Repository Analysis

huggingface/accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

16.9 Moderate AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of huggingface/accelerate, a Python project with 9,777 GitHub stars. SynthScan v2.0 examined 77,993 lines of code across 337 source files, recording 1283 pattern matches distributed across 15 syntactic categories. The overall adjusted score of 16.9 places this repository in the Moderate AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

16.9
Adjusted Score
16.9
Raw Score
100%
Time Factor
2026-07-13
Last Push
9.8K
Stars
Python
Language
78.0K
Lines of Code
337
Files
1.3K
Pattern Hits
2026-07-14
Scan Date
0.10
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 1HIGH 32MEDIUM 31LOW 1219

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 1283 distinct pattern matches across 15 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Hyper-Verbose Identifiers374 hits · 366 pts
SeverityFileLineSnippetContext
LOWtests/test_big_modeling.py191 def test_init_empty_weights_very_large_model(self):CODE
LOWtests/test_big_modeling.py222 def test_cpu_offload_with_unused_submodules(self):CODE
LOWtests/test_big_modeling.py276 def test_disk_offload_with_unused_submodules(self):CODE
LOWtests/test_big_modeling.py317 def test_dispatch_model_and_remove_hook(self):CODE
LOWtests/test_big_modeling.py356 def test_dispatch_model_with_non_persistent_buffers(self):CODE
LOWtests/test_big_modeling.py368 def test_dispatch_model_tied_weights(self):CODE
LOWtests/test_big_modeling.py377 def test_dispatch_model_tied_weights_memory(self):CODE
LOWtests/test_big_modeling.py442 def test_dispatch_model_tied_weights_memory_with_nested_offload_cpu(self):CODE
LOWtests/test_big_modeling.py543 def test_dispatch_model_tied_weights_memory_with_nested_offload_disk(self):CODE
LOWtests/test_big_modeling.py649 def test_dispatch_model_multi_devices(self):CODE
LOWtests/test_big_modeling.py682 def test_dispatch_model_move_offloaded_model(self):CODE
LOWtests/test_big_modeling.py692 def test_dispatch_model_move_model_warning(self):CODE
LOWtests/test_big_modeling.py749 def test_dispatch_model_with_unused_submodules(self):CODE
LOWtests/test_big_modeling.py765 def test_dispatch_model_with_unused_submodules_multi_device(self):CODE
LOWtests/test_big_modeling.py780 def test_dispatch_model_disk_only(self):CODE
LOWtests/test_big_modeling.py795 def test_dispatch_model_force_hooks(self):CODE
LOWtests/test_big_modeling.py807 def test_load_checkpoint_and_dispatch(self):CODE
LOWtests/test_big_modeling.py828 def test_load_checkpoint_and_dispatch_device_map_none(self):CODE
LOWtests/test_big_modeling.py847 def test_load_checkpoint_and_dispatch_multi_device(self):CODE
LOWtests/test_big_modeling.py872 def test_load_checkpoint_and_dispatch_with_unused_submodules(self):CODE
LOWtests/test_big_modeling.py899 def test_load_checkpoint_and_dispatch_multi_device_with_unused_submodules(self):CODE
LOWtests/test_big_modeling.py926 def test_cpu_offload_with_hook(self):CODE
LOWtests/test_optimizer.py26 def test_accelerated_optimizer_pickling(self):CODE
LOWtests/test_optimizer.py40 def test_accelerated_optimizer_step_was_skipped(self):CODE
LOWtests/test_data_loader.py445 def test_split_batches_validates_dynamic_batch_size(self):CODE
LOWtests/test_data_loader.py455 def test_split_batches_validates_non_divisible_batch_size(self):CODE
LOWtests/test_data_loader.py463 def check_iterable_dataset_shards(CODE
LOWtests/test_data_loader.py47def parameterized_custom_name_func(func, param_num, param):CODE
LOWtests/test_data_loader.py100 def check_batch_sampler_shards(self, batch_sampler, expected, split_batches=False, even_batches=True):CODE
LOWtests/test_data_loader.py110 def test_batch_sampler_shards_with_no_splits(self):CODE
LOWtests/test_data_loader.py179 def test_batch_sampler_shards_with_splits(self):CODE
LOWtests/test_data_loader.py231 def test_batch_sampler_shards_with_no_splits_no_even(self):CODE
LOWtests/test_data_loader.py300 def test_batch_sampler_shards_with_splits_no_even(self):CODE
LOWtests/test_data_loader.py352 def test_batch_sampler_with_varying_batch_size(self):CODE
LOWtests/test_data_loader.py362 def test_batch_sampler_varying_batch_size_even_batches(self):CODE
LOWtests/test_data_loader.py424 def test_batch_sampler_varying_batch_size_many_processes(self):CODE
LOWtests/test_data_loader.py503 def test_iterable_dataset_shard(self):CODE
LOWtests/test_data_loader.py520 def test_iterable_dataset_using_none_batch_size(self):CODE
LOWtests/test_data_loader.py527 def test_iterable_dataset_with_non_tensor_samples(self):CODE
LOWtests/test_data_loader.py578 def test_dataloader_inheritance(self):CODE
LOWtests/test_data_loader.py626 def test_end_of_dataloader_dispatcher(self):CODE
LOWtests/test_data_loader.py635 def test_set_epoch_in_batch_sampler(self):CODE
LOWtests/test_data_loader.py649 def test_skip_first_batches_preserves_iteration(self):CODE
LOWtests/test_data_loader.py668 def test_skip_first_batches_does_not_reset_sampler_epoch(self):CODE
LOWtests/test_data_loader.py687 def test_iterable_dataset_native_sharding_when_n_shards_equals_num_processes(self):CODE
LOWtests/test_data_loader.py700 def test_ensure_dataloader_gets_cleaned_up(self):CODE
LOWtests/test_data_loader.py750 def test_end_of_dataloader_dispatcher(self):CODE
LOWtests/test_data_loader.py762 def test_dataloader_state_dict(self, num_workers):CODE
LOWtests/test_data_loader.py789 def test_dataloader_dispatcher_state_dict(self, num_workers):CODE
LOWtests/test_data_loader.py816 def test_dataloader_inheritance(self):CODE
LOWtests/test_data_loader.py844 def test_stateful_dataloader_adapter_equivalent_to_torchdata_stateful_dataloader(self, num_workers):CODE
LOWtests/test_data_loader.py954 def test_decoupled_stateful_dataloader_adapter_equivalent_to_torchdata_stateful_dataloader(self, num_workers):CODE
LOWtests/test_utils.py143 def test_patch_environment_key_exists(self):CODE
LOWtests/test_utils.py162 def test_patch_environment_restores_on_error(self):CODE
LOWtests/test_utils.py181 def test_can_undo_convert_outputs(self):CODE
LOWtests/test_utils.py242 def test_dynamo_extract_model_keep_torch_compile(self):CODE
LOWtests/test_utils.py253 def test_dynamo_extract_model_remove_torch_compile(self):CODE
LOWtests/test_utils.py269 def test_check_os_kernel_no_warning_when_release_gt_min(self):CODE
LOWtests/test_utils.py276 def test_check_os_kernel_no_warning_when_not_linux(self):CODE
LOWtests/test_utils.py283 def test_check_os_kernel_warning_when_release_lt_min(self):CODE
314 more matches not shown…
Unused Imports389 hits · 243 pts
SeverityFileLineSnippetContext
LOWmanim_animations/dataloaders/stage_6.py15CODE
LOWmanim_animations/dataloaders/stage_2.py15CODE
LOWmanim_animations/dataloaders/stage_3.py15CODE
LOWmanim_animations/dataloaders/stage_7.py15CODE
LOWmanim_animations/dataloaders/stage_0.py15CODE
LOWmanim_animations/dataloaders/stage_4.py15CODE
LOWmanim_animations/dataloaders/stage_5.py15CODE
LOWmanim_animations/dataloaders/stage_5.py168CODE
LOWmanim_animations/dataloaders/stage_1.py15CODE
LOWmanim_animations/big_model_inference/stage_2.py15CODE
LOWmanim_animations/big_model_inference/stage_3.py15CODE
LOWmanim_animations/big_model_inference/stage_4.py15CODE
LOWmanim_animations/big_model_inference/stage_5.py15CODE
LOWmanim_animations/big_model_inference/stage_1.py15CODE
LOWsrc/accelerate/logging.py14CODE
LOWsrc/accelerate/parallelism_config.py30CODE
LOWsrc/accelerate/__init__.py16CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py17CODE
LOWsrc/accelerate/__init__.py26CODE
LOWsrc/accelerate/__init__.py27CODE
LOWsrc/accelerate/__init__.py28CODE
LOWsrc/accelerate/__init__.py28CODE
LOWsrc/accelerate/__init__.py29CODE
LOWsrc/accelerate/__init__.py30CODE
LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
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LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
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LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py31CODE
LOWsrc/accelerate/__init__.py51CODE
LOWsrc/accelerate/accelerator.py15CODE
LOWsrc/accelerate/accelerator.py167CODE
LOWsrc/accelerate/state.py15CODE
LOWsrc/accelerate/state.py63CODE
LOWsrc/accelerate/state.py66CODE
LOWsrc/accelerate/state.py69CODE
LOWsrc/accelerate/state.py72CODE
LOWsrc/accelerate/state.py761CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
LOWsrc/accelerate/test_utils/__init__.py14CODE
329 more matches not shown…
Over-Commented Block229 hits · 226 pts
SeverityFileLineSnippetContext
LOWsetup.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWsetup.py101COMMENT
LOWsetup.py121# 9. Add release notes to the tag in github once everything is looking hunky-dory.COMMENT
LOWtests/test_big_modeling.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_optimizer.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_data_loader.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_sagemaker.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_utils.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_cpu.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_launch.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOW…ts/test_load_checkpoint_and_dispatch_with_broadcast.py1# Copyright 2024 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_logging.py1# Copyright 2024 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_memory_utils.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_metrics.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_imports.py1# Copyright 2024 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/__init__.py1# Copyright 2025 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_fp8.py1# Copyright 2025 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_kwargs_handlers.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_scheduler.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_modeling_utils.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_compile.py1# Copyright 2025 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_dataclasses.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_accelerator.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_tracking.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_multidevice.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_quantization.py1# Copyright 2023 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_hooks.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_grad_sync.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/xla_spawn.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_offload.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_cli.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_tpu.py1# Copyright 2021 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_examples.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/test_state_checkpointing.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/deepspeed/test_deepspeed_gradient_accumulation.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/deepspeed/test_alst_ulysses_sp.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/deepspeed/test_deepspeed.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/deepspeed/test_deepspeed_multiple_model.py1# Copyright 2024 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/tp/test_tp.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/tp/fsdp2_tp_preparation.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWtests/fsdp/test_fsdp.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWutils/stale.py1# Copyright 2022 The HuggingFace Team, the AllenNLP library authors. All rights reserved.COMMENT
LOWutils/log_reports.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWexamples/nlp_example.py1# Copyright 2021 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/nlp_example.py21from transformers import AutoModelForSequenceClassification, AutoTokenizer, get_linear_schedule_with_warmup, set_seedCOMMENT
LOWexamples/multigpu_remote_launcher.py1# Copyright 2023 The HuggingFace Team. All rights reserved.COMMENT
LOWexamples/complete_cv_example.py1# Copyright 2021 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/complete_cv_example.py21from timm import create_modelCOMMENT
LOWexamples/finetune_lm_tpu.py1# Copyright 2025 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/complete_nlp_example.py1# Copyright 2021 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/complete_nlp_example.py21from torch.utils.data import DataLoaderCOMMENT
LOWexamples/cv_example.py1# Copyright 2021 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/cv_example.py21from timm import create_modelCOMMENT
LOWexamples/by_feature/gradient_accumulation.py1# Copyright 2021 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/by_feature/gradient_accumulation.py21from torch.utils.data import DataLoaderCOMMENT
LOWexamples/by_feature/memory.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
LOWexamples/by_feature/memory.py21from torch.optim import AdamWCOMMENT
LOWexamples/by_feature/local_sgd.py1# Copyright 2023 The HuggingFace Inc. team. All rights reserved.COMMENT
LOWexamples/by_feature/local_sgd.py21from torch.utils.data import DataLoaderCOMMENT
LOWexamples/by_feature/automatic_gradient_accumulation.py1# Copyright 2022 The HuggingFace Team. All rights reserved.COMMENT
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Cross-File Repetition32 hits · 160 pts
SeverityFileLineSnippetContext
HIGHexamples/nlp_example.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/gradient_accumulation.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/memory.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/local_sgd.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/automatic_gradient_accumulation.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/multi_process_metrics.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/early_stopping.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/profiler.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/schedule_free.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/tracking.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/ddp_comm_hook.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHexamples/by_feature/checkpointing.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGH…ure/gradient_accumulation_for_autoregressive_models.py0creates a set of `dataloader`s for the `salesforce/wikitext` dataset, using "huggingfacetb/smollm-360m" as the tokenizerSTRING
HIGHbenchmarks/fp8/ms_amp/ddp.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/ms_amp/non_distributed.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/transformer_engine/distrib_deepspeed.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/transformer_engine/ddp.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/transformer_engine/non_distributed.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/transformer_engine/fsdp.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/torchao/distrib_deepspeed.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/torchao/ddp.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/torchao/non_distributed.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/torchao/fsdp.py0this script tests to ensure that `accelerate` performs at the same level as raw `torchao`. this particular script verifiSTRING
HIGHbenchmarks/fp8/ms_amp/fp8_utils.py0returns a tuple of: - model - optimizer - train dataloader (prepared) - eval dataloader (prepared) - lr scheduler suitabSTRING
HIGHbenchmarks/fp8/transformer_engine/fp8_utils.py0returns a tuple of: - model - optimizer - train dataloader (prepared) - eval dataloader (prepared) - lr scheduler suitabSTRING
HIGHbenchmarks/fp8/torchao/fp8_utils.py0returns a tuple of: - model - optimizer - train dataloader (prepared) - eval dataloader (prepared) - lr scheduler suitabSTRING
HIGHbenchmarks/fp8/ms_amp/fp8_utils.py0same thing as `accelerator.get_named_parameters` returns a list of the named parameters of the model (extracted from parSTRING
HIGHbenchmarks/fp8/transformer_engine/fp8_utils.py0same thing as `accelerator.get_named_parameters` returns a list of the named parameters of the model (extracted from parSTRING
HIGHbenchmarks/fp8/torchao/fp8_utils.py0same thing as `accelerator.get_named_parameters` returns a list of the named parameters of the model (extracted from parSTRING
HIGH…_utils/scripts/external_deps/test_ds_multiple_model.py0creates a set of `dataloader`s for the `glue` dataset. args: accelerator (`accelerator`): an `accelerator` object batch_STRING
HIGH…e/test_utils/scripts/external_deps/test_performance.py0creates a set of `dataloader`s for the `glue` dataset. args: accelerator (`accelerator`): an `accelerator` object batch_STRING
HIGH…test_utils/scripts/external_deps/test_checkpointing.py0creates a set of `dataloader`s for the `glue` dataset. args: accelerator (`accelerator`): an `accelerator` object batch_STRING
Deep Nesting154 hits · 140 pts
SeverityFileLineSnippetContext
LOWtests/test_tracking.py117CODE
LOWtests/test_multidevice.py85CODE
LOWtests/test_hooks.py66CODE
LOWtests/test_examples.py93CODE
LOWtests/deepspeed/test_deepspeed_gradient_accumulation.py71CODE
LOWtests/deepspeed/test_deepspeed.py281CODE
LOWtests/deepspeed/test_deepspeed.py650CODE
LOWtests/deepspeed/test_deepspeed.py934CODE
LOWtests/deepspeed/test_deepspeed.py979CODE
LOWtests/deepspeed/test_deepspeed.py1034CODE
LOWtests/fsdp/test_fsdp.py139CODE
LOWtests/fsdp/test_fsdp.py214CODE
LOWtests/fsdp/test_fsdp.py291CODE
LOWtests/fsdp/test_fsdp.py332CODE
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LOWexamples/complete_cv_example.py74CODE
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LOWexamples/by_feature/deepspeed_with_config_support.py264CODE
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LOWsrc/accelerate/accelerator.py2506CODE
LOWsrc/accelerate/accelerator.py2619CODE
LOWsrc/accelerate/accelerator.py2818CODE
LOWsrc/accelerate/accelerator.py2946CODE
LOWsrc/accelerate/accelerator.py3068CODE
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Self-Referential Comments21 hits · 62 pts
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MEDIUMtests/test_modeling_utils.py775 # Create a model where modules cannot be allocated without fallback_allocationCOMMENT
MEDIUMtests/test_modeling_utils.py776 # Define the inner module with its layersCOMMENT
MEDIUMtests/test_modeling_utils.py809 # Create a model where even the smallest submodules cannot fitCOMMENT
MEDIUMtests/test_modeling_utils.py834 # Create a model with deeper hierarchyCOMMENT
MEDIUMtests/test_modeling_utils.py854 # Create a model with tied weightsCOMMENT
MEDIUMtests/test_modeling_utils.py873 # Create a model with buffersCOMMENT
MEDIUMtests/test_modeling_utils.py961 # Create a model with a ModuleList containing more than 10 elementsCOMMENT
MEDIUMtests/deepspeed/test_deepspeed_gradient_accumulation.py155 # Create a simple dataloader for prepare to workCOMMENT
MEDIUMexamples/inference/pippy/gpt2.py29# Create an example modelCOMMENT
MEDIUMexamples/inference/pippy/gpt2.py44# Create a pipeline stage from the modelCOMMENT
MEDIUMexamples/inference/pippy/t5.py38# Create an example modelCOMMENT
MEDIUMexamples/inference/pippy/t5.py55# Create a pipeline stage from the modelCOMMENT
MEDIUMexamples/inference/pippy/llama.py34# Create a pipeline stage from the modelCOMMENT
MEDIUMexamples/inference/pippy/bert.py29# Create an example modelCOMMENT
MEDIUMexamples/inference/pippy/bert.py45# Create a pipeline stage from the modelCOMMENT
MEDIUMsrc/accelerate/big_modeling.py603 >>> # Create a model and initialize it with empty weightsSTRING
MEDIUMsrc/accelerate/test_utils/scripts/test_ops.py58 # Create a non-contiguous tensor (enforce non-contiguity after device memory allocation)COMMENT
MEDIUMsrc/accelerate/utils/environment.py345 # The below code is based on https://github.com/NVIDIA/DeepLearningExamples/blob/master/TensorFlow2/LanguageCOMMENT
MEDIUMsrc/accelerate/utils/dataclasses.py2000 # Create a function that will be used to initialize the parameters of the modelCOMMENT
MEDIUMsrc/accelerate/utils/bnb.py389 # Create a copy of the modelSTRING
MEDIUMsrc/accelerate/utils/modeling.py1348 # Initialize the variablesCOMMENT
Excessive Try-Catch Wrapping29 hits · 35 pts
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LOWtests/test_big_modeling.py434 except Exception as e:CODE
LOWtests/test_big_modeling.py519 except Exception as e:CODE
LOWtests/test_big_modeling.py623 except Exception as e:CODE
LOWtests/test_optimizer.py33 except Exception as e:CODE
LOWexamples/inference/distributed/llava_next_video.py131 except Exception as e:CODE
MEDIUMexamples/inference/distributed/llava_next_video.py132 print(f"Error processing video {video_path}: {str(e)}")CODE
LOWsrc/accelerate/accelerator.py3137 except Exception:CODE
LOWsrc/accelerate/checkpointing.py317 except Exception:CODE
LOWsrc/accelerate/test_utils/testing.py875 except Exception as e:CODE
LOWsrc/accelerate/test_utils/testing.py892 except Exception as e:CODE
MEDIUMsrc/accelerate/test_utils/testing.py136def parse_flag_from_env(key, default=False):CODE
LOWsrc/accelerate/test_utils/scripts/test_merge_weights.py151 except Exception:CODE
LOWsrc/accelerate/utils/memory.py181 except Exception as e:CODE
LOWsrc/accelerate/utils/imports.py236 except Exception as e:CODE
LOWsrc/accelerate/utils/imports.py386 except Exception:CODE
LOWsrc/accelerate/utils/environment.py220 except Exception:CODE
LOWsrc/accelerate/utils/environment.py241 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py771 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py779 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py787 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py795 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py803 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py811 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py819 except Exception:CODE
LOWsrc/accelerate/utils/modeling.py213 except Exception:CODE
LOWsrc/accelerate/commands/launch.py1024 except Exception:CODE
LOWsrc/accelerate/commands/launch.py1077 except Exception:CODE
LOWsrc/accelerate/commands/launch.py1167 except Exception:CODE
LOWsrc/accelerate/commands/config/config_utils.py55 except Exception:CODE
Redundant / Tautological Comments13 hits · 18 pts
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LOWtests/fsdp/test_fsdp.py165 # Check if torch enum worksCOMMENT
LOWtests/fsdp/test_fsdp.py174 # Check if name worksCOMMENT
LOWexamples/by_feature/early_stopping.py200 # Check if we should stop the training on any processesCOMMENT
LOWsrc/accelerate/accelerator.py1916 # Check if the model is already a FSDP model due to `Manual Wrapping` and if so,COMMENT
LOWsrc/accelerate/accelerator.py2998 # Set is_xla_gradients_synced to True to avoid all-reduce twice in the AcceleratedOptimizer step.COMMENT
LOWsrc/accelerate/accelerator.py3785 # Check if folder existsCOMMENT
LOWsrc/accelerate/big_modeling.py492 # Check if we are using multi-gpus with RTX 4000 seriesCOMMENT
LOW…erate/test_utils/scripts/test_distributed_data_loop.py272 # Check if all elements are present in the sorted list of iterated samplesCOMMENT
LOWsrc/accelerate/utils/deepspeed.py66 # Check if the optimizer is PyTorch's Adagrad.COMMENT
LOWsrc/accelerate/utils/other.py404 # Check if it's a model and remove duplicatesCOMMENT
LOWsrc/accelerate/utils/environment.py214 # Check if they have the right driver versionCOMMENT
LOWsrc/accelerate/utils/bnb.py332 # Check if the current key is not in the `modules_to_not_convert`COMMENT
LOWsrc/accelerate/utils/bnb.py401 # Check if it is a base modelSTRING
AI Structural Patterns17 hits · 16 pts
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LOWexamples/inference/distributed/llava_next_video.py138CODE
LOW…/inference/distributed/distributed_image_generation.py57CODE
LOWsrc/accelerate/hooks.py491CODE
LOWsrc/accelerate/hooks.py586CODE
LOWsrc/accelerate/hooks.py262CODE
LOWsrc/accelerate/data_loader.py1016CODE
LOWsrc/accelerate/data_loader.py545CODE
LOWsrc/accelerate/data_loader.py750CODE
LOWsrc/accelerate/launchers.py43CODE
LOWsrc/accelerate/accelerator.py279CODE
LOWsrc/accelerate/big_modeling.py315CODE
LOWsrc/accelerate/big_modeling.py520CODE
LOWsrc/accelerate/state.py899CODE
LOWsrc/accelerate/utils/environment.py91CODE
LOWsrc/accelerate/utils/modeling.py1295CODE
LOWsrc/accelerate/utils/modeling.py1805CODE
LOWsrc/accelerate/commands/config/config_args.py100CODE
Modern Structural Boilerplate12 hits · 12 pts
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LOWtests/test_big_modeling.py53logger = logging.getLogger(__name__)CODE
LOWtests/test_tracking.py87logger = logging.getLogger(__name__)CODE
LOWtests/test_state_checkpointing.py42logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/big_modeling.py58logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/state.py75logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/utils/environment.py31logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/utils/environment.py364def set_numa_affinity(local_process_index: int, verbose: Optional[bool] = None) -> None:CODE
LOWsrc/accelerate/utils/dataclasses.py67logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/utils/bnb.py41logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/utils/modeling.py70logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/commands/to_fsdp2.py68logger = logging.getLogger(__name__)CODE
LOWsrc/accelerate/commands/launch.py70logger = logging.getLogger(__name__)CODE
Hallucination Indicators1 hit · 10 pts
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CRITICALtests/test_big_modeling.py634 for pointer, pointer_dict in model.compute1.weight_submodule._hf_hook.tied_params_map.items():CODE
AI Slop Vocabulary5 hits · 10 pts
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MEDIUMexamples/config_yaml_templates/deepspeed.yaml3# With DeepSpeed, we utilize a deepspeed config file for the entire configurationCOMMENT
MEDIUMexamples/config_yaml_templates/multi_node.yaml2# Generally it's recommended to look at the SLURM config template for a more robust multi-node setupCOMMENT
LOWsrc/accelerate/big_modeling.py425 # Note: To handle the disk offloading case, we can not simply use weights_map[param_name].data_ptr() as COMMENT
LOWsrc/accelerate/utils/modeling.py1009 # We can't just set the memory to model_size // num_devices as it will end being too small: each GPU will getCOMMENT
MEDIUMsrc/accelerate/utils/fsdp_utils.py873 """Removes parameter name modifiers in order to map them back to their original names.STRING
Slop Phrases3 hits · 9 pts
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MEDIUMexamples/inference/distributed/phi2.py80# If you need to gather tensors, you can use gather from accelerate.utilsCOMMENT
MEDIUMsrc/accelerate/utils/imports.py336 # With torch 1.12, you can use torch.backends.mpsCOMMENT
MEDIUMsrc/accelerate/utils/imports.py337 # With torch 2.0.0, you can use torch.mpsCOMMENT
Decorative Section Separators2 hits · 6 pts
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MEDIUMexamples/finetune_lm_tpu.py144# =============================================================================COMMENT
MEDIUMexamples/finetune_lm_tpu.py146# =============================================================================COMMENT
TODO Padding2 hits · 3 pts
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LOWtests/test_offload.py49 # TODO: add tests on what is inside the indexCOMMENT
LOWtests/test_offload.py54 # TODO: add tests on the fact weights are properly loadedCOMMENT