", "tile_run", ((20, 1), "float32", (1, 32000))),
# transpose op transpose
# float - int32:[64, 16, 128, 64] - [4] = float:[64, 128, 16, 64]
("transpose_001", "transpose_run", ((64, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float - int32:[8, 16, 128, 64] - [4] = float:[8, 128, 16, 64]
("transpose_002", "transpose_run", ((8, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float - int32:[8, 128, 16, 64] - [4] = float:[8, 16, 128, 64]
("transpose_003", "transpose_run", ((8, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float - int32:[64, 128, 16, 64] - [4] = float:[64, 16, 128, 64]
("transpose_004", "transpose_run", ((64, 128, 16, 64), (0, 2, 1, 3), "float32")),
# half - int32:[64, 12, 128, 64] - [4] = half:[64, 128, 12, 64]
("transpose_005", "transpose_run", ((64, 12, 128, 64), (0, 2, 1, 3), "float16")),
# half - int32:[64, 12, 128, 128] - [4] = half:[128, 64, 12, 128]
("transpose_006", "transpose_run", ((64, 12, 128, 128), (2, 0, 1, 3), "float16")),
# half - int32:[128, 64, 12, 64] - [4] = half:[64, 12, 128, 64]
("transpose_007", "transpose_run", ((128, 64, 12, 64), (1, 2, 0, 3), "float16")),
# half - int32:[128, 64, 12, 128] - [4] = half:[64, 12, 128, 128]
("transpose_008", "transpose_run", ((128, 64, 12, 128), (1, 2, 0, 3), "float16")),
# half - int32:[64, 128, 12, 64] - [4] = half:[64, 12, 128, 64]
("transpose_009", "transpose_run", ((64, 128, 12, 64), (0, 2, 1, 3), "float16")),
# half - int32:[64, 12, 128, 64] - [4] = half:[128, 64, 12, 64]
("transpose_010", "transpose_run", ((64, 12, 128, 64), (2, 0, 1, 3), "float16")),
# float - int32:[1, 128, 12, 64] - [4] = float:[1, 12, 128, 64]
("transpose_011", "transpose_run", ((1, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float - int32:[1, 12, 128, 64] - [4] = float:[1, 128, 12, 64]
("transpose_012", "transpose_run", ((1, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float - int32:[20, 768] - [2] = float:[20, 768]
("transpose_013", "transpose_run", ((20, 768), (0, 1), "float32")),
# float - int32:[128, 768] - [2] = float:[128, 768]
("transpose_014", "transpose_run", ((128, 768), (0, 1), "float32")),
# float - int32:[16, 768] - [2] = float:[16, 768]
("transpose_015", "transpose_run", ((16, 768), (0, 1), "float32")),
# float - int32:[32000, 768] - [2] = float:[32000, 768]
("transpose_016", "transpose_run", ((32000, 768), (0, 1), "float32")),
# UnsortedSegmentSum OP
# float - int32 - int32:[38714, 1024] - [38714] - [] = float:[30522, 1024]
("unsortedsegmentsum_001", "unsortedsegmentsum_run", ([38714, 1024], [38714], 30522, "float32")),
# float - int32 - int32:[1280, 1024] - [1280] - [] = float:[8192, 1024]
("unsortedsegmentsum_002", "unsortedsegmentsum_run", ([1280, 1024], [1280], 8192, "float32")),
# float - int32 - int32:[1280, 768] - [1280] - [] = float:[8192, 768]
("unsortedsegmentsum_003", "unsortedsegmentsum_run", ([1280, 768], [1280], 8192, "float32")),
# float - int32 - int32:[20, 768] - [20] - [128] = float:[128, 768]
("unsortedsegmentsum_004", "unsortedsegmentsum_run", ([20, 768], [20], 128, "float32")),
# float - int32 - int32:[128, 768] - [128] - [16] = float:[16, 768]
("unsortedsegmentsum_005", "unsortedsegmentsum_run", ([128, 768], [128], 16, "float32")),
# float - int32 - int32:[128, 768] - [128] - [32000] = float:[32000, 768]
("unsortedsegmentsum_006", "unsortedsegmentsum_run", ([128, 768], [128], 32000, "float32")),
# gelu OP ###
# float16:[64 * 128, 4096] = float16:[64 * 128, 4096]
("gelu_001_input_8192_4096", "gelu_run", ((64 * 128, 4096), "float32")),
# float16:[64 * 20, 1024] = float:[64 * 20, 1024]
("gelu_002_input_1280_1024", "gelu_run", ((1280, 1024), "float32")),
# float32:[128, 3072] = float:[128, 3072]
("gelu_003_input_128_3072", "gelu_run", ((128, 3072), "float32")),
# float32:[20, 768] = float:[20, 768]
("gelu_004_input_20_768", "gelu_run", ((20, 768), "float32")),
## gelu_grad OP ###
# float16:[64 * 128, 4096] = float16:[64 * 128, 4096]
("gelu_grad_001_input_8192_4096", "gelu_grad_run", ((64 * 128, 4096), "float32")),
# float16:[64 * 20, 1024] = float:[64 * 20, 1024]
("gelu_grad_002_input_8192_1024", "gelu_grad_run", ((64 * 20, 1024), "float32")),
# float32:[128, 3072] = float:[128, 3072]
("gelu_grad_003_input_128_3072", "gelu_grad_run", ((128, 3072), "float32")),
# float32:[20, 768] = float:[20, 768]
("gelu_grad_004_input_20_768", "gelu_grad_run", ((20, 768), "float32")),
# LayerNorm OP ###
# float16:[64 * 128, 1024] = float16:[64 * 128, 1024]
("fused_layernorm_001_8192_1024", "fused_layernorm_run", ((64 * 128, 1024), 1, -1, 'float16')),
# float16:[64 * 20, 1024] = float:[64 * 20, 1024]
("fused_layernorm_002_1280_1024", "fused_layernorm_run", ((64 * 20, 1024), 1, -1, 'float16')),
# float32:[1, 128, 768] = float:[1, 128, 768]
("fused_layernorm_003_1_128_768", "fused_layernorm_run", ((1, 128, 768), -1, -1, 'float32')),
# float32:[20, 768] = float:[20, 768]
("fused_layernorm_004_20_768", "fused_layernorm_run", ((20, 768), 1, -1, 'float32')),
# float32:[128, 768] = float:[128, 768]
("fused_layernorm_005_128_768", "fused_layernorm_run", ((128, 768), 1, -1, 'float32')),
# LayerNormGrad ###
# float16:[64 * 128, 1024] = float16:[64 * 128, 1024]
("fused_layer_norm_grad_01", "fused_layer_norm_grad_run", ((8192, 1024), -1, -1, "float16")),
# float32:[1, 128, 768] = float:[1, 128, 768]
("fused_layer_norm_grad_02", "fused_layer_norm_grad_run", ((1, 128, 768), -1, -1, 'float32')),
# float32:[20, 768] = float:[20, 768]
("fused_layer_norm_grad_03", "fused_layer_norm_grad_run", ((20, 768), -1, -1, 'float32')),
# float32:[128, 768] = float:[128, 768]
("fused_layer_norm_grad_04", "fused_layer_norm_grad_run", ((128, 768), -1, -1, 'float32')),
# float32:[128, 1024] = float:[128, 1024]
("fused_layer_norm_grad_05", "fused_layer_norm_grad_run", ((128, 1024), -1, -1, 'float32')),
# float32:[1, 128, 1024] = float:[1, 128, 1024]
("fused_layer_norm_grad_06", "fused_layer_norm_grad_run", ((1, 128, 1024), -1, -1, 'float32')),
# FusedMinimumOrMaximumGrad ###
("fused_min_or_max_grad_01", "fused_minimum_or_maximum_grad_run",
((64,), (64,), (64,), True, True, "GE", "float16", "cce_min_max_grad_fp16")),
("fused_min_or_max_grad_02", "fused_minimum_or_maximum_grad_run",
((64,), (64,), (64,), True, True, "LE", "float16", "cce_min_max_grad_fp16")),
("fused_min_or_max_grad_03", "fused_minimum_or_maximum_grad_run",
((64,), (64,), (64,), False, True, "GE", "float16", "cce_min_max_grad_fp16")),
("fused_min_or_max_grad_04", "fused_minimum_or_maximum_grad_run",
((64, 64), (64, 64), (64, 64), True, False, "GE", "float16", "cce_min_max_grad_fp16")),
("fused_min_or_max_grad_05", "fused_minimum_or_maximum_grad_run",
((128,), (128,), (128,), True, False, "LE", "float16", "cce_min_max_grad_fp16")),
("fused_min_or_max_grad_06", "fused_minimum_or_maximum_grad_run",
((128,), (128,), (128,), False, True, "LE", "float16", "cce_min_max_grad_fp16")),
# dropout OP ###
# float16:[64, 128, 1024] = float:[64, 128, 1024]
("dropout_001", "dropout_run", ((64, 128, 1024), 1.0, "float16", "cce_dropout_do_mask")),
# # float16:[64, 16, 128, 128] = float:[64, 16, 128, 128]
("dropout_002", "dropout_run", ((64, 16, 128, 128), 1.0, "float16", "cce_dropout_do_mask")),
# # float16:[64 * 128, 1024] = float:[64 * 128, 1024]
("dropout_003", "dropout_run", ((64 * 128, 1024), 1.0, "float16", "cce_dropout_do_mask")),
# reduce mean ###
# float - int32:[64, 128, 1024] - [1]
("mean_001", "mean_run", ((64, 128, 1024), "float32", (2,), False, "cce_mean_64_128_1024_fp32")),
# float - int32:[8] - [1]
("mean_002", "mean_run", ((8,), "float32", (0,), True, "cce_mean_8_fp32")),
# float - int32:[1024, 1024] - [1]
("mean_003", "mean_run", ((1024, 1024), "float32", (1,), False, "cce_mean_1024_1024_fp32")),
# float - int32:[64] - [1]
("mean_004", "mean_run", ((64,), "float32", (0,), False, "cce_mean_64_fp32")),
# float - int32:[8, 128, 1024] - [1]
("mean_005", "mean_run", ((8, 128, 1024), "float32", (2,), True, "cce_mean_64_128_1024_fp32")),
# float - int32:[1280, 1024] - [1]
("mean_006", "mean_run", ((1280, 1024), "float32", (1,), False, "cce_mean_1280_1024_fp32")),
# float - int32:[8192, 1024] - [1]
("mean_007", "mean_run", ((8192, 1024), "float32", (1,), False, "cce_mean_8192_1024_fp32")),
# float - int32:[160, 1024] - [1]
("mean_008", "mean_run", ((160, 1024), "float32", (0,), True, "cce_mean_160_1024_fp32")),
# float - int32:[64, 128, 768] - [1] = float:[64, 128, 1]
("mean_009", "mean_run", ((64, 128, 768), "float32", (0,), True, "cce_mean_64_128_1024_fp32")),
# float - int32:[1280, 768] - [1] = float:[1280, 1]
("mean_010", "mean_run", ((1280, 768), "float32", (0,), True, "cce_mean_64_128_1024_fp32")),
# float - int32:[8192, 768] - [1] = float:[8192, 1]
("mean_011", "mean_run", ((8192, 768), "float32", (1,), True, "cce_mean_64_128_1024_fp32")),
# float - int32:[64] - [1] = float:[]
("mean_012", "mean_run", ((64,), "float32", (0,), False, "cce_mean_64_128_1024_fp32")),
# LessEqual OP ###
# float - float:[64, 128, 768] - [] = bool:[64, 128, 768]
("less_equal_001", "less_equal_run", (((64, 128, 768), (64, 128, 768)), "float32", "less_equal_run")),
# float - float:[128, 128, 64] - [] = bool:[128, 128, 64]
("less_equal_002", "less_equal_run", (((128, 128, 64), (128, 128, 64)), "float32", "less_equal_run")),
# int32 - int32:[] - []
("less_equal_003", "less_equal_run", (((1,), (1,)), "int32", "less_equal_run")),
# addn op
# ("20_addn_input_1280_1024_2_dim_2_01", "addn_run", ((1280, 1024), "float16", 2)),
# float - float:[1280, 1024] - [1280, 1024] = float:[1280, 1024]
("addn_001_input_fp32", "addn_run", ((1280, 1024), "float32", 2)),
# float - float:[64, 128, 1024] - [64, 128, 1024] = float:[64, 128, 1024]
("addn_002_input_fp32", "addn_run", ((64, 128, 1024), "float32", 2)),
# float - float:[8, 128, 1024] - [8, 128, 1024] = float:[8, 128, 1024]
("addn_003_input_fp32", "addn_run", ((8, 128, 1024), "float32", 2)),
# float - float - float:[8192, 1024] - [8192, 1024] - [8192, 1024] = float:[8192, 1024]
("addn_004_input_fp32", "addn_run", ((8192, 1024), "float32", 3)),
# float - float:[8192, 1024] - [8192, 1024] = float:[8192, 1024]
("addn_005_input_fp32", "addn_run", ((8192, 1024), "float32", 2)),
# float - float - float - float:[8192, 1024] - [8192, 1024] - [8192, 1024] - [8192, 1024] = float:[8192, 1024]
("addn_006_input_fp32", "addn_run", ((8192, 1024), "float32", 4)),
# float - float - float:[64, 128, 1024] - [64, 128, 1024] - [64, 128, 1024] = float:[64, 128, 1024]
("addn_007_input_fp32", "addn_run", ((64, 128, 1024), "float32", 3)),
# float - float - float:[8192, 4096] - [8192, 4096] - [8192, 4096] = float:[8192, 4096]
("addn_008_input_fp32", "addn_run", ((8192, 4096), "float32", 3)),
# float - float - float:[1280, 1024] - [1280, 1024] - [1280, 1024] = float:[1280, 1024]
("addn_009_input_fp32", "addn_run", ((1280, 1024), "float32", 3)),
# half - half - half - half:[8192, 768] - [8192, 768] - [8192, 768] - [8192, 768] = half:[8192, 768]
("addn_010_input_fp32", "addn_run", ((8192, 768), "float16", 4)),
# half - half:[8192, 768] - [8192, 768] = half:[8192, 768]
("addn_011_input_fp32", "addn_run", ((8192, 768), "float16", 2)),
# float - float:[64, 128, 768] - [64, 128, 768] = float:[64, 128, 768]
("addn_012_input_fp32", "addn_run", ((8192, 768), "float32", 2)),
# float - float:[21128, 768] - [21128, 768] = float:[21128, 768]
("addn_013_input_fp32", "addn_run", ((21128, 768), "float32", 2)),
# half - half - half:[8192, 3072] - [8192, 3072] - [8192, 3072] = half:[8192, 3072]
("addn_014_input_fp32", "addn_run", ((8192, 3072), "float16", 3)),
# half - half:[64, 12, 128, 64] - [64, 12, 128, 64] = half:[64, 12, 128, 64]
("addn_015_input_fp32", "addn_run", ((64, 12, 128, 64), "float16", 2)),
# float - float:[1280, 768] - [1280, 768] = float:[1280, 768]
("addn_016_input_fp32", "addn_run", ((1280, 768), "float32", 2)),
# float - float:[8192, 768] - [8192, 768] = float:[8192, 768]
("addn_017_input_fp32", "addn_run", ((8192, 768), "float32", 2)),
# float - float - float:[64, 128, 768] - [64, 128, 768] - [64, 128, 768] = float:[64, 128, 768]
("addn_018_input_fp32", "addn_run", ((64, 128, 768), "float32", 3)),
# half - half:[64, 12, 128, 128] - [64, 12, 128, 128] = half:[64, 12, 128, 128]
("addn_019_input_fp32", "addn_run", ((8192, 768), "float16", 2)),
# float - float - float:[1280, 768] - [1280, 768] - [1280, 768] = float:[1280, 768]
("addn_020_input_fp32", "addn_run", ((1280, 768), "float32", 3)),
# BactchMatmul OP ###
# float - float:[64, 16, 128, 64] - [64, 16, 128, 64] = float:[64, 16, 128, 128]
("batch_matmul_4D_001", "batchmatmul_run",
((64, 16), 128, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[8, 16, 128, 64] - [8, 16, 128, 64] = float:[8, 16, 128, 128]
("batch_matmul_4D_002", "batchmatmul_run",
((8, 16), 128, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[64, 16, 128, 128] - [64, 16, 128, 64] = float:[64, 16, 128, 64]
("batch_matmul_4D_003", "batchmatmul_run",
((64, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8, 16, 128, 128] - [8, 16, 128, 64] = float:[8, 16, 128, 64]
("batch_matmul_4D_004", "batchmatmul_run",
((8, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# half - half:[128, 768, 128] - [128, 768, 64] = half:[128, 128, 64]
("batch_matmul_3D_005", "batchmatmul_run",
((128,), 128, 64, 768, (), "float16", True, False, "batch_matmul_output")),
# half - half:[64, 12, 128, 128] - [64, 12, 128, 64] = half:[64, 12, 128, 64]
("batch_matmul_4D_006", "batchmatmul_run",
((64, 12), 128, 64, 128, (), "float16", False, False, "batch_matmul_output")),
# half - half:[128, 768, 64] - [128, 128, 64] = half:[128, 768, 128]
("batch_matmul_3D_007", "batchmatmul_run",
((128,), 768, 128, 64, (), "float16", False, True, "batch_matmul_output")),
# half - half:[64, 12, 128, 64] - [64, 12, 128, 64] = half:[64, 12, 128, 128]
("batch_matmul_4D_008", "batchmatmul_run",
((64, 12), 128, 128, 64, (), "float16", False, True, "batch_matmul_output")),
# half - half:[128, 768, 128] - [128, 128, 64] = half:[128, 768, 64]
("batch_matmul_4D_009", "batchmatmul_run",
((128,), 768, 64, 128, (), "float16", False, False, "batch_matmul_output")),
# LogSoftMax OP ###
("logsoftmax_01_fp32", "logsoftmax_run", ((64, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[64, 2] = float:[64, 2]
("logsoftmax_001_fp32", "logsoftmax_run", ((64, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[160, 30522] = float:[160, 30522]
("logsoftmax_002_fp32", "logsoftmax_run", ((160, 30522), "float32", -1, "cce_logsoftmax_fp32")),
# float:[8, 2] = float:[8, 2]
("logsoftmax_003_fp32", "logsoftmax_run", ((8, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1280, 30522] = float:[1280, 30522]
("logsoftmax_004_fp32", "logsoftmax_run", ((1280, 30522), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1280, 21128] = float:[1280, 21128]
("logsoftmax_005_fp32", "logsoftmax_run", ((1280, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[64, 2] = float:[64, 2]
("logsoftmax_006_fp32", "logsoftmax_run", ((64, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1, 2] = float:[1, 2]
("logsoftmax_007_fp32", "logsoftmax_run", ((1, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20, 32000] = float:[20, 32000]
("logsoftmax_008_fp32", "logsoftmax_run", ((20, 32000), "float32", -1, "cce_logsoftmax_fp32")),
# LogSoftMaxDrad OP ###
# float:[64, 2] = float:[64, 2]
("logsoftmax_grad_001", "logsoftmax_grad_run", ((64, 2), "float32", -1, "cce_logsoftmax_fp16")),
# float:[160, 30522] = float:[160, 30522]
("logsoftmax_grad_002", "logsoftmax_grad_run", ((160, 30522), "float32", -1, "cce_logsoftmax_fp16")),
# float:[8, 2] = float:[8, 2]
("logsoftmax_grad_003", "logsoftmax_grad_run", ((8, 2), "float32", -1, "cce_logsoftmax_fp16")),
# float:[1280, 30522] = float:[1280, 30522]
("logsoftmax_grad_004", "logsoftmax_grad_run", ((1280, 30522), "float32", -1, "cce_logsoftmax_fp16")),
# float:[1, 2] = float:[1, 2]
("logsoftmax_grad_005", "logsoftmax_grad_run", ((1, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20, 32000] = float:[20, 32000]
("logsoftmax_grad_006", "logsoftmax_grad_run", ((20, 32000), "float32", -1, "cce_logsoftmax_fp32")),
# matmul op
# # float - float:[160, 1024] - [1024, 1024] = float:[160, 1024]
("matmul_0001", "batchmatmul_run",
((), 160, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 4096] - [4096, 1024] = float:[8192, 1024]
("matmul_0002", "batchmatmul_run",
((), 8192, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 1024] - [8192, 1024] = float:[1024, 1024]
("matmul_0003", "batchmatmul_run",
((), 1024, 1024, 8192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[64, 1024] - [2, 1024] = float:[64, 2]
("matmul_0004", "batchmatmul_run", ((), 64, 2, 1024, (), "float32", False, True, "batch_matmul_output")),
# float - float:[1024, 2] - [2, 1024] = float:[1024, 1024]
("matmul_0005", "batchmatmul_run", ((), 1024, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1024, 4096] - [4096, 1024] = float:[1024, 1024]
("matmul_0006", "batchmatmul_run",
((), 1024, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 2] - [8192, 1024] = float:[2, 1024]
("matmul_0007", "batchmatmul_run", ((), 2, 1024, 8192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1280, 30522] - [1280, 1024] = float:[30522, 1024]
("matmul_0008", "batchmatmul_run",
((), 30522, 1024, 1280, (), "float32", True, False, "batch_matmul_output")),
# float - float:[8, 1024] - [2, 1024] = float:[8, 2]
("matmul_0009", "batchmatmul_run", ((), 8, 2, 1024, (), "float32", False, True, "batch_matmul_output")),
# float - float:[8192, 1024] - [1024, 1024] = float:[8192, 1024]
("matmul_0010", "batchmatmul_run",
((), 8192, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1280, 1024] - [1280, 1024] = float:[1024, 1024]
("matmul_0011", "batchmatmul_run",
((), 1280, 1280, 1024, (), "float32", False, True, "batch_matmul_output")),
# float - float:[1024, 1024] - [1024, 4096] = float:[1024, 4096]
("matmul_0012", "batchmatmul_run",
((), 1024, 4096, 1024, (), "float32", False, True, "batch_matmul_output")),
# float - float:[8192, 2] - [2, 1024] = float:[8192, 1024]
("matmul_0013", "batchmatmul_run", ((), 8192, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 1024] - [8192, 4096] = float:[1024, 4096]
("matmul_0014", "batchmatmul_run",
((), 1024, 4096, 8192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[64, 1024] - [1024, 1024] = float:[64, 1024]
(
"matmul_0015", "batchmatmul_run",
((), 64, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[64, 2] - [64, 1024] = float:[2, 1024]
("matmul_0016", "batchmatmul_run", ((), 2, 1024, 64, (), "float32", True, False, "batch_matmul_output")),
# float - float:[160, 1024] - [30522, 1024] = float:[160, 30522]
("matmul_0017", "batchmatmul_run",
((), 160, 30522, 1024, (), "float32", False, True, "batch_matmul_output")),
# float - float:[64, 1024] - [64, 1024] = float:[1024, 1024]
("matmul_0018", "batchmatmul_run", ((), 1024, 1024, 64, (), "float32", True, False, "batch_matmul_output")),
# float - float:[8192, 4096] - [8192, 1024] = float:[4096, 1024]
("matmul_0019", "batchmatmul_run",
((), 4096, 1024, 8192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1280, 30522] - [30522, 1024] = float:[1280, 1024]
("matmul_0020", "batchmatmul_run",
((), 1280, 1024, 30522, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 4096] - [1024, 4096] = float:[8192, 1024]
("matmul_0021", "batchmatmul_run",
((), 8192, 1024, 4096, (), "float32", False, True, "batch_matmul_output")),
# float - float:[8, 1024] - [1024, 1024] = float:[8, 1024]
("matmul_0022", "batchmatmul_run",
((), 160, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1024, 1024] - [1024, 1024] = float:[1024, 1024]
("matmul_0023", "batchmatmul_run",
((), 1024, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[64, 2] - [2, 1024] = float:[64, 1024]
("matmul_0024", "batchmatmul_run", ((), 64, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1280, 1024] - [30522, 1024] = float:[1280, 30522]
("matmul_0025", "batchmatmul_run",
((), 1280, 30522, 1024, (), "float32", False, True, "batch_matmul_output")),
# float - float:[1280, 1024] - [1024, 1024] = float:[1280, 1024]
("matmul_0026", "batchmatmul_run",
((), 1280, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 1024] - [1024, 4096] = float:[8192, 4096]
("matmul_0027", "batchmatmul_run",
((), 8192, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 1024] - [4096, 1024] = float:[8192, 4096]
("matmul_0028", "batchmatmul_run",
((), 8192, 4096, 1024, (), "float32", False, True, "batch_matmul_output")),
# half - half:[8192, 768] - [8192, 768] = half:[768, 768]
("matmul_0029", "batchmatmul_run", ((), 768, 768, 8192, (), "float16", True, False, "batch_matmul_output")),
# float - float:[16384, 33] - [33, 64] = float:[16384, 64]
("matmul_0030", "batchmatmul_run", ((), 16384, 64, 33, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1280, 21128] - [21128, 768] = float:[1280, 768]
("matmul_0031", "batchmatmul_run",
((), 1280, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1280, 768] - [768, 768] = float:[1280, 768]
(
"matmul_0032", "batchmatmul_run",
((), 1280, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# half - half:[8192, 3072] - [8192, 768] = half:[3072, 768]
(
"matmul_0033", "batchmatmul_run",
((), 3072, 768, 8192, (), "float16", True, False, "batch_matmul_output")),
# float - float:[64, 2] - [64, 768] = float:[2, 768]
("matmul_0034", "batchmatmul_run", ((), 2, 768, 64, (), "float32", True, False, "batch_matmul_output")),
# half - half:[8192, 768] - [768, 3072] = half:[8192, 3072]
("matmul_0035", "batchmatmul_run",
((), 8192, 3072, 768, (), "float16", False, False, "batch_matmul_output")),
# half - half:[8192, 768] - [8192, 3072] = half:[768, 3072]
(
"matmul_0036", "batchmatmul_run",
((), 768, 3072, 8192, (), "float16", True, False, "batch_matmul_output")),
# float - float:[16384, 33] - [16384, 64] = float:[33, 64]
("matmul_0037", "batchmatmul_run", ((), 33, 64, 16384, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1280, 21128] - [1280, 768] = float:[21128, 768]
("matmul_0038", "batchmatmul_run",
((), 21128, 768, 1280, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1280, 768] - [21128, 768] = float:[1280, 21128]
("matmul_0039", "batchmatmul_run",
((), 160, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float - float:[64, 768] - [64, 768] = float:[768, 768]
("matmul_0040", "batchmatmul_run", ((), 768, 768, 64, (), "float32", True, False, "batch_matmul_output")),
# float - float:[64, 768] - [2, 768] = float:[64, 2]
("matmul_0041", "batchmatmul_run", ((), 64, 2, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 21128] - [21128, 768] = float:[8192, 768]
("matmul_0042", "batchmatmul_run",
((), 8192, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# half - half:[8192, 3072] - [768, 3072] = half:[8192, 768]
(
"matmul_0043", "batchmatmul_run",
((), 8192, 768, 3072, (), "float16", False, True, "batch_matmul_output")),
# half - half:[8192, 768] - [3072, 768] = half:[8192, 3072]
(
"matmul_0044", "batchmatmul_run",
((), 8192, 3072, 768, (), "float16", False, True, "batch_matmul_output")),
# float - float:[8192, 2] - [8192, 768] = float:[2, 768]
("matmul_0045", "batchmatmul_run", ((), 2, 768, 8192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[64, 2] - [2, 768] = float:[64, 768]
("matmul_0046", "batchmatmul_run", ((), 64, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 2] - [2, 768] = float:[8192, 768]
("matmul_0047", "batchmatmul_run", ((), 8192, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# half - half:[8192, 768] - [768, 768] = half:[8192, 768]
(
"matmul_0048", "batchmatmul_run",
((), 8192, 768, 768, (), "float16", False, False, "batch_matmul_output")),
# float - float:[64, 768] - [768, 768] = float:[64, 768]
("matmul_0049", "batchmatmul_run", ((), 64, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 21128] - [8192, 768] = float:[21128, 768]
("matmul_0050", "batchmatmul_run",
((), 21128, 768, 8192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1280, 768] - [1280, 768] = float:[768, 768]
("matmul_0051", "batchmatmul_run", ((), 768, 1024, 768, (), "float32", True, False, "batch_matmul_output")),
# half - half:[8192, 3072] - [3072, 768] = half:[8192, 768]
("matmul_0052", "batchmatmul_run",
((), 8192, 768, 3072, (), "float16", False, False, "batch_matmul_output")),
# float - float:[1, 768] - [2, 768] = float:[1, 2]
("matmul_0053", "batchmatmul_run", ((), 1, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[1, 2] - [1, 768] = float:[2, 768]
("matmul_0054", "batchmatmul_run", ((), 2, 768, 1, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1, 768] - [1, 768] = float:[768, 768]
("matmul_0055", "batchmatmul_run", ((), 768, 768, 768, (), "float32", True, False, "batch_matmul_output")),
# float - float:[20, 768] - [32000, 768] = float:[20, 32000]
("matmul_0056", "batchmatmul_run", ((), 20, 32000, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[20, 32000] - [32000, 768] = float:[20, 768]
(
"matmul_0057", "batchmatmul_run",
((), 20, 768, 32000, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 768] - [128, 3072] = float:[768, 3072]
("matmul_0058", "batchmatmul_run", ((), 768, 3072, 128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 768] - [768, 3072] = float:[128, 3072]
(
"matmul_0059", "batchmatmul_run",
((), 128, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1, 12, 128, 128] - [1, 12, 128, 64] = float:[1, 12, 128, 64]
("matmul_0060", "batchmatmul_run",
((1, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 768] - [768, 3072] = float:[128, 768]
("matmul_0061", "batchmatmul_run", ((), 128, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[20, 32000] - [20, 768] = float:[32000, 768]
("matmul_0062", "batchmatmul_run", ((), 32000, 768, 20, (), "float32", True, False, "batch_matmul_output")),
# float - float:[1, 12, 128, 64] - [1, 12, 128, 64] = float:[1, 12, 128, 128]
("matmul_0063", "batchmatmul_run",
((1, 12), 128, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# Neg OP ###
# float:[64] = float:[64]
('neg_001_64_128_1024_fp32', "neg_run", ((64,), 'float32')),
# float:[8192, 1024] = float:[8192, 1024]
('neg_002_64_128_1024_fp32', "neg_run", ((8192, 1024), 'float32')),
# float:[160] = float:[160]
('neg_003_64_128_1024_fp32', "neg_run", ((160,), 'float32')),
# float:[1280, 1024] = float:[1280, 1024]
('neg_004_64_128_1024_fp32', "neg_run", ((1280, 1024), 'float32')),
# float:[1280] = float:[1280]
('neg_005_64_128_1024_fp32', "neg_run", ((1280,), 'float32')),
# float:[8] = float:[8]
('neg_006_64_128_1024_fp32', "neg_run", ((8,), 'float32')),
# float:[64, 128, 1024] = float:[64, 128, 1024]
('neg_007_64_128_1024_fp32', "neg_run", ((64, 128, 1024), 'float32')),
# half:[8192, 768] = half:[8192, 768]
('neg_008_64_128_1024_fp32', "neg_run", ((8192, 768), 'float16')),
# float:[64] = float:[64]
('neg_009_64_128_1024_fp32', "neg_run", ((64,), 'float32')),
# float:[64, 128, 768] = float:[64, 128, 768]
('neg_010_64_128_1024_fp32', "neg_run", ((64, 128, 768), 'float32')),
# float:[1280, 768] = float:[1280, 768]
('neg_011_64_128_1024_fp32', "neg_run", ((1280, 768), 'float32')),
# float:[1280] = float:[1280]
('neg_012_64_128_1024_fp32', "neg_run", ((1280,), 'float32')),
# float:[20] = float:[20]
('neg_013_64_128_1024_fp32', "neg_run", ((20,), 'float32')),
# onehot OP
# int32 - int32 - float - float:[160] - [] - [] - [] = float:[160, 30522]
("test_one_hot_001", "one_hot_run", ((160,), 30522, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[8192] - [] - [] - [] = float:[8192, 2]
("test_one_hot_002", "one_hot_run", ((8192,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[1024] - [] - [] - [] = float:[1024, 2]
("test_one_hot_003", "one_hot_run", ((1024,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[1280] - [] - [] - [] = float:[1280, 30522]
("test_one_hot_004", "one_hot_run", ((1280,), 30522, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[8] - [] - [] - [] = float:[8, 2]
("test_one_hot_005", "one_hot_run", ((8,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[64] - [] - [] - [] = float:[64, 2]
("test_one_hot_006", "one_hot_run", ((64,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[8192] - [] - [] - [] = float:[8192, 21128]
("test_one_hot_007", "one_hot_run", ((8192,), 21128, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[8192] - [] - [] - [] = float:[8192, 2]
("test_one_hot_008", "one_hot_run", ((8192,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[1280] - [] - [] - [] = float:[1280, 21128]
("test_one_hot_009", "one_hot_run", ((1280,), 21128, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[64] - [] - [] - [] = float:[64, 2]
("test_one_hot_010", "one_hot_run", ((64,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[20] - [] - [] - [] = float:[20, 2]
("test_one_hot_011", "one_hot_run", ((20,), 2, "int32", 1, 0, -1)),
# int32 - int32 - float - float:[1] - [32000] - [] - [] = float:[32000]
("test_one_hot_012", "one_hot_run", ((64,), 32000, "int32", 1, 0, -1)),
# square OP
# float:[4096]
("square_001", "square_run", ((4096,), "float32", "cce_mod_fp32")),
# float:[1280, 1024]
("square_002", "square_run", ((1280, 1024), "float32", "cce_mod_fp32")),
# float:[1024, 1024]
("square_003", "square_run", ((1024, 1024), "float32", "cce_mod_fp32")),
# float:[2, 1024]
("square_004", "square_run", ((2, 1024), "float32", "cce_mod_fp32")),
# # float:[4096, 1024]
("square_005", "square_run", ((4096, 1024), "float32", "cce_mod_fp32")),
# # float:[8192, 4096]
("square_006", "square_run", ((8192, 4096), "float32", "cce_mod_fp32")),
# float:[1024]
("square_007", "square_run", ((1024,), "float32", "cce_mod_fp32")),
# float:[1024, 4096]
("square_008", "square_run", ((1024, 4096), "float32", "cce_mod_fp32")),
# float:[30522]
("square_009", "square_run", ((30522,), "float32", "cce_mod_fp32")),
# float:[30522, 1024]
("square_010", "square_run", ((30522, 1024), "float32", "cce_mod_fp32")),
# float:[2]
("square_011", "square_run", ((2,), "float32", "cce_mod_fp32")),
# float:[512, 1024]
("square_012", "square_run", ((512, 1024), "float32", "cce_mod_fp32")),
# float:[768, 3072] = float:[768, 3072]
("square_013", "square_run", ((768, 3072), "float32", "cce_mod_fp32")),
# half:[8192, 3072] = half:[8192, 3072]
("square_014", "square_run", ((8192, 3072), "float16", "cce_mod_fp32")),
# float:[1280, 768] = float:[1280, 768]
("square_015", "square_run", ((1280, 768), "float32", "cce_mod_fp32")),
# float:[768, 768] = float:[768, 768]
("square_016", "square_run", ((768, 768), "float32", "cce_mod_fp32")),
# float:[3072] = float:[3072]
("square_017", "square_run", ((3072,), "float32", "cce_mod_fp32")),
# float:[3072, 768] = float:[3072, 768]
("square_018", "square_run", ((3072, 768), "float32", "cce_mod_fp32")),
# float:[21128, 768] = float:[21128, 768]
("square_019", "square_run", ((21128, 768), "float32", "cce_mod_fp32")),
# float:[21128] = float:[21128]
("square_020", "square_run", ((21128,), "float32", "cce_mod_fp32")),
# float:[2] = float:[2]
("square_021", "square_run", ((2,), "float32", "cce_mod_fp32")),
# float:[33, 64] = float:[33, 64]
("square_022", "square_run", ((33, 64), "float32", "cce_mod_fp32")),
# float:[768] = float:[768]
("square_023", "square_run", ((768,), "float32", "cce_mod_fp32")),
# float:[2, 768] = float:[2, 768]
("square_024", "square_run", ((2, 768), "float32", "cce_mod_fp32")),
# sub OP
# float - float:[30522] - [30522] = float:[30522]
("001_sub_30522_30522_fp32", "sub_run", [(30522,), (30522,), "float32"]),
# float - float:[1024] - [1024, 1024] = float:[1024, 1024]
("002_sub_1024_1024_1024_fp32", "sub_run", [(1024,), (1024, 1024), "float32"]),
# float - float:[1024, 1024] - [1024, 1024] = float:[1024, 1024]
("003_sub_1024_1024_1024_1024_fp32", "sub_run", [(1024, 1024), (1024, 1024), "float32"]),
# float - float:[1024, 4096] - [1024, 4096] = float:[1024, 4096]
("004_sub_1024_4096_1024_4096_fp32", "sub_run", [(1024, 4096), (1024, 4096), "float32"]),
# # float - float:[64, 128, 1024] - [64, 128, 1] = float:[64, 128, 1024]
("005_sub_64_128_1024_64_128_1024_fp32", "sub_run", [(64, 128, 1024), (64, 128, 1), "float32"]),
# float - float:[4096] - [4096] = float:[4096]
("006_sub_4096_4096_fp32", "sub_run", [(4096,), (4096,), "float32"]),
# float - float:[30522, 1024] - [30522, 1024] = float:[30522, 1024]
("007_sub_30522_1024_30522_1024_fp32", "sub_run", [(30522, 1024), (30522, 1024), "float32"]),
# float - float:[] - [] = float:[]
("008_sub_1_1_fp32", "sub_run", [(1,), (1,), "float32"]),
# float - float:[1280, 1024] - [1280, 1] = float:[1280, 1024]
("009_sub_1280_1024_1280_1_fp32", "sub_run", [(1280, 1024), (1280, 1), "float32"]),
# float - float:[1024] - [1024] = float:[1024]
("010_sub_1024_1024_fp32", "sub_run", [(1024,), (1024,), "float32"]),
# float - float:[1280, 30522] - [1280, 30522] = float:[1280, 30522]
("011_sub_1280_30522_1280_30522_fp32", "sub_run", [(1280, 30522), (1280, 30522), "float32"]),
# float - float:[64, 2] - [64, 2] = float:[64, 2]
("012_sub_64_2_64_2_fp32", "sub_run", [(64, 2), (64, 2), "float32"]),
# float - float:[1024] - [8, 128, 1024] = float:[8, 128, 1024]
("013_sub_1024_8_128_1024_fp32", "sub_run", [(1024,), (8, 128, 1024), "float32"]),
# float - float:[8192, 1024] - [8192, 1] = float:[8192, 1024]
("014_sub_8192_1024_8192_1_fp32", "sub_run", [(8192, 1024), (8192, 1), "float32"]),
# float - float:[1024] - [64, 128, 1024] = float:[64, 128, 1024]
("015_sub_1024_64_128_1024_fp32", "sub_run", [(1024,), (64, 128, 1024), "float32"]),
# float - float:[2, 1024] - [2, 1024] = float:[2, 1024]
("016_sub_2_1024_2_1024_fp32", "sub_run", [(2, 1024), (2, 1024), "float32"]),
# float - float:[2] - [2] = float:[2]
("017_sub_2_2_fp32", "sub_run", [(2,), (2,), "float32"]),
# int32 - int32:[2] - [2] = int32:[2]
("018_sub_2_2_int32", "sub_run", [(2,), (2,), "int32"]),
# float - float:[1024] - [8192, 1024] = float:[8192, 1024]
("019_sub_1024_8192_1024_fp32", "sub_run", [(1024,), (8192, 1024), "float32"]),
# float - float:[512, 1024] - [512, 1024] = float:[512, 1024]
("020_sub_512_1024_512_1024_fp32", "sub_run", [(512, 1024), (512, 1024), "float32"]),
# float - float:[1024] - [160, 1024] = float:[160, 1024]
("021_sub_1024_160_1024_fp32", "sub_run", [(1024,), (160, 1024), "float32"]),
# float - float:[4096, 1024] - [4096, 1024] = float:[4096, 1024]
("022_sub_4096_1024_4096_1024_fp32", "sub_run", [(4096, 1024), (4096, 1024), "float32"]),
# float - float:[1024] - [1280, 1024] = float:[1280, 1024]
("023_sub_1024_1280_1024_fp32", "sub_run", [(1024,), (1280, 1024), "float32"]),
# float - float:[] - [8, 1, 128, 128] = float:[8, 1, 128, 128]
("024_sub_1_8_1_128_128_fp32", "sub_run", [(1,), (8, 1, 128, 128), "float32"]),
# float - float:[64, 16, 128, 128] - [64, 16, 128, 1] = float:[64, 16, 128, 128]
("025_sub_64_16_128_128_64_16_128_1_fp32", "sub_run", [(64, 16, 128, 128), (64, 16, 128, 1), "float32"]),
# float - float:[] - [64, 1, 128, 128] = float:[64, 1, 128, 128]
("026_sub_1_64_1_128_128_fp32", "sub_run", [(1,), (64, 1, 128, 128), "float32"]),
# half - half:[] - [64, 1, 128, 128] = half:[64, 1, 128, 128]
("027_sub_1_64_1_128_128_fp32", "sub_run", [(1,), (64, 1, 128, 128), "float16"]),
# float - float:[2, 768] - [2, 768] = float:[2, 768]
("028_sub_2_768_2_768_fp32", "sub_run", [(2, 768), (2, 768), "float32"]),
# float - float:[768, 768] - [768, 768] = float:[768, 768]
("029_sub_768_768_768_768_fp32", "sub_run", [(768, 768), (768, 768), "float32"]),
# float - float:[768] - [1280, 768] = float:[1280, 768]
("030_sub_768_1280_768_fp32", "sub_run", [(768,), (1280, 768), "float32"]),
# float - float:[1280, 768] - [1280, 1] = float:[1280, 768]
("031_sub_1280_768_1280_1_fp32", "sub_run", [(1280, 768), (1280, 1), "float32"]),
# float - float:[8192, 768] - [8192, 1] = float:[8192, 768]
("032_sub_8192_768_8192_1_fp32", "sub_run", [(8192, 768), (8192, 1), "float32"]),
# float - float:[21128] - [21128] = float:[21128]
("033_sub_21128_21128_1_fp32", "sub_run", [(21128,), (21128,), "float32"]),
# float - float:[3072] - [3072] = float:[3072]
("034_sub_3072_3072_fp32", "sub_run", [(3072,), (3072,), "float32"]),
# float - float:[3072, 768] - [3072, 768] = float:[3072, 768]
("035_sub_3072_768_3072_768_fp32", "sub_run", [(3072, 768), (3072, 768), "float32"]),
# # float - float:[1280, 21128] - [1280, 21128] = float:[1280, 21128]
("036_sub_1280_21128_1280_21128_fp32", "sub_run", [(1280, 21128), (1280, 21128), "float32"]),
# # float - float:[64, 128, 768] - [64, 128, 1] = float:[64, 128, 768]
("037_sub_64_128_768_64_128_1_fp32", "sub_run", [(64, 128, 768), (64, 128, 1), "float32"]),
# # float - float:[21128, 768] - [21128, 768] = float:[21128, 768]
("038_sub_21128_768_21128_768_fp32", "sub_run", [(21128, 768), (21128, 768), "float32"]),
# float - float:[768] - [768] = float:[768]
("039_sub_768_768_fp32", "sub_run", [(768,), (768,), "float32"]),
# float - float:[768] - [64, 128, 768] = float:[64, 128, 768]
("040_sub_768_64_128_768_fp32", "sub_run", [(768,), (64, 128, 768), "float32"]),
# half - half:[64, 12, 128, 128] - [64, 12, 128, 1] = half:[64, 12, 128, 128]
("041_sub_64_12_128_128_64_12_128_1_fp32", "sub_run", [(64, 12, 128, 128), (64, 12, 128, 1), "float16"]),
# float - float:[2] - [2] = float:[2]
("042_sub_2_2_fp32", "sub_run", [(2,), (2,), "float32"]),
# float - float:[] - [] = float:[]
("043_sub_1_1_fp32", "sub_run", [(1,), (1,), "float32"]),
# float - float:[768, 3072] - [768, 3072] = float:[768, 3072]
("044_sub_768_3072_768_3072_fp32", "sub_run", [(768, 3072), (768, 3072), "float32"]),
# float - float:[64, 2] - [64, 2] = float:[64, 2]
("045_sub_64_2_64_2_fp32", "sub_run", [(64, 2), (64, 2), "float32"]),
# float - float:[33, 64] - [33, 64] = float:[33, 64]
("046_sub_33_64_33_64_fp32", "sub_run", [(33, 64), (33, 64), "float32"]),
# half - half:[768] - [8192, 768] = half:[8192, 768]
("047_sub_768_8192_768_fp32", "sub_run", [(768,), (8192, 768), "float16"]),
# float - float:[2] - [1, 2] = float:[1, 2]
("048_sub_2_1_2_fp32", "sub_run", [(2,), (1, 2), "float32"]),
# float - float:[768] - [1, 768] = float:[1, 768]
("049_sub_768_1_768_fp32", "sub_run", [(1,), (1, 768), "float32"]),
# float - float:[768] - [768, 768] = float:[768, 768]
("050_sub_768_768_768_fp32", "sub_run", [(768,), (768, 768), "float32"]),
# float - float:[2, 768] - [2, 768] = float:[2, 768]
("051_sub_2_768_2_768_fp32", "sub_run", [(2, 768), (2, 768), "float32"]),
# float - float:[32000] - [1, 32000] = float:[1, 32000]
("052_sub_32000_1_32000_fp32", "sub_run", [(32000,), (1, 32000), "float32"]),
# float - float:[768, 3072] - [768, 3072] = float:[768, 3072]
("053_sub_768_3072_768_3072_fp32", "sub_run", [(768, 3072), (768, 3072), "float32"]),
# float - float:[3072] - [1, 3072] = float:[1, 3072]
("054_sub_3072_1_3072_fp32", "sub_run", [(3072,), (1, 3072), "float32"]),
# float - float:[3072, 768] - [3072, 768] = float:[3072, 768]
("055_sub_3072_768_3072_768_fp32", "sub_run", [(3072, 768), (3072, 768), "float32"]),
# float - float:[33, 64] - [33, 64] = float:[33, 64]
("056_sub_33_64_33_64_fp32", "sub_run", [(33, 64), (33, 64), "float32"]),
# float - float:[16, 768] - [16, 768] = float:[16, 768]
("057_sub_16_768_16_768_fp32", "sub_run", [(16, 768), (16, 768), "float32"]),
# float - float:[32000, 768] - [32000, 768] = float:[32000, 768]
("058_sub_32000_768_32000_768_fp32", "sub_run", [(32000, 768), (32000, 768), "float32"]),
# float - float:[1, 12, 128, 128] - [1, 12, 128, 1] = float:[1, 12, 128, 128]
("059_sub_1_12_128_1_1_12_128_1_fp32", "sub_run", [(1, 12, 128, 128), (1, 12, 128, 1), "float32"]),
# float - float:[1] - [1, 1, 128, 128] = float:[1, 1, 128, 128]
("060_sub_1_1_1_128_128_fp32", "sub_run", [(1,), (1, 1, 128, 128), "float32"]),
# sum OP
# float - int32:[64, 128, 1024] - [2] = float:[1024]:ok
("001_sum", "sum_run", ((64, 128, 1024), (0, 1), False, "float32")),
# float - int32:[8] - [1] = float:[]:
("002_sum", "sum_run", ((8,), (0,), False, "float32")),
# float - int32:[64, 128, 1024] - [1] = float:[64, 128]
("003_sum", "sum_run", ((64, 128, 1024), (2,), False, "float32")),
# float - int32:[1280, 30522] - [1] = float:[1280]
("004_sum", "sum_run", ((1280, 30522), (1,), False, "float32")),
# float - int32:[64, 2] - [] = float:[64, 1]
("005_sum", "sum_run", ((64, 2), (1,), True, "float32")),
# float - int32:[1280] - [1] = float:[]
("006_sum", "sum_run", ((1280,), (0,), False, "float32")),
# float - int32:[64, 128, 1] - [1] = float:[64, 128]
("007_sum", "sum_run", ((64, 128, 1), (2,), False, "float32")),
# float - int32:[8192, 1024] - [1] = float:[8192]:ok
("008_sum", "sum_run", ((8192, 1024), (1,), False, "float32")),
# float - int32:[1280, 30522] - [] = float:[1280, 1]:ok
("009_sum", "sum_run", ((1280, 30522), (1,), True, "float32")),
# float - int32:[398] - [1] = float:[]
("010_sum", "sum_run", ((398,), (0,), True, "float32")),
# float - int32:[1280, 1] - [1] = float:[1280]:ok
("011_sum", "sum_run", ((1280, 1), (1,), False, "float32")),
# float - int32:[160, 30522] - [1] = float:[160]:ok
("012_sum", "sum_run", ((160, 30522), (1,), False, "float32")),
# float - int32:[1280, 1024] - [1] = float:[1280]:ok
("013_sum", "sum_run", ((1280, 1024), (1,), False, "float32")),
# float - int32:[64, 2] - [] = float:[64]:ok
("014_sum", "sum_run", ((64, 2), (1,), False, "float32")),
# float - int32:[64, 128, 1024] - [1] = float:[128, 1024]:
("015_sum", "sum_run", ((64, 128, 1024), (0,), False, "float32")),
# float - int32:[64, 16, 128, 128] - [] = float:[64, 16, 128, 1]:ok
("016_sum", "sum_run", ((64, 16, 128, 128), (3,), True, "float32")),
# float - int32:[160] - [1] = float:[]
("017_sum", "sum_run", ((160,), (0,), True, "float32")),
# float - int32:[8, 2] - [] = float:[8]
("018_sum", "sum_run", ((8, 2), (1,), True, "float32")),
# float - int32:[8192, 1024] - [1] = float:[1024]:ok
("019_sum", "sum_run", ((8192, 1024), (0,), False, "float32")),
# float - int32:[8192, 1] - [1] = float:[8192]:ok
("020_sum", "sum_run", ((8192, 1), (1,), False, "float32")),
# float - int32:[1280, 1024] - [1] = float:[1024]:ok
("021_sum", "sum_run", ((1280, 1024), (0,), False, "float32")),
# float - int32:[3072] - [1] = float:[1]
("022_sum", "sum_run", ((3072,), (0,), True, "float32")),
# float - int32:[64, 128, 768] - [2] = float:[768]
("023_sum", "sum_run", ((64, 128, 768), (0, 1), False, "float32")),
# half - int32:[8192, 1] - [1] = half:[8192]
("024_sum", "sum_run", ((8092, 1), (1,), False, "float16")),
# float - int32:[1280, 768] - [1] = float:[1280]
("025_sum", "sum_run", ((1280, 768), (1,), False, "float32")),
# float - int32:[3072, 768] - [2] = float:[1, 1]
("026_sum", "sum_run", ((3072, 768), (0, 1), True, "float32")),
# float - int32:[768, 3072] - [2] = float:[1, 1]
("027_sum", "sum_run", ((768, 3072), (0, 1), True, "float32")),
# float - int32:[1280, 768] - [1] = float:[768]
("028_sum", "sum_run", ((1280, 768), (0,), False, "float32")),
# float - int32:[1280] - [1] = float:[]
("029_sum", "sum_run", ((1280,), (0,), True, "float32")),
# float - int32:[21128] - [1] = float:[1]
("030_sum", "sum_run", ((21128,), (0,), True, "float32")),
# float - int32:[21128, 768] - [2] = float:[1, 1]
("031_sum", "sum_run", ((21128, 768), (0, 1), True, "float32")),
# float - int32:[1280, 21128] - [1] = float:[1280]
("032_sum", "sum_run", ((21128, 768), (1,), True, "float32")),
# half - int32:[64, 12, 128, 128] - [] = half:[64, 12, 128, 1]
("033_sum", "sum_run", ((64, 12, 128, 128), (3,), True, "float16")),
# half - int32:[8192, 768] - [1] = half:[768]
("034_sum", "sum_run", ((8192, 768), (0,), False, "float16")),
# float - int32:[64, 2] - [] = float:[64]
("035_sum", "sum_run", ((64, 2), (1,), False, "float32")),
# float - int32:[768, 768] - [2] = float:[1, 1]
("036_sum", "sum_run", ((768, 768), (0, 1), False, "float32")),
# half - int32:[8192, 768] - [1] = half:[8192]
("037_sum", "sum_run", ((8192, 768), (1,), False, "float16")),
# float - int32:[2] - [1] = float:[1]
("038_sum", "sum_run", ((2, 1), (0,), False, "float32")),
# float - int32:[1280, 1] - [1] = float:[1280]
("039_sum", "sum_run", ((1280, 1), (1,), False, "float32")),
# float - int32:[33, 64] - [2] = float:[1, 1]
("040_sum", "sum_run", ((33, 64), (0, 1), True, "float32")),
# float - int32:[2, 768] - [2] = float:[1, 1]
("041_sum", "sum_run", ((2, 768), (0, 1), True, "float32")),
# float - int32:[768] - [1] = float:[1]
("042_sum", "sum_run", ((768, 1), (0,), False, "float32")),
# float - int32:[64, 128, 1] - [1] = float:[64, 128]
("043_sum", "sum_run", ((64, 128, 1), (2,), False, "float32")),
# float - int32:[64, 128, 768] - [1] = float:[64, 128]
("044_sum", "sum_run", ((64, 128, 768), (2,), False, "float32")),
# float - int32:[64, 2] - [] = float:[64, 1]
("045_sum", "sum_run", ((64, 2), (1,), True, "float32")),
# float - int32:[1280, 21128] - [] = float:[1280, 1]
("046_sum", "sum_run", ((1280, 21128), (1,), False, "float32")),
# float - int32:[20, 2] - [0] = float:[2]
("047_sum", "sum_run", ((20, 2), (1,), False, "float32")),
# float - int32:[2, 768] - [1] = float:[2]
("048_sum", "sum_run", ((2, 768), (1,), False, "float32")),
# float - int32:[768, 768] - [1] = float:[768]
("049_sum", "sum_run", ((768, 768), (0,), False, "float32")),
# float - int32:[32000] - [1] = float:[1]
("050_sum", "sum_run", ((32000,), (0,), False, "float32")),
# float - int32:[768, 3072] - [1] = float:[768]
("051_sum", "sum_run", ((768, 3072), (1,), False, "float32")),
# float - int32:[3072, 768] - [1] = float:[3072]
("052_sum", "sum_run", ((768, 3072), (1,), False, "float32")),
# float - int32:[33, 64] - [1] = float:[33]
("053_sum", "sum_run", ((33, 64), (1,), False, "float32")),
# float - int32:[16, 768] - [1] = float:[16]
("054_sum", "sum_run", ((16, 768), (1,), False, "float32")),
# float - int32:[32000, 768] - [1] = float:[32000]
("055_sum", "sum_run", ((32000, 768), (1,), False, "float32")),
# StridedSlice OP
# int32 - int32 - int32 - int32:[1] - [1] - [1] - [1] = int32:[0]
("strided_slice_001_fp32", "strided_slice_run",
((1,), [0, ], [0, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[2] - [1] - [1] - [1] = int32:[1]
("strided_slice_002_fp32", "strided_slice_run",
((2,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
("strided_slice_003_fp32", "strided_slice_run",
((2,), [1, ], [2, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[1] - [1] - [1] - [1] = int32:[1]
("strided_slice_004_fp32", "strided_slice_run",
((1,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32:[64, 128, 1024] - [3] - [3] - [3] = float:[64, 1, 1024]
("strided_slice_005_fp32", "strided_slice_run",
((64, 128, 1024), [0, 0, 0], [64, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32:[8, 128, 1024] - [3] - [3] - [3] = float:[8, 1, 1024]
("strided_slice_006_fp32", "strided_slice_run",
((8, 128, 1024), [0, 0, 0], [8, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[2] - [1] - [1] - [1] = int32:[]
("strided_slice_007_fp32", "strided_slice_run",
((2,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32:[64, 128, 768] - [3] - [3] - [3] = float:[64, 1, 768]
("strided_slice_008_fp32", "strided_slice_run",
((64, 128, 768), [0, 0, 0], [64, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
("strided_slice_009_fp32", "strided_slice_run",
((64, 128, 768), [0, 1, 0], [64, 2, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
("strided_slice_010_fp32", "strided_slice_run",
((64, 128, 768), [0, 2, 0], [64, 3, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[2] - [1] - [1] - [1] = int32:[1]
("strided_slice_011_fp32", "strided_slice_run",
((2,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[1] - [1] - [1] - [1] = int32:[0]
("strided_slice_012_fp32", "strided_slice_run",
((1,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[1] - [1] - [1] - [1] = int32:[1]
("strided_slice_013_fp32", "strided_slice_run",
((1,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# int32 - int32 - int32 - int32:[2] - [1] - [1] - [1] = int32:[]
("strided_slice_014_fp32", "strided_slice_run",
((2,), [0, ], [1, ], [1, ], 0, 0, 0, 0, 0, "float32")),
# StridedSliceGrad OP
# int32 - int32 - int32 - int32 - float:[3] - [3] - [3] - [3] - [64, 1, 1024] = float:[64, 128, 1024]
("strided_slice_grad_dim3_int32_001", "strided_slice_grad_run",
[(64, 128, 1024), [0, 0, 0], [64, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (64, 1, 1024), "int32"]),
# int32 - int32 - int32 - int32 - float:[3] - [3] - [3] - [3] - [64, 1, 768] = float:[64, 128, 768]
("strided_slice_grad_dim3_int32_002", "strided_slice_grad_run",
[(64, 128, 768), [0, 0, 0], [64, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (64, 1, 768), "int32"]),
# float - int32 - int32 - int32 - float:[3] - [3] - [3] - [3] - [3] - [1, 1, 768] = float:[1, 128, 768]
("strided_slice_grad_dim3_int32_003", "strided_slice_grad_run",
[(1, 128, 768), [0, 0, 0], [1, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (1, 1, 768), "int32"]),
# float - int32 - int32 - int32 - float:[3] - [3] - [3] - [3] - [3] - [1, 128, 768] = float:[1, 128, 768]
("strided_slice_grad_dim3_int32_004", "strided_slice_grad_run",
[(1, 1, 768), [0, 0, 0], [1, 128, 768], [1, 1, 1], 0, 0, 0, 0, 0, (1, 1, 768), "int32"]),
# Tanh OP
# float:[1280, 1024] = float:[1280, 1024]
('tanh_001_1280_1024_fp32', "tanh_run", ((1280, 1024), 'float32')),
# float:[8, 1024] = float:[8, 1024]
('tanh_002_8_1024_fp32', "tanh_run", ((8, 1024), 'float32')),
# float:[64, 1024] = float:[64, 1024]
('tanh_003_64_1024_fp32', "tanh_run", ((64, 1024), 'float32')),
# float:[1024, 4096] = float:[1024, 4096]
('tanh_004_1024_4096_fp32', "tanh_run", ((1024, 4096), 'float32')),
# float:[8192, 4096] = float:[8192, 4096]
('tanh_005_8192_4096_fp32', "tanh_run", ((8192, 4096), 'float32')),
# float:[160, 1024] = float:[160, 1024]
('tanh_006_160_1024_fp32', "tanh_run", ((160, 1024), 'float32')),
# float:[64, 768] = float:[64, 768]
('tanh_007_64_768_fp32', "tanh_run", ((64, 768), 'float32')),
# float:[1280, 768] = float:[1280, 768]
('tanh_008_1280_768_fp32', "tanh_run", ((1280, 768), 'float32')),
# half:[8192, 3072] = half:[8192, 3072]
('tanh_009_8192_3072_fp32', "tanh_run", ((8192, 3072), 'float16')),
# float:[1, 768] = float:[1, 768]
('tanh_010_1_768_fp32', "tanh_run", ((1, 768), 'float32')),
# TanhGrad op
# float:[1280, 1024] = float:[1280, 1024]
("tanh_grad_001_fp32", "tanh_grad_run", ([1280, 1024], "float32")),
# float:[8, 1024] = float:[8, 1024]
("tanh_grad_002_fp32", "tanh_grad_run", ([8, 1024], "float32")),
# float:[64, 1024] = float:[64, 1024]
("tanh_grad_003_fp32", "tanh_grad_run", ([64, 1024], "float32")),
# float:[1024, 4096] = float:[1024, 4096]
("tanh_grad_004_fp32", "tanh_grad_run", ([1024, 4096], "float32")),
# float:[8192, 4096] = float:[8192, 4096]
("tanh_grad_005_fp32", "tanh_grad_run", ([8192, 4096], "float32")),
# float:[160, 1024] = float:[160, 1024]
("tanh_grad_006_fp32", "tanh_grad_run", ([160, 1024], "float32")),
# half - half:[8192, 3072] - [8192, 3072] = half:[8192, 3072]
("tanh_grad_007_fp32", "tanh_grad_run", ([8192, 3072], "float16")),
# float - float:[1280, 768] - [1280, 768] = float:[1280, 768]
("tanh_grad_008_fp32", "tanh_grad_run", ([1280, 768], "float32")),
# float - float:[64, 768] - [64, 768] = float:[64, 768]
("tanh_grad_009_fp32", "tanh_grad_run", ([64, 768], "float32")),
# float - float:[1, 768] - [1, 768] = float:[1, 768]
("tanh_grad_010_fp32", "tanh_grad_run", ([1, 768], "float32")),
# RESHAPE OP
# float - int32:[] - [1] = float:[1]
("reshape_001", "reshape_run", [(1,), (1,), "float32"]),
# float - int32:[8192] - [2] = float:[8192, 1]
("reshape_002", "reshape_run", [(8192,), (8192, 1), "float32"]),
("reshape_003", "reshape_run", [(8192, 1), (8192,), "float32"]),
# int32 - int32:[8, 128] - [1] = int32:[1024]
("reshape_004", "reshape_run", [(8, 128), (1024,), "int32"]),
("reshape_005", "reshape_run", [(1024,), (8, 128), "int32"]),
# int32 - int32:[64, 1] - [1] = int32:[64]
("reshape_006", "reshape_run", [(64, 1), (64,), "int32"]),
("reshape_007", "reshape_run", [(64,), (64, 1), "int32"]),
# int32 - int32:[64, 128, 1] - [1] = int32:[8192]
("reshape_008", "reshape_run", [(64, 128, 1), (8192,), "int32"]),
("reshape_009", "reshape_run", [(8192,), (64, 128, 1), "int32"]),
# float - int32:[8192, 1024] - [4] = float:[64, 128, 16, 64]
("reshape_010", "reshape_run", [(8192, 1024), (64, 128, 16, 64), "float32"]),
("reshape_011", "reshape_run", [(64, 128, 16, 64), (8192, 1024), "float32"]),
# float - int32:[8, 128, 1024] - [2] = float:[1024, 1024]
("reshape_012", "reshape_run", [(8, 128, 1024), (1024, 1024), "float32"]),
("reshape_013", "reshape_run", [(1024, 1024), (8, 128, 1024), "float32"]),
# string - int32:[] - [1] = string:[1]
# float - int32:[64, 128, 1024] - [2] = float:[8192, 1024]
("reshape_015", "reshape_run", [(64, 128, 1024), (8192, 1024), "float32"]),
("reshape_016", "reshape_run", [(8192, 1024), (64, 128, 1024), "float32"]),
# float - int32:[64, 20] - [1] = float:[1280]
("reshape_017", "reshape_run", [(64, 20), (1280,), "float32"]),
("reshape_018", "reshape_run", [(1280,), (64, 20), "float32"]),
# float - int32:[8, 128, 16, 64] - [2] = float:[1024, 1024]
("reshape_019", "reshape_run", [(8, 128, 16, 64), (1024, 1024), "float32"]),
("reshape_020", "reshape_run", [(1024, 1024), (8, 128, 16, 64), "float32"]),
# int32 - int32:[8, 20] - [1] = int32:[160]
("reshape_021", "reshape_run", [(8, 20), (160,), "int32"]),
("reshape_022", "reshape_run", [(160,), (8, 20), "int32"]),
# float - int32:[8, 20] - [1] = float:[160]
("reshape_023", "reshape_run", [(8, 20), (160,), "float32"]),
("reshape_024", "reshape_run", [(160,), (8, 20), "float32"]),
# float - int32:[64, 128] - [3] = float:[64, 128, 1]
("reshape_025", "reshape_run", [(64, 128), (64, 128, 1), "float32"]),
("reshape_026", "reshape_run", [(64, 128, 1), (64, 128), "float32"]),
# float - int32:[128, 1024] - [3] = float:[1, 128, 1024]
("reshape_027", "reshape_run", [(128, 1024), (1, 128, 1024), "float32"]),
("reshape_028", "reshape_run", [(1, 128, 1024), (128, 1024), "float32"]),
# int32 - int32:[8, 1] - [1] = int32:[8]
("reshape_029", "reshape_run", [(8, 1), (8,), "float32"]),
("reshape_030", "reshape_run", [(8,), (8, 1), "float32"]),
# int32 - int32:[64, 128] - [1] = int32:[8192]
("reshape_031", "reshape_run", [(64, 128), (8192,), "int32"]),
("reshape_032", "reshape_run", [(8192,), (64, 128), "int32"]),
# int32 - int32:[8, 128, 1] - [1] = int32:[1024]
("reshape_033", "reshape_run", [(8, 128, 1), (1024,), "int32"]),
("reshape_034", "reshape_run", [(1024,), (8, 128, 1), "int32"]),
# int32 - int32:[64, 20] - [1] = int32:[1280]
("reshape_035", "reshape_run", [(64, 20), (1280,), "int32"]),
("reshape_036", "reshape_run", [(1280,), (64, 20), "int32"]),
# float - int32:[64, 128, 16, 64] - [2] = float:[8192, 1024]
("reshape_037", "reshape_run", [(64, 128, 16, 64), (8192, 1024), "float32"]),
("reshape_038", "reshape_run", [(8192, 1024), (64, 128, 16, 64), "float32"]),
# float - int32:[1024, 1024] - [4] = float:[8, 128, 16, 64]
("reshape_039", "reshape_run", [(1024, 1024), (8, 128, 16, 64), "float32"]),
("reshape_040", "reshape_run", [(8, 128, 16, 64), (1024, 1024), "float32"]),
# int32 - int32:[8, 128] - [3] = int32:[8, 1, 128]
("reshape_041", "reshape_run", [(8, 128), (8, 1, 128), "int32"]),
("reshape_042", "reshape_run", [(8, 1, 128), (8, 128), "int32"]),
# int32 - int32:[2] - [2] = int32:[2, 1]
("reshape_043", "reshape_run", [(2,), (2, 1), "int32"]),
("reshape_044", "reshape_run", [(2, 1), (2,), "int32"]),
# int32 - int32:[64, 128] - [3] = int32:[64, 1, 128]
("reshape_045", "reshape_run", [(64, 128), (64, 1, 128), "int32"]),
("reshape_046", "reshape_run", [(64, 1, 128), (64, 128), "int32"]),
# float - int32:[1280] - [2] = float:[1280, 1]
("reshape_047", "reshape_run", [(1280,), (1280, 1), "float32"]),
("reshape_048", "reshape_run", [(1280, 1), (1280,), "float32"]),
# float - int32:[1024, 1024] - [3] = float:[8, 128, 1024]
("reshape_049", "reshape_run", [(1024, 1024), (8, 128, 1024), "float32"]),
("reshape_050", "reshape_run", [(8, 128, 1024), (1024, 1024), "float32"]),
# float - int32:[8192, 1024] - [3] = float:[64, 128, 1024]
("reshape_051", "reshape_run", [(8192, 1024), (64, 128, 1024), "float32"]),
("reshape_052", "reshape_run", [(64, 128, 1024), (8192, 1024), "float32"]),
# float - int32:[64, 1024] - [3] = float:[64, 1, 1024]
("reshape_053", "reshape_run", [(64, 1024), (64, 1, 1024), "float32"]),
("reshape_054", "reshape_run", [(64, 1, 1024), (64, 1024), "float32"]),
# half - int32:[128, 768, 128] - [4] = half:[128, 64, 12, 128]
("reshape_055", "reshape_run", [(128, 768, 128), (128, 64, 12, 128), "float16"]),
("reshape_056", "reshape_run", [(128, 64, 12, 128), (128, 768, 128), "float16"]),
# int32 - int32:[64, 1] - [1] = int32:[64]
("reshape_057", "reshape_run", [(64, 1), (64,), "float16"]),
("reshape_058", "reshape_run", [(64,), (64, 1), "float16"]),
# float - int32:[128, 128, 64] - [2] = float:[16384, 64]
("reshape_059", "reshape_run", [(128, 128, 64), (16384, 64), "float16"]),
("reshape_060", "reshape_run", [(16384, 64), (128, 128, 64), "float16"]),
# half - int32:[8192, 768] - [3] = half:[64, 128, 768]
("reshape_061", "reshape_run", [(8192, 768), (64, 128, 768), "float16"]),
("reshape_062", "reshape_run", [(64, 128, 768), (8192, 768), "float16"]),
# # float - int32:[8192, 768] - [3] = float:[64, 128, 768]
("reshape_063", "reshape_run", [(8192, 768), (64, 128, 768), "float32"]),
("reshape_064", "reshape_run", [(64, 128, 768), (8192, 768), "float32"]),
# # half - int32:[128, 64, 12, 128] - [3] = half:[128, 768, 128]
("reshape_065", "reshape_run", [(128, 64, 12, 128), (128, 768, 128), "float16"]),
("reshape_066", "reshape_run", [(128, 768, 128), (128, 64, 12, 128), "float16"]),
# # half - int32:[128, 768, 64] - [4] = half:[128, 64, 12, 64]
("reshape_067", "reshape_run", [(128, 768, 64), (128, 64, 12, 64), "float16"]),
("reshape_068", "reshape_run", [(128, 64, 12, 64), (128, 768, 64), "float16"]),
# float - int32:[64, 20] - [1] = float:[1280]
("reshape_069", "reshape_run", [(64, 20), (1280,), "float32"]),
("reshape_070", "reshape_run", [(1280,), (64, 20), "float32"]),
# int32 - int32:[64, 20] - [1] = int32:[1280]
("reshape_071", "reshape_run", [(64, 20), (1280,), "int32"]),
("reshape_072", "reshape_run", [(1280,), (64, 20), "int32"]),
# int32 - int32:[64, 128] - [3] = int32:[64, 1, 128]
("reshape_073", "reshape_run", [(64, 128), (64, 1, 128), "int32"]),
("reshape_074", "reshape_run", [(64, 1, 128), (64, 128), "int32"]),
# int32 - int32:[64, 128, 1] - [1] = int32:[8192]
("reshape_075", "reshape_run", [(64, 128, 1), (8192,), "int32"]),
("reshape_076", "reshape_run", [(8192,), (64, 128, 1), "int32"]),
# half - int32:[8192] - [2] = half:[8192, 1]
("reshape_077", "reshape_run", [(8192,), (8192, 1), "float16"]),
("reshape_078", "reshape_run", [(8192, 1), (8192,), "float16"]),
# float - int32:[16384, 64] - [3] = float:[128, 128, 64]
("reshape_079", "reshape_run", [(16384, 64), (128, 128, 64), "float32"]),
("reshape_080", "reshape_run", [(128, 128, 64), (16384, 64), "float32"]),
# string - int32:[] - [1] = string:[1]
# float - int32:[64, 768] - [3] = float:[64, 1, 768]
("reshape_083", "reshape_run", [(64, 768), (64, 1, 768), "float32"]),
("reshape_084", "reshape_run", [(64, 1, 768), (64, 768), "float32"]),
# float - int32:[1280] - [2] = float:[1280, 1]
("reshape_085", "reshape_run", [(1280,), (1280, 1), "float32"]),
("reshape_086", "reshape_run", [(1280, 1), (1280,), "float32"]),
# half - int32:[64, 128, 12, 64] - [2] = half:[8192, 768]
("reshape_087", "reshape_run", [(64, 128, 12, 64), (8192, 768), "float16"]),
("reshape_088", "reshape_run", [(8192, 768), (64, 128, 12, 64), "float16"]),
# float - int32:[] - [1] = float:[1]
("reshape_089", "reshape_run", [(1,), (1,), "float32"]),
("reshape_090", "reshape_run", [(1,), (1,), "float32"]),
# float - int32:[64, 128, 768] - [2] = float:[8192, 768]
("reshape_091", "reshape_run", [(64, 128, 768), (8192, 768), "float32"]),
("reshape_092", "reshape_run", [(8192, 768), (64, 128, 768), "float32"]),
# # half - int32:[128, 64, 12, 64] - [3] = half:[128, 768, 64]
("reshape_093", "reshape_run", [(128, 64, 12, 64), (128, 768, 64), "float16"]),
("reshape_094", "reshape_run", [(128, 768, 64), (128, 64, 12, 64), "float16"]),
# int32 - int32:[16384] - [2] = int32:[128, 128]
("reshape_095", "reshape_run", [(16384,), (128, 128), "int32"]),
("reshape_096", "reshape_run", [(128, 128), (16384,), "int32"]),
# float - int32:[64, 128] - [3] = float:[64, 128, 1]
("reshape_097", "reshape_run", [(64, 128), (64, 128, 1), "float32"]),
("reshape_098", "reshape_run", [(64, 128, 1), (64, 128), "float32"]),
# int32 - int32:[64, 128] - [1] = int32:[8192]
("reshape_099", "reshape_run", [(64, 128), (8192,), "int32"]),
("reshape_100", "reshape_run", [(8192,), (64, 128), "int32"]),
# half - int32:[8192, 768] - [4] = half:[64, 128, 12, 64]
("reshape_101", "reshape_run", [(64, 128), (8192,), "float16"]),
("reshape_102", "reshape_run", [(8192,), (64, 128), "float16"]),
# int32 - int32:[128] - [1] = int32:[128]
("reshape_103", "reshape_run", [(128,), (128,), "float16"]),
("reshape_104", "reshape_run", [(128,), (128,), "float16"]),
# float - int32:[1, 128, 768] - [3] = float:[1, 128, 768]
("reshape_105", "reshape_run", [(1, 128, 768), (1, 128, 768), "float32"]),
("reshape_106", "reshape_run", [(1, 128, 768), (1, 128, 768), "float32"]),
# float - int32:[1, 128, 768] - [2] = float:[128, 768]
("reshape_107", "reshape_run", [(1, 128, 768), (128, 768), "float32"]),
("reshape_108", "reshape_run", [(128, 768), (1, 128, 768), "float32"]),
# float - int32:[128, 768] - [2] = float:[128, 768]
("reshape_109", "reshape_run", [(128, 768), (128, 768), "float32"]),
("reshape_110", "reshape_run", [(128, 768), (128, 768), "float32"]),
# float - int32:[128, 768] - [4] = float:[1, 128, 12, 64]
("reshape_111", "reshape_run", [(128, 768), (1, 128, 12, 64), "float32"]),
("reshape_112", "reshape_run", [(1, 128, 12, 64), (128, 768), "float32"]),
# float - int32:[128, 768] - [4] = float:[1, 128, 12, 64]
("reshape_113", "reshape_run", [(128, 768), (1, 128, 12, 64), "float32"]),
("reshape_114", "reshape_run", [(1, 128, 12, 64), (128, 768), "float32"]),
# float - int32:[128] - [3] = float:[1, 1, 128]
("reshape_115", "reshape_run", [(128,), (1, 1, 128), "float32"]),
("reshape_116", "reshape_run", [(1, 1, 128), (128,), "float32"]),
# float - int32:[1, 128, 12, 64] - [2] = float:[128, 768]
("reshape_117", "reshape_run", [(1, 128, 12, 64), (128, 768), "float32"]),
("reshape_118", "reshape_run", [(128, 768), (1, 128, 12, 64), "float32"]),
# float - int32:[128, 768] - [3] = float:[1, 128, 768]
("reshape_119", "reshape_run", [(128, 768), (1, 128, 768), "float32"]),
("reshape_120", "reshape_run", [(1, 128, 768), (128, 768), "float32"]),
# float - int32:[20] - [] = float:[20]
("reshape_121", "reshape_run", [(20,), (20,), "float32"]),
# float - int32:[1] - [] = float:[1]
("reshape_122", "reshape_run", [(1,), (1,), "float32"]),
# float - int32:[20] - [2] = float:[20, 1]
("reshape_123", "reshape_run", [(20,), (20, 1), "float32"]),
("reshape_124", "reshape_run", [(20, 1), (20,), "float32"]),
# float - int32:[1, 2] - [2] = float:[1, 2]
("reshape_125", "reshape_run", [(1, 2), (1, 2), "float32"]),
("reshape_126", "reshape_run", [(1, 2), (1, 2), "float32"]),
# float - int32:[1] - [2] = float:[1, 1]
("reshape_127", "reshape_run", [(1,), (1, 1), "float32"]),
("reshape_128", "reshape_run", [(1, 1), (1,), "float32"]),
# float - int32:[1, 768] - [3] = float:[1, 1, 768]
("reshape_129", "reshape_run", [(1, 768), (1, 1, 768), "float32"]),
("reshape_130", "reshape_run", [(1, 1, 768), (1, 768), "float32"]),
# half - int32:[64, 128, 768] - [2] = half:[8192, 768]
("reshape_131", "reshape_run", [(64, 128, 768), (8192, 768), "float16"]),
("reshape_132", "reshape_run", [(8192, 768), (64, 128, 768), "float16"]),
# softmax OP
# float:[64, 16, 128, 128] = float:[64, 16, 128, 128]
("softmax_001", "softmax_run", ((64, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[8, 16, 128, 128] = float:[8, 16, 128, 128]
("softmax_002", "softmax_run", ((8, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[20, 32000] = float:[20, 32000]
("softmax_003", "softmax_run", ((20, 32000), "float32", -1, "cce_softmax_fp32")),
# float:[1, 12, 128, 128] = float:[1, 12, 128,128]
("softmax_004", "softmax_run", ((1, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# pow OP
# float - float:[1280, 768] - [] = float:[1280, 768]
("pow_001", "pow_run", ((1280, 768), (1,), 'float32')),
# float - float:[] - [] = float:[]
("pow_002", "pow_run", ((1,), (1,), 'float32')),
# half - half:[8192, 3072] - [] = half:[8192, 3072]
("pow_003", "pow_run", ((8192, 3072), (8192, 3072), 'float16')),
# reciprocal OP
# float - float:[160, 1024] = float:[160, 1024]
("reciprocal_001", "reciprocal_run", ((160, 1024), 'float32'),),
# float - float:[] = float:[]
("reciprocal_002", "reciprocal_run", ((1,), 'float32'),),
# bert联调base新增shape
# Tile OP
# float-int32:[10240, 1]-[2]=float:[10240, 21128]
("tile_001", "tile_run", ((10240, 1), "float32", (1, 21128))),
# float-int32:[1024, 1]-[2]=float:[1024, 2]
("tile_002", "tile_run", ((1024, 1), "float32", (1, 2))),
# float-int32:[1, 1]-[2]=float:[1, 2]
("tile_003", "tile_run", ((1, 1), "float32", (2,))),
# float-int32:[1]-[1]=float:[1]
("tile_004", "tile_run", ((1,), "float32", (1,))),
# float-int32:[1]-[1]=float:[1024]
("tile_005", "tile_run", ((1,), "float32", (1024,))),
# float-int32:[1]-[1]=float:[10240]
("tile_006", "tile_run", ((1,), "float32", (10240,))),
# float-int32:[1]-[1]=float:[128]
("tile_007", "tile_run", ((1,), "float32", (128,))),
# float-int32:[1]-[1]=float:[1280]
("tile_008", "tile_run", ((1,), "float32", (1280,))),
# float-int32:[1]-[1]=float:[16]
("tile_009", "tile_run", ((1,), "float32", (16,))),
# float-int32:[1]-[1]=float:[160]
("tile_010", "tile_run", ((1,), "float32", (160,))),
# float-int32:[1]-[1]=float:[2]
("tile_011", "tile_run", ((1,), "float32", (2,))),
# float-int32:[1]-[1]=float:[20]
("tile_012", "tile_run", ((1,), "float32", (20,))),
# float-int32:[1]-[1]=float:[20480]
("tile_013", "tile_run", ((1,), "float32", (20480,))),
# float-int32:[1]-[1]=float:[256]
("tile_014", "tile_run", ((1,), "float32", (256,))),
# float-int32:[1]-[1]=float:[2560]
("tile_015", "tile_run", ((1,), "float32", (2560,))),
# float-int32:[1]-[1]=float:[32]
("tile_016", "tile_run", ((1,), "float32", (32,))),
# float-int32:[1]-[1]=float:[320]
("tile_017", "tile_run", ((1,), "float32", (320,))),
# float-int32:[1]-[1]=float:[4]
("tile_018", "tile_run", ((1,), "float32", (4,))),
# float-int32:[1]-[1]=float:[40]
("tile_019", "tile_run", ((1,), "float32", (40,))),
# float-int32:[1]-[1]=float:[512]
("tile_020", "tile_run", ((1,), "float32", (512,))),
# float-int32:[1]-[1]=float:[5120]
("tile_021", "tile_run", ((1,), "float32", (5120,))),
# float-int32:[1]-[1]=float:[64]
("tile_022", "tile_run", ((1,), "float32", (64,))),
# float-int32:[1]-[1]=float:[640]
("tile_023", "tile_run", ((1,), "float32", (640,))),
# float-int32:[1]-[1]=float:[8]
("tile_024", "tile_run", ((1,), "float32", (8,))),
# float-int32:[1]-[1]=float:[80]
("tile_025", "tile_run", ((1,), "float32", (80,))),
# float-int32:[1280, 1]-[2]=float:[1280, 21128]
("tile_026", "tile_run", ((1280, 1), "float32", (1, 21128))),
# float-int32:[128, 1]-[2]=float:[128, 2]
("tile_027", "tile_run", ((128, 1), "float32", (1, 2))),
# float-int32:[160, 1]-[2]=float:[160, 21128]
("tile_028", "tile_run", ((160, 1), "float32", (1, 21128))),
# float-int32:[16, 1]-[2]=float:[16, 2]
("tile_029", "tile_run", ((16, 1), "float32", (1, 2))),
# float-int32:[20, 1]-[2]=float:[20, 21128]
("tile_030", "tile_run", ((20, 1), "float32", (1, 21128))),
# float-int32:[20480, 1]-[2]=float:[20480, 21128]
("tile_031", "tile_run", ((20480, 1), "float32", (1, 21128))),
# float-int32:[2, 1]-[2]=float:[2, 2]
("tile_032", "tile_run", ((2, 1), "float32", (1, 2))),
# float-int32:[2560, 1]-[2]=float:[2560, 21128]
("tile_033", "tile_run", ((2560, 1), "float32", (1, 21128))),
# float-int32:[256, 1]-[2]=float:[256, 2]
("tile_034", "tile_run", ((256, 1), "float32", (1, 2))),
# float-int32:[320, 1]-[2]=float:[320, 21128]
("tile_035", "tile_run", ((320, 1), "float32", (1, 21128))),
# float-int32:[32, 1]-[2]=float:[32, 2]
("tile_036", "tile_run", ((32, 1), "float32", (1, 2))),
# float-int32:[40, 1]-[2]=float:[40, 21128]
("tile_037", "tile_run", ((40, 1), "float32", (1, 21128))),
# float-int32:[4, 1]-[2]=float:[4, 2]
("tile_038", "tile_run", ((4, 1), "float32", (1, 2))),
# float-int32:[5120, 1]-[2]=float:[5120, 21128]
("tile_039", "tile_run", ((5120, 1), "float32", (1, 21128))),
# float-int32:[512, 1]-[2]=float:[512, 2]
("tile_040", "tile_run", ((512, 1), "float32", (1, 2))),
# float-int32:[640, 1]-[2]=float:[640, 21128]
("tile_041", "tile_run", ((640, 1), "float32", (1, 21128))),
# float-int32:[64, 1]-[2]=float:[64, 2]
("tile_042", "tile_run", ((64, 1), "float32", (1, 2))),
# float-int32:[80, 1]-[2]=float:[80, 21128]
("tile_043", "tile_run", ((80, 1), "float32", (1, 21128))),
# float-int32:[8, 1]-[2]=float:[8, 2]
("tile_044", "tile_run", ((8, 1), "float32", (1, 2))),
# int32 - int32:[128] - [1] = int32:[16384]
("tile_045", "tile_run", ((128,), "int32", (128,))),
# Transpose OP
# float-int32:[10240, 768]-[2]=float:[10240, 768]
("transpose_0001", "transpose_run", ((10240, 768), (0, 1,), "float32")),
# float-int32:[1024, 12, 128, 128]-[4]=float:[128, 1024, 12, 128]
("transpose_0002", "transpose_run", ((1024, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[1024, 12, 128, 64]-[4]=float:[1024, 128, 12, 64]
("transpose_0003", "transpose_run", ((1024, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1024, 12, 128, 64]-[4]=float:[128, 1024, 12, 64]
("transpose_0004", "transpose_run", ((1024, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[1024, 128, 12, 64]-[4]=float:[1024, 12, 128, 64]
("transpose_0005", "transpose_run", ((1024, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1024, 768]-[2]=float:[1024, 768]
("transpose_0006", "transpose_run", ((1024, 768), (0, 1,), "float32")),
# float-int32:[1, 12, 128, 128]-[4]=float:[128, 1, 12, 128]
("transpose_0007", "transpose_run", ((1, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[1, 12, 128, 64]-[4]=float:[1, 128, 12, 64]
("transpose_0008", "transpose_run", ((1, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1, 12, 128, 64]-[4]=float:[128, 1, 12, 64]
("transpose_0009", "transpose_run", ((1, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[1, 128, 12, 64]-[4]=float:[1, 12, 128, 64]
("transpose_0010", "transpose_run", ((1, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1280, 768]-[2]=float:[1280, 768]
("transpose_0011", "transpose_run", ((1280, 768), (0, 1,), "float32")),
# float-int32:[128, 1024, 12, 128]-[4]=float:[1024, 12, 128, 128]
("transpose_0012", "transpose_run", ((128, 1024, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 1024, 12, 64]-[4]=float:[1024, 12, 128, 64]
("transpose_0013", "transpose_run", ((128, 1024, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 1, 12, 128]-[4]=float:[1, 12, 128, 128]
("transpose_0014", "transpose_run", ((128, 1, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 1, 12, 64]-[4]=float:[1, 12, 128, 64]
("transpose_0015", "transpose_run", ((128, 1, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 12, 128, 128]-[4]=float:[128, 128, 12, 128]
("transpose_0016", "transpose_run", ((128, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[128, 12, 128, 64]-[4]=float:[128, 128, 12, 64]
("transpose_0017", "transpose_run", ((128, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[128, 12, 128, 64]-[4]=float:[128, 128, 12, 64]
("transpose_0018", "transpose_run", ((128, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[128, 128, 12, 128]-[4]=float:[128, 12, 128, 128]
("transpose_0019", "transpose_run", ((128, 128, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 128, 12, 64]-[4]=float:[128, 12, 128, 64]
("transpose_0020", "transpose_run", ((128, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[128, 128, 12, 64]-[4]=float:[128, 12, 128, 64]
("transpose_0021", "transpose_run", ((128, 128, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 128, 64]-[3]=float:[128, 128, 64]
("transpose_0022", "transpose_run", ((128, 128, 64), (0, 1, 2,), "float32")),
# float-int32:[128, 16, 12, 128]-[4]=float:[16, 12, 128, 128]
("transpose_0023", "transpose_run", ((128, 16, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 16, 12, 64]-[4]=float:[16, 12, 128, 64]
("transpose_0024", "transpose_run", ((128, 16, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 2, 12, 128]-[4]=float:[2, 12, 128, 128]
("transpose_0025", "transpose_run", ((128, 2, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 2, 12, 64]-[4]=float:[2, 12, 128, 64]
("transpose_0026", "transpose_run", ((128, 2, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 256, 12, 128]-[4]=float:[256, 12, 128, 128]
("transpose_0027", "transpose_run", ((128, 256, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 256, 12, 64]-[4]=float:[256, 12, 128, 64]
("transpose_0028", "transpose_run", ((128, 256, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 32, 12, 128]-[4]=float:[32, 12, 128, 128]
("transpose_0029", "transpose_run", ((128, 32, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 32, 12, 64]-[4]=float:[32, 12, 128, 64]
("transpose_0030", "transpose_run", ((128, 32, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 4, 12, 128]-[4]=float:[4, 12, 128, 128]
("transpose_0031", "transpose_run", ((128, 4, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 4, 12, 64]-[4]=float:[4, 12, 128, 64]
("transpose_0032", "transpose_run", ((128, 4, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 512, 12, 128]-[4]=float:[512, 12, 128, 128]
("transpose_0033", "transpose_run", ((128, 512, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 512, 12, 64]-[4]=float:[512, 12, 128, 64]
("transpose_0034", "transpose_run", ((128, 512, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 64, 12, 128]-[4]=float:[64, 12, 128, 128]
("transpose_0035", "transpose_run", ((128, 64, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 64, 12, 64]-[4]=float:[64, 12, 128, 64]
("transpose_0036", "transpose_run", ((128, 64, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 768]-[2]=float:[128, 768]
("transpose_0037", "transpose_run", ((128, 768), (0, 1,), "float32")),
# float-int32:[128, 8, 12, 128]-[4]=float:[8, 12, 128, 128]
("transpose_0038", "transpose_run", ((128, 8, 12, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 8, 12, 64]-[4]=float:[8, 12, 128, 64]
("transpose_0039", "transpose_run", ((128, 8, 12, 64), (1, 2, 0, 3), "float32")),
# float-int32:[131072, 768]-[2]=float:[131072, 768]
("transpose_0040", "transpose_run", ((131072, 768), (0, 1,), "float32")),
# float-int32:[160, 768]-[2]=float:[160, 768]
("transpose_0041", "transpose_run", ((160, 768), (0, 1,), "float32")),
# float-int32:[16, 12, 128, 128]-[4]=float:[128, 16, 12, 128]
("transpose_0042", "transpose_run", ((16, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[16, 12, 128, 64]-[4]=float:[128, 16, 12, 64]
("transpose_0043", "transpose_run", ((16, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[16, 12, 128, 64]-[4]=float:[16, 128, 12, 64]
("transpose_0044", "transpose_run", ((16, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[16, 128, 12, 64]-[4]=float:[16, 12, 128, 64]
("transpose_0045", "transpose_run", ((16, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[16384, 768]-[2]=float:[16384, 768]
("transpose_0046", "transpose_run", ((16384, 768), (0, 1,), "float32")),
# float-int32:[20480, 768]-[2]=float:[20480, 768]
("transpose_0047", "transpose_run", ((20480, 768), (0, 1,), "float32")),
# float-int32:[2048, 768]-[2]=float:[2048, 768]
("transpose_0048", "transpose_run", ((2048, 768), (0, 1,), "float32")),
# float-int32:[20, 768]-[2]=float:[20, 768]
("transpose_0049", "transpose_run", ((20, 768), (0, 1,), "float32")),
# float-int32:[21128, 768]-[2]=float:[21128, 768]
("transpose_0050", "transpose_run", ((21128, 768), (0, 1,), "float32")),
# float-int32:[2, 12, 128, 128]-[4]=float:[128, 2, 12, 128]
("transpose_0051", "transpose_run", ((2, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[2, 12, 128, 64]-[4]=float:[128, 2, 12, 64]
("transpose_0052", "transpose_run", ((2, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[2, 12, 128, 64]-[4]=float:[2, 128, 12, 64]
("transpose_0053", "transpose_run", ((2, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[2, 128, 12, 64]-[4]=float:[2, 12, 128, 64]
("transpose_0054", "transpose_run", ((2, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[2560, 768]-[2]=float:[2560, 768]
("transpose_0055", "transpose_run", ((2560, 768), (0, 1,), "float32")),
# float-int32:[256, 12, 128, 128]-[4]=float:[128, 256, 12, 128]
("transpose_0056", "transpose_run", ((256, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[256, 12, 128, 64]-[4]=float:[128, 256, 12, 64]
("transpose_0057", "transpose_run", ((256, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[256, 12, 128, 64]-[4]=float:[256, 128, 12, 64]
("transpose_0058", "transpose_run", ((256, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[256, 128, 12, 64]-[4]=float:[256, 12, 128, 64]
("transpose_0059", "transpose_run", ((256, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[256, 768]-[2]=float:[256, 768]
("transpose_0060", "transpose_run", ((256, 768), (0, 1,), "float32")),
# float-int32:[2, 768]-[2]=float:[2, 768]
("transpose_0061", "transpose_run", ((2, 768), (0, 1,), "float32")),
# float-int32:[320, 768]-[2]=float:[320, 768]
("transpose_0062", "transpose_run", ((320, 768), (0, 1,), "float32")),
# float-int32:[32, 12, 128, 128]-[4]=float:[128, 32, 12, 128]
("transpose_0063", "transpose_run", ((32, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[32, 12, 128, 64]-[4]=float:[128, 32, 12, 64]
("transpose_0064", "transpose_run", ((32, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[32, 12, 128, 64]-[4]=float:[32, 128, 12, 64]
("transpose_0065", "transpose_run", ((32, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[32, 128, 12, 64]-[4]=float:[32, 12, 128, 64]
("transpose_0066", "transpose_run", ((32, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[32768, 768]-[2]=float:[32768, 768]
("transpose_0067", "transpose_run", ((32768, 768), (0, 1,), "float32")),
# float-int32:[33, 64]-[2]=float:[33, 64]
("transpose_0068", "transpose_run", ((33, 64), (0, 1,), "float32")),
# float-int32:[40, 768]-[2]=float:[40, 768]
("transpose_0069", "transpose_run", ((40, 768), (0, 1,), "float32")),
# float-int32:[4096, 768]-[2]=float:[4096, 768]
("transpose_0070", "transpose_run", ((4096, 768), (0, 1,), "float32")),
# float-int32:[4, 12, 128, 128]-[4]=float:[128, 4, 12, 128]
("transpose_0071", "transpose_run", ((4, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[4, 12, 128, 64]-[4]=float:[128, 4, 12, 64]
("transpose_0072", "transpose_run", ((4, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[4, 12, 128, 64]-[4]=float:[4, 128, 12, 64]
("transpose_0073", "transpose_run", ((4, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[4, 128, 12, 64]-[4]=float:[4, 12, 128, 64]
("transpose_0074", "transpose_run", ((4, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[5120, 768]-[2]=float:[5120, 768]
("transpose_0075", "transpose_run", ((5120, 768), (0, 1,), "float32")),
# float-int32:[512, 12, 128, 128]-[4]=float:[128, 512, 12, 128]
("transpose_0076", "transpose_run", ((512, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[512, 12, 128, 64]-[4]=float:[128, 512, 12, 64]
("transpose_0077", "transpose_run", ((512, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[512, 12, 128, 64]-[4]=float:[512, 128, 12, 64]
("transpose_0078", "transpose_run", ((512, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[512, 128, 12, 64]-[4]=float:[512, 12, 128, 64]
("transpose_0079", "transpose_run", ((512, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[512, 768]-[2]=float:[512, 768]
("transpose_0080", "transpose_run", ((512, 768), (0, 1,), "float32")),
# float-int32:[640, 768]-[2]=float:[640, 768]
("transpose_0081", "transpose_run", ((640, 768), (0, 1,), "float32")),
# float-int32:[64, 12, 128, 128]-[4]=float:[128, 64, 12, 128]
("transpose_0082", "transpose_run", ((64, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[64, 12, 128, 64]-[4]=float:[128, 64, 12, 64]
("transpose_0083", "transpose_run", ((64, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[64, 12, 128, 64]-[4]=float:[64, 128, 12, 64]
("transpose_0084", "transpose_run", ((64, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[64, 128, 12, 64]-[4]=float:[64, 12, 128, 64]
("transpose_0085", "transpose_run", ((64, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[65536, 768]-[2]=float:[65536, 768]
("transpose_0086", "transpose_run", ((65536, 768), (0, 1,), "float32")),
# float-int32:[80, 768]-[2]=float:[80, 768]
("transpose_0087", "transpose_run", ((80, 768), (0, 1,), "float32")),
# float-int32:[8, 12, 128, 128]-[4]=float:[128, 8, 12, 128]
("transpose_0088", "transpose_run", ((8, 12, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[8, 12, 128, 64]-[4]=float:[128, 8, 12, 64]
("transpose_0089", "transpose_run", ((8, 12, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[8, 12, 128, 64]-[4]=float:[8, 128, 12, 64]
("transpose_0090", "transpose_run", ((8, 12, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[8, 128, 12, 64]-[4]=float:[8, 12, 128, 64]
("transpose_0091", "transpose_run", ((8, 128, 12, 64), (0, 2, 1, 3), "float32")),
# float-int32:[8192, 768]-[2]=float:[8192, 768]
("transpose_0092", "transpose_run", ((8192, 768), (0, 1,), "float32")),
# int32 - int32:[128, 128] - [2] = int32:[128, 128]
("transpose_0093", "transpose_run", ((128, 128), (1, 0,), "int32")),
# UnsortedSegmentSum OP
# float-int32-int32:[10240, 768]-[10240]-[]=float:[65536, 768]
("unsortedsegmentsum_001", "unsortedsegmentsum_run", ([10240, 768], [10240], 65536, "float32")),
# float-int32-int32:[1024, 768]-[1024]-[]=float:[21128, 768]
("unsortedsegmentsum_002", "unsortedsegmentsum_run", ([1024, 768], [1024], 21128, "float32")),
# float-int32-int32:[1024, 768]-[1024]-[]=float:[2, 768]
("unsortedsegmentsum_003", "unsortedsegmentsum_run", ([1024, 768], [1024], 2, "float32")),
# float-int32-int32:[1280, 768]-[1280]-[]=float:[8192, 768]
("unsortedsegmentsum_004", "unsortedsegmentsum_run", ([1280, 768], [1280], 8192, "float32")),
# float-int32-int32:[128, 128, 64]-[128]-[]=float:[33, 64]
("unsortedsegmentsum_005", "unsortedsegmentsum_run", ([128, 128, 64], [128], 33, "float32")),
# float-int32-int32:[128, 768]-[128]-[]=float:[21128, 768]
("unsortedsegmentsum_006", "unsortedsegmentsum_run", ([128, 768], [128], 21128, "float32")),
# float-int32-int32:[128, 768]-[128]-[]=float:[2, 768]
("unsortedsegmentsum_007", "unsortedsegmentsum_run", ([128, 768], [128], 2, "float32")),
# float-int32-int32:[131072, 768]-[131072]-[]=float:[21128, 768]
("unsortedsegmentsum_008", "unsortedsegmentsum_run", ([131072, 768], [131072], 21128, "float32")),
# float-int32-int32:[131072, 768]-[131072]-[]=float:[2, 768]
("unsortedsegmentsum_009", "unsortedsegmentsum_run", ([131072, 768], [131072], 2, "float32")),
# float-int32-int32:[160, 768]-[160]-[]=float:[1024, 768]
("unsortedsegmentsum_010", "unsortedsegmentsum_run", ([160, 768], [160], 1024, "float32")),
# float-int32-int32:[16384, 768]-[16384]-[]=float:[21128, 768]
("unsortedsegmentsum_011", "unsortedsegmentsum_run", ([16384, 768], [16384], 21128, "float32")),
# float-int32-int32:[16384, 768]-[16384]-[]=float:[2, 768]
("unsortedsegmentsum_012", "unsortedsegmentsum_run", ([16384, 768], [16384], 2, "float32")),
# float-int32-int32:[20480, 768]-[20480]-[]=float:[131072, 768]
("unsortedsegmentsum_013", "unsortedsegmentsum_run", ([20480, 768], [20480], 131072, "float32")),
# float-int32-int32:[2048, 768]-[2048]-[]=float:[21128, 768]
("unsortedsegmentsum_014", "unsortedsegmentsum_run", ([2048, 768], [2048], 21128, "float32")),
# float-int32-int32:[2048, 768]-[2048]-[]=float:[2, 768]
("unsortedsegmentsum_015", "unsortedsegmentsum_run", ([2048, 768], [2048], 2, "float32")),
# float-int32-int32:[20, 768]-[20]-[]=float:[128, 768]
("unsortedsegmentsum_016", "unsortedsegmentsum_run", ([20, 768], [20], 128, "float32")),
# float-int32-int32:[2560, 768]-[2560]-[]=float:[16384, 768]
("unsortedsegmentsum_017", "unsortedsegmentsum_run", ([2560, 768], [2560], 16384, "float32")),
# float-int32-int32:[256, 768]-[256]-[]=float:[21128, 768]
("unsortedsegmentsum_018", "unsortedsegmentsum_run", ([256, 768], [256], 21128, "float32")),
# float-int32-int32:[256, 768]-[256]-[]=float:[2, 768]
("unsortedsegmentsum_019", "unsortedsegmentsum_run", ([256, 768], [256], 2, "float32")),
# float-int32-int32:[320, 768]-[320]-[]=float:[2048, 768]
("unsortedsegmentsum_020", "unsortedsegmentsum_run", ([320, 768], [320], 2048, "float32")),
# float-int32-int32:[32768, 768]-[32768]-[]=float:[21128, 768]
("unsortedsegmentsum_021", "unsortedsegmentsum_run", ([32768, 768], [32768], 21128, "float32")),
# float-int32-int32:[32768, 768]-[32768]-[]=float:[2, 768]
("unsortedsegmentsum_022", "unsortedsegmentsum_run", ([32768, 768], [32768], 2, "float32")),
# float-int32-int32:[40, 768]-[40]-[]=float:[256, 768]
("unsortedsegmentsum_023", "unsortedsegmentsum_run", ([40, 768], [40], 256, "float32")),
# float-int32-int32:[4096, 768]-[4096]-[]=float:[21128, 768]
("unsortedsegmentsum_024", "unsortedsegmentsum_run", ([4096, 768], [4096], 21128, "float32")),
# float-int32-int32:[4096, 768]-[4096]-[]=float:[2, 768]
("unsortedsegmentsum_025", "unsortedsegmentsum_run", ([4096, 768], [4096], 2, "float32")),
# float-int32-int32:[5120, 768]-[5120]-[]=float:[32768, 768]
("unsortedsegmentsum_026", "unsortedsegmentsum_run", ([5120, 768], [5120], 32768, "float32")),
# float-int32-int32:[512, 768]-[512]-[]=float:[21128, 768]
("unsortedsegmentsum_027", "unsortedsegmentsum_run", ([512, 768], [512], 21128, "float32")),
# float-int32-int32:[512, 768]-[512]-[]=float:[2, 768]
("unsortedsegmentsum_028", "unsortedsegmentsum_run", ([512, 768], [512], 2, "float32")),
# float-int32-int32:[640, 768]-[640]-[]=float:[4096, 768]
("unsortedsegmentsum_029", "unsortedsegmentsum_run", ([640, 768], [640], 4096, "float32")),
# float-int32-int32:[65536, 768]-[65536]-[]=float:[21128, 768]
("unsortedsegmentsum_030", "unsortedsegmentsum_run", ([65536, 768], [65536], 21128, "float32")),
# float-int32-int32:[65536, 768]-[65536]-[]=float:[2, 768]
("unsortedsegmentsum_031", "unsortedsegmentsum_run", ([65536, 768], [65536], 2, "float32")),
# float-int32-int32:[80, 768]-[80]-[]=float:[512, 768]
("unsortedsegmentsum_032", "unsortedsegmentsum_run", ([80, 768], [80], 512, "float32")),
# float-int32-int32:[8192, 768]-[8192]-[]=float:[21128, 768]
("unsortedsegmentsum_033", "unsortedsegmentsum_run", ([8192, 768], [8192], 21128, "float32")),
# float-int32-int32:[8192, 768]-[8192]-[]=float:[2, 768]
("unsortedsegmentsum_034", "unsortedsegmentsum_run", ([8192, 768], [8192], 2, "float32")),
# gelu OP
# float32:[1280, 768]=float:[1280, 768]
("gelu_001", "gelu_run", ((1280, 768), "float32")),
# float32:[160, 768]=float:[160, 768]
("gelu_002", "gelu_run", ((160, 768), "float32")),
# float32:[16384, 3072]=float:[16384, 3072]
("gelu_003", "gelu_run", ((16384, 3072), "float32")),
# float32:[2048, 3072]=float:[2048, 3072]
("gelu_004", "gelu_run", ((2048, 3072), "float32")),
# float32:[2560, 768]=float:[2560, 768]
("gelu_005", "gelu_run", ((2560, 768), "float32")),
# float32:[256, 3072]=float:[256, 3072]
("gelu_006", "gelu_run", ((256, 3072), "float32")),
# float32:[320, 768]=float:[320, 768]
("gelu_007", "gelu_run", ((320, 768), "float32")),
# float32:[40, 768]=float:[40, 768]
("gelu_008", "gelu_run", ((40, 768), "float32")),
# float32:[4096, 3072]=float:[4096, 3072]
("gelu_009", "gelu_run", ((4096, 3072), "float32")),
# float32:[512, 3072]=float:[512, 3072]
("gelu_010", "gelu_run", ((512, 3072), "float32")),
# float32:[640, 768]=float:[640, 7682]
("gelu_011", "gelu_run", ((640, 768), "float32")),
# float32:[80, 768]=float:[80, 768]
("gelu_012", "gelu_run", ((80, 768), "float32")),
# float32:[8192, 3072]=float:[8192, 3072]
("gelu_013", "gelu_run", ((8192, 3072), "float32")),
# float:[65536, 3072]=float:[65536, 3072]
("gelu_014", "gelu_run", ((65536, 3072), "float32")),
# float:[10240, 768]=float:[10240, 768]
("gelu_015", "gelu_run", ((10240, 768), "float32")),
# float:[128, 3072]=float:[128, 3072]
("gelu_016", "gelu_run", ((128, 3072), "float32")),
# float:[131072, 3072]=float:[131072, 3072]
("gelu_017", "gelu_run", ((131072, 3072), "float32")),
# float:[20480, 768]=float:[20480, 768]
("gelu_018", "gelu_run", ((20480, 768), "float32")),
# float:[20, 768]=float:[20, 768]
("gelu_019", "gelu_run", ((20, 768), "float32")),
# float:[32768, 3072]=float:[32768, 3072]
("gelu_020", "gelu_run", ((32768, 3072), "float32")),
# float:[5120, 768]=float:[5120, 768]
("gelu_021", "gelu_run", ((5120, 768), "float32")),
# gelu_grad OP
# float32:[1024, 3072] = float:[1024, 3072]
("gelu_grad_001", "gelu_grad_run", ((1024, 3072), "float32")),
# float32:[1280, 768]=float:[1280, 768]
("gelu_grad_002", "gelu_grad_run", ((1280, 768), "float32")),
# float32:[160, 768]=float:[160, 768]
("gelu_grad_003", "gelu_grad_run", ((160, 768), "float32")),
# float32:[16384, 3072]=float:[16384, 3072]
("gelu_grad_004", "gelu_grad_run", ((16384, 3072), "float32")),
# float32:[2048, 3072]=float:[2048, 3072]
("gelu_grad_005", "gelu_grad_run", ((2048, 3072), "float32")),
# float32:[2560, 768]=float:[2560, 768]
("gelu_grad_006", "gelu_grad_run", ((2560, 768), "float32")),
# float32:[256, 3072]=float:[256, 3072]
("gelu_grad_007", "gelu_grad_run", ((256, 3072), "float32")),
# float32:[320, 768]=float:[320, 768]
("gelu_grad_008", "gelu_grad_run", ((320, 768), "float32")),
# float32:[40, 768]=float:[40, 768]
("gelu_grad_009", "gelu_grad_run", ((40, 768), "float32")),
# float32:[4096, 3072]=float:[4096, 3072]
("gelu_grad_010", "gelu_grad_run", ((4096, 3072), "float32")),
# float32:[512, 3072]=float:[512, 3072]
("gelu_grad_011", "gelu_grad_run", ((512, 3072), "float32")),
# float32:[640, 768]=float:[640, 768]
("gelu_grad_012", "gelu_grad_run", ((640, 768), "float32")),
# float32:[80, 768]=float:[80, 768]
("gelu_grad_013", "gelu_grad_run", ((80, 768), "float32")),
# float32:[8192, 3072]=float:[8192, 3072]
("gelu_grad_014", "gelu_grad_run", ((8192, 3072), "float32")),
# float:[10240, 768]=float:[10240, 768]
("gelu_grad_015", "gelu_grad_run", ((10240, 768), "float32")),
# float:[128, 3072]=float:[128, 3072]
("gelu_grad_016", "gelu_grad_run", ((128, 3072), "float32")),
# float:[131072, 3072]=float:[131072, 3072]
("gelu_grad_017", "gelu_grad_run", ((131072, 3072), "float32")),
# float:[20480, 768]=float:[20480, 768]
("gelu_grad_018", "gelu_grad_run", ((20480, 768), "float32")),
# float:[20, 768]=float:[20, 768]
("gelu_grad_019", "gelu_grad_run", ((20, 768), "float32")),
# float:[32768, 3072]=float:[32768, 3072]
("gelu_grad_020", "gelu_grad_run", ((32768, 3072), "float32")),
# float:[5120, 768]=float:[5120, 768]
("gelu_grad_021", "gelu_grad_run", ((5120, 768), "float32")),
# float:[65536, 3072]=float:[65536, 3072]
("gelu_grad_022", "gelu_grad_run", ((65536, 3072), "float32")),
# LayerNorm OP
# float32:[1024, 768] = float32:[1024, 768]
("fused_layernorm_001", "fused_layernorm_run", ((1024, 768), -1, -1, "float32")),
# float32:[1280, 768] = float32:[1280, 768]
("fused_layernorm_002", "fused_layernorm_run", ((1280, 768), -1, -1, "float32")),
# float32:[128, 128, 768] = float32:[128, 128, 768]
("fused_layernorm_003", "fused_layernorm_run", ((128, 128, 768), -1, -1, "float32")),
# float32:[160, 768] = float32:[160, 768]
("fused_layernorm_004", "fused_layernorm_run", ((160, 768), -1, -1, "float32")),
# float32:[16, 128, 768] = float32:[16, 128, 768]
("fused_layernorm_005", "fused_layernorm_run", ((16, 128, 768), -1, -1, "float32")),
# float32:[16384, 768] = float32:[16384, 768]
("fused_layernorm_006", "fused_layernorm_run", ((16384, 768), -1, -1, "float32")),
# float32:[2048, 768] = float32:[2048, 768]
("fused_layernorm_007", "fused_layernorm_run", ((2048, 768), -1, -1, "float32")),
# float32:[2, 128, 768] = float32:[2, 128, 768]
("fused_layernorm_008", "fused_layernorm_run", ((2, 128, 768), -1, -1, "float32")),
# float32:[2560, 768] = float32:[2560, 768]
("fused_layernorm_009", "fused_layernorm_run", ((2560, 768), -1, -1, "float32")),
# float32:[256, 768] = float32:[256, 768]
("fused_layernorm_010", "fused_layernorm_run", ((256, 768), -1, -1, "float32")),
# float32:[320, 768] = float32:[320, 768]
("fused_layernorm_011", "fused_layernorm_run", ((320, 768), -1, -1, "float32")),
# float32:[32, 128, 768] = float32:[32, 128, 768]
("fused_layernorm_012", "fused_layernorm_run", ((32, 128, 768), -1, -1, "float32")),
# float32:[40, 768] = float32:[40, 768]
("fused_layernorm_013", "fused_layernorm_run", ((40, 768), -1, -1, "float32")),
# float32:[4096, 768] = float32:[4096, 768]
("fused_layernorm_014", "fused_layernorm_run", ((4096, 768), -1, -1, "float32")),
# float32:[4, 128, 768] = float32:[4, 128, 768]
("fused_layernorm_015", "fused_layernorm_run", ((4, 128, 768), -1, -1, "float32")),
# float32:[512, 768] = float32:[512, 768]
("fused_layernorm_016", "fused_layernorm_run", ((512, 768), -1, -1, "float32")),
# float32:[640, 768] = float32:[640, 768]
("fused_layernorm_017", "fused_layernorm_run", ((640, 768), -1, -1, "float32")),
# float32:[64, 128, 768] = float32:[64, 128, 768]
("fused_layernorm_018", "fused_layernorm_run", ((64, 128, 768), -1, -1, "float32")),
# float32:[80, 768] = float32:[80, 768]
("fused_layernorm_019", "fused_layernorm_run", ((80, 768), -1, -1, "float32")),
# float32:[8, 128, 768] = float32:[8, 128, 768]
("fused_layernorm_020", "fused_layernorm_run", ((8, 128, 768), -1, -1, "float32")),
# float32:[8192, 768] = float32:[8192, 768]
("fused_layernorm_021", "fused_layernorm_run", ((8192, 768), -1, -1, "float32")),
# float:[512, 128, 768]=float:[512, 128, 768]
("fused_layernorm_022", "fused_layernorm_run", ((512, 128, 768), -1, -1, "float32")),
# float:[65536, 768]=float:[65536, 768]
("fused_layernorm_023", "fused_layernorm_run", ((65536, 768), -1, -1, "float32")),
# float:[1, 128, 768]=float:[1, 128, 768]
("fused_layernorm_024", "fused_layernorm_run", ((1, 128, 768), -1, -1, "float32")),
# float:[128, 768]=float:[128, 768]
("fused_layernorm_025", "fused_layernorm_run", ((128, 768), -1, -1, "float32")),
# float:[131072, 768]=float:[131072, 768]
("fused_layernorm_026", "fused_layernorm_run", ((131072, 768), -1, -1, "float32")),
# float:[20480, 768]=float:[20480, 768]
("fused_layernorm_027", "fused_layernorm_run", ((20480, 768), -1, -1, "float32")),
# float:[256, 128, 768]=float:[256, 128, 768]
("fused_layernorm_028", "fused_layernorm_run", ((256, 128, 768), -1, -1, "float32")),
# float:[20, 768]=float:[20, 768]
("fused_layernorm_029", "fused_layernorm_run", ((20, 768), -1, -1, "float32")),
# float:[32768, 768]=float:[32768, 768]
("fused_layernorm_030", "fused_layernorm_run", ((32768, 768), -1, -1, "float32")),
# float:[5120, 768]=float:[5120, 768]
("fused_layernorm_031", "fused_layernorm_run", ((5120, 768), -1, -1, "float32")),
# LayerNormGrad
# float32:[1024, 768] = float32:[1024, 768]
("fused_layer_norm_grad_001", "fused_layer_norm_grad_run", ((1024, 768), -1, -1, "float32")),
# float32:[1280, 768] = float32:[1280, 768]
("fused_layer_norm_grad_002", "fused_layer_norm_grad_run", ((1280, 768), -1, -1, "float32")),
# float32:[128, 128, 768] = float32:[128, 128, 768]
("fused_layer_norm_grad_003", "fused_layer_norm_grad_run", ((128, 128), -1, -1, "float32")),
# float32:[160, 768] = float32:[160, 768]
("fused_layer_norm_grad_004", "fused_layer_norm_grad_run", ((160, 768), -1, -1, "float32")),
# float32:[16, 128, 768] = float32:[16, 128, 768]
("fused_layer_norm_grad_005", "fused_layer_norm_grad_run", ((16, 128, 768), -1, -1, "float32")),
# float32:[16384, 768] = float32:[16384, 768]
("fused_layer_norm_grad_006", "fused_layer_norm_grad_run", ((16384, 768), -1, -1, "float32")),
# float32:[2048, 768] = float32:[2048, 768]
("fused_layer_norm_grad_007", "fused_layer_norm_grad_run", ((2048, 768), -1, -1, "float32")),
# float32:[2, 128, 768] = float32:[2, 128, 768]
("fused_layer_norm_grad_008", "fused_layer_norm_grad_run", ((2, 128), -1, -1, "float32")),
# float32:[2560, 768] = float32:[2560, 768]
("fused_layer_norm_grad_009", "fused_layer_norm_grad_run", ((2560, 768), -1, -1, "float32")),
# float32:[256, 768] = float32:[256, 768]
("fused_layer_norm_grad_010", "fused_layer_norm_grad_run", ((256, 768), -1, -1, "float32")),
# float32:[320, 768] = float32:[320, 768]
("fused_layer_norm_grad_011", "fused_layer_norm_grad_run", ((320, 768), -1, -1, "float32")),
# float32:[32, 128, 768] = float32:[32, 128, 768]
("fused_layer_norm_grad_012", "fused_layer_norm_grad_run", ((32, 128, 768), -1, -1, "float32")),
# float32:[40, 768] = float32:[40, 768]
("fused_layer_norm_grad_013", "fused_layer_norm_grad_run", ((40, 768), -1, -1, "float32")),
# float32:[4096, 768] = float32:[4096, 768]
("fused_layer_norm_grad_014", "fused_layer_norm_grad_run", ((4096, 768), -1, -1, "float32")),
# float32:[4, 128, 768] = float32:[4, 128, 768]
("fused_layer_norm_grad_015", "fused_layer_norm_grad_run", ((4, 128), -1, -1, "float32")),
# float32:[512, 768] = float32:[512, 768]
("fused_layer_norm_grad_016", "fused_layer_norm_grad_run", ((512, 768), -1, -1, "float32")),
# float32:[640, 768] = float32:[640, 768]
("fused_layer_norm_grad_017", "fused_layer_norm_grad_run", ((640, 768), -1, -1, "float32")),
# float32:[64, 128, 768] = float32:[64, 128, 768]
("fused_layer_norm_grad_018", "fused_layer_norm_grad_run", ((64, 128), -1, -1, "float32")),
# float32:[80, 768] = float32:[80, 768]
("fused_layer_norm_grad_019", "fused_layer_norm_grad_run", ((80, 768), -1, -1, "float32")),
# float32:[8, 128, 768] = float32:[8, 128, 768]
("fused_layer_norm_grad_020", "fused_layer_norm_grad_run", ((8, 128), -1, -1, "float32")),
# float32:[8192, 768] = float32:[8192, 768]
("fused_layer_norm_grad_021", "fused_layer_norm_grad_run", ((8192, 768), -1, -1, "float32")),
# float:[10240, 768]=float:[10240, 768]
("fused_layer_norm_grad_022", "fused_layer_norm_grad_run", ((10240, 768), -1, -1, "float32")),
# float:[1024, 128, 768]=float:[1024, 128, 768]
("fused_layer_norm_grad_023", "fused_layer_norm_grad_run", ((1024, 128, 768), -1, -1, "float32")),
# float:[1, 128, 768]=float:[1, 128, 768]
("fused_layer_norm_grad_024", "fused_layer_norm_grad_run", ((1, 128, 768), -1, -1, "float32")),
# float:[128, 768]=float:[128, 768]
("fused_layer_norm_grad_025", "fused_layer_norm_grad_run", ((128, 768), -1, -1, "float32")),
# float:[131072, 768]=float:[131072, 768]
("fused_layer_norm_grad_026", "fused_layer_norm_grad_run", ((131072, 768), -1, -1, "float32")),
# float:[20480, 768]=float:[20480, 768]
("fused_layer_norm_grad_027", "fused_layer_norm_grad_run", ((20480, 768), -1, -1, "float32")),
# float:[256, 128, 768]=float:[256, 128, 768]
("fused_layer_norm_grad_028", "fused_layer_norm_grad_run", ((256, 128, 768), -1, -1, "float32")),
# float:[20, 768]=float:[20, 768]
("fused_layer_norm_grad_029", "fused_layer_norm_grad_run", ((20, 768), -1, -1, "float32")),
# float:[32768, 768]=float:[32768, 768]
("fused_layer_norm_grad_030", "fused_layer_norm_grad_run", ((32768, 768), -1, -1, "float32")),
# float:[5120, 768]=float:[5120, 768]
("fused_layer_norm_grad_031", "fused_layer_norm_grad_run", ((5120, 768), -1, -1, "float32")),
# float:[512, 128, 768]=float:[512, 128, 768]
("fused_layer_norm_grad_032", "fused_layer_norm_grad_run", ((512, 128, 768), -1, -1, "float32")),
# float:[65536, 768]=float:[65536, 768]
("fused_layer_norm_grad_033", "fused_layer_norm_grad_run", ((65536, 768), -1, -1, "float32")),
# dropout OP
# float32:[1024, 768] = float32:[1024, 768]
("dropout_001", "dropout_run", ((1024, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[1280, 768] = float32:[1280, 768]
("dropout_002", "dropout_run", ((1280, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[128, 128, 768] = float32:[128, 128, 768]
("dropout_003", "dropout_run", ((128, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[160, 768] = float32:[160, 768]
("dropout_004", "dropout_run", ((160, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[16, 128, 768] = float32:[16, 128, 768]
("dropout_005", "dropout_run", ((16, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[16384, 768] = float32:[16384, 768]
("dropout_006", "dropout_run", ((16384, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[2048, 768] = float32:[2048, 768]
("dropout_007", "dropout_run", ((2048, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[2, 128, 768] = float32:[2, 128, 768]
("dropout_008", "dropout_run", ((2, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[2560, 768] = float32:[2560, 768]
("dropout_009", "dropout_run", ((2560, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[256, 768] = float32:[256, 768]
("dropout_010", "dropout_run", ((256, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[320, 768] = float32:[320, 768]
("dropout_011", "dropout_run", ((320, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[32, 128, 768] = float32:[32, 128, 768]
("dropout_012", "dropout_run", ((32, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[40, 768] = float32:[40, 768]
("dropout_013", "dropout_run", ((40, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[4096, 768] = float32:[4096, 768]
("dropout_014", "dropout_run", ((4096, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[4, 128, 768] = float32:[4, 128, 768]
("dropout_015", "dropout_run", ((4, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[512, 768] = float32:[512, 768]
("dropout_016", "dropout_run", ((512, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[640, 768] = float32:[640, 768]
("dropout_017", "dropout_run", ((640, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[64, 128, 768] = float32:[64, 128, 768]
("dropout_018", "dropout_run", ((64, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[80, 768] = float32:[80, 768]
("dropout_019", "dropout_run", ((80, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[8, 128, 768] = float32:[8, 128, 768]
("dropout_020", "dropout_run", ((8, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float32:[8192, 768] = float32:[8192, 768]
("dropout_021", "dropout_run", ((8192, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float:[1024, 12, 128, 128]=float:[1024, 12, 128, 128]
("dropout_022", "dropout_run", ((1024, 12, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[1024, 128, 768]=float:[1024, 128, 768]
("dropout_023", "dropout_run", ((1024, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float:[131072, 768]=float:[131072, 768]
("dropout_024", "dropout_run", ((131072, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float:[256, 12, 128, 128]=float:[256, 12, 128, 128]
("dropout_025", "dropout_run", ((256, 12, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[256, 128, 768]=float:[256, 128, 768]
("dropout_026", "dropout_run", ((256, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float:[32768, 768]=float:[32768, 768]
("dropout_027", "dropout_run", ((32768, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float:[512, 12, 128, 128]=float:[512, 12, 128, 128]
("dropout_028", "dropout_run", ((512, 12, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[512, 128, 768]=float:[512, 128, 768]
("dropout_029", "dropout_run", ((512, 128, 768), 1.0, "float32", "cce_dropout_do_mask")),
# float:[65536, 768]=float:[65536, 768]
("dropout_030", "dropout_run", ((65536, 768), 1.0, "float32", "cce_dropout_do_mask")),
# addn OP
# float-float:[1024, 12, 128, 128]-[1024, 12, 128, 128]=float:[1024, 12, 128, 128]
("addn_001", "addn_run", ((1024, 12, 128, 128), "float32", 2)),
# float-float:[1024, 12, 128, 64]-[1024, 12, 128, 64]=float:[1024, 12, 128, 64]
("addn_002", "addn_run", ((1024, 12, 128, 64), "float32", 2)),
# float-float:[1024, 128, 768]-[1024, 128, 768]=float:[1024, 128, 768]
("addn_003", "addn_run", ((1024, 128, 768), "float32", 2)),
# float-float:[1024, 768]-[1024, 768]=float:[1024, 768]
("addn_004", "addn_run", ((1024, 768), "float32", 2)),
# float-float:[1, 12, 128, 128]-[1, 12, 128, 128]=float:[1, 12, 128, 128]
("addn_005", "addn_run", ((1, 12, 128, 128), "float32", 2)),
# float-float:[1, 12, 128, 64]-[1, 12, 128, 64]=float:[1, 12, 128, 64]
("addn_006", "addn_run", ((1, 12, 128, 64), "float32", 2)),
# float-float:[1, 128, 768]-[1, 128, 768]=float:[1, 128, 768]
("addn_007", "addn_run", ((1, 128, 768), "float32", 2)),
# float-float:[128, 12, 128, 128]-[128, 12, 128, 128]=float:[128, 12, 128, 128]
("addn_008", "addn_run", ((128, 12, 128, 128), "float32", 2)),
# float-float:[128, 12, 128, 64]-[128, 12, 128, 64]=float:[128, 12, 128, 64]
("addn_009", "addn_run", ((128, 12, 128, 64), "float32", 2)),
# float-float:[128, 128, 768]-[128, 128, 768]=float:[128, 128, 768]
("addn_010", "addn_run", ((128, 128, 768), "float32", 2)),
# float-float:[128, 768]-[128, 768]=float:[128, 768]
("addn_011", "addn_run", ((128, 768), "float32", 2)),
# float-float:[131072, 768]-[131072, 768]=float:[131072, 768]
("addn_012", "addn_run", ((131072, 768), "float32", 2)),
# float-float:[16, 12, 128, 128]-[16, 12, 128, 128]=float:[16, 12, 128, 128]
("addn_013", "addn_run", ((16, 12, 128, 128), "float32", 2)),
# float-float:[16, 12, 128, 64]-[16, 12, 128, 64]=float:[16, 12, 128, 64]
("addn_014", "addn_run", ((16, 12, 128, 64), "float32", 2)),
# float-float:[16, 128, 768]-[16, 128, 768]=float:[16, 128, 768]
("addn_015", "addn_run", ((16, 128, 768), "float32", 2)),
# float-float:[16384, 768]-[16384, 768]=float:[16384, 768]
("addn_016", "addn_run", ((16384, 768), "float32", 2)),
# float-float:[2048, 768]-[2048, 768]=float:[2048, 768]
("addn_017", "addn_run", ((2048, 768), "float32", 2)),
# float-float:[21128, 768]-[21128, 768]=float:[21128, 768]
("addn_018", "addn_run", ((21128, 768), "float32", 2)),
# float-float:[2, 12, 128, 128]-[2, 12, 128, 128]=float:[2, 12, 128, 128]
("addn_019", "addn_run", ((2, 12, 128, 128), "float32", 2)),
# float-float:[2, 12, 128, 64]-[2, 12, 128, 64]=float:[2, 12, 128, 64]
("addn_020", "addn_run", ((2, 12, 128, 64), "float32", 2)),
# float-float:[2, 128, 768]-[2, 128, 768]=float:[2, 128, 768]
("addn_021", "addn_run", ((2, 128, 768), "float32", 2)),
# float-float:[256, 12, 128, 128]-[256, 12, 128, 128]=float:[256, 12, 128, 128]
("addn_022", "addn_run", ((256, 12, 128, 128), "float32", 2)),
# float-float:[256, 12, 128, 64]-[256, 12, 128, 64]=float:[256, 12, 128, 64]
("addn_023", "addn_run", ((256, 12, 128, 64), "float32", 2)),
# float-float:[256, 128, 768]-[256, 128, 768]=float:[256, 128, 768]
("addn_024", "addn_run", ((256, 128, 768), "float32", 2)),
# float-float:[256, 768]-[256, 768]=float:[256, 768]
("addn_025", "addn_run", ((256, 768), "float32", 2)),
# float-float:[32, 12, 128, 128]-[32, 12, 128, 128]=float:[32, 12, 128, 128]
("addn_026", "addn_run", ((32, 12, 128, 128), "float32", 2)),
# float-float:[32, 12, 128, 64]-[32, 12, 128, 64]=float:[32, 12, 128, 64]
("addn_027", "addn_run", ((32, 12, 128, 64), "float32", 2)),
# float-float:[32, 128, 768]-[32, 128, 768]=float:[32, 128, 768]
("addn_028", "addn_run", ((32, 128, 768), "float32", 2)),
# float-float:[32768, 768]-[32768, 768]=float:[32768, 768]
("addn_029", "addn_run", ((32768, 768), "float32", 2)),
# float-float:[33, 64]-[33, 64]=float:[33, 64]
("addn_030", "addn_run", ((33, 64), "float32", 2)),
# float-float:[4096, 768]-[4096, 768]=float:[4096, 768]
("addn_031", "addn_run", ((4096, 768), "float32", 2)),
# float-float:[4, 12, 128, 128]-[4, 12, 128, 128]=float:[4, 12, 128, 128]
("addn_032", "addn_run", ((4, 12, 128, 128), "float32", 2)),
# float-float:[4, 12, 128, 64]-[4, 12, 128, 64]=float:[4, 12, 128, 64]
("addn_033", "addn_run", ((4, 12, 128, 64), "float32", 2)),
# float-float:[4, 128, 768]-[4, 128, 768]=float:[4, 128, 768]
("addn_034", "addn_run", ((4, 128, 768), "float32", 2)),
# float-float:[512, 12, 128, 128]-[512, 12, 128, 128]=float:[512, 12, 128, 128]
("addn_035", "addn_run", ((512, 12, 128, 128), "float32", 2)),
# float-float:[512, 12, 128, 64]-[512, 12, 128, 64]=float:[512, 12, 128, 64]
("addn_036", "addn_run", ((512, 12, 128, 64), "float32", 2)),
# float-float:[512, 128, 768]-[512, 128, 768]=float:[512, 128, 768]
("addn_037", "addn_run", ((512, 128, 768), "float32", 2)),
# float-float:[512, 768]-[512, 768]=float:[512, 768]
("addn_038", "addn_run", ((512, 768), "float32", 2)),
# float-float:[64, 12, 128, 128]-[64, 12, 128, 128]=float:[64, 12, 128, 128]
("addn_039", "addn_run", ((64, 12, 128, 128), "float32", 2)),
# float-float:[64, 12, 128, 64]-[64, 12, 128, 64]=float:[64, 12, 128, 64]
("addn_040", "addn_run", ((64, 12, 128, 64), "float32", 2)),
# float-float:[64, 128, 768]-[64, 128, 768]=float:[64, 128, 768]
("addn_041", "addn_run", ((64, 128, 768), "float32", 2)),
# float-float:[65536, 768]-[65536, 768]=float:[65536, 768]
("addn_042", "addn_run", ((65536, 768), "float32", 2)),
# float-float:[8, 12, 128, 128]-[8, 12, 128, 128]=float:[8, 12, 128, 128]
("addn_043", "addn_run", ((8, 12, 128, 128), "float32", 2)),
# float-float:[8, 12, 128, 64]-[8, 12, 128, 64]=float:[8, 12, 128, 64]
("addn_044", "addn_run", ((8, 12, 128, 64), "float32", 2)),
# float-float:[8, 128, 768]-[8, 128, 768]=float:[8, 128, 768]
("addn_045", "addn_run", ((8, 128, 768), "float32", 2)),
# float-float:[8192, 768]-[8192, 768]=float:[8192, 768]
("addn_046", "addn_run", ((8192, 768), "float32", 2)),
# float-float-float:[1024, 768]-[1024, 768]-[1024, 768]=float:[1024, 768]
("addn_047", "addn_run", ((1024, 768), "float32", 3)),
# float-float-float:[128, 768]-[128, 768]-[128, 768]=float:[128, 768]
("addn_048", "addn_run", ((128, 768), "float32", 3)),
# float-float-float:[131072, 768]-[131072, 768]-[131072, 768]=float:[131072, 768]
("addn_049", "addn_run", ((131072, 768), "float32", 3)),
# float-float-float:[16384, 768]-[16384, 768]-[16384, 768]=float:[16384, 768]
("addn_050", "addn_run", ((16384, 768), "float32", 3)),
# float-float-float:[2048, 768]-[2048, 768]-[2048, 768]=float:[2048, 768]
("addn_051", "addn_run", ((2048, 768), "float32", 3)),
# float-float-float:[256, 768]-[256, 768]-[256, 768]=float:[256, 768]
("addn_052", "addn_run", ((256, 768), "float32", 3)),
# float-float-float:[32768, 768]-[32768, 768]-[32768, 768]=float:[32768, 768]
("addn_053", "addn_run", ((32768, 768), "float32", 3)),
# float-float-float:[4096, 768]-[4096, 768]-[4096, 768]=float:[4096, 768]
("addn_054", "addn_run", ((4096, 768), "float32", 3)),
# float-float-float:[512, 768]-[512, 768]-[512, 768]=float:[512, 768]
("addn_055", "addn_run", ((512, 768), "float32", 3)),
# float-float-float:[65536, 768]-[65536, 768]-[65536, 768]=float:[65536, 768]
("addn_056", "addn_run", ((65536, 768), "float32", 3)),
# float-float-float:[8192, 768]-[8192, 768]-[8192, 768]=float:[8192, 768]
("addn_057", "addn_run", ((8192, 768), "float32", 3)),
# LogSoftMax OP
# float:[128, 2]=float:[128, 2]
("logsoftmax_001", "logsoftmax_run", ((128, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[160, 21128]=float:[160, 21128]
("logsoftmax_002", "logsoftmax_run", ((160, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[16, 2]=float:[16, 2]
("logsoftmax_003", "logsoftmax_run", ((16, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20, 21128]=float:[20, 21128]
("logsoftmax_004", "logsoftmax_run", ((20, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2, 2]=float:[2, 2]
("logsoftmax_005", "logsoftmax_run", ((2, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2560, 21128]=float:[2560, 21128]
("logsoftmax_006", "logsoftmax_run", ((2560, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[320, 21128]=float:[320, 21128]
("logsoftmax_007", "logsoftmax_run", ((320, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[32, 2]=float:[32, 2]
("logsoftmax_008", "logsoftmax_run", ((32, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[40, 21128]=float:[40, 21128]
("logsoftmax_009", "logsoftmax_run", ((40, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[4, 2]=float:[4, 2]
("logsoftmax_010", "logsoftmax_run", ((4, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[640, 21128]=float:[640, 21128]
("logsoftmax_011", "logsoftmax_run", ((640, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[80, 21128]=float:[80, 21128]
("logsoftmax_012", "logsoftmax_run", ((80, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[10240, 21128]=float:[10240, 21128]
("logsoftmax_013", "logsoftmax_run", ((10240, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1024, 2]=float:[1024, 2]
("logsoftmax_014", "logsoftmax_run", ((1024, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1280, 21128]=float:[1280, 21128]
("logsoftmax_015", "logsoftmax_run", ((1280, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1, 2]=float:[1, 2]
("logsoftmax_016", "logsoftmax_run", ((1, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20480, 21128]=float:[20480, 21128]
("logsoftmax_017", "logsoftmax_run", ((20480, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[256, 2]=float:[256, 2]
("logsoftmax_018", "logsoftmax_run", ((256, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[5120, 21128]=float:[5120, 21128]
("logsoftmax_019", "logsoftmax_run", ((5120, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[512, 2]=float:[512, 2]
("logsoftmax_020", "logsoftmax_run", ((512, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[64, 2]=float:[64, 2]
("logsoftmax_021", "logsoftmax_run", ((64, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[8, 2]=float:[8, 2]
("logsoftmax_022", "logsoftmax_run", ((8, 2), "float32", -1, "cce_logsoftmax_fp32")),
# LogSoftMaxGrad OP
# float:[128, 2]=float:[128, 2]
("logsoftmax_grad_001", "logsoftmax_grad_run", ((128, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[160, 21128]=float:[160, 21128]
("logsoftmax_grad_002", "logsoftmax_grad_run", ((160, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[16, 2]=float:[16, 2]
("logsoftmax_grad_003", "logsoftmax_grad_run", ((16, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20, 21128]=float:[20, 21128]
("logsoftmax_grad_004", "logsoftmax_grad_run", ((20, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2, 2]=float:[2, 2]
("logsoftmax_grad_005", "logsoftmax_grad_run", ((2, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2560, 21128]=float:[2560, 21128]
("logsoftmax_grad_006", "logsoftmax_grad_run", ((2560, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[320, 21128]=float:[320, 21128]
("logsoftmax_grad_007", "logsoftmax_grad_run", ((320, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[32, 2]=float:[32, 2]
("logsoftmax_grad_008", "logsoftmax_grad_run", ((32, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[40, 21128]=float:[40, 21128]
("logsoftmax_grad_009", "logsoftmax_grad_run", ((40, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[4, 2]=float:[4, 2]
("logsoftmax_grad_010", "logsoftmax_grad_run", ((4, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[640, 21128]=float:[640, 21128]
("logsoftmax_grad_011", "logsoftmax_grad_run", ((640, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[80, 21128]=float:[80, 21128]
("logsoftmax_grad_012", "logsoftmax_grad_run", ((80, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[10240, 21128]=float:[10240, 21128]
("logsoftmax_grad_013", "logsoftmax_grad_run", ((10240, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1024, 2]=float:[1024, 2]
("logsoftmax_grad_014", "logsoftmax_grad_run", ((1024, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1280, 21128]=float:[1280, 21128]
("logsoftmax_grad_015", "logsoftmax_grad_run", ((1280, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1, 2]=float:[1, 2]
("logsoftmax_grad_016", "logsoftmax_grad_run", ((1, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20480, 21128]=float:[20480, 21128]
("logsoftmax_grad_017", "logsoftmax_grad_run", ((20480, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[256, 2]=float:[256, 2]
("logsoftmax_grad_018", "logsoftmax_grad_run", ((256, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[5120, 21128]=float:[5120, 21128]
("logsoftmax_grad_019", "logsoftmax_grad_run", ((5120, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[512, 2]=float:[512, 2]
("logsoftmax_grad_020", "logsoftmax_grad_run", ((512, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[64, 2]=float:[64, 2]
("logsoftmax_grad_021", "logsoftmax_grad_run", ((64, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[8, 2]=float:[8, 2]
("logsoftmax_grad_022", "logsoftmax_grad_run", ((8, 2), "float32", -1, "cce_logsoftmax_fp32")),
# matmul op
# float - float:[1024, 768] - [768, 3072] = float:[1024, 3072]
("matmul_0001", "batchmatmul_run",
((), 1024, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1024, 3072] - [3072, 768] = float:[1024, 768]
("matmul_0002", "batchmatmul_run",
((), 1024, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1024, 768] - [768, 768] = float:[1024, 768]
(
"matmul_0003", "batchmatmul_run",
((), 1024, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1, 128, 1] - [1, 1, 128] = float:[1, 128, 128]
("matmul_0004", "batchmatmul_run", ((1,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 12, 128, 64] - [128, 12, 128, 64] = float:[128, 12, 128, 128]
("matmul_0005", "batchmatmul_run",
((128, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 12, 128, 128] - [128, 12, 128, 64] = float:[128, 12, 128, 64]
("matmul_0006", "batchmatmul_run",
((128, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 12, 64] - [128, 128, 64] = float:[128, 12, 128]
(
"matmul_0007", "batchmatmul_run",
((128,), 12, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 12, 128] - [128, 128, 64] = float:[128, 12, 64]
("matmul_0008", "batchmatmul_run",
((128,), 12, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 128, 1] - [128, 1, 128] = float:[128, 128, 128]
("matmul_0009", "batchmatmul_run",
((128,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 12, 128] - [128, 12, 64] = float:[128, 128, 64]
(
"matmul_0010", "batchmatmul_run",
((128,), 128, 64, 12, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 1536, 128] - [128, 1536, 64] = float:[128, 128, 64]
("matmul_0011", "batchmatmul_run",
((128,), 128, 64, 1536, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 192, 128] - [128, 192, 64] = float:[128, 128, 64]
("matmul_0012", "batchmatmul_run",
((128,), 128, 64, 192, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 24, 128] - [128, 24, 64] = float:[128, 128, 64]
(
"matmul_0013", "batchmatmul_run",
((128,), 128, 64, 24, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 384, 128] - [128, 384, 64] = float:[128, 128, 64]
("matmul_0014", "batchmatmul_run",
((128,), 128, 64, 384, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 48, 128] - [128, 48, 64] = float:[128, 128, 64]
(
"matmul_0015", "batchmatmul_run",
((128,), 128, 64, 48, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 768, 128] - [128, 768, 64] = float:[128, 128, 64]
("matmul_0016", "batchmatmul_run",
((128,), 128, 64, 768, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 96, 128] - [128, 96, 64] = float:[128, 128, 64]
(
"matmul_0017", "batchmatmul_run",
((128,), 128, 64, 96, (), "float32", True, False, "batch_matmul_output")),
# float - float:[128, 1536, 64] - [128, 128, 64] = float:[128, 1536, 128]
("matmul_0018", "batchmatmul_run",
((128,), 1536, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 1536, 128] - [128, 128, 64] = float:[128, 1536, 64]
(
"matmul_0019", "batchmatmul_run",
((128,), 1536, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 192, 64] - [128, 128, 64] = float:[128, 192, 128]
("matmul_0020", "batchmatmul_run",
((128,), 192, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 192, 128] - [128, 128, 64] = float:[128, 192, 64]
("matmul_0021", "batchmatmul_run",
((128,), 192, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 24, 64] - [128, 128, 64] = float:[128, 24, 128]
(
"matmul_0022", "batchmatmul_run",
((128,), 24, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 24, 128] - [128, 128, 64] = float:[128, 24, 64]
("matmul_0023", "batchmatmul_run",
((128,), 24, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 768] - [2, 768] = float:[128, 2]
("matmul_0024", "batchmatmul_run", ((), 128, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 384, 64] - [128, 128, 64] = float:[128, 384, 128]
("matmul_0025", "batchmatmul_run",
((128,), 384, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 384, 128] - [128, 128, 64] = float:[128, 384, 64]
("matmul_0026", "batchmatmul_run",
((128,), 384, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 48, 64] - [128, 128, 64] = float:[128, 48, 128]
(
"matmul_0027", "batchmatmul_run",
((128,), 48, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 48, 128] - [128, 128, 64] = float:[128, 48, 64]
("matmul_0028", "batchmatmul_run",
((128,), 48, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 768, 64] - [128, 128, 64] = float:[128, 768, 128]
("matmul_0029", "batchmatmul_run",
((128,), 768, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 768, 128] - [128, 128, 64] = float:[128, 768, 64]
("matmul_0030", "batchmatmul_run",
((128,), 768, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 2] - [2, 768] = float:[128, 768]
("matmul_0031", "batchmatmul_run", ((), 128, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 3072] - [3072, 768] = float:[128, 768]
(
"matmul_0032", "batchmatmul_run",
((), 128, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 768] - [768, 768] = float:[128, 768]
("matmul_0033", "batchmatmul_run", ((), 128, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 96, 64] - [128, 128, 64] = float:[128, 96, 128]
(
"matmul_0034", "batchmatmul_run",
((128,), 96, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float - float:[128, 96, 128] - [128, 128, 64] = float:[128, 96, 64]
("matmul_0035", "batchmatmul_run",
((128,), 96, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[160, 768] - [21128, 768] = float:[160, 21128]
(
"matmul_0036", "batchmatmul_run",
((), 160, 21128, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[160, 21128] - [21128, 768] = float:[160, 768]
("matmul_0037", "batchmatmul_run",
((), 160, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[160, 768] - [768, 768] = float:[160, 768]
("matmul_0038", "batchmatmul_run", ((), 160, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16, 12, 128, 64] - [16, 12, 128, 64] = float:[16, 12, 128, 128]
("matmul_0039", "batchmatmul_run",
((16, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[16, 12, 128, 128] - [16, 12, 128, 64] = float:[16, 12, 128, 64]
("matmul_0040", "batchmatmul_run",
((16, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16, 128, 1] - [16, 1, 128] = float:[16, 128, 128]
(
"matmul_0041", "batchmatmul_run",
((16,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16, 768] - [2, 768] = float:[16, 2]
("matmul_0042", "batchmatmul_run", ((), 16, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[16384, 768] - [768, 3072] = float:[16384, 3072]
("matmul_0043", "batchmatmul_run",
((), 16384, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16384, 3072] - [3072, 768] = float:[16384, 768]
("matmul_0044", "batchmatmul_run",
((), 16384, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16384, 768] - [768, 768] = float:[16384, 768]
("matmul_0045", "batchmatmul_run",
((), 16384, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16, 2] - [2, 768] = float:[16, 768]
("matmul_0046", "batchmatmul_run", ((), 16, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[16, 768] - [768, 768] = float:[16, 768]
("matmul_0047", "batchmatmul_run", ((), 16, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1, 2] - [2, 768] = float:[1, 768]
("matmul_0048", "batchmatmul_run", ((), 1, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[1, 768] - [768, 768] = float:[1, 768]
("matmul_0049", "batchmatmul_run", ((), 1, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[20, 768] - [21128, 768] = float:[20, 21128]
("matmul_0050", "batchmatmul_run", ((), 20, 21128, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[2048, 768] - [768, 3072] = float:[2048, 3072]
("matmul_0051", "batchmatmul_run",
((), 2048, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2048, 3072] - [3072, 768] = float:[2048, 768]
("matmul_0052", "batchmatmul_run",
((), 2048, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2048, 768] - [768, 768] = float:[2048, 768]
(
"matmul_0053", "batchmatmul_run",
((), 2048, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[20, 21128] - [21128, 768] = float:[20, 768]
(
"matmul_0054", "batchmatmul_run",
((), 20, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[20, 768] - [768, 768] = float:[20, 768]
("matmul_0055", "batchmatmul_run", ((), 20, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[160, 21128] - [160, 768] = float:[21128, 768]
("matmul_0056", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[20, 21128] - [20, 768] = float:[21128, 768]
("matmul_0057", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[2560, 21128] - [2560, 768] = float:[21128, 768]
("matmul_0058", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[320, 21128] - [320, 768] = float:[21128, 768]
("matmul_0059", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[40, 21128] - [40, 768] = float:[21128, 768]
("matmul_0060", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[640, 21128] - [640, 768] = float:[21128, 768]
("matmul_0061", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[80, 21128] - [80, 768] = float:[21128, 768]
("matmul_0062", "batchmatmul_run",
((), 21128, 768, 21128, (), "float32", True, False, "batch_matmul_output")),
# float - float:[2, 12, 128, 64] - [2, 12, 128, 64] = float:[2, 12, 128, 128]
("matmul_0063", "batchmatmul_run",
((2, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[2, 12, 128, 128] - [2, 12, 128, 64] = float:[2, 12, 128, 64]
("matmul_0064", "batchmatmul_run",
((2, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2, 128, 1] - [2, 1, 128] = float:[2, 128, 128]
("matmul_0065", "batchmatmul_run", ((2,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2, 768] - [2, 768] = float:[2, 2]
("matmul_0066", "batchmatmul_run", ((), 2, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[2560, 768] - [21128, 768] = float:[2560, 21128]
("matmul_0067", "batchmatmul_run",
((), 2560, 21128, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[2560, 21128] - [21128, 768] = float:[2560, 768]
("matmul_0068", "batchmatmul_run",
((), 2560, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2560, 768] - [768, 768] = float:[2560, 768]
(
"matmul_0069", "batchmatmul_run",
((), 2560, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[256, 768] - [768, 3072] = float:[256, 3072]
(
"matmul_0070", "batchmatmul_run",
((), 256, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[256, 3072] - [3072, 768] = float:[256, 768]
(
"matmul_0071", "batchmatmul_run",
((), 256, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[256, 768] - [768, 768] = float:[256, 768]
("matmul_0072", "batchmatmul_run", ((), 256, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2, 2] - [2, 768] = float:[2, 768]
("matmul_0073", "batchmatmul_run", ((), 2, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[2, 768] - [768, 768] = float:[2, 768]
("matmul_0074", "batchmatmul_run", ((), 2, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[128, 2] - [128, 768] = float:[2, 768]
("matmul_0075", "batchmatmul_run", ((), 2, 768, 2, (), "float32", True, False, "batch_matmul_output")),
# float - float:[16, 2] - [16, 768] = float:[2, 768]
("matmul_0076", "batchmatmul_run", ((), 2, 768, 2, (), "float32", True, False, "batch_matmul_output")),
# float - float:[32, 2] - [32, 768] = float:[2, 768]
("matmul_0077", "batchmatmul_run", ((), 2, 768, 2, (), "float32", True, False, "batch_matmul_output")),
# float - float:[4, 2] - [4, 768] = float:[2, 768]
("matmul_0078", "batchmatmul_run", ((), 2, 768, 2, (), "float32", True, False, "batch_matmul_output")),
# float - float:[8, 2] - [8, 768] = float:[2, 768]
("matmul_0079", "batchmatmul_run", ((), 2, 768, 2, (), "float32", True, False, "batch_matmul_output")),
# float - float:[320, 768] - [21128, 768] = float:[320, 21128]
(
"matmul_0080", "batchmatmul_run",
((), 320, 21128, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[320, 21128] - [21128, 768] = float:[320, 768]
("matmul_0081", "batchmatmul_run",
((), 320, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[320, 768] - [768, 768] = float:[320, 768]
("matmul_0082", "batchmatmul_run", ((), 320, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[32, 12, 128, 64] - [32, 12, 128, 64] = float:[32, 12, 128, 128]
("matmul_0083", "batchmatmul_run",
((32, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[32, 12, 128, 128] - [32, 12, 128, 64] = float:[32, 12, 128, 64]
("matmul_0084", "batchmatmul_run",
((32, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[32, 128, 1] - [32, 1, 128] = float:[32, 128, 128]
(
"matmul_0085", "batchmatmul_run",
((32,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[32, 768] - [2, 768] = float:[32, 2]
("matmul_0086", "batchmatmul_run", ((), 32, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[32, 2] - [2, 768] = float:[32, 768]
("matmul_0087", "batchmatmul_run", ((), 32, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[32, 768] - [768, 768] = float:[32, 768]
("matmul_0088", "batchmatmul_run", ((), 32, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[40, 768] - [21128, 768] = float:[40, 21128]
("matmul_0089", "batchmatmul_run", ((), 40, 21128, 768, (), "float32", False, True, "batch_matmul_output")),
# float - float:[40, 21128] - [21128, 768] = float:[40, 768]
(
"matmul_0090", "batchmatmul_run",
((), 40, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[40, 768] - [768, 768] = float:[40, 768]
("matmul_0091", "batchmatmul_run", ((), 40, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4096, 768] - [768, 3072] = float:[4096, 3072]
("matmul_0092", "batchmatmul_run",
((), 4096, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4096, 3072] - [3072, 768] = float:[4096, 768]
("matmul_0093", "batchmatmul_run",
((), 4096, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4096, 768] - [768, 768] = float:[4096, 768]
(
"matmul_0094", "batchmatmul_run",
((), 4096, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4, 12, 128, 64] - [4, 12, 128, 64] = float:[4, 12, 128, 128]
("matmul_0095", "batchmatmul_run",
((4, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[4, 12, 128, 128] - [4, 12, 128, 64] = float:[4, 12, 128, 64]
("matmul_0096", "batchmatmul_run",
((4, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4, 128, 1] - [4, 1, 128] = float:[4, 128, 128]
("matmul_0097", "batchmatmul_run", ((4,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4, 768] - [2, 768] = float:[4, 2]
("matmul_0098", "batchmatmul_run", ((), 4, 2, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4, 2] - [2, 768] = float:[4, 768]
("matmul_0099", "batchmatmul_run", ((), 4, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[4, 768] - [768, 768] = float:[4, 768]
("matmul_0100", "batchmatmul_run", ((), 4, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[512, 768] - [768, 3072] = float:[512, 3072]
(
"matmul_0101", "batchmatmul_run",
((), 512, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[512, 3072] - [3072, 768] = float:[512, 768]
(
"matmul_0102", "batchmatmul_run",
((), 512, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[512, 768] - [768, 768] = float:[512, 768]
("matmul_0103", "batchmatmul_run", ((), 512, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[640, 768] - [21128, 768] = float:[640, 21128]
("matmul_0104", "batchmatmul_run",
((), 640, 21128, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[640, 21128] - [21128, 768] = float:[640, 768]
("matmul_0105", "batchmatmul_run",
((), 640, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[640, 768] - [768, 768] = float:[640, 768]
("matmul_0106", "batchmatmul_run", ((), 640, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[64, 12, 128, 64] - [64, 12, 128, 64] = float:[64, 12, 128, 128]
("matmul_0107", "batchmatmul_run",
((64, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[64, 12, 128, 128] - [64, 12, 128, 64] = float:[64, 12, 128, 64]
("matmul_0108", "batchmatmul_run",
((64, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[64, 128, 1] - [64, 1, 128] = float:[64, 128, 128]
(
"matmul_0109", "batchmatmul_run",
((64,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[80, 768] - [21128, 768] = float:[80, 21128]
(
"matmul_0110", "batchmatmul_run",
((), 80, 21128, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[80, 21128] - [21128, 768] = float:[80, 768]
(
"matmul_0111", "batchmatmul_run",
((), 80, 768, 21128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[80, 768] - [768, 768] = float:[80, 768]
("matmul_0112", "batchmatmul_run", ((), 80, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8, 12, 128, 64] - [8, 12, 128, 64] = float:[8, 12, 128, 128]
("matmul_0113", "batchmatmul_run",
((8, 12), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float - float:[8, 12, 128, 128] - [8, 12, 128, 64] = float:[8, 12, 128, 64]
("matmul_0114", "batchmatmul_run",
((8, 12), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8, 128, 1] - [8, 1, 128] = float:[8, 128, 128]
("matmul_0115", "batchmatmul_run", ((8,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 768] - [768, 3072] = float:[8192, 3072]
("matmul_0116", "batchmatmul_run",
((), 8192, 3072, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 3072] - [3072, 768] = float:[8192, 768]
("matmul_0117", "batchmatmul_run",
((), 8192, 768, 3072, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8192, 768] - [768, 768] = float:[8192, 768]
(
"matmul_0118", "batchmatmul_run",
((), 8192, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8, 768] - [2, 768] = float:[8, 2]
("matmul_0119", "batchmatmul_run", ((), 8, 2, 768, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8, 2] - [2, 768] = float:[8, 768]
("matmul_0120", "batchmatmul_run", ((), 8, 768, 2, (), "float32", False, False, "batch_matmul_output")),
# float - float:[8, 768] - [768, 768]) = float:[8, 768]
("matmul_0121", "batchmatmul_run", ((), 8, 768, 768, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 768]-[2, 768]=float:[128, 2]
("matmul_0122", "batchmatmul_run", ((), 128, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float-float:[16, 768]-[2, 768]=float:[16, 2]
("matmul_0123", "batchmatmul_run", ((), 16, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float-float:[2, 768]-[2, 768]=float:[2, 2]
("matmul_0124", "batchmatmul_run", ((), 2, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 2]-[128, 768]=float:[2, 768]
("matmul_0125", "batchmatmul_run", ((), 2, 768, 128, (), "float32", True, False, "batch_matmul_output")),
# float-float:[16, 2]-[16, 768]=float:[2, 768]
("matmul_0126", "batchmatmul_run", ((), 2, 768, 16, (), "float32", True, False, "batch_matmul_output")),
# float-float:[32, 2]-[32, 768]=float:[2, 768]
("matmul_0127", "batchmatmul_run", ((), 2, 768, 32, (), "float32", True, False, "batch_matmul_output")),
# float-float:[4, 2]-[4, 768]=float:[2, 768]
("matmul_0128", "batchmatmul_run", ((), 2, 768, 4, (), "float32", True, False, "batch_matmul_output")),
# float-float:[8, 2]-[8, 768]=float:[2, 768]
("matmul_0129", "batchmatmul_run", ((), 2, 768, 8, (), "float32", True, False, "batch_matmul_output")),
# float-float:[32, 768]-[2, 768]=float:[32, 2]
("matmul_0130", "batchmatmul_run", ((), 32, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float-float:[4, 768]-[2, 768]=float:[4, 2]
("matmul_0131", "batchmatmul_run", ((), 4, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# float-float:[8, 768]-[2, 768]=float:[8, 2]
("matmul_0132", "batchmatmul_run", ((), 8, 2, 768, (), "float32", False, True, "batch_matmul_output")),
# Neg OP
# float:[128]=float:[128]
("neg_001", "neg_run", ((128,), "float32")),
# float:[16]=float:[16]
("neg_002", "neg_run", ((16,), "float32")),
# float:[1]=float:[1]
("neg_003", "neg_run", ((1,), "float32")),
# float:[2560]=float:[2560]
("neg_004", "neg_run", ((2560,), "float32")),
# float:[2]=float:[2]
("neg_005", "neg_run", ((2,), "float32")),
# float:[320]=float:[320]
("neg_006", "neg_run", ((320,), "float32")),
# float:[32]=float:[32]
("neg_007", "neg_run", ((32,), "float32")),
# float:[40]=float:[40]
("neg_008", "neg_run", ((40,), "float32")),
# float:[4]=float:[4]
("neg_009", "neg_run", ((4,), "float32")),
# float:[640]=float:[640]
("neg_010", "neg_run", ((640,), "float32")),
# float:[80]=float:[80]
("neg_011", "neg_run", ((80,), "float32")),
# float:[10240] = float:[10240]
("neg_012", "neg_run", ((10240,), "float32")),
# float:[1024]=float:[1024]
("neg_013", "neg_run", ((1024,), "float32")),
# float:[1280]=float:[1280]
("neg_014", "neg_run", ((1280,), "float32")),
# float:[160]=float:[160]
("neg_015", "neg_run", ((160,), "float32")),
# float:[20480]=float:[20480]
("neg_016", "neg_run", ((20480,), "float32")),
# float:[20]=float:[20]
("neg_017", "neg_run", ((20,), "float32")),
# float:[256]=float:[256]
("neg_018", "neg_run", ((256,), "float32")),
# float:[5120]=float:[5120]
("neg_019", "neg_run", ((5120,), "float32")),
# float:[512]=float:[512]
("neg_020", "neg_run", ((512,), "float32")),
# float:[64]=float:[64]
("neg_021", "neg_run", ((64,), "float32")),
# float:[8]=float:[8]
("neg_022", "neg_run", ((8,), "float32")),
# onehot OP
# int32-int32-float-float:[128]-[]-[]-[]=float:[128, 2]
("one_hot_001", "one_hot_run", ((128,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[160]-[]-[]-[]=float:[160, 21128]
("one_hot_002", "one_hot_run", ((160,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[16]-[]-[]-[]=float:[16, 2]
("one_hot_003", "one_hot_run", ((16,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[20]-[]-[]-[]=float:[20, 21128]
("one_hot_004", "one_hot_run", ((20,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[2]-[]-[]-[]=float:[2, 2]
("one_hot_005", "one_hot_run", ((2,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[2560]-[]-[]-[]=float:[2560, 21128]
("one_hot_006", "one_hot_run", ((2560,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[1]-[]-[]-[]=float:[2]
("one_hot_007", "one_hot_run", ((1,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[320]-[]-[]-[]=float:[320, 21128]
("one_hot_008", "one_hot_run", ((320,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[32]-[]-[]-[]=float:[32, 2]
("one_hot_009", "one_hot_run", ((32,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[40]-[]-[]-[]=float:[40, 21128]
("one_hot_010", "one_hot_run", ((40,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[4]-[]-[]-[]=float:[4, 2]
("one_hot_011", "one_hot_run", ((4,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[640]-[]-[]-[]=float:[640, 21128]
("one_hot_012", "one_hot_run", ((640,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[80]-[]-[]-[]=float:[80, 21128]
("one_hot_013", "one_hot_run", ((80,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[8]-[]-[]-[]=float:[8, 2]
("one_hot_014", "one_hot_run", ((8,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[64]-[]-[]-[]=float:[64, 2]
("one_hot_015", "one_hot_run", ((64,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[5120]-[]-[]-[]=float:[5120, 21128]
("one_hot_016", "one_hot_run", ((5120,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[512]-[]-[]-[]=float:[512, 2]
("one_hot_017", "one_hot_run", ((512,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[256]-[]-[]-[]=float:[256, 2]
("one_hot_018", "one_hot_run", ((256,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[20480]-[]-[]-[]=float:[20480, 21128]
("one_hot_019", "one_hot_run", ((20480,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[10240]-[]-[]-[]=float:[10240, 21128]
("one_hot_020", "one_hot_run", ((10240,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[1024]-[]-[]-[]=float:[1024, 2]
("one_hot_021", "one_hot_run", ((1024,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[1280]-[]-[]-[]=float:[1280, 21128]
("one_hot_022", "one_hot_run", ((1280,), 21128, "int32", 1, 0, -1)),
# sub OP
# float - float:[1] - [128, 1, 128, 128] = float:[128, 1, 128, 128]
("sub_001", "sub_run", [(1,), (128, 1, 128, 128), "float32"]),
# float - float:[1] - [16, 1, 128, 128] = float:[16, 1, 128, 128]
("sub_002", "sub_run", [(1,), (16, 1, 128, 128), "float32"]),
# float - float:[1] - [1] = float:[1]
("sub_003", "sub_run", [(1,), (1,), "float32"]),
# float - float:[1] - [2, 1, 128, 128] = float:[2, 1, 128, 128]
("sub_004", "sub_run", [(1,), (2, 1, 128, 128), "float32"]),
# float - float:[1] - [32, 1, 128, 128] = float:[32, 1, 128, 128]
("sub_005", "sub_run", [(1,), (32, 1, 128, 128), "float32"]),
# float - float:[1] - [4, 1, 128, 128] = float:[4, 1, 128, 128]
("sub_006", "sub_run", [(1,), (4, 1, 128, 128), "float32"]),
# float - float:[1] - [64, 1, 128, 128] = float:[64, 1, 128, 128]
("sub_007", "sub_run", [(1,), (64, 1, 128, 128), "float32"]),
# float - float:[1] - [8, 1, 128, 128] = float:[8, 1, 128, 128]
("sub_008", "sub_run", [(1,), (8, 1, 128, 128), "float32"]),
# int32 - int32:[128, 128] - [128, 128] = int32:[128, 128]
("sub_010", "sub_run", [(128, 128), (128, 128), "int32"]),
# float - float:[8, 12, 128, 128] - [8, 12, 128, 1] = float:[8, 12, 128, 128]
("sub_011", "sub_run", [(8, 12, 128, 128), (8, 12, 128, 1), "float32"]),
# float - float:[128, 12, 128, 128] - [128, 12, 128, 1] = float:[128, 12, 128, 128]
("sub_012", "sub_run", [(128, 12, 128, 128), (128, 12, 128, 1), "float32"]),
# float - float:[16, 12, 128, 128] - [16, 12, 128, 1] = float:[16, 12, 128, 128]
("sub_013", "sub_run", [(16, 12, 128, 128), (16, 12, 128, 1), "float32"]),
# float - float:[2, 12, 128, 128] - [2, 12, 128, 1] = float:[2, 12, 128, 128]
("sub_014", "sub_run", [(2, 12, 128, 128), (2, 12, 128, 1), "float32"]),
# float - float:[32, 12, 128, 128] - [32, 12, 128, 1] = float:[32, 12, 128, 128]
("sub_015", "sub_run", [(32, 12, 128, 128), (32, 12, 128, 1), "float32"]),
# float - float:[4, 12, 128, 128] - [4, 12, 128, 1] = float:[4, 12, 128, 128]
("sub_016", "sub_run", [(4, 12, 128, 128), (4, 12, 128, 1), "float32"]),
# float - float:[64, 12, 128, 128] - [64, 12, 128, 1] = float:[64, 12, 128, 128]
("sub_017", "sub_run", [(64, 12, 128, 128), (64, 12, 128, 1), "float32"]),
# float-float:[768, 3072]-[768, 3072]=float:[768, 3072]
("sub_018", "sub_run", [(768, 3072), (768, 3072), "float32"]),
# float-float:[768, 768]-[768, 768]=float:[768, 768]
("sub_019", "sub_run", [(768, 768), (768, 768), "float32"]),
# float-float:[768]-[768]=float:[768]
("sub_020", "sub_run", [(768,), (768,), "float32"]),
# float-float:[512, 12, 128, 128]-[512, 12, 128, 1]=float:[512, 12, 128, 128]
("sub_021", "sub_run", [(512, 12, 128, 128), (512, 12, 128, 128), "float32"]),
# float-float:[33, 64]-[33, 64]=float:[33, 64]
("sub_022", "sub_run", [(33, 64), (33, 64), "float32"]),
# float-float:[2]-[2]=float:[2]
("sub_023", "sub_run", [(2,), (2,), "float32"]),
# float-float:[256, 12, 128, 128]-[256, 12, 128, 1]=float:[256, 12, 128, 128]
("sub_024", "sub_run", [(256, 12, 128, 128), (256, 12, 128, 128), "float32"]),
# float-float:[2, 768]-[2, 768]=float:[2, 768]
("sub_025", "sub_run", [(2, 768), (2, 768), "float32"]),
# float-float:[3072]-[3072]=float:[3072]
("sub_026", "sub_run", [(3072,), (3072,), "float32"]),
# float-float:[3072, 768]-[3072, 768]=float:[3072, 768]
("sub_027", "sub_run", [(3072, 768), (3072, 768), "float32"]),
# float-float:[21128]-[21128]=float:[21128]
("sub_028", "sub_run", [(21128,), (21128,), "float32"]),
# float-float:[21128, 768]-[21128, 768]=float:[21128, 768]
("sub_029", "sub_run", [(21128, 768), (21128, 768), "float32"]),
# float-float:[1]-[512, 1, 128, 128]=float:[512, 1, 128, 128]
("sub_030", "sub_run", [(1,), (512, 1, 128, 128), "float32"]),
# float-float:[1]-[256, 1, 128, 128]=float:[256, 1, 128, 128]
("sub_031", "sub_run", [(1,), (256, 1, 128, 128), "float32"]),
# float-float:[1024, 12, 128, 128]-[1024, 12, 128, 1]=float:[1024, 12, 128, 128]
("sub_032", "sub_run", [(1024, 12, 128, 128), (1024, 12, 128, 128), "float32"]),
# float-float:[1]-[1024, 1, 128, 128]=float:[1024, 1, 128, 128]
("sub_033", "sub_run", [(1,), (1024, 1, 128, 128), "float32"]),
# float-float:[1]-[1, 1, 128, 128]=float:[1, 1, 128, 128]
("sub_034", "sub_run", [(1,), (1, 1, 128, 128), "float32"]),
# float-float:[1, 12, 128, 128]-[1, 12, 128, 1]=float:[1, 12, 128, 128]
("sub_035", "sub_run", [(1, 12, 128, 128), (1, 12, 128, 128), "float32"]),
# sub OP
# float - int32:[1, 12, 128, 128] - [-1] = float:[1, 12, 128, 1]
("sum_001", "sum_run", ((1, 12, 128, 128), (-1,), False, "float32")),
# float - int32:[128, 12, 128, 128] - [-1] = float:[128, 12, 128, 1]
("sum_002", "sum_run", ((128, 12, 128, 128), (-1,), False, "float32")),
# float - int32:[16, 12, 128, 128] - [-1] = float:[16, 12, 128, 1]
("sum_003", "sum_run", ((16, 12, 128, 128), (-1,), False, "float32")),
# float - int32:[1280] - [-1] = float:[1]
("sum_004", "sum_run", ((1280,), (-1,), False, "float32")),
# float - int32:[160] - [-1] = float:[1]
("sum_005", "sum_run", ((160,), (-1,), False, "float32")),
# float - int32:[20] - [-1] = float:[1]
("sum_006", "sum_run", ((20,), (-1,), False, "float32")),
# float - int32:[21128] - [-1] = float:[1]
("sum_007", "sum_run", ((21128,), (-1,), False, "float32")),
# float - int32:[2560] - [-1] = float:[1]
("sum_008", "sum_run", ((2560,), (-1,), False, "float32")),
# float - int32:[2] - [-1] = float:[1]
("sum_009", "sum_run", ((2,), (-1,), False, "float32")),
# float - int32:[3072] - [-1] = float:[1]
("sum_010", "sum_run", ((3072,), (-1,), False, "float32")),
# float - int32:[320] - [-1] = float:[1]
("sum_011", "sum_run", ((320,), (-1,), False, "float32")),
# float - int32:[40] - [-1] = float:[1]
("sum_012", "sum_run", ((40,), (-1,), False, "float32")),
# float - int32:[640] - [-1] = float:[1]
("sum_013", "sum_run", ((640,), (-1,), False, "float32")),
# float - int32:[768] - [-1] = float:[1]
("sum_014", "sum_run", ((768,), (-1,), False, "float32")),
# float - int32:[80] - [-1] = float:[1]
("sum_015", "sum_run", ((80,), (-1,), False, "float32")),
# float - int32:[21128, 768] - [-1] = float:[21128]
("sum_016", "sum_run", ((21128,), (-1,), False, "float32")),
# float - int32:[2, 12, 128, 128] - [-1] = float:[2, 12, 128, 1]
("sum_017", "sum_run", ((2, 12, 128, 128,), (-1,), False, "float32")),
# float - int32:[2, 768] - [-1] = float:[2]
("sum_018", "sum_run", ((2, 768), (-1,), False, "float32")),
# float - int32:[3072, 768] - [-1] = float:[3072]
("sum_019", "sum_run", ((3072, 768), (-1,), False, "float32")),
# float - int32:[32, 12, 128, 128] - [-1] = float:[32, 12, 128, 1]
("sum_020", "sum_run", ((32, 12, 128, 128), (-1,), False, "float32")),
# float - int32:[33, 64] - [-1] = float:[33]
("sum_021", "sum_run", ((33, 64), (-1,), False, "float32")),
# float - int32:[4, 12, 128, 128] - [-1] = float:[4, 12, 128, 1]
("sum_022", "sum_run", ((4, 12, 128, 128), (-1,), False, "float32")),
# float - int32:[64, 12, 128, 128] - [-1] = float:[64, 12, 128, 1]
("sum_023", "sum_run", ((64, 12, 128, 128), (-1,), False, "float32")),
# float - int32:[768, 3072] - [-1] = float:[768]
("sum_024", "sum_run", ((768, 3072), (-1,), False, "float32")),
# float - int32:[768, 768] - [-1] = float:[768]
("sum_025", "sum_run", ((768, 768), (-1,), False, "float32")),
# float - int32:[8, 12, 128, 128] - [-1] = float:[8, 12, 128, 1]
("sum_026", "sum_run", ((8, 12, 128, 128), (-1,), False, "float32")),
# float-int32:[80, 21128]-[-1]=float:[21128]
("sum_027", "sum_run", ((80, 21128), (0,), False, "float32")),
# float-int32:[640, 21128]-[-1]=float:[21128]
("sum_028", "sum_run", ((640, 21128), (0,), False, "float32")),
# float-int32:[5120]-[-1]=float:[1]
("sum_029", "sum_run", ((5120,), (0,), False, "float32")),
# float-int32:[5120, 21128]-[-1]=float:[21128]
("sum_030", "sum_run", ((5120, 21128), (0,), False, "float32")),
# float-int32:[512, 12, 128, 128]-[-1]=float:[512, 12, 128, 1]
("sum_031", "sum_run", ((512, 12, 128, 128), (-1,), False, "float32")),
# float-int32:[40, 21128]-[-1]=float:[21128]
("sum_032", "sum_run", ((40, 21128), (0,), False, "float32")),
# float-int32:[320, 21128]-[-1]=float:[21128]
("sum_033", "sum_run", ((320, 21128), (0,), False, "float32")),
# float-int32:[2560, 21128]-[-1]=float:[21128]
("sum_034", "sum_run", ((2560, 21128), (0,), False, "float32")),
# float-int32:[256, 12, 128, 128]-[-1]=float:[256, 12, 128, 1]
("sum_035", "sum_run", ((256, 12, 128, 128), (-1,), False, "float32")),
# float-int32:[20, 21128]-[-1]=float:[21128]
("sum_036", "sum_run", ((20, 21128), (0,), False, "float32")),
# float-int32:[20480]-[-1]=float:[1]
("sum_037", "sum_run", ((20480,), (0,), False, "float32")),
# float-int32:[20480, 21128]-[-1]=float:[21128]
("sum_038", "sum_run", ((20480, 21128), (0,), False, "float32")),
# float-int32:[160, 21128]-[-1]=float:[21128]
("sum_039", "sum_run", ((160, 21128), (0,), False, "float32")),
# float-int32:[1280, 21128]-[-1]=float:[21128]
("sum_040", "sum_run", ((1280, 21128), (0,), False, "float32")),
# float-int32:[10240]-[-1]=float:[1]
("sum_041", "sum_run", ((10240,), (0,), False, "float32")),
# float-int32:[10240, 21128]-[-1]=float:[21128]
("sum_042", "sum_run", ((10240, 21128), (0,), False, "float32")),
# float-int32:[1024, 12, 128, 128]-[-1]=float:[1024, 12, 128, 1]
("sum_043", "sum_run", ((1024, 12, 128, 128), (-1,), False, "float32")),
# StridedSlice OP
# float - int32 - int32 - int32 - int32:[1, 128, 768] - [3] - [3] - [3] - [3] = float:[1, 1, 768]
("strided_slice_001", "strided_slice_run",
((1, 128, 768), [0, 0, 0], [1, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[128, 128, 768] - [3] - [3] - [3] - [3] = float:[128, 1, 768]
("strided_slice_002", "strided_slice_run",
((128, 128, 768), [0, 0, 0], [128, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[16, 128, 768] - [3] - [3] - [3] - [3] = float:[16, 1, 768]
("strided_slice_003", "strided_slice_run",
((16, 128, 768), [0, 0, 0], [16, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[2, 128, 768] - [3] - [3] - [3] - [3] = float:[2, 1, 768]
("strided_slice_004", "strided_slice_run",
((2, 128, 768), [0, 0, 0], [2, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[32, 128, 768] - [3] - [3] - [3] - [3] = float:[32, 1, 768]
("strided_slice_005", "strided_slice_run",
((32, 128, 768), [0, 0, 0], [32, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[4, 128, 768] - [3] - [3] - [3] - [3] = float:[4, 1, 768]
("strided_slice_006", "strided_slice_run",
((4, 128, 768), [0, 0, 0], [4, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[64, 128, 768] - [3] - [3] - [3] - [3] = float:[64, 1, 768]
("strided_slice_007", "strided_slice_run",
((64, 128, 768), [0, 0, 0], [64, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32 - int32:[8, 128, 768] - [3] - [3] - [3] - [3] = float:[8, 1, 768]
("strided_slice_008", "strided_slice_run",
((8, 128, 768), [0, 0, 0], [8, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32:[512, 128, 768] - [3] - [3] - [3] = float:[512, 1, 768]
("strided_slice_009", "strided_slice_run",
((512, 128, 768), [0, 0, 0], [512, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32:[256, 128, 768] - [3] - [3] - [3] = float:[256, 1, 768]
("strided_slice_010", "strided_slice_run",
((256, 128, 768), [0, 0, 0], [256, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float - int32 - int32 - int32:[1024, 128, 768] - [3] - [3] - [3] = float:[1024, 1, 768]
("strided_slice_011", "strided_slice_run",
((1024, 128, 768), [0, 0, 0], [1024, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# StridedSliceGrad OP
# float - int32 - int32 - int32 - int32:[1, 1, 768] - [3] - [3] - [3] - [3] = float:[1, 128, 768]
("strided_slice_grad_001", "strided_slice_grad_run",
[(1, 128, 768), [0, 0, 0], [1, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (1, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[128, 1, 768] - [3] - [3] - [3] - [3] = float:[128, 128, 768]
("strided_slice_grad_002", "strided_slice_grad_run",
[(128, 128, 768), [0, 0, 0], [128, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (128, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[16, 1, 768] - [3] - [3] - [3] - [3] = float:[16, 128, 768]
("strided_slice_grad_003", "strided_slice_grad_run",
[(16, 128, 768), [0, 0, 0], [16, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (16, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[2, 1, 768] - [3] - [3] - [3] - [3] = float:[2, 128, 768]
("strided_slice_grad_004", "strided_slice_grad_run",
[(2, 128, 768), [0, 0, 0], [2, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (2, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[32, 1, 768] - [3] - [3] - [3] - [3] = float:[32, 128, 768]
("strided_slice_grad_005", "strided_slice_grad_run",
[(32, 128, 768), [0, 0, 0], [32, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (32, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[4, 1, 768] - [3] - [3] - [3] - [3] = float:[4, 128, 768]
("strided_slice_grad_006", "strided_slice_grad_run",
[(4, 128, 768), [0, 0, 0], [4, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (4, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[64, 1, 768] - [3] - [3] - [3] - [3] = float:[64, 128, 768]
("strided_slice_grad_007", "strided_slice_grad_run",
[(64, 128, 768), [0, 0, 0], [64, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (64, 1, 768), "int32"]),
# float - int32 - int32 - int32 - int32:[8, 1, 768] - [3] - [3] - [3] - [3] = float:[8, 128, 768]
("strided_slice_grad_008", "strided_slice_grad_run",
[(8, 128, 768), [0, 0, 0], [8, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (8, 1, 768), "int32"]),
# float - int32 - int32 - int32:[512, 128, 768] - [3] - [3] - [3] = float:[512, 1, 768]
("strided_slice_grad_009", "strided_slice_grad_run",
((512, 128, 768), [0, 0, 0], [512, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (512, 1, 768), "int32")),
# float - int32 - int32 - int32:[256, 128, 768] - [3] - [3] - [3] = float:[256, 1, 768]
("strided_slice_grad_010", "strided_slice_grad_run",
((256, 128, 768), [0, 0, 0], [256, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (256, 1, 768), "int32")),
# float - int32 - int32 - int32:[1024, 128, 768] - [3] - [3] - [3] = float:[1024, 1, 768]
("strided_slice_grad_011", "strided_slice_grad_run",
((1024, 128, 768), [0, 0, 0], [1024, 1, 768], [1, 1, 1], 0, 0, 0, 0, 0, (1024, 1, 768), "int32")),
# Tanh OP
# float:[1024, 768]=float:[1024, 768]
("tanh_001", "tanh_run", ((1024, 768), "float32")),
# float:[128, 768]=float:[128, 768]
("tanh_002", "tanh_run", ((128, 768), "float32")),
# float:[16, 768]=float:[16, 768]
("tanh_003", "tanh_run", ((16, 768), "float32")),
# float:[1, 768]=float:[1, 768]
("tanh_004", "tanh_run", ((1, 768), "float32")),
# float:[256, 768]=float:[256, 768]
("tanh_005", "tanh_run", ((256, 768), "float32")),
# float:[2, 768]=float:[2, 768]
("tanh_006", "tanh_run", ((2, 768), "float32")),
# float:[32, 768]=float:[32, 768]
("tanh_007", "tanh_run", ((32, 768), "float32")),
# float:[4, 768]=float:[4, 768]
("tanh_008", "tanh_run", ((4, 768), "float32")),
# float:[512, 768]=float:[512, 768]
("tanh_009", "tanh_run", ((512, 768), "float32")),
# float:[64, 768]=float:[64, 768]
("tanh_010", "tanh_run", ((64, 768), "float32")),
# float:[8, 768]=float:[8, 768]
("tanh_011", "tanh_run", ((8, 768), "float32")),
# TanhGrad OP
# float:[1024, 768]=float:[1024, 768]
("tanh_001", "tanh_grad_run", ((1024, 768), "float32")),
# float:[128, 768]=float:[128, 768]
("tanh_002", "tanh_grad_run", ((128, 768), "float32")),
# float:[16, 768]=float:[16, 768]
("tanh_003", "tanh_grad_run", ((16, 768), "float32")),
# float:[1, 768]=float:[1, 768]
("tanh_004", "tanh_grad_run", ((1, 768), "float32")),
# float:[256, 768]=float:[256, 768]
("tanh_005", "tanh_grad_run", ((256, 768), "float32")),
# float:[2, 768]=float:[2, 768]
("tanh_006", "tanh_grad_run", ((2, 768), "float32")),
# float:[32, 768]=float:[32, 768]
("tanh_007", "tanh_grad_run", ((32, 768), "float32")),
# float:[4, 768]=float:[4, 768]
("tanh_008", "tanh_grad_run", ((4, 768), "float32")),
# float:[512, 768]=float:[512, 768]
("tanh_009", "tanh_grad_run", ((512, 768), "float32")),
# float:[64, 768]=float:[64, 768]
("tanh_010", "tanh_grad_run", ((64, 768), "float32")),
# float:[8, 768]=float:[8, 768]
("tanh_011", "tanh_grad_run", ((8, 768), "float32")),
# reshape OP
# float-int32:[10240]-[2]=float:[10240, 1]
("reshape_0001", "reshape_run", [(10240,), (10240, 1), "float32"]),
("reshape_0002", "reshape_run", [(10240, 1), (10240,), "float32"]),
# float-int32:[10240]-[]=float:[512, 20]
("reshape_0003", "reshape_run", [(10240,), (512, 20), "float32"]),
("reshape_0004", "reshape_run", [(512, 20), (10240,), "float32"]),
# float-int32:[1024, 128, 12, 64]-[2]=float:[131072, 768]
("reshape_0005", "reshape_run", [(1024, 128, 12, 64), (131072, 768), "float32"]),
("reshape_0006", "reshape_run", [(131072, 768), (1024, 128, 12, 64), "float32"]),
# float-int32:[1024, 128, 768]-[2]=float:[131072, 768]
("reshape_0007", "reshape_run", [(1024, 128, 768), (131072, 768), "float32"]),
("reshape_0008", "reshape_run", [(131072, 768), (1024, 128, 768), "float32"]),
# float-int32:[1024, 20]-[]=float:[20480]
("reshape_0009", "reshape_run", [(1024, 20), (20480,), "float32"]),
("reshape_0010", "reshape_run", [(20480,), (1024, 20), "float32"]),
# float-int32:[1024]-[2]=float:[1024, 1]
("reshape_0011", "reshape_run", [(1024,), (1024, 1), "float32"]),
("reshape_0012", "reshape_run", [(1024, 1), (1024,), "float32"]),
# float-int32:[1024, 768]-[2]=float:[1024, 768]
("reshape_0013", "reshape_run", [(1024, 768), (1024, 768), "float32"]),
# float-int32:[1024, 768]-[3]=float:[1024, 1, 768]
("reshape_0014", "reshape_run", [(1024, 768), (1024, 1, 768), "float32"]),
("reshape_0015", "reshape_run", [(1024, 1, 768), (1024, 768), "float32"]),
# float-int32:[1024, 768]-[3]=float:[8, 128, 768]
("reshape_0016", "reshape_run", [(1024, 768), (8, 128, 768), "float32"]),
("reshape_0017", "reshape_run", [(8, 128, 768), (1024, 768), "float32"]),
# float-int32:[1024, 768]-[4]=float:[8, 128, 12, 64]
("reshape_0018", "reshape_run", [(1024, 768), (8, 128, 12, 64), "float32"]),
("reshape_0019", "reshape_run", [(8, 128, 12, 64), (1024, 768), "float32"]),
# float-int32:[1, 128, 12, 64]-[2]=float:[128, 768]
("reshape_0020", "reshape_run", [(1, 128, 12, 64), (128, 768), "float32"]),
("reshape_0021", "reshape_run", [(128, 768), (1, 128, 12, 64), "float32"]),
# float-int32:[1, 128, 768]-[2]=float:[128, 768]
("reshape_0022", "reshape_run", [(1, 128, 768), (128, 768), "float32"]),
("reshape_0023", "reshape_run", [(128, 768), (1, 128, 768), "float32"]),
# float-int32:[1, 20]-[]=float:[20]
("reshape_0024", "reshape_run", [(1, 20), (20,), "float32"]),
("reshape_0025", "reshape_run", [(20,), (1, 20), "float32"]),
# float-int32:[1, 21128]-[]=float:[21128]
("reshape_0026", "reshape_run", [(1, 21128), (21128,), "float32"]),
("reshape_0027", "reshape_run", [(21128,), (1, 21128), "float32"]),
# float-int32:[1280]-[2]=float:[1280, 1]
("reshape_0028", "reshape_run", [(1280,), (1280, 1), "float32"]),
("reshape_0029", "reshape_run", [(1280, 1), (1280,), "float32"]),
# float-int32:[1280]-[]=float:[64, 20]
("reshape_0030", "reshape_run", [(1280,), (64, 20), "float32"]),
("reshape_0031", "reshape_run", [(64, 20), (1280,), "float32"]),
# float-int32:[128, 1024, 12, 128]-[3]=float:[128, 12288, 128]
("reshape_0032", "reshape_run", [(128, 1024, 12, 128), (128, 12288, 128), "float32"]),
("reshape_0033", "reshape_run", [(128, 12288, 128), (128, 1024, 12, 128), "float32"]),
# float-int32:[128, 1024, 12, 64]-[3]=float:[128, 12288, 64]
("reshape_0034", "reshape_run", [(128, 1024, 12, 64), (128, 12288, 64), "float32"]),
("reshape_0035", "reshape_run", [(128, 12288, 64), (128, 1024, 12, 64), "float32"]),
# float-int32:[128, 1, 12, 128]-[3]=float:[128, 12, 128]
("reshape_0036", "reshape_run", [(128, 1, 12, 128), (128, 12, 128), "float32"]),
("reshape_0037", "reshape_run", [(128, 12, 128), (128, 1, 12, 128), "float32"]),
# float-int32:[128, 1, 12, 64]-[3]=float:[128, 12, 64]
("reshape_0038", "reshape_run", [(128, 1, 12, 64), (128, 12, 64), "float32"]),
("reshape_0039", "reshape_run", [(128, 12, 64), (128, 1, 12, 64), "float32"]),
# float-int32:[128, 128, 12, 128]-[3]=float:[128, 1536, 128]
("reshape_0040", "reshape_run", [(128, 128, 12, 128), (128, 1536, 128), "float32"]),
("reshape_0041", "reshape_run", [(128, 1536, 128), (128, 128, 12, 128), "float32"]),
# float-int32:[128, 128, 12, 64]-[2]=float:[16384, 768]
("reshape_0042", "reshape_run", [(128, 128, 12, 64), (16384, 768), "float32"]),
("reshape_0043", "reshape_run", [(16384, 768), (128, 128, 12, 64), "float32"]),
# float-int32:[128, 128, 12, 64]-[3]=float:[128, 1536, 64]
("reshape_0044", "reshape_run", [(128, 128, 12, 64), (128, 1536, 64), "float32"]),
("reshape_0045", "reshape_run", [(128, 1536, 64), (128, 128, 12, 64), "float32"]),
# float-int32:[128, 128, 768]-[2]=float:[16384, 768]
("reshape_0046", "reshape_run", [(128, 128, 768), (16384, 768), "float32"]),
("reshape_0047", "reshape_run", [(16384, 768), (128, 128, 768), "float32"]),
# float-int32:[128, 16, 12, 128]-[3]=float:[128, 192, 128]
("reshape_0048", "reshape_run", [(128, 16, 12, 128), (128, 192, 128), "float32"]),
("reshape_0049", "reshape_run", [(128, 192, 128), (128, 16, 12, 128), "float32"]),
# float-int32:[128, 16, 12, 64]-[3]=float:[128, 192, 64]
("reshape_0050", "reshape_run", [(128, 16, 12, 64), (128, 192, 64), "float32"]),
("reshape_0051", "reshape_run", [(128, 192, 64), (128, 16, 12, 64), "float32"]),
# float-int32:[128, 20]-[]=float:[2560]
("reshape_0052", "reshape_run", [(128, 20), (2560,), "float32"]),
("reshape_0053", "reshape_run", [(2560,), (128, 20), "float32"]),
# float-int32:[128, 2, 12, 128]-[3]=float:[128, 24, 128]
("reshape_0054", "reshape_run", [(128, 2, 12, 128), (128, 24, 128), "float32"]),
("reshape_0055", "reshape_run", [(128, 24, 128), (128, 2, 12, 128), "float32"]),
# float-int32:[128, 2, 12, 64]-[3]=float:[128, 24, 64]
("reshape_0056", "reshape_run", [(128, 2, 12, 64), (128, 24, 64), "float32"]),
("reshape_0057", "reshape_run", [(128, 24, 64), (128, 2, 12, 64), "float32"]),
# float-int32:[128, 256, 12, 128]-[3]=float:[128, 3072, 128]
("reshape_0058", "reshape_run", [(128, 256, 12, 128), (128, 3072, 128), "float32"]),
("reshape_0059", "reshape_run", [(128, 3072, 128), (128, 256, 12, 128), "float32"]),
# float-int32:[128, 256, 12, 64]-[3]=float:[128, 3072, 64]
("reshape_0060", "reshape_run", [(128, 256, 12, 64), (128, 3072, 64), "float32"]),
("reshape_0061", "reshape_run", [(128, 3072, 64), (128, 256, 12, 64), "float32"]),
# float-int32:[128]-[2]=float:[128, 1]
("reshape_0062", "reshape_run", [(128,), (128, 1), "float32"]),
("reshape_0063", "reshape_run", [(128, 1), (128,), "float32"]),
# float-int32:[128, 32, 12, 128]-[3]=float:[128, 384, 128]
("reshape_0064", "reshape_run", [(128, 32, 12, 128), (128, 384, 128), "float32"]),
("reshape_0065", "reshape_run", [(128, 384, 128), (128, 32, 12, 128), "float32"]),
# float-int32:[128, 32, 12, 64]-[3]=float:[128, 384, 64]
("reshape_0066", "reshape_run", [(128, 32, 12, 64), (128, 384, 64), "float32"]),
("reshape_0067", "reshape_run", [(128, 384, 64), (128, 32, 12, 64), "float32"]),
# float-int32:[128, 4, 12, 128]-[3]=float:[128, 48, 128]
("reshape_0068", "reshape_run", [(128, 4, 12, 128), (128, 48, 128), "float32"]),
("reshape_0069", "reshape_run", [(128, 48, 128), (128, 4, 12, 128), "float32"]),
# float-int32:[128, 4, 12, 64]-[3]=float:[128, 48, 64]
("reshape_0070", "reshape_run", [(128, 4, 12, 64), (128, 48, 64), "float32"]),
("reshape_0071", "reshape_run", [(128, 48, 64), (128, 4, 12, 64), "float32"]),
# float-int32:[128, 512, 12, 128]-[3]=float:[128, 6144, 128]
("reshape_0072", "reshape_run", [(128, 512, 12, 128), (128, 6144, 128), "float32"]),
("reshape_0073", "reshape_run", [(128, 6144, 128), (128, 512, 12, 128), "float32"]),
# float-int32:[128, 512, 12, 64]-[3]=float:[128, 6144, 64]
("reshape_0074", "reshape_run", [(128, 512, 12, 64), (128, 6144, 64), "float32"]),
("reshape_0075", "reshape_run", [(128, 6144, 64), (128, 512, 12, 64), "float32"]),
# float-int32:[128, 64, 12, 128]-[3]=float:[128, 768, 128]
("reshape_0076", "reshape_run", [(128, 64, 12, 128), (128, 768, 128), "float32"]),
("reshape_0077", "reshape_run", [(128, 768, 128), (128, 64, 12, 128), "float32"]),
# float-int32:[128, 64, 12, 64]-[3]=float:[128, 768, 64]
("reshape_0078", "reshape_run", [(128, 64, 12, 64), (128, 768, 64), "float32"]),
("reshape_0079", "reshape_run", [(128, 768, 64), (128, 64, 12, 64), "float32"]),
# float-int32:[128, 768]-[2]=float:[128, 768]
("reshape_0080", "reshape_run", [(128, 768), (128, 768), "float32"]),
# float-int32:[128, 768]-[3]=float:[128, 1, 768]
("reshape_0081", "reshape_run", [(128, 768), (128, 1, 768), "float32"]),
("reshape_0082", "reshape_run", [(128, 1, 768), (128, 768), "float32"]),
# float-int32:[128, 8, 12, 128]-[3]=float:[128, 96, 128]
("reshape_0083", "reshape_run", [(128, 8, 12, 128), (128, 96, 128), "float32"]),
("reshape_0084", "reshape_run", [(128, 96, 128), (128, 8, 12, 128), "float32"]),
# float-int32:[128, 8, 12, 64]-[3]=float:[128, 96, 64]
("reshape_0085", "reshape_run", [(128, 8, 12, 64), (128, 96, 64), "float32"]),
("reshape_0086", "reshape_run", [(128, 96, 64), (128, 8, 12, 64), "float32"]),
# float-int32:[1]-[2]=float:[1, 1]
("reshape_0087", "reshape_run", [(1,), (1, 1), "float32"]),
("reshape_0088", "reshape_run", [(1, 1), (1,), "float32"]),
# float-int32:[1, 2]-[]=float:[2]
("reshape_0089", "reshape_run", [(1, 2), (2,), "float32"]),
("reshape_0090", "reshape_run", [(2,), (1, 2), "float32"]),
# float-int32:[1, 3072]-[]=float:[3072]
("reshape_0091", "reshape_run", [(1, 3072), (3072,), "float32"]),
("reshape_0092", "reshape_run", [(3072,), (1, 3072), "float32"]),
# float-int32:[131072, 768]-[2]=float:[131072, 768]
("reshape_0093", "reshape_run", [(131072, 768), (131072, 768), "float32"]),
# float-int32:[160]-[2]=float:[160, 1]
("reshape_0094", "reshape_run", [(160,), (160, 1), "float32"]),
("reshape_0095", "reshape_run", [(160, 1), (160,), "float32"]),
# float-int32:[160]-[]=float:[8, 20]
("reshape_0096", "reshape_run", [(160,), (8, 20), "float32"]),
("reshape_0097", "reshape_run", [(8, 20), (160,), "float32"]),
# float-int32:[16, 128, 12, 64]-[2]=float:[2048, 768]
("reshape_0098", "reshape_run", [(16, 128, 12, 64), (2048, 768), "float32"]),
("reshape_0099", "reshape_run", [(2048, 768), (16, 128, 12, 64), "float32"]),
# float-int32:[16, 128, 768]-[2]=float:[2048, 768]
("reshape_0100", "reshape_run", [(16, 128, 768), (2048, 768), "float32"]),
("reshape_0101", "reshape_run", [(2048, 768), (16, 128, 768), "float32"]),
# float-int32:[16, 20]-[]=float:[320]
("reshape_0102", "reshape_run", [(16, 20), (320,), "float32"]),
("reshape_0103", "reshape_run", [(320,), (16, 20), "float32"]),
# float-int32:[16]-[2]=float:[16, 1]
("reshape_0104", "reshape_run", [(16,), (16, 1), "float32"]),
("reshape_0105", "reshape_run", [(16, 1), (16,), "float32"]),
# float-int32:[16384, 768]-[2]=float:[16384, 768]
("reshape_0106", "reshape_run", [(16384, 768), (16384, 768), "float32"]),
# float-int32:[16, 768]-[3]=float:[16, 1, 768]
("reshape_0107", "reshape_run", [(16, 768), (16, 1, 768), "float32"]),
("reshape_0108", "reshape_run", [(16, 1, 768), (16, 768), "float32"]),
# float-int32:[1, 768]-[3]=float:[1, 1, 768]
("reshape_0109", "reshape_run", [(1, 768), (1, 1, 768), "float32"]),
("reshape_0110", "reshape_run", [(1, 1, 768), (1, 768), "float32"]),
# float-int32:[1, 768]-[]=float:[768]
("reshape_0111", "reshape_run", [(1, 768), (768,), "float32"]),
("reshape_0112", "reshape_run", [(768,), (1, 768), "float32"]),
# float-int32:[1]-[]=float:[1]
("reshape_0113", "reshape_run", [(1,), (1,), "float32"]),
# float-int32:[20]-[2]=float:[20, 1]
("reshape_0114", "reshape_run", [(20,), (20, 1), "float32"]),
("reshape_0115", "reshape_run", [(20, 1), (20,), "float32"]),
# float-int32:[20480]-[2]=float:[20480, 1]
("reshape_0116", "reshape_run", [(20480,), (20480, 1), "float32"]),
("reshape_0117", "reshape_run", [(20480, 1), (20480,), "float32"]),
# float-int32:[2048, 768]-[2]=float:[2048, 768]
("reshape_0118", "reshape_run", [(2048, 768), (2048, 768), "float32"]),
# float-int32:[21128, 768]-[2]=float:[21128, 768]
("reshape_0119", "reshape_run", [(21128, 768), (21128, 768), "float32"]),
# float-int32:[21128]-[]=float:[21128]
("reshape_0120", "reshape_run", [(21128,), (21128,), "float32"]),
# float-int32:[2, 128, 12, 64]-[2]=float:[256, 768]
("reshape_0121", "reshape_run", [(2, 128, 12, 64), (256, 768), "float32"]),
("reshape_0122", "reshape_run", [(256, 768), (2, 128, 12, 64), "float32"]),
# float-int32:[2, 128, 768]-[2]=float:[256, 768]
("reshape_0123", "reshape_run", [(2, 128, 768), (256, 768), "float32"]),
("reshape_0124", "reshape_run", [(256, 768), (2, 128, 768), "float32"]),
# float-int32:[2, 20]-[]=float:[40]
("reshape_0125", "reshape_run", [(2, 20), (40,), "float32"]),
("reshape_0126", "reshape_run", [(40,), (2, 20), "float32"]),
# float-int32:[2]-[2]=float:[2, 1]
("reshape_0127", "reshape_run", [(2,), (2, 1), "float32"]),
("reshape_0128", "reshape_run", [(2, 1), (2,), "float32"]),
# float-int32:[2560]-[2]=float:[2560, 1]
("reshape_0129", "reshape_run", [(2560,), (2560, 1), "float32"]),
("reshape_0130", "reshape_run", [(2560, 1), (2560,), "float32"]),
# float-int32:[256, 128, 12, 64]-[2]=float:[32768, 768]
("reshape_0131", "reshape_run", [(256, 128, 12, 64), (32768, 768), "float32"]),
("reshape_0132", "reshape_run", [(32768, 768), (256, 128, 12, 64), "float32"]),
# float-int32:[256, 128, 768]-[2]=float:[32768, 768]
("reshape_0133", "reshape_run", [(256, 128, 768), (32768, 768), "float32"]),
("reshape_0134", "reshape_run", [(32768, 768), (256, 128, 768), "float32"]),
# float-int32:[256, 20]-[]=float:[5120]
("reshape_0135", "reshape_run", [(256, 20), (5120,), "float32"]),
("reshape_0136", "reshape_run", [(5120,), (256, 20), "float32"]),
# float-int32:[256]-[2]=float:[256, 1]
("reshape_0137", "reshape_run", [(256,), (256, 1), "float32"]),
("reshape_0138", "reshape_run", [(256, 1), (256,), "float32"]),
# float-int32:[256, 768]-[2]=float:[256, 768]
("reshape_0139", "reshape_run", [(256, 768), (256, 768), "float32"]),
# float-int32:[256, 768]-[3]=float:[256, 1, 768]
("reshape_0140", "reshape_run", [(256, 768), (256, 1, 768), "float32"]),
("reshape_0141", "reshape_run", [(256, 1, 768), (256, 768), "float32"]),
# float-int32:[2, 768]-[2]=float:[2, 768]
("reshape_0142", "reshape_run", [(2, 768), (2, 768), "float32"]),
# float-int32:[2, 768]-[3]=float:[2, 1, 768]
("reshape_0143", "reshape_run", [(2, 768), (2, 1, 768), "float32"]),
("reshape_0144", "reshape_run", [(2, 1, 768), (2, 768), "float32"]),
# float-int32:[2]-[]=float:[2]
("reshape_0145", "reshape_run", [(2,), (2,), "float32"]),
# float-int32:[3072, 768]-[2]=float:[3072, 768]
("reshape_0146", "reshape_run", [(3072, 768), (3072, 768), "float32"]),
# float-int32:[3072]-[]=float:[3072]
("reshape_0147", "reshape_run", [(3072,), (3072,), "float32"]),
# float-int32:[320]-[2]=float:[320, 1]
("reshape_0148", "reshape_run", [(320,), (320, 1), "float32"]),
("reshape_0149", "reshape_run", [(320, 1), (320,), "float32"]),
# float-int32:[32, 128, 12, 64]-[2]=float:[4096, 768]
("reshape_0150", "reshape_run", [(32, 128, 12, 64), (4096, 768), "float32"]),
("reshape_0151", "reshape_run", [(4096, 768), (32, 128, 12, 64), "float32"]),
# float-int32:[32, 128, 768]-[2]=float:[4096, 768]
("reshape_0152", "reshape_run", [(32, 128, 768), (4096, 768), "float32"]),
("reshape_0153", "reshape_run", [(4096, 768), (32, 128, 768), "float32"]),
# float-int32:[32, 20]-[]=float:[640]
("reshape_0154", "reshape_run", [(32, 20), (640,), "float32"]),
("reshape_0155", "reshape_run", [(640,), (32, 20), "float32"]),
# float-int32:[32]-[2]=float:[32, 1]
("reshape_0156", "reshape_run", [(32,), (32, 1), "float32"]),
("reshape_0157", "reshape_run", [(32, 1), (32,), "float32"]),
# float-int32:[32, 768]-[3]=float:[32, 1, 768]
("reshape_0158", "reshape_run", [(32, 768), (32, 1, 768), "float32"]),
("reshape_0159", "reshape_run", [(32, 1, 768), (32, 768), "float32"]),
# float-int32:[32768, 768]-[2]=float:[32768, 768]
("reshape_0160", "reshape_run", [(32768, 768), (32768, 768), "float32"]),
# float-int32:[33, 64]-[2]=float:[33, 64]
("reshape_0161", "reshape_run", [(33, 64), (33, 64), "float32"]),
# float-int32:[40]-[2]=float:[40, 1]
("reshape_0162", "reshape_run", [(40,), (40, 1), "float32"]),
("reshape_0163", "reshape_run", [(40, 1), (40,), "float32"]),
# float-int32:[4096, 768]-[2]=float:[4096, 768]
("reshape_0164", "reshape_run", [(4096, 768), (4096, 768), "float32"]),
# float-int32:[4, 128, 12, 64]-[2]=float:[512, 768]
("reshape_0165", "reshape_run", [(4, 128, 12, 64), (512, 768), "float32"]),
("reshape_0166", "reshape_run", [(512, 768), (4, 128, 12, 64), "float32"]),
# float-int32:[4, 128, 768]-[2]=float:[512, 768]
("reshape_0167", "reshape_run", [(4, 128, 768), (512, 768), "float32"]),
("reshape_0168", "reshape_run", [(512, 768), (4, 128, 768), "float32"]),
# float-int32:[4, 20]-[]=float:[80]
("reshape_0169", "reshape_run", [(4, 20), (80,), "float32"]),
("reshape_0170", "reshape_run", [(80,), (4, 20), "float32"]),
# float-int32:[4]-[2]=float:[4, 1]
("reshape_0171", "reshape_run", [(4,), (4, 1), "float32"]),
("reshape_0172", "reshape_run", [(4, 1), (4,), "float32"]),
# float-int32:[4, 768]-[3]=float:[4, 1, 768]
("reshape_0173", "reshape_run", [(4, 768), (4, 1, 768), "float32"]),
("reshape_0174", "reshape_run", [(4, 1, 768), (4, 768), "float32"]),
# float-int32:[5120]-[2]=float:[5120, 1]
("reshape_0175", "reshape_run", [(5120,), (5120, 1), "float32"]),
("reshape_0176", "reshape_run", [(5120, 1), (5120,), "float32"]),
# float-int32:[512, 128, 12, 64]-[2]=float:[65536, 768]
("reshape_0177", "reshape_run", [(512, 128, 12, 64), (65536, 768), "float32"]),
("reshape_0178", "reshape_run", [(65536, 768), (512, 128, 12, 64), "float32"]),
# float-int32:[512, 128, 768]-[2]=float:[65536, 768]
("reshape_0179", "reshape_run", [(512, 128, 768), (65536, 768), "float32"]),
("reshape_0180", "reshape_run", [(65536, 768), (512, 128, 768), "float32"]),
# float-int32:[512]-[2]=float:[512, 1]
("reshape_0181", "reshape_run", [(512,), (512, 1), "float32"]),
("reshape_0182", "reshape_run", [(512, 1), (512,), "float32"]),
# float-int32:[512, 768]-[2]=float:[512, 768]
("reshape_0183", "reshape_run", [(512, 768), (512, 768), "float32"]),
# float-int32:[512, 768]-[3]=float:[512, 1, 768]
("reshape_0184", "reshape_run", [(512, 768), (512, 1, 768), "float32"]),
("reshape_0185", "reshape_run", [(512, 1, 768), (512, 768), "float32"]),
# float-int32:[640]-[2]=float:[640, 1]
("reshape_0186", "reshape_run", [(640,), (640, 1), "float32"]),
("reshape_0187", "reshape_run", [(640, 1), (640,), "float32"]),
# float-int32:[64, 128, 12, 64]-[2]=float:[8192, 768]
("reshape_0188", "reshape_run", [(64, 128, 12, 64), (8192, 768), "float32"]),
("reshape_0189", "reshape_run", [(8192, 768), (64, 128, 12, 64), "float32"]),
# float-int32:[64, 128, 768]-[2]=float:[8192, 768]
("reshape_0190", "reshape_run", [(64, 128, 768), (8192, 768), "float32"]),
("reshape_0191", "reshape_run", [(8192, 768), (64, 128, 768), "float32"]),
# float-int32:[64]-[2]=float:[64, 1]
("reshape_0192", "reshape_run", [(64,), (64, 1), "float32"]),
("reshape_0193", "reshape_run", [(64, 1), (64,), "float32"]),
# float-int32:[64, 768]-[3]=float:[64, 1, 768]
("reshape_0194", "reshape_run", [(64, 768), (64, 1, 768), "float32"]),
("reshape_0195", "reshape_run", [(64, 1, 768), (64, 768), "float32"]),
# float-int32:[65536, 768]-[2]=float:[65536, 768]
("reshape_0196", "reshape_run", [(65536, 768), (65536, 768), "float32"]),
# float-int32:[768, 3072]-[2]=float:[768, 3072]
("reshape_0197", "reshape_run", [(768, 3072), (768, 3072), "float32"]),
# float-int32:[768, 768]-[2]=float:[768, 768]
("reshape_0198", "reshape_run", [(768, 768), (768, 768), "float32"]),
# float-int32:[768]-[]=float:[768]
("reshape_0199", "reshape_run", [(768,), (768,), "float32"]),
# float-int32:[80]-[2]=float:[80, 1]
("reshape_0200", "reshape_run", [(80,), (80, 1), "float32"]),
("reshape_0201", "reshape_run", [(80, 1), (80,), "float32"]),
# float-int32:[8192, 768]-[2]=float:[8192, 768]
("reshape_0202", "reshape_run", [(8192, 768), (8192, 768), "float32"]),
# float-int32:[8]-[2]=float:[8, 1]
("reshape_0203", "reshape_run", [(8,), (8, 1), "float32"]),
("reshape_0204", "reshape_run", [(8, 1), (8,), "float32"]),
# float-int32:[8, 768]-[3]=float:[8, 1, 768]
("reshape_0205", "reshape_run", [(8, 768), (8, 1, 768), "float32"]),
("reshape_0206", "reshape_run", [(8, 1, 768), (8, 768), "float32"]),
# int32-int32:[10240]-[]=int32:[512, 20]
("reshape_0207", "reshape_run", [(10240,), (512, 20), "int32"]),
("reshape_0208", "reshape_run", [(512, 20), (10240,), "int32"]),
# int32-int32:[1024, 1, 128]-[3]=int32:[1024, 128]
("reshape_0209", "reshape_run", [(1024, 1, 128), (1024, 128), "int32"]),
("reshape_0210", "reshape_run", [(1024, 128), (1024, 1, 128), "int32"]),
# int32-int32:[1024, 128, 1]-[]=int32:[131072]
("reshape_0211", "reshape_run", [(1024, 128, 1), (131072,), "int32"]),
("reshape_0212", "reshape_run", [(131072,), (1024, 128, 1), "int32"]),
# int32-int32:[1024, 128]-[]=int32:[131072]
("reshape_0213", "reshape_run", [(1024, 128), (131072,), "int32"]),
("reshape_0214", "reshape_run", [(131072,), (1024, 128), "int32"]),
# int32-int32:[1024, 1]-[2]=int32:[1024]
("reshape_0215", "reshape_run", [(1024, 1), (1024,), "int32"]),
("reshape_0216", "reshape_run", [(1024,), (1024, 1), "int32"]),
# int32-int32:[1024, 20]-[]=int32:[20480]
("reshape_0217", "reshape_run", [(1024, 20), (20480,), "int32"]),
("reshape_0218", "reshape_run", [(20480,), (1024, 20), "int32"]),
# int32-int32:[1024]-[]=int32:[8, 128]
("reshape_0219", "reshape_run", [(1024,), (8, 128), "int32"]),
("reshape_0220", "reshape_run", [(8, 128), (1024,), "int32"]),
# int32-int32:[1024]-[]=int32:[8, 128, 1]
("reshape_0221", "reshape_run", [(1024,), (8, 128, 1), "int32"]),
("reshape_0222", "reshape_run", [(8, 128, 1), (1024,), "int32"]),
# int32-int32:[1, 1, 128]-[3]=int32:[1, 128]
("reshape_0223", "reshape_run", [(1, 1, 128), (1, 128), "int32"]),
("reshape_0224", "reshape_run", [(1, 128), (1, 1, 128), "int32"]),
# int32-int32:[1, 128, 1]-[]=int32:[128]
("reshape_0225", "reshape_run", [(1, 128, 1), (128,), "int32"]),
("reshape_0226", "reshape_run", [(128,), (1, 128, 1), "int32"]),
# int32-int32:[1, 128]-[]=int32:[128]
("reshape_0227", "reshape_run", [(1, 128), (128,), "int32"]),
("reshape_0228", "reshape_run", [(128,), (1, 128), "int32"]),
# int32-int32:[1, 1]-[2]=int32:[1]
("reshape_0229", "reshape_run", [(1, 1), (1,), "int32"]),
("reshape_0230", "reshape_run", [(1,), (1, 1), "int32"]),
# int32-int32:[1, 20]-[]=int32:[20]
("reshape_0231", "reshape_run", [(1, 20), (20,), "int32"]),
("reshape_0232", "reshape_run", [(20,), (1, 20), "int32"]),
# int32-int32:[1280]-[]=int32:[64, 20]
("reshape_0233", "reshape_run", [(1280,), (64, 20), "int32"]),
("reshape_0234", "reshape_run", [(64, 20), (1280,), "int32"]),
# int32-int32:[128, 1, 128]-[3]=int32:[128, 128]
("reshape_0235", "reshape_run", [(128, 1, 128), (128, 128), "int32"]),
("reshape_0236", "reshape_run", [(128, 128), (128, 1, 128), "int32"]),
# int32-int32:[128, 128, 1]-[]=int32:[16384]
("reshape_0237", "reshape_run", [(128, 128, 1), (16384,), "int32"]),
("reshape_0238", "reshape_run", [(16384,), (128, 128, 1), "int32"]),
# int32-int32:[128, 128]-[2]=int32:[16384]
("reshape_0239", "reshape_run", [(128, 128), (16384,), "int32"]),
("reshape_0240", "reshape_run", [(16384,), (128, 128), "int32"]),
# int32-int32:[128, 1]-[2]=int32:[128]
("reshape_0241", "reshape_run", [(128, 1), (128,), "int32"]),
("reshape_0242", "reshape_run", [(128,), (128, 1), "int32"]),
# int32-int32:[128, 20]-[]=int32:[2560]
("reshape_0243", "reshape_run", [(128, 20), (2560,), "int32"]),
("reshape_0244", "reshape_run", [(2560,), (128, 20), "int32"]),
# int32-int32:[160]-[]=int32:[8, 20]
("reshape_0245", "reshape_run", [(160,), (8, 20), "int32"]),
("reshape_0246", "reshape_run", [(8, 20), (160,), "int32"]),
# int32-int32:[16, 1, 128]-[3]=int32:[16, 128]
("reshape_0247", "reshape_run", [(16, 1, 128), (16, 128), "int32"]),
("reshape_0248", "reshape_run", [(16, 128), (16, 1, 128), "int32"]),
# int32-int32:[16, 128, 1]-[]=int32:[2048]
("reshape_0249", "reshape_run", [(16, 128, 1), (2048,), "int32"]),
("reshape_0250", "reshape_run", [(2048,), (16, 128, 1), "int32"]),
# int32-int32:[16, 128]-[]=int32:[2048]
("reshape_0251", "reshape_run", [(16, 128), (2048,), "int32"]),
("reshape_0252", "reshape_run", [(2048,), (16, 128), "int32"]),
# int32-int32:[16, 1]-[2]=int32:[16]
("reshape_0253", "reshape_run", [(16, 1), (16,), "int32"]),
("reshape_0254", "reshape_run", [(16,), (16, 1), "int32"]),
# int32-int32:[16, 20]-[]=int32:[320]
("reshape_0255", "reshape_run", [(16, 20), (320,), "int32"]),
("reshape_0256", "reshape_run", [(320,), (16, 20), "int32"]),
# int32-int32:[2, 1, 128]-[3]=int32:[2, 128]
("reshape_0257", "reshape_run", [(2, 1, 128), (2, 128), "int32"]),
("reshape_0258", "reshape_run", [(2, 128), (2, 1, 128), "int32"]),
# int32-int32:[2, 128, 1]-[]=int32:[256]
("reshape_0259", "reshape_run", [(2, 128, 1), (256,), "int32"]),
("reshape_0260", "reshape_run", [(256,), (2, 128, 1), "int32"]),
# int32-int32:[2, 128]-[]=int32:[256]
("reshape_0261", "reshape_run", [(2, 128), (256,), "int32"]),
("reshape_0262", "reshape_run", [(256,), (2, 128), "int32"]),
# int32-int32:[2, 1]-[2]=int32:[2]
("reshape_0263", "reshape_run", [(2, 1), (2,), "int32"]),
("reshape_0264", "reshape_run", [(2,), (2, 1), "int32"]),
# int32-int32:[2, 20]-[]=int32:[40]
("reshape_0265", "reshape_run", [(2, 20), (40,), "int32"]),
("reshape_0266", "reshape_run", [(40,), (2, 20), "int32"]),
# int32-int32:[256, 1, 128]-[3]=int32:[256, 128]
("reshape_0267", "reshape_run", [(256, 1, 128), (256, 128), "int32"]),
("reshape_0268", "reshape_run", [(256, 128), (256, 1, 128), "int32"]),
# int32-int32:[256, 128, 1]-[]=int32:[32768]
("reshape_0269", "reshape_run", [(256, 128, 1), (32768,), "int32"]),
("reshape_0270", "reshape_run", [(32768,), (256, 128, 1), "int32"]),
# int32-int32:[256, 128]-[]=int32:[32768]
("reshape_0271", "reshape_run", [(256, 128), (32768,), "int32"]),
("reshape_0272", "reshape_run", [(32768,), (256, 128), "int32"]),
# int32-int32:[256, 1]-[2]=int32:[256]
("reshape_0273", "reshape_run", [(256, 1), (256,), "int32"]),
("reshape_0274", "reshape_run", [(256,), (256, 1), "int32"]),
# int32-int32:[256, 20]-[]=int32:[5120]
("reshape_0275", "reshape_run", [(256, 20), (5120,), "int32"]),
("reshape_0276", "reshape_run", [(5120,), (256, 20), "int32"]),
# int32-int32:[32, 1, 128]-[3]=int32:[32, 128]
("reshape_0277", "reshape_run", [(32, 1, 128), (32, 128), "int32"]),
("reshape_0278", "reshape_run", [(32, 128), (32, 1, 128), "int32"]),
# int32-int32:[32, 128, 1]-[]=int32:[4096]
("reshape_0279", "reshape_run", [(32, 128, 1), (4096,), "int32"]),
("reshape_0280", "reshape_run", [(4096,), (32, 128, 1), "int32"]),
# int32-int32:[32, 128]-[]=int32:[4096]
("reshape_0281", "reshape_run", [(32, 128), (4096,), "int32"]),
("reshape_0282", "reshape_run", [(4096,), (32, 128), "int32"]),
# int32-int32:[32, 1]-[2]=int32:[32]
("reshape_0283", "reshape_run", [(32, 1), (32,), "int32"]),
("reshape_0284", "reshape_run", [(32,), (32, 1), "int32"]),
# int32-int32:[32, 20]-[]=int32:[640]
("reshape_0285", "reshape_run", [(32, 20), (640,), "int32"]),
("reshape_0286", "reshape_run", [(640,), (32, 20), "int32"]),
# int32-int32:[4, 1, 128]-[3]=int32:[4, 128]
("reshape_0287", "reshape_run", [(4, 1, 128), (4, 128), "int32"]),
("reshape_0288", "reshape_run", [(4, 128), (4, 1, 128), "int32"]),
# int32-int32:[4, 128, 1]-[]=int32:[512]
("reshape_0289", "reshape_run", [(4, 128, 1), (512,), "int32"]),
("reshape_0290", "reshape_run", [(512,), (4, 128, 1), "int32"]),
# int32-int32:[4, 128]-[]=int32:[512]
("reshape_0291", "reshape_run", [(4, 128), (512,), "int32"]),
("reshape_0292", "reshape_run", [(512,), (4, 128), "int32"]),
# int32-int32:[4, 1]-[2]=int32:[4]
("reshape_0293", "reshape_run", [(4, 1), (4,), "int32"]),
("reshape_0294", "reshape_run", [(4,), (4, 1), "int32"]),
# int32-int32:[4, 20]-[]=int32:[80]
("reshape_0295", "reshape_run", [(4, 20), (80,), "int32"]),
("reshape_0296", "reshape_run", [(80,), (4, 20), "int32"]),
# int32-int32:[512, 1, 128]-[3]=int32:[512, 128]
("reshape_0297", "reshape_run", [(512, 1, 128), (512, 128), "int32"]),
("reshape_0298", "reshape_run", [(512, 128), (512, 1, 128), "int32"]),
# int32-int32:[512, 128, 1]-[]=int32:[65536]
("reshape_0299", "reshape_run", [(512, 128, 1), (65536,), "int32"]),
("reshape_0300", "reshape_run", [(65536,), (512, 128, 1), "int32"]),
# int32-int32:[512, 128]-[]=int32:[65536]
("reshape_0301", "reshape_run", [(512, 128), (65536,), "int32"]),
("reshape_0302", "reshape_run", [(65536,), (512, 128), "int32"]),
# int32-int32:[512, 1]-[2]=int32:[512]
("reshape_0303", "reshape_run", [(512, 1), (512,), "int32"]),
("reshape_0304", "reshape_run", [(512,), (512, 1), "int32"]),
# int32-int32:[64, 1, 128]-[3]=int32:[64, 128]
("reshape_0305", "reshape_run", [(64, 1, 128), (64, 128), "int32"]),
("reshape_0306", "reshape_run", [(64, 128), (64, 1, 128), "int32"]),
# int32-int32:[64, 128, 1]-[]=int32:[8192]
("reshape_0307", "reshape_run", [(64, 128, 1), (8192,), "int32"]),
("reshape_0308", "reshape_run", [(8192,), (64, 128, 1), "int32"]),
# int32-int32:[64, 128]-[]=int32:[8192]
("reshape_0309", "reshape_run", [(64, 128), (8192,), "int32"]),
("reshape_0310", "reshape_run", [(8192,), (64, 128), "int32"]),
# int32-int32:[64, 1]-[2]=int32:[64]
("reshape_0311", "reshape_run", [(64, 1), (64,), "int32"]),
("reshape_0312", "reshape_run", [(64,), (64, 1), "int32"]),
# int32-int32:[8, 1, 128]-[3]=int32:[8, 128]
("reshape_0313", "reshape_run", [(8, 1, 128), (8, 128), "int32"]),
("reshape_0314", "reshape_run", [(8, 128), (8, 1, 128), "int32"]),
# int32-int32:[8, 1]-[2]=int32:[8]
("reshape_0315", "reshape_run", [(8, 1), (8,), "int32"]),
("reshape_0316", "reshape_run", [(8,), (8, 1), "int32"]),
# float:[1024, 12, 128, 128]=float:[1024, 12, 128, 128]
("softmax_001", "softmax_run", ((1024, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[1, 12, 128, 128]=float:[1, 12, 128, 128]
("softmax_002", "softmax_run", ((1, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[128, 12, 128, 128]=float:[128, 12, 128, 128]
("softmax_003", "softmax_run", ((128, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[16, 12, 128, 128]=float:[16, 12, 128, 128]
("softmax_004", "softmax_run", ((16, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[2, 12, 128, 128]=float:[2, 12, 128, 128]
("softmax_005", "softmax_run", ((2, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[256, 12, 128, 128]=float:[256, 12, 128, 128]
("softmax_006", "softmax_run", ((256, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[32, 12, 128, 128]=float:[32, 12, 128, 128]
("softmax_007", "softmax_run", ((32, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[4, 12, 128, 128]=float:[4, 12, 128, 128]
("softmax_008", "softmax_run", ((4, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[512, 12, 128, 128]=float:[512, 12, 128, 128]
("softmax_009", "softmax_run", ((512, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[64, 12, 128, 128]=float:[64, 12, 128, 128]
("softmax_0010", "softmax_run", ((64, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[8, 12, 128, 128]=float:[8, 12, 128, 128]
("softmax_0011", "softmax_run", ((8, 12, 128, 128), "float32", -1, "cce_softmax_fp32")),
# pow OP
# float - float:[1280, 768] - [] = float:[1280, 768]
("pow_001", "pow_run", ((1280, 768), (1,), 'float32')),
# float - float:[] - [] = float:[]
("pow_002", "pow_run", ((1,), (1,), 'float32')),
# half - half:[8192, 3072] - [] = half:[8192, 3072]
("pow_003", "pow_run", ((8192, 3072), (8192, 3072), 'float16')),
# reciprocal OP
# float - float:[160, 1024] = float:[160, 1024]
("reciprocal_001", "reciprocal_run", ((160, 1024), 'float32'),),
# float - float:[] = float:[]
("reciprocal_002", "reciprocal_run", ((1,), 'float32'),),
# bert联调large新增shape
# Tile OP
# float-int32:[10240, 1]-[2]=float:[10240, 21128]
("tile_001", "tile_run", ((10240, 1), "float32", (1, 21128))),
# float-int32:[1024, 1]-[2]=float:[1024, 2]
("tile_002", "tile_run", ((1024, 1), "float32", (1, 2))),
# float-int32:[1, 1]-[2]=float:[1, 2]
("tile_003", "tile_run", ((1, 1), "float32", (1, 2))),
# float-int32:[1]-[1]=float:[1]
("tile_004", "tile_run", ((1,), "float32", (1, 1))),
# float-int32:[1]-[1]=float:[1024]
("tile_005", "tile_run", ((1,), "float32", (1, 1024))),
# float-int32:[1]-[1]=float:[10240]
("tile_006", "tile_run", ((1,), "float32", (1, 10240))),
# float-int32:[1]-[1]=float:[128]
("tile_007", "tile_run", ((1,), "float32", (1, 128))),
# float-int32:[1]-[1]=float:[1280]
("tile_008", "tile_run", ((1,), "float32", (1, 1280))),
# float-int32:[1]-[1]=float:[16]
("tile_009", "tile_run", ((1,), "float32", (1, 16))),
# float-int32:[1]-[1]=float:[160]
("tile_010", "tile_run", ((1,), "float32", (1, 160))),
# float-int32:[1]-[1]=float:[2]
("tile_011", "tile_run", ((1,), "float32", (1, 2))),
# float-int32:[1]-[1]=float:[20]
("tile_012", "tile_run", ((1,), "float32", (1, 20))),
# float-int32:[1]-[1]=float:[20480]
("tile_013", "tile_run", ((1,), "float32", (1, 20480))),
# float-int32:[1]-[1]=float:[256]
("tile_014", "tile_run", ((1,), "float32", (1, 256))),
# float-int32:[1]-[1]=float:[2560]
("tile_015", "tile_run", ((1,), "float32", (1, 2560))),
# float-int32:[1]-[1]=float:[32]
("tile_016", "tile_run", ((1,), "float32", (1, 32))),
# float-int32:[1]-[1]=float:[320]
("tile_017", "tile_run", ((1,), "float32", (1, 320))),
# float-int32:[1]-[1]=float:[4]
("tile_018", "tile_run", ((1,), "float32", (1, 4))),
# float-int32:[1]-[1]=float:[40]
("tile_019", "tile_run", ((1,), "float32", (1, 40))),
# float-int32:[1]-[1]=float:[512]
("tile_020", "tile_run", ((1,), "float32", (1, 512))),
# float-int32:[1]-[1]=float:[5120]
("tile_021", "tile_run", ((1,), "float32", (1, 5120))),
# float-int32:[1]-[1]=float:[64]
("tile_022", "tile_run", ((1,), "float32", (1, 64))),
# float-int32:[1]-[1]=float:[640]
("tile_023", "tile_run", ((1,), "float32", (1, 640))),
# float-int32:[1]-[1]=float:[8]
("tile_024", "tile_run", ((1,), "float32", (1, 8))),
# float-int32:[1]-[1]=float:[80]
("tile_025", "tile_run", ((1,), "float32", (1, 80))),
# float-int32:[1280, 1]-[2]=float:[1280, 21128]
("tile_026", "tile_run", ((1280, 1), "float32", (1, 21128))),
# float-int32:[128, 1]-[2]=float:[128, 2]
("tile_027", "tile_run", ((128, 1), "float32", (1, 2))),
# float-int32:[160, 1]-[2]=float:[160, 21128]
("tile_028", "tile_run", ((160, 1), "float32", (1, 21128))),
# float-int32:[16, 1]-[2]=float:[16, 2]
("tile_029", "tile_run", ((16, 1), "float32", (1, 2))),
# float-int32:[20, 1]-[2]=float:[20, 21128]
("tile_030", "tile_run", ((20, 1), "float32", (1, 21128))),
# float-int32:[20480, 1]-[2]=float:[20480, 21128]
("tile_031", "tile_run", ((20480, 1), "float32", (1, 21128))),
# float-int32:[2, 1]-[2]=float:[2, 2]
("tile_032", "tile_run", ((2, 1), "float32", (1, 2))),
# float-int32:[2560, 1]-[2]=float:[2560, 21128]
("tile_033", "tile_run", ((2560, 1), "float32", (1, 21128))),
# float-int32:[256, 1]-[2]=float:[256, 2]
("tile_034", "tile_run", ((256, 1), "float32", (1, 2))),
# float-int32:[320, 1]-[2]=float:[320, 21128]
("tile_035", "tile_run", ((320, 1), "float32", (1, 21128))),
# float-int32:[32, 1]-[2]=float:[32, 2]
("tile_036", "tile_run", ((32, 1), "float32", (1, 2))),
# float-int32:[40, 1]-[2]=float:[40, 21128]
("tile_037", "tile_run", ((40, 1), "float32", (1, 21128))),
# float-int32:[4, 1]-[2]=float:[4, 2]
("tile_038", "tile_run", ((4, 1), "float32", (1, 2))),
# float-int32:[5120, 1]-[2]=float:[5120, 21128]
("tile_039", "tile_run", ((5120, 1), "float32", (1, 21128))),
# float-int32:[512, 1]-[2]=float:[512, 2]
("tile_040", "tile_run", ((512, 1), "float32", (1, 2))),
# float-int32:[640, 1]-[2]=float:[640, 21128]
("tile_041", "tile_run", ((640, 1), "float32", (1, 21128))),
# float-int32:[64, 1]-[2]=float:[64, 2]
("tile_042", "tile_run", ((64, 1), "float32", (1, 2))),
# float-int32:[80, 1]-[2]=float:[80, 21128]
("tile_043", "tile_run", ((80, 1), "float32", (1, 21128))),
# float-int32:[8, 1]-[2]=float:[8, 2]
("tile_044", "tile_run", ((8, 1), "float32", (1, 2))),
# Transpose OP
# float-int32:[10240, 1024]-[2]=float:[10240, 1024]
("transpose_001", "transpose_run", ((10240, 1024), (0, 1), "float32")),
# float-int32:[1024, 1024]-[2]=float:[1024, 1024]
("transpose_002", "transpose_run", ((1024, 1024), (0, 1), "float32")),
# float-int32:[1024, 128, 16, 64]-[4]=float:[1024, 16, 128, 64]
("transpose_003", "transpose_run", ((1024, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1024, 16, 128, 128]-[4]=float:[128, 1024, 16, 128]
("transpose_004", "transpose_run", ((1024, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[1024, 16, 128, 64]-[4]=float:[1024, 128, 16, 64]
("transpose_005", "transpose_run", ((1024, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1024, 16, 128, 64]-[4]=float:[128, 1024, 16, 64]
("transpose_006", "transpose_run", ((1024, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[1, 128, 16, 64]-[4]=float:[1, 16, 128, 64]
("transpose_007", "transpose_run", ((1, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1, 16, 128, 128]-[4]=float:[128, 1, 16, 128]
("transpose_008", "transpose_run", ((1, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[1, 16, 128, 64]-[4]=float:[1, 128, 16, 64]
("transpose_009", "transpose_run", ((1, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[1, 16, 128, 64]-[4]=float:[128, 1, 16, 64]
("transpose_0010", "transpose_run", ((1, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[128, 1024, 16, 128]-[4]=float:[1024, 16, 128, 128]
("transpose_0011", "transpose_run", ((128, 1024, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 1024, 16, 64]-[4]=float:[1024, 16, 128, 64]
("transpose_0012", "transpose_run", ((128, 1024, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 1024]-[2]=float:[128, 1024]
("transpose_0013", "transpose_run", ((128, 1024), (0, 1), "float32")),
# float-int32:[128, 1, 16, 128]-[4]=float:[1, 16, 128, 128]
("transpose_0014", "transpose_run", ((128, 1, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 1, 16, 64]-[4]=float:[1, 16, 128, 64]
("transpose_0015", "transpose_run", ((128, 1, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 128, 16, 128]-[4]=float:[128, 16, 128, 128]
("transpose_0016", "transpose_run", ((128, 128, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 128, 16, 64]-[4]=float:[128, 16, 128, 64]
("transpose_0017", "transpose_run", ((128, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[128, 128, 16, 64]-[4]=float:[128, 16, 128, 64]
("transpose_0018", "transpose_run", ((128, 128, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 128, 64]-[3]=float:[128, 128, 64]
("transpose_0019", "transpose_run", ((128, 128, 64), (0, 1, 2,), "float32")),
# float-int32:[128, 16, 128, 128]-[4]=float:[128, 128, 16, 128]
("transpose_0020", "transpose_run", ((128, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[128, 16, 128, 64]-[4]=float:[128, 128, 16, 64]
("transpose_0021", "transpose_run", ((128, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[128, 16, 128, 64]-[4]=float:[128, 128, 16, 64]
("transpose_0022", "transpose_run", ((128, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[128, 16, 16, 128]-[4]=float:[16, 16, 128, 128]
("transpose_0023", "transpose_run", ((128, 16, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 16, 16, 64]-[4]=float:[16, 16, 128, 64]
("transpose_0024", "transpose_run", ((128, 16, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 2, 16, 128]-[4]=float:[2, 16, 128, 128]
("transpose_0025", "transpose_run", ((128, 2, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 2, 16, 64]-[4]=float:[2, 16, 128, 64]
("transpose_0026", "transpose_run", ((128, 2, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 256, 16, 128]-[4]=float:[256, 16, 128, 128]
("transpose_0027", "transpose_run", ((128, 256, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 256, 16, 64]-[4]=float:[256, 16, 128, 64]
("transpose_0028", "transpose_run", ((128, 256, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 32, 16, 128]-[4]=float:[32, 16, 128, 128]
("transpose_0029", "transpose_run", ((128, 32, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 32, 16, 64]-[4]=float:[32, 16, 128, 64]
("transpose_0030", "transpose_run", ((128, 32, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 4, 16, 128]-[4]=float:[4, 16, 128, 128]
("transpose_0031", "transpose_run", ((128, 4, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 4, 16, 64]-[4]=float:[4, 16, 128, 64]
("transpose_0032", "transpose_run", ((128, 4, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 512, 16, 128]-[4]=float:[512, 16, 128, 128]
("transpose_0033", "transpose_run", ((128, 512, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 512, 16, 64]-[4]=float:[512, 16, 128, 64]
("transpose_0034", "transpose_run", ((128, 512, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[128, 8, 16, 128]-[4]=float:[8, 16, 128, 128]
("transpose_0035", "transpose_run", ((128, 8, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 8, 16, 64]-[4]=float:[8, 16, 128, 64]
("transpose_0036", "transpose_run", ((128, 8, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[131072, 1024]-[2]=float:[131072, 1024]
("transpose_0037", "transpose_run", ((131072, 1024), (0, 1), "float32")),
# float-int32:[160, 1024]-[2]=float:[160, 1024]
("transpose_0038", "transpose_run", ((160, 1024), (0, 1), "float32")),
# float-int32:[16, 128, 16, 64]-[4]=float:[16, 16, 128, 64]
("transpose_0039", "transpose_run", ((16, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[16, 16, 128, 128]-[4]=float:[128, 16, 16, 128]
("transpose_0040", "transpose_run", ((16, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[16, 16, 128, 64]-[4]=float:[128, 16, 16, 64]
("transpose_0041", "transpose_run", ((16, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[16, 16, 128, 64]-[4]=float:[16, 128, 16, 64]
("transpose_0042", "transpose_run", ((16, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[16384, 1024]-[2]=float:[16384, 1024]
("transpose_0043", "transpose_run", ((16384, 1024), (0, 1), "float32")),
# float-int32:[20, 1024]-[2]=float:[20, 1024]
("transpose_0044", "transpose_run", ((20, 1024), (0, 1), "float32")),
# float-int32:[20480, 1024]-[2]=float:[20480, 1024]
("transpose_0045", "transpose_run", ((20480, 1024), (0, 1), "float32")),
# float-int32:[2048, 1024]-[2]=float:[2048, 1024]
("transpose_0046", "transpose_run", ((2048, 1024), (0, 1), "float32")),
# float-int32:[2, 1024]-[2]=float:[2, 1024]
("transpose_0047", "transpose_run", ((2, 1024), (0, 1), "float32")),
# float-int32:[21128, 1024]-[2]=float:[21128, 1024]
("transpose_0048", "transpose_run", ((21128, 1024), (0, 1), "float32")),
# float-int32:[2, 128, 16, 64]-[4]=float:[2, 16, 128, 64]
("transpose_0049", "transpose_run", ((2, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[2, 16, 128, 128]-[4]=float:[128, 2, 16, 128]
("transpose_0050", "transpose_run", ((2, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[2, 16, 128, 64]-[4]=float:[128, 2, 16, 64]
("transpose_0051", "transpose_run", ((2, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[2, 16, 128, 64]-[4]=float:[2, 128, 16, 64]
("transpose_0052", "transpose_run", ((2, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[2560, 1024]-[2]=float:[2560, 1024]
("transpose_0053", "transpose_run", ((2560, 1024), (0, 1), "float32")),
# float-int32:[256, 1024]-[2]=float:[256, 1024]
("transpose_0054", "transpose_run", ((256, 1024), (0, 1), "float32")),
# float-int32:[256, 128, 16, 64]-[4]=float:[256, 16, 128, 64]
("transpose_0055", "transpose_run", ((256, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[256, 16, 128, 128]-[4]=float:[128, 256, 16, 128]
("transpose_0056", "transpose_run", ((256, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[256, 16, 128, 64]-[4]=float:[128, 256, 16, 64]
("transpose_0057", "transpose_run", ((256, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[256, 16, 128, 64]-[4]=float:[256, 128, 16, 64]
("transpose_0058", "transpose_run", ((256, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[320, 1024]-[2]=float:[320, 1024]
("transpose_0059", "transpose_run", ((320, 1024), (0, 1), "float32")),
# float-int32:[32, 128, 16, 64]-[4]=float:[32, 16, 128, 64]
("transpose_0060", "transpose_run", ((32, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[32, 16, 128, 128]-[4]=float:[128, 32, 16, 128]
("transpose_0061", "transpose_run", ((32, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[32, 16, 128, 64]-[4]=float:[128, 32, 16, 64]
("transpose_0062", "transpose_run", ((32, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[32, 16, 128, 64]-[4]=float:[32, 128, 16, 64]
("transpose_0063", "transpose_run", ((32, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[32768, 1024]-[2]=float:[32768, 1024]
("transpose_0064", "transpose_run", ((32768, 1024), (0, 1), "float32")),
# float-int32:[33, 64]-[2]=float:[33, 64]
("transpose_0065", "transpose_run", ((33, 64), (0, 1), "float32")),
# float-int32:[40, 1024]-[2]=float:[40, 1024]
("transpose_0066", "transpose_run", ((40, 1024), (0, 1), "float32")),
# float-int32:[4096, 1024]-[2]=float:[4096, 1024]
("transpose_0067", "transpose_run", ((4096, 1024), (0, 1), "float32")),
# float-int32:[4, 128, 16, 64]-[4]=float:[4, 16, 128, 64]
("transpose_0068", "transpose_run", ((4, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[4, 16, 128, 128]-[4]=float:[128, 4, 16, 128]
("transpose_0069", "transpose_run", ((4, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[4, 16, 128, 64]-[4]=float:[128, 4, 16, 64]
("transpose_0070", "transpose_run", ((4, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[4, 16, 128, 64]-[4]=float:[4, 128, 16, 64]
("transpose_0071", "transpose_run", ((4, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[5120, 1024]-[2]=float:[5120, 1024]
("transpose_0072", "transpose_run", ((5120, 1024), (0, 1), "float32")),
# float-int32:[512, 1024]-[2]=float:[512, 1024]
("transpose_0073", "transpose_run", ((512, 1024), (0, 1), "float32")),
# float-int32:[512, 128, 16, 64]-[4]=float:[512, 16, 128, 64]
("transpose_0074", "transpose_run", ((512, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[512, 16, 128, 128]-[4]=float:[128, 512, 16, 128]
("transpose_0075", "transpose_run", ((512, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[512, 16, 128, 64]-[4]=float:[128, 512, 16, 64]
("transpose_0076", "transpose_run", ((512, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[512, 16, 128, 64]-[4]=float:[512, 128, 16, 64]
("transpose_0077", "transpose_run", ((512, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[640, 1024]-[2]=float:[640, 1024]
("transpose_0078", "transpose_run", ((640, 1024), (0, 1), "float32")),
# float-int32:[65536, 1024]-[2]=float:[65536, 1024]
("transpose_0079", "transpose_run", ((65536, 1024), (0, 1), "float32")),
# float-int32:[80, 1024]-[2]=float:[80, 1024]
("transpose_0080", "transpose_run", ((80, 1024), (0, 1), "float32")),
# float-int32:[8, 128, 16, 64]-[4]=float:[8, 16, 128, 64]
("transpose_0081", "transpose_run", ((8, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[8, 16, 128, 128]-[4]=float:[128, 8, 16, 128]
("transpose_0082", "transpose_run", ((8, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[8, 16, 128, 64]-[4]=float:[128, 8, 16, 64]
("transpose_0083", "transpose_run", ((8, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[8, 16, 128, 64]-[4]=float:[8, 128, 16, 64]
("transpose_0084", "transpose_run", ((8, 16, 128, 64), (0, 2, 1, 3), "float32")),
# int32-int32:[128, 128]-[2]=float:[128, 128]
("transpose_0085", "transpose_run", ((128, 128), (1, 0), "int32")),
# unsortedsegmentsum OP
# float-int32-int32:[10240, 1024]-[[10240]]-[]=float:[65536, 1024]
("unsortedsegmentsum_001", "unsortedsegmentsum_run", ([10240, 1024], [10240], 65536, "float32")),
# float-int32-int32:[1024, 1024]-[[1024]]-[]=float:[2, 1024]
("unsortedsegmentsum_002", "unsortedsegmentsum_run", ([1024, 1024], [1024], 2, "float32")),
# float-int32-int32:[1024, 1024]-[[1024]]-[]=float:[21128, 1024]
("unsortedsegmentsum_003", "unsortedsegmentsum_run", ([1024, 1024], [1024], 21128, "float32")),
# float-int32-int32:[128, 1024]-[[128]]-[]=float:[2, 1024]
("unsortedsegmentsum_004", "unsortedsegmentsum_run", ([128, 1024], [128], 2, "float32")),
# float-int32-int32:[128, 1024]-[[128]]-[]=float:[21128, 1024]
("unsortedsegmentsum_005", "unsortedsegmentsum_run", ([128, 1024], [128], 21128, "float32")),
# float-int32-int32:[128, 128, 64]-[[128]-[]=float:[33, 64]
("unsortedsegmentsum_006", "unsortedsegmentsum_run", ([128, 128, 64], [128], 33, "float32")),
# float-int32-int32:[131072, 1024]-[[131072]]-[]=float:[2, 1024]
("unsortedsegmentsum_007", "unsortedsegmentsum_run", ([131072, 1024], [131072], 2, "float32")),
# float-int32-int32:[131072, 1024]-[[131072]]-[]=float:[21128, 1024]
("unsortedsegmentsum_008", "unsortedsegmentsum_run", ([131072, 1024], [131072], 21128, "float32")),
# float-int32-int32:[160, 1024]-[[160]]-[]=float:[1024, 1024]
("unsortedsegmentsum_009", "unsortedsegmentsum_run", ([160, 1024], [160], 1024, "float32")),
# float-int32-int32:[16384, 1024]-[[16384]]-[]=float:[2, 1024]
("unsortedsegmentsum_0010", "unsortedsegmentsum_run", ([16384, 1024], [16384], 2, "float32")),
# float-int32-int32:[16384, 1024]-[[16384]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0011", "unsortedsegmentsum_run", ([16384, 1024], [16384], 21128, "float32")),
# float-int32-int32:[20, 1024]-[[20]]-[]=float:[128, 1024]
("unsortedsegmentsum_0012", "unsortedsegmentsum_run", ([20, 1024], [20], 128, "float32")),
# float-int32-int32:[20480, 1024]-[[20480]]-[]=float:[131072, 1024]
("unsortedsegmentsum_0013", "unsortedsegmentsum_run", ([20480, 1024], [20480], 131072, "float32")),
# float-int32-int32:[2048, 1024]-[[2048]]-[]=float:[2, 1024]
("unsortedsegmentsum_0014", "unsortedsegmentsum_run", ([2048, 1024], [2048], 2, "float32")),
# float-int32-int32:[2048, 1024]-[[2048]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0015", "unsortedsegmentsum_run", ([2048, 1024], [2048], 21128, "float32")),
# float-int32-int32:[2560, 1024]-[[2560]]-[]=float:[16384, 1024]
("unsortedsegmentsum_0016", "unsortedsegmentsum_run", ([2560, 1024], [2560], 16384, "float32")),
# float-int32-int32:[256, 1024]-[[256]]-[]=float:[2, 1024]
("unsortedsegmentsum_0017", "unsortedsegmentsum_run", ([256, 1024], [256], 2, "float32")),
# float-int32-int32:[256, 1024]-[[256]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0018", "unsortedsegmentsum_run", ([256, 1024], [256], 21128, "float32")),
# float-int32-int32:[320, 1024]-[[320]]-[]=float:[2048, 1024]
("unsortedsegmentsum_0019", "unsortedsegmentsum_run", ([320, 1024], [320], 2048, "float32")),
# float-int32-int32:[32768, 1024]-[[32768]]-[]=float:[2, 1024]
("unsortedsegmentsum_0020", "unsortedsegmentsum_run", ([32768, 1024], [32768], 2, "float32")),
# float-int32-int32:[32768, 1024]-[[32768]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0021", "unsortedsegmentsum_run", ([32768, 1024], [32768], 21128, "float32")),
# float-int32-int32:[40, 1024]-[[40]]-[]=float:[256, 1024]
("unsortedsegmentsum_0022", "unsortedsegmentsum_run", ([40, 1024], [40], 256, "float32")),
# float-int32-int32:[4096, 1024]-[[4096]]-[]=float:[2, 1024]
("unsortedsegmentsum_0023", "unsortedsegmentsum_run", ([4096, 1024], [4096], 2, "float32")),
# float-int32-int32:[4096, 1024]-[[4096]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0024", "unsortedsegmentsum_run", ([4096, 1024], [4096], 21128, "float32")),
# float-int32-int32:[5120, 1024]-[[5120]]-[]=float:[32768, 1024]
("unsortedsegmentsum_0025", "unsortedsegmentsum_run", ([5120, 1024], [5120], 32768, "float32")),
# float-int32-int32:[512, 1024]-[[512]]-[]=float:[2, 1024]
("unsortedsegmentsum_0026", "unsortedsegmentsum_run", ([512, 1024], [512], 2, "float32")),
# float-int32-int32:[512, 1024]-[[512]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0027", "unsortedsegmentsum_run", ([512, 1024], [512], 21128, "float32")),
# float-int32-int32:[640, 1024]-[[640]]-[]=float:[4096, 1024]
("unsortedsegmentsum_0028", "unsortedsegmentsum_run", ([640, 1024], [640], 4096, "float32")),
# float-int32-int32:[65536, 1024]-[[65536]]-[]=float:[2, 1024]
("unsortedsegmentsum_0029", "unsortedsegmentsum_run", ([65536, 1024], [65536], 2, "float32")),
# float-int32-int32:[65536, 1024]-[[65536]]-[]=float:[21128, 1024]
("unsortedsegmentsum_0030", "unsortedsegmentsum_run", ([65536, 1024], [65536], 21128, "float32")),
# float-int32-int32:[80, 1024]-[[80]]-[]=float:[512, 1024]
("unsortedsegmentsum_0031", "unsortedsegmentsum_run", ([80, 1024], [80], 512, "float32")),
# gelu OP
# float:[10240, 1024]=float:[10240, 1024]
("gelu_001", "gelu_run", ((10240, 1024), "float32")),
# float:[1024, 4096]=float:[1024, 4096]
("gelu_002", "gelu_run", ((1024, 4096), "float32")),
# float:[128, 4096]=float:[128, 4096]
("gelu_003", "gelu_run", ((128, 4096), "float32")),
# float:[131072, 4096]=float:[131072, 4096]
("gelu_004", "gelu_run", ((131072, 4096), "float32")),
# float:[160, 1024]=float:[160, 1024]
("gelu_005", "gelu_run", ((160, 1024), "float32")),
# float:[16384, 4096]=float:[16384, 4096]
("gelu_006", "gelu_run", ((16384, 4096), "float32")),
# float:[20, 1024]=float:[20, 1024]
("gelu_007", "gelu_run", ((20, 1024), "float32")),
# float:[20480, 1024]=float:[20480, 1024]
("gelu_008", "gelu_run", ((20480, 1024), "float32")),
# float:[2048, 4096]=float:[2048, 4096]
("gelu_009", "gelu_run", ((2048, 4096), "float32")),
# float:[2560, 1024]=float:[2560, 1024]
("gelu_0010", "gelu_run", ((2560, 1024), "float32")),
# float:[256, 4096]=float:[256, 4096]
("gelu_0011", "gelu_run", ((256, 4096), "float32")),
# float:[320, 1024]=float:[320, 1024]
("gelu_0012", "gelu_run", ((320, 1024), "float32")),
# float:[32768, 4096]=float:[32768, 4096]
("gelu_0013", "gelu_run", ((32768, 4096), "float32")),
# float:[40, 1024]=float:[40, 1024]
("gelu_0014", "gelu_run", ((40, 1024), "float32")),
# float:[4096, 4096]=float:[4096, 4096]
("gelu_0015", "gelu_run", ((4096, 4096), "float32")),
# float:[5120, 1024]=float:[5120, 1024]
("gelu_0016", "gelu_run", ((5120, 1024), "float32")),
# float:[512, 4096]=float:[512, 4096]
("gelu_0017", "gelu_run", ((512, 4096), "float32")),
# float:[640, 1024]=float:[640, 1024]
("gelu_0018", "gelu_run", ((640, 1024), "float32")),
# float:[65536, 4096]=float:[65536, 4096]
("gelu_0019", "gelu_run", ((65536, 4096), "float32")),
# float:[80, 1024]=float:[80, 1024]
("gelu_0020", "gelu_run", ((80, 1024), "float32")),
# gelu_grad OP
# float:[10240, 1024]=float:[10240, 1024]
("gelu_grad_001", "gelu_grad_run", ((10240, 1024), "float32")),
# float:[1024, 4096]=float:[1024, 4096]
("gelu_grad_002", "gelu_grad_run", ((1024, 4096), "float32")),
# float:[128, 4096]=float:[128, 4096]
("gelu_grad_003", "gelu_grad_run", ((128, 4096), "float32")),
# float:[131072, 4096]=float:[131072, 4096]
("gelu_grad_004", "gelu_grad_run", ((131072, 4096), "float32")),
# float:[160, 1024]=float:[160, 1024]
("gelu_grad_005", "gelu_grad_run", ((160, 1024), "float32")),
# float:[16384, 4096]=float:[16384, 4096]
("gelu_grad_006", "gelu_grad_run", ((16384, 4096), "float32")),
# float:[20, 1024]=float:[20, 1024]
("gelu_grad_007", "gelu_grad_run", ((20, 1024), "float32")),
# float:[20480, 1024]=float:[20480, 1024]
("gelu_grad_008", "gelu_grad_run", ((20480, 1024), "float32")),
# float:[2048, 4096]=float:[2048, 4096]
("gelu_grad_009", "gelu_grad_run", ((2048, 4096), "float32")),
# float:[2560, 1024]=float:[2560, 1024]
("gelu_grad_0010", "gelu_grad_run", ((2560, 1024), "float32")),
# float:[256, 4096]=float:[256, 4096]
("gelu_grad_0011", "gelu_grad_run", ((256, 4096), "float32")),
# float:[320, 1024]=float:[320, 1024]
("gelu_grad_0012", "gelu_grad_run", ((320, 1024), "float32")),
# float:[32768, 4096]=float:[32768, 4096]
("gelu_grad_0013", "gelu_grad_run", ((32768, 4096), "float32")),
# float:[40, 1024]=float:[40, 1024]
("gelu_grad_0014", "gelu_grad_run", ((40, 1024), "float32")),
# float:[4096, 4096]=float:[4096, 4096]
("gelu_grad_0015", "gelu_grad_run", ((4096, 4096), "float32")),
# float:[5120, 1024]=float:[5120, 1024]
("gelu_grad_0016", "gelu_grad_run", ((5120, 1024), "float32")),
# float:[512, 4096]=float:[512, 4096]
("gelu_grad_0017", "gelu_grad_run", ((512, 4096), "float32")),
# float:[640, 1024]=float:[640, 1024]
("gelu_grad_0018", "gelu_grad_run", ((640, 1024), "float32")),
# float:[65536, 4096]=float:[65536, 4096]
("gelu_grad_0019", "gelu_grad_run", ((65536, 4096), "float32")),
# float:[80, 1024]=float:[80, 1024]
("gelu_grad_0020", "gelu_run", ((80, 1024), "float32")),
# LayerNorm OP
# float:[10240, 1024]=float:[10240, 1024]
("fused_layernorm_001", "fused_layernorm_run", ((10240, 1024), -1, -1, "float32")),
# float:[1024, 1024]=float:[1024, 1024]
("fused_layernorm_002", "fused_layernorm_run", ((1024, 1024), -1, -1, "float32")),
# float:[1024, 128, 1024]=float:[1024, 128, 1024]
("fused_layernorm_003", "fused_layernorm_run", ((1024, 128, 1024), -1, -1, "float32")),
# float:[1, 128, 1024]=float:[1, 128, 1024]
("fused_layernorm_004", "fused_layernorm_run", ((1, 128, 1024), -1, -1, "float32")),
# float:[128, 1024]=float:[128, 1024]
("fused_layernorm_005", "fused_layernorm_run", ((128, 1024), -1, -1, "float32")),
# float:[128, 128, 1024]=float:[128, 128, 1024]
("fused_layernorm_006", "fused_layernorm_run", ((128, 128, 1024), -1, -1, "float32")),
# float:[131072, 1024]=float:[131072, 1024]
("fused_layernorm_007", "fused_layernorm_run", ((131072, 1024), -1, -1, "float32")),
# float:[160, 1024]=float:[160, 1024]
("fused_layernorm_008", "fused_layernorm_run", ((160, 1024), -1, -1, "float32")),
# float:[16, 128, 1024]=float:[16, 128, 1024]
("fused_layernorm_009", "fused_layernorm_run", ((16, 128, 1024), -1, -1, "float32")),
# float:[16384, 1024]=float:[16384, 1024]
("fused_layernorm_0010", "fused_layernorm_run", ((16384, 1024), -1, -1, "float32")),
# float:[20, 1024]=float:[20, 1024]
("fused_layernorm_0011", "fused_layernorm_run", ((20, 1024), -1, -1, "float32")),
# float:[20480, 1024]=float:[20480, 1024]
("fused_layernorm_0012", "fused_layernorm_run", ((20480, 1024), -1, -1, "float32")),
# float:[2048, 1024]=float:[2048, 1024]
("fused_layernorm_0013", "fused_layernorm_run", ((2048, 1024), -1, -1, "float32")),
# float:[2, 128, 1024]=float:[2, 128, 1024]
("fused_layernorm_0014", "fused_layernorm_run", ((2, 128, 1024), -1, -1, "float32")),
# float:[2560, 1024]=float:[2560, 1024]
("fused_layernorm_0015", "fused_layernorm_run", ((2560, 1024), -1, -1, "float32")),
# float:[256, 1024]=float:[256, 1024]
("fused_layernorm_0016", "fused_layernorm_run", ((256, 1024), -1, -1, "float32")),
# float:[256, 128, 1024]=float:[256, 128, 1024]
("fused_layernorm_0017", "fused_layernorm_run", ((256, 128, 1024), -1, -1, "float32")),
# float:[320, 1024]=float:[320, 1024]
("fused_layernorm_0018", "fused_layernorm_run", ((320, 1024), -1, -1, "float32")),
# float:[32, 128, 1024]=float:[32, 128, 1024]
("fused_layernorm_0019", "fused_layernorm_run", ((32, 128, 1024), -1, -1, "float32")),
# float:[32768, 1024]=float:[32768, 1024]
("fused_layernorm_0020", "fused_layernorm_run", ((32768, 1024), -1, -1, "float32")),
# float:[40, 1024]=float:[40, 1024]
("fused_layernorm_0021", "fused_layernorm_run", ((40, 1024), -1, -1, "float32")),
# float:[4096, 1024]=float:[4096, 1024]
("fused_layernorm_0022", "fused_layernorm_run", ((4096, 1024), -1, -1, "float32")),
# float:[4, 128, 1024]=float:[4, 128, 1024]
("fused_layernorm_0023", "fused_layernorm_run", ((4, 128, 1024), -1, -1, "float32")),
# float:[5120, 1024]=float:[5120, 1024]
("fused_layernorm_0024", "fused_layernorm_run", ((5120, 1024), -1, -1, "float32")),
# float:[512, 1024]=float:[512, 1024]
("fused_layernorm_0025", "fused_layernorm_run", ((512, 1024), -1, -1, "float32")),
# float:[512, 128, 1024]=float:[512, 128, 1024]
("fused_layernorm_0026", "fused_layernorm_run", ((512, 128, 1024), -1, -1, "float32")),
# float:[640, 1024]=float:[640, 1024]
("fused_layernorm_0027", "fused_layernorm_run", ((640, 1024), -1, -1, "float32")),
# float:[65536, 1024]=float:[65536, 1024]
("fused_layernorm_0028", "fused_layernorm_run", ((65536, 1024), -1, -1, "float32")),
# float:[80, 1024]=float:[80, 1024]
("fused_layernorm_0029", "fused_layernorm_run", ((80, 1024), -1, -1, "float32")),
# float:[8, 128, 1024]=float:[8, 128, 1024]
("fused_layernorm_0030", "fused_layernorm_run", ((8, 128, 1024), -1, -1, "float32")),
# LayerNormGrad
# float:[10240, 1024]=float:[10240, 1024]
("fused_layer_norm_grad_001", "fused_layer_norm_grad_run", ((10240, 1024), -1, -1, "float32")),
# float:[1024, 1024]=float:[1024, 1024]
("fused_layer_norm_grad_002", "fused_layer_norm_grad_run", ((1024, 1024), -1, -1, "float32")),
# float:[1024, 128, 1024]=float:[1024, 128, 1024]
("fused_layer_norm_grad_003", "fused_layer_norm_grad_run", ((1024, 128, 1024), -1, -1, "float32")),
# float:[1, 128, 1024]=float:[1, 128, 1024]
("fused_layer_norm_grad_004", "fused_layer_norm_grad_run", ((1, 128, 1024), -1, -1, "float32")),
# float:[128, 1024]=float:[128, 1024]
("fused_layer_norm_grad_005", "fused_layer_norm_grad_run", ((128, 1024), -1, -1, "float32")),
# float:[128, 128, 1024]=float:[128, 128, 1024]
("fused_layer_norm_grad_006", "fused_layer_norm_grad_run", ((128, 128, 1024), -1, -1, "float32")),
# float:[131072, 1024]=float:[131072, 1024]
("fused_layer_norm_grad_007", "fused_layer_norm_grad_run", ((131072, 1024), -1, -1, "float32")),
# float:[160, 1024]=float:[160, 1024]
("fused_layer_norm_grad_008", "fused_layer_norm_grad_run", ((160, 1024), -1, -1, "float32")),
# float:[16, 128, 1024]=float:[16, 128, 1024]
("fused_layer_norm_grad_009", "fused_layer_norm_grad_run", ((16, 128, 1024), -1, -1, "float32")),
# float:[16384, 1024]=float:[16384, 1024]
("fused_layer_norm_grad_0010", "fused_layer_norm_grad_run", ((16384, 1024), -1, -1, "float32")),
# float:[20, 1024]=float:[20, 1024]
("fused_layer_norm_grad_0011", "fused_layer_norm_grad_run", ((20, 1024), -1, -1, "float32")),
# float:[20480, 1024]=float:[20480, 1024]
("fused_layer_norm_grad_0012", "fused_layer_norm_grad_run", ((20480, 1024), -1, -1, "float32")),
# float:[2048, 1024]=float:[2048, 1024]
("fused_layer_norm_grad_0013", "fused_layer_norm_grad_run", ((2048, 1024), -1, -1, "float32")),
# float:[2, 128, 1024]=float:[2, 128, 1024]
("fused_layer_norm_grad_0014", "fused_layer_norm_grad_run", ((2, 128, 1024), -1, -1, "float32")),
# float:[2560, 1024]=float:[2560, 1024]
("fused_layer_norm_grad_0015", "fused_layer_norm_grad_run", ((2560, 1024), -1, -1, "float32")),
# float:[256, 1024]=float:[256, 1024]
("fused_layer_norm_grad_0016", "fused_layer_norm_grad_run", ((256, 1024), -1, -1, "float32")),
# float:[256, 128, 1024]=float:[256, 128, 1024]
("fused_layer_norm_grad_0017", "fused_layer_norm_grad_run", ((256, 128, 1024), -1, -1, "float32")),
# float:[320, 1024]=float:[320, 1024]
("fused_layer_norm_grad_0018", "fused_layer_norm_grad_run", ((320, 1024), -1, -1, "float32")),
# float:[32, 128, 1024]=float:[32, 128, 1024]
("fused_layer_norm_grad_0019", "fused_layer_norm_grad_run", ((32, 128, 1024), -1, -1, "float32")),
# float:[32768, 1024]=float:[32768, 1024]
("fused_layer_norm_grad_0020", "fused_layer_norm_grad_run", ((32768, 1024), -1, -1, "float32")),
# float:[40, 1024]=float:[40, 1024]
("fused_layer_norm_grad_0021", "fused_layer_norm_grad_run", ((40, 1024), -1, -1, "float32")),
# float:[4096, 1024]=float:[4096, 1024]
("fused_layer_norm_grad_0022", "fused_layer_norm_grad_run", ((4096, 1024), -1, -1, "float32")),
# float:[4, 128, 1024]=float:[4, 128, 1024]
("fused_layer_norm_grad_0023", "fused_layer_norm_grad_run", ((4, 128, 1024), -1, -1, "float32")),
# float:[5120, 1024]=float:[5120, 1024]
("fused_layer_norm_grad_0024", "fused_layer_norm_grad_run", ((5120, 1024), -1, -1, "float32")),
# float:[512, 1024]=float:[512, 1024]
("fused_layer_norm_grad_0025", "fused_layer_norm_grad_run", ((512, 1024), -1, -1, "float32")),
# float:[512, 128, 1024]=float:[512, 128, 1024]
("fused_layer_norm_grad_0026", "fused_layer_norm_grad_run", ((512, 128, 1024), -1, -1, "float32")),
# float:[640, 1024]=float:[640, 1024]
("fused_layer_norm_grad_0027", "fused_layer_norm_grad_run", ((640, 1024), -1, -1, "float32")),
# float:[65536, 1024]=float:[65536, 1024]
("fused_layer_norm_grad_0028", "fused_layer_norm_grad_run", ((65536, 1024), -1, -1, "float32")),
# float:[80, 1024]=float:[80, 1024]
("fused_layer_norm_grad_0029", "fused_layer_norm_grad_run", ((80, 1024), -1, -1, "float32")),
# float:[8, 128, 1024]=float:[8, 128, 1024]
("fused_layer_norm_grad_0030", "fused_layer_norm_grad_run", ((8, 128, 1024), -1, -1, "float32")),
# dropout OP
# float:[1024, 1024]=float:[1024, 1024]
("dropout_001", "dropout_run", ((1024, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[1024, 128, 1024]=float:[1024, 128, 1024]
("dropout_002", "dropout_run", ((1024, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[1024, 16, 128, 128]=float:[1024, 16, 128, 128]
("dropout_003", "dropout_run", ((1024, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[1, 128, 1024]=float:[1, 128, 1024]
("dropout_004", "dropout_run", ((1, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[1, 16, 128, 128]=float:[1, 16, 128, 128]
("dropout_005", "dropout_run", ((1, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[128, 1024]=float:[128, 1024]
("dropout_006", "dropout_run", ((128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[128, 128, 1024]=float:[128, 128, 1024]
("dropout_007", "dropout_run", ((128, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[128, 16, 128, 128]=float:[128, 16, 128, 128]
("dropout_008", "dropout_run", ((128, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[131072, 1024]=float:[131072, 1024]
("dropout_009", "dropout_run", ((131072, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[16, 128, 1024]=float:[16, 128, 1024]
("dropout_0010", "dropout_run", ((16, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[16, 16, 128, 128]=float:[16, 16, 128, 128]
("dropout_0011", "dropout_run", ((16, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[16384, 1024]=float:[16384, 1024]
("dropout_0012", "dropout_run", ((16384, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[2048, 1024]=float:[2048, 1024]
("dropout_0013", "dropout_run", ((2048, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[2, 128, 1024]=float:[2, 128, 1024]
("dropout_0014", "dropout_run", ((2, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[2, 16, 128, 128]=float:[2, 16, 128, 128]
("dropout_0015", "dropout_run", ((2, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[256, 1024]=float:[256, 1024]
("dropout_0016", "dropout_run", ((256, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[256, 128, 1024]=float:[256, 128, 1024]
("dropout_0017", "dropout_run", ((256, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[256, 16, 128, 128]=float:[256, 16, 128, 128]
("dropout_0018", "dropout_run", ((256, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[32, 128, 1024]=float:[32, 128, 1024]
("dropout_0019", "dropout_run", ((32, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[32, 16, 128, 128]=float:[32, 16, 128, 128]
("dropout_0020", "dropout_run", ((32, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[32768, 1024]=float:[32768, 1024]
("dropout_0021", "dropout_run", ((32768, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[4096, 1024]=float:[4096, 1024]
("dropout_0022", "dropout_run", ((4096, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[4, 128, 1024]=float:[4, 128, 1024]
("dropout_0023", "dropout_run", ((4, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[4, 16, 128, 128]=float:[4, 16, 128, 128]
("dropout_0024", "dropout_run", ((4, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[512, 1024]=float:[512, 1024]
("dropout_0025", "dropout_run", ((512, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[512, 128, 1024]=float:[512, 128, 1024]
("dropout_0026", "dropout_run", ((512, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[512, 16, 128, 128]=float:[512, 16, 128, 128]
("dropout_0027", "dropout_run", ((512, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[65536, 1024]=float:[65536, 1024]
("dropout_0028", "dropout_run", ((65536, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[8, 128, 1024]=float:[8, 128, 1024]
("dropout_0029", "dropout_run", ((8, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[8, 16, 128, 128]=float:[8, 16, 128, 128]
("dropout_0030", "dropout_run", ((8, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# addn OP
# float-float:[1024, 1024]-[1024, 1024]=float:[1024, 1024]
("addn_001", "addn_run", ((1024, 1024), "float32", 2)),
# float-float:[1024, 128, 1024]-[1024, 128, 1024]=float:[1024, 128, 1024]
("addn_002", "addn_run", ((1024, 128, 1024), "float32", 2)),
# float-float:[1024, 16, 128, 128]-[1024, 16, 128, 128]=float:[1024, 16, 128, 128]
("addn_003", "addn_run", ((1024, 16, 128, 128), "float32", 2)),
# float-float:[1024, 16, 128, 64]-[1024, 16, 128, 64]=float:[1024, 16, 128, 64]
("addn_004", "addn_run", ((1024, 16, 128, 64), "float32", 2)),
# float-float:[1, 128, 1024]-[1, 128, 1024]=float:[1, 128, 1024]
("addn_005", "addn_run", ((1, 128, 1024), "float32", 2)),
# float-float:[1, 16, 128, 128]-[1, 16, 128, 128]=float:[1, 16, 128, 128]
("addn_006", "addn_run", ((1, 16, 128, 128), "float32", 2)),
# float-float:[1, 16, 128, 64]-[1, 16, 128, 64]=float:[1, 16, 128, 64]
("addn_007", "addn_run", ((1, 16, 128, 64), "float32", 2)),
# float-float:[128, 1024]-[128, 1024]=float:[128, 1024]
("addn_008", "addn_run", ((128, 1024), "float32", 2)),
# float-float:[128, 128, 1024]-[128, 128, 1024]=float:[128, 128, 1024]
("addn_009", "addn_run", ((128, 128, 1024), "float32", 2)),
# float-float:[128, 16, 128, 128]-[128, 16, 128, 128]=float:[128, 16, 128, 128]
("addn_010", "addn_run", ((128, 16, 128, 128), "float32", 2)),
# float-float:[128, 16, 128, 64]-[128, 16, 128, 64]=float:[128, 16, 128, 64]
("addn_011", "addn_run", ((128, 16, 128, 64), "float32", 2)),
# float-float:[131072, 1024]-[131072, 1024]=float:[131072, 1024]
("addn_012", "addn_run", ((131072, 1024), "float32", 2)),
# float-float:[16, 128, 1024]-[16, 128, 1024]=float:[16, 128, 1024]
("addn_013", "addn_run", ((16, 128, 1024), "float32", 2)),
# float-float:[16, 16, 128, 128]-[16, 16, 128, 128]=float:[16, 16, 128, 128]
("addn_014", "addn_run", ((16, 16, 128, 128), "float32", 2)),
# float-float:[16, 16, 128, 64]-[16, 16, 128, 64]=float:[16, 16, 128, 64]
("addn_015", "addn_run", ((16, 16, 128, 64), "float32", 2)),
# float-float:[16384, 1024]-[16384, 1024]=float:[16384, 1024]
("addn_016", "addn_run", ((16384, 1024), "float32", 2)),
# float-float:[2048, 1024]-[2048, 1024]=float:[2048, 1024]
("addn_017", "addn_run", ((2048, 1024), "float32", 2)),
# float-float:[21128, 1024]-[21128, 1024]=float:[21128, 1024]
("addn_018", "addn_run", ((21128, 1024), "float32", 2)),
# float-float:[2, 128, 1024]-[2, 128, 1024]=float:[2, 128, 1024]
("addn_019", "addn_run", ((2, 128, 1024), "float32", 2)),
# float-float:[2, 16, 128, 128]-[2, 16, 128, 128]=float:[2, 16, 128, 128]
("addn_020", "addn_run", ((2, 16, 128, 128), "float32", 2)),
# float-float:[2, 16, 128, 64]-[2, 16, 128, 64]=float:[2, 16, 128, 64]
("addn_021", "addn_run", ((2, 16, 128, 64), "float32", 2)),
# float-float:[256, 1024]-[256, 1024]=float:[256, 1024]
("addn_022", "addn_run", ((256, 1024), "float32", 2)),
# float-float:[256, 128, 1024]-[256, 128, 1024]=float:[256, 128, 1024]
("addn_023", "addn_run", ((256, 128, 1024), "float32", 2)),
# float-float:[256, 16, 128, 128]-[256, 16, 128, 128]=float:[256, 16, 128, 128]
("addn_024", "addn_run", ((256, 16, 128, 128), "float32", 2)),
# float-float:[256, 16, 128, 64]-[256, 16, 128, 64]=float:[256, 16, 128, 64]
("addn_025", "addn_run", ((256, 16, 128, 64), "float32", 2)),
# float-float:[32, 128, 1024]-[32, 128, 1024]=float:[32, 128, 1024]
("addn_026", "addn_run", ((32, 128, 1024), "float32", 2)),
# float-float:[32, 16, 128, 128]-[32, 16, 128, 128]=float:[32, 16, 128, 128]
("addn_027", "addn_run", ((32, 16, 128, 128), "float32", 2)),
# float-float:[32, 16, 128, 64]-[32, 16, 128, 64]=float:[32, 16, 128, 64]
("addn_028", "addn_run", ((32, 16, 128, 64), "float32", 2)),
# float-float:[32768, 1024]-[32768, 1024]=float:[32768, 1024]
("addn_029", "addn_run", ((32768, 1024), "float32", 2)),
# float-float:[33, 64]-[33, 64]=float:[33, 64]
("addn_030", "addn_run", ((33, 64), "float32", 2)),
# float-float:[4096, 1024]-[4096, 1024]=float:[4096, 1024]
("addn_031", "addn_run", ((4096, 1024), "float32", 2)),
# float-float:[4, 128, 1024]-[4, 128, 1024]=float:[4, 128, 1024]
("addn_032", "addn_run", ((4, 128, 1024), "float32", 2)),
# float-float:[4, 16, 128, 128]-[4, 16, 128, 128]=float:[4, 16, 128, 128]
("addn_033", "addn_run", ((4, 16, 128, 128), "float32", 2)),
# float-float:[4, 16, 128, 64]-[4, 16, 128, 64]=float:[4, 16, 128, 64]
("addn_034", "addn_run", ((4, 16, 128, 64), "float32", 2)),
# float-float:[512, 1024]-[512, 1024]=float:[512, 1024]
("addn_035", "addn_run", ((512, 1024), "float32", 2)),
# float-float:[512, 128, 1024]-[512, 128, 1024]=float:[512, 128, 1024]
("addn_036", "addn_run", ((512, 128, 1024), "float32", 2)),
# float-float:[512, 16, 128, 128]-[512, 16, 128, 128]=float:[512, 16, 128, 128]
("addn_037", "addn_run", ((512, 16, 128, 128), "float32", 2)),
# float-float:[512, 16, 128, 64]-[512, 16, 128, 64]=float:[512, 16, 128, 64]
("addn_038", "addn_run", ((512, 16, 128, 64), "float32", 2)),
# float-float:[65536, 1024]-[65536, 1024]=float:[65536, 1024]
("addn_039", "addn_run", ((65536, 1024), "float32", 2)),
# float-float:[8, 128, 1024]-[8, 128, 1024]=float:[8, 128, 1024]
("addn_040", "addn_run", ((8, 128, 1024), "float32", 2)),
# float-float:[8, 16, 128, 128]-[8, 16, 128, 128]=float:[8, 16, 128, 128]
("addn_041", "addn_run", ((8, 16, 128, 128), "float32", 2)),
# float-float:[8, 16, 128, 64]-[8, 16, 128, 64]=float:[8, 16, 128, 64]
("addn_042", "addn_run", ((8, 16, 128, 64), "float32", 2)),
# float-float-float:[1024, 1024]-[1024, 1024]-[1024, 1024]=float:[1024, 1024]
("addn_043", "addn_run", ((1024, 1024), "float32", 3)),
# float-float-float:[128, 1024]-[128, 1024]-[128, 1024]=float:[128, 1024]
("addn_044", "addn_run", ((128, 1024), "float32", 3)),
# float-float-float:[131072, 1024]-[131072, 1024]-[131072, 1024]=float:[131072, 1024]
("addn_045", "addn_run", ((131072, 1024), "float32", 3)),
# float-float-float:[16384, 1024]-[16384, 1024]-[16384, 1024]=float:[16384, 1024]
("addn_046", "addn_run", ((16384, 1024), "float32", 3)),
# float-float-float:[2048, 1024]-[2048, 1024]-[2048, 1024]=float:[2048, 1024]
("addn_047", "addn_run", ((2048, 1024), "float32", 3)),
# float-float-float:[256, 1024]-[256, 1024]-[256, 1024]=float:[256, 1024]
("addn_048", "addn_run", ((256, 1024), "float32", 3)),
# float-float-float:[32768, 1024]-[32768, 1024]-[32768, 1024]=float:[32768, 1024]
("addn_049", "addn_run", ((32768, 1024), "float32", 3)),
# float-float-float:[4096, 1024]-[4096, 1024]-[4096, 1024]=float:[4096, 1024]
("addn_050", "addn_run", ((4096, 1024), "float32", 3)),
# float-float-float:[512, 1024]-[512, 1024]-[512, 1024]=float:[512, 1024]
("addn_051", "addn_run", ((512, 1024), "float32", 3)),
# float-float-float:[65536, 1024]-[65536, 1024]-[65536, 1024]=float:[65536, 1024]
("addn_052", "addn_run", ((65536, 1024), "float32", 3)),
# LogSoftMax OP
# float:[10240, 21128]=float:[10240, 21128]
("logsoftmax_001", "logsoftmax_run", ((10240, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1024, 2]=float:[1024, 2]
("logsoftmax_002", "logsoftmax_run", ((1024, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[128, 2]=float:[128, 2]
("logsoftmax_003", "logsoftmax_run", ((128, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1, 2]=float:[1, 2]
("logsoftmax_004", "logsoftmax_run", ((1, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[160, 21128]=float:[160, 21128]
("logsoftmax_005", "logsoftmax_run", ((160, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[16, 2]=float:[16, 2]
("logsoftmax_006", "logsoftmax_run", ((16, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20, 21128]=float:[20, 21128]
("logsoftmax_007", "logsoftmax_run", ((20, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20480, 21128]=float:[20480, 21128]
("logsoftmax_008", "logsoftmax_run", ((20480, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2, 2]=float:[2, 2]
("logsoftmax_009", "logsoftmax_run", ((2, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2560, 21128]=float:[2560, 21128]
("logsoftmax_0010", "logsoftmax_run", ((2560, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[256, 2]=float:[256, 2]
("logsoftmax_0011", "logsoftmax_run", ((256, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[320, 21128]=float:[320, 21128]
("logsoftmax_0012", "logsoftmax_run", ((320, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[32, 2]=float:[32, 2]
("logsoftmax_0013", "logsoftmax_run", ((32, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[40, 21128]=float:[40, 21128]
("logsoftmax_0014", "logsoftmax_run", ((40, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[4, 2]=float:[4, 2]
("logsoftmax_0015", "logsoftmax_run", ((4, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[5120, 21128]=float:[5120, 21128]
("logsoftmax_0016", "logsoftmax_run", ((5120, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[512, 2]=float:[512, 2]
("logsoftmax_0017", "logsoftmax_run", ((512, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[640, 21128]=float:[640, 21128]
("logsoftmax_0018", "logsoftmax_run", ((640, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[80, 21128]=float:[80, 21128]
("logsoftmax_0019", "logsoftmax_run", ((80, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[8, 2]=float:[8, 2]
("logsoftmax_0020", "logsoftmax_run", ((8, 2), "float32", -1, "cce_logsoftmax_fp32")),
# LogSoftMaxGrad OP
# float:[10240, 21128]=float:[10240, 21128]
("logsoftmax_grad_001", "logsoftmax_grad_run", ((10240, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1024, 2]=float:[1024, 2]
("logsoftmax_grad_002", "logsoftmax_grad_run", ((1024, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[128, 2]=float:[128, 2]
("logsoftmax_grad_003", "logsoftmax_grad_run", ((128, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[1, 2]=float:[1, 2]
("logsoftmax_grad_004", "logsoftmax_grad_run", ((1, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[160, 21128]=float:[160, 21128]
("logsoftmax_grad_005", "logsoftmax_grad_run", ((160, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[16, 2]=float:[16, 2]
("logsoftmax_grad_006", "logsoftmax_grad_run", ((16, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20, 21128]=float:[20, 21128]
("logsoftmax_grad_007", "logsoftmax_grad_run", ((20, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[20480, 21128]=float:[20480, 21128]
("logsoftmax_grad_008", "logsoftmax_grad_run", ((20480, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2, 2]=float:[2, 2]
("logsoftmax_grad_009", "logsoftmax_grad_run", ((2, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[2560, 21128]=float:[2560, 21128]
("logsoftmax_grad_0010", "logsoftmax_grad_run", ((2560, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[256, 2]=float:[256, 2]
("logsoftmax_grad_0011", "logsoftmax_grad_run", ((256, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[320, 21128]=float:[320, 21128]
("logsoftmax_grad_0012", "logsoftmax_grad_run", ((320, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[32, 2]=float:[32, 2]
("logsoftmax_grad_0013", "logsoftmax_grad_run", ((32, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[40, 21128]=float:[40, 21128]
("logsoftmax_grad_0014", "logsoftmax_grad_run", ((40, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[4, 2]=float:[4, 2]
("logsoftmax_grad_0015", "logsoftmax_grad_run", ((4, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[5120, 21128]=float:[5120, 21128]
("logsoftmax_grad_0016", "logsoftmax_grad_run", ((5120, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[512, 2]=float:[512, 2]
("logsoftmax_grad_0017", "logsoftmax_grad_run", ((512, 2), "float32", -1, "cce_logsoftmax_fp32")),
# float:[640, 21128]=float:[640, 21128]
("logsoftmax_grad_0018", "logsoftmax_grad_run", ((640, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[80, 21128]=float:[80, 21128]
("logsoftmax_grad_0019", "logsoftmax_grad_run", ((80, 21128), "float32", -1, "cce_logsoftmax_fp32")),
# float:[8, 2]=float:[8, 2]
("logsoftmax_grad_0020", "logsoftmax_grad_run", ((8, 2), "float32", -1, "cce_logsoftmax_fp32")),
# matmul op
# float-float:[10240, 1024]-[1024, 1024]=float:[10240, 1024]
("matmul_01", "batchmatmul_run",
((), 10240, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[10240, 1024]-[21128, 1024]=float:[10240, 21128]
("matmul_02", "batchmatmul_run",
((), 10240, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[10240, 21128]-[10240, 1024]=float:[21128, 1024]
("matmul_03", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[10240, 21128]-[21128, 1024]=float:[10240, 1024]
("matmul_04", "batchmatmul_run",
((), 10240, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 1024]-[1024, 1024]=float:[1024, 1024]
(
"matmul_05", "batchmatmul_run",
((), 1024, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 1024]-[1024, 4096]=float:[1024, 4096]
(
"matmul_06", "batchmatmul_run",
((), 1024, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 128, 1]-[1024, 1, 128]=float:[1024, 128, 128]
(
"matmul_07", "batchmatmul_run",
((1024,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 16, 128, 128]-[1024, 16, 128, 64]=float:[1024, 16, 128, 64]
("matmul_08", "batchmatmul_run",
((1024, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 16, 128, 64]-[1024, 16, 128, 64]=float:[1024, 16, 128, 128]
("matmul_09", "batchmatmul_run",
((1024, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 2]-[2, 1024]=float:[1024, 1024]
("matmul_010", "batchmatmul_run", ((), 1024, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 4096]-[4096, 1024]=float:[1024, 1024]
("matmul_011", "batchmatmul_run",
((), 1024, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 1024]-[1024, 1024]=float:[1, 1024]
("matmul_012", "batchmatmul_run", ((), 1, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 128, 1]-[1, 1, 128]=float:[1, 128, 128]
("matmul_013", "batchmatmul_run", ((1,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 16, 128, 128]-[1, 16, 128, 64]=float:[1, 16, 128, 64]
("matmul_014", "batchmatmul_run",
((1, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 16, 128, 64]-[1, 16, 128, 64]=float:[1, 16, 128, 128]
("matmul_015", "batchmatmul_run",
((1, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[1, 2]-[2, 1024]=float:[1, 1024]
("matmul_016", "batchmatmul_run", ((), 1, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 1024]-[1024, 1024]=float:[128, 1024]
(
"matmul_017", "batchmatmul_run",
((), 128, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 1024]-[1024, 4096]=float:[128, 4096]
(
"matmul_018", "batchmatmul_run",
((), 128, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 128, 1]-[128, 1, 128]=float:[128, 128, 128]
(
"matmul_019", "batchmatmul_run",
((128,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 128, 128]-[128, 128, 64]=float:[128, 128, 64]
("matmul_020", "batchmatmul_run",
((128,), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 128, 64]-[128, 128, 64]=float:[128, 128, 128]
(
"matmul_021", "batchmatmul_run",
((128,), 128, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 16, 128, 128]-[128, 16, 128, 64]=float:[128, 16, 128, 64]
("matmul_022", "batchmatmul_run",
((128, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 16, 128]-[128, 128, 64]=float:[128, 16, 64]
(
"matmul_023", "batchmatmul_run",
((128,), 16, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 16, 128]-[128, 16, 64]=float:[128, 128, 64]
("matmul_024", "batchmatmul_run", ((128,), 128, 64, 16, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 16, 128, 64]-[128, 16, 128, 64]=float:[128, 16, 128, 128]
("matmul_025", "batchmatmul_run",
((128, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 16384, 128]-[128, 128, 64]=float:[128, 16384, 64]
("matmul_026", "batchmatmul_run",
((128,), 16384, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 16384, 128]-[128, 16384, 64]=float:[128, 128, 64]
("matmul_027", "batchmatmul_run",
((128,), 128, 64, 16384, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 16384, 64]-[128, 128, 64]=float:[128, 16384, 128]
("matmul_028", "batchmatmul_run",
((128,), 16384, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 16, 64]-[128, 128, 64]=float:[128, 16, 128]
("matmul_029", "batchmatmul_run", ((128,), 16, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 2048, 128]-[128, 128, 64]=float:[128, 2048, 64]
("matmul_030", "batchmatmul_run",
((128,), 2048, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 2048, 128]-[128, 2048, 64]=float:[128, 128, 64]
("matmul_031", "batchmatmul_run",
((128,), 128, 64, 2048, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 2048, 64]-[128, 128, 64]=float:[128, 2048, 128]
("matmul_032", "batchmatmul_run",
((128,), 2048, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 2]-[2, 1024]=float:[128, 1024]
("matmul_033", "batchmatmul_run", ((), 128, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 256, 128]-[128, 128, 64]=float:[128, 256, 64]
("matmul_034", "batchmatmul_run",
((128,), 256, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 256, 128]-[128, 256, 64]=float:[128, 128, 64]
(
"matmul_035", "batchmatmul_run",
((128,), 128, 64, 256, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 256, 64]-[128, 128, 64]=float:[128, 256, 128]
(
"matmul_036", "batchmatmul_run",
((128,), 256, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 32, 128]-[128, 128, 64]=float:[128, 32, 64]
(
"matmul_037", "batchmatmul_run",
((128,), 32, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 32, 128]-[128, 32, 64]=float:[128, 128, 64]
("matmul_038", "batchmatmul_run", ((128,), 128, 64, 32, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 32, 64]-[128, 128, 64]=float:[128, 32, 128]
("matmul_039", "batchmatmul_run", ((128,), 32, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 4096, 128]-[128, 128, 64]=float:[128, 4096, 64]
("matmul_040", "batchmatmul_run",
((128,), 4096, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 4096, 128]-[128, 4096, 64]=float:[128, 128, 64]
("matmul_041", "batchmatmul_run",
((128,), 128, 64, 4096, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 4096]-[4096, 1024]=float:[128, 1024]
(
"matmul_042", "batchmatmul_run",
((), 128, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 4096, 64]-[128, 128, 64]=float:[128, 4096, 128]
("matmul_043", "batchmatmul_run",
((128,), 4096, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 512, 128]-[128, 128, 64]=float:[128, 512, 64]
("matmul_044", "batchmatmul_run",
((128,), 512, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 512, 128]-[128, 512, 64]=float:[128, 128, 64]
(
"matmul_045", "batchmatmul_run",
((128,), 128, 64, 512, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 512, 64]-[128, 128, 64]=float:[128, 512, 128]
(
"matmul_046", "batchmatmul_run",
((128,), 512, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 64, 128]-[128, 128, 64]=float:[128, 64, 64]
(
"matmul_047", "batchmatmul_run",
((128,), 64, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 64, 128]-[128, 64, 64]=float:[128, 128, 64]
("matmul_048", "batchmatmul_run", ((128,), 128, 64, 64, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 64, 64]-[128, 128, 64]=float:[128, 64, 128]
("matmul_049", "batchmatmul_run", ((128,), 64, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 8192, 128]-[128, 128, 64]=float:[128, 8192, 64]
("matmul_050", "batchmatmul_run",
((128,), 8192, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 8192, 128]-[128, 8192, 64]=float:[128, 128, 64]
("matmul_051", "batchmatmul_run",
((128,), 128, 64, 8192, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 8192, 64]-[128, 128, 64]=float:[128, 8192, 128]
("matmul_052", "batchmatmul_run",
((128,), 8192, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[131072, 1024]-[1024, 1024]=float:[131072, 1024]
("matmul_053", "batchmatmul_run",
((), 131072, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[131072, 1024]-[1024, 4096]=float:[131072, 4096]
("matmul_054", "batchmatmul_run",
((), 131072, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[131072, 4096]-[4096, 1024]=float:[131072, 1024]
("matmul_055", "batchmatmul_run",
((), 131072, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[160, 1024]-[1024, 1024]=float:[160, 1024]
(
"matmul_056", "batchmatmul_run",
((), 160, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[160, 1024]-[21128, 1024]=float:[160, 21128]
("matmul_057", "batchmatmul_run",
((), 160, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[160, 21128]-[160, 1024]=float:[21128, 1024]
("matmul_058", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[160, 21128]-[21128, 1024]=float:[160, 1024]
("matmul_059", "batchmatmul_run",
((), 160, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 1024]-[1024, 1024]=float:[16, 1024]
("matmul_060", "batchmatmul_run", ((), 16, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 128, 1]-[16, 1, 128]=float:[16, 128, 128]
("matmul_061", "batchmatmul_run", ((16,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 16, 128, 128]-[16, 16, 128, 64]=float:[16, 16, 128, 64]
("matmul_062", "batchmatmul_run",
((16, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 16, 128, 64]-[16, 16, 128, 64]=float:[16, 16, 128, 128]
("matmul_063", "batchmatmul_run",
((16, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[16, 2]-[2, 1024]=float:[16, 1024]
("matmul_064", "batchmatmul_run", ((), 16, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16384, 1024]-[1024, 1024]=float:[16384, 1024]
("matmul_065", "batchmatmul_run",
((), 16384, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16384, 1024]-[1024, 4096]=float:[16384, 4096]
("matmul_066", "batchmatmul_run",
((), 16384, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[16384, 4096]-[4096, 1024]=float:[16384, 1024]
("matmul_067", "batchmatmul_run",
((), 16384, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20, 1024]-[1024, 1024]=float:[20, 1024]
("matmul_068", "batchmatmul_run", ((), 20, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20, 1024]-[21128, 1024]=float:[20, 21128]
(
"matmul_069", "batchmatmul_run",
((), 20, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20, 21128]-[20, 1024]=float:[21128, 1024]
("matmul_070", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20, 21128]-[21128, 1024]=float:[20, 1024]
(
"matmul_071", "batchmatmul_run",
((), 20, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20480, 1024]-[1024, 1024]=float:[20480, 1024]
("matmul_072", "batchmatmul_run",
((), 20480, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20480, 1024]-[21128, 1024]=float:[20480, 21128]
("matmul_073", "batchmatmul_run",
((), 20480, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20480, 21128]-[20480, 1024]=float:[21128, 1024]
("matmul_074", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[20480, 21128]-[21128, 1024]=float:[20480, 1024]
("matmul_075", "batchmatmul_run",
((), 20480, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2048, 1024]-[1024, 1024]=float:[2048, 1024]
("matmul_076", "batchmatmul_run",
((), 2048, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2048, 1024]-[1024, 4096]=float:[2048, 4096]
("matmul_077", "batchmatmul_run",
((), 2048, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2048, 4096]-[4096, 1024]=float:[2048, 1024]
("matmul_078", "batchmatmul_run",
((), 2048, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 1024]-[1024, 1024]=float:[2, 1024]
("matmul_079", "batchmatmul_run", ((), 2, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 128, 1]-[2, 1, 128]=float:[2, 128, 128]
("matmul_080", "batchmatmul_run", ((2,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 16, 128, 128]-[2, 16, 128, 64]=float:[2, 16, 128, 64]
("matmul_081", "batchmatmul_run",
((2, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 16, 128, 64]-[2, 16, 128, 64]=float:[2, 16, 128, 128]
("matmul_082", "batchmatmul_run",
((2, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[2, 2]-[2, 1024]=float:[2, 1024]
("matmul_083", "batchmatmul_run", ((), 2, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2560, 1024]-[1024, 1024]=float:[2560, 1024]
("matmul_084", "batchmatmul_run",
((), 2560, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2560, 1024]-[21128, 1024]=float:[2560, 21128]
("matmul_085", "batchmatmul_run",
((), 2560, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2560, 21128]-[21128, 1024]=float:[2560, 1024]
("matmul_086", "batchmatmul_run",
((), 2560, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[2560, 21128]-[2560, 1024]=float:[21128, 1024]
("matmul_087", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 1024]-[1024, 1024]=float:[256, 1024]
(
"matmul_088", "batchmatmul_run",
((), 256, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 1024]-[1024, 4096]=float:[256, 4096]
(
"matmul_089", "batchmatmul_run",
((), 256, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 128, 1]-[256, 1, 128]=float:[256, 128, 128]
(
"matmul_090", "batchmatmul_run",
((256,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 16, 128, 128]-[256, 16, 128, 64]=float:[256, 16, 128, 64]
("matmul_091", "batchmatmul_run",
((256, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 16, 128, 64]-[256, 16, 128, 64]=float:[256, 16, 128, 128]
("matmul_092", "batchmatmul_run",
((256, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 2]-[2, 1024]=float:[256, 1024]
("matmul_093", "batchmatmul_run", ((), 256, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 4096]-[4096, 1024]=float:[256, 1024]
(
"matmul_094", "batchmatmul_run",
((), 256, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[320, 1024]-[1024, 1024]=float:[320, 1024]
(
"matmul_095", "batchmatmul_run",
((), 320, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[320, 1024]-[21128, 1024]=float:[320, 21128]
("matmul_096", "batchmatmul_run",
((), 320, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[320, 21128]-[21128, 1024]=float:[320, 1024]
("matmul_097", "batchmatmul_run",
((), 320, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[320, 21128]-[320, 1024]=float:[21128, 1024]
("matmul_098", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 1024]-[1024, 1024]=float:[32, 1024]
("matmul_099", "batchmatmul_run", ((), 32, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 128, 1]-[32, 1, 128]=float:[32, 128, 128]
(
"matmul_0100", "batchmatmul_run",
((32,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 16, 128, 128]-[32, 16, 128, 64]=float:[32, 16, 128, 64]
("matmul_0101", "batchmatmul_run",
((32, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 16, 128, 64]-[32, 16, 128, 64]=float:[32, 16, 128, 128]
("matmul_0102", "batchmatmul_run",
((32, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[32, 2]-[2, 1024]=float:[32, 1024]
("matmul_0103", "batchmatmul_run", ((), 32, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32768, 1024]-[1024, 1024]=float:[32768, 1024]
("matmul_0104", "batchmatmul_run",
((), 32768, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32768, 1024]-[1024, 4096]=float:[32768, 4096]
("matmul_0105", "batchmatmul_run",
((), 32768, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[32768, 4096]-[4096, 1024]=float:[32768, 1024]
("matmul_0106", "batchmatmul_run",
((), 32768, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[40, 1024]-[1024, 1024]=float:[40, 1024]
(
"matmul_0107", "batchmatmul_run",
((), 40, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[40, 1024]-[21128, 1024]=float:[40, 21128]
("matmul_0108", "batchmatmul_run",
((), 40, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[40, 21128]-[21128, 1024]=float:[40, 1024]
("matmul_0109", "batchmatmul_run",
((), 40, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[40, 21128]-[40, 1024]=float:[21128, 1024]
("matmul_0110", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4096, 1024]-[1024, 1024]=float:[4096, 1024]
("matmul_0111", "batchmatmul_run",
((), 4096, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4096, 1024]-[1024, 4096]=float:[4096, 4096]
("matmul_0112", "batchmatmul_run",
((), 4096, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4096, 4096]-[4096, 1024]=float:[4096, 1024]
("matmul_0113", "batchmatmul_run",
((), 4096, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4, 1024]-[1024, 1024]=float:[4, 1024]
("matmul_0114", "batchmatmul_run", ((), 4, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4, 128, 1]-[4, 1, 128]=float:[4, 128, 128]
("matmul_0115", "batchmatmul_run", ((4,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4, 16, 128, 128]-[4, 16, 128, 64]=float:[4, 16, 128, 64]
("matmul_0116", "batchmatmul_run",
((4, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[4, 16, 128, 64]-[4, 16, 128, 64]=float:[4, 16, 128, 128]
("matmul_0117", "batchmatmul_run",
((4, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[4, 2]-[2, 1024]=float:[4, 1024]
("matmul_0118", "batchmatmul_run", ((), 4, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[5120, 1024]-[1024, 1024]=float:[5120, 1024]
("matmul_0119", "batchmatmul_run",
((), 5120, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[5120, 1024]-[21128, 1024]=float:[5120, 21128]
("matmul_0120", "batchmatmul_run",
((), 5120, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[5120, 21128]-[21128, 1024]=float:[5120, 1024]
("matmul_0121", "batchmatmul_run",
((), 5120, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[5120, 21128]-[5120, 1024]=float:[21128, 1024]
("matmul_0122", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 1024]-[1024, 1024]=float:[512, 1024]
("matmul_0123", "batchmatmul_run",
((), 512, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 1024]-[1024, 4096]=float:[512, 4096]
("matmul_0124", "batchmatmul_run",
((), 512, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 128, 1]-[512, 1, 128]=float:[512, 128, 128]
("matmul_0125", "batchmatmul_run",
((512,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 16, 128, 128]-[512, 16, 128, 64]=float:[512, 16, 128, 64]
("matmul_0126", "batchmatmul_run",
((512, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 16, 128, 64]-[512, 16, 128, 64]=float:[512, 16, 128, 128]
("matmul_0127", "batchmatmul_run",
((512, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 2]-[2, 1024]=float:[512, 1024]
("matmul_0128", "batchmatmul_run", ((), 512, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 4096]-[4096, 1024]=float:[512, 1024]
("matmul_0129", "batchmatmul_run",
((), 512, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[640, 1024]-[1024, 1024]=float:[640, 1024]
("matmul_0130", "batchmatmul_run",
((), 640, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[640, 1024]-[21128, 1024]=float:[640, 21128]
("matmul_0131", "batchmatmul_run",
((), 640, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[640, 21128]-[21128, 1024]=float:[640, 1024]
("matmul_0132", "batchmatmul_run",
((), 640, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[640, 21128]-[640, 1024]=float:[21128, 1024]
("matmul_0133", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[65536, 1024]-[1024, 1024]=float:[65536, 1024]
("matmul_0134", "batchmatmul_run",
((), 65536, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[65536, 1024]-[1024, 4096]=float:[65536, 4096]
("matmul_0135", "batchmatmul_run",
((), 65536, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[65536, 4096]-[4096, 1024]=float:[65536, 1024]
("matmul_0136", "batchmatmul_run",
((), 65536, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# float-float:[80, 1024]-[1024, 1024]=float:[80, 1024]
(
"matmul_0137", "batchmatmul_run",
((), 80, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[80, 1024]-[21128, 1024]=float:[80, 21128]
("matmul_0138", "batchmatmul_run",
((), 80, 21128, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[80, 21128]-[21128, 1024]=float:[80, 1024]
("matmul_0139", "batchmatmul_run",
((), 80, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[80, 21128]-[80, 1024]=float:[21128, 1024]
("matmul_0140", "batchmatmul_run",
((), 21128, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8, 1024]-[1024, 1024]=float:[8, 1024]
("matmul_0141", "batchmatmul_run", ((), 8, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8, 128, 1]-[8, 1, 128]=float:[8, 128, 128]
("matmul_0142", "batchmatmul_run", ((8,), 128, 128, 1, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8, 16, 128, 128]-[8, 16, 128, 64]=float:[8, 16, 128, 64]
("matmul_0143", "batchmatmul_run",
((8, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8, 16, 128, 64]-[8, 16, 128, 64]=float:[8, 16, 128, 128]
("matmul_0144", "batchmatmul_run",
((8, 16), 128, 128, 128, (), "float32", False, True, "batch_matmul_output")),
# float-float:[8, 2]-[2, 1024]=float:[8, 1024]
("matmul_0145", "batchmatmul_run", ((), 8, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# Neg OP
# float:[10240]=float:[10240]
("neg_001", "neg_run", ((10240,), "float32")),
# float:[1024]=float:[1024]
("neg_002", "neg_run", ((1024,), "float32")),
# float:[128]=float:[128]
("neg_003", "neg_run", ((128,), "float32")),
# float:[160]=float:[160]
("neg_004", "neg_run", ((160,), "float32")),
# float:[16]=float:[16]
("neg_005", "neg_run", ((16,), "float32")),
# float:[1]=float:[1]
("neg_006", "neg_run", ((1,), "float32")),
# float:[20480]=float:[20480]
("neg_007", "neg_run", ((20480,), "float32")),
# float:[20]=float:[20]
("neg_008", "neg_run", ((20,), "float32")),
# float:[2560]=float:[2560]
("neg_009", "neg_run", ((2560,), "float32")),
# float:[256]=float:[256]
("neg_0010", "neg_run", ((256,), "float32")),
# float:[2]=float:[2]
("neg_0011", "neg_run", ((2,), "float32")),
# float:[320]=float:[320]
("neg_0012", "neg_run", ((320,), "float32")),
# float:[32]=float:[32]
("neg_0013", "neg_run", ((32,), "float32")),
# float:[40]=float:[40]
("neg_0014", "neg_run", ((40,), "float32")),
# float:[4]=float:[4]
("neg_0015", "neg_run", ((4,), "float32")),
# float:[5120]=float:[5120]
("neg_0016", "neg_run", ((5120,), "float32")),
# float:[512]=float:[512]
("neg_0017", "neg_run", ((512,), "float32")),
# float:[640]=float:[640]
("neg_0018", "neg_run", ((640,), "float32")),
# float:[80]=float:[80]
("neg_0019", "neg_run", ((80,), "float32")),
# float:[8]=float:[8]
("neg_0020", "neg_run", ((8,), "float32")),
# onehot OP
# int32-int32-float-float:[10240]-[]-[]-[]=float:[10240, 21128]
("one_hot_001", "one_hot_run", ((10240,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[1024]-[]-[]-[]=float:[1024, 2]
("one_hot_002", "one_hot_run", ((1024,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[128]-[]-[]-[]=float:[128, 2]
("one_hot_003", "one_hot_run", ((128,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[160]-[]-[]-[]=float:[160, 21128]
("one_hot_004", "one_hot_run", ((160,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[16]-[]-[]-[]=float:[16, 2]
("one_hot_005", "one_hot_run", ((16,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[1]-[]-[]-[]=float:[2]
("one_hot_006", "one_hot_run", ((1,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[20480]-[]-[]-[]=float:[20480, 21128]
("one_hot_007", "one_hot_run", ((20480,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[20]-[]-[]-[]=float:[20, 21128]
("one_hot_008", "one_hot_run", ((20,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[2560]-[]-[]-[]=float:[2560, 21128]
("one_hot_009", "one_hot_run", ((2560,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[256]-[]-[]-[]=float:[256, 2]
("one_hot_0010", "one_hot_run", ((256,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[2]-[]-[]-[]=float:[2, 2]
("one_hot_0011", "one_hot_run", ((2,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[320]-[]-[]-[]=float:[320, 21128]
("one_hot_0012", "one_hot_run", ((320,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[32]-[]-[]-[]=float:[32, 2]
("one_hot_0013", "one_hot_run", ((32,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[40]-[]-[]-[]=float:[40, 21128]
("one_hot_0014", "one_hot_run", ((40,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[4]-[]-[]-[]=float:[4, 2]
("one_hot_0015", "one_hot_run", ((4,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[5120]-[]-[]-[]=float:[5120, 21128]
("one_hot_0016", "one_hot_run", ((5120,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[512]-[]-[]-[]=float:[512, 2]
("one_hot_0017", "one_hot_run", ((512,), 2, "int32", 1, 0, -1)),
# int32-int32-float-float:[640]-[]-[]-[]=float:[640, 21128]
("one_hot_0018", "one_hot_run", ((640,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[80]-[]-[]-[]=float:[80, 21128]
("one_hot_0019", "one_hot_run", ((80,), 21128, "int32", 1, 0, -1)),
# int32-int32-float-float:[8]-[]-[]-[]=float:[8, 2]
("one_hot_0020", "one_hot_run", ((8,), 2, "int32", 1, 0, -1)),
# sub OP
# float-float:[1024, 1024]-[1024, 1024]=float:[1024, 1024]
("sub_001", "sub_run", [(1024, 1024), (1024, 1024), "float32"]),
# float-float:[1024]-[1024]=float:[1024]
("sub_002", "sub_run", [(1024,), (1024,), "float32"]),
# float-float:[1024, 16, 128, 128]-[1024, 16, 128, 1]=float:[1024, 16, 128, 128]
("sub_003", "sub_run", [(1024, 16, 128, 128,), (1024, 16, 128, 1), "float32"]),
# float-float:[1024, 4096]-[1024, 4096]=float:[1024, 4096]
("sub_004", "sub_run", [(1024, 4096,), (1024, 4096), "float32"]),
# float-float:[1]-[1024, 1, 128, 128]=float:[1024, 1, 128, 128]
("sub_005", "sub_run", [(1,), (1024, 1, 128, 128), "float32"]),
# float-float:[1]-[1, 1, 128, 128]=float:[1, 1, 128, 128]
("sub_006", "sub_run", [(1,), (1, 1, 128, 128), "float32"]),
# float-float:[1]-[128, 1, 128, 128]=float:[128, 1, 128, 128]
("sub_007", "sub_run", [(1,), (128, 1, 128, 128), "float32"]),
# float-float:[1]-[16, 1, 128, 128]=float:[16, 1, 128, 128]
("sub_008", "sub_run", [(1,), (16, 1, 128, 128), "float32"]),
# float-float:[1, 16, 128, 128]-[1, 16, 128, 1]=float:[1, 16, 128, 128]
("sub_009", "sub_run", [(1, 16, 128, 128,), (1, 16, 128, 1), "float32"]),
# float-float:[1]-[1]=float:[1]
("sub_0010", "sub_run", [(1,), (1,), "float32"]),
# float-float:[1]-[2, 1, 128, 128]=float:[2, 1, 128, 128]
("sub_0011", "sub_run", [(1,), (2, 1, 128, 128), "float32"]),
# float-float:[1]-[256, 1, 128, 128]=float:[256, 1, 128, 128]
("sub_0012", "sub_run", [(1,), (256, 1, 128, 128), "float32"]),
# float-float:[128, 16, 128, 128]-[128, 16, 128, 1]=float:[128, 16, 128, 128]
("sub_0013", "sub_run", [(128, 16, 128, 128,), (128, 16, 128, 1), "float32"]),
# float-float:[1]-[32, 1, 128, 128]=float:[32, 1, 128, 128]
("sub_0014", "sub_run", [(1,), (32, 1, 128, 128), "float32"]),
# float-float:[1]-[4, 1, 128, 128]=float:[4, 1, 128, 128]
("sub_0015", "sub_run", [(1,), (4, 1, 128, 128), "float32"]),
# float-float:[1]-[512, 1, 128, 128]=float:[512, 1, 128, 128]
("sub_0016", "sub_run", [(1,), (512, 1, 128, 128), "float32"]),
# float-float:[16, 16, 128, 128]-[16, 16, 128, 1]=float:[16, 16, 128, 128]
("sub_0017", "sub_run", [(16, 16, 128, 128,), (16, 16, 128, 1), "float32"]),
# float-float:[1]-[8, 1, 128, 128]=float:[8, 1, 128, 128]
("sub_0018", "sub_run", [(1,), (8, 1, 128, 128), "float32"]),
# float-float:[2, 1024]-[2, 1024]=float:[2, 1024]
("sub_0019", "sub_run", [(2, 1024,), (2, 1024), "float32"]),
# float-float:[21128, 1024]-[21128, 1024]=float:[21128, 1024
("sub_0020", "sub_run", [(21128, 1024,), (21128, 1024), "float32"]),
# float-float:[21128]-[21128]=float:[21128]
("sub_0021", "sub_run", [(21128,), (21128,), "float32"]),
# float-float:[2, 16, 128, 128]-[2, 16, 128, 1]=float:[2, 16, 128, 128]
("sub_0022", "sub_run", [(2, 16, 128, 128,), (2, 16, 128, 1), "float32"]),
# float-float:[2]-[2]=float:[2]
("sub_0023", "sub_run", [(2,), (2,), "float32"]),
# float-float:[256, 16, 128, 128]-[256, 16, 128, 1]=float:[256, 16, 128, 128]
("sub_0024", "sub_run", [(256, 16, 128, 128,), (256, 16, 128, 1), "float32"]),
# float-float:[32, 16, 128, 128]-[32, 16, 128, 1]=float:[32, 16, 128, 128]
("sub_0025", "sub_run", [(32, 16, 128, 128,), (32, 16, 128, 1), "float32"]),
# float-float:[33, 64]-[33, 64]=float:[33, 64]
("sub_0026", "sub_run", [(33, 64,), (33, 64), "float32"]),
# float-float:[4096, 1024]-[4096, 1024]=float:[4096, 1024]
("sub_0027", "sub_run", [(4096, 1024,), (4096, 1024), "float32"]),
# float-float:[4096]-[4096]=float:[4096]
("sub_0028", "sub_run", [(4096,), (4096,), "float32"]),
# float-float:[4, 16, 128, 128]-[4, 16, 128, 1]=float:[4, 16, 128, 128]
("sub_0029", "sub_run", [(4, 16, 128, 128,), (4, 16, 128, 1), "float32"]),
# float-float:[512, 16, 128, 128]-[512, 16, 128, 1]=float:[512, 16, 128, 128]
("sub_0030", "sub_run", [(512, 16, 128, 128,), (512, 16, 128, 1), "float32"]),
# float-float:[8, 16, 128, 128]-[8, 16, 128, 1]=float:[8, 16, 128, 128]
("sub_0031", "sub_run", [(8, 16, 128, 128,), (8, 16, 128, 1), "float32"]),
# int32-int32:[128, 128]-[128, 128]=int32:[128, 128]
("sub_0032", "sub_run", [(128, 128,), (128, 128), "int32"]),
# sum OP
# float-int32:[10240]-[-1]=float:[1]
("sum_001", "sum_run", ((10240,), (-1,), False, "float32")),
# float-int32:[10240, 21128]-[-1]=float:[21128]
("sum_002", "sum_run", ((10240, 21128), (-1,), False, "float32")),
# float-int32:[1024, 1024]-[-1]=float:[1024]
("sum_003", "sum_run", ((1024, 1024), (-1,), False, "float32")),
# float-int32:[1024, 16, 128, 128]-[-1]=float:[1024, 16, 128, 1]
("sum_004", "sum_run", ((1024, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[1024]-[-1]=float:[1]
("sum_005", "sum_run", ((1024,), (-1,), False, "float32")),
# float-int32:[1024, 4096]-[-1]=float:[1024]
("sum_006", "sum_run", ((1024, 4096), (-1,), False, "float32")),
# float-int32:[1, 16, 128, 128]-[-1]=float:[1, 16, 128, 1]
("sum_007", "sum_run", ((1, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[128, 16, 128, 128]-[-1]=float:[128, 16, 128, 1]
("sum_008", "sum_run", ((128, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[160]-[-1]=float:[1]
("sum_009", "sum_run", ((160,), (-1,), False, "float32")),
# float-int32:[160, 21128]-[-1]=float:[21128]
("sum_0010", "sum_run", ((160, 21128), (-1,), False, "float32")),
# float-int32:[16, 16, 128, 128]-[-1]=float:[16, 16, 128, 1]
("sum_0011", "sum_run", ((16, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[20]-[-1]=float:[1]
("sum_0012", "sum_run", ((20,), (-1,), False, "float32")),
# float-int32:[20, 21128]-[-1]=float:[21128]
("sum_0013", "sum_run", ((20, 21128), (-1,), False, "float32")),
# float-int32:[20480]-[-1]=float:[1]
("sum_0014", "sum_run", ((20480,), (-1,), False, "float32")),
# float-int32:[20480, 21128]-[-1]=float:[21128]
("sum_0015", "sum_run", ((20480, 21128), (-1,), False, "float32")),
# float-int32:[2, 1024]-[-1]=float:[2]
("sum_0016", "sum_run", ((2, 1024), (-1,), False, "float32")),
# float-int32:[21128, 1024]-[-1]=float:[21128]
("sum_0017", "sum_run", ((21128, 1024), (-1,), False, "float32")),
# float-int32:[21128]-[-1]=float:[1]
("sum_0018", "sum_run", ((21128,), (-1,), False, "float32")),
# float-int32:[2, 16, 128, 128]-[-1]=float:[2, 16, 128, 1]
("sum_0019", "sum_run", ((2, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[2]-[-1]=float:[1]
("sum_0020", "sum_run", ((2,), (-1,), False, "float32")),
# float-int32:[2560]-[-1]=float:[1]
("sum_0021", "sum_run", ((2560,), (-1,), False, "float32")),
# float-int32:[2560, 21128]-[-1]=float:[21128]
("sum_0022", "sum_run", ((2560, 21128), (-1,), False, "float32")),
# float-int32:[256, 16, 128, 128]-[-1]=float:[256, 16, 128, 1]
("sum_0023", "sum_run", ((256, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[320]-[-1]=float:[1]
("sum_0024", "sum_run", ((320,), (-1,), False, "float32")),
# float-int32:[320, 21128]-[-1]=float:[21128]
("sum_0025", "sum_run", ((320, 21128), (-1,), False, "float32")),
# float-int32:[32, 16, 128, 128]-[-1]=float:[32, 16, 128, 1]
("sum_0026", "sum_run", ((32, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[33, 64]-[-1]=float:[33]
("sum_0027", "sum_run", ((33, 64), (-1,), False, "float32")),
# float-int32:[40]-[-1]=float:[1]
("sum_0028", "sum_run", ((40,), (-1,), False, "float32")),
# float-int32:[40, 21128]-[-1]=float:[21128]
("sum_0029", "sum_run", ((40, 21128), (-1,), False, "float32")),
# float-int32:[4096, 1024]-[-1]=float:[4096]
("sum_0030", "sum_run", ((4096, 1024), (-1,), False, "float32")),
# float-int32:[4096]-[-1]=float:[1
("sum_0031", "sum_run", ((4096,), (-1,), False, "float32")),
# float-int32:[4, 16, 128, 128]-[-1]=float:[4, 16, 128, 1]
("sum_0032", "sum_run", ((4, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[5120]-[-1]=float:[1]
("sum_0033", "sum_run", ((5120,), (-1,), False, "float32")),
# float-int32:[5120, 21128]-[-1]=float:[21128]
("sum_0034", "sum_run", ((5120, 21128), (-1,), False, "float32")),
# float-int32:[512, 16, 128, 128]-[-1]=float:[512, 16, 128, 1]
("sum_0035", "sum_run", ((512, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[640]-[-1]=float:[1]
("sum_0036", "sum_run", ((640,), (-1,), False, "float32")),
# float-int32:[640, 21128]-[-1]=float:[21128]
("sum_0037", "sum_run", ((640, 21128), (-1,), False, "float32")),
# float-int32:[80]-[-1]=float:[1]
("sum_0038", "sum_run", ((80,), (-1,), False, "float32")),
# float-int32:[80, 21128]-[-1]=float:[21128]
("sum_0039", "sum_run", ((80, 21128), (-1,), False, "float32")),
# float-int32:[8, 16, 128, 128]-[-1]=float:[8, 16, 128, 1]
("sum_0040", "sum_run", ((8, 16, 128, 128), (-1,), False, "float32")),
# StridedSlice OP
# float-int32-int32-int32:[1024, 128, 1024]-[3]-[3]-[3]=float:[1024, 1, 1024]
("strided_slice_001", "strided_slice_run",
((1024, 128, 1024), [0, 0, 0], [1024, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[1, 128, 1024]-[3]-[3]-[3]=float:[1, 1, 1024]
("strided_slice_002", "strided_slice_run",
((1, 128, 1024), [0, 0, 0], [1, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[128, 128, 1024]-[3]-[3]-[3]=float:[128, 1, 1024]
("strided_slice_003", "strided_slice_run",
((128, 128, 1024), [0, 0, 0], [128, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[16, 128, 1024]-[3]-[3]-[3]=float:[16, 1, 1024]
("strided_slice_004", "strided_slice_run",
((16, 128, 1024), [0, 0, 0], [16, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[2, 128, 1024]-[3]-[3]-[3]=float:[2, 1, 1024]
("strided_slice_005", "strided_slice_run",
((2, 128, 1024), [0, 0, 0], [2, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[256, 128, 1024]-[3]-[3]-[3]=float:[256, 1, 1024]
("strided_slice_006", "strided_slice_run",
((256, 128, 1024), [0, 0, 0], [256, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[32, 128, 1024]-[3]-[3]-[3]=float:[32, 1, 1024]
("strided_slice_007", "strided_slice_run",
((32, 128, 1024), [0, 0, 0], [32, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[4, 128, 1024]-[3]-[3]-[3]=float:[4, 1, 1024]
("strided_slice_008", "strided_slice_run",
((4, 128, 1024), [0, 0, 0], [4, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[512, 128, 1024]-[3]-[3]-[3]=float:[512, 1, 1024]
("strided_slice_009", "strided_slice_run",
((512, 128, 1024), [0, 0, 0], [512, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# float-int32-int32-int32:[8, 128, 1024]-[3]-[3]-[3]=float:[8, 1, 1024]
("strided_slice_0010", "strided_slice_run",
((8, 128, 1024), [0, 0, 0], [8, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# StridedSliceGrad OP
# float-int32-int32-int32-int32:[1024, 1, 1024]-[3]-[3]-[3]-[3]=float:[1024, 128, 1024]
("strided_slice_grad_001", "strided_slice_grad_run",
[(1024, 128, 1024), [0, 0, 0], [1024, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (1024, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[1, 1, 1024]-[3]-[3]-[3]-[3]=float:[1, 128, 1024]
("strided_slice_grad_002", "strided_slice_grad_run",
[(1, 128, 1024), [0, 0, 0], [1, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (1, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[128, 1, 1024]-[3]-[3]-[3]-[3]=float:[128, 128, 1024]
("strided_slice_grad_003", "strided_slice_grad_run",
[(128, 128, 1024), [0, 0, 0], [128, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (128, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[16, 1, 1024]-[3]-[3]-[3]-[3]=float:[16, 128, 1024]
("strided_slice_grad_004", "strided_slice_grad_run",
[(16, 128, 1024), [0, 0, 0], [16, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (16, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[2, 1, 1024]-[3]-[3]-[3]-[3]=float:[2, 128, 1024]
("strided_slice_grad_005", "strided_slice_grad_run",
[(2, 128, 1024), [0, 0, 0], [2, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (2, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[256, 1, 1024]-[3]-[3]-[3]-[3]=float:[256, 128, 1024]
("strided_slice_grad_006", "strided_slice_grad_run",
[(256, 128, 1024), [0, 0, 0], [256, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (256, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[32, 1, 1024]-[3]-[3]-[3]-[3]=float:[32, 128, 1024]
("strided_slice_grad_007", "strided_slice_grad_run",
[(32, 128, 1024), [0, 0, 0], [32, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (32, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[4, 1, 1024]-[3]-[3]-[3]-[3]=float:[4, 128, 1024]
("strided_slice_grad_008", "strided_slice_grad_run",
[(4, 128, 1024), [0, 0, 0], [4, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (4, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[512, 1, 1024]-[3]-[3]-[3]-[3]=float:[512, 128, 1024]
("strided_slice_grad_009", "strided_slice_grad_run",
[(512, 128, 1024), [0, 0, 0], [512, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (512, 1, 1024), "int32"]),
# float-int32-int32-int32-int32:[8, 1, 1024]-[3]-[3]-[3]-[3]=float:[8, 128, 1024]
("strided_slice_grad_0010", "strided_slice_grad_run",
[(8, 128, 1024), [0, 0, 0], [8, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (8, 1, 1024), "int32"]),
# tanh OP
# float:[1024, 1024]=float:[1024, 1024]
("tanh_001", "tanh_run", ((1024, 1024), "float32")),
# float:[1, 1024]=float:[1, 1024]
("tanh_002", "tanh_run", ((1, 1024), "float32")),
# float:[128, 1024]=float:[128, 1024]
("tanh_003", "tanh_run", ((128, 1024), "float32")),
# float:[16, 1024]=float:[16, 1024]
("tanh_004", "tanh_run", ((16, 1024), "float32")),
# float:[2, 1024]=float:[2, 1024]
("tanh_005", "tanh_run", ((2, 1024), "float32")),
# float:[256, 1024]=float:[256, 1024]
("tanh_006", "tanh_run", ((256, 1024), "float32")),
# float:[32, 1024]=float:[32, 1024]
("tanh_007", "tanh_run", ((32, 1024), "float32")),
# float:[4, 1024]=float:[4, 1024]
("tanh_008", "tanh_run", ((4, 1024), "float32")),
# float:[512, 1024]=float:[512, 1024]
("tanh_009", "tanh_run", ((512, 1024), "float32")),
# float:[8, 1024]=float:[8, 1024]
("tanh_010", "tanh_run", ((8, 1024), "float32")),
# tanh OP
# float:[1024, 1024]=float:[1024, 1024]
("tanh_grad_001", "tanh_grad_run", ((1024, 1024), "float32")),
# float:[1, 1024]=float:[1, 1024]
("tanh_grad_002", "tanh_grad_run", ((1, 1024), "float32")),
# float:[128, 1024]=float:[128, 1024]
("tanh_grad_003", "tanh_grad_run", ((128, 1024), "float32")),
# float:[16, 1024]=float:[16, 1024]
("tanh_grad_004", "tanh_grad_run", ((16, 1024), "float32")),
# float:[2, 1024]=float:[2, 1024]
("tanh_grad_005", "tanh_grad_run", ((2, 1024), "float32")),
# float:[256, 1024]=float:[256, 1024]
("tanh_grad_006", "tanh_grad_run", ((256, 1024), "float32")),
# float:[32, 1024]=float:[32, 1024]
("tanh_grad_007", "tanh_grad_run", ((32, 1024), "float32")),
# float:[4, 1024]=float:[4, 1024]
("tanh_grad_008", "tanh_grad_run", ((4, 1024), "float32")),
# float:[512, 1024]=float:[512, 1024]
("tanh_grad_009", "tanh_grad_run", ((512, 1024), "float32")),
# float:[8, 1024]=float:[8, 1024]
("tanh_grad_010", "tanh_grad_run", ((8, 1024), "float32")),
# reshape OP
# float-int32:[10240, 1]-[2]=float:[10240]
("reshape_0001", "reshape_run", [(10240, 1), (10240,), "float32"]),
("reshape_0002", "reshape_run", [(10240,), (10240, 1), "float32"]),
# float-int32:[1024, 1024]-[2]=float:[1024, 1024]
("reshape_0003", "reshape_run", [(1024, 1024), (1024, 1024), "float32"]),
# float-int32:[1024, 1024]-[2]=float:[8, 128, 1024]
("reshape_0004", "reshape_run", [(1024, 1024), (8, 128, 1024), "float32"]),
("reshape_0005", "reshape_run", [(8, 128, 1024), (1024, 1024), "float32"]),
# float-int32:[1024, 1024]-[2]=float:[8, 128, 16, 64]
("reshape_0006", "reshape_run", [(1024, 1024), (8, 128, 16, 64), "float32"]),
("reshape_0007", "reshape_run", [(8, 128, 16, 64), (1024, 1024), "float32"]),
# float-int32:[1024, 1024]-[3]=float:[1024, 1, 1024]
("reshape_0008", "reshape_run", [(1024, 1024), (1024, 1, 1024), "float32"]),
("reshape_0009", "reshape_run", [(1024, 1, 1024), (1024, 1024), "float32"]),
# float-int32:[1024, 128, 1024]-[2]=float:[131072, 1024]
("reshape_0010", "reshape_run", [(1024, 128, 1024), (131072, 1024), "float32"]),
("reshape_0011", "reshape_run", [(131072, 1024), (1024, 128, 1024), "float32"]),
# float-int32:[1024, 128, 16, 64]-[2]=float:[131072, 1024]
("reshape_0012", "reshape_run", [(1024, 128, 16, 64), (131072, 1024), "float32"]),
("reshape_0013", "reshape_run", [(131072, 1024), (1024, 128, 16, 64), "float32"]),
# float-int32:[1024, 1]-[2]=float:[1024]
("reshape_0014", "reshape_run", [(1024, 1), (1024,), "float32"]),
("reshape_0015", "reshape_run", [(1024,), (1024, 1), "float32"]),
# float-int32:[1024, 4096]-[2]=float:[1024, 4096]
("reshape_0016", "reshape_run", [(1024, 4096), (1024, 4096), "float32"]),
# float-int32:[1, 1024]-[3]=float:[1, 1, 1024]
("reshape_0017", "reshape_run", [(1, 1024), (1, 1, 1024), "float32"]),
("reshape_0018", "reshape_run", [(1, 1, 1024), (1, 1024), "float32"]),
# float-int32:[1, 128, 1024]-[2]=float:[128, 1024]
("reshape_0019", "reshape_run", [(1, 128, 1024), (128, 1024), "float32"]),
("reshape_0020", "reshape_run", [(128, 1024), (1, 128, 1024), "float32"]),
# float-int32:[1, 128, 16, 64]-[2]=float:[128, 1024]
("reshape_0021", "reshape_run", [(1, 128, 16, 64), (128, 1024), "float32"]),
("reshape_0022", "reshape_run", [(128, 1024), (1, 128, 16, 64), "float32"]),
# float-int32:[1, 1]-[2]=float:[1]
("reshape_0023", "reshape_run", [(1, 1), (1,), "float32"]),
("reshape_0024", "reshape_run", [(1,), (1, 1), "float32"]),
# float-int32:[128, 1024, 16, 128]-[3]=float:[128, 16384, 128]
("reshape_0025", "reshape_run", [(128, 1024, 16, 128), (128, 16384, 128), "float32"]),
("reshape_0026", "reshape_run", [(128, 16384, 128), (128, 1024, 16, 128), "float32"]),
# float-int32:[128, 1024, 16, 64]-[3]=float:[128, 16384, 64]
("reshape_0027", "reshape_run", [(128, 1024, 16, 64), (128, 16384, 64), "float32"]),
("reshape_0028", "reshape_run", [(128, 16384, 64), (128, 1024, 16, 64), "float32"]),
# float-int32:[128, 1024]-[2]=float:[128, 1024]
("reshape_0029", "reshape_run", [(128, 1024), (128, 1024), "float32"]),
# float-int32:[128, 1024]-[3]=float:[128, 1, 1024]
("reshape_0030", "reshape_run", [(128, 1024), (128, 1, 1024), "float32"]),
("reshape_0031", "reshape_run", [(128, 1, 1024), (128, 1024), "float32"]),
# float-int32:[128, 1, 16, 128]-[3]=float:[128, 16, 128]
("reshape_0032", "reshape_run", [(128, 1, 16, 128), (128, 16, 128), "float32"]),
("reshape_0033", "reshape_run", [(128, 16, 128), (128, 1, 16, 128), "float32"]),
# float-int32:[128, 1, 16, 64]-[3]=float:[128, 16, 64]
("reshape_0034", "reshape_run", [(128, 1, 16, 64), (128, 16, 64), "float32"]),
("reshape_0035", "reshape_run", [(128, 16, 64), (128, 1, 16, 64), "float32"]),
# float-int32:[128, 128, 1024]-[2]=float:[16384, 1024]
("reshape_0036", "reshape_run", [(128, 128, 1024), (16384, 1024), "float32"]),
("reshape_0037", "reshape_run", [(16384, 1024), (128, 128, 1024), "float32"]),
# float-int32:[128, 128, 128]-[3]=float:[128, 8, 16, 128]
("reshape_0038", "reshape_run", [(128, 128, 128), (128, 8, 16, 128), "float32"]),
("reshape_0039", "reshape_run", [(128, 8, 16, 128), (128, 128, 128), "float32"]),
# float-int32:[128, 128, 16, 128]-[3]=float:[128, 2048, 128]
("reshape_0040", "reshape_run", [(128, 128, 16, 128), (128, 2048, 128), "float32"]),
("reshape_0041", "reshape_run", [(128, 2048, 128), (128, 128, 16, 128), "float32"]),
# float-int32:[128, 128, 16, 64]-[2]=float:[16384, 1024]
("reshape_0042", "reshape_run", [(128, 128, 16, 64), (16384, 1024), "float32"]),
("reshape_0043", "reshape_run", [(16384, 1024), (128, 128, 16, 64), "float32"]),
# float-int32:[128, 128, 16, 64]-[3]=float:[128, 2048, 64]
("reshape_0044", "reshape_run", [(128, 128, 16, 64), (128, 2048, 64), "float32"]),
("reshape_0045", "reshape_run", [(128, 2048, 64), (128, 128, 16, 64), "float32"]),
# float-int32:[128, 128, 64]-[3]=float:[128, 8, 16, 64]
("reshape_0046", "reshape_run", [(128, 128, 64), (128, 8, 16, 64), "float32"]),
("reshape_0047", "reshape_run", [(128, 8, 16, 64), (128, 128, 64), "float32"]),
# float-int32:[128, 1]-[2]=float:[128]
("reshape_0048", "reshape_run", [(128, 1), (128,), "float32"]),
("reshape_0049", "reshape_run", [(128,), (128, 1), "float32"]),
# float-int32:[128, 16, 16, 128]-[3]=float:[128, 256, 128]
("reshape_0050", "reshape_run", [(128, 16, 16, 128), (128, 256, 128), "float32"]),
("reshape_0051", "reshape_run", [(128, 256, 128), (128, 16, 16, 128), "float32"]),
# float-int32:[128, 16, 16, 64]-[3]=float:[128, 256, 64]
("reshape_0052", "reshape_run", [(128, 16, 16, 64), (128, 256, 64), "float32"]),
("reshape_0053", "reshape_run", [(128, 256, 64), (128, 16, 16, 64), "float32"]),
# float-int32:[128, 2, 16, 128]-[3]=float:[128, 32, 128]
("reshape_0054", "reshape_run", [(128, 2, 16, 128), (128, 32, 128), "float32"]),
("reshape_0055", "reshape_run", [(128, 32, 128), (128, 2, 16, 128), "float32"]),
# float-int32:[128, 2, 16, 64]-[3]=float:[128, 32, 64]
("reshape_0056", "reshape_run", [(128, 2, 16, 64), (128, 32, 64), "float32"]),
("reshape_0057", "reshape_run", [(128, 32, 64), (128, 2, 16, 64), "float32"]),
# float-int32:[128, 256, 16, 128]-[3]=float:[128, 4096, 128]
("reshape_0058", "reshape_run", [(128, 256, 16, 128), (128, 4096, 128), "float32"]),
("reshape_0059", "reshape_run", [(128, 4096, 128), (128, 256, 16, 128), "float32"]),
# float-int32:[128, 256, 16, 64]-[3]=float:[128, 4096, 64]
("reshape_0060", "reshape_run", [(128, 256, 16, 64), (128, 4096, 64), "float32"]),
("reshape_0061", "reshape_run", [(128, 4096, 64), (128, 256, 16, 64), "float32"]),
# float-int32:[128, 32, 16, 128]-[3]=float:[128, 512, 128]
("reshape_0062", "reshape_run", [(128, 32, 16, 128), (128, 512, 128), "float32"]),
("reshape_0063", "reshape_run", [(128, 512, 128), (128, 32, 16, 128), "float32"]),
# float-int32:[128, 32, 16, 64]-[3]=float:[128, 512, 64]
("reshape_0064", "reshape_run", [(128, 32, 16, 64), (128, 512, 64), "float32"]),
("reshape_0065", "reshape_run", [(128, 512, 64), (128, 32, 16, 64), "float32"]),
# float-int32:[128, 4, 16, 128]-[3]=float:[128, 64, 128]
("reshape_0066", "reshape_run", [(128, 4, 16, 128), (128, 64, 128), "float32"]),
("reshape_0067", "reshape_run", [(128, 64, 128), (128, 4, 16, 128), "float32"]),
# float-int32:[128, 4, 16, 64]-[3]=float:[128, 64, 64]
("reshape_0068", "reshape_run", [(128, 4, 16, 64), (128, 64, 64), "float32"]),
("reshape_0069", "reshape_run", [(128, 64, 64), (128, 4, 16, 64), "float32"]),
# float-int32:[128, 512, 16, 128]-[3]=float:[128, 8192, 128]
("reshape_0070", "reshape_run", [(128, 512, 16, 128), (128, 8192, 128), "float32"]),
("reshape_0071", "reshape_run", [(128, 8192, 128), (128, 512, 16, 128), "float32"]),
# float-int32:[128, 512, 16, 64]-[3]=float:[128, 8192, 64]
("reshape_0072", "reshape_run", [(128, 512, 16, 64), (128, 8192, 64), "float32"]),
("reshape_0073", "reshape_run", [(128, 8192, 64), (128, 512, 16, 64), "float32"]),
# float-int32:[131072, 1024]-[2]=float:[131072, 1024]
("reshape_0074", "reshape_run", [(131072, 1024), (131072, 1024), "float32"]),
# float-int32:[160, 1]-[2]=float:[160]
("reshape_0075", "reshape_run", [(160, 1), (160,), "float32"]),
("reshape_0076", "reshape_run", [(160,), (160, 1), "float32"]),
# float-int32:[16, 1024]-[3]=float:[16, 1, 1024]
("reshape_0077", "reshape_run", [(16, 1024), (16, 1, 1024), "float32"]),
("reshape_0078", "reshape_run", [(16, 1, 1024), (16, 1024), "float32"]),
# float-int32:[16, 128, 1024]-[2]=float:[2048, 1024]
("reshape_0079", "reshape_run", [(16, 128, 1024), (2048, 1024), "float32"]),
("reshape_0080", "reshape_run", [(2048, 1024), (16, 128, 1024), "float32"]),
# float-int32:[16, 128, 16, 64]-[2]=float:[2048, 1024]
("reshape_0081", "reshape_run", [(16, 128, 16, 64), (2048, 1024), "float32"]),
("reshape_0082", "reshape_run", [(2048, 1024), (16, 128, 16, 64), "float32"]),
# float-int32:[16, 1]-[2]=float:[16]
("reshape_0083", "reshape_run", [(16, 1), (16,), "float32"]),
("reshape_0084", "reshape_run", [(16,), (16, 1), "float32"]),
# float-int32:[16384, 1024]-[2]=float:[16384, 1024]
("reshape_0085", "reshape_run", [(16384, 1024), (16384, 1024), "float32"]),
# float-int32:[20, 1]-[2]=float:[20]
("reshape_0086", "reshape_run", [(20, 1), (20,), "float32"]),
("reshape_0087", "reshape_run", [(20,), (20, 1), "float32"]),
# float-int32:[20480, 1]-[2]=float:[20480]
("reshape_0088", "reshape_run", [(20480, 1), (20480,), "float32"]),
("reshape_0089", "reshape_run", [(20480,), (20480, 1), "float32"]),
# float-int32:[2048, 1024]-[2]=float:[2048, 1024]
("reshape_0090", "reshape_run", [(2048, 1024), (2048, 1024), "float32"]),
# float-int32:[2, 1024]-[2]=float:[2, 1024]
("reshape_0091", "reshape_run", [(2, 1024), (2, 1024), "float32"]),
# float-int32:[2, 1024]-[3]=float:[2, 1, 1024]
("reshape_0092", "reshape_run", [(2, 1024), (2, 1, 1024), "float32"]),
("reshape_0093", "reshape_run", [(2, 1, 1024), (2, 1024), "float32"]),
# float-int32:[21128, 1024]-[2]=float:[21128, 1024]
("reshape_0094", "reshape_run", [(21128, 1024), (21128, 1024), "float32"]),
# float-int32:[2, 128, 1024]-[2]=float:[256, 1024]
("reshape_0095", "reshape_run", [(2, 128, 1024), (256, 1024), "float32"]),
("reshape_0096", "reshape_run", [(256, 1024), (2, 128, 1024), "float32"]),
# float-int32:[2, 128, 16, 64]-[2]=float:[256, 1024]
("reshape_0097", "reshape_run", [(2, 128, 16, 64), (256, 1024), "float32"]),
("reshape_0098", "reshape_run", [(256, 1024), (2, 128, 16, 64), "float32"]),
# float-int32:[2, 1]-[2]=float:[2]
("reshape_0099", "reshape_run", [(2, 1), (2,), "float32"]),
("reshape_0100", "reshape_run", [(2,), (2, 1), "float32"]),
# float-int32:[2560, 1]-[2]=float:[2560]
("reshape_0101", "reshape_run", [(2560, 1), (2560,), "float32"]),
("reshape_0102", "reshape_run", [(2560,), (2560, 1), "float32"]),
# float-int32:[256, 1024]-[2]=float:[256, 1024]
("reshape_0103", "reshape_run", [(256, 1024), (256, 1024), "float32"]),
# float-int32:[256, 1024]-[3]=float:[256, 1, 1024]
("reshape_0104", "reshape_run", [(256, 1024), (256, 1, 1024), "float32"]),
("reshape_0105", "reshape_run", [(256, 1, 1024), (256, 1024), "float32"]),
# float-int32:[256, 128, 1024]-[2]=float:[32768, 1024]
("reshape_0106", "reshape_run", [(256, 128, 1024), (32768, 1024), "float32"]),
("reshape_0107", "reshape_run", [(32768, 1024), (256, 128, 1024), "float32"]),
# float-int32:[256, 128, 16, 64]-[2]=float:[32768, 1024]
("reshape_0108", "reshape_run", [(256, 128, 16, 64), (32768, 1024), "float32"]),
("reshape_0109", "reshape_run", [(32768, 1024), (256, 128, 16, 64), "float32"]),
# float-int32:[256, 1]-[2]=float:[256]
("reshape_0110", "reshape_run", [(256, 1), (256,), "float32"]),
("reshape_0111", "reshape_run", [(256,), (256, 1), "float32"]),
# float-int32:[320, 1]-[2]=float:[320]
("reshape_0112", "reshape_run", [(320, 1), (320,), "float32"]),
("reshape_0113", "reshape_run", [(320,), (320, 1), "float32"]),
# float-int32:[32, 1024]-[3]=float:[32, 1, 1024]
("reshape_0114", "reshape_run", [(32, 1024), (32, 1, 1024), "float32"]),
("reshape_0115", "reshape_run", [(32, 1, 1024), (32, 1024), "float32"]),
# float-int32:[32, 128, 1024]-[2]=float:[4096, 1024]
("reshape_0116", "reshape_run", [(32, 128, 1024), (4096, 1024), "float32"]),
("reshape_0117", "reshape_run", [(4096, 1024), (32, 128, 1024), "float32"]),
# float-int32:[32, 128, 16, 64]-[2]=float:[4096, 1024]
("reshape_0118", "reshape_run", [(32, 128, 16, 64), (4096, 1024), "float32"]),
("reshape_0119", "reshape_run", [(4096, 1024), (32, 128, 16, 64), "float32"]),
# float-int32:[32, 1]-[2]=float:[32]
("reshape_0120", "reshape_run", [(32, 1), (32,), "float32"]),
("reshape_0121", "reshape_run", [(32,), (32, 1), "float32"]),
# float-int32:[32768, 1024]-[2]=float:[32768, 1024]
("reshape_0122", "reshape_run", [(32768, 1024), (32768, 1024), "float32"]),
# float-int32:[33, 64]-[2]=float:[33, 64]
("reshape_0123", "reshape_run", [(33, 64), (33, 64), "float32"]),
# float-int32:[40, 1]-[2]=float:[40]
("reshape_0124", "reshape_run", [(40, 1), (40,), "float32"]),
("reshape_0125", "reshape_run", [(40,), (40, 1), "float32"]),
# float-int32:[4096, 1024]-[2]=float:[4096, 1024]
("reshape_0126", "reshape_run", [(4096, 1024), (4096, 1024), "float32"]),
# float-int32:[4, 1024]-[3]=float:[4, 1, 1024]
("reshape_0127", "reshape_run", [(4, 1024), (4, 1, 1024), "float32"]),
("reshape_0128", "reshape_run", [(4, 1, 1024), (4, 1024), "float32"]),
# float-int32:[4, 128, 1024]-[2]=float:[512, 1024]
("reshape_0129", "reshape_run", [(4, 128, 1024), (512, 1024), "float32"]),
("reshape_0130", "reshape_run", [(512, 1024), (4, 128, 1024), "float32"]),
# float-int32:[4, 128, 16, 64]-[2]=float:[512, 1024]
("reshape_0131", "reshape_run", [(4, 128, 16, 64), (512, 1024), "float32"]),
("reshape_0132", "reshape_run", [(512, 1024), (4, 128, 16, 64), "float32"]),
# float-int32:[4, 1]-[2]=float:[4]
("reshape_0133", "reshape_run", [(4, 1), (4,), "float32"]),
("reshape_0134", "reshape_run", [(4,), (4, 1), "float32"]),
# float-int32:[5120, 1]-[2]=float:[5120]
("reshape_0135", "reshape_run", [(5120, 1), (5120,), "float32"]),
("reshape_0136", "reshape_run", [(5120,), (5120, 1), "float32"]),
# float-int32:[512, 1024]-[2]=float:[512, 1024]
("reshape_0137", "reshape_run", [(512, 1024), (512, 1024), "float32"]),
# float-int32:[512, 1024]-[3]=float:[512, 1, 1024]
("reshape_0138", "reshape_run", [(512, 1024), (512, 1, 1024), "float32"]),
("reshape_0139", "reshape_run", [(512, 1, 1024), (512, 1024), "float32"]),
# float-int32:[512, 128, 1024]-[2]=float:[65536, 1024]
("reshape_0140", "reshape_run", [(512, 128, 1024), (65536, 1024), "float32"]),
("reshape_0141", "reshape_run", [(65536, 1024), (512, 128, 1024), "float32"]),
# float-int32:[512, 128, 16, 64]-[2]=float:[65536, 1024]
("reshape_0142", "reshape_run", [(512, 128, 16, 64), (65536, 1024), "float32"]),
("reshape_0143", "reshape_run", [(65536, 1024), (512, 128, 16, 64), "float32"]),
# float-int32:[512, 1]-[2]=float:[512]
("reshape_0144", "reshape_run", [(512, 1), (512,), "float32"]),
("reshape_0145", "reshape_run", [(512,), (512, 1), "float32"]),
# float-int32:[640, 1]-[2]=float:[640]
("reshape_0146", "reshape_run", [(640, 1), (640,), "float32"]),
("reshape_0147", "reshape_run", [(640,), (640, 1), "float32"]),
# float-int32:[65536, 1024]-[2]=float:[65536, 1024]
("reshape_0148", "reshape_run", [(65536, 1024), (65536, 1024), "float32"]),
# float-int32:[80, 1]-[2]=float:[80]
("reshape_0149", "reshape_run", [(80, 1), (80,), "float32"]),
("reshape_0150", "reshape_run", [(80,), (80, 1), "float32"]),
# float-int32:[8, 1024]-[3]=float:[8, 1, 1024]
("reshape_0151", "reshape_run", [(8, 1024), (8, 1, 1024), "float32"]),
("reshape_0152", "reshape_run", [(8, 1, 1024), (8, 1024), "float32"]),
# float-int32:[8, 1]-[2]=float:[8]
("reshape_0153", "reshape_run", [(8, 1), (8,), "float32"]),
("reshape_0154", "reshape_run", [(8,), (8, 1), "float32"]),
# int32-int32:[1024, 1, 128]-[3]=int32:[1024, 128]
("reshape_0155", "reshape_run", [(1024, 1, 128), (1024, 128), "int32"]),
("reshape_0156", "reshape_run", [(1024, 128), (1024, 1, 128), "int32"]),
# int32-int32:[1024, 1]-[2]=int32:[1024]
("reshape_0157", "reshape_run", [(1024, 1), (1024,), "int32"]),
("reshape_0158", "reshape_run", [(1024,), (1024, 1), "int32"]),
# int32-int32:[1, 1, 128]-[3]=int32:[1, 128]
("reshape_0159", "reshape_run", [(1, 1, 128), (1, 128), "int32"]),
("reshape_0160", "reshape_run", [(1, 128), (1, 1, 128), "int32"]),
# int32-int32:[1, 1]-[2]=int32:[1]
("reshape_0161", "reshape_run", [(1, 1), (1,), "int32"]),
("reshape_0162", "reshape_run", [(1,), (1, 1), "int32"]),
# int32-int32:[128, 1, 128]-[3]=int32:[128, 128]
("reshape_0163", "reshape_run", [(128, 1, 128), (128, 128), "int32"]),
("reshape_0164", "reshape_run", [(128, 128), (128, 1, 128), "int32"]),
# int32-int32:[128, 128]-[2]=int32:[16384]
("reshape_0165", "reshape_run", [(128, 128), (16384,), "int32"]),
("reshape_0166", "reshape_run", [(16384,), (128, 128), "int32"]),
# int32-int32:[128, 1]-[2]=int32:[128]
("reshape_0167", "reshape_run", [(128, 1), (128,), "int32"]),
("reshape_0168", "reshape_run", [(128,), (128, 1), "int32"]),
# int32-int32:[16, 1, 128]-[3]=int32:[16, 128]
("reshape_0169", "reshape_run", [(16, 1, 128), (16, 128), "int32"]),
("reshape_0170", "reshape_run", [(16, 128), (16, 1, 128), "int32"]),
# int32-int32:[16, 1]-[2]=int32:[16]
("reshape_0171", "reshape_run", [(16, 1), (16,), "int32"]),
("reshape_0172", "reshape_run", [(16,), (16, 1), "int32"]),
# int32-int32:[2, 1, 128]-[3]=int32:[2, 128]
("reshape_0173", "reshape_run", [(2, 1, 128), (2, 128), "int32"]),
("reshape_0174", "reshape_run", [(2, 128), (2, 1, 128), "int32"]),
# int32-int32:[2, 1]-[2]=int32:[2]
("reshape_0175", "reshape_run", [(2, 1), (2,), "int32"]),
("reshape_0176", "reshape_run", [(2,), (2, 1), "int32"]),
# int32-int32:[256, 1, 128]-[3]=int32:[256, 128]
("reshape_0177", "reshape_run", [(256, 1, 128), (256, 128), "int32"]),
("reshape_0178", "reshape_run", [(256, 128), (256, 1, 128), "int32"]),
# int32-int32:[256, 1]-[2]=int32:[256]
("reshape_0179", "reshape_run", [(256, 1), (256,), "int32"]),
("reshape_0180", "reshape_run", [(256,), (256, 1), "int32"]),
# int32-int32:[32, 1, 128]-[3]=int32:[32, 128]
("reshape_0181", "reshape_run", [(32, 1, 128), (32, 128), "int32"]),
("reshape_0182", "reshape_run", [(32, 128), (32, 1, 128), "int32"]),
# int32-int32:[32, 1]-[2]=int32:[32]
("reshape_0183", "reshape_run", [(32, 1), (32,), "int32"]),
("reshape_0184", "reshape_run", [(32,), (32, 1), "int32"]),
# int32-int32:[4, 1, 128]-[3]=int32:[4, 128]
("reshape_0185", "reshape_run", [(4, 1, 128), (4, 128), "int32"]),
("reshape_0186", "reshape_run", [(4, 128), (4, 1, 128), "int32"]),
# int32-int32:[4, 1]-[2]=int32:[4]
("reshape_0187", "reshape_run", [(4, 1), (4,), "int32"]),
("reshape_0188", "reshape_run", [(4,), (4, 1), "int32"]),
# int32-int32:[512, 1, 128]-[3]=int32:[512, 128]
("reshape_0189", "reshape_run", [(512, 1, 128), (512, 128), "int32"]),
("reshape_0190", "reshape_run", [(512, 128), (512, 1, 128), "int32"]),
# int32-int32:[512, 1]-[2]=int32:[512]
("reshape_0191", "reshape_run", [(512, 1), (512,), "int32"]),
("reshape_0192", "reshape_run", [(512,), (512, 1), "int32"]),
# int32-int32:[8, 1, 128]-[3]=int32:[8, 128]
("reshape_0193", "reshape_run", [(8, 1, 128), (8, 128), "int32"]),
("reshape_0194", "reshape_run", [(8, 128), (8, 1, 128), "int32"]),
# int32-int32:[8, 1]-[2]=int32:[8]
("reshape_0195", "reshape_run", [(8, 1), (8,), "int32"]),
("reshape_0196", "reshape_run", [(8,), (8, 1), "int32"]),
# float-int32:[10240]-[]=float:[512, 20]
("reshape_0197", "reshape_run", [(10240,), (512, 20), "float32"]),
("reshape_0198", "reshape_run", [(512, 20), (10240,), "float32"]),
# float-int32:[1024, 20]-[]=float:[20480]
("reshape_0199", "reshape_run", [(1024, 20), (20480,), "float32"]),
("reshape_0200", "reshape_run", [(20480,), (1024, 20), "float32"]),
# float-int32:[1024]-[]=float:[1024]
("reshape_0201", "reshape_run", [(1024,), (1024,), "float32"]),
# float-int32:[1024]-[]=float:[1, 1024]
("reshape_0202", "reshape_run", [(1024,), (1, 1024), "float32"]),
("reshape_0203", "reshape_run", [(1, 1024), (1024,), "float32"]),
# float-int32:[1, 20]-[]=float:[20]
("reshape_0204", "reshape_run", [(1, 20), (20,), "float32"]),
("reshape_0205", "reshape_run", [(20,), (1, 20), "float32"]),
# float-int32:[1, 21128]-[]=float:[21128]
("reshape_0206", "reshape_run", [(1, 21128), (21128,), "float32"]),
("reshape_0207", "reshape_run", [(21128,), (1, 21128), "float32"]),
# float-int32:[128, 20]-[]=float:[2560]
("reshape_0208", "reshape_run", [(128, 20), (2560,), "float32"]),
("reshape_0209", "reshape_run", [(2560,), (128, 20), "float32"]),
# float-int32:[1, 2]-[]=float:[2]
("reshape_0210", "reshape_run", [(1, 2), (2,), "float32"]),
("reshape_0211", "reshape_run", [(2,), (1, 2), "float32"]),
# float-int32:[1, 4096]-[]=float:[4096]
("reshape_0212", "reshape_run", [(1, 4096), (4096,), "float32"]),
("reshape_0213", "reshape_run", [(4096,), (1, 4096), "float32"]),
# float-int32:[160]-[]=float:[8, 20]
("reshape_0214", "reshape_run", [(160,), (8, 20), "float32"]),
("reshape_0215", "reshape_run", [(8, 20), (160,), "float32"]),
# float-int32:[16, 20]-[]=float:[320]
("reshape_0216", "reshape_run", [(16, 20), (320,), "float32"]),
("reshape_0217", "reshape_run", [(320,), (16, 20), "float32"]),
# float-int32:[1]-[]=float:[1]
("reshape_0218", "reshape_run", [(1,), (1,), "float32"]),
# float-int32:[21128]-[]=float:[21128]
("reshape_0219", "reshape_run", [(21128,), (21128,), "float32"]),
# float-int32:[2, 20]-[]=float:[40]
("reshape_0220", "reshape_run", [(2, 20), (40,), "float32"]),
("reshape_0221", "reshape_run", [(40,), (2, 20), "float32"]),
# float-int32:[256, 20]-[]=float:[5120]
("reshape_0222", "reshape_run", [(256, 20), (5120,), "float32"]),
("reshape_0223", "reshape_run", [(5120,), (256, 20), "float32"]),
# float-int32:[2]-[]=float:[2]
("reshape_0224", "reshape_run", [(2,), (2,), "float32"]),
# float-int32:[32, 20]-[]=float:[640]
("reshape_0225", "reshape_run", [(32, 20), (640,), "float32"]),
("reshape_0226", "reshape_run", [(640,), (32, 20), "float32"]),
# float-int32:[4096]-[]=float:[4096]
("reshape_0227", "reshape_run", [(4096,), (4096,), "float32"]),
# float-int32:[4, 20]-[]=float:[80]
("reshape_0228", "reshape_run", [(4, 20), (80,), "float32"]),
("reshape_0229", "reshape_run", [(80,), (4, 20), "float32"]),
# int32-int32:[10240]-[]=int32:[512, 20]
("reshape_0230", "reshape_run", [(10240,), (512, 20), "int32"]),
("reshape_0231", "reshape_run", [(512, 20), (10240,), "int32"]),
# int32-int32:[1024, 128, 1]-[]=int32:[131072]
("reshape_0232", "reshape_run", [(1024, 128, 1), (131072,), "int32"]),
("reshape_0233", "reshape_run", [(131072,), (1024, 128, 1), "int32"]),
# int32-int32:[1024, 128]-[]=int32:[131072]
("reshape_0234", "reshape_run", [(1024, 128), (131072,), "int32"]),
("reshape_0235", "reshape_run", [(131072,), (1024, 128), "int32"]),
# int32-int32:[1024, 20]-[]=int32:[20480]
("reshape_0236", "reshape_run", [(1024, 20), (20480,), "int32"]),
("reshape_0237", "reshape_run", [(20480,), (1024, 20), "int32"]),
# int32-int32:[1024]-[]=int32:[8, 128]
("reshape_0238", "reshape_run", [(1024,), (8, 128), "int32"]),
("reshape_0239", "reshape_run", [(8, 128), (1024,), "int32"]),
# int32-int32:[1024]-[]=int32:[8, 128, 1]
("reshape_0240", "reshape_run", [(1024,), (8, 128, 1), "int32"]),
("reshape_0241", "reshape_run", [(8, 128, 1), (1024,), "int32"]),
# int32-int32:[1, 128, 1]-[]=int32:[128]
("reshape_0242", "reshape_run", [(1, 128, 1), (128,), "int32"]),
("reshape_0243", "reshape_run", [(128,), (1, 128, 1), "int32"]),
# int32-int32:[1, 128]-[]=int32:[128]
("reshape_0244", "reshape_run", [(1, 128), (128,), "int32"]),
("reshape_0245", "reshape_run", [(128,), (1, 128), "int32"]),
# int32-int32:[1, 20]-[]=int32:[20]
("reshape_0246", "reshape_run", [(1, 20), (20,), "int32"]),
("reshape_0247", "reshape_run", [(20,), (1, 20), "int32"]),
# int32-int32:[128, 128, 1]-[]=int32:[16384]
("reshape_0248", "reshape_run", [(128, 128, 1), (16384,), "int32"]),
("reshape_0249", "reshape_run", [(16384,), (128, 128, 1), "int32"]),
# int32-int32:[128, 20]-[]=int32:[2560]
("reshape_0250", "reshape_run", [(128, 20), (2560,), "int32"]),
("reshape_0251", "reshape_run", [(2560,), (128, 20), "int32"]),
# int32-int32:[160]-[]=int32:[8, 20]
("reshape_0252", "reshape_run", [(160,), (8, 20), "int32"]),
("reshape_0253", "reshape_run", [(8, 20), (160,), "int32"]),
# int32-int32:[16, 128, 1]-[]=int32:[2048]
("reshape_0254", "reshape_run", [(16, 128, 1), (2048,), "int32"]),
("reshape_0255", "reshape_run", [(2048,), (16, 128, 1), "int32"]),
# int32-int32:[16, 128]-[]=int32:[2048]
("reshape_0256", "reshape_run", [(16, 128), (2048,), "int32"]),
("reshape_0257", "reshape_run", [(2048,), (16, 128), "int32"]),
# int32-int32:[16, 20]-[]=int32:[320]
("reshape_0258", "reshape_run", [(16, 20), (320,), "int32"]),
("reshape_0259", "reshape_run", [(320,), (16, 20), "int32"]),
# int32-int32:[2, 128, 1]-[]=int32:[256]
("reshape_0260", "reshape_run", [(2, 128, 1), (256,), "int32"]),
("reshape_0261", "reshape_run", [(256,), (2, 128, 1), "int32"]),
# int32-int32:[2, 128]-[]=int32:[256]
("reshape_0262", "reshape_run", [(2, 128), (256,), "int32"]),
("reshape_0263", "reshape_run", [(256,), (2, 128), "int32"]),
# int32-int32:[2, 20]-[]=int32:[40]
("reshape_0264", "reshape_run", [(2, 20), (40,), "int32"]),
("reshape_0265", "reshape_run", [(40,), (2, 20), "int32"]),
# int32-int32:[256, 128, 1]-[]=int32:[32768]
("reshape_0266", "reshape_run", [(256, 128, 1), (32768,), "int32"]),
("reshape_0267", "reshape_run", [(32768,), (256, 128, 1), "int32"]),
# int32-int32:[256, 128]-[]=int32:[32768]
("reshape_0268", "reshape_run", [(256, 128), (32768,), "int32"]),
("reshape_0269", "reshape_run", [(32768,), (256, 128), "int32"]),
# int32-int32:[256, 20]-[]=int32:[5120]
("reshape_0270", "reshape_run", [(256, 20), (5120,), "int32"]),
("reshape_0271", "reshape_run", [(5120,), (256, 20), "int32"]),
# int32-int32:[32, 128, 1]-[]=int32:[4096]
("reshape_0272", "reshape_run", [(32, 128, 1), (4096,), "int32"]),
("reshape_0273", "reshape_run", [(4096,), (32, 128, 1), "int32"]),
# int32-int32:[32, 128]-[]=int32:[4096]
("reshape_0274", "reshape_run", [(32, 128), (4096,), "int32"]),
("reshape_0275", "reshape_run", [(4096,), (32, 128), "int32"]),
# int32-int32:[32, 20]-[]=int32:[640]
("reshape_0276", "reshape_run", [(32, 20), (640,), "int32"]),
("reshape_0277", "reshape_run", [(640,), (32, 20), "int32"]),
# int32-int32:[4, 128, 1]-[]=int32:[512]
("reshape_0278", "reshape_run", [(4, 128, 1), (512,), "int32"]),
("reshape_0279", "reshape_run", [(512,), (4, 128, 1), "int32"]),
# int32-int32:[4, 128]-[]=int32:[512]
("reshape_0280", "reshape_run", [(4, 128), (512,), "int32"]),
("reshape_0281", "reshape_run", [(512,), (4, 128), "int32"]),
# int32-int32:[4, 20]-[]=int32:[80]
("reshape_0282", "reshape_run", [(4, 20), (80,), "int32"]),
("reshape_0283", "reshape_run", [(80,), (4, 20), "int32"]),
# int32-int32:[512, 128, 1]-[]=int32:[65536]
("reshape_0284", "reshape_run", [(512, 128, 1), (65536,), "int32"]),
("reshape_0285", "reshape_run", [(65536,), (512, 128, 1), "int32"]),
# int32-int32:[512, 128]-[]=int32:[65536]
("reshape_0286", "reshape_run", [(512, 128), (65536,), "int32"]),
("reshape_0287", "reshape_run", [(65536,), (512, 128), "int32"]),
# softmax OP
# float:[1024, 16, 128, 128]=float:[1024, 16, 128, 128]
("softmax_001", "softmax_run", ((1024, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[1, 16, 128, 128]=float:[1, 16, 128, 128]
("softmax_002", "softmax_run", ((1, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[128, 16, 128, 128]=float:[128, 16, 128, 128]
("softmax_003", "softmax_run", ((128, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[16, 16, 128, 128]=float:[16, 16, 128, 128]
("softmax_004", "softmax_run", ((16, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[2, 16, 128, 128]=float:[2, 16, 128, 128]
("softmax_005", "softmax_run", ((2, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[256, 16, 128, 128]=float:[256, 16, 128, 128]
("softmax_006", "softmax_run", ((256, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[32, 16, 128, 128]=float:[32, 16, 128, 128]
("softmax_007", "softmax_run", ((32, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[4, 16, 128, 128]=float:[4, 16, 128, 128]
("softmax_008", "softmax_run", ((4, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[512, 16, 128, 128]=float:[512, 16, 128, 128]
("softmax_009", "softmax_run", ((512, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# float:[8, 16, 128, 128]=float:[8, 16, 128, 128]
("softmax_010", "softmax_run", ((8, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# pow OP
# float - float:[1280, 768] - [] = float:[1280, 768]
("pow_001", "pow_run", ((1280, 768), (1,), 'float32')),
# float - float:[] - [] = float:[]
("pow_002", "pow_run", ((1,), (1,), 'float32')),
# half - half:[8192, 3072] - [] = half:[8192, 3072]
("pow_003", "pow_run", ((8192, 3072), (8192, 3072), 'float16')),
# reciprocal OP
# float - float:[160, 1024] = float:[160, 1024]
("reciprocal_001", "reciprocal_run", ((160, 1024), 'float32'),),
# float - float:[] = float:[]
("reciprocal_002", "reciprocal_run", ((1,), 'float32'),),
# addn OP
# float-float:[64, 128, 1024]-[64, 128, 1024]=float:[64, 128, 1024]
("test_bert_addn_003_053", "addn_run", ((64, 128, 1024), "float32", 2)),
# float-float:[64, 16, 128, 128]-[64, 16, 128, 128]=float:[64, 16, 128, 128]
("test_bert_addn_003_054", "addn_run", ((64, 16, 128, 128), "float32", 2)),
# float-float:[64, 16, 128, 64]-[64, 16, 128, 64]=float:[64, 16, 128, 64]
("test_bert_addn_003_055", "addn_run", ((64, 16, 128, 64), "float32", 2)),
# float-float:[8192, 1024]-[8192, 1024]=float:[8192, 1024]
("test_bert_addn_003_056", "addn_run", ((8192, 1024), "float32", 2)),
# float-float-float:[8192, 1024]-[8192, 1024]-[8192, 1024]=float:[8192, 1024]
("test_bert_addn_003_057", "addn_run", ((8192, 1024), "float32", 3)),
# dropout OP
# float:[64, 128, 1024]=float:[64, 128, 1024]
("test_bert_dropout_003_031", "dropout_run", ((64, 128, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# float:[64, 16, 128, 128]=float:[64, 16, 128, 128]
("test_bert_dropout_003_032", "dropout_run", ((64, 16, 128, 128), 1.0, "float32", "cce_dropout_do_mask")),
# float:[8192, 1024]=float:[8192, 1024]
("test_bert_dropout_003_033", "dropout_run", ((8192, 1024), 1.0, "float32", "cce_dropout_do_mask")),
# gelu_grad OP
# float:[1280, 1024]=float:[1280, 1024]
("test_bert_gelu_grad_003_021", "gelu_grad_run", ((1280, 1024), "float32")),
# float:[8192, 4096]=float:[8192, 4096]
("test_bert_gelu_grad_003_022", "gelu_grad_run", ((8192, 4096), "float32")),
# gelu OP
# float:[1280, 1024]=float:[1280, 1024]
("test_bert_gelu_003_021", "gelu_run", ((1280, 1024), "float32")),
# float:[8192, 4096]=float:[8192, 4096]
("test_bert_gelu_003_022", "gelu_run", ((8192, 4096), "float32")),
# UnsortedSegmentSum OP
# float-int32-int32:[1280, 1024]-[1280]-[]=float:[8192, 1024]
("test_bert_unsortedsegmentsum_003_032", "unsortedsegmentsum_run", ([1280, 1024], [1280], 8192, "float32")),
# float-int32-int32:[8192, 1024]-[8192]-[]=float:[2, 1024]
("test_bert_unsortedsegmentsum_003_033", "unsortedsegmentsum_run", ([8192, 1024], [8192], 2, "float32")),
# float-int32-int32:[8192, 1024]-[8192]-[]=float:[21128, 1024]
("test_bert_unsortedsegmentsum_003_0034", "unsortedsegmentsum_run",
([8192, 1024], [8192], 21128, "float32")),
# MatMul OP
# float-float:[1280, 1024]-[1024, 1024]=float:[1280, 1024]
("test_bert_batch_matmul_003_146", "batchmatmul_run",
((), 1280, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[1280, 1024]-[21128, 1024]=float:[1280, 21128]
("test_bert_batch_matmul_003_147", "batchmatmul_run",
((), 1280, 21128, 1024, (), "float32", False, True, "batch_matmul_output")),
# float-float:[1280, 21128]-[1280, 1024]=float:[21128, 1024]
("test_bert_batch_matmul_003_148", "batchmatmul_run",
((), 21128, 1024, 1280, (), "float32", True, False, "batch_matmul_output")),
# float-float:[1280, 21128]-[21128, 1024]=float:[1280, 1024]
("test_bert_batch_matmul_003_149", "batchmatmul_run",
((), 1280, 1024, 21128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 1024, 128]-[128, 1024, 64]=float:[128, 128, 64]
("test_bert_batch_matmul_003_150", "batchmatmul_run",
((128,), 128, 64, 1024, (), "float32", True, False, "batch_matmul_output")),
# float-float:[128, 1024, 128]-[128, 128, 64]=float:[128, 1024, 64]
("test_bert_batch_matmul_003_151", "batchmatmul_run",
((128,), 1024, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 1024, 64]-[128, 128, 64]=float:[128, 1024, 128]
("test_bert_batch_matmul_003_152", "batchmatmul_run",
((128,), 1024, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[64, 1024]-[1024, 1024]=float:[64, 1024]
("test_bert_batch_matmul_003_153", "batchmatmul_run",
((), 64, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[64, 16, 128, 128]-[64, 16, 128, 64]=float:[64, 16, 128, 64]
("test_bert_batch_matmul_003_154", "batchmatmul_run",
((64, 16), 128, 64, 128, (), "float32", False, False, "batch_matmul_output")),
# float-float:[64, 16, 128, 64]-[64, 16, 128, 64]=float:[64, 16, 128, 128]
("test_bert_batch_matmul_003_155", "batchmatmul_run",
((64, 16), 128, 128, 64, (), "float32", False, True, "batch_matmul_output")),
# float-float:[64, 2]-[2, 1024]=float:[64, 1024]
("test_bert_batch_matmul_003_156", "batchmatmul_run",
((), 64, 1024, 2, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8192, 1024]-[1024, 1024]=float:[8192, 1024]
("test_bert_batch_matmul_003_157", "batchmatmul_run",
((), 8192, 1024, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8192, 1024]-[1024, 4096]=float:[8192, 4096]
("test_bert_batch_matmul_003_158", "batchmatmul_run",
((), 8192, 4096, 1024, (), "float32", False, False, "batch_matmul_output")),
# float-float:[8192, 4096]-[4096, 1024]=float:[8192, 1024]
("test_bert_batch_matmul_003_159", "batchmatmul_run",
((), 8192, 1024, 4096, (), "float32", False, False, "batch_matmul_output")),
# LayerNormGrad OP
# float:[1280, 1024]=float:[1280, 1024]
("test_bert_layer_norm_grad_003_031", "fused_layer_norm_grad_run", ((1280, 1024), -1, -1, "float32")),
# float:[64, 128, 1024]=float:[64, 128, 1024]
("test_bert_layer_norm_grad_003_032", "fused_layer_norm_grad_run", ((64, 128, 1024), -1, -1, "float32")),
# float:[8192, 1024]=float:[8192, 1024]
("test_bert_layer_norm_grad_003_033", "fused_layer_norm_grad_run", ((8192, 1024), -1, -1, "float32")),
# LayerNorm OP
# float:[1280, 1024]=float:[1280, 1024]
("test_bert_layernorm_003_031", "fused_layernorm_run", ((1280, 1024), -1, -1, "float32")),
# float:[64, 128, 1024]=float:[64, 128, 1024]
("test_bert_layernorm_003_032", "fused_layernorm_run", ((64, 128, 1024), -1, -1, "float32")),
# float:[8192, 1024]=float:[8192, 1024]
("test_bert_layernorm_003_033", "fused_layernorm_run", ((8192, 1024), -1, -1, "float32")),
# Reshape OP
# float-int32:[1024, 128, 12, 64]-[4]=float:[131072, 768]
("test_bert_reshape_003_0288", "reshape_run", [(1024, 128, 12, 64), (131072, 768), "float32"]),
# float-int32:[1024, 128, 768]-[3]=float:[131072, 768]
("test_bert_reshape_003_0289", "reshape_run", [(1024, 128, 768), (131072, 768), "float32"]),
# float-int32:[1024, 1, 768]-[3]=float:[1024, 768]
("test_bert_reshape_003_0290", "reshape_run", [(1024, 1, 768), (1024, 768), "float32"]),
# float-int32:[1024, 768]-[2]=float:[8, 128, 12, 64]
("test_bert_reshape_003_0291", "reshape_run", [(1024, 768), (8, 128, 12, 64), "float32"]),
# float-int32:[1024, 768]-[2]=float:[8, 128, 768]
("test_bert_reshape_003_0292", "reshape_run", [(1024, 768), (8, 128, 768), "float32"]),
# float-int32:[1, 128, 12, 64]-[4]=float:[128, 768]
("test_bert_reshape_003_0293", "reshape_run", [(1, 128, 12, 64), (128, 768), "float32"]),
# float-int32:[1, 128, 768]-[3]=float:[128, 768]
("test_bert_reshape_003_0294", "reshape_run", [(1, 128, 768), (128, 768), "float32"]),
# float-int32:[1, 1, 768]-[3]=float:[1, 768]
("test_bert_reshape_003_0295", "reshape_run", [(1, 1, 768), (1, 768), "float32"]),
# float-int32:[1280, 1]-[2]=float:[1280]
("test_bert_reshape_003_0296", "reshape_run", [(1280, 1), (1280,), "float32"]),
# float-int32:[128, 1024, 12, 128]-[4]=float:[128, 12288, 128]
("test_bert_reshape_003_0297", "reshape_run", [(128, 1024, 12, 128), (128, 12288, 128), "float32"]),
# float-int32:[128, 1024, 12, 64]-[4]=float:[128, 12288, 64]
("test_bert_reshape_003_0298", "reshape_run", [(128, 1024, 12, 64), (128, 12288, 64), "float32"]),
# float-int32:[128, 1024, 128]-[3]=float:[128, 64, 16, 128]
("test_bert_reshape_003_0299", "reshape_run", [(128, 1024, 128), (128, 64, 16, 128), "float32"]),
# float-int32:[128, 1024, 128]-[4]=float:[128, 64, 16, 128]
("test_bert_reshape_003_0300", "reshape_run", [(128, 1024, 128), (128, 64, 16, 128), "float32"]),
# float-int32:[128, 1024, 64]-[3]=float:[128, 64, 16, 64]
("test_bert_reshape_003_0301", "reshape_run", [(128, 1024, 64), (128, 64, 16, 64), "float32"]),
# float-int32:[128, 1024, 64]-[4]=float:[128, 64, 16, 64]
("test_bert_reshape_003_0302", "reshape_run", [(128, 1024, 64), (128, 64, 16, 64), "float32"]),
# float-int32:[128, 1, 12, 128]-[4]=float:[128, 12, 128]
("test_bert_reshape_003_0303", "reshape_run", [(128, 1, 12, 128), (128, 12, 128), "float32"]),
# float-int32:[128, 1, 12, 64]-[4]=float:[128, 12, 64]
("test_bert_reshape_003_0304", "reshape_run", [(128, 1, 12, 64), (128, 12, 64), "float32"]),
# float-int32:[128, 12, 128]-[3]=float:[128, 1, 12, 128]
("test_bert_reshape_003_0305", "reshape_run", [(128, 12, 128), (128, 1, 12, 128), "float32"]),
# float-int32:[128, 12288, 128]-[3]=float:[128, 1024, 12, 128]
("test_bert_reshape_003_0306", "reshape_run", [(128, 12288, 128), (128, 1024, 12, 128), "float32"]),
# float-int32:[128, 12288, 64]-[3]=float:[128, 1024, 12, 64]
("test_bert_reshape_003_0307", "reshape_run", [(128, 12288, 64), (128, 1024, 12, 64), "float32"]),
# float-int32:[128, 12, 64]-[3]=float:[128, 1, 12, 64]
("test_bert_reshape_003_0308", "reshape_run", [(128, 12, 64), (128, 1, 12, 64), "float32"]),
# float-int32:[128, 128, 12, 128]-[4]=float:[128, 1536, 128]
("test_bert_reshape_003_0309", "reshape_run", [(128, 128, 12, 128), (128, 1536, 128), "float32"]),
# float-int32:[128, 128, 12, 64]-[4]=float:[128, 1536, 64]
("test_bert_reshape_003_0310", "reshape_run", [(128, 128, 12, 64), (128, 1536, 64), "float32"]),
# float-int32:[128, 128, 12, 64]-[4]=float:[16384, 768]
("test_bert_reshape_003_0311", "reshape_run", [(128, 128, 12, 64), (16384, 768), "float32"]),
# float-int32:[128, 128, 768]-[3]=float:[16384, 768]
("test_bert_reshape_003_0312", "reshape_run", [(128, 128, 768), (16384, 768), "float32"]),
# float-int32:[128, 1536, 128]-[3]=float:[128, 128, 12, 128]
("test_bert_reshape_003_0313", "reshape_run", [(128, 1536, 128), (128, 128, 12, 128), "float32"]),
# float-int32:[128, 1536, 64]-[3]=float:[128, 128, 12, 64]
("test_bert_reshape_003_0314", "reshape_run", [(128, 1536, 64), (128, 128, 12, 64), "float32"]),
# float-int32:[128, 16, 12, 128]-[4]=float:[128, 192, 128]
("test_bert_reshape_003_0315", "reshape_run", [(128, 16, 12, 128), (128, 192, 128), "float32"]),
# float-int32:[128, 16, 12, 64]-[4]=float:[128, 192, 64]
("test_bert_reshape_003_0316", "reshape_run", [(128, 16, 12, 64), (128, 192, 64), "float32"]),
# float-int32:[128, 1, 768]-[3]=float:[128, 768]
("test_bert_reshape_003_0317", "reshape_run", [(128, 1, 768), (128, 768), "float32"]),
# float-int32:[128, 192, 128]-[3]=float:[128, 16, 12, 128]
("test_bert_reshape_003_0318", "reshape_run", [(128, 192, 128), (128, 16, 12, 128), "float32"]),
# float-int32:[128, 192, 64]-[3]=float:[128, 16, 12, 64]
("test_bert_reshape_003_0319", "reshape_run", [(128, 192, 64), (128, 16, 12, 64), "float32"]),
# float-int32:[128, 2, 12, 128]-[4]=float:[128, 24, 128]
("test_bert_reshape_003_0320", "reshape_run", [(128, 2, 12, 128), (128, 24, 128), "float32"]),
# float-int32:[128, 2, 12, 64]-[4]=float:[128, 24, 64]
("test_bert_reshape_003_0321", "reshape_run", [(128, 2, 12, 64), (128, 24, 64), "float32"]),
# float-int32:[128, 24, 128]-[3]=float:[128, 2, 12, 128]
("test_bert_reshape_003_0322", "reshape_run", [(128, 24, 128), (128, 2, 12, 128), "float32"]),
# float-int32:[128, 24, 64]-[3]=float:[128, 2, 12, 64]
("test_bert_reshape_003_0323", "reshape_run", [(128, 24, 64), (128, 2, 12, 64), "float32"]),
# float-int32:[128, 256, 12, 128]-[4]=float:[128, 3072, 128]
("test_bert_reshape_003_0324", "reshape_run", [(128, 256, 12, 128), (128, 3072, 128), "float32"]),
# float-int32:[128, 256, 12, 64]-[4]=float:[128, 3072, 64]
("test_bert_reshape_003_0325", "reshape_run", [(128, 256, 12, 64), (128, 3072, 64), "float32"]),
# float-int32:[128, 3072, 128]-[3]=float:[128, 256, 12, 128]
("test_bert_reshape_003_0326", "reshape_run", [(128, 3072, 128), (128, 256, 12, 128), "float32"]),
# float-int32:[128, 3072, 64]-[3]=float:[128, 256, 12, 64]
("test_bert_reshape_003_0327", "reshape_run", [(128, 3072, 64), (128, 256, 12, 64), "float32"]),
# float-int32:[128, 32, 12, 128]-[4]=float:[128, 384, 128]
("test_bert_reshape_003_0328", "reshape_run", [(128, 32, 12, 128), (128, 384, 128), "float32"]),
# float-int32:[128, 32, 12, 64]-[4]=float:[128, 384, 64]
("test_bert_reshape_003_0329", "reshape_run", [(128, 32, 12, 64), (128, 384, 64), "float32"]),
# float-int32:[128, 384, 128]-[3]=float:[128, 32, 12, 128]
("test_bert_reshape_003_0330", "reshape_run", [(128, 384, 128), (128, 32, 12, 128), "float32"]),
# float-int32:[128, 384, 64]-[3]=float:[128, 32, 12, 64]
("test_bert_reshape_003_0331", "reshape_run", [(128, 384, 64), (128, 32, 12, 64), "float32"]),
# float-int32:[128, 4, 12, 128]-[4]=float:[128, 48, 128]
("test_bert_reshape_003_0332", "reshape_run", [(128, 4, 12, 128), (128, 48, 128), "float32"]),
# float-int32:[128, 4, 12, 64]-[4]=float:[128, 48, 64]
("test_bert_reshape_003_0333", "reshape_run", [(128, 4, 12, 64), (128, 48, 64), "float32"]),
# float-int32:[128, 48, 128]-[3]=float:[128, 4, 12, 128]
("test_bert_reshape_003_0334", "reshape_run", [(128, 48, 128), (128, 4, 12, 128), "float32"]),
# float-int32:[128, 48, 64]-[3]=float:[128, 4, 12, 64]
("test_bert_reshape_003_0335", "reshape_run", [(128, 48, 64), (128, 4, 12, 64), "float32"]),
# float-int32:[128, 512, 12, 128]-[4]=float:[128, 6144, 128]
("test_bert_reshape_003_0336", "reshape_run", [(128, 512, 12, 128), (128, 6144, 128), "float32"]),
# float-int32:[128, 512, 12, 64]-[4]=float:[128, 6144, 64]
("test_bert_reshape_003_0337", "reshape_run", [(128, 512, 12, 64), (128, 6144, 64), "float32"]),
# float-int32:[128, 6144, 128]-[3]=float:[128, 512, 12, 128]
("test_bert_reshape_003_0338", "reshape_run", [(128, 6144, 128), (128, 512, 12, 128), "float32"]),
# float-int32:[128, 6144, 64]-[3]=float:[128, 512, 12, 64]
("test_bert_reshape_003_0339", "reshape_run", [(128, 6144, 64), (128, 512, 12, 64), "float32"]),
# float-int32:[128, 64, 12, 128]-[4]=float:[128, 768, 128]
("test_bert_reshape_003_0340", "reshape_run", [(128, 64, 12, 128), (128, 768, 128), "float32"]),
# float-int32:[128, 64, 12, 64]-[4]=float:[128, 768, 64]
("test_bert_reshape_003_0341", "reshape_run", [(128, 64, 12, 64), (128, 768, 64), "float32"]),
# float-int32:[128, 64, 16, 128]-[3]=float:[128, 1024, 128]
("test_bert_reshape_003_0342", "reshape_run", [(128, 64, 16, 128), (128, 1024, 128), "float32"]),
# float-int32:[128, 64, 16, 128]-[4]=float:[128, 1024, 128]
("test_bert_reshape_003_0343", "reshape_run", [(128, 64, 16, 128), (128, 1024, 128), "float32"]),
# float-int32:[128, 64, 16, 64]-[3]=float:[128, 1024, 64]
("test_bert_reshape_003_0344", "reshape_run", [(128, 64, 16, 64), (128, 1024, 64), "float32"]),
# float-int32:[128, 64, 16, 64]-[4]=float:[128, 1024, 64]
("test_bert_reshape_003_0345", "reshape_run", [(128, 64, 16, 64), (128, 1024, 64), "float32"]),
# float-int32:[128, 768, 128]-[3]=float:[128, 64, 12, 128]
("test_bert_reshape_003_0346", "reshape_run", [(128, 768, 128), (128, 64, 12, 128), "float32"]),
# float-int32:[128, 768]-[2]=float:[1, 128, 12, 64]
("test_bert_reshape_003_0347", "reshape_run", [(128, 768), (1, 128, 12, 64), "float32"]),
# float-int32:[128, 768]-[2]=float:[1, 128, 768]
("test_bert_reshape_003_0348", "reshape_run", [(128, 768), (1, 128, 768), "float32"]),
# float-int32:[128, 768, 64]-[3]=float:[128, 64, 12, 64]
("test_bert_reshape_003_0349", "reshape_run", [(128, 768, 64), (128, 64, 12, 64), "float32"]),
# float-int32:[128, 8, 12, 128]-[4]=float:[128, 96, 128]
("test_bert_reshape_003_0350", "reshape_run", [(128, 8, 12, 128), (128, 96, 128), "float32"]),
# float-int32:[128, 8, 12, 64]-[4]=float:[128, 96, 64]
("test_bert_reshape_003_0351", "reshape_run", [(128, 8, 12, 64), (128, 96, 64), "float32"]),
# float-int32:[128, 96, 128]-[3]=float:[128, 8, 12, 128]
("test_bert_reshape_003_0352", "reshape_run", [(128, 96, 128), (128, 8, 12, 128), "float32"]),
# float-int32:[128, 96, 64]-[3]=float:[128, 8, 12, 64]
("test_bert_reshape_003_0353", "reshape_run", [(128, 96, 64), (128, 8, 12, 64), "float32"]),
# float-int32:[131072, 768]-[2]=float:[1024, 128, 12, 64]
("test_bert_reshape_003_0354", "reshape_run", [(131072, 768), (1024, 128, 12, 64), "float32"]),
# float-int32:[131072, 768]-[2]=float:[1024, 128, 768]
("test_bert_reshape_003_0355", "reshape_run", [(131072, 768), (1024, 128, 768), "float32"]),
# float-int32:[16, 128, 12, 64]-[4]=float:[2048, 768]
("test_bert_reshape_003_0356", "reshape_run", [(16, 128, 12, 64), (2048, 768), "float32"]),
# float-int32:[16, 128, 768]-[3]=float:[2048, 768]
("test_bert_reshape_003_0357", "reshape_run", [(16, 128, 768), (2048, 768), "float32"]),
# float-int32:[16, 1, 768]-[3]=float:[16, 768]
("test_bert_reshape_003_0358", "reshape_run", [(16, 1, 768), (16, 768), "float32"]),
# float-int32:[16384, 768]-[2]=float:[128, 128, 12, 64]
("test_bert_reshape_003_0359", "reshape_run", [(16384, 768), (128, 128, 12, 64), "float32"]),
# float-int32:[16384, 768]-[2]=float:[128, 128, 768]
("test_bert_reshape_003_0360", "reshape_run", [(16384, 768), (128, 128, 768), "float32"]),
# float-int32:[2048, 768]-[2]=float:[16, 128, 12, 64]
("test_bert_reshape_003_0361", "reshape_run", [(2048, 768), (16, 128, 12, 64), "float32"]),
# float-int32:[2048, 768]-[2]=float:[16, 128, 768]
("test_bert_reshape_003_0362", "reshape_run", [(2048, 768), (16, 128, 768), "float32"]),
# float-int32:[2, 128, 12, 64]-[4]=float:[256, 768]
("test_bert_reshape_003_0363", "reshape_run", [(2, 128, 12, 64), (256, 768), "float32"]),
# float-int32:[2, 128, 768]-[3]=float:[256, 768]
("test_bert_reshape_003_0364", "reshape_run", [(2, 128, 768), (256, 768), "float32"]),
# float-int32:[2, 1, 768]-[3]=float:[2, 768]
("test_bert_reshape_003_0365", "reshape_run", [(2, 1, 768), (2, 768), "float32"]),
# float-int32:[256, 128, 12, 64]-[4]=float:[32768, 768]
("test_bert_reshape_003_0366", "reshape_run", [(256, 128, 12, 64), (32768, 768), "float32"]),
# float-int32:[256, 128, 768]-[3]=float:[32768, 768]
("test_bert_reshape_003_0367", "reshape_run", [(256, 128, 768), (32768, 768), "float32"]),
# float-int32:[256, 1, 768]-[3]=float:[256, 768]
("test_bert_reshape_003_0368", "reshape_run", [(256, 1, 768), (256, 768), "float32"]),
# float-int32:[256, 768]-[2]=float:[2, 128, 12, 64]
("test_bert_reshape_003_0369", "reshape_run", [(256, 768), (2, 128, 12, 64), "float32"]),
# float-int32:[256, 768]-[2]=float:[2, 128, 768]
("test_bert_reshape_003_0370", "reshape_run", [(256, 768), (2, 128, 768), "float32"]),
# float-int32:[32, 128, 12, 64]-[4]=float:[4096, 768]
("test_bert_reshape_003_0371", "reshape_run", [(32, 128, 12, 64), (4096, 768), "float32"]),
# float-int32:[32, 128, 768]-[3]=float:[4096, 768]
("test_bert_reshape_003_0372", "reshape_run", [(32, 128, 768), (4096, 768), "float32"]),
# float-int32:[32, 1, 768]-[3]=float:[32, 768]
("test_bert_reshape_003_0373", "reshape_run", [(32, 1, 768), (32, 768), "float32"]),
# float-int32:[32768, 768]-[2]=float:[256, 128, 12, 64]
("test_bert_reshape_003_0374", "reshape_run", [(32768, 768), (256, 128, 12, 64), "float32"]),
# float-int32:[32768, 768]-[2]=float:[256, 128, 768]
("test_bert_reshape_003_0375", "reshape_run", [(32768, 768), (256, 128, 768), "float32"]),
# float-int32:[4096, 768]-[2]=float:[32, 128, 12, 64]
("test_bert_reshape_003_0376", "reshape_run", [(4096, 768), (32, 128, 12, 64), "float32"]),
# float-int32:[4096, 768]-[2]=float:[32, 128, 768]
("test_bert_reshape_003_0377", "reshape_run", [(4096, 768), (32, 128, 768), "float32"]),
# float-int32:[4, 128, 12, 64]-[4]=float:[512, 768]
("test_bert_reshape_003_0378", "reshape_run", [(4, 128, 12, 64), (512, 768), "float32"]),
# float-int32:[4, 128, 768]-[3]=float:[512, 768]
("test_bert_reshape_003_0379", "reshape_run", [(4, 128, 768), (512, 768), "float32"]),
# float-int32:[4, 1, 768]-[3]=float:[4, 768]
("test_bert_reshape_003_0380", "reshape_run", [(4, 1, 768), (4, 768), "float32"]),
# float-int32:[512, 128, 12, 64]-[4]=float:[65536, 768]
("test_bert_reshape_003_0381", "reshape_run", [(512, 128, 12, 64), (65536, 768), "float32"]),
# float-int32:[512, 128, 768]-[3]=float:[65536, 768]
("test_bert_reshape_003_0382", "reshape_run", [(512, 128, 768), (65536, 768), "float32"]),
# float-int32:[512, 1, 768]-[3]=float:[512, 768]
("test_bert_reshape_003_0383", "reshape_run", [(512, 1, 768), (512, 768), "float32"]),
# float-int32:[512, 768]-[2]=float:[4, 128, 12, 64]
("test_bert_reshape_003_0384", "reshape_run", [(512, 768), (4, 128, 12, 64), "float32"]),
# float-int32:[512, 768]-[2]=float:[4, 128, 768]
("test_bert_reshape_003_0385", "reshape_run", [(512, 768), (4, 128, 768), "float32"]),
# float-int32:[64, 1024]-[3]=float:[64, 1, 1024]
("test_bert_reshape_003_0386", "reshape_run", [(64, 1024), (64, 1, 1024), "float32"]),
# float-int32:[64, 1, 1024]-[3]=float:[64, 1024]
("test_bert_reshape_003_0387", "reshape_run", [(64, 1, 1024), (64, 1024), "float32"]),
# float-int32:[64, 128, 1024]-[2]=float:[8192, 1024]
("test_bert_reshape_003_0388", "reshape_run", [(64, 128, 1024), (8192, 1024), "float32"]),
# float-int32:[64, 128, 1024]-[3]=float:[8192, 1024]
("test_bert_reshape_003_0389", "reshape_run", [(64, 128, 1024), (8192, 1024), "float32"]),
# float-int32:[64, 128, 12, 64]-[4]=float:[8192, 768]
("test_bert_reshape_003_0390", "reshape_run", [(64, 128, 12, 64), (8192, 768), "float32"]),
# float-int32:[64, 128, 16, 64]-[2]=float:[8192, 1024]
("test_bert_reshape_003_0391", "reshape_run", [(64, 128, 16, 64), (8192, 1024), "float32"]),
# float-int32:[64, 128, 16, 64]-[4]=float:[8192, 1024]
("test_bert_reshape_003_0392", "reshape_run", [(64, 128, 16, 64), (8192, 1024), "float32"]),
# float-int32:[64, 128, 768]-[3]=float:[8192, 768]
("test_bert_reshape_003_0393", "reshape_run", [(64, 128, 768), (8192, 768), "float32"]),
# float-int32:[64, 1, 768]-[3]=float:[64, 768]
("test_bert_reshape_003_0394", "reshape_run", [(64, 1, 768), (64, 768), "float32"]),
# float-int32:[65536, 768]-[2]=float:[512, 128, 12, 64]
("test_bert_reshape_003_0395", "reshape_run", [(65536, 768), (512, 128, 12, 64), "float32"]),
# float-int32:[65536, 768]-[2]=float:[512, 128, 768]
("test_bert_reshape_003_0396", "reshape_run", [(65536, 768), (512, 128, 768), "float32"]),
# float-int32:[8, 128, 12, 64]-[4]=float:[1024, 768]
("test_bert_reshape_003_0397", "reshape_run", [(8, 128, 12, 64), (1024, 768), "float32"]),
# float-int32:[8, 128, 768]-[3]=float:[1024, 768]
("test_bert_reshape_003_0398", "reshape_run", [(8, 128, 768), (1024, 768), "float32"]),
# float-int32:[8, 1, 768]-[3]=float:[8, 768]
("test_bert_reshape_003_0399", "reshape_run", [(8, 1, 768), (8, 768), "float32"]),
# float-int32:[8192, 1024]-[2]=float:[64, 128, 1024]
("test_bert_reshape_003_0400", "reshape_run", [(8192, 1024), (64, 128, 1024), "float32"]),
# float-int32:[8192, 1024]-[2]=float:[64, 128, 16, 64]
("test_bert_reshape_003_0401", "reshape_run", [(8192, 1024), (64, 128, 16, 64), "float32"]),
# float-int32:[8192, 1024]-[2]=float:[8192, 1024]
("test_bert_reshape_003_0402", "reshape_run", [(8192, 1024), (8192, 1024), "float32"]),
# float-int32:[8192, 1024]-[3]=float:[64, 128, 1024]
("test_bert_reshape_003_0403", "reshape_run", [(8192, 1024), (64, 128, 1024), "float32"]),
# float-int32:[8192, 1024]-[4]=float:[64, 128, 16, 64]
("test_bert_reshape_003_0404", "reshape_run", [(8192, 1024), (64, 128, 16, 64), "float32"]),
# float-int32:[8192, 768]-[2]=float:[64, 128, 12, 64]
("test_bert_reshape_003_0405", "reshape_run", [(8192, 768), (64, 128, 12, 64), "float32"]),
# float-int32:[8192, 768]-[2]=float:[64, 128, 768]
("test_bert_reshape_003_0406", "reshape_run", [(8192, 768), (64, 128, 768), "float32"]),
# Softmax OP
# float:[64, 16, 128, 128]=float:[64, 16, 128, 128]
("test_bert_softmax_003_011", "softmax_run", ((64, 16, 128, 128), "float32", -1, "cce_softmax_fp32")),
# StridedSlice OP
# float-int32-int32-int32:[64, 128, 1024]-[3]-[3]-[3]=float:[64, 1, 1024]
("test_bert_strided_slice_003_012", "strided_slice_run",
((64, 128, 1024), [0, 0, 0], [64, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, "float32")),
# StridedSliceGrad OP
# float-int32-int32-int32-int32:[64, 1, 1024]-[3]-[3]-[3]-[3]=float:[64, 128, 1024]
("test_bert_strided_slice_grad_003_011", "strided_slice_grad_run",
[(64, 128, 1024), [0, 0, 0], [64, 1, 1024], [1, 1, 1], 0, 0, 0, 0, 0, (64, 1, 1024), "int32"]),
# Sub OP
# float-float:[64, 16, 128, 128]-[64, 16, 128, 1]=float:[64, 16, 128, 128]
("test_bert_sub_003_033", "sub_run", [(64, 16, 128, 128,), (64, 16, 128, 1), "float32"]),
# Sum OP
# float-int32:[10240, 21128]-[-1]=float:[10240]
("test_bert_sum_003_0041", "sum_run", ((10240, 21128), (-1,), False, "float32")),
# float-int32:[1024, 2]-[-1]=float:[1024]
("test_bert_sum_003_0042", "sum_run", ((1024, 2), (-1,), False, "float32")),
# float-int32:[1, 2]-[-1]=float:[1]
("test_bert_sum_003_0043", "sum_run", ((1, 2), (-1,), False, "float32")),
# float-int32:[1280, 21128]-[-1]=float:[1280]
("test_bert_sum_003_0044", "sum_run", ((1280, 21128), (-1,), False, "float32")),
# float-int32:[128, 2]-[-1]=float:[128]
("test_bert_sum_003_0045", "sum_run", ((128, 2), (-1,), False, "float32")),
# float-int32:[160, 21128]-[-1]=float:[160]
("test_bert_sum_003_0046", "sum_run", ((160, 21128), (-1,), False, "float32")),
# float-int32:[16, 2]-[-1]=float:[16]
("test_bert_sum_003_0047", "sum_run", ((16, 2), (-1,), False, "float32")),
# float-int32:[20, 21128]-[-1]=float:[20]
("test_bert_sum_003_0048", "sum_run", ((20, 21128), (-1,), False, "float32")),
# float-int32:[20480, 21128]-[-1]=float:[20480]
("test_bert_sum_003_0049", "sum_run", ((20480, 21128), (-1,), False, "float32")),
# float-int32:[2, 2]-[-1]=float:[2]
("test_bert_sum_003_0050", "sum_run", ((2, 2), (-1,), False, "float32")),
# float-int32:[2560, 21128]-[-1]=float:[2560]
("test_bert_sum_003_0051", "sum_run", ((2560, 21128), (-1,), False, "float32")),
# float-int32:[256, 2]-[-1]=float:[256]
("test_bert_sum_003_0052", "sum_run", ((256, 2), (-1,), False, "float32")),
# float-int32:[320, 21128]-[-1]=float:[320]
("test_bert_sum_003_0053", "sum_run", ((320, 21128), (-1,), False, "float32")),
# float-int32:[32, 2]-[-1]=float:[32]
("test_bert_sum_003_0054", "sum_run", ((32, 2), (-1,), False, "float32")),
# float-int32:[40, 21128]-[-1]=float:[40]
("test_bert_sum_003_0055", "sum_run", ((40, 21128), (-1,), False, "float32")),
# float-int32:[4, 2]-[-1]=float:[4]
("test_bert_sum_003_0056", "sum_run", ((4, 2), (-1,), False, "float32")),
# float-int32:[5120, 21128]-[-1]=float:[5120]
("test_bert_sum_003_0057", "sum_run", ((5120, 21128), (-1,), False, "float32")),
# float-int32:[512, 2]-[-1]=float:[512]
("test_bert_sum_003_0058", "sum_run", ((512, 2), (-1,), False, "float32")),
# float-int32:[640, 21128]-[-1]=float:[640]
("test_bert_sum_003_0059", "sum_run", ((640, 21128), (-1,), False, "float32")),
# float-int32:[64, 16, 128, 128]-[-1]=float:[64, 16, 128, 1]
("test_bert_sum_003_0060", "sum_run", ((64, 16, 128, 128), (-1,), False, "float32")),
# float-int32:[64, 2]-[-1]=float:[64]
("test_bert_sum_003_0061", "sum_run", ((64, 2), (-1,), False, "float32")),
# float-int32:[80, 21128]-[-1]=float:[80]
("test_bert_sum_003_0062", "sum_run", ((80, 21128), (-1,), False, "float32")),
# float-int32:[8, 2]-[-1]=float:[8]
("test_bert_sum_003_0063", "sum_run", ((8, 2), (-1,), False, "float32")),
# TanhGrad OP
# f#loat:[64, 1024]=float:[64, 1024]
("test_bert_tanh_grad_003_001", "tanh_grad_run", ((64, 1024), "float32")),
# Tanh OP
# float:[64, 1024]=float:[64, 1024]
("test_bert_tanh_003_001", "tanh_run", ((64, 1024), "float32")),
# Transpose OP
# float-int32:[1280, 1024]-[2]=float:[1280, 1024] (0,1)
("test_bert_transpose_003_0086", "transpose_run", ((1280, 1024), (0, 1), "float32")),
# float-int32:[128, 64, 16, 128]-[4]=float:[64, 16, 128, 128] (1,2,0,3)
("test_bert_transpose_003_0087", "transpose_run", ((128, 64, 16, 128), (1, 2, 0, 3), "float32")),
# float-int32:[128, 64, 16, 64]-[4]=float:[64, 16, 128, 64] (1,2,0,3)
("test_bert_transpose_003_0088", "transpose_run", ((128, 64, 16, 64), (1, 2, 0, 3), "float32")),
# float-int32:[64, 128, 16, 64]-[4]=float:[64, 16, 128, 64] (0,2,1,3)
("test_bert_transpose_003_0089", "transpose_run", ((64, 128, 16, 64), (0, 2, 1, 3), "float32")),
# float-int32:[64, 16, 128, 128]-[4]=float:[128, 64, 16, 128] (2,0,1,3)
("test_bert_transpose_003_0090", "transpose_run", ((64, 16, 128, 128), (2, 0, 1, 3), "float32")),
# float-int32:[64, 16, 128, 64]-[4]=float:[128, 64, 16, 64] (2,0,1,3)
("test_bert_transpose_003_0091", "transpose_run", ((64, 16, 128, 64), (2, 0, 1, 3), "float32")),
# float-int32:[64, 16, 128, 64]-[4]=float:[64, 128, 16, 64] (0,2,1,3)
("test_bert_transpose_003_0092", "transpose_run", ((64, 16, 128, 64), (0, 2, 1, 3), "float32")),
# float-int32:[8192, 1024]-[2]=float:[8192, 1024] (0,1)
("test_bert_transpose_003_0093", "transpose_run", ((8192, 1024), (0, 1), "float32")),
# Square OP
# float32:[1024, 1024] = float32:[1024, 1024]
("test_bert_square_003_001", "square_run", ((1024, 1024), "float32", "cce_mod_fp32")),
# float32:[1024, 4096] = float32:[1024, 4096]
("test_bert_square_003_002", "square_run", ((1024, 4096), "float32", "cce_mod_fp32")),
# float32:[1024] = float32:[1024]
("test_bert_square_003_003", "square_run", ((1024,), "float32", "cce_mod_fp32")),
# float32:[2, 1024] = float32:[2, 1024]
("test_bert_square_003_004", "square_run", ((2, 1024), "float32", "cce_mod_fp32")),
# float32:[21128, 1024] = float32:[21128, 1024]
("test_bert_square_003_005", "square_run", ((21128, 1024), "float32", "cce_mod_fp32")),
# float32:[21128, 768] = float32:[21128, 768]
("test_bert_square_003_006", "square_run", ((21128, 768), "float32", "cce_mod_fp32")),
# float32:[21128] = float32:[21128]
("test_bert_square_003_007", "square_run", ((21128,), "float32", "cce_mod_fp32")),
# float32:[2, 768] = float32:[2, 768]
("test_bert_square_003_008", "square_run", ((2, 768), "float32", "cce_mod_fp32")),
# float32:[2] = float32:[2]
("test_bert_square_003_009", "square_run", ((2,), "float32", "cce_mod_fp32")),
# float32:[3072, 768] = float32:[3072, 768]
("test_bert_square_003_010", "square_run", ((3072, 768), "float32", "cce_mod_fp32")),
# float32:[3072] = float32:[3072]
("test_bert_square_003_011", "square_run", ((3072,), "float32", "cce_mod_fp32")),
# float32:[33, 64] = float32:[33, 64]
("test_bert_square_003_012", "square_run", ((33, 64), "float32", "cce_mod_fp32")),
# float32:[4096, 1024] = float32:[4096, 1024]
("test_bert_square_003_013", "square_run", ((4096, 1024), "float32", "cce_mod_fp32")),
# float32:[4096] = float32:[4096]
("test_bert_square_003_014", "square_run", ((4096,), "float32", "cce_mod_fp32")),
# float32:[768, 3072] = float32:[768, 3072]
("test_bert_square_003_015", "square_run", ((768, 3072), "float32", "cce_mod_fp32")),
# float32:[768, 768] = float32:[768, 768]
("test_bert_square_003_016", "square_run", ((768, 768), "float32", "cce_mod_fp32")),
# float32:[768] = float32:[768]
("test_bert_square_003_017", "square_run", ((768,), "float32", "cce_mod_fp32")),
# FusedMinimumOrMaximumGrad OP
# float-float:[1024, 128, 1024]-[1024, 128, 1024]
("test_bert_fused_min_or_max_grad_003_001", "fused_minimum_or_maximum_grad_run",
((1024, 128, 1024), (1024, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1024, 128, 768]-[1024, 128, 768]
("test_bert_fused_min_or_max_grad_003_002", "fused_minimum_or_maximum_grad_run",
((1024, 128, 768), (1024, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1, 128, 1024]-[1, 128, 1024]
("test_bert_fused_min_or_max_grad_003_003", "fused_minimum_or_maximum_grad_run",
((1, 128, 1024), (1, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1, 128, 768]-[1, 128, 768]
("test_bert_fused_min_or_max_grad_003_004", "fused_minimum_or_maximum_grad_run",
((1, 128, 768), (1, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[128, 128, 1024]-[128, 128, 1024]
("test_bert_fused_min_or_max_grad_003_005", "fused_minimum_or_maximum_grad_run",
((128, 128, 1024), (128, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[128, 128, 64]-[128, 128, 64]
("test_bert_fused_min_or_max_grad_003_006", "fused_minimum_or_maximum_grad_run",
((128, 128, 64), (128, 128, 64), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[128, 128, 768]-[128, 128, 768]
("test_bert_fused_min_or_max_grad_003_007", "fused_minimum_or_maximum_grad_run",
((128, 128, 768), (128, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[16, 128, 1024]-[16, 128, 1024]
("test_bert_fused_min_or_max_grad_003_008", "fused_minimum_or_maximum_grad_run",
((16, 128, 1024), (16, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[16, 128, 768]-[16, 128, 768]
("test_bert_fused_min_or_max_grad_003_009", "fused_minimum_or_maximum_grad_run",
((16, 128, 768), (16, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[2, 128, 1024]-[2, 128, 1024]
("test_bert_fused_min_or_max_grad_003_010", "fused_minimum_or_maximum_grad_run",
((2, 128, 1024), (2, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[2, 128, 768]-[2, 128, 768]
("test_bert_fused_min_or_max_grad_003_011", "fused_minimum_or_maximum_grad_run",
((2, 128, 768), (2, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[256, 128, 1024]-[256, 128, 1024]
("test_bert_fused_min_or_max_grad_003_012", "fused_minimum_or_maximum_grad_run",
((256, 128, 1024), (256, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[256, 128, 768]-[256, 128, 768]
("test_bert_fused_min_or_max_grad_003_013", "fused_minimum_or_maximum_grad_run",
((256, 128, 768), (256, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[32, 128, 1024]-[32, 128, 1024]
("test_bert_fused_min_or_max_grad_003_014", "fused_minimum_or_maximum_grad_run",
((32, 128, 1024), (32, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[32, 128, 768]-[32, 128, 768]
("test_bert_fused_min_or_max_grad_003_015", "fused_minimum_or_maximum_grad_run",
((32, 128, 768), (32, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[4, 128, 1024]-[4, 128, 1024]
("test_bert_fused_min_or_max_grad_003_016", "fused_minimum_or_maximum_grad_run",
((4, 128, 1024), (4, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[4, 128, 768]-[4, 128, 768]
("test_bert_fused_min_or_max_grad_003_017", "fused_minimum_or_maximum_grad_run",
((4, 128, 768), (4, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[512, 128, 1024]-[512, 128, 1024]
("test_bert_fused_min_or_max_grad_003_018", "fused_minimum_or_maximum_grad_run",
((512, 128, 1024), (512, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[512, 128, 768]-[512, 128, 768]
("test_bert_fused_min_or_max_grad_003_019", "fused_minimum_or_maximum_grad_run",
((512, 128, 768), (512, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[64, 128, 1024]-[64, 128, 1024]
("test_bert_fused_min_or_max_grad_003_020", "fused_minimum_or_maximum_grad_run",
((64, 128, 1024), (64, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[64, 128, 768]-[64, 128, 768]
("test_bert_fused_min_or_max_grad_003_021", "fused_minimum_or_maximum_grad_run",
((64, 128, 768), (64, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[8, 128, 1024]-[8, 128, 1024]
("test_bert_fused_min_or_max_grad_003_022", "fused_minimum_or_maximum_grad_run",
((8, 128, 1024), (8, 128, 1024), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[8, 128, 768]-[8, 128, 768]
("test_bert_fused_min_or_max_grad_003_023", "fused_minimum_or_maximum_grad_run",
((8, 128, 768), (8, 128, 768), (1,), True, True, "GE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1024, 128, 1024]-[1024, 128, 1024]
("test_bert_fused_min_or_max_grad_003_024", "fused_minimum_or_maximum_grad_run",
((1024, 128, 1024), (1024, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1024, 128, 768]-[1024, 128, 768]
("test_bert_fused_min_or_max_grad_003_025", "fused_minimum_or_maximum_grad_run",
((1024, 128, 768), (1024, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1, 128, 1024]-[1, 128, 1024]
("test_bert_fused_min_or_max_grad_003_026", "fused_minimum_or_maximum_grad_run",
((1, 128, 1024), (1, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[1, 128, 768]-[1, 128, 768]
("test_bert_fused_min_or_max_grad_003_027", "fused_minimum_or_maximum_grad_run",
((1, 128, 768), (1, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[128, 128, 1024]-[128, 128, 1024]
("test_bert_fused_min_or_max_grad_003_028", "fused_minimum_or_maximum_grad_run",
((128, 128, 1024), (128, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[128, 128, 64]-[128, 128, 64]
("test_bert_fused_min_or_max_grad_003_029", "fused_minimum_or_maximum_grad_run",
((128, 128, 64), (128, 128, 64), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[128, 128, 768]-[128, 128, 768]
("test_bert_fused_min_or_max_grad_003_030", "fused_minimum_or_maximum_grad_run",
((128, 128, 768), (128, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[16, 128, 1024]-[16, 128, 1024]
("test_bert_fused_min_or_max_grad_003_031", "fused_minimum_or_maximum_grad_run",
((16, 128, 1024), (16, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[16, 128, 768]-[16, 128, 768]
("test_bert_fused_min_or_max_grad_003_032", "fused_minimum_or_maximum_grad_run",
((16, 128, 768), (16, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[2, 128, 1024]-[2, 128, 1024]
("test_bert_fused_min_or_max_grad_003_033", "fused_minimum_or_maximum_grad_run",
((2, 128, 1024), (2, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[2, 128, 768]-[2, 128, 768]
("test_bert_fused_min_or_max_grad_003_034", "fused_minimum_or_maximum_grad_run",
((2, 128, 768), (2, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[256, 128, 1024]-[256, 128, 1024]
("test_bert_fused_min_or_max_grad_003_035", "fused_minimum_or_maximum_grad_run",
((256, 128, 1024), (256, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[256, 128, 768]-[256, 128, 768]
("test_bert_fused_min_or_max_grad_003_036", "fused_minimum_or_maximum_grad_run",
((256, 128, 768), (256, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[32, 128, 1024]-[32, 128, 1024]
("test_bert_fused_min_or_max_grad_003_037", "fused_minimum_or_maximum_grad_run",
((32, 128, 1024), (32, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[32, 128, 768]-[32, 128, 768]
("test_bert_fused_min_or_max_grad_003_038", "fused_minimum_or_maximum_grad_run",
((32, 128, 768), (32, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[4, 128, 1024]-[4, 128, 1024]
("test_bert_fused_min_or_max_grad_003_039", "fused_minimum_or_maximum_grad_run",
((4, 128, 1024), (4, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[4, 128, 768]-[4, 128, 768]
("test_bert_fused_min_or_max_grad_003_040", "fused_minimum_or_maximum_grad_run",
((4, 128, 768), (4, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[512, 128, 1024]-[512, 128, 1024]
("test_bert_fused_min_or_max_grad_003_041", "fused_minimum_or_maximum_grad_run",
((512, 128, 1024), (512, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[512, 128, 768]-[512, 128, 768]
("test_bert_fused_min_or_max_grad_003_042", "fused_minimum_or_maximum_grad_run",
((512, 128, 768), (512, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[64, 128, 1024]-[64, 128, 1024]
("test_bert_fused_min_or_max_grad_003_043", "fused_minimum_or_maximum_grad_run",
((64, 128, 1024), (64, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[64, 128, 768]-[64, 128, 768]
("test_bert_fused_min_or_max_grad_003_044", "fused_minimum_or_maximum_grad_run",
((64, 128, 768), (64, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[8, 128, 1024]-[8, 128, 1024]
("test_bert_fused_min_or_max_grad_003_045", "fused_minimum_or_maximum_grad_run",
((8, 128, 1024), (8, 128, 1024), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# float-float:[8, 128, 768]-[8, 128, 768]
("test_bert_fused_min_or_max_grad_003_046", "fused_minimum_or_maximum_grad_run",
((8, 128, 768), (8, 128, 768), (1,), True, True, "LE", "float32", "cce_min_max_grad_fp16")),
# bias_add_grad OP
# float:[10240, 1024] = float:[1024]
("test_bert_bias_add_grad_001", "bias_add_grad_run", ([10240, 1024, 1, 1], "NCHW", "float32")),
# float:[1024, 1024] = float:[1024]
("test_bert_bias_add_grad_002", "bias_add_grad_run", ([1024, 1024, 1, 1], "NCHW", "float32")),
# float:[1, 1024] = float:[1024]
("test_bert_bias_add_grad_003", "bias_add_grad_run", ([1, 1024, 1, 1], "NCHW", "float32")),
# float:[1280, 1024] = float:[1024]
("test_bert_bias_add_grad_004", "bias_add_grad_run", ([1280, 1024, 1, 1], "NCHW", "float32")),
# float:[128, 1024] = float:[1024]
("test_bert_bias_add_grad_005", "bias_add_grad_run", ([128, 1024, 1, 1], "NCHW", "float32")),
# float:[131072, 1024] = float:[1024]
("test_bert_bias_add_grad_006", "bias_add_grad_run", ([131072, 1024, 1, 1], "NCHW", "float32")),
# float:[160, 1024] = float:[1024]
("test_bert_bias_add_grad_007", "bias_add_grad_run", ([160, 1024, 1, 1], "NCHW", "float32")),
# float:[16, 1024] = float:[1024]
("test_bert_bias_add_grad_008", "bias_add_grad_run", ([16, 1024, 1, 1], "NCHW", "float32")),
# float:[16384, 1024] = float:[1024]
("test_bert_bias_add_grad_009", "bias_add_grad_run", ([16384, 1024, 1, 1], "NCHW", "float32")),
# float:[20, 1024] = float:[1024]
("test_bert_bias_add_grad_010", "bias_add_grad_run", ([20, 1024, 1, 1], "NCHW", "float32")),
# float:[20480, 1024] = float:[1024]
("test_bert_bias_add_grad_011", "bias_add_grad_run", ([20480, 1024, 1, 1], "NCHW", "float32")),
# float:[2048, 1024] = float:[1024]
("test_bert_bias_add_grad_012", "bias_add_grad_run", ([2048, 1024, 1, 1], "NCHW", "float32")),
# float:[2, 1024] = float:[1024]
("test_bert_bias_add_grad_013", "bias_add_grad_run", ([2, 1024, 1, 1], "NCHW", "float32")),
# float:[2560, 1024] = float:[1024]
("test_bert_bias_add_grad_014", "bias_add_grad_run", ([2560, 1024, 1, 1], "NCHW", "float32")),
# float:[256, 1024] = float:[1024]
("test_bert_bias_add_grad_015", "bias_add_grad_run", ([256, 1024, 1, 1], "NCHW", "float32")),
# float:[320, 1024] = float:[1024]
("test_bert_bias_add_grad_016", "bias_add_grad_run", ([320, 1024, 1, 1], "NCHW", "float32")),
# float:[32, 1024] = float:[1024]
("test_bert_bias_add_grad_017", "bias_add_grad_run", ([32, 1024, 1, 1], "NCHW", "float32")),
# float:[32768, 1024] = float:[1024]
("test_bert_bias_add_grad_018", "bias_add_grad_run", ([32768, 1024, 1, 1], "NCHW", "float32")),
# float:[40, 1024] = float:[1024]
("test_bert_bias_add_grad_019", "bias_add_grad_run", ([40, 1024, 1, 1], "NCHW", "float32")),
# float:[4096, 1024] = float:[1024]
("test_bert_bias_add_grad_020", "bias_add_grad_run", ([4096, 1024, 1, 1], "NCHW", "float32")),
# float:[4, 1024] = float:[1024]
("test_bert_bias_add_grad_021", "bias_add_grad_run", ([4, 1024, 1, 1], "NCHW", "float32")),
# float:[5120, 1024] = float:[1024]
("test_bert_bias_add_grad_022", "bias_add_grad_run", ([5120, 1024, 1, 1], "NCHW", "float32")),
# float:[512, 1024] = float:[1024]
("test_bert_bias_add_grad_023", "bias_add_grad_run", ([512, 1024, 1, 1], "NCHW", "float32")),
# float:[640, 1024] = float:[1024]
("test_bert_bias_add_grad_024", "bias_add_grad_run", ([640, 1024, 1, 1], "NCHW", "float32")),
# float:[64, 1024] = float:[1024]
("test_bert_bias_add_grad_025", "bias_add_grad_run", ([64, 1024, 1, 1], "NCHW", "float32")),
# float:[65536, 1024] = float:[1024]
("test_bert_bias_add_grad_026", "bias_add_grad_run", ([65536, 1024, 1, 1], "NCHW", "float32")),
# float:[80, 1024] = float:[1024]
("test_bert_bias_add_grad_027", "bias_add_grad_run", ([80, 1024, 1, 1], "NCHW", "float32")),
# float:[8, 1024] = float:[1024]
("test_bert_bias_add_grad_028", "bias_add_grad_run", ([8, 1024, 1, 1], "NCHW", "float32")),
# float:[8192, 1024] = float:[1024]
("test_bert_bias_add_grad_029", "bias_add_grad_run", ([8192, 1024, 1, 1], "NCHW", "float32")),
# float:[1024, 2] = float:[2]
("test_bert_bias_add_grad_030", "bias_add_grad_run", ([1024, 2, 1, 1], "NCHW", "float32")),
# float:[1, 2] = float:[2]
("test_bert_bias_add_grad_031", "bias_add_grad_run", ([1, 2, 1, 1], "NCHW", "float32")),
# float:[128, 2] = float:[2]
("test_bert_bias_add_grad_032", "bias_add_grad_run", ([128, 2, 1, 1], "NCHW", "float32")),
# float:[16, 2] = float:[2]
("test_bert_bias_add_grad_033", "bias_add_grad_run", ([16, 2, 1, 1], "NCHW", "float32")),
# float:[2, 2] = float:[2]
("test_bert_bias_add_grad_034", "bias_add_grad_run", ([2, 2, 1, 1], "NCHW", "float32")),
# float:[256, 2] = float:[2]
("test_bert_bias_add_grad_035", "bias_add_grad_run", ([256, 2, 1, 1], "NCHW", "float32")),
# float:[32, 2] = float:[2]
("test_bert_bias_add_grad_036", "bias_add_grad_run", ([32, 2, 1, 1], "NCHW", "float32")),
# float:[4, 2] = float:[2]
("test_bert_bias_add_grad_037", "bias_add_grad_run", ([4, 2, 1, 1], "NCHW", "float32")),
# float:[512, 2] = float:[2]
("test_bert_bias_add_grad_038", "bias_add_grad_run", ([512, 2, 1, 1], "NCHW", "float32")),
# float:[64, 2] = float:[2]
("test_bert_bias_add_grad_039", "bias_add_grad_run", ([64, 2, 1, 1], "NCHW", "float32")),
# float:[8, 2] = float:[2]
("test_bert_bias_add_grad_040", "bias_add_grad_run", ([8, 2, 1, 1], "NCHW", "float32")),
# float:[1024, 3072] = float:[3072]
("test_bert_bias_add_grad_041", "bias_add_grad_run", ([1024, 3072, 1, 1], "NCHW", "float32")),
# float:[128, 3072] = float:[3072]
("test_bert_bias_add_grad_042", "bias_add_grad_run", ([128, 3072, 1, 1], "NCHW", "float32")),
# float:[131072, 3072] = float:[3072]
("test_bert_bias_add_grad_043", "bias_add_grad_run", ([131072, 3072, 1, 1], "NCHW", "float32")),
# float:[16384, 3072] = float:[3072]
("test_bert_bias_add_grad_044", "bias_add_grad_run", ([16384, 3072, 1, 1], "NCHW", "float32")),
# float:[2048, 3072] = float:[3072]
("test_bert_bias_add_grad_045", "bias_add_grad_run", ([2048, 3072, 1, 1], "NCHW", "float32")),
# float:[256, 3072] = float:[3072]
("test_bert_bias_add_grad_046", "bias_add_grad_run", ([256, 3072, 1, 1], "NCHW", "float32")),
# float:[32768, 3072] = float:[3072]
("test_bert_bias_add_grad_047", "bias_add_grad_run", ([32768, 3072, 1, 1], "NCHW", "float32")),
# float:[4096, 3072] = float:[3072]
("test_bert_bias_add_grad_048", "bias_add_grad_run", ([4096, 3072, 1, 1], "NCHW", "float32")),
# float:[512, 3072] = float:[3072]
("test_bert_bias_add_grad_049", "bias_add_grad_run", ([512, 3072, 1, 1], "NCHW", "float32")),
# float:[65536, 3072] = float:[3072]
("test_bert_bias_add_grad_050", "bias_add_grad_run", ([65536, 3072, 1, 1], "NCHW", "float32")),
# float:[8192, 3072] = float:[3072]
("test_bert_bias_add_grad_051", "bias_add_grad_run", ([8192, 3072, 1, 1], "NCHW", "float32")),
# float:[1024, 4096] = float:[4096]
("test_bert_bias_add_grad_052", "bias_add_grad_run", ([1024, 4096, 1, 1], "NCHW", "float32")),
# float:[128, 4096] = float:[4096]
("test_bert_bias_add_grad_053", "bias_add_grad_run", ([128, 4096, 1, 1], "NCHW", "float32")),
# float:[131072, 4096] = float:[4096]
("test_bert_bias_add_grad_054", "bias_add_grad_run", ([131072, 4096, 1, 1], "NCHW", "float32")),
# float:[16384, 4096] = float:[4096]
("test_bert_bias_add_grad_055", "bias_add_grad_run", ([16384, 4096, 1, 1], "NCHW", "float32")),
# float:[2048, 4096] = float:[4096]
("test_bert_bias_add_grad_056", "bias_add_grad_run", ([2048, 4096, 1, 1], "NCHW", "float32")),
# float:[256, 4096] = float:[4096]
("test_bert_bias_add_grad_057", "bias_add_grad_run", ([256, 4096, 1, 1], "NCHW", "float32")),
# float:[32768, 4096] = float:[4096]
("test_bert_bias_add_grad_058", "bias_add_grad_run", ([32768, 4096, 1, 1], "NCHW", "float32")),
# float:[4096, 4096] = float:[4096]
("test_bert_bias_add_grad_059", "bias_add_grad_run", ([4096, 4096, 1, 1], "NCHW", "float32")),
# float:[512, 4096] = float:[4096]
("test_bert_bias_add_grad_060", "bias_add_grad_run", ([512, 4096, 1, 1], "NCHW", "float32")),
# float:[65536, 4096] = float:[4096]
("test_bert_bias_add_grad_061", "bias_add_grad_run", ([65536, 4096, 1, 1], "NCHW", "float32")),
# float:[8192, 4096] = float:[4096]
("test_bert_bias_add_grad_062", "bias_add_grad_run", ([8192, 4096, 1, 1], "NCHW", "float32")),
# float:[10240, 768] = float:[768]
("test_bert_bias_add_grad_063", "bias_add_grad_run", ([10240, 768, 1, 1], "NCHW", "float32")),
# float:[1024, 768] = float:[768]
("test_bert_bias_add_grad_064", "bias_add_grad_run", ([1024, 768, 1, 1], "NCHW", "float32")),
# float:[1280, 768] = float:[768]
("test_bert_bias_add_grad_065", "bias_add_grad_run", ([1280, 768, 1, 1], "NCHW", "float32")),
# float:[128, 768] = float:[768]
("test_bert_bias_add_grad_066", "bias_add_grad_run", ([128, 768, 1, 1], "NCHW", "float32")),
# float:[131072, 768] = float:[768]
("test_bert_bias_add_grad_067", "bias_add_grad_run", ([131072, 768, 1, 1], "NCHW", "float32")),
# float:[160, 768] = float:[768]
("test_bert_bias_add_grad_068", "bias_add_grad_run", ([160, 768, 1, 1], "NCHW", "float32")),
# float:[16384, 768] = float:[768]
("test_bert_bias_add_grad_069", "bias_add_grad_run", ([16384, 768, 1, 1], "NCHW", "float32")),
# float:[16, 768] = float:[768]
("test_bert_bias_add_grad_070", "bias_add_grad_run", ([16, 768, 1, 1], "NCHW", "float32")),
# float:[1, 768] = float:[768]
("test_bert_bias_add_grad_071", "bias_add_grad_run", ([1, 768, 1, 1], "NCHW", "float32")),
# float:[20480, 768] = float:[768]
("test_bert_bias_add_grad_072", "bias_add_grad_run", ([20480, 768, 1, 1], "NCHW", "float32")),
# float:[2048, 768] = float:[768]
("test_bert_bias_add_grad_073", "bias_add_grad_run", ([2048, 768, 1, 1], "NCHW", "float32")),
# float:[20, 768] = float:[768]
("test_bert_bias_add_grad_074", "bias_add_grad_run", ([20, 768, 1, 1], "NCHW", "float32")),
# float:[2560, 768] = float:[768]
("test_bert_bias_add_grad_075", "bias_add_grad_run", ([2560, 768, 1, 1], "NCHW", "float32")),
# float:[256, 768] = float:[768]
("test_bert_bias_add_grad_076", "bias_add_grad_run", ([256, 768, 1, 1], "NCHW", "float32")),
# float:[2, 768] = float:[768]
("test_bert_bias_add_grad_077", "bias_add_grad_run", ([2, 768, 1, 1], "NCHW", "float32")),
# float:[320, 768] = float:[768]
("test_bert_bias_add_grad_078", "bias_add_grad_run", ([320, 768, 1, 1], "NCHW", "float32")),
# float:[32, 768] = float:[768]
("test_bert_bias_add_grad_079", "bias_add_grad_run", ([32, 768, 1, 1], "NCHW", "float32")),
# float:[32768, 768] = float:[768]
("test_bert_bias_add_grad_080", "bias_add_grad_run", ([32768, 768, 1, 1], "NCHW", "float32")),
# float:[40, 768] = float:[768]
("test_bert_bias_add_grad_081", "bias_add_grad_run", ([40, 768, 1, 1], "NCHW", "float32")),
# float:[4096, 768] = float:[768]
("test_bert_bias_add_grad_082", "bias_add_grad_run", ([4096, 768, 1, 1], "NCHW", "float32")),
# float:[4, 768] = float:[768]
("test_bert_bias_add_grad_083", "bias_add_grad_run", ([4, 768, 1, 1], "NCHW", "float32")),
# float:[5120, 768] = float:[768]
("test_bert_bias_add_grad_084", "bias_add_grad_run", ([5120, 768, 1, 1], "NCHW", "float32")),
# float:[512, 768] = float:[768]
("test_bert_bias_add_grad_085", "bias_add_grad_run", ([512, 768, 1, 1], "NCHW", "float32")),
# float:[640, 768] = float:[768]
("test_bert_bias_add_grad_086", "bias_add_grad_run", ([640, 768, 1, 1], "NCHW", "float32")),
# float:[64, 768] = float:[768]
("test_bert_bias_add_grad_087", "bias_add_grad_run", ([64, 768, 1, 1], "NCHW", "float32")),
# float:[65536, 768] = float:[768]
("test_bert_bias_add_grad_088", "bias_add_grad_run", ([65536, 768, 1, 1], "NCHW", "float32")),
# float:[80, 768] = float:[768]
("test_bert_bias_add_grad_089", "bias_add_grad_run", ([80, 768, 1, 1], "NCHW", "float32")),
# float:[8192, 768] = float:[768]
("test_bert_bias_add_grad_090", "bias_add_grad_run", ([8192, 768, 1, 1], "NCHW", "float32")),
# float:[8, 768] = float:[768]
("test_bert_bias_add_grad_091", "bias_add_grad_run", ([8, 768, 1, 1], "NCHW", "float32")),
("test_bert_div_003_001", "div_run", ((21128, 1024), (1,), "float32")),
("test_bert_div_003_002", "div_run", ((2, 1024), (1,), "float32")),
("test_bert_div_003_003", "div_run", ((1024,), (1,), "float32")),
("test_bert_div_003_004", "div_run", ((1024, 1024), (1,), "float32")),
("test_bert_div_003_005", "div_run", ((33, 64), (1,), "float32")),
("test_bert_div_003_006", "div_run", ((1024, 4096), (1,), "float32")),
("test_bert_div_003_007", "div_run", ((4096,), (1,), "float32")),
("test_bert_div_003_008", "div_run", ((4096, 1024), (1,), "float32")),
("test_bert_div_003_009", "div_run", ((21128,), (1,), "float32")),
("test_bert_div_003_010", "div_run", ((2,), (1,), "float32")),
# float-float:[10240, 1024]-[1024, 1024]=float:[10240, 1024]
("test_bert_batch_matmul_003_160", "batchmatmul_run",
((), 10240, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[10240, 768]-[768, 768]=float:[10240, 768]
("test_bert_batch_matmul_003_161", "batchmatmul_run",
((), 10240, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 1024]-[1024, 1024]=float:[1024, 1024]
("test_bert_batch_matmul_003_162", "batchmatmul_run",
((), 1024, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[1024, 4096]-[1024, 4096]=float:[1024, 1024]
("test_bert_batch_matmul_003_163", "batchmatmul_run",
((), 1024, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 1024]-[2, 1024]=float:[1024, 2]
("test_bert_batch_matmul_003_164", "batchmatmul_run",
((), 1024, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 768]-[2, 768]=float:[1024, 2]
("test_bert_batch_matmul_003_165", "batchmatmul_run",
((), 1024, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 768]-[3072, 768]=float:[1024, 3072]
("test_bert_batch_matmul_003_166", "batchmatmul_run",
((), 1024, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 1024]-[4096, 1024]=float:[1024, 4096]
("test_bert_batch_matmul_003_167", "batchmatmul_run",
((), 1024, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 3072]-[768, 3072]=float:[1024, 768]
("test_bert_batch_matmul_003_168", "batchmatmul_run",
((), 1024, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[1024, 768]-[768, 768]=float:[1024, 768]
("test_bert_batch_matmul_003_169", "batchmatmul_run",
((), 1024, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 1024]-[1024, 1024]=float:[1, 1024]
("test_bert_batch_matmul_003_170", "batchmatmul_run",
((), 1, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[1280, 1024]-[1024, 1024]=float:[1280, 1024]
("test_bert_batch_matmul_003_171", "batchmatmul_run",
((), 1280, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[1280, 768]-[768, 768]=float:[1280, 768]
("test_bert_batch_matmul_003_172", "batchmatmul_run",
((), 1280, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 1024]-[1024, 1024]=float:[128, 1024]
("test_bert_batch_matmul_003_173", "batchmatmul_run",
((), 128, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[128, 4096]-[1024, 4096]=float:[128, 1024]
("test_bert_batch_matmul_003_174", "batchmatmul_run",
((), 128, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 1024]-[2, 1024]=float:[128, 2]
("test_bert_batch_matmul_003_175", "batchmatmul_run",
((), 128, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 768]-[2, 768]=float:[128, 2]
("test_bert_batch_matmul_003_176", "batchmatmul_run",
((), 128, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 768]-[3072, 768]=float:[128, 3072]
("test_bert_batch_matmul_003_177", "batchmatmul_run",
((), 128, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 1024]-[4096, 1024]=float:[128, 4096]
("test_bert_batch_matmul_003_178", "batchmatmul_run",
((), 128, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 3072]-[768, 3072]=float:[128, 768]
("test_bert_batch_matmul_003_179", "batchmatmul_run",
((), 128, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[128, 768]-[768, 768]=float:[128, 768]
("test_bert_batch_matmul_003_180", "batchmatmul_run",
((), 128, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 1024]-[2, 1024]=float:[1, 2]
("test_bert_batch_matmul_003_181", "batchmatmul_run",
((), 1, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[1, 768]-[2, 768]=float:[1, 2]
("test_bert_batch_matmul_003_182", "batchmatmul_run",
((), 1, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[131072, 1024]-[1024, 1024]=float:[131072, 1024]
("test_bert_batch_matmul_003_183", "batchmatmul_run",
((), 131072, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[131072, 4096]-[1024, 4096]=float:[131072, 1024]
("test_bert_batch_matmul_003_184", "batchmatmul_run",
((), 131072, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[131072, 768]-[3072, 768]=float:[131072, 3072]
("test_bert_batch_matmul_003_185", "batchmatmul_run",
((), 131072, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[131072, 1024]-[4096, 1024]=float:[131072, 4096]
("test_bert_batch_matmul_003_186", "batchmatmul_run",
((), 131072, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[131072, 3072]-[768, 3072]=float:[131072, 768]
("test_bert_batch_matmul_003_187", "batchmatmul_run",
((), 131072, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[131072, 768]-[768, 768]=float:[131072, 768]
("test_bert_batch_matmul_003_188", "batchmatmul_run",
((), 131072, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[160, 1024]-[1024, 1024]=float:[160, 1024]
("test_bert_batch_matmul_003_189", "batchmatmul_run",
((), 160, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[160, 768]-[768, 768]=float:[160, 768]
("test_bert_batch_matmul_003_190", "batchmatmul_run",
((), 160, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 1024]-[1024, 1024]=float:[16, 1024]
("test_bert_batch_matmul_003_191", "batchmatmul_run",
((), 16, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 1024]-[2, 1024]=float:[16, 2]
("test_bert_batch_matmul_003_192", "batchmatmul_run",
((), 16, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[16, 768]-[2, 768]=float:[16, 2]
("test_bert_batch_matmul_003_193", "batchmatmul_run",
((), 16, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[16384, 1024]-[1024, 1024]=float:[16384, 1024]
("test_bert_batch_matmul_003_194", "batchmatmul_run",
((), 16384, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[16384, 4096]-[1024, 4096]=float:[16384, 1024]
("test_bert_batch_matmul_003_195", "batchmatmul_run",
((), 16384, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[16384, 768]-[3072, 768]=float:[16384, 3072]
("test_bert_batch_matmul_003_196", "batchmatmul_run",
((), 16384, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[16384, 1024]-[4096, 1024]=float:[16384, 4096]
("test_bert_batch_matmul_003_197", "batchmatmul_run",
((), 16384, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[16384, 3072]-[768, 3072]=float:[16384, 768]
("test_bert_batch_matmul_003_198", "batchmatmul_run",
((), 16384, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[16384, 768]-[768, 768]=float:[16384, 768]
("test_bert_batch_matmul_003_199", "batchmatmul_run",
((), 16384, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[16, 768]-[768, 768]=float:[16, 768]
("test_bert_batch_matmul_003_200", "batchmatmul_run",
((), 16, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[1, 768]-[768, 768]=float:[1, 768]
("test_bert_batch_matmul_003_201", "batchmatmul_run",
((), 1, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[20, 1024]-[1024, 1024]=float:[20, 1024]
("test_bert_batch_matmul_003_202", "batchmatmul_run",
((), 20, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[20480, 1024]-[1024, 1024]=float:[20480, 1024]
("test_bert_batch_matmul_003_203", "batchmatmul_run",
((), 20480, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[20480, 768]-[768, 768]=float:[20480, 768]
("test_bert_batch_matmul_003_204", "batchmatmul_run",
((), 20480, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[2048, 1024]-[1024, 1024]=float:[2048, 1024]
("test_bert_batch_matmul_003_205", "batchmatmul_run",
((), 2048, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[2048, 4096]-[1024, 4096]=float:[2048, 1024]
("test_bert_batch_matmul_003_206", "batchmatmul_run",
((), 2048, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[2048, 768]-[3072, 768]=float:[2048, 3072]
("test_bert_batch_matmul_003_207", "batchmatmul_run",
((), 2048, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[2048, 1024]-[4096, 1024]=float:[2048, 4096]
("test_bert_batch_matmul_003_208", "batchmatmul_run",
((), 2048, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[2048, 3072]-[768, 3072]=float:[2048, 768]
("test_bert_batch_matmul_003_209", "batchmatmul_run",
((), 2048, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[2048, 768]-[768, 768]=float:[2048, 768]
("test_bert_batch_matmul_003_210", "batchmatmul_run",
((), 2048, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[20, 768]-[768, 768]=float:[20, 768]
("test_bert_batch_matmul_003_211", "batchmatmul_run",
((), 20, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 1024]-[1024, 1024]=float:[2, 1024]
("test_bert_batch_matmul_003_212", "batchmatmul_run",
((), 2, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 1024]-[2, 1024]=float:[2, 2]
("test_bert_batch_matmul_003_213", "batchmatmul_run",
((), 2, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[2, 768]-[2, 768]=float:[2, 2]
("test_bert_batch_matmul_003_214", "batchmatmul_run",
((), 2, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[2560, 1024]-[1024, 1024]=float:[2560, 1024]
("test_bert_batch_matmul_003_215", "batchmatmul_run",
((), 2560, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[2560, 768]-[768, 768]=float:[2560, 768]
("test_bert_batch_matmul_003_216", "batchmatmul_run",
((), 2560, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 1024]-[1024, 1024]=float:[256, 1024]
("test_bert_batch_matmul_003_217", "batchmatmul_run",
((), 256, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[256, 4096]-[1024, 4096]=float:[256, 1024]
("test_bert_batch_matmul_003_218", "batchmatmul_run",
((), 256, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 1024]-[2, 1024]=float:[256, 2]
("test_bert_batch_matmul_003_219", "batchmatmul_run",
((), 256, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 768]-[2, 768]=float:[256, 2]
("test_bert_batch_matmul_003_220", "batchmatmul_run",
((), 256, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 768]-[3072, 768]=float:[256, 3072]
("test_bert_batch_matmul_003_221", "batchmatmul_run",
((), 256, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 1024]-[4096, 1024]=float:[256, 4096]
("test_bert_batch_matmul_003_222", "batchmatmul_run",
((), 256, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 3072]-[768, 3072]=float:[256, 768]
("test_bert_batch_matmul_003_223", "batchmatmul_run",
((), 256, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[256, 768]-[768, 768]=float:[256, 768]
("test_bert_batch_matmul_003_224", "batchmatmul_run",
((), 256, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[2, 768]-[768, 768]=float:[2, 768]
("test_bert_batch_matmul_003_225", "batchmatmul_run",
((), 2, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[320, 1024]-[1024, 1024]=float:[320, 1024]
("test_bert_batch_matmul_003_226", "batchmatmul_run",
((), 320, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[320, 768]-[768, 768]=float:[320, 768]
("test_bert_batch_matmul_003_227", "batchmatmul_run",
((), 320, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 1024]-[1024, 1024]=float:[32, 1024]
("test_bert_batch_matmul_003_228", "batchmatmul_run",
((), 32, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 1024]-[2, 1024]=float:[32, 2]
("test_bert_batch_matmul_003_229", "batchmatmul_run",
((), 32, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[32, 768]-[2, 768]=float:[32, 2]
("test_bert_batch_matmul_003_230", "batchmatmul_run",
((), 32, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[32768, 1024]-[1024, 1024]=float:[32768, 1024]
("test_bert_batch_matmul_003_231", "batchmatmul_run",
((), 32768, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[32768, 4096]-[1024, 4096]=float:[32768, 1024]
("test_bert_batch_matmul_003_232", "batchmatmul_run",
((), 32768, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[32768, 768]-[3072, 768]=float:[32768, 3072]
("test_bert_batch_matmul_003_233", "batchmatmul_run",
((), 32768, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[32768, 1024]-[4096, 1024]=float:[32768, 4096]
("test_bert_batch_matmul_003_234", "batchmatmul_run",
((), 32768, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[32768, 3072]-[768, 3072]=float:[32768, 768]
("test_bert_batch_matmul_003_235", "batchmatmul_run",
((), 32768, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[32768, 768]-[768, 768]=float:[32768, 768]
("test_bert_batch_matmul_003_236", "batchmatmul_run",
((), 32768, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[32, 768]-[768, 768]=float:[32, 768]
("test_bert_batch_matmul_003_237", "batchmatmul_run",
((), 32, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[40, 1024]-[1024, 1024]=float:[40, 1024]
("test_bert_batch_matmul_003_238", "batchmatmul_run",
((), 40, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[40, 768]-[768, 768]=float:[40, 768]
("test_bert_batch_matmul_003_239", "batchmatmul_run",
((), 40, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[4096, 1024]-[1024, 1024]=float:[4096, 1024]
("test_bert_batch_matmul_003_240", "batchmatmul_run",
((), 4096, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[4096, 4096]-[1024, 4096]=float:[4096, 1024]
("test_bert_batch_matmul_003_241", "batchmatmul_run",
((), 4096, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[4096, 768]-[3072, 768]=float:[4096, 3072]
("test_bert_batch_matmul_003_242", "batchmatmul_run",
((), 4096, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[4096, 1024]-[4096, 1024]=float:[4096, 4096]
("test_bert_batch_matmul_003_243", "batchmatmul_run",
((), 4096, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[4096, 3072]-[768, 3072]=float:[4096, 768]
("test_bert_batch_matmul_003_244", "batchmatmul_run",
((), 4096, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[4096, 768]-[768, 768]=float:[4096, 768]
("test_bert_batch_matmul_003_245", "batchmatmul_run",
((), 4096, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[4, 1024]-[1024, 1024]=float:[4, 1024]
("test_bert_batch_matmul_003_246", "batchmatmul_run",
((), 4, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[4, 1024]-[2, 1024]=float:[4, 2]
("test_bert_batch_matmul_003_247", "batchmatmul_run",
((), 4, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[4, 768]-[2, 768]=float:[4, 2]
("test_bert_batch_matmul_003_248", "batchmatmul_run",
((), 4, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[4, 768]-[768, 768]=float:[4, 768]
("test_bert_batch_matmul_003_249", "batchmatmul_run",
((), 4, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[5120, 1024]-[1024, 1024]=float:[5120, 1024]
("test_bert_batch_matmul_003_250", "batchmatmul_run",
((), 5120, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[5120, 768]-[768, 768]=float:[5120, 768]
("test_bert_batch_matmul_003_251", "batchmatmul_run",
((), 5120, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 1024]-[1024, 1024]=float:[512, 1024]
("test_bert_batch_matmul_003_252", "batchmatmul_run",
((), 512, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[512, 4096]-[1024, 4096]=float:[512, 1024]
("test_bert_batch_matmul_003_253", "batchmatmul_run",
((), 512, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 1024]-[2, 1024]=float:[512, 2]
("test_bert_batch_matmul_003_254", "batchmatmul_run",
((), 512, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 768]-[2, 768]=float:[512, 2]
("test_bert_batch_matmul_003_255", "batchmatmul_run",
((), 512, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 768]-[3072, 768]=float:[512, 3072]
("test_bert_batch_matmul_003_256", "batchmatmul_run",
((), 512, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 1024]-[4096, 1024]=float:[512, 4096]
("test_bert_batch_matmul_003_257", "batchmatmul_run",
((), 512, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 3072]-[768, 3072]=float:[512, 768]
("test_bert_batch_matmul_003_258", "batchmatmul_run",
((), 512, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[512, 768]-[768, 768]=float:[512, 768]
("test_bert_batch_matmul_003_259", "batchmatmul_run",
((), 512, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[640, 1024]-[1024, 1024]=float:[640, 1024]
("test_bert_batch_matmul_003_260", "batchmatmul_run",
((), 640, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[640, 768]-[768, 768]=float:[640, 768]
("test_bert_batch_matmul_003_261", "batchmatmul_run",
((), 640, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[64, 1024]-[1024, 1024]=float:[64, 1024]
("test_bert_batch_matmul_003_262", "batchmatmul_run",
((), 64, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[64, 1024]-[2, 1024]=float:[64, 2]
("test_bert_batch_matmul_003_263", "batchmatmul_run",
((), 64, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[64, 768]-[2, 768]=float:[64, 2]
("test_bert_batch_matmul_003_264", "batchmatmul_run",
((), 64, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[64, 768]-[768, 768]=float:[64, 768]
("test_bert_batch_matmul_003_265", "batchmatmul_run",
((), 64, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[65536, 1024]-[1024, 1024]=float:[65536, 1024]
("test_bert_batch_matmul_003_266", "batchmatmul_run",
((), 65536, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[65536, 4096]-[1024, 4096]=float:[65536, 1024]
("test_bert_batch_matmul_003_267", "batchmatmul_run",
((), 65536, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[65536, 768]-[3072, 768]=float:[65536, 3072]
("test_bert_batch_matmul_003_268", "batchmatmul_run",
((), 65536, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[65536, 1024]-[4096, 1024]=float:[65536, 4096]
("test_bert_batch_matmul_003_269", "batchmatmul_run",
((), 65536, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[65536, 3072]-[768, 3072]=float:[65536, 768]
("test_bert_batch_matmul_003_270", "batchmatmul_run",
((), 65536, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[65536, 768]-[768, 768]=float:[65536, 768]
("test_bert_batch_matmul_003_271", "batchmatmul_run",
((), 65536, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[80, 1024]-[1024, 1024]=float:[80, 1024]
("test_bert_batch_matmul_003_272", "batchmatmul_run",
((), 80, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[80, 768]-[768, 768]=float:[80, 768]
("test_bert_batch_matmul_003_273", "batchmatmul_run",
((), 80, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[8, 1024]-[1024, 1024]=float:[8, 1024]
("test_bert_batch_matmul_003_274", "batchmatmul_run",
((), 8, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[8192, 1024]-[1024, 1024]=float:[8192, 1024]
("test_bert_batch_matmul_003_275", "batchmatmul_run",
((), 8192, 1024, 1024, (1024,), "float32", False, False, "batch_matmul_output")),
# float-float:[8192, 4096]-[1024, 4096]=float:[8192, 1024]
("test_bert_batch_matmul_003_276", "batchmatmul_run",
((), 8192, 1024, 4096, (1024,), "float32", False, True, "batch_matmul_output")),
# float-float:[8192, 768]-[3072, 768]=float:[8192, 3072]
("test_bert_batch_matmul_003_277", "batchmatmul_run",
((), 8192, 3072, 768, (3072,), "float32", False, True, "batch_matmul_output")),
# float-float:[8192, 1024]-[4096, 1024]=float:[8192, 4096]
("test_bert_batch_matmul_003_278", "batchmatmul_run",
((), 8192, 4096, 1024, (4096,), "float32", False, True, "batch_matmul_output")),
# float-float:[8192, 3072]-[768, 3072]=float:[8192, 768]
("test_bert_batch_matmul_003_279", "batchmatmul_run",
((), 8192, 768, 3072, (768,), "float32", False, True, "batch_matmul_output")),
# float-float:[8192, 768]-[768, 768]=float:[8192, 768]
("test_bert_batch_matmul_003_280", "batchmatmul_run",
((), 8192, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
# float-float:[8, 1024]-[2, 1024]=float:[8, 2]
("test_bert_batch_matmul_003_281", "batchmatmul_run",
((), 8, 2, 1024, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[8, 768]-[2, 768]=float:[8, 2]
("test_bert_batch_matmul_003_282", "batchmatmul_run",
((), 8, 2, 768, (2,), "float32", False, True, "batch_matmul_output")),
# float-float:[8, 768]-[768, 768]=float:[8, 768]
("test_bert_batch_matmul_003_283", "batchmatmul_run",
((), 8, 768, 768, (768,), "float32", False, False, "batch_matmul_output")),
]
def print_args():
cls = TestBert001()
cls.setup()
cls.print_args()
if __name__ == "__main__":
print_args()
| 72.136531
| 122
| 0.511929
| 59,493
| 470,763
| 3.853512
| 0.015279
| 0.064853
| 0.058432
| 0.04491
| 0.872353
| 0.779252
| 0.684812
| 0.617146
| 0.529794
| 0.449954
| 0
| 0.278996
| 0.256722
| 470,763
| 6,525
| 123
| 72.147586
| 0.376196
| 0.284103
| 0
| 0.059101
| 0
| 0
| 0.360395
| 0.081648
| 0
| 0
| 0
| 0
| 0
| 1
| 0.000555
| false
| 0
| 0.000832
| 0
| 0.001942
| 0.000832
| 0
| 0
| 0
| null | 0
| 0
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| 1
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
94a69150c1575ab028704d3f4ce4caebbd88bb7e
| 547
|
py
|
Python
|
armulator/armv6/all_registers/hsr.py
|
matan1008/armulator
|
04d24dcec6ab42326018f5e09331e5b4738d6b52
|
[
"MIT"
] | 16
|
2018-01-22T14:36:49.000Z
|
2021-12-17T15:39:52.000Z
|
armulator/armv6/all_registers/hsr.py
|
AhmedMounir/armulator
|
04d24dcec6ab42326018f5e09331e5b4738d6b52
|
[
"MIT"
] | 3
|
2019-02-19T17:51:47.000Z
|
2022-03-31T20:45:21.000Z
|
armulator/armv6/all_registers/hsr.py
|
AhmedMounir/armulator
|
04d24dcec6ab42326018f5e09331e5b4738d6b52
|
[
"MIT"
] | 4
|
2020-06-18T23:51:03.000Z
|
2022-02-09T17:43:13.000Z
|
from armulator.armv6.all_registers.abstract_register import AbstractRegister
class HSR(AbstractRegister):
"""
Hyp Syndrome Register
"""
def __init__(self):
super(HSR, self).__init__()
def set_ec(self, ec):
self.value[0:6] = ec
def get_ec(self):
return self.value[0:6]
def set_il(self, flag):
self.value[6] = flag
def get_il(self):
return self.value[6]
def set_iss(self, iss):
self.value[7:32] = iss
def get_iss(self):
return self.value[7:32]
| 18.862069
| 76
| 0.603291
| 77
| 547
| 4.077922
| 0.376623
| 0.171975
| 0.133758
| 0.181529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032746
| 0.274223
| 547
| 28
| 77
| 19.535714
| 0.758186
| 0.038391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4375
| false
| 0
| 0.0625
| 0.1875
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
94b2cf33a9a93272a1eb78a4b5d5116fcafa5e53
| 153
|
py
|
Python
|
src/polls/admin.py
|
joeyjojo-zz/django_offline
|
b5b94a0ea1d70b378da49329b2f4038baf648eb5
|
[
"MIT"
] | 1
|
2019-11-07T03:47:31.000Z
|
2019-11-07T03:47:31.000Z
|
src/polls/admin.py
|
joeyjojo-zz/django_offline
|
b5b94a0ea1d70b378da49329b2f4038baf648eb5
|
[
"MIT"
] | null | null | null |
src/polls/admin.py
|
joeyjojo-zz/django_offline
|
b5b94a0ea1d70b378da49329b2f4038baf648eb5
|
[
"MIT"
] | null | null | null |
__author__ = 'Jon'
from polls.models import Poll, Choice
from django.contrib import admin
admin.site.register(Poll)
admin.site.register(Choice)
| 19.125
| 38
| 0.75817
| 21
| 153
| 5.333333
| 0.619048
| 0.160714
| 0.303571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.150327
| 153
| 7
| 39
| 21.857143
| 0.861538
| 0
| 0
| 0
| 0
| 0
| 0.020548
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
94b9cbd51d9a08dadc0b8e24b28748061bde2503
| 381
|
py
|
Python
|
botovod/exceptions.py
|
OlegYurchik/botovod
|
20d7c97a4758ce280fcdc601e395b34c4f942a0f
|
[
"MIT"
] | 7
|
2018-09-03T11:03:55.000Z
|
2020-07-11T16:13:56.000Z
|
botovod/exceptions.py
|
OlegYurchik/botovod
|
20d7c97a4758ce280fcdc601e395b34c4f942a0f
|
[
"MIT"
] | null | null | null |
botovod/exceptions.py
|
OlegYurchik/botovod
|
20d7c97a4758ce280fcdc601e395b34c4f942a0f
|
[
"MIT"
] | 2
|
2019-09-03T12:09:40.000Z
|
2020-06-05T18:09:52.000Z
|
class BotovodException(Exception):
pass
class AgentException(BotovodException):
pass
class AgentNotExistException(BotovodException):
def __init__(self, name: str):
super().__init__(f"Botovod have not '{name}' agent")
self.name = name
class HandlerNotPassed(BotovodException):
def __init__(self):
super().__init__("Handler not passed")
| 21.166667
| 60
| 0.703412
| 38
| 381
| 6.631579
| 0.526316
| 0.071429
| 0.18254
| 0.214286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.191601
| 381
| 17
| 61
| 22.411765
| 0.818182
| 0
| 0
| 0.181818
| 0
| 0
| 0.128609
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.181818
| false
| 0.363636
| 0
| 0
| 0.545455
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
94d56eb554d12e80ee7afee8ea6ac34a7598937a
| 187
|
py
|
Python
|
util/functions.py
|
sooualil/atlas-feature-extraction-extension
|
d0f9284ff710d095b1b61c226a28de26f738dd0c
|
[
"BSD-3-Clause"
] | null | null | null |
util/functions.py
|
sooualil/atlas-feature-extraction-extension
|
d0f9284ff710d095b1b61c226a28de26f738dd0c
|
[
"BSD-3-Clause"
] | null | null | null |
util/functions.py
|
sooualil/atlas-feature-extraction-extension
|
d0f9284ff710d095b1b61c226a28de26f738dd0c
|
[
"BSD-3-Clause"
] | null | null | null |
from nfstream.flow import NFlow
def flow_to_dict(flow: NFlow):
return {key: getattr(flow.udps, key.split('.')[-1]) if 'udps.' in key else getattr(flow, key) for key in flow.keys()}
| 31.166667
| 121
| 0.68984
| 32
| 187
| 3.96875
| 0.59375
| 0.173228
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006289
| 0.149733
| 187
| 5
| 122
| 37.4
| 0.792453
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 4
|
94d837502065fdaf12de58c7fd66917aacf892db
| 78
|
py
|
Python
|
tgapppermissions/public/__init__.py
|
axant/tgapp-permissions
|
9d4d4a477d89ab865429e3c5043601185e58e7b6
|
[
"MIT"
] | 1
|
2021-01-13T07:19:43.000Z
|
2021-01-13T07:19:43.000Z
|
tgapppermissions/public/__init__.py
|
axant/tgapp-permissions
|
9d4d4a477d89ab865429e3c5043601185e58e7b6
|
[
"MIT"
] | null | null | null |
tgapppermissions/public/__init__.py
|
axant/tgapp-permissions
|
9d4d4a477d89ab865429e3c5043601185e58e7b6
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""Enable statics for the tgapp-permissions package"""
| 39
| 54
| 0.666667
| 10
| 78
| 5.2
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014706
| 0.128205
| 78
| 2
| 54
| 39
| 0.75
| 0.910256
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
a201395c2816b4ba2a735decfa67e7c30df5d93b
| 41
|
py
|
Python
|
concreate/version.py
|
rcernich/concreate
|
850d17835e859b2ac03e17f1635564ee0b1772aa
|
[
"MIT"
] | null | null | null |
concreate/version.py
|
rcernich/concreate
|
850d17835e859b2ac03e17f1635564ee0b1772aa
|
[
"MIT"
] | null | null | null |
concreate/version.py
|
rcernich/concreate
|
850d17835e859b2ac03e17f1635564ee0b1772aa
|
[
"MIT"
] | null | null | null |
version = "1.0.0dev0"
schema_version = 1
| 13.666667
| 21
| 0.707317
| 7
| 41
| 4
| 0.714286
| 0.571429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.146341
| 41
| 2
| 22
| 20.5
| 0.657143
| 0
| 0
| 0
| 0
| 0
| 0.219512
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bf8f1d40e65b42ff8456f7b9df8666e4368389ce
| 5,827
|
py
|
Python
|
carrentalsystem/crcapp/migrations/0002_auto_20180909_1600.py
|
ruchaidandev/car-rental-system-ifb299
|
478e955db4a8fe9e2dd434f4fa3e938e9bb32b46
|
[
"MIT"
] | 2
|
2020-03-28T20:05:42.000Z
|
2021-09-21T13:17:29.000Z
|
carrentalsystem/crcapp/migrations/0002_auto_20180909_1600.py
|
ruchaidandev/car-rental-system-ifb299
|
478e955db4a8fe9e2dd434f4fa3e938e9bb32b46
|
[
"MIT"
] | null | null | null |
carrentalsystem/crcapp/migrations/0002_auto_20180909_1600.py
|
ruchaidandev/car-rental-system-ifb299
|
478e955db4a8fe9e2dd434f4fa3e938e9bb32b46
|
[
"MIT"
] | null | null | null |
# Generated by Django 2.1.1 on 2018-09-09 06:00
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('crcapp', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='in',
name='storeID',
),
migrations.RemoveField(
model_name='in',
name='vehicleID',
),
migrations.RemoveField(
model_name='rents',
name='customerID',
),
migrations.RemoveField(
model_name='rents',
name='vehicleID',
),
migrations.RenameField(
model_name='customer',
old_name='Occupation',
new_name='occupation',
),
migrations.RenameField(
model_name='orderfor',
old_name='carID',
new_name='vehicleID',
),
migrations.AddField(
model_name='customer',
name='gender',
field=models.CharField(default='NA', max_length=2),
preserve_default=False,
),
migrations.AddField(
model_name='employee',
name='userType',
field=models.CharField(default='staff', max_length=16),
preserve_default=False,
),
migrations.AddField(
model_name='order',
name='orderType',
field=models.CharField(default='NA', max_length=16),
preserve_default=False,
),
migrations.AddField(
model_name='vehicle',
name='storeID',
field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='crcapp.Store'),
),
migrations.AlterField(
model_name='customer',
name='email',
field=models.EmailField(max_length=254, validators=[django.core.validators.EmailValidator()]),
),
migrations.AlterField(
model_name='customer',
name='password',
field=models.TextField(),
),
migrations.AlterField(
model_name='customer',
name='phoneNumber',
field=models.BigIntegerField(),
),
migrations.AlterField(
model_name='customer',
name='postCodeAddress',
field=models.IntegerField(max_length=10),
),
migrations.AlterField(
model_name='customer',
name='stateAddress',
field=models.CharField(max_length=30),
),
migrations.AlterField(
model_name='employee',
name='cityAddress',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='employee',
name='email',
field=models.EmailField(max_length=254, validators=[django.core.validators.EmailValidator()]),
),
migrations.AlterField(
model_name='employee',
name='password',
field=models.TextField(),
),
migrations.AlterField(
model_name='employee',
name='phoneNumber',
field=models.BigIntegerField(),
),
migrations.AlterField(
model_name='employee',
name='postCodeAddress',
field=models.IntegerField(max_length=10),
),
migrations.AlterField(
model_name='employee',
name='stateAddress',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='store',
name='city',
field=models.CharField(max_length=30),
),
migrations.AlterField(
model_name='store',
name='state',
field=models.CharField(max_length=30),
),
migrations.AlterField(
model_name='vehicle',
name='bodyType',
field=models.CharField(max_length=30),
),
migrations.AlterField(
model_name='vehicle',
name='fuelSystem',
field=models.CharField(max_length=20),
),
migrations.AlterField(
model_name='vehicle',
name='makeName',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='vehicle',
name='model',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='vehicle',
name='newPrice',
field=models.DecimalField(decimal_places=2, max_digits=10),
),
migrations.AlterField(
model_name='vehicle',
name='power',
field=models.IntegerField(max_length=5),
),
migrations.AlterField(
model_name='vehicle',
name='series',
field=models.CharField(max_length=50),
),
migrations.AlterField(
model_name='vehicle',
name='standardTransmission',
field=models.CharField(max_length=10),
),
migrations.AlterField(
model_name='vehicle',
name='tankcapacity',
field=models.DecimalField(decimal_places=1, max_digits=7),
),
migrations.AlterUniqueTogether(
name='inspects',
unique_together={('employeeID', 'vehicleID')},
),
migrations.AlterUniqueTogether(
name='orderfor',
unique_together={('orderID', 'vehicleID')},
),
migrations.DeleteModel(
name='In',
),
migrations.DeleteModel(
name='Rents',
),
]
| 30.830688
| 126
| 0.534409
| 479
| 5,827
| 6.361169
| 0.221294
| 0.094519
| 0.180505
| 0.209386
| 0.698392
| 0.648179
| 0.527076
| 0.448638
| 0.448638
| 0.362652
| 0
| 0.016333
| 0.34855
| 5,827
| 188
| 127
| 30.994681
| 0.786354
| 0.007723
| 0
| 0.747253
| 1
| 0
| 0.107093
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.010989
| 0.016484
| 0
| 0.032967
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bf99effeb6eda6a3fcd274416980586084d1254e
| 173
|
py
|
Python
|
algorithms_and_data_structures/algorithms/math/operation/numeric/factorial/factorial_reduce.py
|
JCPedroza/algorithms-and-data-structures-py
|
e8532060e82bb7f56d667c587469dea2921117df
|
[
"MIT"
] | 2
|
2022-01-14T01:33:24.000Z
|
2022-01-14T03:23:41.000Z
|
algorithms_and_data_structures/algorithms/math/operation/numeric/factorial/factorial_reduce.py
|
JCPedroza/algorithms-and-data-structures-py
|
e8532060e82bb7f56d667c587469dea2921117df
|
[
"MIT"
] | 1
|
2022-01-14T03:26:58.000Z
|
2022-01-14T03:26:58.000Z
|
algorithms_and_data_structures/algorithms/math/operation/numeric/factorial/factorial_reduce.py
|
JCPedroza/algorithms-and-data-structures-py
|
e8532060e82bb7f56d667c587469dea2921117df
|
[
"MIT"
] | 1
|
2022-01-14T03:23:45.000Z
|
2022-01-14T03:23:45.000Z
|
from functools import reduce
from operator import mul
def factorial(num: int) -> int:
return reduce(mul, range(1, num + 1), 1)
algorithm = factorial
name = 'reduce'
| 15.727273
| 44
| 0.699422
| 25
| 173
| 4.84
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021583
| 0.196532
| 173
| 10
| 45
| 17.3
| 0.848921
| 0
| 0
| 0
| 0
| 0
| 0.034682
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.333333
| 0.166667
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
449db21bbf037cd212c141976f278ba2287954ad
| 434
|
py
|
Python
|
jogos/atividade01.py
|
joaov30/Python
|
e2c5eda9583ecd9ad7a9290c7d367efe8e27a7e4
|
[
"MIT"
] | null | null | null |
jogos/atividade01.py
|
joaov30/Python
|
e2c5eda9583ecd9ad7a9290c7d367efe8e27a7e4
|
[
"MIT"
] | null | null | null |
jogos/atividade01.py
|
joaov30/Python
|
e2c5eda9583ecd9ad7a9290c7d367efe8e27a7e4
|
[
"MIT"
] | null | null | null |
print("Jogo da advinhação")
print("******************")
numero_secreto = 30
palpite_str = input("Digite o seu palpite: ")
palpite = int(palpite_str)
maior = palpite > numero_secreto
menor = palpite < numero_secreto
if palpite == numero_secreto:
print("Você acertou!")
elif maior:
print("Seu palpite ultrapassou o numero secreto")
elif menor:
print("Seu palpite foi menor do que o numero secreto")
print("Game Over")
| 20.666667
| 58
| 0.691244
| 58
| 434
| 5.068966
| 0.448276
| 0.265306
| 0.204082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005525
| 0.165899
| 434
| 21
| 59
| 20.666667
| 0.80663
| 0
| 0
| 0
| 0
| 0
| 0.37931
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.071429
| 0
| 0
| 0
| 0.428571
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 4
|
44d49c21964ace5c9cb8764b9d73d6f202a5b9d5
| 421
|
py
|
Python
|
products/admin.py
|
benrpinto/ausimin
|
37d9879a729f637ff03d030168904737fd415776
|
[
"MIT"
] | null | null | null |
products/admin.py
|
benrpinto/ausimin
|
37d9879a729f637ff03d030168904737fd415776
|
[
"MIT"
] | null | null | null |
products/admin.py
|
benrpinto/ausimin
|
37d9879a729f637ff03d030168904737fd415776
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import CertContent
from .models import ProductContent
from .models import UsesContent
from .models import ProductButton
from home.admin import ContentAdmin
# Register your models here.
admin.site.register(CertContent,ContentAdmin)
admin.site.register(ProductContent,ContentAdmin)
admin.site.register(UsesContent,ContentAdmin)
admin.site.register(ProductButton,ContentAdmin)
| 32.384615
| 48
| 0.852732
| 50
| 421
| 7.18
| 0.32
| 0.111421
| 0.178273
| 0.24234
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08076
| 421
| 12
| 49
| 35.083333
| 0.927649
| 0.061758
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
782f20f87f054893fe0b3663cdc2e96aab33c297
| 99
|
py
|
Python
|
server/club/club_games/apps.py
|
Jesterboxboy/mahjong-portal
|
c09362d69a81e81ed30c9159f3a35f9e9def4ac3
|
[
"MIT"
] | 10
|
2018-02-12T10:30:22.000Z
|
2020-06-29T21:06:15.000Z
|
server/club/club_games/apps.py
|
Jesterboxboy/mahjong-portal
|
c09362d69a81e81ed30c9159f3a35f9e9def4ac3
|
[
"MIT"
] | 62
|
2018-01-05T04:52:38.000Z
|
2021-04-10T07:14:45.000Z
|
server/club/club_games/apps.py
|
MahjongRepository/mahjong-leaderboard
|
77dfd26cb812c12fa7c2b11e862bb80a9135ccb0
|
[
"MIT"
] | 8
|
2018-05-11T11:05:41.000Z
|
2021-03-10T08:10:50.000Z
|
from django.apps import AppConfig
class ClubGamesConfig(AppConfig):
name = "club.club_games"
| 16.5
| 33
| 0.767677
| 12
| 99
| 6.25
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151515
| 99
| 5
| 34
| 19.8
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0.151515
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
78671f305aa338b25686abe5c1445aea2be4edee
| 327
|
py
|
Python
|
run.py
|
ColombiaPython/meetup-api-python-groups
|
ff2bbb7e8991e519c29c1cc73b55e31e1106bff0
|
[
"MIT"
] | 1
|
2017-12-07T17:15:20.000Z
|
2017-12-07T17:15:20.000Z
|
run.py
|
jhonjairoroa87/meetup-api-python-groups
|
ff2bbb7e8991e519c29c1cc73b55e31e1106bff0
|
[
"MIT"
] | 1
|
2018-07-11T23:04:15.000Z
|
2018-07-11T23:11:35.000Z
|
run.py
|
ColombiaPython/meetup-api-python-groups
|
ff2bbb7e8991e519c29c1cc73b55e31e1106bff0
|
[
"MIT"
] | 2
|
2017-05-09T20:14:19.000Z
|
2018-01-24T19:16:51.000Z
|
from app.python_groups import process_python_group_by_location
def process_python_groups():
# process colombia info from meetup api
process_python_group_by_location("CO")
# process latam info from meetup api
process_python_group_by_location("LATAM")
if __name__ == "__main__":
process_python_groups()
| 21.8
| 62
| 0.7737
| 44
| 327
| 5.181818
| 0.431818
| 0.285088
| 0.236842
| 0.263158
| 0.517544
| 0.394737
| 0.394737
| 0.394737
| 0.394737
| 0
| 0
| 0
| 0.16208
| 327
| 14
| 63
| 23.357143
| 0.832117
| 0.220183
| 0
| 0
| 0
| 0
| 0.059524
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.166667
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
78723675fbe83719caf251a95d0dda3183d74981
| 24
|
py
|
Python
|
src/tutorial/projects/add_sat/build/clock_constraints.py
|
dtantalidis2002/davidthings-spokefpga
|
78eee11505b406f4a7972afd95e9eceae61159d4
|
[
"Apache-2.0"
] | 41
|
2019-11-05T09:50:49.000Z
|
2022-03-30T20:38:18.000Z
|
src/tutorial/projects/add_sat/build/clock_constraints.py
|
dtantalidis2002/davidthings-spokefpga
|
78eee11505b406f4a7972afd95e9eceae61159d4
|
[
"Apache-2.0"
] | 1
|
2020-11-15T20:05:16.000Z
|
2020-11-29T16:52:28.000Z
|
src/tutorial/projects/add_sat/build/clock_constraints.py
|
dtantalidis2002/davidthings-spokefpga
|
78eee11505b406f4a7972afd95e9eceae61159d4
|
[
"Apache-2.0"
] | 2
|
2020-08-04T03:32:05.000Z
|
2021-10-19T07:33:26.000Z
|
ctx.addClock("clk", 8 )
| 12
| 23
| 0.625
| 4
| 24
| 3.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.047619
| 0.125
| 24
| 1
| 24
| 24
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
789b2f71a97b501baeac7d8a8d86aa2bb31fbe4f
| 22
|
py
|
Python
|
pyairctrl/__init__.py
|
GSzabados/py-air-control
|
121be67168f2d395cda5ef93b6d703a00adf3ac6
|
[
"MIT"
] | 203
|
2019-01-19T09:45:31.000Z
|
2022-03-15T06:42:11.000Z
|
pyairctrl/__init__.py
|
GSzabados/py-air-control
|
121be67168f2d395cda5ef93b6d703a00adf3ac6
|
[
"MIT"
] | 86
|
2019-02-12T22:21:44.000Z
|
2022-03-28T16:11:45.000Z
|
pyairctrl/__init__.py
|
GSzabados/py-air-control
|
121be67168f2d395cda5ef93b6d703a00adf3ac6
|
[
"MIT"
] | 56
|
2019-01-28T07:10:48.000Z
|
2022-02-09T10:17:38.000Z
|
"""py-air-control."""
| 11
| 21
| 0.545455
| 3
| 22
| 4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.045455
| 22
| 1
| 22
| 22
| 0.571429
| 0.681818
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
78c4f9e0af2b4ffb34e95cf14ebbe93bb1b4c91f
| 72
|
py
|
Python
|
pycells/__init__.py
|
timfi/pycells
|
8c53d6f3dcd87ade101a43a28e2b1d89d0257815
|
[
"Unlicense"
] | 1
|
2020-08-12T16:56:31.000Z
|
2020-08-12T16:56:31.000Z
|
pycells/__init__.py
|
tim-fi/pycells
|
8c53d6f3dcd87ade101a43a28e2b1d89d0257815
|
[
"Unlicense"
] | 5
|
2021-03-19T11:07:10.000Z
|
2022-03-12T00:16:43.000Z
|
pycells/__init__.py
|
timfi/pycells
|
8c53d6f3dcd87ade101a43a28e2b1d89d0257815
|
[
"Unlicense"
] | null | null | null |
from .simulations import count, pattern
__all__ = ("count", "pattern")
| 18
| 39
| 0.722222
| 8
| 72
| 6
| 0.75
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 72
| 3
| 40
| 24
| 0.774194
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
78c8722aaa289d3f9f964df329b40506aaa886f9
| 9,936
|
py
|
Python
|
tests/test_enhance_command.py
|
lukasbindreiter/white-brush
|
67e5dcda8043f2d7bba440bcb9a84c2fa85ec9ba
|
[
"MIT"
] | 3
|
2018-04-27T23:04:04.000Z
|
2019-11-01T02:54:45.000Z
|
tests/test_enhance_command.py
|
lukasbindreiter/white-brush
|
67e5dcda8043f2d7bba440bcb9a84c2fa85ec9ba
|
[
"MIT"
] | 33
|
2018-04-29T15:12:29.000Z
|
2022-01-19T21:44:19.000Z
|
tests/test_enhance_command.py
|
lukasbindreiter/white-brush
|
67e5dcda8043f2d7bba440bcb9a84c2fa85ec9ba
|
[
"MIT"
] | 2
|
2018-06-16T17:09:25.000Z
|
2020-01-14T01:23:34.000Z
|
import pathlib
import unittest
from white_brush.commands.enhance_command import EnhanceCommand
from white_brush.entities.color_configuration import ColorConfiguration
from white_brush.entities.enhancement_configuration import EnhancementConfiguration
class TestEnhanceCommand(unittest.TestCase):
# region execute
def test_execute_given_file_enhancement_configuration_should_call_service(self):
"""
Given
valid file
When
CommandParser.parse_args() is called
Then
Enhance service should be called.
"""
# Arrange
files = ['../.pytest_cache/testfile1.png']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
f = open(files[0], "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
def test_execute_given_multiple_files_enhancement_configuration_should_call_service(self):
"""
Given
valid files
When
CommandParser.parse_args() is called
Then
Enhance service should be called for each file.
"""
# Arrange
files = ['../.pytest_cache/testfile1.png', '../.pytest_cache/testfile2.png', '../.pytest_cache/testfile3.png']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
for i in range(1, 3):
f = open(files[i], "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
self.assertEqual(3, mocked_enhance_service.called_counter)
def test_execute_given_files_and_directories_enhancement_configuration_should_call_service(self):
"""
Given
valid files and subdirectories without recursive tag.
When
CommandParser.parse_args() is called
Then
Enhance service with all files and only files in the first sub diretory should be called.
"""
# Arrange
files = ['../.pytest_cache/testfile1.png', '../.pytest_cache/testdirectory']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
pathlib.Path(files[1]).mkdir(parents=True, exist_ok=True)
f = open(files[1] + "/sample.jpg", "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
self.assertEqual(2, mocked_enhance_service.called_counter)
def test_execute_given_files_and_subdirectories_configuration_should_call_service(self):
"""
Given
valid files and subdirectories with recursive tag.
When
CommandParser.parse_args() is called
Then
Enhance service with all files and not directories should be called.
"""
# Arrange
files = ['../.pytest_cache/testfile1.png', '../.pytest_cache/testdirectory']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
enhance_configuration.recursive = True
enhance_configuration.foreground_color = "#fore"
enhance_configuration.background_color = "#back"
expected_foreground = "#fore"
expected_background = "#back"
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
pathlib.Path(files[1]).mkdir(parents=True, exist_ok=True)
f = open(files[1] + "/sample.jpg", "w+")
f.write("Hello World")
f.close()
pathlib.Path(files[1] + "/subtestdirectory").mkdir(parents=True, exist_ok=True)
f = open(files[1] + "/subtestdirectory/subsample.jpg", "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
self.assertEqual(3, mocked_enhance_service.called_counter)
self.assertEqual(expected_foreground, mocked_enhance_service.called_color_configuration.foreground_color)
self.assertEqual(expected_background, mocked_enhance_service.called_color_configuration.background_color)
def test_execute_given_files_and_convert_should_call_service(self):
"""
Given
valid files and replace file tag
When
CommandParser.parse_args() is called
Then
Enhance service with the same file names should be called.
"""
# Arrange
files = ['../.pytest_cache/testfile1.png', '../.pytest_cache/testfile2.png', '../.pytest_cache/testfile3.png']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
enhance_configuration.replace_files = True
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
for i in range(1, 3):
f = open(files[i], "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
self.assertEqual(3, mocked_enhance_service.called_counter)
self.assertEqual(3, mocked_enhance_service.same_file_name_amount)
def test_execute_given_files_and_existing_target_should_call_service(self):
"""
Given
valid file and existing target file
When
CommandParser.parse_args() is called
Then
Enhance service should be called.
"""
# Arrange
files = ['../.pytest_cache/testfile5.png']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
f = open("../.pytest_cache/testfile5_brushed.png", "w+")
f.write("Hello World")
f.close()
f = open("../.pytest_cache/testfile5.png", "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
self.assertEqual(1, mocked_enhance_service.called_counter)
def test_execute_given_nonexistent_file_should_raise_exception(self):
"""
Given
a nonexisting file as parameter
When
EnhanceCommand.execute() is called
Then
Enhance service should never be called
"""
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
nonexistent_files = ["i_do_not_exist.png"]
class_under_test.execute(nonexistent_files)
self.assertFalse(mocked_enhance_service.called)
self.assertEqual(0, mocked_enhance_service.called_counter)
def test_execute_given_rotation_value_should_call_service_with(self):
"""
Given
a file and rotation as parameter
When
EnhanceCommand.execute() is called
Then
Enhance service should be called with correct rotation.
"""
# Arrange
files = ['../.pytest_cache/testfile5.png']
mocked_enhance_service = MockedEnhanceService()
class_under_test = EnhanceCommand(mocked_enhance_service)
enhance_configuration = EnhancementConfiguration()
enhance_configuration.rotation = 180
expected_rotation = 180
# Act
pathlib.Path("../.pytest_cache").mkdir(parents=True, exist_ok=True)
f = open("../.pytest_cache/testfile5_brushed.png", "w+")
f.write("Hello World")
f.close()
f = open("../.pytest_cache/testfile5.png", "w+")
f.write("Hello World")
f.close()
class_under_test.execute(files, enhance_configuration)
# Assert
self.assertTrue(mocked_enhance_service.called)
self.assertEqual(expected_rotation, mocked_enhance_service.rotation)
# endregion
# region Helper
class MockedEnhanceService:
def __init__(self):
self.called = False
self.called_counter = 0
self.rotation = 0
self.called_color_configuration = ColorConfiguration()
self.same_file_name_amount = 0
def enhance_file(self, input_file_name, output_file_name, rotation, color_configuration):
self.called = True
self.rotation = rotation
self.called_counter += 1
self.called_color_configuration = color_configuration
if input_file_name == output_file_name:
self.same_file_name_amount += 1
if __name__ == '__main__':
unittest.main()
# endregion
| 37.213483
| 118
| 0.647544
| 1,034
| 9,936
| 5.933269
| 0.128627
| 0.095844
| 0.110839
| 0.067808
| 0.766748
| 0.759576
| 0.717522
| 0.711817
| 0.695192
| 0.664385
| 0
| 0.006008
| 0.262882
| 9,936
| 266
| 119
| 37.353383
| 0.831649
| 0.143116
| 0
| 0.620438
| 0
| 0
| 0.112914
| 0.071146
| 0
| 0
| 0
| 0
| 0.131387
| 1
| 0.072993
| false
| 0
| 0.036496
| 0
| 0.124088
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
152737444997052829ec3eb1b82bc4ac11880afd
| 614
|
py
|
Python
|
python/p018.py
|
ericdahl/project-euler
|
4757e2c44ca9423471b2938fc1e3dd1796f000b3
|
[
"BSD-3-Clause"
] | null | null | null |
python/p018.py
|
ericdahl/project-euler
|
4757e2c44ca9423471b2938fc1e3dd1796f000b3
|
[
"BSD-3-Clause"
] | 1
|
2016-01-18T02:02:50.000Z
|
2016-01-18T02:02:50.000Z
|
python/p018.py
|
ericdahl/project-euler
|
4757e2c44ca9423471b2938fc1e3dd1796f000b3
|
[
"BSD-3-Clause"
] | null | null | null |
t = '''
75
95 64
17 47 82
18 35 87 10
20 04 82 47 65
19 01 23 75 03 34
88 02 77 73 07 63 67
99 65 04 28 06 16 70 92
41 41 26 56 83 40 80 70 33
41 48 72 33 47 32 37 16 94 29
53 71 44 65 25 43 91 52 97 51 14
70 11 33 28 77 73 17 78 39 68 17 57
91 71 52 38 17 14 91 43 58 50 27 29 48
63 66 04 68 89 53 67 30 73 16 69 87 40 31
04 62 98 27 23 09 70 98 73 93 38 53 60 04 23
'''.strip()
t = [[int(i) for i in line.split(' ')] for line in t.split('\n')]
def f(row, col):
if row + 1 == len(t):
return t[row][col]
else:
return t[row][col] + max(f(row + 1, col), f(row + 1, col + 1))
print f(0, 0)
| 21.928571
| 70
| 0.586319
| 168
| 614
| 2.142857
| 0.559524
| 0.033333
| 0.055556
| 0.072222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.58156
| 0.311075
| 614
| 28
| 71
| 21.928571
| 0.269504
| 0
| 0
| 0
| 0
| 0
| 0.592834
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.041667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1564336ed3d93f1dec4925103519691bef5596c3
| 142
|
py
|
Python
|
validation_tests/analytical_exact/runup_on_beach/produce_results.py
|
samcom12/anuga_core
|
f4378114dbf02d666fe6423de45798add5c42806
|
[
"Python-2.0",
"OLDAP-2.7"
] | 136
|
2015-05-07T05:47:43.000Z
|
2022-02-16T03:07:40.000Z
|
validation_tests/analytical_exact/runup_on_beach/produce_results.py
|
samcom12/anuga_core
|
f4378114dbf02d666fe6423de45798add5c42806
|
[
"Python-2.0",
"OLDAP-2.7"
] | 184
|
2015-05-03T09:27:54.000Z
|
2021-12-20T04:22:48.000Z
|
validation_tests/analytical_exact/runup_on_beach/produce_results.py
|
samcom12/anuga_core
|
f4378114dbf02d666fe6423de45798add5c42806
|
[
"Python-2.0",
"OLDAP-2.7"
] | 70
|
2015-03-18T07:35:22.000Z
|
2021-11-01T07:07:29.000Z
|
import anuga
from anuga.validation_utilities import produce_report
args = anuga.get_args()
produce_report('numerical_runup.py', args=args)
| 17.75
| 53
| 0.816901
| 20
| 142
| 5.55
| 0.6
| 0.234234
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098592
| 142
| 7
| 54
| 20.285714
| 0.867188
| 0
| 0
| 0
| 0
| 0
| 0.12766
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1581d3e4d8d0bce83c3db9ff7426baf2890341bc
| 45
|
py
|
Python
|
my_package/sub_package2/__init__.py
|
almoniplon/new_repos
|
b71235662fa8910286e9d0523b0a3dee46259e9b
|
[
"MIT"
] | null | null | null |
my_package/sub_package2/__init__.py
|
almoniplon/new_repos
|
b71235662fa8910286e9d0523b0a3dee46259e9b
|
[
"MIT"
] | null | null | null |
my_package/sub_package2/__init__.py
|
almoniplon/new_repos
|
b71235662fa8910286e9d0523b0a3dee46259e9b
|
[
"MIT"
] | null | null | null |
__all__ = ['module_pck2_a', 'module_pck2_b']
| 22.5
| 44
| 0.733333
| 7
| 45
| 3.571429
| 0.714286
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04878
| 0.088889
| 45
| 1
| 45
| 45
| 0.560976
| 0
| 0
| 0
| 0
| 0
| 0.577778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1587732bf38d4e8a8d1ec74538939a97b6913731
| 155
|
py
|
Python
|
src/data/get_data.py
|
BIOF309/group-project-jcl
|
84914637d512c8d9aca1d146cd72411822a41dbe
|
[
"MIT"
] | 1
|
2018-12-05T03:47:45.000Z
|
2018-12-05T03:47:45.000Z
|
src/data/get_data.py
|
BIOF309/group-project-jcl
|
84914637d512c8d9aca1d146cd72411822a41dbe
|
[
"MIT"
] | null | null | null |
src/data/get_data.py
|
BIOF309/group-project-jcl
|
84914637d512c8d9aca1d146cd72411822a41dbe
|
[
"MIT"
] | null | null | null |
url = 'https://www.kaggle.com/c/forest-cover-type-kernels-only/download/train.csv'
from urllib.request import urlretrieve
urlretrieve(url, 'train.csv')
| 22.142857
| 82
| 0.767742
| 23
| 155
| 5.173913
| 0.826087
| 0.134454
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.077419
| 155
| 6
| 83
| 25.833333
| 0.832168
| 0
| 0
| 0
| 0
| 0.333333
| 0.538961
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
158dc869c74d22f9b74fffbdca492c7c12fbee0d
| 179
|
py
|
Python
|
userlog/apps.py
|
aaugustin/django-userlog
|
6cd34d0a319f6a954fec74420d0d391c32c46060
|
[
"BSD-3-Clause"
] | 53
|
2015-01-04T17:53:40.000Z
|
2021-07-27T06:53:19.000Z
|
userlog/apps.py
|
aaugustin/django-userlog
|
6cd34d0a319f6a954fec74420d0d391c32c46060
|
[
"BSD-3-Clause"
] | 1
|
2015-07-04T11:42:45.000Z
|
2015-07-04T11:42:45.000Z
|
userlog/apps.py
|
aaugustin/django-userlog
|
6cd34d0a319f6a954fec74420d0d391c32c46060
|
[
"BSD-3-Clause"
] | 8
|
2015-09-05T08:03:32.000Z
|
2020-02-28T08:48:13.000Z
|
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
class UserLogConfig(AppConfig):
name = 'userlog'
verbose_name = _("User logs")
| 22.375
| 55
| 0.759777
| 22
| 179
| 6
| 0.772727
| 0.151515
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162011
| 179
| 7
| 56
| 25.571429
| 0.88
| 0
| 0
| 0
| 0
| 0
| 0.089385
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
159997060986bdb394ebfe90c7834eb6d37ba52c
| 65
|
py
|
Python
|
processors/tweet_grabber.py
|
brianhouse/okavango
|
4006940ddead3f31eea701efb9b9dcdc7b19402e
|
[
"MIT"
] | 2
|
2015-01-25T06:20:03.000Z
|
2015-02-15T23:54:41.000Z
|
processors/tweet_grabber.py
|
brianhouse/okavango_15
|
4006940ddead3f31eea701efb9b9dcdc7b19402e
|
[
"MIT"
] | null | null | null |
processors/tweet_grabber.py
|
brianhouse/okavango_15
|
4006940ddead3f31eea701efb9b9dcdc7b19402e
|
[
"MIT"
] | 3
|
2017-11-14T21:18:23.000Z
|
2021-06-20T21:08:31.000Z
|
#!/usr/bin/env python3
from ingest import tweet
tweet.main()
| 8.125
| 24
| 0.707692
| 10
| 65
| 4.6
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018519
| 0.169231
| 65
| 7
| 25
| 9.285714
| 0.833333
| 0.323077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
15b0ba077ead286ae2eb750257078696bb6f735f
| 175
|
py
|
Python
|
admin/preprints/forms.py
|
gaybro8777/osf.io
|
30408511510a40bc393565817b343ef5fd76ab14
|
[
"Apache-2.0"
] | 628
|
2015-01-15T04:33:22.000Z
|
2022-03-30T06:40:10.000Z
|
admin/preprints/forms.py
|
gaybro8777/osf.io
|
30408511510a40bc393565817b343ef5fd76ab14
|
[
"Apache-2.0"
] | 4,712
|
2015-01-02T01:41:53.000Z
|
2022-03-30T14:18:40.000Z
|
admin/preprints/forms.py
|
Johnetordoff/osf.io
|
de10bf249c46cede04c78f7e6f7e352c69e6e6b5
|
[
"Apache-2.0"
] | 371
|
2015-01-12T16:14:08.000Z
|
2022-03-31T18:58:29.000Z
|
from django import forms
from osf.models import Preprint
class ChangeProviderForm(forms.ModelForm):
class Meta:
model = Preprint
fields = ('provider',)
| 17.5
| 42
| 0.691429
| 19
| 175
| 6.368421
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.234286
| 175
| 9
| 43
| 19.444444
| 0.902985
| 0
| 0
| 0
| 0
| 0
| 0.045714
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
ec60adfab97103d9abf852324d8bbcbe934493fb
| 1,013
|
py
|
Python
|
inventory/migrations/0011_remove_membership_group_remove_membership_inviter_and_more.py
|
brkyavuz/webnet
|
0204214e138acb051a15e5d5b9ffbdc53d4a7691
|
[
"MIT"
] | null | null | null |
inventory/migrations/0011_remove_membership_group_remove_membership_inviter_and_more.py
|
brkyavuz/webnet
|
0204214e138acb051a15e5d5b9ffbdc53d4a7691
|
[
"MIT"
] | null | null | null |
inventory/migrations/0011_remove_membership_group_remove_membership_inviter_and_more.py
|
brkyavuz/webnet
|
0204214e138acb051a15e5d5b9ffbdc53d4a7691
|
[
"MIT"
] | null | null | null |
# Generated by Django 4.0.3 on 2022-03-24 15:17
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('inventory', '0010_publication_article'),
]
operations = [
migrations.RemoveField(
model_name='membership',
name='group',
),
migrations.RemoveField(
model_name='membership',
name='inviter',
),
migrations.RemoveField(
model_name='membership',
name='person',
),
migrations.RemoveField(
model_name='pgroup',
name='members',
),
migrations.DeleteModel(
name='Article',
),
migrations.DeleteModel(
name='Membership',
),
migrations.DeleteModel(
name='Person',
),
migrations.DeleteModel(
name='PGroup',
),
migrations.DeleteModel(
name='Publication',
),
]
| 22.511111
| 50
| 0.509378
| 75
| 1,013
| 6.8
| 0.453333
| 0.205882
| 0.245098
| 0.235294
| 0.258824
| 0.258824
| 0
| 0
| 0
| 0
| 0
| 0.030207
| 0.379072
| 1,013
| 44
| 51
| 23.022727
| 0.780604
| 0.044423
| 0
| 0.552632
| 1
| 0
| 0.138716
| 0.024845
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.026316
| 0
| 0.105263
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ec6d16bd6f033ab5121843642e710458ab86fc18
| 5,745
|
py
|
Python
|
francesco/src/preprocessing/data_loader.py
|
vaibhavi5/PialNet
|
c55a4af76cf0caf6251907a8e782e90da691dcc1
|
[
"BSD-3-Clause"
] | null | null | null |
francesco/src/preprocessing/data_loader.py
|
vaibhavi5/PialNet
|
c55a4af76cf0caf6251907a8e782e90da691dcc1
|
[
"BSD-3-Clause"
] | null | null | null |
francesco/src/preprocessing/data_loader.py
|
vaibhavi5/PialNet
|
c55a4af76cf0caf6251907a8e782e90da691dcc1
|
[
"BSD-3-Clause"
] | null | null | null |
import glob
import nibabel as nib
import numpy as np
from tf_utils import misc, TFRecordsManager
def create_TF_records(data_path):
base_path = misc.get_base_path(training=False)
TFManager = TFRecordsManager()
data_purposes = ["train", "val"]
data_purposes += ["test-" + str(threshold) for threshold in range(400, 1000, 100)]
params = {"data_purposes": data_purposes, "data_keys": {"x": "float32", "y": "float32"}}
TFRecords_path = misc.create_TF_records_folder(base_path + data_path, data_purposes)
misc.save_json(TFRecords_path + "params.json", params)
for data_purpose in data_purposes:
if "test" not in data_purpose:
x_files = glob.glob(base_path + data_path + data_purpose + "/raw/*")
y_files = glob.glob(base_path + data_path + data_purpose + "/seg/*")
else:
x_files = glob.glob(base_path + data_path + "test/raw/*")
y_files = glob.glob(base_path + data_path + "test/seg/*")
x_files.sort()
y_files.sort()
assert (len(x_files) == len(y_files))
data = []
for i in range(len(x_files)):
x = nib.load(x_files[i]).get_fdata()
y = nib.load(y_files[i]).get_fdata()
if "train" == data_purpose or "val" == data_purpose:
assert (x.max() == 255. and x.min() == 0. and y.max() == 1.0 and y.min() == 0.)
x = x / 255.
assert (x.max() == 1. and x.min() == 0.)
x_patches = misc.make_patches(x, [(29, 30), (40, 40), (20, 20)], 128)
y_patches = misc.make_patches(y, [(29, 30), (40, 40), (20, 20)], 128)
assert (len(x_patches) == len(y_patches))
for k in range(len(x_patches)):
data.append({"x": np.float32(np.expand_dims(x_patches[k], -1)), "y": np.float32(y_patches[k])})
elif "test" in data_purpose:
x = np.pad(x, [(28, 27), (3, 2), (38, 38)], 'constant')
y = np.pad(y, [(28, 27), (3, 2), (38, 38)], 'constant')
data.append({"x": np.float32(np.expand_dims((np.copy(x) / float(data_purpose.split("-")[1])), -1)), "y": np.float32(y)})
else:
raise NotImplementedError(data_purpose)
TFManager.save_record(TFRecords_path + data_purpose + "/0", data)
del data
def create_TF_records_augmented_data(data_path):
base_path = misc.get_base_path(training=False)
TFManager = TFRecordsManager()
data_purposes = ["train_aug", "val_aug"]
data_purposes += ["test-" + str(threshold) for threshold in range(400, 1000, 100)]
params = {"data_purposes": data_purposes, "data_keys": {"x": "float32", "y": "float32"}}
TFRecords_path = misc.create_TF_records_folder(base_path + data_path, data_purposes)
misc.save_json(TFRecords_path + "params.json", params)
for data_purpose in data_purposes:
if "test" not in data_purpose:
x_files = glob.glob(base_path + data_path + data_purpose + "/aug/*")
y_files = glob.glob(base_path + data_path + data_purpose + "/aug_seg/*")
else:
x_files = glob.glob(base_path + data_path + "test/raw/*")
y_files = glob.glob(base_path + data_path + "test/seg/*")
x_files.sort()
y_files.sort()
assert (len(x_files) == len(y_files))
data = []
for i in range(len(x_files)):
x = nib.load(x_files[i]).get_fdata()
y = nib.load(y_files[i]).get_fdata()
if "train" in data_purpose or "val" in data_purpose:
assert (x.shape[0] == 163 and x.shape[1] == 152 and x.shape[2] == 300)
assert (y.shape[0] == 163 and y.shape[1] == 152 and y.shape[2] == 300)
x = x / 255.
x_patches = misc.make_patches(x, [(47, 46), (52, 52), (42, 42)], 128)
y_patches = misc.make_patches(y, [(47, 46), (52, 52), (42, 42)], 128)
assert (len(x_patches) == len(y_patches))
for k in range(len(x_patches)):
data.append({"x": np.float32(np.expand_dims(x_patches[k], -1)), "y": np.float32(y_patches[k])})
elif "test" in data_purpose:
x = np.pad(x, [(28, 27), (3, 2), (38, 38)], 'constant')
y = np.pad(y, [(28, 27), (3, 2), (38, 38)], 'constant')
data.append({"x": np.float32(np.expand_dims((np.copy(x) / float(data_purpose.split("-")[1])), -1)), "y": np.float32(y)})
else:
raise NotImplementedError(data_purpose)
TFManager.save_record(TFRecords_path + data_purpose + "/0", data)
del data
def load_testing_volume(base_path, input_path, label_path):
input_volume = nib.load(base_path + input_path)
x = input_volume.get_fdata()
if "zipCor" in input_path:
assert(x.shape[0] == 1090 and x.shape[1] == 1277 and x.shape[2] == 52)
pad = [(31, 31), (2, 1), (38, 38)]
x = np.pad(x, pad, 'constant')
elif "biasCor.nii" in input_path:
assert (x.shape[0] == 1090 and x.shape[1] == 1280 and x.shape[2] == 52)
pad = [(31, 31), (0, 0), (38, 38)]
x = np.pad(x, pad, 'constant')
elif "imageData" in input_path:
pad = [(28, 27), (3, 2), (38, 38)]
x = np.pad(x, pad, 'constant')
x = np.float32(np.array([np.expand_dims(x, -1)]))
assert (len(x.shape) == 5 and x.shape[0] == 1 and x.shape[-1] == 1)
if label_path is not None:
y = np.pad(nib.load(base_path + label_path).get_fdata(), [(28, 27), (3, 2), (38, 38)], 'constant')
y = np.float32(np.array([np.expand_dims(y, -1)]))
else:
y = None
return x, y, input_volume.affine, input_volume.header, pad
| 43.522727
| 136
| 0.561184
| 836
| 5,745
| 3.66866
| 0.141148
| 0.071731
| 0.039126
| 0.052168
| 0.787088
| 0.787088
| 0.769482
| 0.718618
| 0.699054
| 0.674275
| 0
| 0.06387
| 0.269626
| 5,745
| 131
| 137
| 43.854962
| 0.667064
| 0
| 0
| 0.615385
| 0
| 0
| 0.058486
| 0
| 0
| 0
| 0
| 0
| 0.105769
| 1
| 0.028846
| false
| 0
| 0.038462
| 0
| 0.076923
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
019f744769b140d4fc9f75415ed11e2ae94ec398
| 124
|
py
|
Python
|
fetchers/models/Job.py
|
OneStarSolution/prometeo
|
ed2d534600c0c6207c6d351c54bd3307d15a7859
|
[
"MIT"
] | null | null | null |
fetchers/models/Job.py
|
OneStarSolution/prometeo
|
ed2d534600c0c6207c6d351c54bd3307d15a7859
|
[
"MIT"
] | 1
|
2021-05-06T16:48:52.000Z
|
2021-05-06T16:48:52.000Z
|
fetchers/models/Job.py
|
OneStarSolution/prometeo
|
ed2d534600c0c6207c6d351c54bd3307d15a7859
|
[
"MIT"
] | 4
|
2021-01-12T21:22:41.000Z
|
2021-11-10T05:13:25.000Z
|
from pydantic import BaseModel
class Job(BaseModel):
category: str
location: str
country: str
source: str
| 13.777778
| 30
| 0.685484
| 15
| 124
| 5.666667
| 0.733333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.258065
| 124
| 8
| 31
| 15.5
| 0.923913
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.166667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
01afdab802cd4bd6e35a6c369bf299918d431528
| 551
|
py
|
Python
|
ex1.py
|
arthurpaulino/PyStochastic
|
54f9089bee87d43ef6025082a626a83f5f29e2e3
|
[
"Unlicense"
] | null | null | null |
ex1.py
|
arthurpaulino/PyStochastic
|
54f9089bee87d43ef6025082a626a83f5f29e2e3
|
[
"Unlicense"
] | null | null | null |
ex1.py
|
arthurpaulino/PyStochastic
|
54f9089bee87d43ef6025082a626a83f5f29e2e3
|
[
"Unlicense"
] | null | null | null |
from __future__ import division
from pystochastic import *
proc = PyStochastic()
proc.link('A1','A1',4/9)
proc.link('A1','B1',1/9)
proc.link('A1','A2',2/9)
proc.link('A1','B2',2/9)
proc.link('A2','A1',4/9)
proc.link('A2','B1',1/9)
proc.link('A2','A2',2/9)
proc.link('A2','B2',2/9)
proc.link('B1','A1',4/9)
proc.link('B1','B1',1/9)
proc.link('B1','A2',2/9)
proc.link('B1','B2',2/9)
proc.link('B2','A1',4/9)
proc.link('B2','B1',1/9)
proc.link('B2','A2',2/9)
proc.link('B2','B2',2/9)
#proc.prt()
#proc.compute()
proc.wander({'A1':1/2, 'A2':1/2}, 10)
| 20.407407
| 37
| 0.595281
| 118
| 551
| 2.745763
| 0.161017
| 0.395062
| 0.416667
| 0.216049
| 0.592593
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139806
| 0.065336
| 551
| 26
| 38
| 21.192308
| 0.48932
| 0.043557
| 0
| 0
| 0
| 0
| 0.129524
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.1
| 0
| 0.1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
01e6e2c93d4bbe2d03877d550a0c2294c636e9a0
| 435
|
py
|
Python
|
app/database/models/student_subject_map.py
|
roshnet/Electron-Server
|
f21ced024d69d7d96e89a2aa90c80f3d6757b3e1
|
[
"MIT"
] | null | null | null |
app/database/models/student_subject_map.py
|
roshnet/Electron-Server
|
f21ced024d69d7d96e89a2aa90c80f3d6757b3e1
|
[
"MIT"
] | 5
|
2021-10-30T06:04:47.000Z
|
2021-11-14T21:09:00.000Z
|
app/database/models/student_subject_map.py
|
roshnet/Electron-Server
|
f21ced024d69d7d96e89a2aa90c80f3d6757b3e1
|
[
"MIT"
] | 1
|
2022-02-28T15:24:58.000Z
|
2022-02-28T15:24:58.000Z
|
from sqlalchemy import Column, Integer, ForeignKey, String
from app.database.models.base import Base
from app.database.models.subjects import Subjects
from app.database.models.students import Students
class StudentSubjectMap(Base):
__tablename__ = "student_subject_map"
id = Column(Integer, primary_key=True)
student_id = Column(Integer, ForeignKey(Students.id))
subject_id = Column(Integer, ForeignKey(Subjects.id))
| 36.25
| 58
| 0.790805
| 55
| 435
| 6.090909
| 0.418182
| 0.155224
| 0.20597
| 0.18806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.124138
| 435
| 11
| 59
| 39.545455
| 0.879265
| 0
| 0
| 0
| 0
| 0
| 0.043678
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.444444
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
01e9dace0378d3299daac95b78fec048df0f8015
| 260
|
py
|
Python
|
disc-forum-py-main/Discussion_forum/forms.py
|
DanielDDHM/my-projects-py
|
f6c3af7f6cd61c69234d25c956027e8c7e626470
|
[
"MIT"
] | null | null | null |
disc-forum-py-main/Discussion_forum/forms.py
|
DanielDDHM/my-projects-py
|
f6c3af7f6cd61c69234d25c956027e8c7e626470
|
[
"MIT"
] | null | null | null |
disc-forum-py-main/Discussion_forum/forms.py
|
DanielDDHM/my-projects-py
|
f6c3af7f6cd61c69234d25c956027e8c7e626470
|
[
"MIT"
] | null | null | null |
from django.forms import ModelForm
from .models import *
class CreateInForum(ModelForm):
class Meta:
model= forum
fields = "__all__"
class CreateInDiscussion(ModelForm):
class Meta:
model= Discussion
fields = "__all__"
| 21.666667
| 36
| 0.669231
| 26
| 260
| 6.384615
| 0.576923
| 0.168675
| 0.216867
| 0.277108
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.257692
| 260
| 12
| 37
| 21.666667
| 0.860104
| 0
| 0
| 0.4
| 0
| 0
| 0.05364
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
01f9d0b2be3282c690d7d32f692ed192694c29ef
| 464
|
py
|
Python
|
wpoke/client.py
|
sonirico/wpoke
|
be193a41159dabf912d793eb5a6ebf2f0e9440bb
|
[
"MIT"
] | 4
|
2019-08-19T12:32:40.000Z
|
2019-10-25T20:57:29.000Z
|
wpoke/client.py
|
sonirico/wpoke
|
be193a41159dabf912d793eb5a6ebf2f0e9440bb
|
[
"MIT"
] | 15
|
2019-07-15T18:30:43.000Z
|
2020-09-25T08:10:05.000Z
|
wpoke/client.py
|
sonirico/wpoke
|
be193a41159dabf912d793eb5a6ebf2f0e9440bb
|
[
"MIT"
] | null | null | null |
from aiohttp.client import URL as aio_url
class URL:
def __init__(self, url: str):
self.url = aio_url(url)
def __str__(self):
return str(self.url)
def __repr__(self):
return repr(self.url)
@property
def scheme(self):
return self.url.scheme
def has_scheme(self):
return self.url.scheme in ("http", "https")
def set_scheme(self, scheme: str):
self.url = self.url.with_scheme(scheme)
| 20.173913
| 51
| 0.618534
| 66
| 464
| 4.090909
| 0.333333
| 0.207407
| 0.111111
| 0.148148
| 0.214815
| 0.214815
| 0
| 0
| 0
| 0
| 0
| 0
| 0.269397
| 464
| 22
| 52
| 21.090909
| 0.79646
| 0
| 0
| 0
| 0
| 0
| 0.019397
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.066667
| 0.266667
| 0.8
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
bf003c97fda502bc855627fb6d390a49ac58120e
| 90
|
py
|
Python
|
mako_app/apps.py
|
Waixi00008/django_tutorial
|
2d6b26022c70c0e2332a146aeda39be1e99f7f39
|
[
"MIT"
] | 1
|
2021-12-03T04:19:56.000Z
|
2021-12-03T04:19:56.000Z
|
mako_app/apps.py
|
Waixi00008/django_tutorial
|
2d6b26022c70c0e2332a146aeda39be1e99f7f39
|
[
"MIT"
] | 1
|
2020-10-16T09:22:51.000Z
|
2020-10-16T09:22:51.000Z
|
mako_app/apps.py
|
Waixi00008/django_tutorial
|
2d6b26022c70c0e2332a146aeda39be1e99f7f39
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class MakoAppConfig(AppConfig):
name = 'mako_app'
| 15
| 33
| 0.755556
| 11
| 90
| 6.090909
| 0.909091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 90
| 5
| 34
| 18
| 0.893333
| 0
| 0
| 0
| 0
| 0
| 0.088889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
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| 1
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| null | 0
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| 0
| 1
| 0
|
0
| 4
|
bf33003de2efab610f8d2ceff655480b950bb2fb
| 363
|
py
|
Python
|
release/stubs/Autodesk/AutoCAD/DatabaseServices/__init__.py
|
paoloemilioserra/ironpython-stubs
|
49d92db7f28f25ccd3654c5f6ae83daa0c401fa1
|
[
"MIT"
] | null | null | null |
release/stubs/Autodesk/AutoCAD/DatabaseServices/__init__.py
|
paoloemilioserra/ironpython-stubs
|
49d92db7f28f25ccd3654c5f6ae83daa0c401fa1
|
[
"MIT"
] | null | null | null |
release/stubs/Autodesk/AutoCAD/DatabaseServices/__init__.py
|
paoloemilioserra/ironpython-stubs
|
49d92db7f28f25ccd3654c5f6ae83daa0c401fa1
|
[
"MIT"
] | null | null | null |
# encoding: utf-8
# module Autodesk.AutoCAD.DatabaseServices
# from D:\Python\ironpython-stubs\release\stubs\Autodesk\AutoCAD\DatabaseServices\__init__.py
# by generator 1.145
# no doc
# no imports
# no functions
# no classes
# variables with complex values
__path__ = [
'D:\\Python\\ironpython-stubs\\release\\stubs\\Autodesk\\AutoCAD\\DatabaseServices',
]
| 25.928571
| 93
| 0.760331
| 45
| 363
| 5.955556
| 0.644444
| 0.16791
| 0.347015
| 0.164179
| 0.485075
| 0.485075
| 0.485075
| 0.485075
| 0.485075
| 0
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| 0.01548
| 0.110193
| 363
| 14
| 94
| 25.928571
| 0.814241
| 0.658402
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| 0.704348
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| 0
| 0
|
0
| 4
|
1729884ec3d3b2777c8af1f7043b7a47ca021235
| 260
|
py
|
Python
|
ex026.py
|
heltonsdl/python-3---curso-em-video
|
2bb0408ec041628323443cf902fca593f7575941
|
[
"MIT"
] | null | null | null |
ex026.py
|
heltonsdl/python-3---curso-em-video
|
2bb0408ec041628323443cf902fca593f7575941
|
[
"MIT"
] | null | null | null |
ex026.py
|
heltonsdl/python-3---curso-em-video
|
2bb0408ec041628323443cf902fca593f7575941
|
[
"MIT"
] | null | null | null |
f = str ( input( 'Escreva alguma frase:'))
print (' Sua frase contém {} letras "as".'.format(f.count('a')))
print (' Ela aparece pela primeira fez na posição {}.'.format(f.find('a')))
print (' E.aparece pela última vez na posição {}.' .format( f.rfind ('a')))
| 52
| 75
| 0.638462
| 40
| 260
| 4.15
| 0.65
| 0.126506
| 0.180723
| 0.192771
| 0
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| 0
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| 0
| 0
| 0.146154
| 260
| 4
| 76
| 65
| 0.747748
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| 0
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| 0
| 1
|
0
| 4
|
172bfecd2d89f7d58a31bda32c01e33375726466
| 86
|
py
|
Python
|
cpp_enum_class_string_idl/__init__.py
|
oneofthezombies/cpp-enum-class-string-idl
|
e1188e6a94d5c7c6a4bc6a7d025b12f4d22c53e1
|
[
"MIT"
] | null | null | null |
cpp_enum_class_string_idl/__init__.py
|
oneofthezombies/cpp-enum-class-string-idl
|
e1188e6a94d5c7c6a4bc6a7d025b12f4d22c53e1
|
[
"MIT"
] | null | null | null |
cpp_enum_class_string_idl/__init__.py
|
oneofthezombies/cpp-enum-class-string-idl
|
e1188e6a94d5c7c6a4bc6a7d025b12f4d22c53e1
|
[
"MIT"
] | null | null | null |
from .implementation import (
load_interfaces,
load_interface,
generate
)
| 14.333333
| 29
| 0.709302
| 8
| 86
| 7.375
| 0.875
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0.232558
| 86
| 5
| 30
| 17.2
| 0.893939
| 0
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| true
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| null | 0
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| 1
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| 0
| 0
| 0
| 0
|
0
| 4
|
172c9e5459da37910f7f4e7173c60ca18c5b405f
| 94
|
py
|
Python
|
zvt/accounts/__init__.py
|
Evergreen2020/zvt
|
446a2512d716a38a12164b6d4468a6c9de01b986
|
[
"MIT"
] | 1
|
2020-04-06T04:17:53.000Z
|
2020-04-06T04:17:53.000Z
|
zvt/accounts/__init__.py
|
Evergreen2020/zvt
|
446a2512d716a38a12164b6d4468a6c9de01b986
|
[
"MIT"
] | 2
|
2019-12-20T13:12:30.000Z
|
2020-01-03T06:24:30.000Z
|
zvt/accounts/__init__.py
|
Evergreen2020/zvt
|
446a2512d716a38a12164b6d4468a6c9de01b986
|
[
"MIT"
] | 1
|
2020-05-16T09:42:02.000Z
|
2020-05-16T09:42:02.000Z
|
# -*- coding: utf-8 -*-
from zvt.accounts.ccxt_account import CCXTAccount
CCXTAccount.init()
| 18.8
| 49
| 0.734043
| 12
| 94
| 5.666667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012048
| 0.117021
| 94
| 4
| 50
| 23.5
| 0.807229
| 0.223404
| 0
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| true
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| null | 0
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| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
172fcbc40d0b85db9e7d7b510a91b89381cd68ff
| 430
|
py
|
Python
|
aiogram/types/invoice.py
|
andrew-ld/aiogram
|
b55153ccf3ab9ef191bef6c20e467b92f3b270ed
|
[
"MIT"
] | 2,744
|
2017-11-19T00:56:19.000Z
|
2022-03-31T15:48:23.000Z
|
aiogram/types/invoice.py
|
andrew-ld/aiogram
|
b55153ccf3ab9ef191bef6c20e467b92f3b270ed
|
[
"MIT"
] | 513
|
2018-01-23T16:52:59.000Z
|
2022-03-27T01:50:30.000Z
|
aiogram/types/invoice.py
|
andrew-ld/aiogram
|
b55153ccf3ab9ef191bef6c20e467b92f3b270ed
|
[
"MIT"
] | 813
|
2017-12-05T06:49:48.000Z
|
2022-03-29T15:47:50.000Z
|
from . import base
from . import fields
class Invoice(base.TelegramObject):
"""
This object contains basic information about an invoice.
https://core.telegram.org/bots/api#invoice
"""
title: base.String = fields.Field()
description: base.String = fields.Field()
start_parameter: base.String = fields.Field()
currency: base.String = fields.Field()
total_amount: base.Integer = fields.Field()
| 26.875
| 60
| 0.695349
| 52
| 430
| 5.711538
| 0.576923
| 0.185185
| 0.215488
| 0.282828
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.186047
| 430
| 15
| 61
| 28.666667
| 0.848571
| 0.232558
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| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1752dd1bb56e0f965e84d765b3281984fc42f7bf
| 140,267
|
py
|
Python
|
src/utils/convengence.py
|
O151/bysj
|
9c0c63202c83c47470dd65822bc22b973ae69176
|
[
"MIT"
] | 5
|
2019-08-07T01:32:05.000Z
|
2020-02-07T14:08:41.000Z
|
src/utils/convengence.py
|
O151/bysj
|
9c0c63202c83c47470dd65822bc22b973ae69176
|
[
"MIT"
] | null | null | null |
src/utils/convengence.py
|
O151/bysj
|
9c0c63202c83c47470dd65822bc22b973ae69176
|
[
"MIT"
] | 2
|
2019-03-27T03:15:59.000Z
|
2019-12-02T17:58:43.000Z
|
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 1 16:41:34 2019
@author: Ljx
"""
import matplotlib.pyplot as plt
import numpy as np
sigma1288 = [713459.712876269, 498173.84557395073, 251529.82603825378, 85618.14856803263, 11432.294535108256, 3228.301003745108, 2340.0254167508792, 2059.758265032897, 2074.5725956243823, 2086.373019286587, 2071.0024011585983, 2062.5223655127984, 2064.679174047672, 2058.518768699697, 2058.6009467210088, 2047.0395394758539, 2054.077690007968, 2038.8943268126375, 2042.2851862995672, 2041.7200629547242, 2030.125069120301, 2032.8715083352386, 2019.836662794091, 2023.1216446607098, 2018.8609425882883, 2016.17266947957, 2005.095288401318, 2003.0552429708473, 2005.4360110111925, 2008.6457801331512, 1980.6500015468719, 1981.047390246295, 1971.4726063957903, 1973.2565040235343, 1963.171727531761, 1967.4937166532486, 1954.5385688544798, 1956.9594439846576, 1963.7882588446828, 1949.8255265462922, 1943.1924888847757, 1936.351248705239, 1926.499490955376, 1927.8974416877613, 1933.0537539601235, 1910.6746707843463, 1927.201047505733, 1912.1474294379925, 1903.5509661000553, 1909.0182315700554, 1887.3223723472947, 1894.5789148868312, 1868.2232988970445, 1872.3404561298607, 1875.4544324507629, 1866.255434507233, 1854.2681116421613, 1831.714403209439, 1831.5723828810028, 1846.710116042355, 1880.6893942902195, 1821.234433062659, 1799.3210125379896, 1789.417611454539, 1786.136026370254, 1798.0326380256988, 1757.1944680322479, 1738.1803614918983, 1738.568371344359, 1734.3867596635198, 1714.7263868935097, 1739.1289377526978, 1707.0950366838013, 1716.2861838955428, 1685.7514388396237, 1690.0318259318458, 1686.0945540461266, 1663.4708936601637, 1676.7349421754031, 1685.5676662427281, 1645.4310783447163, 1636.9957877509341, 1626.7947679721742, 1623.5281919921918, 1611.101765106158, 1585.8099094089728, 1568.5669206433738, 1603.6697936806622, 1576.4748156622113, 1560.2283442762068, 1531.8750714724545, 1552.175175393496, 1542.6874555272377, 1493.3392880473268, 1492.4939667838453, 1487.541905652914, 1474.2633791535195, 1457.2747146248666, 1466.145078735529, 1445.7916569996462, 1433.774231807383, 1410.8398999923702, 1408.57846525861, 1395.6409960089181, 1411.3350207570038, 1391.2298419328713, 1357.508164196483, 1367.2185668899917, 1419.9467929521825, 1384.230694982847, 1353.2698385939116, 1318.3111462800366, 1312.8526341160407, 1323.324719079061, 1314.547938075858, 1290.296189869228, 1282.3201951364813, 1261.1894546567005, 1245.5701924501855, 1252.2107996157922, 1252.0895193917013, 1265.8731841837011, 1236.8806269840604, 1218.890329556924, 1231.6434563227256, 1222.199447693179, 1200.2073837521411, 1222.2795414714783, 1172.6787624270705, 1176.544570115148, 1172.9565760571504, 1166.7092959147938, 1156.226430737525, 1143.8459112416945, 1175.5165108864135, 1146.7368871191109, 1160.8411484254407, 1174.142982602573, 1128.2679009023068, 1134.2408750391353, 1108.471063735893, 1112.8547969670599, 1106.1229565070314, 1156.1451309429028, 1117.9941441731225, 1085.9847798547025, 1090.830410091762, 1081.1034361107993, 1097.4525548954894, 1069.4827888268417, 1074.444863220449, 1061.8351060366633, 1081.6752511623974, 1074.5542255488476, 1067.602638216908, 1061.197423634556, 1042.2535805251478, 1046.8283683059435, 1050.2252822033818, 1049.0840423065636, 1070.5974647162996, 1063.5364877177549, 1061.3704858370188, 1017.3203505135953, 1029.676754292172, 1070.0278072100457, 1012.7528692799533, 1018.3813638564482, 1006.2869240636361, 999.7587715467638, 1009.0098076243378, 998.1856134634518, 1020.4418456599591, 1009.6143829386765, 991.5706877019926, 1008.0419136862225, 978.6293946829625, 981.5151378659399, 1020.1244136253572, 1021.3367875529278, 976.7332308075707, 984.9886602733113, 1001.957471924268, 974.4969114676799, 978.5472370007334, 965.1019054337337, 954.0505345278441, 968.6444674894552, 961.7053336404952, 969.6923341459606, 946.9584647583351, 941.5305920887271, 940.4876702825802, 944.60254893257, 936.046729409238, 942.6843137369367, 935.7054091399508, 948.9856139488332, 969.4030757570687, 934.0474457853992, 932.4218835787269, 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821.8175308506543, 816.1779018239592, 879.8163192297148, 850.7807603373258, 786.3907751231966, 779.9012434703858, 782.3624929920261, 830.7211761631592, 819.4709971685783, 783.9985239289313, 798.3514264184836, 766.6846834602908, 761.0650848708517, 757.9290937598535, 731.1432892176974, 725.8499752527961, 741.1523721153843, 739.8436142867165, 720.8946548223053, 710.2722901703125, 775.0956173911785, 700.8415801665118, 712.8945660031295, 727.783718783265, 723.6711486087255, 728.8181565493949, 712.8102637055065, 713.5957860172217, 703.5084787489237, 687.017949961348, 685.019886502187, 679.749668956538, 696.228589349352, 691.6061311634919, 696.8195754545799, 678.39966414082, 685.0192685840036, 673.7684531124765, 672.8482295484812, 686.176865300187, 730.7073838104582, 703.9785929477438, 710.1108977725349, 659.0070380551425, 719.7653960634432, 675.453551350173, 673.629272985995, 665.7558749525854, 659.0779048134931, 653.2765969877112, 666.7205605312572, 658.1256653094017, 702.6884545355508, 647.5886652850919, 634.3869846252506, 660.8286238365895, 639.1758281459099, 641.8382340750013, 651.5683034392368, 648.1229664436571, 630.4929196795166, 635.9553586222042, 647.3844373613832, 610.8700827480416, 597.0208146650912, 622.5280683251725, 641.0363235031275, 609.3692189470955, 592.9840195505108, 630.3149452228336, 593.5425427046983, 617.3133313926699, 603.6823044205496, 590.5889363235569, 598.0140798345475, 636.6558811349963, 617.527979447663, 597.4667876276641, 588.7676524484298, 655.6804279813061, 644.829486050323, 598.092169028558, 591.0245335404715, 574.8335100754166, 622.8312967028758, 620.139262263726, 619.3429719912843, 586.5984815101152, 606.9377137181863, 595.6094172636242, 596.6875528567743, 592.8469736654819, 602.8745935203383, 585.7519425957679, 648.8200092819187, 630.440831363395, 598.8325341070956, 584.5164702929545, 567.6382337895743, 603.6331557468105, 567.7121033293466, 590.1980446518589, 592.4723996030112, 574.1433964859525, 564.8962611648477, 548.5664587459308, 548.4151298740247, 559.1175324485778, 581.4240246502505, 569.79701422985, 553.4403032197067, 570.0496050315269, 572.6724077701158, 601.6850005418638, 552.5552455751675, 556.0069152131474, 549.7901552692583, 562.5546181450821, 585.3935417833483, 559.0188859276842, 547.2658247890496, 538.8903808868938, 532.9696831576327, 569.9062487559684, 595.7358509010741, 574.3147765985595, 583.8269033893458, 543.6822647501521, 537.3444351882432, 527.0234255936173, 535.7279408527862, 539.163878535692, 546.6098631647204, 536.4182168768291, 603.7817641065124, 559.9069649124434, 536.8038901036368, 570.8707792917788, 540.4407321857542, 549.9343121006293, 530.1931811019747, 537.1896396522347, 542.9464116723891, 531.7900222344774, 530.406152217831, 540.8976085074574, 545.6633531181017, 535.3202924082929, 512.8473855562999, 525.0489400599931, 604.7534937919726, 652.7049219934414, 540.4339491009733, 558.5642876278623, 516.5540987522788, 539.3488953446961, 548.0844469379474, 540.034156770936, 541.4435212965448, 569.587082720158, 538.1943615335286, 532.455969613398, 565.0729751739829, 549.1145041228781, 532.244633546776, 523.3077779141112, 514.2569488059592, 515.6647029065966, 557.5083709553181, 555.9580983879944, 527.4406991634711, 515.073696139772, 505.49927152242174, 511.49699155139405, 520.407456553213, 489.72723898863086, 495.84524619285804, 496.9863772718128, 512.8571183640659, 490.7688845648453, 481.8554186943502, 503.2481258956271, 487.4220101262952, 513.4048510999149, 497.25808474317034, 523.1808541333596, 502.74778055812993, 538.6535161356001, 500.6820990633678, 502.5913537503458, 514.3338854503248, 510.093308852587, 512.5518217943397, 485.20424719261143, 525.951044835127, 513.6439044926168, 526.4454323970174, 502.7805360221681, 482.224577486597, 492.9487304142846, 542.0573400824371, 493.3412692813241, 485.0245772455949, 495.0321250625051, 500.8467273675691, 478.84269971611945, 480.2625123952604, 519.0792938779034, 523.9875141501013, 496.42595359733605, 523.4654898190462, 490.4750372469199, 493.32894455765415, 496.88533623211634, 473.82262826810495, 481.16878935431015, 488.1021437642836, 557.8586833674902, 492.82878590280444, 563.4758036867719, 542.4678163105857, 525.4977699786897, 523.0415128997577, 491.65413840861675, 504.9608021270392, 473.3553687512572, 480.0157865310749, 502.16724498854956, 489.21186155561855, 514.0458515654839, 495.24190136079926, 526.4473065734921, 486.8044771404926, 500.3759218270933, 485.1320376960442, 513.330283483079, 479.92448094625786, 467.4931406181525, 476.6778274172807, 634.0263507735823, 518.789312768243, 497.0312497055937, 525.3499880831666, 491.93578315280354, 470.58814603661267, 470.76413973331654, 497.64002072861615, 473.49472149379625, 498.1301452248707, 579.3592056872238, 568.9300343857994, 531.2519501875632, 547.1339003641335, 487.5564030908571, 468.33923657009274, 476.1334312972329, 449.08267034293885, 452.16978034676697, 460.0851530735552, 455.56049975489395, 446.67515917322453, 451.55782085226576, 474.3948385153997, 471.91386006938563, 482.30608730291414, 470.2451969054502, 498.1728196606658, 460.04175298605986, 461.3255049940693, 451.33499412147967, 459.97729582542127, 434.95261909269664, 449.68230796789715, 464.8367742512222, 435.90523479225067, 431.4718848969907, 469.91252948439234, 480.0699009014855, 486.90515932287116, 465.14300360027437, 459.1572829949532, 468.00428372879117, 444.41727587804405, 464.96747170226615, 434.5170277084044, 436.72132382039933, 437.388248913544, 422.2494576021706, 434.06302828229883, 478.45622709074013, 468.42665713272146, 463.0424825199012, 445.044096490396, 426.1983565744202, 436.60635449110396, 452.9663673639208, 439.4764355525169, 451.2474264656278, 436.1581065081684, 426.41452437839615, 433.080168324883, 449.16970750736994, 452.7832448073409, 431.4062798642635, 436.80230775691496, 448.7818455835829, 431.39764864715096, 421.64371303256166, 428.79562420218036, 460.3543351290499, 472.67531438345407, 422.9946807823314, 447.3364529780275, 446.29802447127685, 441.5950048136202, 428.16045711782346, 419.66280962196606, 439.5114854709086, 451.6138415609571, 420.94156456683777, 458.3604760107398, 431.7017526680597, 431.776480122912, 450.67632688543245, 437.3048050459687, 531.0322916479852, 472.432814135033, 434.4474679197291, 476.3807800968587, 438.33394336587463, 412.83879761712626, 423.9718049445244, 404.63815009452435, 423.4052458297539, 429.98575615183097, 405.93627156554123, 397.77468344155596, 437.32503817291126, 451.0698776837219, 432.5940119353001, 422.5751658799398, 454.9153009622238, 431.2981779386181, 428.0149420338181, 401.88109988530584, 449.37321764199925, 468.63848831255, 442.4829638551852, 464.4899818756765, 419.6174543872606, 409.4409517179615, 435.2052474306197, 466.4622720150208, 409.64818630362623, 444.4077782553089, 432.3596229030003, 411.5993039609102, 415.8268265059884, 417.07984230228533, 446.7234373055427, 425.07106368414986, 429.20668052322145, 441.9326335414427, 421.725676026138, 397.79737009879335, 390.4527971044829, 412.2115298058794, 417.07030042783634, 406.4172853193826, 439.35062701171466, 397.70771972760764, 454.07699228299805, 417.6531653881205, 397.148803269998, 405.6057113622072, 390.5061997929309, 396.29084672272484, 423.2391347925521, 498.5298820747556, 416.29298283689104, 404.2390103149831, 432.374159432013, 409.27952166454486, 401.6025315752155, 389.39775821885985, 384.3521249770454, 403.7763141480806, 397.5050635923282, 393.88393960669094, 405.1516952306949, 436.39670955648205, 454.57027705661267, 387.30947471115223, 392.37071897006456, 389.6171489995155, 393.6189442975543, 421.19852325017445, 397.3409242431136, 407.20524027309887, 397.9111112208356, 374.2996947017094, 413.5407060846146, 396.6067434793789, 400.85654106428797, 406.81642069941347, 386.80474715617345, 418.66202123194427, 447.3989522790572, 562.2229316441022, 449.5574176365327, 426.23257298555643, 418.4319750617548, 395.1477685969618, 401.7619200068241, 396.1378017592086, 402.3784908163372, 408.28054556524705, 412.66354742897266, 397.4968489501283, 395.56702625234846, 392.67641669218955, 383.4413881046804, 385.59584073076985, 393.36324592640887, 374.8729930399755, 379.83433375508287, 370.4359894105338, 401.1776136598478, 390.7060780994665, 365.7691981016656, 381.7341977280108, 419.074215658334, 411.55271791388185, 419.48060209423846, 420.3098459854015, 410.38843813980327, 394.527460082937, 393.63856266001267, 430.07907261444177, 434.417299880674, 384.063944932363, 376.348088720488, 372.7436434888355, 387.8577510873332, 392.5468448620742, 392.94937491801096, 365.89662644331764, 376.7525704441944, 381.1628104350201, 381.5394786209629, 398.9431410173103, 456.79954019270224, 385.40354305132104, 366.3379446084299, 395.92819449505896, 385.1853707768034, 360.192154092755, 355.60881544570213, 359.3361378043038, 390.9546306886162, 371.8205378861072, 402.8481297384743, 364.5420165382548, 386.37776430446166, 403.7116013365591, 388.047526508358, 381.75024849523237, 385.3893894368014, 381.9018428699639, 392.13498251242635, 367.86107679454585, 371.6403116847791, 357.09832516847223, 357.93607788592266, 363.45584140965866, 364.641804062714, 371.02007858912543, 348.30227194224534, 355.3201750419994, 375.13398637029263, 351.91644753833333, 358.3231161107454, 346.70760345557017, 348.2050719743786, 368.8114954744332, 369.59551100221296, 359.7565924320569, 351.85731765085643, 361.1773507895549, 406.4894927541241, 396.2054267891125, 403.5374550113994, 375.5339567062295, 364.6617719245927, 347.5488795021744, 387.98931629568216, 336.6137516248957, 363.229555856077]
N = 2
datas = [sigma1288, var1288, att1288]
plt.figure()
for data in datas:
data = np.log10(np.array(data)).tolist()
plt.plot(range(N, len(data)), data[N:])
plt.legend(['sigma','var','att'])
sigma1284 = [204221.37882033098, 129766.4238260441, 56226.61701610727, 17448.655223770817, 2118.0155047324442, 1295.2646804857554, 1007.6110508645024, 958.5739144323394, 963.9810722461405, 953.5271614727062, 949.6320563373072, 946.4369321372099, 935.0663306332192, 931.4744213278411, 914.4330740346688, 909.6665448057396, 892.459498729555, 904.2114915514669, 870.680602320231, 866.5732498728233, 847.1334261503747, 830.4276447817252, 817.5193452728553, 794.9769209010076, 763.7319159586939, 745.884078463636, 713.9221599638821, 703.5490415864008, 678.0450014589128, 652.8309027777068, 626.1329857370833, 612.4717501025946, 605.798582334003, 579.7607115574233, 563.7418034930672, 550.6563230083162, 551.6774386677469, 559.1134562877347, 529.7930687466953, 518.0974762781221, 507.03530692230527, 513.0552088086904, 499.4324185639065, 494.87200685923017, 489.21017577452466, 491.32041534831234, 482.31980930723995, 489.068750892384, 476.20247919413816, 487.29957959222793, 469.3167627278634, 467.7724311679275, 468.14006356320243, 459.7418119079599, 471.7103002122285, 463.13559761500767, 463.46358440604035, 456.23207855258323, 449.5837347956214, 453.16579678776606, 447.70738564994343, 453.95562772223803, 453.0642785692924, 435.48728009269064, 446.30481979841034, 439.2121271108757, 431.98126756573095, 437.16076848240783, 423.83370862854446, 434.6876759272286, 432.69503494323783, 428.32218515272655, 425.3963313461083, 421.12827964057396, 410.8747246723374, 411.6033290129896, 420.019740258568, 412.5895478640838, 413.36154581001665, 404.03715511585546, 405.1274397134913, 406.86298431775515, 402.8691753149594, 402.940726678573, 401.495378141355, 402.48470261652244, 399.30276720485097, 392.0436298506603, 397.49164049758986, 403.5121627669158, 405.12681701842007, 394.6607496377674, 387.2612866243097, 387.1897869418399, 386.1938761743944, 380.247416050934, 385.8773854711925, 377.1128828302841, 379.1725969105507, 377.06100764922456, 375.85038969943867, 371.7433532624916, 377.76511812684186, 374.6685510972321, 367.5525609187123, 369.5889411000684, 367.03574201201945, 360.03103199048024, 364.41270281795516, 365.30759775071317, 363.9379557067188, 366.60136919379914, 374.2233744410602, 356.28931191958935, 356.55555181752186, 353.6330891652516, 356.71059375839525, 356.82823773741, 352.61732230721884, 349.15441150797017, 352.9698019089359, 348.3204098826709, 345.28223679384615, 347.2365993534427, 355.61108092669207, 349.5576898362745, 353.26878972966654, 340.78092169178643, 347.4889034583566, 344.9697187003062, 342.8068911534211, 336.76214510297035, 342.88554377584, 335.9934909997963, 332.76230759007257, 328.59423640610487, 335.00378441546184, 332.8352060856676, 329.56230666285717, 340.9862757230213, 333.75265537299276, 333.36665982319863, 331.54260641962037, 331.2215324924205, 323.2574116370114, 322.58010190290577, 334.3881171669718, 343.8105941176933, 330.75805168545116, 318.97903090540217, 318.0440387897944, 319.15632377043386, 322.76752255872714, 326.8400390534938, 311.0446962585803, 317.9927544953034, 314.2481614401304, 317.02406163637704, 322.0305613980453, 308.2939489765995, 312.5239497886928, 310.36666278106844, 307.22634416493764, 310.1729857238482, 313.19140977740244, 313.52144686479454, 311.2390425355521, 300.2554209026831, 301.29703550280635, 304.52953325933714, 300.2758905448098, 300.24535413304653, 302.98757938129233, 312.7206593608351, 311.4683918512566, 309.5641745871936, 318.31750932854027, 313.51392439127875, 305.7693407173817, 295.5115338794327, 307.13387935678423, 294.3570025022144, 301.580149126237, 297.49472078225944, 288.5415908125382, 291.7841578818594, 300.79892041558816, 300.86036624695316, 294.6637156627201, 289.0450634038477, 291.47066905842723, 292.70093314976, 294.28601673694254, 301.4104761038552, 319.5214394415695, 293.7395234783813, 285.3345300523221, 279.8584688508007, 281.3851095955098, 285.24714876377914, 280.87694932728266, 280.01641856686217, 292.80119555638106, 298.2898133443861, 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243.76032709773108, 240.62894001127637, 215.460267316228, 216.82136782042556, 214.82494879763672, 213.2884699859162, 209.96653958009279, 212.06003604933912, 218.6096907920048, 220.78440224626928, 221.9835179501115, 213.42501816243657, 210.17329136893846, 211.0401713534602, 210.32202405487965, 218.25816145328992, 215.81517149704194, 224.70168574065087, 205.31608683387358, 205.21288294961633, 206.76563331276944, 206.30768955744261, 239.28918672206777, 226.75503472072614, 207.32307532503341, 207.23591065443702, 211.8445756936439, 211.6274462919238, 210.64423743789249, 220.1341545998339, 212.02610574464023, 215.98475877480996, 204.92292006038906, 203.98058815134232, 202.30410150038682, 210.85966096493317, 208.39887894084, 200.35824208873407, 217.87745680011486, 243.47610486656663, 218.7485299518715, 213.38930051565703, 209.3188445825528, 202.09163744019023, 200.63934858419162, 211.0892659302121, 204.4854740744171, 205.3260635410225, 210.7191039233504, 200.15029272965847, 194.3733909851946, 202.26998195130335, 211.178234566929, 223.49037897430125, 208.84423667194014, 208.09770719779917, 230.24862644759028, 211.28003720406235, 197.170325345674, 193.69757040219807, 204.81512748954475, 227.4080221675484, 209.51110216197645, 194.54409038212367, 191.7866236752636, 205.41072326302705, 217.7625555496038, 206.09205057556863, 198.21411267976663, 196.25881361796905, 192.7927654868834, 192.09319692108838, 191.05232253473156, 199.31023310985344, 200.35043785501648, 213.45664522448632, 197.97575184130392, 198.7210624525107, 200.46954731090256, 190.41058746478262, 198.42704933269198, 210.0324114279325, 227.14771459017567, 210.97761638174407, 200.44214052753892, 191.62595403245285, 190.49502030128465, 189.59498140516183, 190.5913273041579, 193.00577570125455, 190.04513470783405, 185.8442879181237, 184.22465104216653, 199.21424261355736, 186.74913078180788, 186.73071729100107, 191.35018868507933, 192.51400810689955, 187.06069607373848, 197.5701216801217, 222.48689208701234, 276.4838474159111, 194.81704951996772, 185.8351320603802, 187.28339818102876, 187.30297904328157, 188.73162295763208, 205.37817534346186, 197.4458802221726, 180.43909947480563, 206.25997311447108, 202.49547879353864, 186.63354074428133, 186.34316988831353, 179.29163639683304, 180.24467843528424, 195.16252377464173, 188.09413851293343, 181.9271555930821, 182.0933456606568, 180.7603860629545, 185.37173626198634, 183.00792495803475, 193.49135113122574, 184.10888998383862, 191.8910183734402, 191.41678678145826, 186.79892151045914, 180.72191619794495, 177.31916615858455, 178.05283663420525, 185.83202591213745, 188.85657255912116, 193.50076776769967, 192.02402333018705, 189.22482633549225, 177.8177831437136, 179.0401721593075, 191.24276668048307, 190.3404015236252, 180.8724706223619, 176.14483402998562, 179.19618942548288, 186.0837376721903, 206.54180651115098, 191.30663011182025, 180.9951282237643, 181.85810865615522, 173.34497154389754, 179.4358922951589, 174.3581008455992, 180.93483035655794, 188.7260944537227, 179.5742333009993, 181.370698755374, 179.56487718763532, 180.99966828762643, 188.17545384705332, 178.26209202373042, 174.53563085894802, 183.4172892117037, 179.53424327498797, 174.19874452915192, 172.0232136204257, 193.22246061792137, 190.66753075816877, 190.68325973662786, 178.959018191967, 188.4603478353196, 205.02821493280098, 202.33384640788023, 174.31150753358986, 173.08521746336763, 166.42554449742974, 173.18336121519917, 168.1400505788324, 167.69969607155178, 176.54572751493717, 174.0358740835289, 170.12370222324145, 177.03059813953217, 193.73345818798794, 171.92152967253608, 167.96757906046884, 177.0077116226884, 178.86484868246208, 176.67894690058262, 178.4751614278984, 171.5832529162358, 177.16507979753004, 175.96590641368275, 165.19627441644838, 173.42533865245554, 172.91334324506005, 171.02034217145123, 184.94514611494205, 193.85704574634573, 165.94901967037782, 174.32984440224078, 167.93501534703344, 167.53936680676492, 169.05160890619914, 166.86960477622364, 165.72408268846002, 165.33956160593783, 173.08479551432066, 166.53049856836327, 165.1263609151569, 160.57351417209367, 163.74261957172527, 180.5170708810289, 165.1966014875248, 176.83459723417818, 168.94014134702994, 167.13434196525475, 169.72670021455974, 163.56510109353823, 160.80532603939258, 170.21366597170908, 159.44939766009895, 163.30633575445387, 171.03349099225548, 172.999300536461, 167.4470149945567, 160.35108201013387, 159.80155852774402, 162.2457660449478, 158.20753456702815, 161.37719176868907, 171.55003383401495, 166.55368817915164, 162.54158023434698, 170.47057618604015, 165.34570290031994, 156.78390170434693, 158.38507646682388, 159.45377359704545, 182.0253529832788, 166.8083969457646, 163.1487694495492, 160.6134362871434, 160.8262206679051, 179.7880172119383, 167.90363100329165, 175.26901496255334, 161.56399785592305, 160.98457405450122, 168.1427037214381, 159.7683372285465, 158.42921332997793, 166.07033837170772, 162.4844043813301, 171.54716432360877, 167.77553039236648, 167.1305140107404, 167.38681417882643, 215.48800201721042, 189.1139412054013, 187.41691987894882, 181.45461953564603, 154.49311066573938, 155.9922934684849, 168.60841429465836, 165.58093999313627, 160.02390771707599, 168.24699746392247, 177.99960780046962, 179.73156139435292, 161.80381148455962, 163.9035834917651, 154.89297766208227, 147.5480103787457, 149.67873909789782, 154.39766410526107, 159.01320312702256, 149.23826971836007, 161.41710834468148, 188.75744850229103, 165.64905008490084, 157.26219213746938, 152.43593053259076, 151.44836669055252, 167.33311403352235, 164.290718842136, 180.9312171622916, 170.41793154668306, 157.10538189827247, 149.76039387896648, 151.7460196046979, 152.7603869587661, 148.76202173447157, 144.7870499473329, 160.8847086367571, 161.48756399274188, 155.36320121509124, 160.98552594917115, 156.1405714051549, 148.89192839367166, 155.82238878846846, 150.87550195616313, 159.22495451405263, 151.24305089368872, 145.31975592882185, 145.3063671484624, 144.93812785573206, 146.52175386801554, 143.2953510205877, 146.36294903925128, 147.7170369262724, 148.9288434952872, 144.47059505352297, 142.6982117283791, 143.0641491191163, 155.64303979523885, 147.4144911250818, 148.02003780549762, 156.7551583368482, 147.87852931089913, 142.85879589473547, 148.3594650433651, 147.71608369310985, 145.82847653157555, 144.3769883490568, 162.86207801777115, 155.0134045991978, 176.86501794154884, 186.15614070936894, 158.2368427010481, 145.35635462033787, 141.22398077297083, 147.2085605233595, 143.66132598702774, 196.31486589295406, 162.55931631605898, 149.99738524927994, 141.4045904528741, 142.9881957061198, 158.14438448369552, 166.17873114712003, 145.83960630552212, 164.60549878320452, 147.18545782530634, 140.5842517498872, 134.5434862385775, 136.33321007539334, 146.80519555791426, 149.65653372047484, 143.93016337040206, 153.6570173869788, 140.7732523764946, 137.89480815698298, 139.9118990347358, 150.09795027739057, 138.3709154158179, 134.92793893240795, 138.64762146608257, 151.78798676295023, 149.42929667795113, 156.0022790175397, 167.54158528668708, 147.5355712075676, 156.46087693405056, 151.37721743800867, 145.28641397236788, 138.27842426981243, 136.01618787706585, 132.93532887770397, 143.30560605214325, 135.6469595174743, 140.68032062283652, 151.94841782619352, 157.03582701144853, 140.83675905431852, 152.8536470058129, 136.57350379026093, 133.51843870262027, 137.1875613118071, 136.06082305317912, 136.7606128282889, 137.4251884414642, 134.06062291418587, 129.1887708907738, 134.42718740454836, 137.21771240472773, 138.30565733439897, 134.57809393619803, 137.49044878999234, 145.1535144501946, 135.22568061560895, 129.55454316113273, 137.48533712440963, 133.97698827441428, 138.94456381334052, 137.1385610186958, 129.85217623878452, 134.83521491808352, 134.32348581098415, 164.07581822305858, 144.84336234855073, 135.66183494298764, 137.11029515169133, 130.37980484351064, 133.91561682225176, 153.63500867811786, 149.19205397453138, 135.72831627255914, 145.80966257072598, 147.91506964318825, 137.05145438587655, 130.8701959355147, 133.48203044645544, 138.36720998644145, 128.07818569236792, 130.01786843917924, 140.2011062625407, 130.93039237487042, 132.15903453256257, 150.6454728009731, 138.32667980168713, 135.21643221836192, 133.42464468249077, 143.90099403190456, 134.79042858933298, 129.78168193807426, 130.86940422886173, 125.484485801848, 129.52084091212183, 154.19196548484803, 142.5193814711992, 127.31123193412205, 131.92725753661483, 127.80324896674145, 139.49938514418866, 150.7277100743191, 132.32075927840907, 132.38923728034553, 128.77255789269546, 127.55840408090903, 131.10167947161182, 134.56760979447785, 127.94407762096353, 125.83687661694887, 120.7398124031154, 126.19268462372531, 131.97827529868397, 128.47940244251237, 124.66599729064782, 124.95921877811892, 127.47293619963861, 126.74852835641298, 136.7087689146511, 125.32408696338817, 145.7892745536234, 140.38820520367355, 122.00315552835666, 136.42656677730093, 137.13787360219683, 129.4023660178314, 123.60923502083952, 127.81829657820273, 130.47194169348614, 127.42320152041381, 122.74701229454313, 123.23261841756509, 125.52183744051649, 124.16901720069731, 130.42970398109304, 124.5854893257258, 123.90479798764666, 121.0812126454078, 129.1794554449633, 144.72876172332883, 135.59865197375407, 123.34285438041802, 121.27217659719842, 121.79044289010737, 130.24006869565994, 123.78708652520012, 145.23528436502724, 138.86447367293053, 135.0168455703733, 124.08230407733686, 123.93568618654163, 121.92712505589904, 124.12857193851437, 145.3608789181114, 131.05066508776358, 129.66200113221814, 120.10329995648367, 119.36312774920823, 129.4384893074918, 141.68462990586164, 126.10400936783358, 121.99991583638878]
N = 2
datas = [sigma1284, var1284, att1284]
plt.figure()
for data in datas:
data = np.log10(np.array(data)).tolist()
plt.plot(range(N, len(data)), data[N:])
plt.legend(['sigma','var','att'])
sigma1282 = [143554.64393948502, 84514.03824278977, 21169.55854609824, 3773.97965147038, 988.9449626747368, 633.1554853781599, 611.2332082156579, 609.330440369712, 603.9817539424614, 601.9722827846276, 603.7214536359322, 596.0603329858225, 599.0178604167131, 595.5562733042227, 592.8158205950723, 587.5964619620229, 583.6917138460796, 580.3031780842936, 577.5338242387364, 572.9586061763373, 562.4365067088422, 545.0949319510139, 535.3881745975698, 527.4244082534129, 500.2300190233483, 482.59563030050856, 459.47126586025354, 444.4503159938248, 434.27826625974365, 411.0453751199537, 396.33337143312053, 385.34191341092327, 375.19184528556434, 372.12215848690715, 378.21959276252517, 353.60472040311487, 341.88112637289174, 340.1863233390847, 330.19767919857287, 321.83169800808173, 320.8663056844293, 307.5532062557734, 302.2129066136355, 297.37707851154596, 290.3207911961737, 291.2460590222097, 282.38905409531196, 273.02674561750433, 270.7339536421661, 265.18395823407866, 261.23724475892044, 256.53514489316774, 249.99120789797493, 244.82183520212598, 238.73381825031046, 233.3099287668086, 232.44109531370864, 219.36024743653167, 213.1340709803241, 206.0184975958178, 200.9187513280994, 195.34362119560984, 192.81540343141418, 187.81478555825942, 183.02993721804359, 180.35691157098762, 177.7860466069193, 180.3239780145687, 180.90626633413714, 167.0426932317794, 165.19281398186922, 160.09954222524613, 157.8558086713238, 157.04430422095635, 154.41629366297826, 156.3187087365421, 151.03580465972885, 146.86528538651245, 145.219941239025, 145.11670603376209, 143.81826872863226, 139.65502673869864, 140.86192785298397, 141.3230524401667, 139.24892916102988, 134.98173564268822, 139.49093415679022, 141.68021279917227, 145.0445163791272, 133.48063955296058, 139.31793633185808, 131.50073217712531, 132.00983703607452, 138.6733184531575, 128.89251850264523, 129.12739713958155, 135.19014414147023, 126.75824923739677, 127.5030279671274, 129.56216221885626, 125.32959286609393, 130.40045608780125, 135.6943206142373, 129.4043598871368, 122.48887224797218, 120.29545348217866, 123.45598920144832, 119.4925855036502, 116.26913068940473, 116.27572247174253, 115.32899966789407, 114.56778021424797, 119.62052945714693, 114.41184717825543, 115.81633256240227, 117.12948796046501, 114.76050882514365, 113.32685991180475, 114.5460591704948, 109.06808661563119, 109.3973449595079, 108.89919205149677, 107.6928739731762, 113.81625037610316, 117.4536174626274, 107.41248745674673, 104.40697102549294, 107.24189935040003, 106.89402481699517, 102.15978567123273, 108.25536628107007, 100.00824922425441, 154.79052009501132, 155.17993716201784, 117.40570896130085, 107.79106869877492, 105.53048872062045, 104.27471657199274, 102.04813286359271, 101.5998900631838, 99.4204176552033, 97.64529560790967, 99.30047125684348, 96.11890482174161, 96.42720179020323, 95.28835152344548, 93.99405833127356, 92.72438778739694, 94.27673903075573, 93.26390911351966, 93.69880657865562, 91.7571137914306, 90.17938537425104, 90.08555904766328, 87.83604948983111, 88.32563099713755, 88.5879739785273, 91.14198167804528, 89.93749657070023, 90.81843385947803, 85.3319166709343, 83.37362667515512, 86.33235271390386, 83.88477087551945, 88.85510261576596, 82.3443329619349, 84.06205225189697, 82.63086989952416, 86.39004272056111, 87.20539080162905, 84.2647264049367, 85.21521488183251, 80.25548526862804, 81.6021990527997, 79.663592325656, 79.27594021954556, 81.03871304670002, 80.14308484333205, 80.3630296069044, 80.46346024292762, 80.49866173240822, 77.68724353095651, 79.87452106026275, 78.34452846306475, 79.17355658546059, 75.83226270356491, 75.45974458317247, 81.48545277233666, 75.89766804457301, 75.98057191973211, 75.8003068227841, 82.30581710628093, 82.74834540808294, 79.23321146436903, 75.7020774340082, 73.47074196451764, 75.3351130434384, 74.54625724325275, 76.63148312035341, 79.98470826929696, 73.95978114350275, 72.87729442171941, 72.35703041950028, 78.1827812390425, 71.9362291509971, 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N = 2
datas = [sigma1282, var1282, att1282]
plt.figure()
for data in datas:
data = np.log10(np.array(data)).tolist()
plt.plot(range(N, len(data)), data[N:])
plt.legend(['sigma','var','att'])
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175d4707296b91d4b8c2e98faed6b8446b90c774
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py
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predthread/__init__.py
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julianirwin/predthread
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f2ff7cf833864ed7d3866e2c63dd14282ca2da8c
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[
"MIT"
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predthread/__init__.py
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julianirwin/predthread
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f2ff7cf833864ed7d3866e2c63dd14282ca2da8c
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[
"MIT"
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predthread/__init__.py
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julianirwin/predthread
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f2ff7cf833864ed7d3866e2c63dd14282ca2da8c
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[
"MIT"
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from .matchresult import MatchResult
from .predthread import PredictionThread
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176285cccd6e714b1e5a4bcb3e5e7685dbf8dbb8
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py
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Python
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pymatgen/command_line/tests/__init__.py
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cajfisher/pymatgen
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286c304e38102d567723a71f733e0c304b72035d
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[
"MIT"
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2015-02-06T08:27:09.000Z
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2021-02-28T14:42:52.000Z
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pymatgen/command_line/tests/__init__.py
|
cajfisher/pymatgen
|
286c304e38102d567723a71f733e0c304b72035d
|
[
"MIT"
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pymatgen/command_line/tests/__init__.py
|
cajfisher/pymatgen
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286c304e38102d567723a71f733e0c304b72035d
|
[
"MIT"
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2018-10-17T19:08:09.000Z
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2021-12-02T20:26:58.000Z
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__author__ = "Shyue"
__date__ = "Jun 10, 2011 7:55:47 AM"
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0
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1764680d61f422d00e977aa06cf7d9eca3b03d6f
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py
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Python
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src/sampleproject/__main__.py
|
mw-white/moonraker_poll_api
|
a45c4dd28e7901148260fadc325c569cec2bbfbf
|
[
"MIT"
] | 35
|
2019-10-08T16:56:56.000Z
|
2022-03-31T21:35:04.000Z
|
src/sampleproject/__main__.py
|
mw-white/moonraker_poll_api
|
a45c4dd28e7901148260fadc325c569cec2bbfbf
|
[
"MIT"
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2019-10-07T19:41:15.000Z
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2021-01-26T14:45:06.000Z
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src/sampleproject/__main__.py
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mw-white/moonraker_poll_api
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a45c4dd28e7901148260fadc325c569cec2bbfbf
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[
"MIT"
] | 7
|
2019-10-08T16:57:06.000Z
|
2022-03-02T18:45:21.000Z
|
"""
Package interface.
This is the main package interface.
"""
from sampleproject import cli_int1
if __name__ == '__main__':
cli_int1.main()
| 13.454545
| 35
| 0.716216
| 19
| 148
| 5.052632
| 0.684211
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016393
| 0.175676
| 148
| 10
| 36
| 14.8
| 0.770492
| 0.371622
| 0
| 0
| 0
| 0
| 0.094118
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
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