python_code stringlengths 0 456k |
|---|
"""
File contains the standard library of Python 3.7.
DO NOT EDIT. If the standard library changes, a new list should be created
using the mkstdlibs.py script.
"""
stdlib = {
"_ast",
"_dummy_thread",
"_thread",
"abc",
"aifc",
"argparse",
"array",
"ast",
"asynchat",
"asyncio",
... |
"""
File contains the standard library of Python 3.10.
DO NOT EDIT. If the standard library changes, a new list should be created
using the mkstdlibs.py script.
"""
stdlib = {
"_ast",
"_thread",
"abc",
"aifc",
"argparse",
"array",
"ast",
"asynchat",
"asyncio",
"asyncore",
"... |
"""
File contains the standard library of Python 3.5.
DO NOT EDIT. If the standard library changes, a new list should be created
using the mkstdlibs.py script.
"""
stdlib = {
"_ast",
"_dummy_thread",
"_thread",
"abc",
"aifc",
"argparse",
"array",
"ast",
"asynchat",
"asyncio",
... |
"""Finders try to find right section for passed module name"""
import importlib.machinery
import inspect
import os
import os.path
import re
import sys
import sysconfig
from abc import ABCMeta, abstractmethod
from contextlib import contextmanager
from fnmatch import fnmatch
from functools import lru_cache
from glob impo... |
from natsort import natsorted
def natural_plus(*args, **kwargs) -> str:
"""An even more natural sorting order for isort using natsort."""
return natsorted(*args, **kwargs)
|
#! /bin/env python
import os
from textwrap import dedent
from typing import Any, Dict, Generator, Iterable, Optional, Type
from isort._future import dataclass
from isort.main import _build_arg_parser
from isort.settings import _DEFAULT_SETTINGS as config
OUTPUT_FILE = os.path.abspath(
os.path.join(os.path.dirname... |
#!/usr/bin/env python3
from sphinx.ext.intersphinx import fetch_inventory
URL = "https://docs.python.org/{}/objects.inv"
PATH = "isort/stdlibs/py{}.py"
VERSIONS = [("2", "7"), ("3", "5"), ("3", "6"), ("3", "7"), ("3", "8"), ("3", "9"), ("3", "10")]
DOCSTRING = """
File contains the standard library of Python {}.
DO... |
#!/usr/bin/env python3
import asyncio
import sys
from getpass import getpass
from pathlib import Path
from typing import Dict
import httpx
import hug
IGNORED_AUTHOR_LOGINS = {"deepsource-autofix[bot]"}
REPO = "pycqa/isort"
GITHUB_API_CONTRIBUTORS = f"https://api.github.com/repos/{REPO}/contributors"
GITHUB_USER_CONT... |
#! /bin/env python
import os
from typing import Any, Dict, Generator, Iterable, Type
from isort.profiles import profiles
OUTPUT_FILE = os.path.abspath(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "../docs/configuration/profiles.md")
)
HEADER = """Built-in Profile for isort
========
The following pr... |
PROFILE = {
"multi_line_output": 3,
"include_trailing_comma": True,
"force_grid_wrap": 0,
"use_parentheses": True,
"line_length": 100,
}
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from distutils.spawn import find_executable
from distutils import sysconfig, log
import setuptools
import setuptools.command.build_py
import setuptools.command.develop
im... |
#!/usr/bin/env python
import argparse
import os
import subprocess
import tempfile
MYPY = False
if MYPY:
from typing import Text
def parse_args(): # type: () -> argparse.Namespace
parser = argparse.ArgumentParser(os.path.basename(__file__))
parser.add_argument('-r', '--root',
def... |
#!/usr/bin/env python
# Taken from https://github.com/dropbox/mypy-protobuf/blob/d984389124eae6dbbb517f766b9266bb32171510/python/protoc-gen-mypy
# (Apache 2.0 License)
# with own fixes to
# - appease flake8
# - exit without error when protobuf isn't installed
# - fix recognition of whether an identifier is defined loc... |
#!/usr/bin/env python
import subprocess
import os
def main(): # type: () -> None
try:
root_folder = os.path.realpath(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
os.chdir(root_folder)
subprocess.check_call(["mypy", "."])
subprocess.check_call(["mypy", "--py2", ".... |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import io
import os
import re
import glob
import subprocess
from textwrap import dedent
autogen_header = """\
//
// WARNING: This f... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
from .onnx_cpp2py_export import ONNX_ML
from onnx.external_data_helper import load_external_data_for_model, write_external_data_tensors
from .onnx_pb import * ... |
"""onnx shape inference. Shape inference is not guaranteed to be
complete.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import onnx
import onnx.onnx_cpp2py_export.shape_inference as C
from onnx import ModelProt... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import onnx.checker
import onnx.helper
import onnx.optimizer
import onnx.shape_inference
from onnx import ModelProto
def polish_model(model): # type: (ModelProto) -> ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
import platform
import numpy as np # type: ignore
from onnx import TensorProto
from onnx import mapping
from six import text_type, binary_type
from typing im... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import collections
import numbers
from six import text_type, integer_types, binary_type
import google.protobuf.message
from onnx import TensorProto, SparseTensorProto, A... |
# ATTENTION: The code in this file is highly EXPERIMENTAL.
# Adventurous users should note that the APIs will probably change.
"""onnx optimizer
This enables users to optimize their models.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import uuid
import os
from itertools import chain
from typing import Iterable, Text, Optional
from .onnx_pb import TensorProto, ModelProto
class ExternalDataInfo(object... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from onnx import TensorProto
from typing import Text, Any
import numpy as np # type: ignore
TENSOR_TYPE_TO_NP_TYPE = {
int(TensorProto.FLOAT): np.dtype('float32'),
... |
"""onnx version converter
This enables users to convert their models between different opsets within the
default domain ("" or "ai.onnx").
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import onnx
import onnx.on... |
"""onnx checker
This implements graphalities that allows us to check whether a serialized
proto is legal.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import functools
from onnx import (ValueInfoProto,
... |
# A library and utility for drawing ONNX nets. Most of this implementation has
# been borrowed from the caffe2 implementation
# https://github.com/caffe2/caffe2/blob/master/caffe2/python/net_drawer.py
#
# The script takes two required arguments:
# -input: a path to a serialized ModelProto .pb file.
# -output: a pat... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from six import string_types
from typing import Any, List, Text, Dict, Set
from onnx import ModelProto, ValueInfoProto
import onnx.checker
def update_inputs_outputs_di... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from onnx import checker, helper, ModelProto, TensorProto, GraphProto, NodeProto, shape_inference
from typing import Sequence, Text, Any, Tuple, List, Callable
from onnx ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
from typing import Sequence
import numpy as np # type: ignore
from onnx import checker, helper
from onnx import TensorProto, GraphProto, SparseTensorPro... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import random
import numpy as np # type: ignore
from onnx import helper, defs, numpy_helper, checker
from onnx import AttributeProto, TensorProto, GraphProto
from typi... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import onnx.utils
from onnx import helper, TensorProto
class TestUtilityFunctions(unittest.TestCase):
def test_polish_model(self): # type: () -> No... |
import unittest
from onnx import defs, AttributeProto
class TestSchema(unittest.TestCase):
def test_get_schema(self): # type: () -> None
defs.get_schema("Relu")
def test_typecheck(self): # type: () -> None
defs.get_schema("Conv")
def test_attr_default_value(self): # type: () -> None... |
import tempfile
import unittest
import uuid
import numpy as np # type: ignore
import shutil
import os
import os.path as Path
import onnx
from onnx import checker, helper
from onnx import ModelProto, TensorProto
from onnx.external_data_helper import set_external_data
from onnx.external_data_helper import convert_mod... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from onnx import checker, helper, ModelProto, TensorProto, GraphProto, NodeProto, OperatorSetIdProto
from typing import Sequence, Text, Tuple, List, Callable
from onnx im... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import itertools
import os
import platform
import unittest
import onnx.backend.base
import onnx.backend.test
from onnx.backend.base import Device, DeviceType
from onnx.b... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import onnx
from onnx.tools import update_model_dims
from onnx import helper, TensorProto
class TestToolsFunctions(unittest.TestCase):
def test_upda... |
import unittest
from onnx import defs, helper
class TestRelu(unittest.TestCase):
def test_relu(self): # type: () -> None
self.assertTrue(defs.has('Relu'))
helper.make_node(
'Relu', ['X'], ['Y'])
if __name__ == '__main__':
unittest.main()
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from onnx import checker, helper, TensorProto, NodeProto, GraphProto, ValueInfoProto, ModelProto, ONNX_ML, SparseTensorProto
from onnx.helper import make_node, make_tenso... |
import unittest
from onnx import defs, checker, helper
class TestRelu(unittest.TestCase):
def test_elu(self): # type: () -> None
self.assertTrue(defs.has('Elu'))
node_def = helper.make_node(
'Elu', ['X'], ['Y'], alpha=1.0)
checker.check_node(node_def)
if __name__ == '__mai... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
from onnx import numpy_helper
import unittest
class TestNumpyHelper(unittest.TestCase):
def _test_numpy_helper_float_type(self... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from onnx import AttributeProto, NodeProto, GraphProto, ModelProto, TensorProto, IR_VERSION
import io
import onnx
import os
import tempfile
import unittest
from onnx im... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
from onnx import load, checker, NodeProto
def check_model(): # type: () -> None
parser = argparse.ArgumentParser('check-model')
parser.add_arg... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
from typing import Text, Sequence, Any, Type, Tuple, NewType, Optional, Dict
import six
import numpy # type: ignore
import onnx.chec... |
#!/usr/bin/env python
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import io
from onnx import defs, load, AttributeProto
from onnx.backend.test.case import collect_snippets
from onnx.backend.test.runner i... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
# for backward compatibility
from .runner import Runner as BackendTest # noqa
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import json
import os
import shutil
import onnx.backend.test.case.node as node_test
import onnx.backend.test.case.model as model_test
from onnx import nu... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import defaultdict
import functools
import glob
import os
import re
import shutil
import sys
import tarfile
import tempfile
import time
import unittest
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from typing import Callable, Any, Union, List, Optional
from onnx import NodeProto, ModelProto
# A container that hosts the test function and the associated
# test item... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import os
from ..case.test_case import TestCase
from typing import List, Text, Optional
DATA_DIR = os.path.join(
os.path.dirname(os.path.realpath(os.pat... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
from .base import Snippets
from .utils import import_recursive
from typing import Dict, Text, List, Tuple
def collect_snippets(): # type: () -> Dict[Text, ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import namedtuple
TestCase = namedtuple('TestCase', [
'name',
'model_name',
'url',
'model_dir',
'model',
'data_sets',
'kind'... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import importlib
import pkgutil
from types import ModuleType
from typing import Optional, List
import numpy as np # type: ignore
all_numeric_dtypes = [
np.int8, np.int16, np.int32, np.int64,
np.uint... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from collections import defaultdict
import inspect
from textwrap import dedent
from typing import Dict, Text, List, Tuple, Type, Sequence, Any
import numpy as np # type... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ShrinkTest(Base):
@staticmethod
def export(): # type: () ->... |
# coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from typing import Sequence
class NormalizeStrings(Base):
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Gradient(Base):
@staticmethod
def export_gradient_scalar_add... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
import typing
from ..base import Base
from . import expect
from onnx import TensorProto
from typing import List, Optional,... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
import onnx.defs
import numpy as np # type: ignore
from onnx import ModelProto
from typing import List, Optional, Text, Sequence
from ..utils import import_r... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class SingleRelu(Base):
@staticmethod
def export(): # type: () ->... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from typing import Sequence
class SingleSign(Base):
@staticmethod
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from typing import Sequence
class ExpandDynamicShape(Base):
@staticmet... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class GlobalMaxPool(Base):
@staticmethod
def export(): # type: ()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Tile(Base):
@staticmethod
def export_tile(): # type: () -> ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Hardmax(Base):
@staticmethod
def export(): # type: () -> No... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from ..utils import all_numeric_dtypes
class Max(Base):
@staticmethod
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceSum(Base):
@staticmethod
def export_do_not_keepdims():... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class MatMul(Base):
@staticmethod
def export(): # type: () -> Non... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Gather(Base):
@staticmethod
def export_gather_0(): # type: ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class MeanVarianceNormalization(Base):
@staticmethod
def export():... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Asinh(Base):
@staticmethod
def export(): # type: () -> None... |
# coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from onnx import TensorProto
from onnx.mapping import TENSOR_TYPE_TO_NP_TYPE
from ..base import Base
fro... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import math
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Det(Base):
@staticmethod
def export_2d(): # ty... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ConvTranspose(Base):
@staticmethod
def export(): # type: ()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def pow(x, y): # type: ignore
z = np.power(x, y).astype(x.dtype)
r... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Acosh(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class InstanceNormalization(Base):
@staticmethod
def export(): # ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ThresholdedRelu(Base):
@staticmethod
def export(): # type: ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Neg(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Tanh(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class IsInf(Base):
@staticmethod
def export_infinity(): # type: (... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Flatten(Base):
@staticmethod
def export(): # type: () -> No... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Equal(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Softsign(Base):
@staticmethod
def export(): # type: () -> N... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Shrink(Base):
@staticmethod
def export_hard_shrink(): # typ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Add(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class NonZero(Base):
@staticmethod
def export(): # type: () -> No... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class BatchNormalization(Base):
@staticmethod
def export(): # typ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class IsNaN(Base):
@staticmethod
def export(): # type: () -> None... |
# coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class StringNormalizer(Base):
@staticmethod
def e... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Slice(Base):
@staticmethod
def export_slice(): # type: () -... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Sqrt(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Less(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Div(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceLogSum(Base):
@staticmethod
def export_nokeepdims(): ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Range(Base):
@staticmethod
def export_range_float_type_posit... |
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