python_code stringlengths 0 679k | repo_name stringlengths 9 41 | file_path stringlengths 6 149 |
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# Copyright 2020 Google Research. 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
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/visualize/__init__.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/visualize/standard_fields.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/visualize/vis_utils.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/visualize/static_shape.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/optimizer_builder.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/normalization_builder.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/iou_utils.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/label_util.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/fpn_configs.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/nms_np.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/postprocess.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/learning_rate.py |
DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/__init__.py | |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/callback_builder.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/efficientdet_keras.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/anchors.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/inference.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/dataloader.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/activation_builder.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/model/coco_metric.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/target_assigner.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/matcher.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/faster_rcnn_box_coder.py |
# Copyright 2020 Google Research. All Rights Reserved.
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# 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/shape_utils.py |
# Copyright 2020 Google Research. 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/box_coder.py |
# Copyright 2020 Google Research. 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/__init__.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/preprocessor.py |
# Copyright 2020 Google Research. 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... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/box_list.py |
# Copyright 2020 Google Research. 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
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# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/region_similarity_calculator.py |
# Copyright 2020 Google Research. 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/tf_example_decoder.py |
# Copyright 2020 Google Research. 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
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law... | DeepLearningExamples-master | TensorFlow2/Detection/Efficientdet/object_detection/argmax_matcher.py |
# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: MIT
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without res... | cuOpt-Resources-branch-22.12 | notebooks/routing/python/notebook_utils/notebook_helpers.py |
# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: MIT
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without res... | cuOpt-Resources-branch-22.12 | notebooks/routing/service/notebook_utils/notebook_helpers.py |
#!/usr/bin/env python3
# SPDX-FileCopyrightText: Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: MIT
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in ... | open-gpu-kernel-modules-main | nouveau/extract-firmware-nouveau.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
import math
import json
from torch.utils.checkpoint import checkpoint
import pdb
class SoftmaxAttention(nn.Module):
def __init__(self, config):
super().__init__()
self.drop_attn = torch.nn.Dropout(p... | transformer-ls-master | lra/attention.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
import math
class NystromAttention(nn.Module):
def __init__(self, config):
super().__init__()
self.head_dim = config.head_dim
self.num_head = config.num_head
self.num_landmarks = c... | transformer-ls-master | lra/attention_nystrom.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
import math
from performer_pytorch import FastAttention
class PerformerAttention(nn.Module):
def __init__(self, config):
super().__init__()
self.head_dim = config.head_dim
self.rp_dim = con... | transformer-ls-master | lra/attention_performer.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
import numpy as np
import math
from torch.utils.checkpoint import checkpoint
from attention import Attention
from attention_transformer_ls import AttentionLS
import pdb
class Embeddings(nn.Module):
def __init__(sel... | transformer-ls-master | lra/model.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
import math
from model import Model
def pooling(inp, mode):
# pdb.set_trace()
if mode.lower() == "cls":
pooled = inp[:, 0, :]
elif mode.lower() == "mean":
pooled = inp.mean(dim=1)
else:... | transformer-ls-master | lra/model_wrapper.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
import math
from torch.utils.data.dataset import Dataset
import sys
import os
import random
import json
import pickle
import numpy as np
import pdb
class LRADataset(Dataset):
def __init__(self, file_path, endless):... | transformer-ls-master | lra/dataset.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import torch
import torch.nn as nn
from transformers.models.reformer.modeling_reformer import LSHSelfAttention, ReformerConfig
class LSHAttention(LSHSelfAttention):
def __init__(self, config, query, key, value):
self.num_hash = config.num_ha... | transformer-ls-master | lra/attention_reformer.py |
"""
Adapted from https://github.com/mlpen/Nystromformer
"""
from fvcore.nn import FlopCountAnalysis
from model_wrapper import ModelForSC, ModelForSCDual, ModelForSCProbing, ModelForSCDualProbing
from dataset import LRADataset
import torch
import random
import torch.backends.cudnn as cudnn
from torch.utils.data import ... | transformer-ls-master | lra/run_tasks.py |
# Copyright (c) 2021 NVIDIA CORPORATION. Licensed under the MIT license.
# Written by Chen Zhu during an internship at NVIDIA, zhuchen.eric@gmail.com
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
class AttentionLS(nn.Module):
"""The long-short term attention for bidirectional lan... | transformer-ls-master | lra/attention_transformer_ls.py |
"""
Adapted from https://github.com/mlpen/Nystromformer
Add dynamic convolution which is not included in Linformer.
"""
import torch
import torch.nn as nn
import math
import pdb
class LinformerAttention(nn.Module):
projection_matrix = None
def __init__(self, config):
super().__init__()
self.... | transformer-ls-master | lra/attention_linformer.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import sys
sys.path.append("./long-range-arena/lra_benchmarks/listops/")
import input_pipeline
import numpy as np
import pickle
train_ds, eval_ds, test_ds, encoder = input_pipeline.get_datasets(
n_devices = 1, task_name = "basic", data_dir = "./lra_... | transformer-ls-master | lra/datasets/listops.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import sys
sys.path.append("./long-range-arena/lra_benchmarks/text_classification/")
import input_pipeline
import numpy as np
import pickle
train_ds, eval_ds, test_ds, encoder = input_pipeline.get_tc_datasets(
n_devices = 1, task_name = "imdb_review... | transformer-ls-master | lra/datasets/text.py |
"""
This file is from https://github.com/mlpen/Nystromformer
"""
import sys
sys.path.append("./long-range-arena/lra_benchmarks/matching/")
import input_pipeline
import numpy as np
import pickle
datapath = './datasets'
train_ds, eval_ds, test_ds, encoder = input_pipeline.get_matching_datasets(
n_devices = 1, task... | transformer-ls-master | lra/datasets/retrieval.py |
transformer-ls-master | lra/datasets/long-range-arena/__init__.py | |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/matching/build_vocab.py |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/matching/input_pipeline.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/matching/train.py |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/matching/configs/base_match_config.py |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/matching/configs/transformer_base.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/utils/train_utils.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/utils/data_utils.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/task_registry.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/input_pipeline.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/train.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/__init__.py | |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder128/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder128/transformer_base.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder128/base_pathfinder128_config.py |
"""Base Configuration."""
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder256/base_pathfinder256_config.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder256/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder256/transformer_base.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder64/base_pathfinder64_config.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder64/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder64/transformer_base.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder32/base_pathfinder32_config.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder32/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/pathfinder32/transformer_base.py |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/cifar10/base_cifar10_config.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/cifar10/__init__.py | |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/image/configs/cifar10/transformer_base.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/text_classification/input_pipeline.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/text_classification/train.py |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/text_classification/configs/transformer_base.py |
# Copyright 2020 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/text_classification/configs/base_tc_config.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/data/pathfinder.py |
transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/data/__init__.py | |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/data/listops.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/listops/input_pipeline.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/listops/train.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/listops/configs/base_listops_config.py |
# Copyright 2021 Google LLC
# 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
# https://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, sof... | transformer-ls-master | lra/datasets/long-range-arena/lra_benchmarks/listops/configs/transformer_base.py |
from .model_wrapper import *
from .truncated_bptt_lm_task import *
from .loss import * | transformer-ls-master | autoregressive/model_lib/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.modules.layer_norm import Lay... | transformer-ls-master | autoregressive/model_lib/model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import FairseqDa... | transformer-ls-master | autoregressive/model_lib/model_wrapper.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions impo... | transformer-ls-master | autoregressive/model_lib/loss.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Forked from https://github.com/pytorch/fairseq/blob/master/examples/truncated_bptt/truncated_bptt_lm_task.py
"""
import logging
import os
f... | transformer-ls-master | autoregressive/model_lib/truncated_bptt_lm_task.py |
# Copyright (c) 2021 NVIDIA CORPORATION. Licensed under the MIT license.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from fairseq.modules.layer_norm import LayerNorm
import pdb
class ChunkedLSAttention(nn.Module):
def __init__(self, d_mode... | transformer-ls-master | autoregressive/model_lib/layer.py |
#!/usr/bin/env python
# coding=utf-8
"""Copied rom https://github.com/kimiyoung/transformer-xl/blob/master/prep_text8.py"""
import os
import sys
import zipfile
from io import open
if os.path.exists('train.txt'):
print('Tokenized text8 already exists - skipping processing')
sys.exit()
data = zipfile.ZipFile(... | transformer-ls-master | autoregressive/data_prepro/prep_text8.py |
"""Unified script for classification problems, with distributed training support.
Adapted from https://github.com/microsoft/vision-longformer
"""
import wandb
import argparse
import logging
import os
import os.path as op
import sys
import torch
import torch.utils.data.distributed
from timm.data import Mixup
from mod... | transformer-ls-master | imagenet/run_experiment_distributed.py |
"""
This file is from https://github.com/microsoft/vision-longformer
"""
import torch as th
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
def linear_combination(x, y, epsilon):
return epsilon*x + (1-epsilon)*y
def reduce_loss(loss, reduction='mean'):
return loss.mean() if re... | transformer-ls-master | imagenet/loss.py |
"""
This file is from https://github.com/microsoft/vision-longformer
"""
import time
import logging
import torch
import os
import json
from torch.cuda.amp import autocast
from utils.comm import _accumulate_predictions_from_multiple_gpus, \
is_main_process
ONLY_OVERLAP_CLASSES = True
def compute_accuracy(output... | transformer-ls-master | imagenet/engine.py |
# Copyright (c) 2021 Microsoft Corporation. Licensed under the MIT license.
from .defaults import _C as cfg
| transformer-ls-master | imagenet/config/__init__.py |
# Copyright (c) 2021 Microsoft Corporation. Licensed under the MIT license.
# Written by Pengchuan Zhang, penzhan@microsoft.com
import os
from yacs.config import CfgNode as CN
# -----------------------------------------------------------------------------
# Config definition
# ----------------------------------------... | transformer-ls-master | imagenet/config/defaults.py |
transformer-ls-master | imagenet/dat/__init__.py |
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