1. 02 Aug, 2023 1 commit
  2. 24 Jul, 2023 1 commit
  3. 14 Jul, 2023 1 commit
  4. 30 Jun, 2023 1 commit
    • Matt's avatar
      Speed up TF tests by reducing hidden layer counts (#24595) · 134caef3
      Matt authored
      * hidden layers, huh, what are they good for (absolutely nothing)
      
      * Some tests break with 1 hidden layer, use 2
      
      * Use 1 hidden layer in a few slow models
      
      * Use num_hidden_layers=2 everywhere
      
      * Slightly higher tol for groupvit
      
      * Slightly higher tol for groupvit
      134caef3
  5. 24 May, 2023 1 commit
    • Matt's avatar
      Better TF docstring types (#23477) · f8b25744
      Matt authored
      * Rework TF type hints to use | None instead of Optional[] for tf.Tensor
      
      * Rework TF type hints to use | None instead of Optional[] for tf.Tensor
      
      * Don't forget the imports
      
      * Add the imports to tests too
      
      * make fixup
      
      * Refactor tests that depended on get_type_hints
      
      * Better test refactor
      
      * Fix an old hidden bug in the test_keras_fit input creation code
      
      * Fix for the Deit tests
      f8b25744
  6. 20 Apr, 2023 1 commit
  7. 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
  8. 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
  9. 08 Dec, 2022 1 commit
  10. 28 Nov, 2022 1 commit
  11. 04 Nov, 2022 1 commit
  12. 02 Nov, 2022 1 commit
  13. 01 Nov, 2022 1 commit
    • Matt's avatar
      Add ESMFold (#19977) · 7f9b7b3f
      Matt authored
      
      
      * initial commit
      
      * First draft that gets outputs without crashing!
      
      * Add all the ported openfold dependencies
      
      * testing
      
      * Restructure config files for ESMFold
      
      * Debugging to find output discrepancies
      
      * Mainly style
      
      * Make model runnable without extra deps
      
      * Remove utils and merge them to the modeling file
      
      * Use correct gelu and remove some debug prints
      
      * More cleanup
      
      * Update esm docs
      
      * Update conversion script to support ESMFold properly
      
      * Port some top-level changes from ESMFold repo
      
      * Expand EsmFold docstrings
      
      * Make attention_mask optional (default to all 1s)
      
      * Add inference test for ESMFold
      
      * Use config and not n kwargs
      
      * Add modeling output class
      
      * Remove einops
      
      * Remove chunking in ESM FFN
      
      * Update tests for ESMFold
      
      * Quality
      
      * REpo consistency
      
      * Remove tree dependency from ESMFold
      
      * make fixup
      
      * Add an error in case my structure map function breaks later
      
      * Remove needless code
      
      * Stop auto-casting the LM to float16 so CPU tests pass
      
      * Stop auto-casting the LM to float16 so CPU tests pass
      
      * Final test updates
      
      * Split test file
      
      * Copyright and quality
      
      * Unpin PyTorch to see built doc
      
      * Fix config file to_dict() method
      
      * Add some docstrings to the output
      
      * Skip TF checkpoint tests for ESM until we reupload those
      
      * make fixup
      
      * More docstrings
      
      * Unpin to get even with main
      
      * Flag example to write
      Co-authored-by: default avatarSylvain Gugger <Sylvain.gugger@gmail.com>
      7f9b7b3f
  14. 17 Oct, 2022 1 commit
    • Matt's avatar
      TF port of ESM (#19587) · 3b3024da
      Matt authored
      
      
      * Partial TF port for ESM model
      
      * Add ESM-TF tests
      
      * Add the various imports for TF-ESM
      
      * TF weight conversion almost ready
      
      * Stop ignoring the decoder weights in PT
      
      * Add tests and lots of fixes
      
      * fix-copies
      
      * Fix imports, add model docs
      
      * Add get_vocab() to tokenizer
      
      * Fix vocab links for pretrained files
      
      * Allow multiple inputs with a sep
      
      * Use EOS as SEP token because ESM vocab lacks SEP
      
      * Correctly return special tokens mask from ESM tokenizer
      
      * make fixup
      
      * Stop testing unsupported embedding resizing
      
      * Handle TF bias correctly
      
      * Skip all models with slow tokenizers in the token classification test
      
      * Fixing the batch/unbatcher of pipelines to accomodate the `None` being
      
      passed around.
      
      * Fixing pipeline bug caused by slow tokenizer  being different.
      
      * Update src/transformers/models/esm/modeling_tf_esm.py
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      
      * Update src/transformers/models/esm/modeling_tf_esm.py
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      
      * Update src/transformers/models/esm/modeling_tf_esm.py
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      
      * Update set_input_embeddings and the copyright notices
      Co-authored-by: default avatarYour Name <you@example.com>
      Co-authored-by: default avatarNicolas Patry <patry.nicolas@protonmail.com>
      Co-authored-by: default avatarJoao Gante <joaofranciscocardosogante@gmail.com>
      3b3024da
  15. 10 Oct, 2022 1 commit
  16. 30 Sep, 2022 1 commit
    • Matt's avatar
      Rebase ESM PR and update all file formats (#19055) · 368b649a
      Matt authored
      
      
      * Rebase ESM PR and update all file formats
      
      * Fix test relative imports
      
      * Add __init__.py to the test dir
      
      * Disable gradient checkpointing
      
      * Remove references to TFESM... FOR NOW >:|
      
      * Remove completed TODOs from tests
      
      * Convert docstrings to mdx, fix-copies from BERT
      
      * fix-copies for the README and index
      
      * Update ESM's __init__.py to the modern format
      
      * Add to _toctree.yml
      
      * Ensure we correctly copy the pad_token_id from the original ESM model
      
      * Ensure we correctly copy the pad_token_id from the original ESM model
      
      * Tiny grammar nitpicks
      
      * Make the layer norm after embeddings an optional flag
      
      * Make the layer norm after embeddings an optional flag
      
      * Update the conversion script to handle other model classes
      
      * Remove token_type_ids entirely, fix attention_masking and add checks to convert_esm.py
      
      * Break the copied from link from BertModel.forward to remove token_type_ids
      
      * Remove debug array saves
      
      * Begin ESM-2 porting
      
      * Add a hacky workaround for the precision issue in original repo
      
      * Code cleanup
      
      * Remove unused checkpoint conversion code
      
      * Remove unused checkpoint conversion code
      
      * Fix copyright notices
      
      * Get rid of all references to the TF weights conversion
      
      * Remove token_type_ids from the tests
      
      * Fix test code
      
      * Update src/transformers/__init__.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update src/transformers/__init__.py
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Update README.md
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      
      * Add credit
      
      * Remove _ args and __ kwargs in rotary embedding
      
      * Assertively remove asserts
      
      * Replace einsum with torch.outer()
      
      * Fix docstring formatting
      
      * Remove assertions in tokenization
      
      * Add paper citation to ESMModel docstring
      
      * Move vocab list to single line
      
      * Remove ESMLayer from init
      
      * Add Facebook copyrights
      
      * Clean up RotaryEmbedding docstring
      
      * Fix docstring formatting
      
      * Fix docstring for config object
      
      * Add explanation for new config methods
      
      * make fix-copies
      
      * Rename all the ESM- classes to Esm-
      
      * Update conversion script to allow pushing to hub
      
      * Update tests to point at my repo for now
      
      * Set config properly for tests
      
      * Remove the gross hack that forced loss of precision in inv_freq and instead copy the data from the model being converted
      
      * make fixup
      
      * Update expected values for slow tests
      
      * make fixup
      
      * Remove EsmForCausalLM for now
      
      * Remove EsmForCausalLM for now
      
      * Fix padding idx test
      
      * Updated README and docs with ESM-1b and ESM-2 separately (#19221)
      
      * Updated README and docs with ESM-1b and ESM-2 separately
      
      * Update READMEs, longer entry with 3 citations
      
      * make fix-copies
      Co-authored-by: default avatarYour Name <you@example.com>
      Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      Co-authored-by: default avatarTom Sercu <tsercu@fb.com>
      Co-authored-by: default avatarYour Name <you@example.com>
      368b649a