text stringlengths 7 1.24M | id stringlengths 14 166 | metadata dict | __index_level_0__ int64 0 519 |
|---|---|---|---|
{
"model_type": "roberta"
} | transformers/tests/fixtures/dummy-config.json/0 | {
"file_path": "transformers/tests/fixtures/dummy-config.json",
"repo_id": "transformers",
"token_count": 15
} | 466 |
"""
Framework agnostic tests for generate()-related methods.
"""
import numpy as np
from transformers import AutoTokenizer
from transformers.testing_utils import slow, torch_device
class GenerationIntegrationTestsMixin:
# To be populated by the child classes
framework_dependent_parameters = {
"AutoM... | transformers/tests/generation/test_framework_agnostic.py/0 | {
"file_path": "transformers/tests/generation/test_framework_agnostic.py",
"repo_id": "transformers",
"token_count": 14177
} | 467 |
# 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/autoformer/test_modeling_autoformer.py/0 | {
"file_path": "transformers/tests/models/autoformer/test_modeling_autoformer.py",
"repo_id": "transformers",
"token_count": 8882
} | 468 |
# 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/models/beit/test_modeling_flax_beit.py/0 | {
"file_path": "transformers/tests/models/beit/test_modeling_flax_beit.py",
"repo_id": "transformers",
"token_count": 4819
} | 469 |
# 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/models/big_bird/test_modeling_flax_big_bird.py/0 | {
"file_path": "transformers/tests/models/big_bird/test_modeling_flax_big_bird.py",
"repo_id": "transformers",
"token_count": 3793
} | 470 |
# 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/models/blenderbot_small/test_modeling_flax_blenderbot_small.py/0 | {
"file_path": "transformers/tests/models/blenderbot_small/test_modeling_flax_blenderbot_small.py",
"repo_id": "transformers",
"token_count": 7912
} | 471 |
# 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/bloom/test_tokenization_bloom.py/0 | {
"file_path": "transformers/tests/models/bloom/test_tokenization_bloom.py",
"repo_id": "transformers",
"token_count": 3278
} | 472 |
# 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... | transformers/tests/models/chameleon/test_image_processing_chameleon.py/0 | {
"file_path": "transformers/tests/models/chameleon/test_image_processing_chameleon.py",
"repo_id": "transformers",
"token_count": 3583
} | 473 |
# 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/clip/test_tokenization_clip.py/0 | {
"file_path": "transformers/tests/models/clip/test_tokenization_clip.py",
"repo_id": "transformers",
"token_count": 4026
} | 474 |
# 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/cohere/test_tokenization_cohere.py/0 | {
"file_path": "transformers/tests/models/cohere/test_tokenization_cohere.py",
"repo_id": "transformers",
"token_count": 6207
} | 475 |
# 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/data2vec/test_modeling_data2vec_vision.py/0 | {
"file_path": "transformers/tests/models/data2vec/test_modeling_data2vec_vision.py",
"repo_id": "transformers",
"token_count": 6449
} | 476 |
# 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/deformable_detr/test_modeling_deformable_detr.py/0 | {
"file_path": "transformers/tests/models/deformable_detr/test_modeling_deformable_detr.py",
"repo_id": "transformers",
"token_count": 15647
} | 477 |
# 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/dpt/test_modeling_dpt.py/0 | {
"file_path": "transformers/tests/models/dpt/test_modeling_dpt.py",
"repo_id": "transformers",
"token_count": 6571
} | 478 |
# 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/git/test_processor_git.py/0 | {
"file_path": "transformers/tests/models/git/test_processor_git.py",
"repo_id": "transformers",
"token_count": 2169
} | 479 |
# 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/gpt_neox/test_modeling_gpt_neox.py/0 | {
"file_path": "transformers/tests/models/gpt_neox/test_modeling_gpt_neox.py",
"repo_id": "transformers",
"token_count": 10604
} | 480 |
# 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": 3514
} | 481 |
# 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/mask2former/test_image_processing_mask2former.py/0 | {
"file_path": "transformers/tests/models/mask2former/test_image_processing_mask2former.py",
"repo_id": "transformers",
"token_count": 10398
} | 482 |
# 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/megatron_gpt2/test_modeling_megatron_gpt2.py/0 | {
"file_path": "transformers/tests/models/megatron_gpt2/test_modeling_megatron_gpt2.py",
"repo_id": "transformers",
"token_count": 1286
} | 483 |
# coding=utf-8
# Copyright 2022 Leon Derczynski. 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... | transformers/tests/models/mobilebert/test_tokenization_mobilebert.py/0 | {
"file_path": "transformers/tests/models/mobilebert/test_tokenization_mobilebert.py",
"repo_id": "transformers",
"token_count": 7679
} | 484 |
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team, Microsoft Corporation.
#
# Licensed under the Apache License, Version 2.0 (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... | transformers/tests/models/mpnet/test_tokenization_mpnet.py/0 | {
"file_path": "transformers/tests/models/mpnet/test_tokenization_mpnet.py",
"repo_id": "transformers",
"token_count": 1217
} | 485 |
# 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 ... | transformers/tests/models/plbart/test_modeling_plbart.py/0 | {
"file_path": "transformers/tests/models/plbart/test_modeling_plbart.py",
"repo_id": "transformers",
"token_count": 12121
} | 486 |
# 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/models/rag/test_retrieval_rag.py/0 | {
"file_path": "transformers/tests/models/rag/test_retrieval_rag.py",
"repo_id": "transformers",
"token_count": 6761
} | 487 |
# 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/resnet/test_modeling_flax_resnet.py/0 | {
"file_path": "transformers/tests/models/resnet/test_modeling_flax_resnet.py",
"repo_id": "transformers",
"token_count": 3543
} | 488 |
# 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/seamless_m4t/test_modeling_seamless_m4t.py/0 | {
"file_path": "transformers/tests/models/seamless_m4t/test_modeling_seamless_m4t.py",
"repo_id": "transformers",
"token_count": 22134
} | 489 |
# 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/speecht5/test_processor_speecht5.py/0 | {
"file_path": "transformers/tests/models/speecht5/test_processor_speecht5.py",
"repo_id": "transformers",
"token_count": 2860
} | 490 |
# 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/swiftformer/test_modeling_tf_swiftformer.py/0 | {
"file_path": "transformers/tests/models/swiftformer/test_modeling_tf_swiftformer.py",
"repo_id": "transformers",
"token_count": 4215
} | 491 |
# coding=utf-8
# Copyright 2023 The Intel Team Authors, 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/... | transformers/tests/models/tvp/test_modeling_tvp.py/0 | {
"file_path": "transformers/tests/models/tvp/test_modeling_tvp.py",
"repo_id": "transformers",
"token_count": 5909
} | 492 |
# 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/vit_msn/test_modeling_vit_msn.py/0 | {
"file_path": "transformers/tests/models/vit_msn/test_modeling_vit_msn.py",
"repo_id": "transformers",
"token_count": 3553
} | 493 |
# 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/wav2vec2/test_modeling_wav2vec2.py/0 | {
"file_path": "transformers/tests/models/wav2vec2/test_modeling_wav2vec2.py",
"repo_id": "transformers",
"token_count": 39421
} | 494 |
# 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/whisper/test_modeling_flax_whisper.py/0 | {
"file_path": "transformers/tests/models/whisper/test_modeling_flax_whisper.py",
"repo_id": "transformers",
"token_count": 18408
} | 495 |
# 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_fill_mask.py/0 | {
"file_path": "transformers/tests/pipelines/test_pipelines_fill_mask.py",
"repo_id": "transformers",
"token_count": 9758
} | 496 |
# 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": 3151
} | 497 |
# 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/eetq_integration/test_eetq.py/0 | {
"file_path": "transformers/tests/quantization/eetq_integration/test_eetq.py",
"repo_id": "transformers",
"token_count": 2613
} | 498 |
# 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/repo_utils/test_tests_fetcher.py/0 | {
"file_path": "transformers/tests/repo_utils/test_tests_fetcher.py",
"repo_id": "transformers",
"token_count": 17320
} | 499 |
# coding=utf-8
# Copyright 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 or ag... | transformers/tests/test_image_processing_common.py/0 | {
"file_path": "transformers/tests/test_image_processing_common.py",
"repo_id": "transformers",
"token_count": 10432
} | 500 |
# 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_distributed.py/0 | {
"file_path": "transformers/tests/trainer/test_trainer_distributed.py",
"repo_id": "transformers",
"token_count": 4117
} | 501 |
# coding=utf-8
# Copyright 2019-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 a... | transformers/tests/utils/test_doc_samples.py/0 | {
"file_path": "transformers/tests/utils/test_doc_samples.py",
"repo_id": "transformers",
"token_count": 1749
} | 502 |
# coding=utf-8
# Copyright 2019 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/utils/test_modeling_utils.py/0 | {
"file_path": "transformers/tests/utils/test_modeling_utils.py",
"repo_id": "transformers",
"token_count": 53785
} | 503 |
# 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/check_model_tester.py/0 | {
"file_path": "transformers/utils/check_model_tester.py",
"repo_id": "transformers",
"token_count": 1240
} | 504 |
# 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/get_test_info.py/0 | {
"file_path": "transformers/utils/get_test_info.py",
"repo_id": "transformers",
"token_count": 2737
} | 505 |
# 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
} | 506 |
export WANDB_ENTITY=huggingface
export WANDB_PROJECT=trl
bash $BENCHMARK_SCRIPT > output.txt
# Extract Job IDs into an array
job_ids=($(grep "Job ID:" output.txt | awk '{print $3}'))
# Extract WANDB_TAGS into an array
WANDB_TAGS=($(grep "WANDB_TAGS:" output.txt | awk '{print $2}'))
WANDB_TAGS=($(echo $WANDB_TAGS | tr... | trl/benchmark/benchmark_and_report.sh/0 | {
"file_path": "trl/benchmark/benchmark_and_report.sh",
"repo_id": "trl",
"token_count": 387
} | 507 |
- sections:
- local: index
title: TRL
- local: quickstart
title: Quickstart
- local: installation
title: Installation
- local: clis
title: Get started with Command Line Interfaces (CLIs)
- local: how_to_train
title: PPO Training FAQ
- local: use_model
title: Use Trained Models
- lo... | trl/docs/source/_toctree.yml/0 | {
"file_path": "trl/docs/source/_toctree.yml",
"repo_id": "trl",
"token_count": 692
} | 508 |
# Judges
TRL provides judges to easily compare two completions.
Make sure to have installed the required dependencies by running:
```bash
pip install trl[llm_judge]
```
## Using the provided judges
TRL provides several judges out of the box. For example, you can use the `HfPairwiseJudge` to compare two completions... | trl/docs/source/judges.mdx/0 | {
"file_path": "trl/docs/source/judges.mdx",
"repo_id": "trl",
"token_count": 695
} | 509 |
# Text Environments
Text environments provide a learning ground for language agents. It allows a language model to use tools to accomplish a task such as using a Python interpreter to answer math questions or using a search index for trivia questions. Having access to tools allows language models to solve tasks that w... | trl/docs/source/text_environments.md/0 | {
"file_path": "trl/docs/source/text_environments.md",
"repo_id": "trl",
"token_count": 2826
} | 510 |
# 0. imports
import torch
from transformers import GPT2Tokenizer
from trl import AutoModelForCausalLMWithValueHead, PPOConfig, PPOTrainer
# 1. load a pretrained model
model = AutoModelForCausalLMWithValueHead.from_pretrained("gpt2")
ref_model = AutoModelForCausalLMWithValueHead.from_pretrained("gpt2")
tokenizer = GP... | trl/examples/hello_world.py/0 | {
"file_path": "trl/examples/hello_world.py",
"repo_id": "trl",
"token_count": 501
} | 511 |
# 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 required by appl... | trl/examples/research_projects/tools/python_interpreter.py/0 | {
"file_path": "trl/examples/research_projects/tools/python_interpreter.py",
"repo_id": "trl",
"token_count": 2604
} | 512 |
# 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... | trl/examples/scripts/orpo.py/0 | {
"file_path": "trl/examples/scripts/orpo.py",
"repo_id": "trl",
"token_count": 1684
} | 513 |
""" trl is an open library for RL with transformer models.
Note:
VERSION needs to be formatted following the MAJOR.MINOR.PATCH convention
(we need to follow this convention to be able to retrieve versioned scripts)
Simple check list for release from AllenNLP repo: https://github.com/allenai/allennlp/blob/maste... | trl/setup.py/0 | {
"file_path": "trl/setup.py",
"repo_id": "trl",
"token_count": 1956
} | 514 |
import subprocess
def test_hello_world():
subprocess.run(
"python examples/hello_world.py",
shell=True,
check=True,
)
| trl/tests/test_e2e.py/0 | {
"file_path": "trl/tests/test_e2e.py",
"repo_id": "trl",
"token_count": 69
} | 515 |
import tempfile
import unittest
import datasets
from transformers import AutoModelForCausalLM, AutoModelForSequenceClassification, AutoTokenizer
from trl import (
BCOConfig,
BCOTrainer,
CPOConfig,
CPOTrainer,
DPOConfig,
DPOTrainer,
KTOConfig,
KTOTrainer,
OnlineDPOConfig,
Online... | trl/tests/test_trainers_args.py/0 | {
"file_path": "trl/tests/test_trainers_args.py",
"repo_id": "trl",
"token_count": 7924
} | 516 |
# flake8: noqa
# 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 requi... | trl/trl/models/__init__.py/0 | {
"file_path": "trl/trl/models/__init__.py",
"repo_id": "trl",
"token_count": 805
} | 517 |
import os
import sys
import warnings
from dataclasses import dataclass, field
from typing import Literal, Optional
from ..core import flatten_dict
from ..import_utils import is_bitsandbytes_available, is_torchvision_available
@dataclass
class DDPOConfig:
"""
Configuration class for DDPOTrainer
"""
#... | trl/trl/trainer/ddpo_config.py/0 | {
"file_path": "trl/trl/trainer/ddpo_config.py",
"repo_id": "trl",
"token_count": 1776
} | 518 |
import gc
import math
import os
import time
from collections import defaultdict
from functools import wraps
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
from accelerate import Accelerator
from accelerate.... | trl/trl/trainer/ppov2_trainer.py/0 | {
"file_path": "trl/trl/trainer/ppov2_trainer.py",
"repo_id": "trl",
"token_count": 16088
} | 519 |
.PHONY: quality style test docs utils
check_dirs := .
# Check that source code meets quality standards
extra_quality_checks:
python utils/check_copies.py
python utils/check_dummies.py
python utils/check_repo.py
doc-builder style src/accelerate docs/source --max_len 119
# this target runs checks on all files
qua... | accelerate/Makefile/0 | {
"file_path": "accelerate/Makefile",
"repo_id": "accelerate",
"token_count": 1111
} | 0 |
<!--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 applicable law or agreed... | accelerate/docs/source/concept_guides/internal_mechanism.md/0 | {
"file_path": "accelerate/docs/source/concept_guides/internal_mechanism.md",
"repo_id": "accelerate",
"token_count": 1194
} | 1 |
<!--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": 2636
} | 2 |
# This config template simply setups up the TransformersEngine config (and a config for a single GPU),
# this can interop with the other configs in this folder
distributed_type: "NO"
mixed_precision: "fp8"
# Then we specify the fp8 configuration:
fp8_config:
backend: TE # Can be TE | MS-AMP
# The following are TE s... | accelerate/examples/config_yaml_templates/fp8.yaml/0 | {
"file_path": "accelerate/examples/config_yaml_templates/fp8.yaml",
"repo_id": "accelerate",
"token_count": 239
} | 3 |
# 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/pippy/bert.py/0 | {
"file_path": "accelerate/examples/inference/pippy/bert.py",
"repo_id": "accelerate",
"token_count": 871
} | 4 |
# 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/manim_animations/big_model_inference/stage_4.py/0 | {
"file_path": "accelerate/manim_animations/big_model_inference/stage_4.py",
"repo_id": "accelerate",
"token_count": 2919
} | 5 |
# Copyright 2022 The HuggingFace Team and Brian Chao. 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... | accelerate/src/accelerate/commands/menu/input.py/0 | {
"file_path": "accelerate/src/accelerate/commands/menu/input.py",
"repo_id": "accelerate",
"token_count": 947
} | 6 |
# 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/state.py/0 | {
"file_path": "accelerate/src/accelerate/state.py",
"repo_id": "accelerate",
"token_count": 22587
} | 7 |
#!/usr/bin/env python
# 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
#
# Unles... | accelerate/src/accelerate/test_utils/scripts/test_ops.py/0 | {
"file_path": "accelerate/src/accelerate/test_utils/scripts/test_ops.py",
"repo_id": "accelerate",
"token_count": 2359
} | 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/memory.py/0 | {
"file_path": "accelerate/src/accelerate/utils/memory.py",
"repo_id": "accelerate",
"token_count": 2041
} | 9 |
# 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/tests/test_big_modeling.py/0 | {
"file_path": "accelerate/tests/test_big_modeling.py",
"repo_id": "accelerate",
"token_count": 18688
} | 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_kwargs_handlers.py/0 | {
"file_path": "accelerate/tests/test_kwargs_handlers.py",
"repo_id": "accelerate",
"token_count": 3281
} | 11 |
# 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/tests/test_tracking.py/0 | {
"file_path": "accelerate/tests/test_tracking.py",
"repo_id": "accelerate",
"token_count": 10128
} | 12 |
# Constitutional AI
This repo includes the recipe for training the following models:
* https://huggingface.co/HuggingFaceH4/mistral-7b-anthropic
* https://huggingface.co/HuggingFaceH4/mistral-7b-grok
## Full training examples
You will require 8 GPUs (80GB of VRAM) to train the full model.
```shell
# Step 1 - SFT
... | alignment-handbook/recipes/constitutional-ai/README.md/0 | {
"file_path": "alignment-handbook/recipes/constitutional-ai/README.md",
"repo_id": "alignment-handbook",
"token_count": 327
} | 13 |
# Model arguments
model_name_or_path: HuggingFaceH4/starchat2-15b-sft-v0.1
torch_dtype: bfloat16
# Data training arguments
# For definitions, see: src/h4/training/config.py
dataset_mixer:
HuggingFaceH4/ultrafeedback_binarized: 1.0
HuggingFaceH4/orca_dpo_pairs: 1.0
dataset_splits:
- train_prefs
- test_prefs
preproc... | alignment-handbook/recipes/starchat2-15b/dpo/config_v0.1.yaml/0 | {
"file_path": "alignment-handbook/recipes/starchat2-15b/dpo/config_v0.1.yaml",
"repo_id": "alignment-handbook",
"token_count": 398
} | 14 |
#!/usr/bin/env python
# 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/LI... | alignment-handbook/scripts/run_sft.py/0 | {
"file_path": "alignment-handbook/scripts/run_sft.py",
"repo_id": "alignment-handbook",
"token_count": 3196
} | 15 |
[build]
rustflags = ["-C", "target-cpu=native"]
[target.wasm32-unknown-unknown]
rustflags = ["-C", "target-feature=+simd128"]
[target.x86_64-apple-darwin]
rustflags = ["-C", "target-feature=-avx,-avx2"] | candle/.cargo/config.toml/0 | {
"file_path": "candle/.cargo/config.toml",
"repo_id": "candle",
"token_count": 84
} | 16 |
# Introduction
{{#include ../../README.md:features}}
This book will introduce step by step how to use `candle`.
| candle/candle-book/src/README.md/0 | {
"file_path": "candle/candle-book/src/README.md",
"repo_id": "candle",
"token_count": 34
} | 17 |
# Porting a custom kernel
| candle/candle-book/src/inference/cuda/porting.md/0 | {
"file_path": "candle/candle-book/src/inference/cuda/porting.md",
"repo_id": "candle",
"token_count": 7
} | 18 |
use crate::benchmarks::{BenchDevice, BenchDeviceHandler};
use candle_core::{DType, Device, Tensor};
use criterion::{black_box, criterion_group, Criterion, Throughput};
use std::time::Instant;
fn run(
x: &Tensor,
k: &Tensor,
padding: usize,
output_padding: usize,
stride: usize,
dilation: usize,
... | candle/candle-core/benches/benchmarks/conv_transpose2d.rs/0 | {
"file_path": "candle/candle-core/benches/benchmarks/conv_transpose2d.rs",
"repo_id": "candle",
"token_count": 826
} | 19 |
use super::{Cpu, CpuF16};
#[cfg(target_arch = "x86")]
use core::arch::x86::*;
#[cfg(target_arch = "x86_64")]
use core::arch::x86_64::*;
use half::f16;
pub struct CurrentCpu {}
const STEP: usize = 32;
const EPR: usize = 8;
const ARR: usize = STEP / EPR;
impl Cpu<ARR> for CurrentCpu {
type Unit = __m256;
type... | candle/candle-core/src/cpu/avx.rs/0 | {
"file_path": "candle/candle-core/src/cpu/avx.rs",
"repo_id": "candle",
"token_count": 2094
} | 20 |
//! Types for elements that can be stored and manipulated using tensors.
#![allow(clippy::redundant_closure_call)]
use crate::backend::BackendStorage;
use crate::{CpuStorage, CpuStorageRef, Error, Result};
/// The different types of elements allowed in tensors.
#[derive(Debug, Copy, Clone, PartialEq, Eq, Hash)]
pub en... | candle/candle-core/src/dtype.rs/0 | {
"file_path": "candle/candle-core/src/dtype.rs",
"repo_id": "candle",
"token_count": 3099
} | 21 |
#![allow(unused)]
use super::GgmlDType;
use crate::{Error, MetalDevice, MetalStorage, Result};
pub struct QMetalStorage {
dtype: GgmlDType,
device: MetalDevice,
}
impl QMetalStorage {
pub fn zeros(_: &MetalDevice, _: usize, _: GgmlDType) -> Result<Self> {
Err(Error::NotCompiledWithMetalSupport)
... | candle/candle-core/src/quantized/dummy_metal.rs/0 | {
"file_path": "candle/candle-core/src/quantized/dummy_metal.rs",
"repo_id": "candle",
"token_count": 522
} | 22 |
//! Tensors are N-dimensional matrixes of elements using a single data type.
#![allow(clippy::redundant_closure_call)]
use crate::backend::{BackendDevice, BackendStorage};
use crate::op::{BackpropOp, BinaryOp, CmpOp, Op, ReduceOp, UnaryOp};
use crate::scalar::TensorOrScalar;
use crate::shape::{Dim, Dims};
use crate::{b... | candle/candle-core/src/tensor.rs/0 | {
"file_path": "candle/candle-core/src/tensor.rs",
"repo_id": "candle",
"token_count": 48278
} | 23 |
/// Regression test for pth files not loading on Windows.
#[test]
fn test_pth() {
let tensors = candle_core::pickle::PthTensors::new("tests/test.pt", None).unwrap();
tensors.get("test").unwrap().unwrap();
}
#[test]
fn test_pth_with_key() {
let tensors =
candle_core::pickle::PthTensors::new("tests/t... | candle/candle-core/tests/pth_tests.rs/0 | {
"file_path": "candle/candle-core/tests/pth_tests.rs",
"repo_id": "candle",
"token_count": 440
} | 24 |
//! The MNIST hand-written digit dataset.
//!
//! The files can be obtained from the following link:
//! <http://yann.lecun.com/exdb/mnist/>
use candle::{DType, Device, Error, Result, Tensor};
use hf_hub::{api::sync::Api, Repo, RepoType};
use parquet::file::reader::{FileReader, SerializedFileReader};
use std::fs::File;... | candle/candle-datasets/src/vision/mnist.rs/0 | {
"file_path": "candle/candle-datasets/src/vision/mnist.rs",
"repo_id": "candle",
"token_count": 2133
} | 25 |
# candle-clip
Contrastive Language-Image Pre-Training (CLIP) is an architecture trained on
pairs of images with related texts.
https://github.com/openai/CLIP
https://github.com/huggingface/transformers/tree/f6fa0f0bf0796ac66f201f23bdb8585de1609add/src/transformers/models/clip
## Running on an example on cpu
```
$ ... | candle/candle-examples/examples/clip/README.md/0 | {
"file_path": "candle/candle-examples/examples/clip/README.md",
"repo_id": "candle",
"token_count": 623
} | 26 |
# 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
} | 27 |
#[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
} | 28 |
// https://github.com/karpathy/llama2.c
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
use candle_transformers::models::llama2_c as model;
use candle_transformers::models::llama2_c_weights as weights;
use candle_transformers::models::quantized_llama2_c... | candle/candle-examples/examples/llama2-c/main.rs/0 | {
"file_path": "candle/candle-examples/examples/llama2-c/main.rs",
"repo_id": "candle",
"token_count": 6004
} | 29 |
#[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, Tensor};
use candle_examples::token_output_stream::TokenOutputStream;
use candle_nn::VarBuilder;
use candle_transformers::models::... | candle/candle-examples/examples/marian-mt/main.rs/0 | {
"file_path": "candle/candle-examples/examples/marian-mt/main.rs",
"repo_id": "candle",
"token_count": 2385
} | 30 |
#![allow(dead_code)]
// https://huggingface.co/facebook/musicgen-small/tree/main
// https://github.com/huggingface/transformers/blob/cd4584e3c809bb9e1392ccd3fe38b40daba5519a/src/transformers/models/musicgen/modeling_musicgen.py
// TODO: Add an offline mode.
// TODO: Add a KV cache.
#[cfg(feature = "mkl")]
extern crate... | candle/candle-examples/examples/musicgen/main.rs/0 | {
"file_path": "candle/candle-examples/examples/musicgen/main.rs",
"repo_id": "candle",
"token_count": 1151
} | 31 |
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use std::io::Write;
use std::path::PathBuf;
use candle_transformers::models::quantized_t5 as t5;
use anyhow::{Error as E, Result};
use candle::{Device, Tensor};
use candle_transformers::generation::LogitsP... | candle/candle-examples/examples/quantized-t5/main.rs/0 | {
"file_path": "candle/candle-examples/examples/quantized-t5/main.rs",
"repo_id": "candle",
"token_count": 3631
} | 32 |
# candle-replit-code: code completion specialized model.
[replit-code-v1_5-3b](https://huggingface.co/replit/replit-code-v1_5-3b) is a
language model specialized for code completion. This model uses 3.3B parameters
in `bfloat16` (so the GPU version will only work on recent nvidia cards).
## Running some example
```b... | candle/candle-examples/examples/replit-code/README.md/0 | {
"file_path": "candle/candle-examples/examples/replit-code/README.md",
"repo_id": "candle",
"token_count": 426
} | 33 |
//! SAM: Segment Anything Model
//! https://github.com/facebookresearch/segment-anything
#[cfg(feature = "mkl")]
extern crate intel_mkl_src;
#[cfg(feature = "accelerate")]
extern crate accelerate_src;
use candle::DType;
use candle_nn::VarBuilder;
use candle_transformers::models::segment_anything::sam;
use clap::Pars... | candle/candle-examples/examples/segment-anything/main.rs/0 | {
"file_path": "candle/candle-examples/examples/segment-anything/main.rs",
"repo_id": "candle",
"token_count": 3137
} | 34 |
## VGG Model Implementation
This example demonstrates the implementation of VGG models (VGG13, VGG16, VGG19) using the Candle library.
The VGG models are defined in `candle-transformers/src/models/vgg.rs`. The main function in `candle-examples/examples/vgg/main.rs` loads an image, selects the VGG model based on the p... | candle/candle-examples/examples/vgg/README.md/0 | {
"file_path": "candle/candle-examples/examples/vgg/README.md",
"repo_id": "candle",
"token_count": 200
} | 35 |
use candle::{Device, Result, Tensor};
pub const IMAGENET_MEAN: [f32; 3] = [0.485f32, 0.456, 0.406];
pub const IMAGENET_STD: [f32; 3] = [0.229f32, 0.224, 0.225];
/// Loads an image from disk using the image crate at the requested resolution,
/// using the given std and mean parameters.
/// This returns a tensor with s... | candle/candle-examples/src/imagenet.rs/0 | {
"file_path": "candle/candle-examples/src/imagenet.rs",
"repo_id": "candle",
"token_count": 13049
} | 36 |
/******************************************************************************
* Copyright (c) 2024, Tri Dao.
******************************************************************************/
#pragma once
#include "cute/tensor.hpp"
#include "cutlass/cutlass.h"
#include "cutlass/layout/layout.h"
#include <cutlass/nu... | candle/candle-flash-attn/kernels/kernel_traits.h/0 | {
"file_path": "candle/candle-flash-attn/kernels/kernel_traits.h",
"repo_id": "candle",
"token_count": 7766
} | 37 |
#include "binary_op_macros.cuh"
#include<stdint.h>
#if __CUDA_ARCH__ >= 800
BINARY_OP(__nv_bfloat16, badd_bf16, x + y)
BINARY_OP(__nv_bfloat16, bdiv_bf16, x / y)
BINARY_OP(__nv_bfloat16, bmul_bf16, x * y)
BINARY_OP(__nv_bfloat16, bsub_bf16, x - y)
BINARY_OP(__nv_bfloat16, bmaximum_bf16, maxg(x, y))
BINARY_OP(__nv_bflo... | candle/candle-kernels/src/binary.cu/0 | {
"file_path": "candle/candle-kernels/src/binary.cu",
"repo_id": "candle",
"token_count": 2144
} | 38 |
#include <metal_stdlib>
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++) {
uint dim_idx = num_dims - 1 - d;
strided_i += (idx % dims[dim_idx]) * str... | candle/candle-metal-kernels/src/affine.metal/0 | {
"file_path": "candle/candle-metal-kernels/src/affine.metal",
"repo_id": "candle",
"token_count": 1496
} | 39 |
use candle_metal_kernels::{binary, call_binary_contiguous, call_binary_strided, Kernels};
use half::{bf16, f16};
use metal::objc::rc::autoreleasepool;
use metal::{Device, MTLResourceOptions};
use rand;
use std::any::type_name;
use std::time::Instant;
fn main() {
let device = Device::system_default().unwrap();
... | candle/candle-metal-kernels/tmp/binary.rs/0 | {
"file_path": "candle/candle-metal-kernels/tmp/binary.rs",
"repo_id": "candle",
"token_count": 3149
} | 40 |
//! Layers defined by closures.
use candle::{Result, Tensor};
use std::sync::Arc;
/// A layer defined by a simple closure.
#[derive(Clone)]
pub struct Func<'a> {
#[allow(clippy::type_complexity)]
f: Arc<dyn 'a + Fn(&Tensor) -> Result<Tensor> + Send + Sync>,
}
impl<'a> std::fmt::Debug for Func<'a> {
fn fmt... | candle/candle-nn/src/func.rs/0 | {
"file_path": "candle/candle-nn/src/func.rs",
"repo_id": "candle",
"token_count": 804
} | 41 |
/* Equivalent PyTorch code.
import torch
from torch.nn.functional import group_norm
t = torch.tensor(
[[[-0.3034, 0.2726, -0.9659],
[-1.1845, -1.3236, 0.0172],
[ 1.9507, 1.2554, -0.8625],
[ 1.0682, 0.3604, 0.3985],
[-0.4957, -0.4461, -0.9721],
[ 1.5157, -0.... | candle/candle-nn/tests/group_norm.rs/0 | {
"file_path": "candle/candle-nn/tests/group_norm.rs",
"repo_id": "candle",
"token_count": 2154
} | 42 |
## Installation
From the `candle-pyo3` directory, enable a virtual env where you will want the
candle package to be installed then run.
```bash
maturin develop -r
python test.py
```
## Generating Stub Files for Type Hinting
For type hinting support, the `candle-pyo3` package requires `*.pyi` files. You can automa... | candle/candle-pyo3/README.md/0 | {
"file_path": "candle/candle-pyo3/README.md",
"repo_id": "candle",
"token_count": 190
} | 43 |
import candle
from candle import Tensor
from .module import Module
from typing import Union, List, Tuple, Optional, Any
_shape_t = Union[int, List[int]]
import numbers
class LayerNorm(Module):
r"""Applies Layer Normalization over a mini-batch of inputs as described in
the paper `Layer Normalization <https://... | candle/candle-pyo3/py_src/candle/nn/normalization.py/0 | {
"file_path": "candle/candle-pyo3/py_src/candle/nn/normalization.py",
"repo_id": "candle",
"token_count": 803
} | 44 |
import candle
import torch
# convert from candle tensor to torch tensor
t = candle.randn((3, 512, 512))
torch_tensor = t.to_torch()
print(torch_tensor)
print(type(torch_tensor))
# convert from torch tensor to candle tensor
t = torch.randn((3, 512, 512))
candle_tensor = candle.Tensor(t)
print(candle_tensor)
print(type... | candle/candle-pyo3/test_pytorch.py/0 | {
"file_path": "candle/candle-pyo3/test_pytorch.py",
"repo_id": "candle",
"token_count": 126
} | 45 |
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