text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
# Copyright 2024 The CogView team, Tsinghua University & ZhipuAI and The HuggingFace Team. 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/l... | diffusers/src/diffusers/models/transformers/transformer_cogview3plus.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/transformer_cogview3plus.py",
"repo_id": "diffusers",
"token_count": 6899
} | 127 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/models/unets/unet_2d_condition.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_2d_condition.py",
"repo_id": "diffusers",
"token_count": 29830
} | 128 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/pipelines/audioldm/pipeline_audioldm.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/audioldm/pipeline_audioldm.py",
"repo_id": "diffusers",
"token_count": 11663
} | 129 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet.py",
"repo_id": "diffusers",
"token_count": 30679
} | 130 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_flax_available,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transfor... | diffusers/src/diffusers/pipelines/controlnet_xs/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet_xs/__init__.py",
"repo_id": "diffusers",
"token_count": 894
} | 131 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class IFPipelineOutput(BaseOutput):
r"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Image]` or `np.ndarray`):... | diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deepfloyd_if/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 410
} | 132 |
from typing import TYPE_CHECKING
from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {"pipeline_pndm": ["PNDMPipeline"]}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .pipeline_pndm import PNDMPipeline
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
... | diffusers/src/diffusers/pipelines/deprecated/pndm/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/pndm/__init__.py",
"repo_id": "diffusers",
"token_count": 182
} | 133 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky2_2/pipeline_kandinsky2_2_controlnet.py",
"repo_id": "diffusers",
"token_count": 6234
} | 134 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and i... | diffusers/src/diffusers/pipelines/latent_consistency_models/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/latent_consistency_models/__init__.py",
"repo_id": "diffusers",
"token_count": 615
} | 135 |
# coding=utf-8
# Copyright 2025 The HuggingFace Inc. team.
# Copyright (c) 2022, NVIDIA CORPORATION. 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.a... | diffusers/src/diffusers/pipelines/onnx_utils.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/onnx_utils.py",
"repo_id": "diffusers",
"token_count": 3657
} | 136 |
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class SanaPipelineOutput(BaseOutput):
"""
Output class for Sana pipelines.
Args:
images (`List[PIL.Image.Image]` or `np.ndarray`)
List of d... | diffusers/src/diffusers/pipelines/sana/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/sana/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 211
} | 137 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_cascade/pipeline_stable_cascade_prior.py",
"repo_id": "diffusers",
"token_count": 14327
} | 138 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion_attend_and_excite/pipeline_stable_diffusion_attend_and_excite.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_attend_and_excite/pipeline_stable_diffusion_attend_and_excite.py",
"repo_id": "diffusers",
"token_count": 22907
} | 139 |
# Copyright 2024 The HuggingFace Team. 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 applicabl... | diffusers/src/diffusers/pipelines/stable_diffusion_safe/safety_checker.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion_safe/safety_checker.py",
"repo_id": "diffusers",
"token_count": 1962
} | 140 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is... | diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/text_to_video_synthesis/__init__.py",
"repo_id": "diffusers",
"token_count": 788
} | 141 |
# Copyright (c) 2022 Dominic Rampas MIT License
# Copyright 2024 The HuggingFace Team. 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/licen... | diffusers/src/diffusers/pipelines/wuerstchen/modeling_paella_vq_model.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/wuerstchen/modeling_paella_vq_model.py",
"repo_id": "diffusers",
"token_count": 3040
} | 142 |
# Copyright 2024 The HuggingFace Team and City96. 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
# #
# # U... | diffusers/src/diffusers/quantizers/gguf/utils.py/0 | {
"file_path": "diffusers/src/diffusers/quantizers/gguf/utils.py",
"repo_id": "diffusers",
"token_count": 7409
} | 143 |
# Copyright 2024 Katherine Crowson and The HuggingFace Team. 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... | diffusers/src/diffusers/schedulers/scheduling_euler_discrete.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_euler_discrete.py",
"repo_id": "diffusers",
"token_count": 15517
} | 144 |
# Copyright 2024 Google Brain and The HuggingFace Team. 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 requ... | diffusers/src/diffusers/schedulers/scheduling_sde_ve.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_sde_ve.py",
"repo_id": "diffusers",
"token_count": 5379
} | 145 |
# This file is autogenerated by the command `make fix-copies`, do not edit.
from ..utils import DummyObject, requires_backends
class MidiProcessor(metaclass=DummyObject):
_backends = ["note_seq"]
def __init__(self, *args, **kwargs):
requires_backends(self, ["note_seq"])
@classmethod
def from... | diffusers/src/diffusers/utils/dummy_note_seq_objects.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dummy_note_seq_objects.py",
"repo_id": "diffusers",
"token_count": 201
} | 146 |
# coding=utf-8
# Copyright 2024 Optuna, Hugging Face
#
# 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 o... | diffusers/src/diffusers/utils/logging.py/0 | {
"file_path": "diffusers/src/diffusers/utils/logging.py",
"repo_id": "diffusers",
"token_count": 3654
} | 147 |
# Copyright 2024 HuggingFace Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | diffusers/tests/hooks/test_group_offloading.py/0 | {
"file_path": "diffusers/tests/hooks/test_group_offloading.py",
"repo_id": "diffusers",
"token_count": 3873
} | 148 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/models/autoencoders/test_models_asymmetric_autoencoder_kl.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_asymmetric_autoencoder_kl.py",
"repo_id": "diffusers",
"token_count": 4339
} | 149 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/models/test_modeling_common.py/0 | {
"file_path": "diffusers/tests/models/test_modeling_common.py",
"repo_id": "diffusers",
"token_count": 32603
} | 150 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/models/transformers/test_models_transformer_ltx.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_ltx.py",
"repo_id": "diffusers",
"token_count": 1118
} | 151 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/models/unets/test_models_unet_spatiotemporal.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_spatiotemporal.py",
"repo_id": "diffusers",
"token_count": 3217
} | 152 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/audioldm2/test_audioldm2.py/0 | {
"file_path": "diffusers/tests/pipelines/audioldm2/test_audioldm2.py",
"repo_id": "diffusers",
"token_count": 11209
} | 153 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc and Tencent Hunyuan Team.
#
# 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... | diffusers/tests/pipelines/controlnet_hunyuandit/test_controlnet_hunyuandit.py/0 | {
"file_path": "diffusers/tests/pipelines/controlnet_hunyuandit/test_controlnet_hunyuandit.py",
"repo_id": "diffusers",
"token_count": 6131
} | 154 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/deepfloyd_if/test_if_img2img_superresolution.py/0 | {
"file_path": "diffusers/tests/pipelines/deepfloyd_if/test_if_img2img_superresolution.py",
"repo_id": "diffusers",
"token_count": 2445
} | 155 |
# Copyright 2024 The HuggingFace Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | diffusers/tests/pipelines/hunyuan_video/test_hunyuan_skyreels_image2video.py/0 | {
"file_path": "diffusers/tests/pipelines/hunyuan_video/test_hunyuan_skyreels_image2video.py",
"repo_id": "diffusers",
"token_count": 5799
} | 156 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_controlnet.py/0 | {
"file_path": "diffusers/tests/pipelines/kandinsky2_2/test_kandinsky_controlnet.py",
"repo_id": "diffusers",
"token_count": 4359
} | 157 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion.py/0 | {
"file_path": "diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion.py",
"repo_id": "diffusers",
"token_count": 3447
} | 158 |
# Copyright 2024 The HuggingFace Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | diffusers/tests/pipelines/pag/test_pag_sana.py/0 | {
"file_path": "diffusers/tests/pipelines/pag/test_pag_sana.py",
"repo_id": "diffusers",
"token_count": 6073
} | 159 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_cascade/test_stable_cascade_prior.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_cascade/test_stable_cascade_prior.py",
"repo_id": "diffusers",
"token_count": 4657
} | 160 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_flax_inpaint.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion_flax_inpaint.py",
"repo_id": "diffusers",
"token_count": 1237
} | 161 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/stable_diffusion_image_variation/test_stable_diffusion_image_variation.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_image_variation/test_stable_diffusion_image_variation.py",
"repo_id": "diffusers",
"token_count": 5920
} | 162 |
# coding=utf-8
# Copyright 2024 Harutatsu Akiyama and HuggingFace Inc.
#
# 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 b... | diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_instruction_pix2pix.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_instruction_pix2pix.py",
"repo_id": "diffusers",
"token_count": 3108
} | 163 |
# coding=utf-8
# Copyright 2024 HuggingFace Inc.
#
# 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 ag... | diffusers/tests/pipelines/text_to_video_synthesis/test_text_to_video_zero.py/0 | {
"file_path": "diffusers/tests/pipelines/text_to_video_synthesis/test_text_to_video_zero.py",
"repo_id": "diffusers",
"token_count": 710
} | 164 |
import gc
import unittest
import numpy as np
import torch
import torch.nn as nn
from diffusers import (
AuraFlowPipeline,
AuraFlowTransformer2DModel,
FluxPipeline,
FluxTransformer2DModel,
GGUFQuantizationConfig,
SD3Transformer2DModel,
StableDiffusion3Pipeline,
)
from diffusers.utils.testin... | diffusers/tests/quantization/gguf/test_gguf.py/0 | {
"file_path": "diffusers/tests/quantization/gguf/test_gguf.py",
"repo_id": "diffusers",
"token_count": 8795
} | 165 |
import inspect
import tempfile
import unittest
from typing import Dict, List, Tuple
import torch
from diffusers import EDMEulerScheduler
from .test_schedulers import SchedulerCommonTest
class EDMEulerSchedulerTest(SchedulerCommonTest):
scheduler_classes = (EDMEulerScheduler,)
forward_default_kwargs = (("nu... | diffusers/tests/schedulers/test_scheduler_edm_euler.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_edm_euler.py",
"repo_id": "diffusers",
"token_count": 3799
} | 166 |
import unittest
import torch
import torch.nn.functional as F
from diffusers import VQDiffusionScheduler
from .test_schedulers import SchedulerCommonTest
class VQDiffusionSchedulerTest(SchedulerCommonTest):
scheduler_classes = (VQDiffusionScheduler,)
def get_scheduler_config(self, **kwargs):
config... | diffusers/tests/schedulers/test_scheduler_vq_diffusion.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_vq_diffusion.py",
"repo_id": "diffusers",
"token_count": 715
} | 167 |
import gc
import tempfile
import unittest
import torch
from diffusers import EulerDiscreteScheduler, StableDiffusionInstructPix2PixPipeline, StableDiffusionPipeline
from diffusers.loaders.single_file_utils import _extract_repo_id_and_weights_name
from diffusers.utils import load_image
from diffusers.utils.testing_uti... | diffusers/tests/single_file/test_stable_diffusion_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_single_file.py",
"repo_id": "diffusers",
"token_count": 2682
} | 168 |
# coding=utf-8
# Copyright 2024 The HuggingFace Team. 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 requir... | diffusers/utils/fetch_latest_release_branch.py/0 | {
"file_path": "diffusers/utils/fetch_latest_release_branch.py",
"repo_id": "diffusers",
"token_count": 824
} | 169 |
FROM nvidia/cuda:12.2.2-devel-ubuntu22.04
# Configure image
ARG PYTHON_VERSION=3.10
ARG DEBIAN_FRONTEND=noninteractive
# Install apt dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential cmake \
git git-lfs openssh-client \
nano vim less util-linux tree \
htop... | lerobot/docker/lerobot-gpu-dev/Dockerfile/0 | {
"file_path": "lerobot/docker/lerobot-gpu-dev/Dockerfile",
"repo_id": "lerobot",
"token_count": 993
} | 170 |
# keys
OBS_ENV = "observation.environment_state"
OBS_ROBOT = "observation.state"
OBS_IMAGE = "observation.image"
OBS_IMAGES = "observation.images"
ACTION = "action"
# files & directories
CHECKPOINTS_DIR = "checkpoints"
LAST_CHECKPOINT_LINK = "last"
PRETRAINED_MODEL_DIR = "pretrained_model"
TRAINING_STATE_DIR = "traini... | lerobot/lerobot/common/constants.py/0 | {
"file_path": "lerobot/lerobot/common/constants.py",
"repo_id": "lerobot",
"token_count": 227
} | 171 |
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. 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
#
# ... | lerobot/lerobot/common/policies/factory.py/0 | {
"file_path": "lerobot/lerobot/common/policies/factory.py",
"repo_id": "lerobot",
"token_count": 2379
} | 172 |
#!/usr/bin/env python
# Copyright 2024 Seungjae Lee and Yibin Wang and Haritheja Etukuru
# and H. Jin Kim and Nur Muhammad Mahi Shafiullah and Lerrel Pinto
# and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in com... | lerobot/lerobot/common/policies/vqbet/vqbet_utils.py/0 | {
"file_path": "lerobot/lerobot/common/policies/vqbet/vqbet_utils.py",
"repo_id": "lerobot",
"token_count": 24283
} | 173 |
from typing import Protocol
from lerobot.common.robot_devices.robots.configs import (
AlohaRobotConfig,
KochBimanualRobotConfig,
KochRobotConfig,
ManipulatorRobotConfig,
MossRobotConfig,
RobotConfig,
So100RobotConfig,
StretchRobotConfig,
)
def get_arm_id(name, arm_type):
"""Return... | lerobot/lerobot/common/robot_devices/robots/utils.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/robots/utils.py",
"repo_id": "lerobot",
"token_count": 779
} | 174 |
# Note: We subclass str so that serialization is straightforward
# https://stackoverflow.com/questions/24481852/serialising-an-enum-member-to-json
from dataclasses import dataclass
from enum import Enum
from typing import Any, Protocol
class FeatureType(str, Enum):
STATE = "STATE"
VISUAL = "VISUAL"
ENV = ... | lerobot/lerobot/configs/types.py/0 | {
"file_path": "lerobot/lerobot/configs/types.py",
"repo_id": "lerobot",
"token_count": 224
} | 175 |
version https://git-lfs.github.com/spec/v1
oid sha256:96431ca3479eef2379406ef901cad7ba5eac4f7edcc48ecc9e8d1fa0e99d8017
size 111338
| lerobot/tests/data/save_dataset_to_safetensors/lerobot/pusht/frame_81.safetensors/0 | {
"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/pusht/frame_81.safetensors",
"repo_id": "lerobot",
"token_count": 67
} | 176 |
version https://git-lfs.github.com/spec/v1
oid sha256:683a2038185f3d070e7d7c0c31e4aa75067c11bf798daa41c9fab336f4183fda
size 33400
| lerobot/tests/data/save_policy_to_safetensors/aloha_act_1000_steps/param_stats.safetensors/0 | {
"file_path": "lerobot/tests/data/save_policy_to_safetensors/aloha_act_1000_steps/param_stats.safetensors",
"repo_id": "lerobot",
"token_count": 65
} | 177 |
version https://git-lfs.github.com/spec/v1
oid sha256:b7d08c9518f1f15226e4efc6f2a8542d0f3e620c91421c7cacea07d9bd9025d6
size 36312
| lerobot/tests/data/save_policy_to_safetensors/xarm_tdmpcuse_policy/param_stats.safetensors/0 | {
"file_path": "lerobot/tests/data/save_policy_to_safetensors/xarm_tdmpcuse_policy/param_stats.safetensors",
"repo_id": "lerobot",
"token_count": 71
} | 178 |
"""
Tests for physical robots and their mocked versions.
If the physical robots are not connected to the computer, or not working,
the test will be skipped.
Example of running a specific test:
```bash
pytest -sx tests/test_control_robot.py::test_teleoperate
```
Example of running test on real robots connected to the ... | lerobot/tests/test_control_robot.py/0 | {
"file_path": "lerobot/tests/test_control_robot.py",
"repo_id": "lerobot",
"token_count": 6683
} | 179 |
#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. 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
#
# ... | lerobot/tests/test_sampler.py/0 | {
"file_path": "lerobot/tests/test_sampler.py",
"repo_id": "lerobot",
"token_count": 1429
} | 180 |
compute_environment: LOCAL_MACHINE
debug: false
deepspeed_config:
deepspeed_multinode_launcher: standard
offload_optimizer_device: none
offload_param_device: none
zero3_init_flag: false
zero_stage: 2
distributed_type: DEEPSPEED
downcast_bf16: 'no'
machine_rank: 0
main_training_function: main
mixed_precision: ... | open-r1/recipes/accelerate_configs/zero2.yaml/0 | {
"file_path": "open-r1/recipes/accelerate_configs/zero2.yaml",
"repo_id": "open-r1",
"token_count": 179
} | 181 |
# Copyright 2025 The HuggingFace Team. 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 applicabl... | open-r1/src/open_r1/evaluate.py/0 | {
"file_path": "open-r1/src/open_r1/evaluate.py",
"repo_id": "open-r1",
"token_count": 2348
} | 182 |
# Builds GPU docker image of PyTorch
# Uses multi-staged approach to reduce size
# Stage 1
# Use base conda image to reduce time
FROM continuumio/miniconda3:latest AS compile-image
# Specify py version
ENV PYTHON_VERSION=3.11
# Install apt libs - copied from https://github.com/huggingface/accelerate/blob/main/docker/ac... | peft/docker/peft-gpu-bnb-latest/Dockerfile/0 | {
"file_path": "peft/docker/peft-gpu-bnb-latest/Dockerfile",
"repo_id": "peft",
"token_count": 816
} | 183 |
<!--Copyright 2023 The HuggingFace Team. 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... | peft/docs/source/developer_guides/custom_models.md/0 | {
"file_path": "peft/docs/source/developer_guides/custom_models.md",
"repo_id": "peft",
"token_count": 4859
} | 184 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/examples/boft_controlnet/eval.py/0 | {
"file_path": "peft/examples/boft_controlnet/eval.py",
"repo_id": "peft",
"token_count": 3390
} | 185 |
<!--Copyright 2023 The HuggingFace Team. 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... | peft/examples/boft_dreambooth/boft_dreambooth.md/0 | {
"file_path": "peft/examples/boft_dreambooth/boft_dreambooth.md",
"repo_id": "peft",
"token_count": 2634
} | 186 |
<jupyter_start><jupyter_code>from transformers import AutoModelForCausalLM
from peft import get_peft_config, get_peft_model, PrefixTuningConfig, TaskType, PeftType
import torch
from datasets import load_dataset
import os
from transformers import AutoTokenizer
from torch.utils.data import DataLoader
from transformers im... | peft/examples/causal_language_modeling/peft_prefix_tuning_clm.ipynb/0 | {
"file_path": "peft/examples/causal_language_modeling/peft_prefix_tuning_clm.ipynb",
"repo_id": "peft",
"token_count": 4714
} | 187 |
# Copyright 2024-present the HuggingFace Inc. team.
#
# 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... | peft/examples/corda_finetuning/corda_finetuning.py/0 | {
"file_path": "peft/examples/corda_finetuning/corda_finetuning.py",
"repo_id": "peft",
"token_count": 4224
} | 188 |
<jupyter_start><jupyter_code>import argparse
import json
import logging
import math
import os
import random
from pathlib import Path
from tqdm import tqdm
import datasets
from datasets import load_dataset, DatasetDict
import evaluate
import torch
from torch import nn
from torch.utils.data import DataLoader
import tr... | peft/examples/feature_extraction/peft_lora_embedding_semantic_similarity_inference.ipynb/0 | {
"file_path": "peft/examples/feature_extraction/peft_lora_embedding_semantic_similarity_inference.ipynb",
"repo_id": "peft",
"token_count": 2679
} | 189 |
<jupyter_start><jupyter_text>Fine-tune FLAN-T5 using `bitsandbytes`, `peft` & `transformers` 🤗 In this notebook we will see how to properly use `peft` , `transformers` & `bitsandbytes` to fine-tune `flan-t5-large` in a google colab!We will finetune the model on [`financial_phrasebank`](https://huggingface.co/datasets... | peft/examples/int8_training/Finetune_flan_t5_large_bnb_peft.ipynb/0 | {
"file_path": "peft/examples/int8_training/Finetune_flan_t5_large_bnb_peft.ipynb",
"repo_id": "peft",
"token_count": 4290
} | 190 |
<jupyter_start><jupyter_code>import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
from peft import PeftConfig, PeftModel
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM, AutoTokenizer
from datasets import load_dataset
import torch
import random
peft_model_id = "smangrul/tinyllama_lo... | peft/examples/multi_adapter_examples/Lora_Merging.ipynb/0 | {
"file_path": "peft/examples/multi_adapter_examples/Lora_Merging.ipynb",
"repo_id": "peft",
"token_count": 1305
} | 191 |
# X-LoRA examples
## `xlora_inference_mistralrs.py`
Perform inference of an X-LoRA model using the inference engine mistral.rs.
Mistral.rs supports many base models besides Mistral, and can load models directly from saved LoRA checkpoints. Check out [adapter model docs](https://github.com/EricLBuehler/mistral.rs/blo... | peft/examples/xlora/README.md/0 | {
"file_path": "peft/examples/xlora/README.md",
"repo_id": "peft",
"token_count": 320
} | 192 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/mixed_model.py/0 | {
"file_path": "peft/src/peft/mixed_model.py",
"repo_id": "peft",
"token_count": 8243
} | 193 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/tuners/adaption_prompt/model.py/0 | {
"file_path": "peft/src/peft/tuners/adaption_prompt/model.py",
"repo_id": "peft",
"token_count": 2846
} | 194 |
# Copyright 2024-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/tuners/ln_tuning/model.py/0 | {
"file_path": "peft/src/peft/tuners/ln_tuning/model.py",
"repo_id": "peft",
"token_count": 3267
} | 195 |
# Copyright 2024-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/tuners/lora/eetq.py/0 | {
"file_path": "peft/src/peft/tuners/lora/eetq.py",
"repo_id": "peft",
"token_count": 1928
} | 196 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/tuners/oft/layer.py/0 | {
"file_path": "peft/src/peft/tuners/oft/layer.py",
"repo_id": "peft",
"token_count": 14598
} | 197 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/tuners/tuners_utils.py/0 | {
"file_path": "peft/src/peft/tuners/tuners_utils.py",
"repo_id": "peft",
"token_count": 21148
} | 198 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/src/peft/utils/constants.py/0 | {
"file_path": "peft/src/peft/utils/constants.py",
"repo_id": "peft",
"token_count": 5367
} | 199 |
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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... | peft/tests/test_common_gpu.py/0 | {
"file_path": "peft/tests/test_common_gpu.py",
"repo_id": "peft",
"token_count": 35269
} | 200 |
#!/usr/bin/env python3
# coding=utf-8
# Copyright 2023-present the HuggingFace Inc. team.
#
# 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
#... | peft/tests/test_low_level_api.py/0 | {
"file_path": "peft/tests/test_low_level_api.py",
"repo_id": "peft",
"token_count": 1362
} | 201 |
"""
Convert weights from https://github.com/google-research/nested-transformer
NOTE: You'll need https://github.com/google/CommonLoopUtils, not included in requirements.txt
"""
import sys
import numpy as np
import torch
from clu import checkpoint
arch_depths = {
'nest_base': [2, 2, 20],
'nest_small': [2, 2... | pytorch-image-models/convert/convert_nest_flax.py/0 | {
"file_path": "pytorch-image-models/convert/convert_nest_flax.py",
"repo_id": "pytorch-image-models",
"token_count": 2670
} | 202 |
# DenseNet
**DenseNet** is a type of convolutional neural network that utilises dense connections between layers, through [Dense Blocks](http://www.paperswithcode.com/method/dense-block), where we connect *all layers* (with matching feature-map sizes) directly with each other. To preserve the feed-forward nature, each... | pytorch-image-models/hfdocs/source/models/densenet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/densenet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 4190
} | 203 |
# Instagram ResNeXt WSL
A **ResNeXt** repeats a [building block](https://paperswithcode.com/method/resnext-block) that aggregates a set of transformations with the same topology. Compared to a [ResNet](https://paperswithcode.com/method/resnet), it exposes a new dimension, *cardinality* (the size of the set of transfo... | pytorch-image-models/hfdocs/source/models/ig-resnext.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/ig-resnext.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3233
} | 204 |
# Res2Net
**Res2Net** is an image model that employs a variation on bottleneck residual blocks, [Res2Net Blocks](https://paperswithcode.com/method/res2net-block). The motivation is to be able to represent features at multiple scales. This is achieved through a novel building block for CNNs that constructs hierarchical... | pytorch-image-models/hfdocs/source/models/res2net.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/res2net.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3952
} | 205 |
# (Tensorflow) EfficientNet CondConv
**EfficientNet** is a convolutional neural network architecture and scaling method that uniformly scales all dimensions of depth/width/resolution using a *compound coefficient*. Unlike conventional practice that arbitrary scales these factors, the EfficientNet scaling method unifor... | pytorch-image-models/hfdocs/source/models/tf-efficientnet-condconv.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/tf-efficientnet-condconv.mdx",
"repo_id": "pytorch-image-models",
"token_count": 3326
} | 206 |
dependencies = ['torch']
import timm
globals().update(timm.models._registry._model_entrypoints)
| pytorch-image-models/hubconf.py/0 | {
"file_path": "pytorch-image-models/hubconf.py",
"repo_id": "pytorch-image-models",
"token_count": 32
} | 207 |
[dist_conda]
conda_name_differences = 'torch:pytorch'
channels = pytorch
noarch = True
[metadata]
url = "https://github.com/huggingface/pytorch-image-models" | pytorch-image-models/setup.cfg/0 | {
"file_path": "pytorch-image-models/setup.cfg",
"repo_id": "pytorch-image-models",
"token_count": 65
} | 208 |
""" Quick n Simple Image Folder, Tarfile based DataSet
Hacked together by / Copyright 2019, Ross Wightman
"""
import io
import logging
from typing import Optional
import torch
import torch.utils.data as data
from PIL import Image
from .readers import create_reader
_logger = logging.getLogger(__name__)
_ERROR_RETR... | pytorch-image-models/timm/data/dataset.py/0 | {
"file_path": "pytorch-image-models/timm/data/dataset.py",
"repo_id": "pytorch-image-models",
"token_count": 2991
} | 209 |
""" A dataset reader that reads tarfile based datasets
This reader can extract image samples from:
* a single tar of image files
* a folder of multiple tarfiles containing imagefiles
* a tar of tars containing image files
Labels are based on the combined folder and/or tar name structure.
Hacked together by / Copyrig... | pytorch-image-models/timm/data/readers/reader_image_in_tar.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/reader_image_in_tar.py",
"repo_id": "pytorch-image-models",
"token_count": 4050
} | 210 |
"""
BlurPool layer inspired by
- Kornia's Max_BlurPool2d
- Making Convolutional Networks Shift-Invariant Again :cite:`zhang2019shiftinvar`
Hacked together by Chris Ha and Ross Wightman
"""
from functools import partial
from typing import Optional, Type
import torch
import torch.nn as nn
import torch.nn.functional a... | pytorch-image-models/timm/layers/blur_pool.py/0 | {
"file_path": "pytorch-image-models/timm/layers/blur_pool.py",
"repo_id": "pytorch-image-models",
"token_count": 1352
} | 211 |
""" 'Fast' Normalization Functions
For GroupNorm and LayerNorm these functions bypass typical AMP upcast to float32.
Additionally, for LayerNorm, the APEX fused LN is used if available (which also does not upcast)
Hacked together by / Copyright 2022 Ross Wightman
"""
from typing import List, Optional
import torch
f... | pytorch-image-models/timm/layers/fast_norm.py/0 | {
"file_path": "pytorch-image-models/timm/layers/fast_norm.py",
"repo_id": "pytorch-image-models",
"token_count": 2881
} | 212 |
""" PyTorch Mixed Convolution
Paper: MixConv: Mixed Depthwise Convolutional Kernels (https://arxiv.org/abs/1907.09595)
Hacked together by / Copyright 2020 Ross Wightman
"""
import torch
from torch import nn as nn
from .conv2d_same import create_conv2d_pad
def _split_channels(num_chan, num_groups):
split = [nu... | pytorch-image-models/timm/layers/mixed_conv2d.py/0 | {
"file_path": "pytorch-image-models/timm/layers/mixed_conv2d.py",
"repo_id": "pytorch-image-models",
"token_count": 834
} | 213 |
""" Split Attention Conv2d (for ResNeSt Models)
Paper: `ResNeSt: Split-Attention Networks` - /https://arxiv.org/abs/2004.08955
Adapted from original PyTorch impl at https://github.com/zhanghang1989/ResNeSt
Modified for torchscript compat, performance, and consistency with timm by Ross Wightman
"""
import torch
impor... | pytorch-image-models/timm/layers/split_attn.py/0 | {
"file_path": "pytorch-image-models/timm/layers/split_attn.py",
"repo_id": "pytorch-image-models",
"token_count": 1533
} | 214 |
""" EfficientNet, MobileNetV3, etc Builder
Assembles EfficieNet and related network feature blocks from string definitions.
Handles stride, dilation calculations, and selects feature extraction points.
Hacked together by / Copyright 2019, Ross Wightman
"""
from typing import Callable, Optional
import logging
import ... | pytorch-image-models/timm/models/_efficientnet_builder.py/0 | {
"file_path": "pytorch-image-models/timm/models/_efficientnet_builder.py",
"repo_id": "pytorch-image-models",
"token_count": 10990
} | 215 |
""" Bring-Your-Own-Attention Network
A flexible network w/ dataclass based config for stacking NN blocks including
self-attention (or similar) layers.
Currently used to implement experimental variants of:
* Bottleneck Transformers
* Lambda ResNets
* HaloNets
Consider all of the models definitions here as exper... | pytorch-image-models/timm/models/byoanet.py/0 | {
"file_path": "pytorch-image-models/timm/models/byoanet.py",
"repo_id": "pytorch-image-models",
"token_count": 9703
} | 216 |
""" EfficientFormer-V2
@article{
li2022rethinking,
title={Rethinking Vision Transformers for MobileNet Size and Speed},
author={Li, Yanyu and Hu, Ju and Wen, Yang and Evangelidis, Georgios and Salahi, Kamyar and Wang, Yanzhi and Tulyakov, Sergey and Ren, Jian},
journal={arXiv preprint arXiv:2212.08059}... | pytorch-image-models/timm/models/efficientformer_v2.py/0 | {
"file_path": "pytorch-image-models/timm/models/efficientformer_v2.py",
"repo_id": "pytorch-image-models",
"token_count": 12757
} | 217 |
import math
from copy import deepcopy
from functools import partial
from typing import Callable, Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.jit import Final
from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
from timm.layers import P... | pytorch-image-models/timm/models/hieradet_sam2.py/0 | {
"file_path": "pytorch-image-models/timm/models/hieradet_sam2.py",
"repo_id": "pytorch-image-models",
"token_count": 11828
} | 218 |
""" NasNet-A (Large)
nasnetalarge implementation grabbed from Cadene's pretrained models
https://github.com/Cadene/pretrained-models.pytorch
"""
from functools import partial
from typing import Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from timm.layers import ConvNormAct, create_co... | pytorch-image-models/timm/models/nasnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/nasnet.py",
"repo_id": "pytorch-image-models",
"token_count": 13276
} | 219 |
""" ReXNet
A PyTorch impl of `ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network` -
https://arxiv.org/abs/2007.00992
Adapted from original impl at https://github.com/clovaai/rexnet
Copyright (c) 2020-present NAVER Corp. MIT license
Changes for timm, feature extraction, and rounded channe... | pytorch-image-models/timm/models/rexnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/rexnet.py",
"repo_id": "pytorch-image-models",
"token_count": 5803
} | 220 |
""" Relative Position Vision Transformer (ViT) in PyTorch
NOTE: these models are experimental / WIP, expect changes
Hacked together by / Copyright 2022, Ross Wightman
"""
import logging
import math
from functools import partial
from typing import List, Optional, Tuple, Type, Union
try:
from typing import Literal... | pytorch-image-models/timm/models/vision_transformer_relpos.py/0 | {
"file_path": "pytorch-image-models/timm/models/vision_transformer_relpos.py",
"repo_id": "pytorch-image-models",
"token_count": 13346
} | 221 |
"""
AdamP Optimizer Implementation copied from https://github.com/clovaai/AdamP/blob/master/adamp/adamp.py
Paper: `Slowing Down the Weight Norm Increase in Momentum-based Optimizers` - https://arxiv.org/abs/2006.08217
Code: https://github.com/clovaai/AdamP
Copyright (c) 2020-present NAVER Corp.
MIT license
"""
impor... | pytorch-image-models/timm/optim/adamp.py/0 | {
"file_path": "pytorch-image-models/timm/optim/adamp.py",
"repo_id": "pytorch-image-models",
"token_count": 2028
} | 222 |
"""RAdam Optimizer.
Implementation lifted from: https://github.com/LiyuanLucasLiu/RAdam
Paper: `On the Variance of the Adaptive Learning Rate and Beyond` - https://arxiv.org/abs/1908.03265
NOTE: This impl has been deprecated in favour of torch.optim.RAdam and remains as a reference
"""
import math
import torch
from to... | pytorch-image-models/timm/optim/radam.py/0 | {
"file_path": "pytorch-image-models/timm/optim/radam.py",
"repo_id": "pytorch-image-models",
"token_count": 2159
} | 223 |
import fnmatch
import re
from collections import OrderedDict
from typing import Union, Optional, List
import torch
class AttentionExtract(torch.nn.Module):
# defaults should cover a significant number of timm models with attention maps.
default_node_names = ['*attn.softmax']
default_module_names = ['*att... | pytorch-image-models/timm/utils/attention_extract.py/0 | {
"file_path": "pytorch-image-models/timm/utils/attention_extract.py",
"repo_id": "pytorch-image-models",
"token_count": 1467
} | 224 |
#!/usr/bin/env python3
""" ImageNet Training Script
This is intended to be a lean and easily modifiable ImageNet training script that reproduces ImageNet
training results with some of the latest networks and training techniques. It favours canonical PyTorch
and standard Python style over trying to be able to 'do it al... | pytorch-image-models/train.py/0 | {
"file_path": "pytorch-image-models/train.py",
"repo_id": "pytorch-image-models",
"token_count": 26015
} | 225 |
<!--Copyright 2024 The HuggingFace Team. 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... | smolagents/docs/source/en/conceptual_guides/intro_agents.mdx/0 | {
"file_path": "smolagents/docs/source/en/conceptual_guides/intro_agents.mdx",
"repo_id": "smolagents",
"token_count": 2434
} | 226 |
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