"...lm-evaluation-harness.git" did not exist on "fcddf195ec6bb69c63e36d54d75354f6ecaabab7"
- 24 Nov, 2023 1 commit
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Yih-Dar authored
* fix * fix * trigger * Apply suggestions from code review Co-authored-by:
Lysandre Debut <hi@lysand.re> * tic * revert * revert --------- Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
Lysandre Debut <hi@lysand.re>
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- 16 Nov, 2023 1 commit
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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:
charliermarsh <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:
charliermarsh <charlie.r.marsh@gmail.com>
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- 17 Aug, 2023 1 commit
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Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 30 Jun, 2023 2 commits
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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
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Yih-Dar authored
* fix * fix * fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 27 Jun, 2023 1 commit
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Xiaoli Wang authored
* Fix TypeError: Object of type int64 is not JSON serializable * Convert numpy.float64 and numpy.int64 to float and int for json serialization * Black reformatted examples/pytorch/token-classification/run_ner_no_trainer.py * * make style
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- 16 Jun, 2023 3 commits
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Matt authored
* Add test for proper input signatures * No more signature pruning * Test the dummy inputs are valid too * fine-tine -> fine-tune * Fix indent in test_dataset_conversion
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Matt authored
* Fix one BLIP arg not being optional, remove misspelled arg * Remove the lxmert test overrides and just use the base test_saved_model_creation * saved_model_creation fixes and re-enabling tests across the board * Remove unnecessary skip * Stop caching sinusoidal embeddings in speech_to_text * Fix transfo_xl compilation * Fix transfo_xl compilation * Fix the conditionals in xglm * Set the save spec only when building * Clarify comment * Move comment correctly * Correct embeddings generation for speech2text * Mark RAG generation tests as @slow * Remove redundant else: * Add comment to clarify the save_spec line in build() * Fix size tests for XGLM at last! * make fixup * Remove one band_part operation * Mark test_keras_fit as @slow
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Matt authored
* Revert whisper change and modify the test_compile_tf_model test * make fixup * Tweak test slightly * Add functional model saving to test * Ensure TF can infer shapes for data2vec * Add override for efficientformer * Mark test as slow
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- 15 Jun, 2023 1 commit
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Sylvain Gugger authored
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- 13 Jun, 2023 2 commits
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Matt authored
* Stop storing references to bound methods in tf.functions * Remove the gc.collect calls now that we resolved the underlying problem * Remove the default signature from model.serving entirely, big cleanup * Remove _prune_signature as self.input_signature can prune itself * Restore serving docstring * Update int support test to check the input signature * Make sure other tests also use model.input_signature and not serving.input_signature * Restore _prune_signature * Remove the doctest GC now it's no longer needed * Correct core tests to use the pruned sig * order lines correctly in core tests * Add eager_serving back with a deprecation warning
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Joao Gante authored
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- 06 Jun, 2023 1 commit
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Matt authored
* A fun new PR where I break the entire codebase again * A fun new PR where I break the entire codebase again * Handle cross-attention * Move calls to model(model.dummy_inputs) to the new build() method * Seeing what fails with the build context thing * make fix-copies * Let's see what fails with new build methods * Fix the pytorch crossload build calls * Fix the overridden build methods in vision_text_dual_encoder * Make sure all our build methods set self.built or call super().build(), which also sets it * make fix-copies * Remove finished TODO * Tentatively remove unneeded (?) line * Transpose b in deberta correctly and remove unused threading local * Get rid of build_with_dummies and all it stands for * Rollback some changes to TF-PT crossloading * Correctly call super().build()
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- 24 May, 2023 2 commits
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Matt authored
* Let's try autodetecting serving sigs * Don't clobber existing sigs * Change shapes for multiplechoice models * Make default dummy inputs smarter too * Fix missing f-string * Let's YOLO a serving output too * Read __class__.__name__ properly * Don't just pass naked lists in there and expect it to be okay * Code cleanup * Update default serving sig * Clearer error messages * Further updates to the default serving output * make fixup * Update the serving output a bit more * Cleanups and renames, raise errors appropriately when we can't infer inputs * More renames * we're building in a functional context again, yolo * import DUMMY_INPUTS from the right place * import DUMMY_INPUTS from the right place * Support cross-attention in the dummies * Support cross-attention in the dummies * Complete removal of dummy/serving overrides in BERT * Complete removal of dummy/serving overrides in RoBERTa * Obliterate lots and lots of serving sig and dummy overrides * merge type hint changes * Fix for token_type_ids with vocab_size 1 * Add missing property decorator * Fix T5 and hopefully some models that take conv inputs * More signature pruning * Fix T5's signature * Fix Wav2Vec2 signature * Fix LongformerForMultipleChoice input signature * Fix BLIP and LED * Better default serving output error handling * Fix BART dummies * Fix dummies for cross-attention, esp encoder-decoder models * Fix visionencoderdecoder signature * Fix BLIP serving output * Small tweak to BART dummies * Cleanup the ugly parameter inspection line that I used in a few places * committed a breakpoint again * Move the text_dims check * Remove blip_text serving_output * Add decoder_input_ids to the default input sig * Remove all the manual overrides for encoder-decoder model signatures * Tweak longformer/led input sigs * Tweak default serving output * output.keys() -> output * make fixup
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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
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- 28 Apr, 2023 1 commit
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Yih-Dar authored
* fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 24 Apr, 2023 1 commit
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Lucain authored
* Test hf_hub 0.14.0rc1 * fix mocked tests * package version --------- Co-authored-by:
Sylvain Gugger <Sylvain.gugger@gmail.com> Co-authored-by:
testbot <lucainp@hf.co>
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- 04 Apr, 2023 2 commits
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Matt authored
* Fix inverted conditional in TF common test! * Make the same change in the PT tests file * Make sure hidden states for GPT2 have the same output shape in PT/TF * Minor fix to PT implementation of token classification loss * Skip loss equivalence test for TFHubert because it keeps overflowing to inf * Compute LM loss for TF the (weird) way it's computed in PT * Skip loss equivalence test for Wav2Vec2 for the same reason as Hubert * Fix - don't try to access the hidden states property when output is a tuple
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Matt authored
* Initial commit * more stash commit * Yet another stash commit * yet more stash commit * Mostly working except for docs / repo consistency * Stop importing model list from torch file * Add TF BLIP models to docs * Add auto classes * Move get_text_features and get_image_features * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blip/test_modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/blip/test_modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update tests/models/blip/test_modeling_tf_blip_text.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use channels_last convolutions in TF (better performance + compatibility) * Remove _shape function * Move multi-line statement to one line in PT + TF * Specify tf.keras.layers instead of importing from it * Remove test_gradient_checkpointing and empty test_training methods * move some multi-line statements to one line * Update docstring for generate * Remove pruned heads set * Remove self.seq_len_dim * Fixed issues with loss computation, should resolve some tests. Also ensured that the PT version follows the config for output_attentions and output_hidden_states * ensure original model follows config in more cases * Skip the same cross-attention tests in the PT tests - didn't realize we did it twice! * Add training args throughout the models and layers * make fixup * Fix docstring for inputs_embeds * Add docstring for is_decoder * Add docstrings to text models * Remove redundant computation * Add unpack_inputs / keras_serializable * Add modeling_tf_blip to doctests * Add config classes for keras serialization * Changes to allow model porting with pt-to-tf * Quick fix to decoder head and test tweaks * Revert an issue with masking the embeddings outputs * Allow missing keys in some equivalence tests (for unused layers) * Add tf-pt equivalence tests back in * Update src/transformers/models/blip/modeling_tf_blip.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/models/blip/modeling_tf_blip_text.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make fixup * Refactor invert_attention_mask out into tf_utils * Re-enable cross-tests on the PT side too --------- Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 09 Mar, 2023 1 commit
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Lucain authored
* Remove set_access_token usage + fail tests if FutureWarning * do not fail on FutureWarning in CI --------- Co-authored-by:testbot <lucainp@hf.co>
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- 07 Mar, 2023 1 commit
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Arthur authored
* add create pr arg * style * add test * ficup * update test * last nit fix typo * add `is_pt_tf_cross_test` marker for the tsts
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- 28 Feb, 2023 1 commit
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Matt authored
* First commit for the improved PT-TF weight loading * Remove workarounds from TFEncoderDecoder tests * Allow a custom weight renaming function in from_pretrained and use that to clean up EncoderDecoder * make fixup * First attempt at visionencoderdecoder * Disable tensorfloat32 in tests to get consistent outputs * Quick fix to tf_vision_encoder_decoder tests * make fixup * Update Blenderbot tests * Remove unused arg in modeling_tf_opt * load_tf_sharded_weights had strict=True! This meant transfer learning was impossible, so I'm setting it to False. * Support prefixes when loading sharded TF checkpoints * make fixup * Add test to load sharded models with a weight prefix * Fix sharded weight loading test * Add a test for transfer from a sharded checkpoint * make fixup * Add test to check that crossloading from PT with a prefix works * Refactor from_pretrained in the encoderdecoder classes * Refactor from_pretrained in the encoderdecoder classes * missmatched -> mismatched * Explicitly check for None * No comments showing my very impressive and attractive knowledge of Py3.9+ * Disable TF32 across all TF tests
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- 22 Feb, 2023 1 commit
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Aaron Gokaslan authored
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- 06 Feb, 2023 1 commit
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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
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- 31 Jan, 2023 1 commit
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Joao Gante authored
Generate: fix TF XLA tests on models with `max_position_embeddings` or `max_target_positions` (#21389)
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- 23 Jan, 2023 1 commit
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Joao Gante authored
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- 18 Jan, 2023 1 commit
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 04 Jan, 2023 1 commit
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Joao Gante authored
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- 14 Dec, 2022 1 commit
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NielsRogge authored
* Improve tests * Improve TF tests * Apply suggestion * Fix test Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 05 Dec, 2022 1 commit
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Arthur authored
* add support for `from_pt` * add tf_flax utility file * Update src/transformers/modeling_tf_flax_utils.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove flax related modifications * add test * remove FLAX related commits * fixup * remove safetensor todos * revert deletion Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 28 Nov, 2022 1 commit
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Matt authored
* Add a test to ensure int dummy inputs are int64 * Move the test into the existing int64 test and update a lot of existing dummies * Fix remaining dummies * Fix remaining dummies * Test for int64 serving sigs as well * Update core tests to use tf.int64 * Add better messages to the assertions * Update all serving sigs to int64 * More sneaky hiding tf.int32s * Add an optional int32 signature in save_pretrained * make fixup * Add Amy's suggestions * Switch all serving sigs back to tf.int32 * Switch all dummies to tf.int32 * Adjust tests to check for tf.int32 instead of tf.int64 * Fix base dummy_inputs dtype * Start casting to tf.int32 in input_processing * Change dtype for unpack_inputs test * Add proper tf.int32 test * Make the alternate serving signature int64
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- 22 Nov, 2022 1 commit
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Joao Gante authored
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- 17 Nov, 2022 2 commits
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Joao Gante authored
* move contrastive search test to slow
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Joao Gante authored
* test hub tf callback * create repo before cloning it
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- 15 Nov, 2022 1 commit
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Matt authored
* Slightly alter Keras dummy loss * Slightly alter Keras dummy loss * Add sample weight to test_keras_fit * Fix test_keras_fit for datasets * Skip the sample_weight stuff for models where the model tester has no batch_size
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- 09 Nov, 2022 1 commit
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Joao Gante authored
* move generation_*.py src files into generation/*.py * populate generation.__init__ with lazy loading * move imports and references from generation.xxx.object to generation.object
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- 07 Nov, 2022 1 commit
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Joao Gante authored
* Add contrastive search
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- 27 Oct, 2022 1 commit
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Sylvain Gugger authored
* Wip * Add safetensors support for TensorFlow * First tests * Add final test for now * Retrigger CI like this * Update src/transformers/modeling_tf_utils.py Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr> Co-authored-by:
Lysandre Debut <lysandre.debut@reseau.eseo.fr>
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- 18 Oct, 2022 1 commit
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David Yang authored
* Clean up deprecation warnings Notes: Changed some strings in tests to raw strings, which will change the literal content of the strings as they are fed into whatever machine handles them. Test cases for past in the past/past_key_values switch changed/removed due to warning of impending removal * Add PILImageResampling abstraction for PIL.Image.Resampling
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- 14 Oct, 2022 1 commit
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Arthur authored
* simplify loop * fix layer map split * update * update for special variables * add rag test * fixup * revert change : for next PR
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