text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
# 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/scripts/convert_stable_diffusion_checkpoint_to_onnx.py/0 | {
"file_path": "diffusers/scripts/convert_stable_diffusion_checkpoint_to_onnx.py",
"repo_id": "diffusers",
"token_count": 4384
} | 110 |
__version__ = "0.33.0.dev0"
from typing import TYPE_CHECKING
from .utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_k_diffusion_available,
is_librosa_available,
is_note_seq_available,
is_onnx_available,
is_scipy_available,
... | diffusers/src/diffusers/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/__init__.py",
"repo_id": "diffusers",
"token_count": 19659
} | 111 |
# 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/hooks/layerwise_casting.py/0 | {
"file_path": "diffusers/src/diffusers/hooks/layerwise_casting.py",
"repo_id": "diffusers",
"token_count": 4008
} | 112 |
# 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/loaders/unet_loader_utils.py/0 | {
"file_path": "diffusers/src/diffusers/loaders/unet_loader_utils.py",
"repo_id": "diffusers",
"token_count": 2650
} | 113 |
# Copyright 2024 The Lightricks team 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
#
# Un... | diffusers/src/diffusers/models/autoencoders/autoencoder_kl_ltx.py/0 | {
"file_path": "diffusers/src/diffusers/models/autoencoders/autoencoder_kl_ltx.py",
"repo_id": "diffusers",
"token_count": 26075
} | 114 |
# Copyright 2024 Black Forest Labs, The HuggingFace Team and The InstantX 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/LIC... | diffusers/src/diffusers/models/controlnets/controlnet_flux.py/0 | {
"file_path": "diffusers/src/diffusers/models/controlnets/controlnet_flux.py",
"repo_id": "diffusers",
"token_count": 10380
} | 115 |
# coding=utf-8
# Copyright 2025 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... | diffusers/src/diffusers/models/modeling_pytorch_flax_utils.py/0 | {
"file_path": "diffusers/src/diffusers/models/modeling_pytorch_flax_utils.py",
"repo_id": "diffusers",
"token_count": 3050
} | 116 |
# 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/transformers/sana_transformer.py/0 | {
"file_path": "diffusers/src/diffusers/models/transformers/sana_transformer.py",
"repo_id": "diffusers",
"token_count": 8867
} | 117 |
# 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_1d.py/0 | {
"file_path": "diffusers/src/diffusers/models/unets/unet_1d.py",
"repo_id": "diffusers",
"token_count": 4887
} | 118 |
# 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/vae_flax.py/0 | {
"file_path": "diffusers/src/diffusers/models/vae_flax.py",
"repo_id": "diffusers",
"token_count": 14479
} | 119 |
# 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/animatediff/pipeline_animatediff_sparsectrl.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/animatediff/pipeline_animatediff_sparsectrl.py",
"repo_id": "diffusers",
"token_count": 22745
} | 120 |
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/controlnet_hunyuandit/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/controlnet_hunyuandit/__init__.py",
"repo_id": "diffusers",
"token_count": 530
} | 121 |
from typing import TYPE_CHECKING
from ....utils import DIFFUSERS_SLOW_IMPORT, _LazyModule
_import_structure = {
"mel": ["Mel"],
"pipeline_audio_diffusion": ["AudioDiffusionPipeline"],
}
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
from .mel import Mel
from .pipeline_audio_diffusion import AudioDiffusi... | diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/audio_diffusion/__init__.py",
"repo_id": "diffusers",
"token_count": 212
} | 122 |
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/deprecated/stable_diffusion_variants/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/stable_diffusion_variants/__init__.py",
"repo_id": "diffusers",
"token_count": 817
} | 123 |
# Copyright 2024 Microsoft 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 require... | diffusers/src/diffusers/pipelines/deprecated/vq_diffusion/pipeline_vq_diffusion.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/deprecated/vq_diffusion/pipeline_vq_diffusion.py",
"repo_id": "diffusers",
"token_count": 6456
} | 124 |
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
import torch
from ...utils import BaseOutput
@dataclass
class FluxPipelineOutput(BaseOutput):
"""
Output class for Stable Diffusion pipelines.
Args:
images (`List[PIL.Image.Image]` or `np.ndarra... | diffusers/src/diffusers/pipelines/flux/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/flux/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 406
} | 125 |
# 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/kandinsky/pipeline_kandinsky_prior.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/kandinsky/pipeline_kandinsky_prior.py",
"repo_id": "diffusers",
"token_count": 10731
} | 126 |
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL.Image
from ...utils import BaseOutput
@dataclass
class LEditsPPDiffusionPipelineOutput(BaseOutput):
"""
Output class for LEdits++ Diffusion pipelines.
Args:
images (`List[PIL.Image.Image]` o... | diffusers/src/diffusers/pipelines/ledits_pp/pipeline_output.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/ledits_pp/pipeline_output.py",
"repo_id": "diffusers",
"token_count": 613
} | 127 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
get_objects_from_module,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_tr... | diffusers/src/diffusers/pipelines/musicldm/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/musicldm/__init__.py",
"repo_id": "diffusers",
"token_count": 559
} | 128 |
# 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/pipeline_utils.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/pipeline_utils.py",
"repo_id": "diffusers",
"token_count": 43822
} | 129 |
# Copyright 2024 Stability AI 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/pipelines/stable_audio/modeling_stable_audio.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_audio/modeling_stable_audio.py",
"repo_id": "diffusers",
"token_count": 2312
} | 130 |
# 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/pipeline_onnx_stable_diffusion_upscale.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_upscale.py",
"repo_id": "diffusers",
"token_count": 12555
} | 131 |
from typing import TYPE_CHECKING
from ...utils import (
DIFFUSERS_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
_dummy_objects = {}
_import_structure = {}
try:
if not (is_transformers_available() and is_torch_available()):
... | diffusers/src/diffusers/pipelines/unidiffuser/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/pipelines/unidiffuser/__init__.py",
"repo_id": "diffusers",
"token_count": 733
} | 132 |
from .bnb_quantizer import BnB4BitDiffusersQuantizer, BnB8BitDiffusersQuantizer
from .utils import dequantize_and_replace, dequantize_bnb_weight, replace_with_bnb_linear
| diffusers/src/diffusers/quantizers/bitsandbytes/__init__.py/0 | {
"file_path": "diffusers/src/diffusers/quantizers/bitsandbytes/__init__.py",
"repo_id": "diffusers",
"token_count": 55
} | 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/schedulers/scheduling_consistency_models.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_consistency_models.py",
"repo_id": "diffusers",
"token_count": 8127
} | 134 |
# Copyright 2024 Katherine Crowson, The HuggingFace Team and hlky. 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
#
# ... | diffusers/src/diffusers/schedulers/scheduling_dpmsolver_sde.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_dpmsolver_sde.py",
"repo_id": "diffusers",
"token_count": 13069
} | 135 |
# 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_lms_discrete_flax.py/0 | {
"file_path": "diffusers/src/diffusers/schedulers/scheduling_lms_discrete_flax.py",
"repo_id": "diffusers",
"token_count": 4681
} | 136 |
# coding=utf-8
# Copyright 2025 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... | diffusers/src/diffusers/utils/dynamic_modules_utils.py/0 | {
"file_path": "diffusers/src/diffusers/utils/dynamic_modules_utils.py",
"repo_id": "diffusers",
"token_count": 7859
} | 137 |
# 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/lora/test_lora_layers_sd3.py/0 | {
"file_path": "diffusers/tests/lora/test_lora_layers_sd3.py",
"repo_id": "diffusers",
"token_count": 2812
} | 138 |
# 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_vq.py/0 | {
"file_path": "diffusers/tests/models/autoencoders/test_models_vq.py",
"repo_id": "diffusers",
"token_count": 1611
} | 139 |
# 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_consisid.py/0 | {
"file_path": "diffusers/tests/models/transformers/test_models_transformer_consisid.py",
"repo_id": "diffusers",
"token_count": 1560
} | 140 |
# 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_2d_condition.py/0 | {
"file_path": "diffusers/tests/models/unets/test_models_unet_2d_condition.py",
"repo_id": "diffusers",
"token_count": 27414
} | 141 |
import pickle as pkl
import unittest
from dataclasses import dataclass
from typing import List, Union
import numpy as np
import PIL.Image
from diffusers.utils.outputs import BaseOutput
from diffusers.utils.testing_utils import require_torch
@dataclass
class CustomOutput(BaseOutput):
images: Union[List[PIL.Image... | diffusers/tests/others/test_outputs.py/0 | {
"file_path": "diffusers/tests/others/test_outputs.py",
"repo_id": "diffusers",
"token_count": 1506
} | 142 |
# 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/cogview3/test_cogview3plus.py/0 | {
"file_path": "diffusers/tests/pipelines/cogview3/test_cogview3plus.py",
"repo_id": "diffusers",
"token_count": 4471
} | 143 |
# 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/kolors/test_kolors_img2img.py/0 | {
"file_path": "diffusers/tests/pipelines/kolors/test_kolors_img2img.py",
"repo_id": "diffusers",
"token_count": 2578
} | 144 |
import gc
import unittest
import numpy as np
import torch
from transformers import AutoTokenizer, GemmaConfig, GemmaForCausalLM
from diffusers import AutoencoderKL, FlowMatchEulerDiscreteScheduler, LuminaNextDiT2DModel, LuminaText2ImgPipeline
from diffusers.utils.testing_utils import (
numpy_cosine_similarity_dis... | diffusers/tests/pipelines/lumina/test_lumina_nextdit.py/0 | {
"file_path": "diffusers/tests/pipelines/lumina/test_lumina_nextdit.py",
"repo_id": "diffusers",
"token_count": 2937
} | 145 |
# 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.py/0 | {
"file_path": "diffusers/tests/pipelines/stable_diffusion_2/test_stable_diffusion.py",
"repo_id": "diffusers",
"token_count": 7777
} | 146 |
import gc
import inspect
import json
import os
import tempfile
import unittest
import uuid
from typing import Any, Callable, Dict, Union
import numpy as np
import PIL.Image
import torch
import torch.nn as nn
from huggingface_hub import ModelCard, delete_repo
from huggingface_hub.utils import is_jinja_available
from tr... | diffusers/tests/pipelines/test_pipelines_common.py/0 | {
"file_path": "diffusers/tests/pipelines/test_pipelines_common.py",
"repo_id": "diffusers",
"token_count": 50079
} | 147 |
# 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/wuerstchen/test_wuerstchen_prior.py/0 | {
"file_path": "diffusers/tests/pipelines/wuerstchen/test_wuerstchen_prior.py",
"repo_id": "diffusers",
"token_count": 4000
} | 148 |
import tempfile
import unittest
import torch
from diffusers import (
DEISMultistepScheduler,
DPMSolverMultistepScheduler,
DPMSolverSinglestepScheduler,
UniPCMultistepScheduler,
)
from .test_schedulers import SchedulerCommonTest
class DPMSolverMultistepSchedulerTest(SchedulerCommonTest):
schedul... | diffusers/tests/schedulers/test_scheduler_dpm_multi.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_dpm_multi.py",
"repo_id": "diffusers",
"token_count": 7522
} | 149 |
import torch
from diffusers import SASolverScheduler
from diffusers.utils.testing_utils import require_torchsde, torch_device
from .test_schedulers import SchedulerCommonTest
@require_torchsde
class SASolverSchedulerTest(SchedulerCommonTest):
scheduler_classes = (SASolverScheduler,)
forward_default_kwargs =... | diffusers/tests/schedulers/test_scheduler_sasolver.py/0 | {
"file_path": "diffusers/tests/schedulers/test_scheduler_sasolver.py",
"repo_id": "diffusers",
"token_count": 3611
} | 150 |
import gc
import tempfile
import unittest
import torch
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
from diffusers.loaders.single_file_utils import _extract_repo_id_and_weights_name
from diffusers.utils import load_image
from diffusers.utils.testing_utils import (
backend_empty_cache,
... | diffusers/tests/single_file/test_stable_diffusion_controlnet_img2img_single_file.py/0 | {
"file_path": "diffusers/tests/single_file/test_stable_diffusion_controlnet_img2img_single_file.py",
"repo_id": "diffusers",
"token_count": 3609
} | 151 |
# coding=utf-8
# Copyright 2025 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... | diffusers/utils/check_inits.py/0 | {
"file_path": "diffusers/utils/check_inits.py",
"repo_id": "diffusers",
"token_count": 5410
} | 152 |
# coding=utf-8
# Copyright 2021 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... | diffusers/utils/tests_fetcher.py/0 | {
"file_path": "diffusers/utils/tests_fetcher.py",
"repo_id": "diffusers",
"token_count": 19563
} | 153 |
<p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="media/lerobot-logo-thumbnail.png">
<source media="(prefers-color-scheme: light)" srcset="media/lerobot-logo-thumbnail.png">
<img alt="LeRobot, Hugging Face Robotics Library" src="media/lerobot-logo-thumbnail.png" style="max-... | lerobot/README.md/0 | {
"file_path": "lerobot/README.md",
"repo_id": "lerobot",
"token_count": 7125
} | 154 |
"""
This script demonstrates how to use torchvision's image transformation with LeRobotDataset for data
augmentation purposes. The transformations are passed to the dataset as an argument upon creation, and
transforms are applied to the observation images before they are returned in the dataset's __getitem__.
"""
from... | lerobot/examples/advanced/1_add_image_transforms.py/0 | {
"file_path": "lerobot/examples/advanced/1_add_image_transforms.py",
"repo_id": "lerobot",
"token_count": 684
} | 155 |
#!/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/datasets/push_dataset_to_hub/utils.py/0 | {
"file_path": "lerobot/lerobot/common/datasets/push_dataset_to_hub/utils.py",
"repo_id": "lerobot",
"token_count": 1944
} | 156 |
from .act.configuration_act import ACTConfig as ACTConfig
from .diffusion.configuration_diffusion import DiffusionConfig as DiffusionConfig
from .pi0.configuration_pi0 import PI0Config as PI0Config
from .tdmpc.configuration_tdmpc import TDMPCConfig as TDMPCConfig
from .vqbet.configuration_vqbet import VQBeTConfig as VQ... | lerobot/lerobot/common/policies/__init__.py/0 | {
"file_path": "lerobot/lerobot/common/policies/__init__.py",
"repo_id": "lerobot",
"token_count": 101
} | 157 |
#!/usr/bin/env python
# Copyright 2024 Nicklas Hansen, Xiaolong Wang, Hao Su,
# 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 compliance with the License.
# You may obtain a copy of the License at
#
# ht... | lerobot/lerobot/common/policies/tdmpc/configuration_tdmpc.py/0 | {
"file_path": "lerobot/lerobot/common/policies/tdmpc/configuration_tdmpc.py",
"repo_id": "lerobot",
"token_count": 4270
} | 158 |
import abc
from dataclasses import dataclass, field
from typing import Sequence
import draccus
from lerobot.common.robot_devices.cameras.configs import (
CameraConfig,
IntelRealSenseCameraConfig,
OpenCVCameraConfig,
)
from lerobot.common.robot_devices.motors.configs import (
DynamixelMotorsBusConfig,
... | lerobot/lerobot/common/robot_devices/robots/configs.py/0 | {
"file_path": "lerobot/lerobot/common/robot_devices/robots/configs.py",
"repo_id": "lerobot",
"token_count": 10320
} | 159 |
#!/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/configs/default.py/0 | {
"file_path": "lerobot/lerobot/configs/default.py",
"repo_id": "lerobot",
"token_count": 929
} | 160 |
#!/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/scripts/visualize_dataset_html.py/0 | {
"file_path": "lerobot/lerobot/scripts/visualize_dataset_html.py",
"repo_id": "lerobot",
"token_count": 7248
} | 161 |
version https://git-lfs.github.com/spec/v1
oid sha256:c3dcff0a705ebfdaf11b7f49ad85b464eff03477ace3d63ce45d6a3a10b429d5
size 111338
| lerobot/tests/data/save_dataset_to_safetensors/lerobot/pusht/frame_0.safetensors/0 | {
"file_path": "lerobot/tests/data/save_dataset_to_safetensors/lerobot/pusht/frame_0.safetensors",
"repo_id": "lerobot",
"token_count": 65
} | 162 |
version https://git-lfs.github.com/spec/v1
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size 68
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"file_path": "lerobot/tests/data/save_policy_to_safetensors/aloha_act/output_dict.safetensors",
"repo_id": "lerobot",
"token_count": 66
} | 163 |
#!/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/scripts/save_dataset_to_safetensors.py/0 | {
"file_path": "lerobot/tests/scripts/save_dataset_to_safetensors.py",
"repo_id": "lerobot",
"token_count": 1387
} | 164 |
import pytest
import torch
from lerobot.common.constants import (
OPTIMIZER_PARAM_GROUPS,
OPTIMIZER_STATE,
)
from lerobot.common.optim.optimizers import (
AdamConfig,
AdamWConfig,
SGDConfig,
load_optimizer_state,
save_optimizer_state,
)
@pytest.mark.parametrize(
"config_cls, expected_... | lerobot/tests/test_optimizers.py/0 | {
"file_path": "lerobot/tests/test_optimizers.py",
"repo_id": "lerobot",
"token_count": 489
} | 165 |
# Model arguments
model_name_or_path: Qwen/Qwen2.5-1.5B-Instruct
model_revision: main
torch_dtype: bfloat16
attn_implementation: flash_attention_2
# Data training arguments
dataset_name: open-r1/verifiable-coding-problems-python-10k
dataset_configs:
- default
system_prompt: "You are a helpful AI Assistant that provide... | open-r1/recipes/Qwen2.5-1.5B-Instruct/grpo/config_demo_code.yaml/0 | {
"file_path": "open-r1/recipes/Qwen2.5-1.5B-Instruct/grpo/config_demo_code.yaml",
"repo_id": "open-r1",
"token_count": 567
} | 166 |
#!/bin/bash
#SBATCH --job-name=r1-server
#SBATCH --partition=hopper-prod
#SBATCH --qos=normal
#SBATCH --nodes=2
#SBATCH --gpus-per-node=8
#SBATCH --exclusive
#SBATCH --output=./logs/%x_%j_%n.out
#SBATCH --error=./logs/%x_%j_%n.err
#SBATCH --time=7-00:00:00
#SBATCH --ntasks-per-node=1
set -exuo pipefail
MODEL_PATH="de... | open-r1/slurm/serve_r1.slurm/0 | {
"file_path": "open-r1/slurm/serve_r1.slurm",
"repo_id": "open-r1",
"token_count": 1544
} | 167 |
import os
def init_wandb_training(training_args):
"""
Helper function for setting up Weights & Biases logging tools.
"""
if training_args.wandb_entity is not None:
os.environ["WANDB_ENTITY"] = training_args.wandb_entity
if training_args.wandb_project is not None:
os.environ["WANDB_... | open-r1/src/open_r1/utils/wandb_logging.py/0 | {
"file_path": "open-r1/src/open_r1/utils/wandb_logging.py",
"repo_id": "open-r1",
"token_count": 142
} | 168 |
<!--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/conceptual_guides/ia3.md/0 | {
"file_path": "peft/docs/source/conceptual_guides/ia3.md",
"repo_id": "peft",
"token_count": 1030
} | 169 |
<!--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... | peft/docs/source/task_guides/prompt_based_methods.md/0 | {
"file_path": "peft/docs/source/task_guides/prompt_based_methods.md",
"repo_id": "peft",
"token_count": 4607
} | 170 |
# 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 applicabl... | peft/examples/boft_controlnet/utils/pipeline_controlnet.py/0 | {
"file_path": "peft/examples/boft_controlnet/utils/pipeline_controlnet.py",
"repo_id": "peft",
"token_count": 9939
} | 171 |
# 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/eva_finetuning/eva_finetuning.py/0 | {
"file_path": "peft/examples/eva_finetuning/eva_finetuning.py",
"repo_id": "peft",
"token_count": 998
} | 172 |
import argparse
import os
from collections import Counter
from dataclasses import dataclass
from typing import Dict, Optional
import safetensors
import torch
from diffusers import UNet2DConditionModel
from transformers import CLIPTextModel
from peft import LoraConfig, get_peft_model, get_peft_model_state_dict, set_pe... | peft/examples/lora_dreambooth/convert_kohya_ss_sd_lora_to_peft.py/0 | {
"file_path": "peft/examples/lora_dreambooth/convert_kohya_ss_sd_lora_to_peft.py",
"repo_id": "peft",
"token_count": 2947
} | 173 |
# 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/pissa_finetuning/preprocess.py/0 | {
"file_path": "peft/examples/pissa_finetuning/preprocess.py",
"repo_id": "peft",
"token_count": 942
} | 174 |
# Supervised Fine-tuning (SFT) with PEFT
In this example, we'll see how to use [PEFT](https://github.com/huggingface/peft) to perform SFT using PEFT on various distributed setups.
## Single GPU SFT with QLoRA
QLoRA uses 4-bit quantization of the base model to drastically reduce the GPU memory consumed by the base mode... | peft/examples/sft/README.md/0 | {
"file_path": "peft/examples/sft/README.md",
"repo_id": "peft",
"token_count": 852
} | 175 |
import argparse
import json
import logging
import os
from collections import Counter
from dataclasses import dataclass
from operator import attrgetter
from typing import Dict, List, Optional, Union
import safetensors
import torch
import torch.nn as nn
from diffusers import UNet2DConditionModel
from transformers import... | peft/examples/stable_diffusion/convert_sd_adapter_to_peft.py/0 | {
"file_path": "peft/examples/stable_diffusion/convert_sd_adapter_to_peft.py",
"repo_id": "peft",
"token_count": 10390
} | 176 |
# 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/config.py/0 | {
"file_path": "peft/src/peft/config.py",
"repo_id": "peft",
"token_count": 5717
} | 177 |
# 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/adalora/layer.py/0 | {
"file_path": "peft/src/peft/tuners/adalora/layer.py",
"repo_id": "peft",
"token_count": 7174
} | 178 |
# 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/bone/layer.py/0 | {
"file_path": "peft/src/peft/tuners/bone/layer.py",
"repo_id": "peft",
"token_count": 6693
} | 179 |
# 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/ia3/layer.py/0 | {
"file_path": "peft/src/peft/tuners/ia3/layer.py",
"repo_id": "peft",
"token_count": 6856
} | 180 |
# 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/awq.py/0 | {
"file_path": "peft/src/peft/tuners/lora/awq.py",
"repo_id": "peft",
"token_count": 1820
} | 181 |
# 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/prefix_tuning/config.py/0 | {
"file_path": "peft/src/peft/tuners/prefix_tuning/config.py",
"repo_id": "peft",
"token_count": 463
} | 182 |
# 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/xlora/classifier.py/0 | {
"file_path": "peft/src/peft/tuners/xlora/classifier.py",
"repo_id": "peft",
"token_count": 3252
} | 183 |
# 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/conftest.py/0 | {
"file_path": "peft/tests/conftest.py",
"repo_id": "peft",
"token_count": 356
} | 184 |
# 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/tests/test_incremental_pca.py/0 | {
"file_path": "peft/tests/test_incremental_pca.py",
"repo_id": "peft",
"token_count": 2752
} | 185 |
# 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/tests/test_vision_models.py/0 | {
"file_path": "peft/tests/test_vision_models.py",
"repo_id": "peft",
"token_count": 2462
} | 186 |
#!/usr/bin/env python3
""" Checkpoint Averaging Script
This script averages all model weights for checkpoints in specified path that match
the specified filter wildcard. All checkpoints must be from the exact same model.
For any hope of decent results, the checkpoints should be from the same or child
(via resumes) tr... | pytorch-image-models/avg_checkpoints.py/0 | {
"file_path": "pytorch-image-models/avg_checkpoints.py",
"repo_id": "pytorch-image-models",
"token_count": 2377
} | 187 |
# AdvProp (EfficientNet)
**AdvProp** is an adversarial training scheme which treats adversarial examples as additional examples, to prevent overfitting. Key to the method is the usage of a separate auxiliary batch norm for adversarial examples, as they have different underlying distributions to normal examples.
The w... | pytorch-image-models/hfdocs/source/models/advprop.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/advprop.mdx",
"repo_id": "pytorch-image-models",
"token_count": 6034
} | 188 |
# (Gluon) ResNeXt
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 transformatio... | pytorch-image-models/hfdocs/source/models/gloun-resnext.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/gloun-resnext.mdx",
"repo_id": "pytorch-image-models",
"token_count": 2711
} | 189 |
# NASNet
**NASNet** is a type of convolutional neural network discovered through neural architecture search. The building blocks consist of normal and reduction cells.
## How do I use this model on an image?
To load a pretrained model:
```py
>>> import timm
>>> model = timm.create_model('nasnetalarge', pretrained=T... | pytorch-image-models/hfdocs/source/models/nasnet.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/models/nasnet.mdx",
"repo_id": "pytorch-image-models",
"token_count": 1538
} | 190 |
# Models
[[autodoc]] timm.create_model
[[autodoc]] timm.list_models
| pytorch-image-models/hfdocs/source/reference/models.mdx/0 | {
"file_path": "pytorch-image-models/hfdocs/source/reference/models.mdx",
"repo_id": "pytorch-image-models",
"token_count": 29
} | 191 |
from abc import abstractmethod
class Reader:
def __init__(self):
pass
@abstractmethod
def _filename(self, index, basename=False, absolute=False):
pass
def filename(self, index, basename=False, absolute=False):
return self._filename(index, basename=basename, absolute=absolute)... | pytorch-image-models/timm/data/readers/reader.py/0 | {
"file_path": "pytorch-image-models/timm/data/readers/reader.py",
"repo_id": "pytorch-image-models",
"token_count": 171
} | 192 |
""" Activations (memory-efficient w/ custom autograd)
A collection of activations fn and modules with a common interface so that they can
easily be swapped. All have an `inplace` arg even if not used.
These activations are not compatible with jit scripting or ONNX export of the model, please use
basic versions of the... | pytorch-image-models/timm/layers/activations_me.py/0 | {
"file_path": "pytorch-image-models/timm/layers/activations_me.py",
"repo_id": "pytorch-image-models",
"token_count": 2424
} | 193 |
""" Norm Layer Factory
Create norm modules by string (to mirror create_act and creat_norm-act fns)
Copyright 2022 Ross Wightman
"""
import functools
import types
from typing import Type
import torch.nn as nn
from .norm import GroupNorm, GroupNorm1, LayerNorm, LayerNorm2d, RmsNorm, RmsNorm2d, SimpleNorm, SimpleNorm2... | pytorch-image-models/timm/layers/create_norm.py/0 | {
"file_path": "pytorch-image-models/timm/layers/create_norm.py",
"repo_id": "pytorch-image-models",
"token_count": 688
} | 194 |
""" Interpolation helpers for timm layers
RegularGridInterpolator from https://github.com/sbarratt/torch_interpolations
Copyright Shane Barratt, Apache 2.0 license
"""
import torch
from itertools import product
class RegularGridInterpolator:
""" Interpolate data defined on a rectilinear grid with even or uneven ... | pytorch-image-models/timm/layers/interpolate.py/0 | {
"file_path": "pytorch-image-models/timm/layers/interpolate.py",
"repo_id": "pytorch-image-models",
"token_count": 1121
} | 195 |
""" Relative position embedding modules and functions
Hacked together by / Copyright 2022 Ross Wightman
"""
import math
import os
from typing import Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from .grid import ndgrid
from .interpolate import RegularGridInterpolator
from .mlp i... | pytorch-image-models/timm/layers/pos_embed_rel.py/0 | {
"file_path": "pytorch-image-models/timm/layers/pos_embed_rel.py",
"repo_id": "pytorch-image-models",
"token_count": 9303
} | 196 |
""" Cross Entropy w/ smoothing or soft targets
Hacked together by / Copyright 2021 Ross Wightman
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
class LabelSmoothingCrossEntropy(nn.Module):
""" NLL loss with label smoothing.
"""
def __init__(self, smoothing=0.1):
super(Lab... | pytorch-image-models/timm/loss/cross_entropy.py/0 | {
"file_path": "pytorch-image-models/timm/loss/cross_entropy.py",
"repo_id": "pytorch-image-models",
"token_count": 470
} | 197 |
"""Pytorch Densenet implementation w/ tweaks
This file is a copy of https://github.com/pytorch/vision 'densenet.py' (BSD-3-Clause) with
fixed kwargs passthrough and addition of dynamic global avg/max pool.
"""
import re
from collections import OrderedDict
import torch
import torch.nn as nn
import torch.nn.functional a... | pytorch-image-models/timm/models/densenet.py/0 | {
"file_path": "pytorch-image-models/timm/models/densenet.py",
"repo_id": "pytorch-image-models",
"token_count": 7591
} | 198 |
"""
An implementation of GhostNet & GhostNetV2 Models as defined in:
GhostNet: More Features from Cheap Operations. https://arxiv.org/abs/1911.11907
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. https://proceedings.neurips.cc/paper_files/paper/2022/file/40b60852a4abdaa696b5a1a78da34635-Paper-Conference... | pytorch-image-models/timm/models/ghostnet.py/0 | {
"file_path": "pytorch-image-models/timm/models/ghostnet.py",
"repo_id": "pytorch-image-models",
"token_count": 7473
} | 199 |
"""
Poolformer from MetaFormer is Actually What You Need for Vision https://arxiv.org/abs/2111.11418
IdentityFormer, RandFormer, PoolFormerV2, ConvFormer, and CAFormer
from MetaFormer Baselines for Vision https://arxiv.org/abs/2210.13452
All implemented models support feature extraction and variable input resolution.... | pytorch-image-models/timm/models/metaformer.py/0 | {
"file_path": "pytorch-image-models/timm/models/metaformer.py",
"repo_id": "pytorch-image-models",
"token_count": 17650
} | 200 |
""" RepViT
Paper: `RepViT: Revisiting Mobile CNN From ViT Perspective`
- https://arxiv.org/abs/2307.09283
@misc{wang2023repvit,
title={RepViT: Revisiting Mobile CNN From ViT Perspective},
author={Ao Wang and Hui Chen and Zijia Lin and Hengjun Pu and Guiguang Ding},
year={2023},
eprint={23... | pytorch-image-models/timm/models/repvit.py/0 | {
"file_path": "pytorch-image-models/timm/models/repvit.py",
"repo_id": "pytorch-image-models",
"token_count": 8378
} | 201 |
""" Twins
A PyTorch impl of : `Twins: Revisiting the Design of Spatial Attention in Vision Transformers`
- https://arxiv.org/pdf/2104.13840.pdf
Code/weights from https://github.com/Meituan-AutoML/Twins, original copyright/license info below
"""
# --------------------------------------------------------
# Twins
# ... | pytorch-image-models/timm/models/twins.py/0 | {
"file_path": "pytorch-image-models/timm/models/twins.py",
"repo_id": "pytorch-image-models",
"token_count": 11134
} | 202 |
from typing import Any, Dict, Iterable, Union, Protocol, Type
try:
from typing import TypeAlias, TypeVar
except ImportError:
from typing_extensions import TypeAlias, TypeVar
import torch
import torch.optim
try:
from torch.optim.optimizer import ParamsT
except (ImportError, TypeError):
ParamsT: TypeAli... | pytorch-image-models/timm/optim/_types.py/0 | {
"file_path": "pytorch-image-models/timm/optim/_types.py",
"repo_id": "pytorch-image-models",
"token_count": 217
} | 203 |
""" PyTorch MARS Optimizer
Code simplified from https://github.com/AGI-Arena/MARS
Paper: MARS: Unleashing the Power of Variance Reduction for Training Large Models - https://arxiv.org/abs/2411.10438
@article{yuan2024mars,
title={MARS: Unleashing the Power of Variance Reduction for Training Large Models},
author=... | pytorch-image-models/timm/optim/mars.py/0 | {
"file_path": "pytorch-image-models/timm/optim/mars.py",
"repo_id": "pytorch-image-models",
"token_count": 3950
} | 204 |
""" Scheduler Factory
Hacked together by / Copyright 2021 Ross Wightman
"""
from typing import List, Optional, Union
from torch.optim import Optimizer
from .cosine_lr import CosineLRScheduler
from .multistep_lr import MultiStepLRScheduler
from .plateau_lr import PlateauLRScheduler
from .poly_lr import PolyLRScheduler... | pytorch-image-models/timm/scheduler/scheduler_factory.py/0 | {
"file_path": "pytorch-image-models/timm/scheduler/scheduler_factory.py",
"repo_id": "pytorch-image-models",
"token_count": 3536
} | 205 |
""" Exponential Moving Average (EMA) of model updates
Hacked together by / Copyright 2020 Ross Wightman
"""
import logging
from collections import OrderedDict
from copy import deepcopy
from typing import Optional
import torch
import torch.nn as nn
_logger = logging.getLogger(__name__)
class ModelEma:
""" Model... | pytorch-image-models/timm/utils/model_ema.py/0 | {
"file_path": "pytorch-image-models/timm/utils/model_ema.py",
"repo_id": "pytorch-image-models",
"token_count": 4614
} | 206 |
.PHONY: quality style test docs utils
check_dirs := examples src tests utils
# Check code quality of the source code
quality:
ruff check $(check_dirs)
ruff format --check $(check_dirs)
python utils/check_tests_in_ci.py
# Format source code automatically
style:
ruff check $(check_dirs) --fix
ruff format $(check_... | smolagents/Makefile/0 | {
"file_path": "smolagents/Makefile",
"repo_id": "smolagents",
"token_count": 123
} | 207 |
<!--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/tutorials/building_good_agents.mdx/0 | {
"file_path": "smolagents/docs/source/en/tutorials/building_good_agents.mdx",
"repo_id": "smolagents",
"token_count": 4192
} | 208 |
<!--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/hi/tutorials/building_good_agents.mdx/0 | {
"file_path": "smolagents/docs/source/hi/tutorials/building_good_agents.mdx",
"repo_id": "smolagents",
"token_count": 12675
} | 209 |
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