code stringlengths 118 171k | apis list | extract_api stringlengths 145 164k |
|---|---|---|
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.tensor_list_to_tensor_buffer",
"oneflow.compatible.single_client.clear_default_session",
"oneflow.compatible.single_client.global_function",
"oneflow.compatible.single_client.image_normalize",
"oneflow.compatible.single_c... | [((2924, 3010), 'unittest.skipIf', 'unittest.skipIf', (['(True)', '"""skip for now because of single-client tensor_list removed"""'], {}), "(True,\n 'skip for now because of single-client tensor_list removed')\n", (2939, 3010), False, 'import unittest\n'), ((811, 839), 'oneflow.compatible.single_client.clear_default... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.unittest.skip_unless_1n1d",
"oneflow.tensor"
] | [((762, 794), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (792, 794), True, 'import oneflow as flow\n'), ((1654, 1686), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (1684, 1686), True, 'import oneflow as flow\n'), ((2633, 2665), 'o... |
"""
Modified from https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/layers/eca.py
"""
import math
import oneflow as flow
import oneflow.nn as nn
import oneflow.nn.functional as F
class EcaModule(nn.Module):
"""ECA module
"""
# TODO: add docstring
def __init__(
self, ... | [
"oneflow.nn.Conv1d"
] | [((688, 757), 'oneflow.nn.Conv1d', 'nn.Conv1d', (['(1)', '(1)'], {'kernel_size': 'kernel_size', 'padding': 'padding', 'bias': '(False)'}), '(1, 1, kernel_size=kernel_size, padding=padding, bias=False)\n', (697, 757), True, 'import oneflow.nn as nn\n'), ((496, 517), 'math.log', 'math.log', (['channels', '(2)'], {}), '(c... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.nn.Sequential",
"oneflow.nn.ModuleList",
"oneflow.nn.Linear",
"oneflow.nn.ModuleDict",
"oneflow.framework.graph_build_util.scope_to_proto",
"oneflow.nn.init.constant_",
"oneflow._C.matmul",
"oneflow.framework.graph_build_util.lazy_mode.is_enabled",
"oneflow.randn",
"oneflow.nn.ParameterDi... | [((875, 907), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (905, 907), True, 'import oneflow as flow\n'), ((815, 849), 'os.getenv', 'os.getenv', (['"""ONEFLOW_TEST_CPU_ONLY"""'], {}), "('ONEFLOW_TEST_CPU_ONLY')\n", (824, 849), False, 'import os\n'), ((11701, 11716), 'unittest... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow._C.reduce_mean",
"oneflow.nn.modules.utils._check_axis",
"oneflow._C.reduce_sum",
"oneflow._C.reduce_prod",
"oneflow._C.reduce_all",
"oneflow._C.reduce_any"
] | [((885, 914), 'oneflow.nn.modules.utils._check_axis', '_check_axis', (['dim', 'input.shape'], {}), '(dim, input.shape)\n', (896, 914), False, 'from oneflow.nn.modules.utils import _check_axis\n'), ((978, 1040), 'oneflow._C.reduce_sum', 'flow._C.reduce_sum', (['input'], {'axis': 'axis_checked', 'keepdims': 'keepdim'}), ... |
import json
from oneflow import nn
class BertConfig(object):
def __init__(
self,
vocab_size=30522,
hidden_size=768,
num_hidden_layers=12,
num_attention_heads=12,
intermediate_size=3072,
hidden_act=nn.GELU(),
hidden_dropout_prob=0.1,
attentio... | [
"oneflow.nn.GELU"
] | [((260, 269), 'oneflow.nn.GELU', 'nn.GELU', ([], {}), '()\n', (267, 269), False, 'from oneflow import nn\n'), ((1826, 1841), 'json.load', 'json.load', (['file'], {}), '(file)\n', (1835, 1841), False, 'import json\n')] |
import math, os
import argparse
import numpy as np
import oneflow as flow
from config import config, default, generate_val_config
import ofrecord_util
import validation_util
from symbols import fresnet100, fmobilefacenet
def get_val_args():
val_parser = argparse.ArgumentParser(description="flags for validation")
... | [
"oneflow.typing.Numpy.Placeholder",
"oneflow.scope.consistent_view",
"oneflow.env.log_dir",
"oneflow.config.gpu_device_num",
"oneflow.function_config",
"oneflow.checkpoint.get",
"oneflow.global_function",
"oneflow.scope.placement"
] | [((260, 319), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""flags for validation"""'}), "(description='flags for validation')\n", (283, 319), False, 'import argparse\n'), ((436, 469), 'config.generate_val_config', 'generate_val_config', (['args.network'], {}), '(args.network)\n', (455, ... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.function_config",
"oneflow.compatible.single_client.FixedTensorDef",
"oneflow.compatible.single_client.clear_default_session",
"oneflow.compatible.single_client.matmul",
"oneflow.compatible.single_client.global_function"
] | [((740, 762), 'oneflow.compatible.single_client.function_config', 'flow.function_config', ([], {}), '()\n', (760, 762), True, 'from oneflow.compatible import single_client as flow\n'), ((914, 942), 'oneflow.compatible.single_client.global_function', 'flow.global_function', (['config'], {}), '(config)\n', (934, 942), Tr... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.nn.Quantization",
"oneflow.device",
"oneflow.nn.MinMaxObserver"
] | [((1178, 1192), 'numpy.max', 'np.max', (['weight'], {}), '(weight)\n', (1184, 1192), True, 'import numpy as np\n'), ((1210, 1224), 'numpy.min', 'np.min', (['weight'], {}), '(weight)\n', (1216, 1224), True, 'import numpy as np\n'), ((2755, 2777), 'numpy.zeros', 'np.zeros', (['(outer_num,)'], {}), '((outer_num,))\n', (27... |
import sys
import math
sys.path.insert(0, '../../')
import oneflow as of
import oneflow.nn as nn
import oneflow.nn.functional as F
# from torch import nn
# import torch.nn.functional as F
# import torch
from libs.components.conv import conv3x3
from libs.components.activation import ReLU20
from libs.components impo... | [
"oneflow.nn.Sequential",
"oneflow.nn.BatchNorm2d",
"oneflow.nn.Conv2d",
"oneflow.nn.Linear"
] | [((23, 51), 'sys.path.insert', 'sys.path.insert', (['(0)', '"""../../"""'], {}), "(0, '../../')\n", (38, 51), False, 'import sys\n'), ((5317, 5345), 'yaml.load', 'yaml.load', (['f'], {'Loader': 'CLoader'}), '(f, Loader=CLoader)\n', (5326, 5345), False, 'import yaml\n'), ((550, 588), 'libs.components.conv.conv3x3', 'con... |
import os
import sys
sys.path.append(
os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))
)
import argparse
import numpy as np
import time
import oneflow as flow
from models.resnet50 import resnet50
from utils.imagenet1000_clsidx_to_labels import clsidx_2_labels
from utils.numpy_data_utils ... | [
"oneflow.load",
"oneflow.device",
"oneflow.no_grad"
] | [((372, 422), 'argparse.ArgumentParser', 'argparse.ArgumentParser', (['"""flags for test resnet50"""'], {}), "('flags for test resnet50')\n", (395, 422), False, 'import argparse\n'), ((1197, 1216), 'time.perf_counter', 'time.perf_counter', ([], {}), '()\n', (1214, 1216), False, 'import time\n'), ((1266, 1276), 'models.... |
# coding=utf-8
# Copyright 2021 The OneFlow Authors. All rights reserved.
#
# 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 require... | [
"oneflow.softmax",
"oneflow.sigmoid"
] | [((1425, 1483), 'libai.config.instantiate', 'instantiate', (['self.cfg.dataloader.test[0].dataset.transform'], {}), '(self.cfg.dataloader.test[0].dataset.transform)\n', (1436, 1483), False, 'from libai.config import instantiate\n'), ((1821, 1843), 'os.path.exists', 'os.path.exists', (['inputs'], {}), '(inputs)\n', (183... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.comm.all_reduce",
"oneflow.unittest.skip_unless_1n2d",
"oneflow.tensor",
"oneflow.unittest.skip_unless_2n2d"
] | [((725, 757), 'oneflow.unittest.skip_unless_1n2d', 'flow.unittest.skip_unless_1n2d', ([], {}), '()\n', (755, 757), True, 'import oneflow as flow\n'), ((1009, 1041), 'oneflow.unittest.skip_unless_2n2d', 'flow.unittest.skip_unless_2n2d', ([], {}), '()\n', (1039, 1041), True, 'import oneflow as flow\n'), ((1293, 1325), 'o... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.math.tanh",
"oneflow.compatible.single_client.user_op_builder",
"oneflow.compatible.single_client.framework.id_util.UniqueStr"
] | [((35709, 35732), 'oneflow.compatible.single_client.math.tanh', 'flow.math.tanh', (['x', 'name'], {}), '(x, name)\n', (35723, 35732), True, 'from oneflow.compatible import single_client as flow\n'), ((1300, 1332), 'oneflow.compatible.single_client.framework.id_util.UniqueStr', 'id_util.UniqueStr', (["(math_op + '_')"],... |
import numpy as np
import oneflow as flow
import oneflow.nn as nn
def _make_divisible(v, divisor, min_value=None):
"""
This function is taken from the original tf repo.
It ensures that all layers have a channel number that is divisible by 8
It can be seen here:
https://github.com/tensorflow/models... | [
"oneflow.nn.Sequential",
"oneflow.nn.init.kaiming_normal_",
"oneflow.nn.init.normal_",
"oneflow.nn.ReLU6",
"oneflow.log",
"oneflow.nn.MaxPool1d",
"oneflow.nn.Conv1d",
"oneflow.zeros",
"oneflow.ones",
"oneflow.nn.Dropout",
"oneflow.nn.BatchNorm1d",
"oneflow.nn.LogSoftmax",
"oneflow.nn.init.ze... | [((2412, 2434), 'oneflow.nn.Sequential', 'nn.Sequential', (['*layers'], {}), '(*layers)\n', (2425, 2434), True, 'import oneflow.nn as nn\n'), ((4977, 5001), 'oneflow.nn.Sequential', 'nn.Sequential', (['*features'], {}), '(*features)\n', (4990, 5001), True, 'import oneflow.nn as nn\n'), ((5231, 5251), 'oneflow.nn.BatchN... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.typing.ListNumpy.Placeholder",
"oneflow.compatible.single_client.constant_initializer",
"oneflow.compatible.single_client.scope.placement",
"oneflow.compatible.single_client.watch_diff",
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.... | [((3557, 3589), 'oneflow.compatible.single_client.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (3587, 3589), True, 'from oneflow.compatible import single_client as flow\n'), ((1492, 1543), 'numpy.random.randint', 'np.random.randint', (['(0)', 'input_shape[dim]', 'index_shape'], {}), '... |
import oneflow as flow
import oneflow.nn as nn
from quantization_ops import *
__all__ = ["QuantizationAlexNet"]
class QuantizationAlexNet(nn.Module):
def __init__(self, num_classes: int = 1000) -> None:
super(QuantizationAlexNet, self).__init__()
self.features = nn.Sequential(
nn.Conv... | [
"oneflow.nn.ReLU",
"oneflow.nn.AdaptiveAvgPool2d",
"oneflow.nn.Dropout",
"oneflow.nn.MaxPool2d",
"oneflow.nn.Conv2d",
"oneflow.nn.Linear",
"oneflow.flatten"
] | [((964, 992), 'oneflow.nn.AdaptiveAvgPool2d', 'nn.AdaptiveAvgPool2d', (['(6, 6)'], {}), '((6, 6))\n', (984, 992), True, 'import oneflow.nn as nn\n'), ((1409, 1427), 'oneflow.flatten', 'flow.flatten', (['x', '(1)'], {}), '(x, 1)\n', (1421, 1427), True, 'import oneflow as flow\n'), ((3228, 3256), 'oneflow.nn.AdaptiveAvgP... |
import sys
import time
import logging
import yaml
import os
sys.path.insert(0, "../../")
import oneflow as of
from oneflow.utils.data import DataLoader
import oneflow.optim as optim
from oneflow.optim import lr_scheduler
import oneflow.distributed as dist
import libs.dataio.dataset as dataset
from libs.utils.utils im... | [
"oneflow.load",
"oneflow.device"
] | [((60, 88), 'sys.path.insert', 'sys.path.insert', (['(0)', '"""../../"""'], {}), "(0, '../../')\n", (75, 88), False, 'import sys\n'), ((795, 836), 'os.path.exists', 'os.path.exists', (["self.train_opts['resume']"], {}), "(self.train_opts['resume'])\n", (809, 836), False, 'import os\n'), ((2455, 2472), 'oneflow.device',... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.scope.placement",
"oneflow.compatible.single_client.zeros_initializer",
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.global_function",
"oneflow.compatible.single_client.cast",
"oneflow.compatible.single_client.optimizer.PiecewiseCon... | [((966, 1017), 'tensorflow.config.experimental.list_physical_devices', 'tf.config.experimental.list_physical_devices', (['"""GPU"""'], {}), "('GPU')\n", (1010, 1017), True, 'import tensorflow as tf\n'), ((3542, 3574), 'oneflow.compatible.single_client.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {... |
"""
Modified from https://github.com/clovaai/rexnet/blob/master/rexnetv1_lite.py
"""
import oneflow as flow
import oneflow.nn as nn
from .utils import load_state_dict_from_url
from .registry import ModelCreator
from .helpers import make_divisible
model_urls = {
"rexnet_lite_1_0": "https://oneflow-public.oss-cn-b... | [
"oneflow.nn.Sequential",
"oneflow.nn.ReLU6",
"oneflow.nn.ReLU",
"oneflow.nn.AdaptiveAvgPool2d",
"oneflow.nn.BatchNorm2d",
"oneflow.nn.Dropout",
"oneflow.nn.Conv2d"
] | [((1038, 1125), 'oneflow.nn.Conv2d', 'nn.Conv2d', (['in_channels', 'channels', 'kernel', 'stride', 'pad'], {'groups': 'num_group', 'bias': '(False)'}), '(in_channels, channels, kernel, stride, pad, groups=num_group,\n bias=False)\n', (1047, 1125), True, 'import oneflow.nn as nn\n'), ((1165, 1223), 'oneflow.nn.BatchN... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.python.oneflow_export.oneflow_export",
"oneflow.compatible.single_client.builtin_op"
] | [((828, 866), 'oneflow.compatible.single_client.python.oneflow_export.oneflow_export', 'oneflow_export', (['"""nn.AdaptiveAvgPool2d"""'], {}), "('nn.AdaptiveAvgPool2d')\n", (842, 866), False, 'from oneflow.compatible.single_client.python.oneflow_export import oneflow_export, experimental_api\n'), ((3649, 3685), 'doctes... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.zeros_like",
"oneflow.stateful_op",
"oneflow._C.dispatch_lamb_update",
"oneflow.no_grad"
] | [((5580, 5594), 'oneflow.no_grad', 'flow.no_grad', ([], {}), '()\n', (5592, 5594), True, 'import oneflow as flow\n'), ((7460, 7553), 'oneflow._C.dispatch_lamb_update', 'flow._C.dispatch_lamb_update', (['self._op', '(param, param.grad, m_tensor, v_tensor)'], {}), '(self._op, (param, param.grad, m_tensor,\n v_tensor),... |
# coding=utf-8
# Copyright 2021 The OneFlow Authors. All rights reserved.
#
# 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 require... | [
"oneflow.unittest.skip_unless_1n4d"
] | [((3457, 3489), 'oneflow.unittest.skip_unless_1n4d', 'flow.unittest.skip_unless_1n4d', ([], {}), '()\n', (3487, 3489), True, 'import oneflow as flow\n'), ((4004, 4036), 'oneflow.unittest.skip_unless_1n4d', 'flow.unittest.skip_unless_1n4d', ([], {}), '()\n', (4034, 4036), True, 'import oneflow as flow\n'), ((4535, 4567)... |
# https://github.com/Kenneth111/TransformerDemo/blob/master/predict_odd_numbers.py
import sys
import argparse
import os
import shutil
import numpy as np
import oneflow as flow
import oneflow.nn as nn
sys.path.append("../")
from model import TransformerModel
TO_CUDA = True
parser = argparse.ArgumentParser()
parser.... | [
"oneflow.load",
"oneflow.Tensor",
"oneflow.nn.CrossEntropyLoss",
"oneflow.tensor",
"oneflow.no_grad"
] | [((202, 224), 'sys.path.append', 'sys.path.append', (['"""../"""'], {}), "('../')\n", (217, 224), False, 'import sys\n'), ((286, 311), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (309, 311), False, 'import argparse\n'), ((1506, 1528), 'numpy.random.shuffle', 'np.random.shuffle', (['idx'], {}... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.placement",
"oneflow.Generator",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.randint",
"oneflow.device"
] | [((2770, 2802), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (2800, 2802), True, 'import oneflow as flow\n'), ((1902, 1918), 'oneflow.Generator', 'flow.Generator', ([], {}), '()\n', (1916, 1918), True, 'import oneflow as flow\n'), ((5497, 5512), 'unittest.main', 'unittest.mai... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.experimental.nn.Softmax",
"oneflow.experimental.nn.ReLU",
"oneflow.experimental.nn.LeakyReLU",
"oneflow.experimental.unittest.env.eager_execution_enabled",
"oneflow.experimental.nn.LogSoftmax",
"oneflow.experimental.nn.GELU",
"oneflow.experimental.gelu",
"oneflow.experimental.tanh",
"oneflo... | [((3816, 3825), 'numpy.exp', 'np.exp', (['x'], {}), '(x)\n', (3822, 3825), True, 'import numpy as np\n'), ((8676, 8691), 'unittest.main', 'unittest.main', ([], {}), '()\n', (8689, 8691), False, 'import unittest\n'), ((866, 880), 'oneflow.experimental.nn.ReLU', 'flow.nn.ReLU', ([], {}), '()\n', (878, 880), True, 'import... |
"""
"""
import os
from os.path import abspath, expanduser
from typing import Any, Callable, List, Dict, Optional, Tuple, Union
import oneflow as flow
from PIL import Image
from .utils import (
download_file_from_google_drive,
download_and_extract_archive,
extract_archive,
verify_str_arg,
)
from .visio... | [
"oneflow.tensor"
] | [((3785, 3829), 'PIL.Image.open', 'Image.open', (["self.img_info[index]['img_path']"], {}), "(self.img_info[index]['img_path'])\n", (3795, 3829), False, 'from PIL import Image\n'), ((4542, 4595), 'os.path.join', 'os.path.join', (['self.root', '"""wider_face_split"""', 'filename'], {}), "(self.root, 'wider_face_split', ... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.reshape",
"oneflow.device"
] | [((1425, 1440), 'unittest.main', 'unittest.main', ([], {}), '()\n', (1438, 1440), False, 'import unittest\n'), ((1061, 1096), 'oneflow.reshape', 'flow.reshape', (['arg'], {'shape': '[2, 2, -1]'}), '(arg, shape=[2, 2, -1])\n', (1073, 1096), True, 'import oneflow as flow\n'), ((824, 852), 'numpy.random.random', 'np.rando... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.unittest.skip_unless_1n1d",
"oneflow.device"
] | [((7293, 7325), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (7323, 7325), True, 'import oneflow as flow\n'), ((8608, 8623), 'unittest.main', 'unittest.main', ([], {}), '()\n', (8621, 8623), False, 'import unittest\n'), ((2685, 2701), 'numpy.zeros_like', 'np.zeros_like', (['x... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.python.oneflow_export.oneflow_export"
] | [((1077, 1114), 'oneflow.python.oneflow_export.oneflow_export', 'oneflow_export', (['"""is_valid_device_tag"""'], {}), "('is_valid_device_tag')\n", (1091, 1114), False, 'from oneflow.python.oneflow_export import oneflow_export\n')] |
from .lstm_oneflow import LSTM
import oneflow.nn as nn
class lstm_ser(nn.Module):
def __init__(self, input_dim, hidden_dim, output_dim, batch_size):
super(lstm_ser, self).__init__()
self.classifier = nn.Sequential(
LSTM(input_dim, hidden_dim, batch_size),
nn.Dropout(0.5),
... | [
"oneflow.nn.Linear",
"oneflow.nn.Dropout",
"oneflow.nn.ReLU"
] | [((302, 317), 'oneflow.nn.Dropout', 'nn.Dropout', (['(0.5)'], {}), '(0.5)\n', (312, 317), True, 'import oneflow.nn as nn\n'), ((331, 356), 'oneflow.nn.Linear', 'nn.Linear', (['hidden_dim', '(32)'], {}), '(hidden_dim, 32)\n', (340, 356), True, 'import oneflow.nn as nn\n'), ((370, 379), 'oneflow.nn.ReLU', 'nn.ReLU', ([],... |
import os
from os import mkdir
import oneflow.typing as tp
import onnx
import onnxruntime as ort
import numpy as np
from oneflow_onnx.oneflow2onnx.util import convert_to_onnx_and_check
import oneflow as flow
import logging
from easydict import EasyDict as edict
from backbones import get_model
from utils.utils_config i... | [
"oneflow.global_function",
"oneflow.typing.Numpy.Placeholder"
] | [((405, 427), 'oneflow.global_function', 'flow.global_function', ([], {}), '()\n', (425, 427), True, 'import oneflow as flow\n'), ((705, 746), 'logging.basicConfig', 'logging.basicConfig', ([], {'level': 'logging.NOTSET'}), '(level=logging.NOTSET)\n', (724, 746), False, 'import logging\n'), ((751, 780), 'logging.info',... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.eager.boxing_middle.BoxingToMiddle",
"oneflow._oneflow_internal.deprecated.ForeignBoxingUtil.__init__",
"oneflow.eager.boxing_middle.ReplaceProducerDeviceTag",
"oneflow.support.enable_if.condition",
"oneflow.eager.boxing_hob.producer_sbp_parallel.HasField",
"oneflow._oneflow_internal.deprecated.B... | [((8970, 9035), 'oneflow.eager.boxing_hob.producer_sbp_parallel.HasField', 'boxing_hob.producer_sbp_parallel.HasField', (['"""partial_sum_parallel"""'], {}), "('partial_sum_parallel')\n", (9011, 9035), True, 'import oneflow.eager.boxing_hob as boxing_hob\n'), ((9055, 9118), 'oneflow.eager.boxing_hob.consumer_sbp_parall... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.typing.Numpy.Placeholder",
"oneflow.scope.consistent_view",
"oneflow.constant_initializer",
"oneflow.clear_default_session",
"oneflow.config.cpu_device_num",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.typing.ListNumpy.Placeholder",
"oneflow.scope.mirrored_view",
"oneflow.cast_to_current_... | [((6957, 6989), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (6987, 6989), True, 'import oneflow as flow\n'), ((10234, 10320), 'unittest.skipIf', 'unittest.skipIf', (['(True)', '"""skip for now because of single-client tensor_list removed"""'], {}), "(True,\n 'skip for now... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 l... | [
"oneflow.experimental.nn.NLLLoss",
"oneflow.experimental.device",
"oneflow.experimental.unittest.env.eager_execution_enabled"
] | [((2961, 2994), 'oneflow.experimental.nn.NLLLoss', 'flow.nn.NLLLoss', ([], {'reduction': '"""none"""'}), "(reduction='none')\n", (2976, 2994), True, 'import oneflow.experimental as flow\n'), ((3771, 3804), 'oneflow.experimental.nn.NLLLoss', 'flow.nn.NLLLoss', ([], {'reduction': '"""mean"""'}), "(reduction='mean')\n", (... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.python.framework.c_api_util.JobBuildAndInferCtx_MirroredBlobGetSubLbi",
"oneflow._oneflow_internal.JobBuildAndInferCtx_GetCurrentJobName",
"oneflow._oneflow_internal.distribute.auto",
"oneflow.current_scope",
"oneflow.python.framework.compile_context.CurJobAddMirroredOp",
"oneflow.core.operator.i... | [((8929, 8961), 'oneflow.python.oneflow_export.oneflow_export', 'oneflow_export', (['"""FixedTensorDef"""'], {}), "('FixedTensorDef')\n", (8943, 8961), False, 'from oneflow.python.oneflow_export import oneflow_export\n'), ((9730, 9765), 'oneflow.python.oneflow_export.oneflow_export', 'oneflow_export', (['"""MirroredTen... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.nn.modules.utils._single",
"oneflow.default_generator",
"oneflow.F.consistent_randn",
"oneflow.Generator",
"oneflow.F.bernoulli",
"oneflow.F.randn",
"oneflow.device"
] | [((1781, 1829), 'oneflow.F.bernoulli', 'flow.F.bernoulli', (['input', 'flow.float32', 'generator'], {}), '(input, flow.float32, generator)\n', (1797, 1829), True, 'import oneflow as flow\n'), ((5795, 5831), 'doctest.testmod', 'doctest.testmod', ([], {'raise_on_error': '(True)'}), '(raise_on_error=True)\n', (5810, 5831)... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.framework.docstr.utils.add_docstr"
] | [((660, 4474), 'oneflow.framework.docstr.utils.add_docstr', 'add_docstr', (['oneflow.searchsorted', '"""\n searchsorted() -> oneflow.Tensor\n\n The documentation is referenced from: https://pytorch.org/docs/1.10/generated/torch.searchsorted.html?highlight=searchsorted\n\n Find the indices from the innermost di... |
"""
Modified from https://github.com/pytorch/vision/blob/main/torchvision/ops/stochastic_depth.py
"""
import oneflow as flow
import oneflow.nn as nn
from oneflow import Tensor
def stochastic_depth(
input: Tensor, p: float, mode: str, training: bool = True
) -> Tensor:
"""
Implements the Stochastic Depth f... | [
"oneflow.ones",
"oneflow.bernoulli"
] | [((1692, 1726), 'oneflow.ones', 'flow.ones', (['size'], {'dtype': 'input.dtype'}), '(size, dtype=input.dtype)\n', (1701, 1726), True, 'import oneflow as flow\n'), ((1824, 1845), 'oneflow.bernoulli', 'flow.bernoulli', (['noise'], {}), '(noise)\n', (1838, 1845), True, 'import oneflow as flow\n')] |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.function_config",
"oneflow.compatible.single_client.FixedTensorDef",
"oneflow.compatible.single_client.clear_default_session",
"oneflow.compatible.single_client.global_function",
"oneflow.compatible.single_client.math.multiply",
"oneflow.compatible.single_client.math.add"... | [((689, 711), 'oneflow.compatible.single_client.function_config', 'flow.function_config', ([], {}), '()\n', (709, 711), True, 'from oneflow.compatible import single_client as flow\n'), ((3370, 3385), 'unittest.main', 'unittest.main', ([], {}), '()\n', (3383, 3385), False, 'import unittest\n'), ((1214, 1242), 'oneflow.c... |
from typing import Sequence
import oneflow.experimental as flow
import argparse
import numpy as np
import os
import time
import sys
import oneflow.experimental.nn as nn
import json
from tqdm import tqdm
sys.path.append(os.path.abspath(os.path.join(os.getcwd(), "model_compress/distil_new_api/src")))
curPath = os.path.ab... | [
"oneflow.experimental.InitEagerGlobalSession",
"oneflow.experimental.nn.Softmax",
"oneflow.experimental.no_grad",
"oneflow.experimental.nn.Linear",
"oneflow.experimental.load",
"oneflow.experimental.enable_eager_execution",
"oneflow.experimental.nn.CrossEntropyLoss"
] | [((326, 351), 'os.path.dirname', 'os.path.dirname', (['__file__'], {}), '(__file__)\n', (341, 351), False, 'import os\n'), ((364, 386), 'os.path.split', 'os.path.split', (['curPath'], {}), '(curPath)\n', (377, 386), False, 'import os\n'), ((1063, 1083), 'config.get_parser', 'configs.get_parser', ([], {}), '()\n', (1081... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.save",
"oneflow.sysconfig.with_mlir",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.core.job.job_pb2.Job",
"oneflow.placement"
] | [((1571, 1603), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (1601, 1603), True, 'import oneflow as flow\n'), ((2656, 2671), 'unittest.main', 'unittest.main', ([], {}), '()\n', (2669, 2671), False, 'import unittest\n'), ((663, 688), 'os.path.dirname', 'os.path.dirname', (['__... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.ones_initializer",
"oneflow.typing.Numpy.Placeholder",
"oneflow.gather",
"oneflow.clear_default_session",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.unittest.env.eager_execution_enabled",
"oneflow.math.relu",
"oneflow.optimizer.PiecewiseConstantScheduler",
"oneflow.FunctionConfig",
"on... | [((788, 839), 'tensorflow.config.experimental.list_physical_devices', 'tf.config.experimental.list_physical_devices', (['"""GPU"""'], {}), "('GPU')\n", (832, 839), True, 'import tensorflow as tf\n'), ((31375, 31407), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (31405, 31407)... |
# coding=utf-8
# Copyright 2021 The OneFlow Authors. All rights reserved.
#
# 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 require... | [
"oneflow.zeros",
"oneflow.env.all_device_placement"
] | [((1129, 1156), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1146, 1156), False, 'import logging\n'), ((3042, 3049), 'libai.utils.timer.Timer', 'Timer', ([], {}), '()\n', (3047, 3049), False, 'from libai.utils.timer import Timer\n'), ((3106, 3125), 'time.perf_counter', 'time.perf_count... |
"""
Modified from https://github.com/facebookresearch/ConvNeXt/blob/main/models/convnext.py
"""
import oneflow as flow
import oneflow.nn as nn
import oneflow.nn.functional as F
from flowvision.layers import trunc_normal_, DropPath
from .registry import ModelCreator
from .utils import load_state_dict_from_url
model_... | [
"oneflow.nn.ModuleList",
"oneflow.nn.LayerNorm",
"oneflow.sqrt",
"oneflow.nn.init.constant_",
"oneflow.zeros",
"oneflow.nn.GELU",
"oneflow.ones",
"oneflow.nn.Identity",
"oneflow.linspace",
"oneflow.nn.Conv2d",
"oneflow.nn.Linear"
] | [((3857, 3914), 'oneflow.nn.Conv2d', 'nn.Conv2d', (['dim', 'dim'], {'kernel_size': '(7)', 'padding': '(3)', 'groups': 'dim'}), '(dim, dim, kernel_size=7, padding=3, groups=dim)\n', (3866, 3914), True, 'import oneflow.nn as nn\n'), ((4023, 4046), 'oneflow.nn.Linear', 'nn.Linear', (['dim', '(4 * dim)'], {}), '(dim, 4 * d... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.nn.Softplus",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.nn.LogSoftmax",
"oneflow.device",
"oneflow.nn.Softsign",
"oneflow.nn.Softmax",
"oneflow.nn.Hardtanh"
] | [((807, 839), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (837, 839), True, 'import oneflow as flow\n'), ((1440, 1472), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (1470, 1472), True, 'import oneflow as flow\n'), ((2078, 2110), 'o... |
import oneflow as flow
import networks
import itertools
from image import ImagePool, ndarray2image
import numpy as np
import cv2
class CycleGANModel:
def __init__(self, opt):
self.opt = opt
self.device = "cuda"
self.netG_A = networks.ResnetGenerator(n_blocks=opt.n_blocks).to(self.device)
... | [
"oneflow.Tensor",
"oneflow.nn.L1Loss",
"oneflow.optim.lr_scheduler.CosineAnnealingLR"
] | [((572, 596), 'image.ImagePool', 'ImagePool', (['opt.pool_size'], {}), '(opt.pool_size)\n', (581, 596), False, 'from image import ImagePool, ndarray2image\n'), ((624, 648), 'image.ImagePool', 'ImagePool', (['opt.pool_size'], {}), '(opt.pool_size)\n', (633, 648), False, 'from image import ImagePool, ndarray2image\n'), (... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.global_function",
"oneflow.distribute.split",
"oneflow.unittest.skip_unless_1n4d",
"oneflow.unittest.skip_unless_1n2d",
"oneflow.clear_default_session",
"oneflow.config.gpu_device_num",
"oneflow.experimental.logical_slice",
"oneflow.random_uniform_initializer"
] | [((879, 907), 'oneflow.clear_default_session', 'flow.clear_default_session', ([], {}), '()\n', (905, 907), True, 'import oneflow as flow\n'), ((989, 1011), 'oneflow.global_function', 'flow.global_function', ([], {}), '()\n', (1009, 1011), True, 'import oneflow as flow\n'), ((1616, 1646), 'test_global_storage.Get', 'tes... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.experimental.rsqrt",
"oneflow.experimental.pow",
"oneflow.experimental.sin",
"oneflow.experimental.unittest.env.eager_execution_enabled",
"oneflow.experimental.cos",
"oneflow.experimental.std",
"oneflow.experimental.log",
"oneflow.experimental.Tensor",
"oneflow.experimental.square",
"onef... | [((7824, 7839), 'unittest.main', 'unittest.main', ([], {}), '()\n', (7837, 7839), False, 'import unittest\n'), ((946, 973), 'numpy.random.randn', 'np.random.randn', (['(2)', '(3)', '(4)', '(5)'], {}), '(2, 3, 4, 5)\n', (961, 973), True, 'import numpy as np\n'), ((1044, 1079), 'numpy.var', 'np.var', (['input_arr', '(1)'... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.scope.placement",
"oneflow.compatible.single_client.unittest.skip_unless_1n2d",
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.global_function",
"oneflow.compatible.single_client.clear_default_session",
"oneflow.compatible.single_clie... | [((4623, 4655), 'oneflow.compatible.single_client.unittest.skip_unless_1n2d', 'flow.unittest.skip_unless_1n2d', ([], {}), '()\n', (4653, 4655), True, 'from oneflow.compatible import single_client as flow\n'), ((939, 967), 'oneflow.compatible.single_client.clear_default_session', 'flow.clear_default_session', ([], {}), ... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.nn.GroupNorm",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.device"
] | [((12595, 12627), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (12625, 12627), True, 'import oneflow as flow\n'), ((855, 1349), 'numpy.array', 'np.array', (['[[[[-0.8791, 0.2553, 0.7403, -0.2859], [0.8006, -1.7701, -0.9617, 0.1705],\n [0.2842, 1.7825, 0.3365, -0.8525]], [[... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.arange",
"oneflow._C.logical_slice",
"oneflow.unittest.skip_unless_1n2d",
"oneflow.sbp.split",
"oneflow.env.all_device_placement"
] | [((687, 719), 'oneflow.unittest.skip_unless_1n2d', 'flow.unittest.skip_unless_1n2d', ([], {}), '()\n', (717, 719), True, 'import oneflow as flow\n'), ((737, 771), 'os.getenv', 'os.getenv', (['"""ONEFLOW_TEST_CPU_ONLY"""'], {}), "('ONEFLOW_TEST_CPU_ONLY')\n", (746, 771), False, 'import os\n'), ((1632, 1647), 'unittest.m... |
import argparse
import time
import os
import numpy as np
from tsn.models.TSN import TSN
from tsn.utils.checkpoint import load_checkpoint
import oneflow as flow
from tsn.datasets.transform import *
from tsn.datasets.dataset import TSNDataSet
import warnings
warnings.filterwarnings("ignore", category=UserWarning)
def... | [
"oneflow.load",
"oneflow.no_grad",
"oneflow.nn.CrossEntropyLoss",
"oneflow.InitEagerGlobalSession",
"oneflow.device"
] | [((259, 314), 'warnings.filterwarnings', 'warnings.filterwarnings', (['"""ignore"""'], {'category': 'UserWarning'}), "('ignore', category=UserWarning)\n", (282, 314), False, 'import warnings\n'), ((348, 412), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""Test an action recognizer"""'}),... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.python.onnx.handler.flow_op",
"oneflow.python.framework.id_util.UniqueStr"
] | [((1044, 1071), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1061, 1071), False, 'import logging\n'), ((1129, 1171), 'oneflow.python.onnx.handler.flow_op', 'flow_op', (['"""reduce_min"""'], {'onnx_op': '"""ReduceMin"""'}), "('reduce_min', onnx_op='ReduceMin')\n", (1136, 1171), False, '... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow._C.one_embedding_id_shuffle",
"oneflow._C.identity",
"oneflow.test_utils.test_util.GenArgDict",
"oneflow.unittest.skip_unless_1n2d",
"oneflow.tensor",
"oneflow.sbp.split",
"oneflow.sbp.broadcast",
"oneflow._C.gather",
"oneflow._C.one_embedding_embedding_gradient_shuffle",
"oneflow.cast"
] | [((13125, 13157), 'oneflow.unittest.skip_unless_1n2d', 'flow.unittest.skip_unless_1n2d', ([], {}), '()\n', (13155, 13157), True, 'import oneflow as flow\n'), ((953, 1023), 'numpy.random.randint', 'np.random.randint', (['(0)', 'max_id', '(batch_size, num_tables)'], {'dtype': 'np.int64'}), '(0, max_id, (batch_size, num_t... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.as_tensor",
"oneflow.randn",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.device"
] | [((959, 991), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (989, 991), True, 'import oneflow as flow\n'), ((1009, 1043), 'os.getenv', 'os.getenv', (['"""ONEFLOW_TEST_CPU_ONLY"""'], {}), "('ONEFLOW_TEST_CPU_ONLY')\n", (1018, 1043), False, 'import os\n'), ((5210, 5225), 'unitte... |
import math
import oneflow as flow
import oneflow.nn as nn
class LSTMText(nn.Module):
def __init__(self, emb_sz, emb_dim, hidden_size, nfc, n_classes, batch_size):
super(LSTMText, self).__init__()
self.emb_sz = emb_sz
self.emb_dim = emb_dim
self.n_classes = n_classes
self.... | [
"oneflow.Tensor",
"oneflow.cat",
"oneflow.nn.ModuleList",
"oneflow.matmul",
"oneflow.sigmoid",
"oneflow.zeros",
"oneflow.nn.Embedding",
"oneflow.nn.Softmax",
"oneflow.tanh",
"oneflow.nn.Linear"
] | [((505, 544), 'oneflow.nn.Embedding', 'nn.Embedding', (['self.emb_sz', 'self.emb_dim'], {}), '(self.emb_sz, self.emb_dim)\n', (517, 544), True, 'import oneflow.nn as nn\n'), ((567, 610), 'oneflow.nn.Linear', 'nn.Linear', (['(hidden_size * 2 * nfc)', 'n_classes'], {}), '(hidden_size * 2 * nfc, n_classes)\n', (576, 610),... |
import h5py
import oneflow as flow
import shutil
import numpy as np
import os
def save_net(fname, net):
with h5py.File(fname, "w") as h5f:
for k, v in net.state_dict().items():
h5f.create_dataset(k, data=v.cpu().numpy())
def load_net(fname, net):
with h5py.File(fname, "r") as h5f:
... | [
"oneflow.save"
] | [((564, 614), 'oneflow.save', 'flow.save', (["state['state_dict']", '(filename + task_id)'], {}), "(state['state_dict'], filename + task_id)\n", (573, 614), True, 'import oneflow as flow\n'), ((890, 914), 'os.path.exists', 'os.path.exists', (['filepath'], {}), '(filepath)\n', (904, 914), False, 'import os\n'), ((115, 1... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.framework.docstr.utils.add_docstr"
] | [((660, 2482), 'oneflow.framework.docstr.utils.add_docstr', 'add_docstr', (['oneflow._C.deconv1d', '"""\n conv_transpose1d(input, weight, bias=None, stride=1, padding=0, output_padding=0, groups=1, dilation=1) -> Tensor\n\n The documentation is referenced from: https://pytorch.org/docs/stable/generated/torch.nn.f... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.set_rng_state",
"oneflow.ones",
"oneflow.Generator",
"oneflow.randn",
"oneflow.get_rng_state"
] | [((6398, 6413), 'unittest.main', 'unittest.main', ([], {}), '()\n', (6411, 6413), False, 'import unittest\n'), ((793, 822), 'oneflow.Generator', 'flow.Generator', ([], {'device': '"""auto"""'}), "(device='auto')\n", (807, 822), True, 'import oneflow as flow\n'), ((841, 869), 'oneflow.Generator', 'flow.Generator', ([], ... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.global_function",
"oneflow.FunctionConfig",
"oneflow.random_uniform_initializer",
"oneflow.gather_nd"
] | [((671, 692), 'oneflow.FunctionConfig', 'flow.FunctionConfig', ([], {}), '()\n', (690, 692), True, 'import oneflow as flow\n'), ((773, 806), 'oneflow.global_function', 'flow.global_function', (['func_config'], {}), '(func_config)\n', (793, 806), True, 'import oneflow as flow\n'), ((1244, 1290), 'util.convert_to_onnx_an... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.constant_initializer",
"oneflow.compatible.single_client.math.unsorted_batch_segment_sum",
"oneflow.compatible.single_client.scope.placement",
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.global_function",
"oneflow.compatible.single... | [((900, 921), 'oneflow.compatible.single_client.FunctionConfig', 'flow.FunctionConfig', ([], {}), '()\n', (919, 921), True, 'from oneflow.compatible import single_client as flow\n'), ((4044, 4076), 'oneflow.compatible.single_client.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (4074, 4... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.scope.placement",
"oneflow.compatible.single_client.zeros_initializer",
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.global_function",
"oneflow.compatible.single_client.random_uniform_initializer",
"oneflow.compatible.single_client.... | [((1751, 1783), 'oneflow.compatible.single_client.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (1781, 1783), True, 'import oneflow.compatible.single_client as flow\n'), ((1003, 1030), 'oneflow.compatible.single_client.regularizers.l2', 'flow.regularizers.l2', (['(4e-05)'], {}), '(4e-0... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.F.arange",
"oneflow.F.consistent_arange",
"oneflow.device"
] | [((3076, 3112), 'doctest.testmod', 'doctest.testmod', ([], {'raise_on_error': '(True)'}), '(raise_on_error=True)\n', (3091, 3112), False, 'import doctest\n'), ((2364, 2410), 'oneflow.F.arange', 'flow.F.arange', (['start', 'end', 'step', 'dtype', 'device'], {}), '(start, end, step, dtype, device)\n', (2377, 2410), True,... |
import math
import oneflow
import oneflow as flow
import oneflow.nn as nn
import numpy as np
class SparseDispatcher(object):
"""Helper for implementing a mixture of experts.
The purpose of this class is to create input minibatches for the
experts and to combine the results of the experts to form a unifie... | [
"oneflow.Tensor",
"oneflow.nn.Softplus",
"oneflow.cat",
"oneflow.scatter",
"oneflow.arange",
"oneflow.matmul",
"oneflow.gather",
"oneflow.where",
"oneflow.zeros",
"oneflow.nn.Softmax",
"oneflow.nonzero",
"oneflow.gt",
"oneflow.tensor",
"oneflow.split"
] | [((5752, 5770), 'oneflow.tensor', 'flow.tensor', (['[0.0]'], {}), '([0.0])\n', (5763, 5770), True, 'import oneflow as flow\n'), ((5778, 5796), 'oneflow.tensor', 'flow.tensor', (['[1.0]'], {}), '([1.0])\n', (5789, 5796), True, 'import oneflow as flow\n'), ((2748, 2793), 'oneflow.gather', 'flow.gather', (['gates_exp', '(... |
#!/usr/bin/env python
import argparse
import json
import oneflow as flow
import kaldi_io
from transformer import Transformer
from utils import add_results_to_json, process_dict
from data import build_LFR_features
from decoder import Decoder
from encoder import Encoder
parser = argparse.ArgumentParser("End-to-End Auto... | [
"oneflow.load",
"oneflow.no_grad",
"oneflow.tensor",
"oneflow.device"
] | [((280, 356), 'argparse.ArgumentParser', 'argparse.ArgumentParser', (['"""End-to-End Automatic Speech Recognition Decoding."""'], {}), "('End-to-End Automatic Speech Recognition Decoding.')\n", (303, 356), False, 'import argparse\n'), ((2883, 2906), 'utils.process_dict', 'process_dict', (['args.dict'], {}), '(args.dict... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 l... | [
"oneflow.python.framework.tensor.register_tensor_op",
"oneflow.builtin_op",
"oneflow.python.ops.transpose_util.get_inversed_perm",
"oneflow.python.ops.transpose_util.get_perm_when_transpose_axis_to_last_dim",
"oneflow.experimental.unsqueeze",
"oneflow.python.oneflow_export.oneflow_export"
] | [((2599, 2623), 'oneflow.python.oneflow_export.oneflow_export', 'oneflow_export', (['"""argmax"""'], {}), "('argmax')\n", (2613, 2623), False, 'from oneflow.python.oneflow_export import oneflow_export, experimental_api\n'), ((2626, 2654), 'oneflow.python.framework.tensor.register_tensor_op', 'register_tensor_op', (['""... |
import numpy as np
import sys
import math
import oneflow as flow
import oneflow.nn as nn
sys.path.append("../")
from transformer import TransformerEncoder
class Embeddings(nn.Module):
def __init__(self, vocab, d_model):
super(Embeddings, self).__init__()
self.lut = nn.Embedding(vocab, d_model)
... | [
"oneflow.arange",
"oneflow.sin",
"oneflow.zeros",
"oneflow.ones",
"oneflow.nn.Dropout",
"oneflow.tensor",
"oneflow.nn.Embedding",
"oneflow.max",
"oneflow.nn.Linear",
"oneflow.cos"
] | [((91, 113), 'sys.path.append', 'sys.path.append', (['"""../"""'], {}), "('../')\n", (106, 113), False, 'import sys\n'), ((289, 317), 'oneflow.nn.Embedding', 'nn.Embedding', (['vocab', 'd_model'], {}), '(vocab, d_model)\n', (301, 317), True, 'import oneflow.nn as nn\n'), ((603, 624), 'oneflow.nn.Dropout', 'nn.Dropout',... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.compatible.single_client.typing.ListNumpy.Placeholder",
"oneflow.compatible.single_client.constant_initializer",
"oneflow.compatible.single_client.watch_diff",
"oneflow.compatible.single_client.FunctionConfig",
"oneflow.compatible.single_client.broadcast_to_compatible_with",
"oneflow.compatible.s... | [((4221, 4253), 'oneflow.compatible.single_client.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (4251, 4253), True, 'from oneflow.compatible import single_client as flow\n'), ((973, 1001), 'oneflow.compatible.single_client.clear_default_session', 'flow.clear_default_session', ([], {}),... |
# coding=utf-8
# Copyright 2021 The OneFlow Authors. All rights reserved.
#
# 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 require... | [
"oneflow.placement",
"oneflow.sbp.split",
"oneflow.randn"
] | [((746, 766), 'sys.path.append', 'sys.path.append', (['"""."""'], {}), "('.')\n", (761, 766), False, 'import sys\n'), ((1140, 1158), 'omegaconf.OmegaConf.create', 'OmegaConf.create', ([], {}), '()\n', (1156, 1158), False, 'from omegaconf import OmegaConf\n'), ((2512, 2536), 'libai.engine.default_setup', 'default_setup'... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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... | [
"oneflow.distribute.broadcast",
"oneflow.current_global_function_desc",
"oneflow.scope.namespace",
"oneflow.matmul",
"oneflow.ones_initializer",
"oneflow.nn.compat_conv2d",
"oneflow.nn.conv2d_transpose",
"oneflow.constant_initializer",
"oneflow.zeros_initializer",
"oneflow.reshape",
"oneflow.use... | [((827, 870), 'oneflow.random_normal_initializer', 'flow.random_normal_initializer', ([], {'stddev': '(0.02)'}), '(stddev=0.02)\n', (857, 870), True, 'import oneflow as flow\n'), ((912, 944), 'oneflow.constant_initializer', 'flow.constant_initializer', (['(2e-05)'], {}), '(2e-05)\n', (937, 944), True, 'import oneflow a... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.framework.hob.eager_execution_enabled",
"oneflow.framework.interpret_util.Forward",
"oneflow.eager.boxing_util.BuildAssignInstruction",
"oneflow._oneflow_internal.GetDeviceTagAndMachineDeviceIdsAndHierarchy",
"oneflow.support.enable_if.unique",
"oneflow.support.enable_if.condition",
"oneflow.co... | [((1668, 1738), 'oneflow.support.enable_if.condition', 'enable_if.condition', (['(hob.in_global_mode & ~hob.eager_execution_enabled)'], {}), '(hob.in_global_mode & ~hob.eager_execution_enabled)\n', (1687, 1738), True, 'import oneflow.support.enable_if as enable_if\n'), ((2274, 2343), 'oneflow.support.enable_if.conditio... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.config.machine_num",
"oneflow.serving.InferenceSession",
"oneflow.typing.Numpy.Placeholder",
"oneflow.clear_default_session",
"oneflow.config.cpu_device_num",
"oneflow.unittest.skip_unless_1n1d",
"oneflow.transpose",
"oneflow.config.gpu_device_num",
"oneflow.saved_model.ModelBuilder",
"on... | [((3159, 3191), 'oneflow.unittest.skip_unless_1n1d', 'flow.unittest.skip_unless_1n1d', ([], {}), '()\n', (3189, 3191), True, 'import oneflow as flow\n'), ((1221, 1236), 'oneflow.env.init', 'flow.env.init', ([], {}), '()\n', (1234, 1236), True, 'import oneflow as flow\n'), ((1241, 1267), 'oneflow.config.machine_num', 'f... |
"""
Copyright 2020 The OneFlow Authors. All rights reserved.
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 agr... | [
"oneflow.python.eager.boxing_util.BoxingTo",
"oneflow.python.lib.core.enable_if.condition",
"oneflow.python.eager.blob_register.GetDefaultBlobRegister",
"oneflow.scope.mirrored_view_enabled",
"oneflow.python.eager.vm_util.LogicalRun",
"oneflow.parallel_cast",
"oneflow.python.eager.blob_cache.FindOrCreat... | [((1670, 1713), 'oneflow.python.eager.blob_register.GetDefaultBlobRegister', 'blob_register_util.GetDefaultBlobRegister', ([], {}), '()\n', (1711, 1713), True, 'import oneflow.python.eager.blob_register as blob_register_util\n'), ((1835, 1904), 'oneflow.python.lib.core.enable_if.condition', 'enable_if.condition', (['(h... |
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