1. 21 May, 2024 1 commit
  2. 20 May, 2024 1 commit
  3. 17 May, 2024 1 commit
    • Younes Belkada's avatar
      TEST: Add llama logits tests (#30835) · 3d7d3a87
      Younes Belkada authored
      * add llama logits test
      
      * fix
      
      * fix tests
      "
      
      "
      
      * fix for a10
      
      * format
      
      * format
      
      * fix
      
      * [run-slow] remove fmt: skip
      
      * Your commit message
      
      * test commit
      
      * Revert "test commit"
      
      This reverts commit b66e01e55f5e31d4c0479cac4bcacc0f123dc9d2.
      
      * [run-slow]llama
      
      * Update tests/models/llama/test_modeling_llama.py
      
      * [run-slow]llama
      
      * empty commit
      3d7d3a87
  4. 16 May, 2024 1 commit
  5. 13 May, 2024 1 commit
    • Poedator's avatar
      Llama: fix custom 4D masks, v2 (#30348) · a0779b9e
      Poedator authored
      
      
      * 4d mask fixes
      
      * Update custom 4D mask logic
      
      * test moved to mixin
      
      * extra tests 4d mask
      
      * upd 4d mask and StaticCache handling
      
      * added Mask4DTestHard to mistral tests
      
      * post-rebase fixes
      
      * test fixes for StaticCache
      
      * make fix-copies
      
      * upd 1 after #30476
      
      * fix common tests
      
      * rm elif attention_mask.dim() == 4:
      
      * tests combined, fixed, mixtral supported
      
      * bigbird style chg reverted
      
      * rm if attention_mask.dim() == 2
      
      * modeling_llama formatting chg
      
      ---------
      Co-authored-by: default avatarJoao Gante <joao@huggingface.co>
      a0779b9e
  6. 08 May, 2024 1 commit
  7. 30 Apr, 2024 1 commit
  8. 09 Apr, 2024 1 commit
  9. 05 Apr, 2024 1 commit
  10. 28 Mar, 2024 1 commit
  11. 20 Mar, 2024 1 commit
    • Arthur's avatar
      [`BC 4.37 -> 4.38`] for Llama family, memory and speed (#29753) · ff841900
      Arthur authored
      * attempt to fix
      
      * the actual fix that works with compilation!
      
      * this?
      
      * temporary update
      
      * nit?
      
      * dispatcg to memory efficient?
      
      * update both models that have static cache support
      
      * fix copies fix compile
      
      * make sure fix
      
      * fix cohere and gemma
      
      * fix beams?
      
      * nit
      
      * slipped through the cracks
      
      * nit
      
      * nits
      
      * update
      
      * fix-copies
      
      * skip failing tests
      
      * nits
      ff841900
  12. 01 Mar, 2024 1 commit
  13. 29 Feb, 2024 1 commit
  14. 28 Feb, 2024 1 commit
    • Arthur's avatar
      [`Llama ROPE`] Fix torch export but also slow downs in forward (#29198) · 8a8a0a4a
      Arthur authored
      * remove control flow
      
      * update gptneox
      
      * update ....
      
      * nits
      
      * Actually let's just break. Otherwise we are silently failing which imo is not optimal
      
      * version BC
      
      * fix tests
      
      * fix eager causal
      
      * nit
      
      * add a test
      
      * style
      
      * nits
      
      * nits
      
      * more nits for the test
      
      * update and fix
      
      * make sure cuda graphs are not skipped
      
      * read token is needed for meta llama
      
      * update!
      
      * fiixup
      
      * compile test should be slow
      
      * fix thet fix copies
      
      * stle 馃珷
      8a8a0a4a
  15. 21 Feb, 2024 1 commit
  16. 08 Feb, 2024 1 commit
  17. 06 Feb, 2024 1 commit
  18. 17 Jan, 2024 2 commits
  19. 08 Dec, 2023 1 commit
    • fxmarty's avatar
      F.scaled_dot_product_attention support (#26572) · 80377eb0
      fxmarty authored
      
      
      * add sdpa
      
      * wip
      
      * cleaning
      
      * add ref
      
      * yet more cleaning
      
      * and more :)
      
      * wip llama
      
      * working llama
      
      * add output_attentions=True support
      
      * bigcode sdpa support
      
      * fixes
      
      * gpt-bigcode support, require torch>=2.1.1
      
      * add falcon support
      
      * fix conflicts falcon
      
      * style
      
      * fix attention_mask definition
      
      * remove output_attentions from attnmaskconverter
      
      * support whisper without removing any Copied from statement
      
      * fix mbart default to eager renaming
      
      * fix typo in falcon
      
      * fix is_causal in SDPA
      
      * check is_flash_attn_2_available in the models init as well in case the model is not initialized through from_pretrained
      
      * add warnings when falling back on the manual implementation
      
      * precise doc
      
      * wip replace _flash_attn_enabled by config.attn_implementation
      
      * fix typo
      
      * add tests
      
      * style
      
      * add a copy.deepcopy on the config in from_pretrained, as we do not want to modify it inplace
      
      * obey to config.attn_implementation if a config is passed in from_pretrained
      
      * fix is_torch_sdpa_available when torch is not installed
      
      * remove dead code
      
      * Update src/transformers/modeling_attn_mask_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_attn_mask_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_attn_mask_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_attn_mask_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_attn_mask_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/bart/modeling_bart.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * remove duplicate pretraining_tp code
      
      * add dropout in llama
      
      * precise comment on attn_mask
      
      * add fmt: off for _unmask_unattended docstring
      
      * precise num_masks comment
      
      * nuke pretraining_tp in LlamaSDPAAttention following Arthur's suggestion
      
      * cleanup modeling_utils
      
      * backward compatibility
      
      * fix style as requested
      
      * style
      
      * improve documentation
      
      * test pass
      
      * style
      
      * add _unmask_unattended tests
      
      * skip meaningless tests for idefics
      
      * hard_check SDPA requirements when specifically requested
      
      * standardize the use if XXX_ATTENTION_CLASSES
      
      * fix SDPA bug with mem-efficient backend on CUDA when using fp32
      
      * fix test
      
      * rely on SDPA is_causal parameter to handle the causal mask in some cases
      
      * fix FALCON_ATTENTION_CLASSES
      
      * remove _flash_attn_2_enabled occurences
      
      * fix test
      
      * add OPT to the list of supported flash models
      
      * improve test
      
      * properly test on different SDPA backends, on different dtypes & properly handle separately the pad tokens in the test
      
      * remove remaining _flash_attn_2_enabled occurence
      
      * Update src/transformers/modeling_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/modeling_attn_mask_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update docs/source/en/perf_infer_gpu_one.md
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * remove use_attn_implementation
      
      * fix docstring & slight bug
      
      * make attn_implementation internal (_attn_implementation)
      
      * typos
      
      * fix tests
      
      * deprecate use_flash_attention_2=True
      
      * fix test
      
      * add back llama that was removed by mistake
      
      * fix tests
      
      * remove _flash_attn_2_enabled occurences bis
      
      * add check & test that passed attn_implementation is valid
      
      * fix falcon torchscript export
      
      * fix device of mask in tests
      
      * add tip about torch.jit.trace and move bt doc below sdpa
      
      * fix parameterized.expand order
      
      * move tests from test_modeling_attn_mask_utils to test_modeling_utils as a relevant test class is already there
      
      * update sdpaattention class with the new cache
      
      * Update src/transformers/configuration_utils.py
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      
      * Update src/transformers/models/bark/modeling_bark.py
      
      * address review comments
      
      * WIP torch.jit.trace fix. left: test both eager & sdpa
      
      * add test for torch.jit.trace for both eager/sdpa
      
      * fix falcon with torch==2.0 that needs to use sdpa
      
      * fix doc
      
      * hopefully last fix
      
      * fix key_value_length that has no default now in mask converter
      
      * is it flacky?
      
      * fix speculative decoding bug
      
      * tests do pass
      
      * fix following #27907
      
      ---------
      Co-authored-by: default avatarArthur <48595927+ArthurZucker@users.noreply.github.com>
      80377eb0
  20. 07 Dec, 2023 2 commits
    • fxmarty's avatar
      Fix device of masks in tests (#27887) · c99f2547
      fxmarty authored
      fix device of mask in tests
      c99f2547
    • Alex McKinney's avatar
      Add Llama Flax Implementation (#24587) · 75336c17
      Alex McKinney authored
      * Copies `modeling_flax_gpt_neo.py` to start
      
      * MLP Block. WIP Attention and Block
      
      * Adds Flax implementation of `LlamaMLP`
      Validated with in-file test.
      Some slight numeric differences, but assuming it isn't an issue
      
      * Adds `FlaxLlamaRMSNorm` layer
      `flax.linen` includes `RMSNorm` layer but not necessarily in all
      versions. Hence, we add in-file.
      
      * Adds FlaxLlamaAttention
      Copied from GPT-J as it has efficient caching implementation as well as
      rotary embeddings.
      Notice numerically different, but not by a huge amount. Needs
      investigating
      
      * Adds `FlaxLlamaDecoderLayer`
      numerically inaccurate, debugging..
      
      * debugging rotary mismatch
      gptj uses interleaved whilst llama uses contiguous
      i think they match now but still final result is wrong.
      maybe drop back to just debugging attention layer?
      
      * fixes bug with decoder layer
      still somewhat numerically inaccurate, but close enough for now
      
      * adds markers for what to implement next
      the structure here diverges a lot from the PT version.
      not a big fan of it, but just get something working for now
      
      * implements `FlaxLlamaBlockCollection`]
      tolerance must be higher than expected, kinda disconcerting
      
      * Adds `FlaxLlamaModule`
      equivalent PyTorch model is `LlamaModel`
      yay! a language model馃
      
      * adds `FlaxLlamaForCausalLMModule`
      equivalent to `LlamaForCausalLM`
      still missing returning dict or tuple, will add later
      
      * start porting pretrained wrappers
      realised it probably needs return dict as a prereq
      
      * cleanup, quality, style
      
      * readds `return_dict` and model output named tuples
      
      * (tentatively) pretrained wrappers work 馃敟
      
      * fixes numerical mismatch in `FlaxLlamaRMSNorm`
      seems `jax.lax.rsqrt` does not match `torch.sqrt`.
      manually computing `1 / jax.numpy.sqrt` results in matching values.
      
      * [WIP] debugging numerics
      
      * numerical match
      I think issue was accidental change of backend. forcing CPU fixes test.
      We expect some mismatch on GPU.
      
      * adds in model and integration tests for Flax Llama
      summary of failing:
      - mul invalid combination of dimensions
      - one numerical mismatch
      - bf16 conversion (maybe my local backend issue)
      - params are not FrozenDict
      
      * adds missing TYPE_CHECKING import and `make fixup`
      
      * adds back missing docstrings
      needs review on quality of docstrings, not sure what is required.
      Furthermore, need to check if `CHECKPOINT_FOR_DOC` is valid. See TODO
      
      * commenting out equivalence test as can just use common
      
      * debugging
      
      * Fixes bug where mask and pos_ids were swapped in pretrained models
      This results in all tests passing now 馃敟
      
      
      
      * cleanup of modeling file
      
      * cleanup of test file
      
      * Resolving simpler review comments
      
      * addresses more minor review comments
      
      * fixing introduced pytest errors from review
      
      * wip additional slow tests
      
      * wip tests
      need to grab a GPU machine to get real logits for comparison
      otherwise, slow tests should be okay
      
      * `make quality`, `make style`
      
      * adds slow integration tests
      - checking logits
      - checking hidden states
      - checking generation outputs
      
      * `make fix-copies`
      
      * fix mangled function following `make fix-copies`
      
      * adds missing type checking imports
      
      * fixes missing parameter checkpoint warning
      
      * more finegrained 'Copied from' tags
      avoids issue of overwriting `LLAMA_INPUTS_DOCSTRING`
      
      * swaps import guards
      ??? how did these get swapped initially?
      
      * removing `inv_freq` again as pytorch version has now removed
      
      * attempting to get CI to pass
      
      * adds doc entries for llama flax models
      
      * fixes typo in __init__.py imports
      
      * adds back special equivalence tests
      these come from the gpt neo flax tests. there is special behaviour for these models that needs to override the common version
      
      * overrides tests with dummy to see if CI passes
      need to fill in these tests later
      
      * adds my contribution to docs
      
      * `make style; make quality`
      
      * replaces random masking with fixed to work with flax version
      
      * `make quality; make style`
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * updates `x`->`tensor` in `rotate_half`
      
      * addresses smaller review comments
      
      * Update docs/source/en/model_doc/llama.md
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * adds integration test class
      
      * adds `dtype` to rotary embedding to cast outputs
      
      * adds type to flax llama rotary layer
      
      * `make style`
      
      * `make fix-copies`
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * applies suggestions from review
      
      * Update modeling_flax_llama.py
      
      * `make fix-copies`
      
      * Update tests/models/llama/test_modeling_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * Update src/transformers/models/llama/modeling_flax_llama.py
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      
      * fixes shape mismatch in FlaxLlamaMLP
      
      * applies some suggestions from reviews
      
      * casts attn output logits to f32 regardless of dtype
      
      * adds attn bias using `LlamaConfig.attention_bias`
      
      * adds Copied From comments to Flax Llama test
      
      * mistral and persimmon test change -copy from llama
      
      * updates docs index
      
      * removes Copied from in tests
      
      it was preventing `make fix-copies` from succeeding
      
      * quality and style
      
      * ignores FlaxLlama input docstring
      
      * adds revision to `_CHECKPOINT_FOR_DOC`
      
      * repo consistency and quality
      
      * removes unused import
      
      * removes copied from from Phi test
      
      now diverges from llama tests following FlaxLlama changes
      
      * adds `_REAL_CHECKPOINT_FOR_DOC`
      
      * removes refs from pr tests
      
      * reformat to make ruff happy
      
      ---------
      Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
      75336c17
  21. 21 Nov, 2023 1 commit
  22. 16 Nov, 2023 1 commit
    • Arthur's avatar
      [`Styling`] stylify using ruff (#27144) · 651408a0
      Arthur authored
      
      
      * try to stylify using ruff
      
      * might need to remove these changes?
      
      * use ruf format andruff check
      
      * use isinstance instead of type comparision
      
      * use # fmt: skip
      
      * use # fmt: skip
      
      * nits
      
      * soem styling changes
      
      * update ci job
      
      * nits isinstance
      
      * more files update
      
      * nits
      
      * more nits
      
      * small nits
      
      * check and format
      
      * revert wrong changes
      
      * actually use formatter instead of checker
      
      * nits
      
      * well docbuilder is overwriting this commit
      
      * revert notebook changes
      
      * try to nuke docbuilder
      
      * style
      
      * fix feature exrtaction test
      
      * remve `indent-width = 4`
      
      * fixup
      
      * more nits
      
      * update the ruff version that we use
      
      * style
      
      * nuke docbuilder styling
      
      * leve the print for detected changes
      
      * nits
      
      * Remove file I/O
      Co-authored-by: default avatarcharliermarsh <charlie.r.marsh@gmail.com>
      
      * style
      
      * nits
      
      * revert notebook changes
      
      * Add # fmt skip when possible
      
      * Add # fmt skip when possible
      
      * Fix
      
      * More `  # fmt: skip` usage
      
      * More `  # fmt: skip` usage
      
      * More `  # fmt: skip` usage
      
      * NIts
      
      * more fixes
      
      * fix tapas
      
      * Another way to skip
      
      * Recommended way
      
      * Fix two more fiels
      
      * Remove asynch
      Remove asynch
      
      ---------
      Co-authored-by: default avatarcharliermarsh <charlie.r.marsh@gmail.com>
      651408a0
  23. 09 Nov, 2023 1 commit
  24. 31 Oct, 2023 1 commit
    • Hz, Ji's avatar
      device agnostic models testing (#27146) · 50378cbf
      Hz, Ji authored
      * device agnostic models testing
      
      * add decorator `require_torch_fp16`
      
      * make style
      
      * apply review suggestion
      
      * Oops, the fp16 decorator was misused
      50378cbf
  25. 27 Oct, 2023 1 commit
  26. 23 Oct, 2023 1 commit
  27. 11 Oct, 2023 1 commit
  28. 22 Sep, 2023 1 commit
  29. 25 Aug, 2023 1 commit
    • Arthur's avatar
      [`CodeLlama`] Add support for `CodeLlama` (#25740) · 015f8e11
      Arthur authored
      
      
      * add all
      
      * Revert "Delete .github directory"
      
      This reverts commit 9b0ff7b052e2b20b629a26fb13606b78a42944d1.
      
      * make conversion script backward compatible
      
      * fixup
      
      * more styling
      
      * copy to llama changes
      
      * fix repo consistency
      
      * nits
      
      * document correct classes
      
      * updates
      
      * more fixes
      
      * nits
      
      * update auto mappings
      
      * add readmes
      
      * smallupdates
      
      * llama-code replace with llama_code
      
      * make fixup
      
      * updates to the testsing suite
      
      * fix fast nits
      
      * more small fixes
      
      * fix decode
      
      * fix template processing
      
      * properly reset the normalizer
      
      * nits processor
      
      * tokenization tests pass
      
      * styling
      
      * last tests
      
      * additional nits
      
      * one test is left
      
      * nits
      
      Co-authored-by faabian <faabian@users.noreply.github.com>
      
      * update failing test
      
      * fixup
      
      * remove decode infilling users should handle it on their onw after generation, padding can be a problem
      
      * update
      
      * make test slow and more meaningfull
      
      * fixup
      
      * doc update
      
      * fixup
      
      * Apply suggestions from code review
      
      * add kwargs doc
      
      * tokenizer requires `requires_backend`
      
      * type requires_backends
      
      * CodeLlama instead of LlamaCode
      
      * more name cahnges
      
      * nits
      
      * make doctests happy
      
      * small pipeline nits
      
      * last nit
      
      * Apply suggestions from code review
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * update
      
      * add codellama to toctree
      
      ---------
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      015f8e11
  30. 02 Aug, 2023 1 commit
  31. 21 Jul, 2023 1 commit
  32. 18 Jul, 2023 1 commit
  33. 13 Jul, 2023 1 commit
  34. 22 Mar, 2023 1 commit
  35. 17 Mar, 2023 1 commit
  36. 16 Mar, 2023 1 commit
    • Jason Phang's avatar
      LLaMA Implementation (#21955) · 0041be5b
      Jason Phang authored
      
      
      * LLaMA
      
      * sharding and docs
      
      * tweak
      
      * black
      
      * inits
      
      * ruff
      
      * LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP
      
      * init
      
      * no checkpoint
      
      * docs
      
      * ruff
      
      * type_vocab_size
      
      * tokenizer fixes
      
      * tokenizer fixes
      
      * Update tokenization_llama.py
      
      * Update tokenization_llama.py
      
      * Update configuration_llama.py
      
      * Update modeling_llama.py
      
      * tokenizer add_bos by default
      
      * licenses
      
      * remove decoder
      
      * norms and mlp
      
      * rope overhaul
      
      * tweaks
      
      * black
      
      * mention OPT implementation
      
      * off-by-one naming
      
      * typo
      
      * fix
      
      * tokenization fix and slicing bug
      
      * padding config
      
      * cleanup
      
      * black
      
      * update tests
      
      * undo typo
      
      * fix vocab caching logic
      
      * ruff
      
      * docbuilder
      
      * attn fix from BlackSamorez
      
      * initial feedback
      
      * typo
      
      * docs
      
      * llama case
      
      * llama case
      
      * load checkpoint docs
      
      * comment about tokenizer
      
      * tokenizer defaults
      
      * clear past_key_values if use_cache=False
      
      * last tweaks
      
      * last tweaks
      
      * last tweaks
      
      * last tweaks
      
      ---------
      Co-authored-by: default avatarStella Biderman <stellabiderman@gmail.com>
      0041be5b
  37. 28 Feb, 2023 1 commit
    • Yih-Dar's avatar
      馃敟Rework pipeline testing by removing `PipelineTestCaseMeta` 馃殌 (#21516) · 871c31a6
      Yih-Dar authored
      
      
      * Add PipelineTesterMixin
      
      * remove class PipelineTestCaseMeta
      
      * move validate_test_components
      
      * Add for ViT
      
      * Add to SPECIAL_MODULE_TO_TEST_MAP
      
      * style and quality
      
      * Add feature-extraction
      
      * update
      
      * raise instead of skip
      
      * add tiny_model_summary.json
      
      * more explicit
      
      * skip tasks not in mapping
      
      * add availability check
      
      * Add Copyright
      
      * A way to diable irrelevant tests
      
      * update with main
      
      * remove disable_irrelevant_tests
      
      * skip tests
      
      * better skip message
      
      * better skip message
      
      * Add all pipeline task tests
      
      * revert
      
      * Import PipelineTesterMixin
      
      * subclass test classes with PipelineTesterMixin
      
      * Add pipieline_model_mapping
      
      * Fix import after adding pipieline_model_mapping
      
      * Fix style and quality after adding pipieline_model_mapping
      
      * Fix one more import after adding pipieline_model_mapping
      
      * Fix style and quality after adding pipieline_model_mapping
      
      * Fix test issues
      
      * Fix import requirements
      
      * Fix mapping for MobileViTModelTest
      
      * Update
      
      * Better skip message
      
      * pipieline_model_mapping could not be None
      
      * Remove some PipelineTesterMixin
      
      * Fix typo
      
      * revert tests_fetcher.py
      
      * update
      
      * rename
      
      * revert
      
      * Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests
      
      * style and quality
      
      * test fetcher for all pipeline/model tests
      
      ---------
      Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      871c31a6
  38. 06 Feb, 2023 1 commit
    • Sylvain Gugger's avatar
      Update quality tooling for formatting (#21480) · 6f79d264
      Sylvain Gugger authored
      * Result of black 23.1
      
      * Update target to Python 3.7
      
      * Switch flake8 to ruff
      
      * Configure isort
      
      * Configure isort
      
      * Apply isort with line limit
      
      * Put the right black version
      
      * adapt black in check copies
      
      * Fix copies
      6f79d264