text stringlengths 5 409k | id stringlengths 14 178 | metadata dict | __index_level_0__ int64 0 572 |
|---|---|---|---|
# 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... | transformers/tests/models/bloom/test_modeling_flax_bloom.py/0 | {
"file_path": "transformers/tests/models/bloom/test_modeling_flax_bloom.py",
"repo_id": "transformers",
"token_count": 4230
} | 478 |
# coding=utf-8
# Copyright 2021 Google AI and 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 ... | transformers/tests/models/canine/test_tokenization_canine.py/0 | {
"file_path": "transformers/tests/models/canine/test_tokenization_canine.py",
"repo_id": "transformers",
"token_count": 7173
} | 479 |
import inspect
import tempfile
import unittest
import numpy as np
from transformers import CLIPConfig, CLIPTextConfig, CLIPVisionConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attenti... | transformers/tests/models/clip/test_modeling_flax_clip.py/0 | {
"file_path": "transformers/tests/models/clip/test_modeling_flax_clip.py",
"repo_id": "transformers",
"token_count": 8468
} | 480 |
# coding=utf-8
# Copyright 2022s 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 a... | transformers/tests/models/convnext/test_image_processing_convnext.py/0 | {
"file_path": "transformers/tests/models/convnext/test_image_processing_convnext.py",
"repo_id": "transformers",
"token_count": 1853
} | 481 |
# coding=utf-8
# Copyright 2022 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
#
# Unless r... | transformers/tests/models/cvt/test_modeling_cvt.py/0 | {
"file_path": "transformers/tests/models/cvt/test_modeling_cvt.py",
"repo_id": "transformers",
"token_count": 4157
} | 482 |
# coding=utf-8
# Copyright 2021 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
#
# Unless r... | transformers/tests/models/deberta/test_modeling_tf_deberta.py/0 | {
"file_path": "transformers/tests/models/deberta/test_modeling_tf_deberta.py",
"repo_id": "transformers",
"token_count": 4967
} | 483 |
# coding=utf-8
# 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
#
# Unless r... | transformers/tests/models/depth_anything/test_modeling_depth_anything.py/0 | {
"file_path": "transformers/tests/models/depth_anything/test_modeling_depth_anything.py",
"repo_id": "transformers",
"token_count": 5397
} | 484 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/models/dpt/test_image_processing_dpt.py/0 | {
"file_path": "transformers/tests/models/dpt/test_image_processing_dpt.py",
"repo_id": "transformers",
"token_count": 4995
} | 485 |
# coding=utf-8
# Copyright 2021-2023 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 ... | transformers/tests/models/encodec/test_feature_extraction_encodec.py/0 | {
"file_path": "transformers/tests/models/encodec/test_feature_extraction_encodec.py",
"repo_id": "transformers",
"token_count": 4925
} | 486 |
# 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... | transformers/tests/models/falcon_mamba/test_modeling_falcon_mamba.py/0 | {
"file_path": "transformers/tests/models/falcon_mamba/test_modeling_falcon_mamba.py",
"repo_id": "transformers",
"token_count": 10114
} | 487 |
# coding=utf-8
# Copyright 2022 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
#
# Unless r... | transformers/tests/models/focalnet/test_modeling_focalnet.py/0 | {
"file_path": "transformers/tests/models/focalnet/test_modeling_focalnet.py",
"repo_id": "transformers",
"token_count": 7418
} | 488 |
# coding=utf-8
# Copyright 2020 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... | transformers/tests/models/gpt2/test_modeling_gpt2.py/0 | {
"file_path": "transformers/tests/models/gpt2/test_modeling_gpt2.py",
"repo_id": "transformers",
"token_count": 17516
} | 489 |
# coding=utf-8
# Copyright 2022 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
#
# Unless r... | transformers/tests/models/groupvit/test_modeling_tf_groupvit.py/0 | {
"file_path": "transformers/tests/models/groupvit/test_modeling_tf_groupvit.py",
"repo_id": "transformers",
"token_count": 12286
} | 490 |
# Copyright 2022 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... | transformers/tests/models/idefics/test_processor_idefics.py/0 | {
"file_path": "transformers/tests/models/idefics/test_processor_idefics.py",
"repo_id": "transformers",
"token_count": 5984
} | 491 |
# coding=utf-8
# Copyright 2018 The Microsoft Research Asia LayoutLM Team Authors, The Hugging Face 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/license... | transformers/tests/models/layoutlm/test_modeling_tf_layoutlm.py/0 | {
"file_path": "transformers/tests/models/layoutlm/test_modeling_tf_layoutlm.py",
"repo_id": "transformers",
"token_count": 7392
} | 492 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/tests/models/llava/test_modeling_llava.py/0 | {
"file_path": "transformers/tests/models/llava/test_modeling_llava.py",
"repo_id": "transformers",
"token_count": 12923
} | 493 |
# coding=utf-8
# Copyright 2020 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... | transformers/tests/models/longformer/test_modeling_tf_longformer.py/0 | {
"file_path": "transformers/tests/models/longformer/test_modeling_tf_longformer.py",
"repo_id": "transformers",
"token_count": 15236
} | 494 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/tests/models/mgp_str/test_modeling_mgp_str.py/0 | {
"file_path": "transformers/tests/models/mgp_str/test_modeling_mgp_str.py",
"repo_id": "transformers",
"token_count": 4261
} | 495 |
# coding=utf-8
# Copyright 2021 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... | transformers/tests/models/mluke/test_tokenization_mluke.py/0 | {
"file_path": "transformers/tests/models/mluke/test_tokenization_mluke.py",
"repo_id": "transformers",
"token_count": 14692
} | 496 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py/0 | {
"file_path": "transformers/tests/models/mobilevitv2/test_modeling_mobilevitv2.py",
"repo_id": "transformers",
"token_count": 6214
} | 497 |
# coding=utf-8
# 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
#
# Unless r... | transformers/tests/models/olmoe/test_modeling_olmoe.py/0 | {
"file_path": "transformers/tests/models/olmoe/test_modeling_olmoe.py",
"repo_id": "transformers",
"token_count": 7937
} | 498 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/tests/models/patchtst/test_modeling_patchtst.py/0 | {
"file_path": "transformers/tests/models/patchtst/test_modeling_patchtst.py",
"repo_id": "transformers",
"token_count": 6867
} | 499 |
# coding=utf-8
# Copyright 2024 Microsoft 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
#
# http://www.apache.org/licenses/LICENSE-2.... | transformers/tests/models/phi3/test_modeling_phi3.py/0 | {
"file_path": "transformers/tests/models/phi3/test_modeling_phi3.py",
"repo_id": "transformers",
"token_count": 15574
} | 500 |
# coding=utf-8
# Copyright 2020, The RAG Authors and 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 r... | transformers/tests/models/rag/test_modeling_rag.py/0 | {
"file_path": "transformers/tests/models/rag/test_modeling_rag.py",
"repo_id": "transformers",
"token_count": 21839
} | 501 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/models/rembert/test_tokenization_rembert.py/0 | {
"file_path": "transformers/tests/models/rembert/test_tokenization_rembert.py",
"repo_id": "transformers",
"token_count": 6956
} | 502 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/models/roc_bert/test_tokenization_roc_bert.py/0 | {
"file_path": "transformers/tests/models/roc_bert/test_tokenization_roc_bert.py",
"repo_id": "transformers",
"token_count": 7488
} | 503 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/tests/models/sam/test_modeling_tf_sam.py/0 | {
"file_path": "transformers/tests/models/sam/test_modeling_tf_sam.py",
"repo_id": "transformers",
"token_count": 11596
} | 504 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/models/speech_encoder_decoder/test_modeling_flax_speech_encoder_decoder.py/0 | {
"file_path": "transformers/tests/models/speech_encoder_decoder/test_modeling_flax_speech_encoder_decoder.py",
"repo_id": "transformers",
"token_count": 11729
} | 505 |
# coding=utf-8
# Copyright 2022 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
#
# Unless r... | transformers/tests/models/table_transformer/test_modeling_table_transformer.py/0 | {
"file_path": "transformers/tests/models/table_transformer/test_modeling_table_transformer.py",
"repo_id": "transformers",
"token_count": 11591
} | 506 |
# coding=utf-8
# 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
#
# Unless r... | transformers/tests/models/timm_wrapper/test_modeling_timm_wrapper.py/0 | {
"file_path": "transformers/tests/models/timm_wrapper/test_modeling_timm_wrapper.py",
"repo_id": "transformers",
"token_count": 7069
} | 507 |
# coding=utf-8
# Copyright 2023 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
#
# Unless r... | transformers/tests/models/vipllava/test_modeling_vipllava.py/0 | {
"file_path": "transformers/tests/models/vipllava/test_modeling_vipllava.py",
"repo_id": "transformers",
"token_count": 5832
} | 508 |
# coding=utf-8
# Copyright 2021 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
#
# Unless r... | transformers/tests/models/vit/test_modeling_tf_vit.py/0 | {
"file_path": "transformers/tests/models/vit/test_modeling_tf_vit.py",
"repo_id": "transformers",
"token_count": 3984
} | 509 |
# coding=utf-8
# 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
#
# Unless r... | transformers/tests/models/vitpose_backbone/test_modeling_vitpose_backbone.py/0 | {
"file_path": "transformers/tests/models/vitpose_backbone/test_modeling_vitpose_backbone.py",
"repo_id": "transformers",
"token_count": 3142
} | 510 |
# 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... | transformers/tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py/0 | {
"file_path": "transformers/tests/models/wav2vec2_bert/test_processor_wav2vec2_bert.py",
"repo_id": "transformers",
"token_count": 3048
} | 511 |
# Copyright 2021 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... | transformers/tests/pipelines/test_pipelines_image_classification.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_image_classification.py",
"repo_id": "transformers",
"token_count": 5745
} | 512 |
# Copyright 2020 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... | transformers/tests/pipelines/test_pipelines_translation.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_translation.py",
"repo_id": "transformers",
"token_count": 3494
} | 513 |
# coding=utf-8
# Copyright 2022 The HuggingFace Team 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 clone of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | transformers/tests/quantization/bnb/test_mixed_int8.py/0 | {
"file_path": "transformers/tests/quantization/bnb/test_mixed_int8.py",
"repo_id": "transformers",
"token_count": 17432
} | 514 |
# 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... | transformers/tests/quantization/higgs/test_higgs.py/0 | {
"file_path": "transformers/tests/quantization/higgs/test_higgs.py",
"repo_id": "transformers",
"token_count": 3095
} | 515 |
# Testing new Hugging Face Deep Learning Container.
This document explains the testing strategy for releasing the new Hugging Face Deep Learning Container. AWS maintains 14 days of currency with framework releases. Besides framework releases, AWS release train is bi-weekly on Monday. Code cutoff date for any changes i... | transformers/tests/sagemaker/README.md/0 | {
"file_path": "transformers/tests/sagemaker/README.md",
"repo_id": "transformers",
"token_count": 3293
} | 516 |
# coding=utf-8
# Copyright 2022 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... | transformers/tests/test_image_transforms.py/0 | {
"file_path": "transformers/tests/test_image_transforms.py",
"repo_id": "transformers",
"token_count": 12466
} | 517 |
# Copyright 2020 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... | transformers/tests/trainer/test_trainer_callback.py/0 | {
"file_path": "transformers/tests/trainer/test_trainer_callback.py",
"repo_id": "transformers",
"token_count": 7812
} | 518 |
# 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... | transformers/tests/utils/test_backbone_utils.py/0 | {
"file_path": "transformers/tests/utils/test_backbone_utils.py",
"repo_id": "transformers",
"token_count": 5009
} | 519 |
import os
import unittest
from pathlib import Path
from transformers.utils.import_utils import define_import_structure, spread_import_structure
import_structures = Path("import_structures")
def fetch__all__(file_content):
"""
Returns the content of the __all__ variable in the file content.
Returns None... | transformers/tests/utils/test_import_structure.py/0 | {
"file_path": "transformers/tests/utils/test_import_structure.py",
"repo_id": "transformers",
"token_count": 2227
} | 520 |
# coding=utf-8
# Copyright 2023 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... | transformers/utils/add_pipeline_model_mapping_to_test.py/0 | {
"file_path": "transformers/utils/add_pipeline_model_mapping_to_test.py",
"repo_id": "transformers",
"token_count": 5411
} | 521 |
# coding=utf-8
# Copyright 2020 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... | transformers/utils/check_table.py/0 | {
"file_path": "transformers/utils/check_table.py",
"repo_id": "transformers",
"token_count": 4446
} | 522 |
# 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... | transformers/utils/split_model_tests.py/0 | {
"file_path": "transformers/utils/split_model_tests.py",
"repo_id": "transformers",
"token_count": 759
} | 523 |
#!/bin/bash
# This script runs an SFT example end-to-end on a tiny model using different possible configurations
# but defaults to QLoRA + PEFT
OUTPUT_DIR="test_dpo/"
MODEL_NAME="trl-internal-testing/tiny-Qwen2ForCausalLM-2.5"
DATASET_NAME="trl-internal-testing/hh-rlhf-helpful-base-trl-style"
MAX_STEPS=5
BATCH_SIZE=2
S... | trl/commands/run_dpo.sh/0 | {
"file_path": "trl/commands/run_dpo.sh",
"repo_id": "trl",
"token_count": 646
} | 524 |
# Multi Adapter RL (MARL) - a single base model for everything
Here we present an approach that uses a single base model for the entire PPO algorithm - which includes retrieving the reference logits, computing the active logits and the rewards. This feature is experimental as we did not test the convergence of the app... | trl/docs/source/multi_adapter_rl.md/0 | {
"file_path": "trl/docs/source/multi_adapter_rl.md",
"repo_id": "trl",
"token_count": 1227
} | 525 |
# 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... | trl/examples/datasets/prm800k.py/0 | {
"file_path": "trl/examples/datasets/prm800k.py",
"repo_id": "trl",
"token_count": 2254
} | 526 |
# DPO pipeline for the creation of StackLlaMa 2: a Stack exchange llama-v2-7b model
## Prerequisites
Install all the dependencies in the `requirements.txt`:
```
$ pip install -U -r requirements.txt
```
Since we will use `accelerate` for training, make sure to run:
```
$ accelerate config
```
## Training
There wer... | trl/examples/research_projects/stack_llama_2/scripts/README.md/0 | {
"file_path": "trl/examples/research_projects/stack_llama_2/scripts/README.md",
"repo_id": "trl",
"token_count": 896
} | 527 |
# 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... | trl/examples/scripts/dpo_vlm.py/0 | {
"file_path": "trl/examples/scripts/dpo_vlm.py",
"repo_id": "trl",
"token_count": 1983
} | 528 |
# 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... | trl/examples/scripts/xpo.py/0 | {
"file_path": "trl/examples/scripts/xpo.py",
"repo_id": "trl",
"token_count": 1865
} | 529 |
# 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... | trl/tests/test_bco_trainer.py/0 | {
"file_path": "trl/tests/test_bco_trainer.py",
"repo_id": "trl",
"token_count": 8319
} | 530 |
# 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... | trl/tests/test_iterative_sft_trainer.py/0 | {
"file_path": "trl/tests/test_iterative_sft_trainer.py",
"repo_id": "trl",
"token_count": 2179
} | 531 |
# 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... | trl/tests/test_utils.py/0 | {
"file_path": "trl/tests/test_utils.py",
"repo_id": "trl",
"token_count": 8744
} | 532 |
# 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... | trl/trl/models/__init__.py/0 | {
"file_path": "trl/trl/models/__init__.py",
"repo_id": "trl",
"token_count": 803
} | 533 |
# 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... | trl/trl/trainer/__init__.py/0 | {
"file_path": "trl/trl/trainer/__init__.py",
"repo_id": "trl",
"token_count": 2227
} | 534 |
# 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... | trl/trl/trainer/iterative_sft_trainer.py/0 | {
"file_path": "trl/trl/trainer/iterative_sft_trainer.py",
"repo_id": "trl",
"token_count": 8437
} | 535 |
# 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... | trl/trl/trainer/reward_trainer.py/0 | {
"file_path": "trl/trl/trainer/reward_trainer.py",
"repo_id": "trl",
"token_count": 8289
} | 536 |
<!--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... | accelerate/docs/source/concept_guides/low_precision_training.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/low_precision_training.md",
"repo_id": "accelerate",
"token_count": 1477
} | 0 |
<!--Copyright 2022 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... | accelerate/docs/source/usage_guides/ipex.md/0 | {
"file_path": "accelerate/docs/source/usage_guides/ipex.md",
"repo_id": "accelerate",
"token_count": 2634
} | 1 |
# Similar to FSDP, we set the distributed type as DEEPSPEED
distributed_type: DEEPSPEED
# With DeepSpeed, we utilize a deepspeed config file for the entire configuration
deepspeed_config:
# Can also be any of the config json's in accelerate/examples/deepspeed_config_templates
deepspeed_config_file: ../deepspeed_con... | accelerate/examples/config_yaml_templates/deepspeed.yaml/0 | {
"file_path": "accelerate/examples/config_yaml_templates/deepspeed.yaml",
"repo_id": "accelerate",
"token_count": 239
} | 2 |
# 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
#
# Unless required by appl... | accelerate/examples/inference/distributed/florence2.py/0 | {
"file_path": "accelerate/examples/inference/distributed/florence2.py",
"repo_id": "accelerate",
"token_count": 3297
} | 3 |
#!/bin/bash
#SBATCH --job-name=multinode
#SBATCH -D .
#SBATCH --output=O-%x.%j
#SBATCH --error=E-%x.%j
#SBATCH --nodes=4 # number of nodes
#SBATCH --ntasks-per-node=1 # number of MP tasks
#SBATCH --gres=gpu:4 # number of GPUs per node
#SBATCH --cpus-per-task=160 # numbe... | accelerate/examples/slurm/submit_multinode_fsdp.sh/0 | {
"file_path": "accelerate/examples/slurm/submit_multinode_fsdp.sh",
"repo_id": "accelerate",
"token_count": 576
} | 4 |
# Copyright 2020 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... | accelerate/src/accelerate/__init__.py/0 | {
"file_path": "accelerate/src/accelerate/__init__.py",
"repo_id": "accelerate",
"token_count": 500
} | 5 |
#!/usr/bin/env python
# Copyright 2021 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
#
# Unles... | accelerate/src/accelerate/commands/launch.py/0 | {
"file_path": "accelerate/src/accelerate/commands/launch.py",
"repo_id": "accelerate",
"token_count": 20430
} | 6 |
# Copyright 2022 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... | accelerate/src/accelerate/logging.py/0 | {
"file_path": "accelerate/src/accelerate/logging.py",
"repo_id": "accelerate",
"token_count": 1842
} | 7 |
# Copyright 2021 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... | accelerate/src/accelerate/utils/deepspeed.py/0 | {
"file_path": "accelerate/src/accelerate/utils/deepspeed.py",
"repo_id": "accelerate",
"token_count": 5670
} | 8 |
# Copyright 2022 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... | accelerate/src/accelerate/utils/versions.py/0 | {
"file_path": "accelerate/src/accelerate/utils/versions.py",
"repo_id": "accelerate",
"token_count": 701
} | 9 |
compute_environment: LOCAL_MACHINE
debug: false
distributed_type: MULTI_GPU
downcast_bf16: 'no'
enable_cpu_affinity: false
fp8_config:
amax_compute_algo: max
amax_history_len: 1024
backend: TE
fp8_format: E4M3
interval: 1
margin: 0
override_linear_precision: (false, false, false)
use_autocast_during_eva... | accelerate/tests/test_configs/0_34_0_fp8.yaml/0 | {
"file_path": "accelerate/tests/test_configs/0_34_0_fp8.yaml",
"repo_id": "accelerate",
"token_count": 222
} | 10 |
# Copyright 2021 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... | accelerate/tests/test_multigpu.py/0 | {
"file_path": "accelerate/tests/test_multigpu.py",
"repo_id": "accelerate",
"token_count": 2501
} | 11 |
# Copyright 2022 The HuggingFace Team, the AllenNLP library authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | accelerate/utils/stale.py/0 | {
"file_path": "accelerate/utils/stale.py",
"repo_id": "accelerate",
"token_count": 1013
} | 12 |
# Live 1: How the Course Works and First Q&A
In this first live stream of the Agents Course, we explained how the course **works** (scope, units, challenges, and more) and answered your questions.
<iframe width="560" height="315" src="https://www.youtube.com/embed/iLVyYDbdSmM?si=TCX5Ai3uZuKLXq45" title="YouTube video... | agents-course/units/en/communication/live1.mdx/0 | {
"file_path": "agents-course/units/en/communication/live1.mdx",
"repo_id": "agents-course",
"token_count": 211
} | 13 |
# Thought: Internal Reasoning and the Re-Act Approach
<Tip>
In this section, we dive into the inner workings of an AI agent—its ability to reason and plan. We’ll explore how the agent leverages its internal dialogue to analyze information, break down complex problems into manageable steps, and decide what action to t... | agents-course/units/en/unit1/thoughts.mdx/0 | {
"file_path": "agents-course/units/en/unit1/thoughts.mdx",
"repo_id": "agents-course",
"token_count": 911
} | 14 |
[workspace]
members = [
"candle-core",
"candle-datasets",
"candle-examples",
"candle-book",
"candle-nn",
"candle-pyo3",
"candle-transformers",
"candle-wasm-examples/*",
"candle-wasm-tests",
"tensor-tools",
]
exclude = [
"candle-flash-attn",
"candle-kernels",
"candle-meta... | candle/Cargo.toml/0 | {
"file_path": "candle/Cargo.toml",
"repo_id": "candle",
"token_count": 1246
} | 15 |
# Advanced Cuda usage
| candle/candle-book/src/cuda/README.md/0 | {
"file_path": "candle/candle-book/src/cuda/README.md",
"repo_id": "candle",
"token_count": 6
} | 16 |
# Serialization
| candle/candle-book/src/training/serialization.md/0 | {
"file_path": "candle/candle-book/src/training/serialization.md",
"repo_id": "candle",
"token_count": 4
} | 17 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Result;
use candle_core::{Device, Tensor};
fn main() -> Result<()> {
let a = Tensor::new(&[[0.0f32, 1.0, 2.0], [3.0, 4.0, 5.0]], &Device::Cpu)?;
let b = Tensor::new(&[[88.0f32, 99.0]], ... | candle/candle-core/examples/basics.rs/0 | {
"file_path": "candle/candle-core/examples/basics.rs",
"repo_id": "candle",
"token_count": 287
} | 18 |
/// Helper functions to write CPU kernels.
use crate::backend::BackendStorage;
use crate::{Error, Layout, Result, WithDType};
type C = super::CpuStorage;
pub trait Map1 {
fn f<T: WithDType>(&self, vs: &[T], layout: &Layout) -> Result<Vec<T>>;
fn map(&self, vs: &C, layout: &Layout) -> Result<C> {
match... | candle/candle-core/src/cpu_backend/utils.rs/0 | {
"file_path": "candle/candle-core/src/cpu_backend/utils.rs",
"repo_id": "candle",
"token_count": 9033
} | 19 |
use crate::{DType, Result};
use candle_metal_kernels::Kernels;
use metal::{Buffer, CommandBuffer, CommandQueue, MTLResourceOptions, NSUInteger};
use std::collections::HashMap;
use std::path::Path;
use std::sync::{Arc, Mutex, RwLock};
use super::MetalError;
/// Unique identifier for cuda devices.
#[derive(Clone, Copy,... | candle/candle-core/src/metal_backend/device.rs/0 | {
"file_path": "candle/candle-core/src/metal_backend/device.rs",
"repo_id": "candle",
"token_count": 5226
} | 20 |
use super::k_quants::{BlockQ2K, BlockQ4K, BlockQ4_0, BlockQ6K, BlockQ8K, BlockQ8_0, QK8_0, QK_K};
use crate::Result;
use byteorder::{ByteOrder, LittleEndian};
use half::f16;
use core::arch::wasm32::*;
#[inline(always)]
pub(crate) fn vec_dot_q4_0_q8_0(n: usize, xs: &[BlockQ4_0], ys: &[BlockQ8_0]) -> Result<f32> {
... | candle/candle-core/src/quantized/simd128.rs/0 | {
"file_path": "candle/candle-core/src/quantized/simd128.rs",
"repo_id": "candle",
"token_count": 11617
} | 21 |
use anyhow::Result;
use candle_core::{DType, Device::Cpu, Tensor};
#[test]
fn display_scalar() -> Result<()> {
let t = Tensor::new(1234u32, &Cpu)?;
let s = format!("{t}");
assert_eq!(&s, "[1234]\nTensor[[], u32]");
let t = t.to_dtype(DType::F32)?.neg()?;
let s = format!("{}", (&t / 10.0)?);
ass... | candle/candle-core/tests/display_tests.rs/0 | {
"file_path": "candle/candle-core/tests/display_tests.rs",
"repo_id": "candle",
"token_count": 1395
} | 22 |
# candle-beit
[Beit](https://arxiv.org/abs/2106.08254) is a computer vision model.
In this example, it is used as an ImageNet classifier: the model returns the
probability for the image to belong to each of the 1000 ImageNet categories.
## Running some example
```bash
cargo run --example beit --release -- --image ca... | candle/candle-examples/examples/beit/README.md/0 | {
"file_path": "candle/candle-examples/examples/beit/README.md",
"repo_id": "candle",
"token_count": 261
} | 23 |
# candle-dinov2-reg4
[DINOv2-reg4](https://arxiv.org/abs/2309.16588) is the lastest version of DINOv2 with registers.
In this example, it is used as an plant species classifier: the model returns the
probability for the image to belong to each of the 7806 PlantCLEF2024 categories.
## Running some example
```bash
# D... | candle/candle-examples/examples/dinov2reg4/README.md/0 | {
"file_path": "candle/candle-examples/examples/dinov2reg4/README.md",
"repo_id": "candle",
"token_count": 466
} | 24 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use candle::{DType, IndexOp, D};
use candle_nn::{Module, VarBuilder};
use candle_transformers::models::fastvit;
#[derive(Clone, Copy, Debug, ValueEnum)]
enum Which {
T8,... | candle/candle-examples/examples/fastvit/main.rs/0 | {
"file_path": "candle/candle-examples/examples/fastvit/main.rs",
"repo_id": "candle",
"token_count": 1332
} | 25 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use clap::{Parser, ValueEnum};
use candle::{DType, IndexOp, D};
use candle_nn::{Module, VarBuilder};
use candle_transformers::models::hiera;
#[derive(Clone, Copy, Debug, ValueEnum)]
enum Which {
Tiny,... | candle/candle-examples/examples/hiera/main.rs/0 | {
"file_path": "candle/candle-examples/examples/hiera/main.rs",
"repo_id": "candle",
"token_count": 1257
} | 26 |
# candle-mamba: Mamba implementation
Candle implementation of *Mamba* [1] inference only. Mamba is an alternative to
the transformer architecture. It leverages State Space Models (SSMs) with the
goal of being computationally efficient on long sequences. The implementation is
based on [mamba.rs](https://github.com/Laur... | candle/candle-examples/examples/mamba/README.md/0 | {
"file_path": "candle/candle-examples/examples/mamba/README.md",
"repo_id": "candle",
"token_count": 190
} | 27 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::Error as E;
use clap::{Parser, ValueEnum};
use candle::{DType, Device, Tensor};
use candle_nn::{ops::softmax, VarBuilder};
use candle_transformers::models::mobileclip;
use tokenizers::Tokenize... | candle/candle-examples/examples/mobileclip/main.rs/0 | {
"file_path": "candle/candle-examples/examples/mobileclip/main.rs",
"repo_id": "candle",
"token_count": 2305
} | 28 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::{IndexOp, D};
use clap::{Parser, ValueEnum};
#[derive(Clone, Copy, Debug, ValueEnum)]
enum Which {
SqueezeNet,
EfficientNet,
}
#[derive(Parser)]
struct Args {
#[arg(long)]
imag... | candle/candle-examples/examples/onnx/main.rs/0 | {
"file_path": "candle/candle-examples/examples/onnx/main.rs",
"repo_id": "candle",
"token_count": 1042
} | 29 |
# candle-quantized-llama: Fast Inference of quantized LLaMA models
This example provides a quantized LLaMA model similar to
[llama.cpp](https://github.com/ggerganov/llama.cpp). This is based on candle
built-in quantization methods. Supported features include:
- 2-bit, 3-bit, 4-bit, 5-bit, 6-bit and 8-bit integer quan... | candle/candle-examples/examples/quantized/README.md/0 | {
"file_path": "candle/candle-examples/examples/quantized/README.md",
"repo_id": "candle",
"token_count": 820
} | 30 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use anyhow::{Error as E, Result};
use clap::Parser;
use candle_transformers::models::mpt::{Config, Model as M};
use candle_transformers::models::quantized_mpt::Model as Q;
use candle::{DType, Device, Tens... | candle/candle-examples/examples/replit-code/main.rs/0 | {
"file_path": "candle/candle-examples/examples/replit-code/main.rs",
"repo_id": "candle",
"token_count": 3752
} | 31 |
## SigLIP
SigLIP is multi-modal text-vision model that improves over CLIP by using a sigmoid based loss,
[HuggingFace](https://huggingface.co/google/siglip-base-patch16-224).
### Running an example
```
$ cargo run --features cuda -r --example siglip -
softmax_image_vec: [2.1912122e-14, 2.3624872e-14, 1.0, 1.0, 2.4787... | candle/candle-examples/examples/siglip/README.md/0 | {
"file_path": "candle/candle-examples/examples/siglip/README.md",
"repo_id": "candle",
"token_count": 298
} | 32 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle_transformers::object_detection::{non_maximum_suppression, Bbox};
mod darknet;
use anyhow::Result;
use candle::{DType, Device, Tensor};
use candle_nn::{Module, VarBuilder};
use clap::Parser;
use ... | candle/candle-examples/examples/yolo-v3/main.rs/0 | {
"file_path": "candle/candle-examples/examples/yolo-v3/main.rs",
"repo_id": "candle",
"token_count": 3179
} | 33 |
use std::io::prelude::*;
pub trait Sample {
fn to_i16(&self) -> i16;
}
impl Sample for f32 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for f64 {
fn to_i16(&self) -> i16 {
(self.clamp(-1.0, 1.0) * 32767.0) as i16
}
}
impl Sample for i16 {
... | candle/candle-examples/src/wav.rs/0 | {
"file_path": "candle/candle-examples/src/wav.rs",
"repo_id": "candle",
"token_count": 729
} | 34 |
#ifndef _GPU_OPS_KERNELS_H_
#define _GPU_OPS_KERNELS_H_
#include <cuda_runtime_api.h>
#include <cstddef>
#include <cstdint>
#include<stdlib.h>
#include<stdint.h>
namespace gpu_ops {
struct MHAParams {
uint32_t q_batch_stride;
uint32_t k_batch_stride;
uint32_t v_batch_stride;
uint32_t o_batch_stride;
uin... | candle/candle-flash-attn/kernels/kernels.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/kernels.h",
"repo_id": "candle",
"token_count": 557
} | 35 |
#include "cuda_utils.cuh"
#include<stdint.h>
template <typename S, typename T>
__device__ void cast_(
const size_t numel,
const size_t num_dims,
const size_t *info,
const S *inp,
T *out
) {
const size_t *dims = info;
const size_t *strides = info + num_dims;
if (info == nullptr || is_con... | candle/candle-kernels/src/cast.cu/0 | {
"file_path": "candle/candle-kernels/src/cast.cu",
"repo_id": "candle",
"token_count": 2430
} | 36 |
#include <metal_stdlib>
#define MAX(x, y) ((x) > (y) ? (x) : (y))
#define MIN(x, y) ((x) < (y) ? (x) : (y))
METAL_FUNC uint get_strided_index(
uint idx,
constant size_t &num_dims,
constant size_t *dims,
constant size_t *strides
) {
uint strided_i = 0;
for (uint d = 0; d < num_dims; d++) {
... | candle/candle-metal-kernels/src/binary.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/binary.metal",
"repo_id": "candle",
"token_count": 1861
} | 37 |
use super::*;
use half::{bf16, f16};
use metal::{Buffer, Device, MTLResourceOptions};
use rand::prelude::SliceRandom;
use rand::thread_rng;
use rand::Rng;
fn read_to_vec<T: Clone>(buffer: &Buffer, n: usize) -> Vec<T> {
let ptr = buffer.contents() as *const T;
assert!(!ptr.is_null());
let slice = unsafe { s... | candle/candle-metal-kernels/src/tests.rs/0 | {
"file_path": "candle/candle-metal-kernels/src/tests.rs",
"repo_id": "candle",
"token_count": 35299
} | 38 |
/// This example contains some simple benchmarks so that it's easy to run them in perf etc.
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::quantized::GgmlType;
use candle::{CpuStorage, Device, Layout, Module, Result, Shape, Tensor, D};
use c... | candle/candle-nn/examples/cpu_benchmarks.rs/0 | {
"file_path": "candle/candle-nn/examples/cpu_benchmarks.rs",
"repo_id": "candle",
"token_count": 5543
} | 39 |
//! Recurrent Neural Networks
use candle::{DType, Device, IndexOp, Result, Tensor};
/// Trait for Recurrent Neural Networks.
#[allow(clippy::upper_case_acronyms)]
pub trait RNN {
type State: Clone;
/// A zero state from which the recurrent network is usually initialized.
fn zero_state(&self, batch_dim: us... | candle/candle-nn/src/rnn.rs/0 | {
"file_path": "candle/candle-nn/src/rnn.rs",
"repo_id": "candle",
"token_count": 5697
} | 40 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.