"tensorflow_code/modeling.py" did not exist on "f8276008dfaa736a89eae2c9a1bd515841159383"
- 01 Feb, 2024 2 commits
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Yih-Dar authored
fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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JB (Don) authored
* Adding [T5/MT5/UMT5]ForTokenClassification * Add auto mappings for T5ForTokenClassification and variants * Adding ForTokenClassification to the list of models * Adding attention_mask param to the T5ForTokenClassification test * Remove outdated comment in test * Adding EncoderOnly and Token Classification tests for MT5 and UMT5 * Fix typo in umt5 string * Add tests for all the existing MT5 models * Fix wrong comment in dependency_versions_table * Reverting change to common test for _keys_to_ignore_on_load_missing The test is correctly picking up redundant keys in _keys_to_ignore_on_load_missing. * Removing _keys_to_ignore_on_missing from MT5 since the key is not used in the model * Add fix-copies to MT5ModelTest
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- 31 Jan, 2024 13 commits
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Shichao Song authored
[docs] Correct the statement in the docstirng of compute_transition_scores in generation/utils.py (#28786)
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Yih-Dar authored
* update / add new workflow files * Add comment * Use env.NUM_SLICES * use scripts * use scripts * use scripts * Fix * using one script * Fix * remove unused file * update * fail-fast: false * remove unused file * fix * fix * use matrix * inputs * style * update * fix * fix * no model name * add doc * allow args * style * pass argument --------- Co-authored-by: -
Yih-Dar authored
* avoid using job name * apply to other files --------- Co-authored-by: -
Joao Gante authored
DeepSpeed: hardcode `torch.arange` dtype on `float` usage to avoid incorrect initialization (#28760)
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Kian Sierra McGettigan authored
* direct copy from llama work * mistral modules forward pass working * flax mistral forward pass with sliding window * added tests * added layer collection approach * Revert "added layer collection approach" This reverts commit 0e2905bf2236ec323163fc1a9f0c016b21aa8b8f. * Revert "Revert "added layer collection approach"" This reverts commit fb17b6187ac5d16da7c461e1130514dc3d137a43. * fixed attention outputs * added mistral to init and auto * fixed import name * fixed layernorm weight dtype * freeze initialized weights * make sure conversion consideres bfloat16 * added backend * added docstrings * added cache * fixed sliding window causal mask * passes cache tests * passed all tests * applied make style * removed commented out code * applied fix-copies ignored other model changes * applied make fix-copies * removed unused functions * passed generation integration test * slow tests pass * fixed slow tests * changed default dtype from jax.numpy.float32 to float32 for docstring check * skip cache test for FlaxMistralForSequenceClassification since if pad_token_id in input_ids it doesn't score previous input_ids * updated checkpoint since from_pt not included * applied black style * removed unused args * Applied styling and fixup * changed checkpoint for doc back * fixed rf after adding it to hf hub * Add dummy ckpt * applied styling * added tokenizer to new ckpt * fixed slice format * fix init and slice * changed ref for placeholder TODO * added copies from Llama * applied styling * applied fix-copies * fixed docs * update weight dtype reconversion for sharded weights * removed Nullable input ids * Removed unnecessary output attentions in Module * added embedding weight initialziation * removed unused past_key_values * fixed deterministic * Fixed RMS Norm and added copied from * removed input_embeds * applied make style * removed nullable input ids from sequence classification model * added copied from GPTJ * added copied from Llama on FlaxMistralDecoderLayer * added copied from to FlaxMistralPreTrainedModel methods * fix test deprecation warning * freeze gpt neox random_params and fix copies * applied make style * fixed doc issue * skipped docstring test to allign # copied from * applied make style * removed FlaxMistralForSequenceClassification * removed unused padding_idx * removed more sequence classification * removed sequence classification * applied styling and consistency * added copied from in tests * removed sequence classification test logic * applied styling * applied make style * removed freeze and fixed copies * undo test change * changed repeat_kv to tile * fixed to key value groups * updated copyright year * split casual_mask * empty to rerun failed pt_flax_equivalence test FlaxWav2Vec2ModelTest * went back to 2023 for tests_pr_documentation_tests * went back to 2024 * changed tile to repeat * applied make style * empty for retry on Wav2Vec2
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Matt authored
* Shim the Keras methods to support BatchEncoding * Extract everything to a convert_batch_encoding function * Convert BatchFeature too (thanks Amy) * tf.keras -> keras
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Julien Chaumond authored
* canonical repos moves * Style --------- Co-authored-by:Lysandre <lysandre@huggingface.co>
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Hieu Lam authored
* fix: resolve deepspeed resume peft model issues * chore: update something * chore: update model instance pass into is peft model checks * chore: remove hard code value to tests * fix: format code
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Patrick von Platen authored
* up * Fix more * Correct more * Fix more tests * fix fast tests * Fix more * fix more * push all files * finish all * make style * Fix timestamp wrap * make style * make style * up * up * up * Fix lang detection behavior * Fix lang detection behavior * Add lang detection test * Fix lang detection behavior * make style * Update src/transformers/models/whisper/generation_whisper.py Co-authored-by:
Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com> * better error message * make style tests * add warning --------- Co-authored-by:
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Younes Belkada authored
remove `check_packages_compatibility` logic
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tom-p-reichel authored
* test that tied output embeddings aren't initialized on load * don't initialize the output embeddings if we're going to tie them to the input embeddings
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Alessio Serra authored
Modified MLflow logging metrics from synchronous to asynchronous Co-authored-by:codiceSpaghetti <alessio.ser@hotmail.it>
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Younes Belkada authored
fix bnb slow tests
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- 30 Jan, 2024 11 commits
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Matt authored
* Pin torch to <2.2.0 * Pin torchvision and torchaudio as well * Playing around with versions to see if this helps * twiddle something to restart the CI * twiddle it back * Try changing the natten version * make fixup * Revert "Try changing the natten version" This reverts commit de0d6592c35dc39ae8b5a616c27285db28262d06. * make fixup * fix fix fix * fix fix fix --------- Co-authored-by: -
Matt authored
* Port core files + ESM (because ESM code is odd) * Search-replace in modelling code * Fix up transfo_xl as well * Fix other core files + tests (still need to add correct import to tests) * Fix cookiecutter * make fixup, fix imports in some more core files * Auto-add imports to tests * Cleanup, add imports to sagemaker tests * Use correct exception for importing tf_keras * Fixes in modeling_tf_utils * make fixup * Correct version parsing code * Ensure the pipeline tests correctly revert to float32 after each test * Ensure the pipeline tests correctly revert to float32 after each test * More tf.keras -> keras * Add dtype cast * Better imports of tf_keras * Add a cast for tf.assign, just in case * Fix callback imports
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amyeroberts authored
* Abstract out pipeline init args * Address PR comments * Reword * BC PIPELINE_INIT_ARGS * Remove old arguments * Small fix
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amyeroberts authored
* Enable instantiating model with pretrained backbone weights * Remove doc updates until changes made in modeling code * Use load_backbone instead * Add use_timm_backbone to the model configs * Add missing imports and arguments * Update docstrings * Make sure test is properly configured * Include recent DPT updates
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Yih-Dar authored
fix Co-authored-by: -
fxmarty authored
guard sdpa on torch>=2.0
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Thien Tran authored
* use conv for tdnn * run make fixup * update TDNN * add PEFT LoRA check * propagate tdnn warnings to others * add missing imports * update TDNN in wav2vec2_bert * add missing imports
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Younes Belkada authored
Update _toctree.yml
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Poedator authored
* squashed earlier commits for easier rebase * rm rebase leftovers * 4bit save enabled @quantizers * TMP gptq test use exllama * fix AwqConfigTest::test_wrong_backend for A100 * quantizers AWQ fixes * _load_pretrained_model low_cpu_mem_usage branch * quantizers style * remove require_low_cpu_mem_usage attr * rm dtype arg from process_model_before_weight_loading * rm config_origin from Q-config * rm inspect from q_config * fixed docstrings in QuantizationConfigParser * logger.warning fix * mv is_loaded_in_4(8)bit to BnbHFQuantizer * is_accelerate_available error msg fix in quantizer * split is_model_trainable in bnb quantizer class * rm llm_int8_skip_modules as separate var in Q * Q rm todo * fwd ref to HFQuantizer in type hint * rm note re optimum.gptq.GPTQQuantizer * quantization_config in __init__ simplified * replaced NonImplemented with create_quantized_param * rm load_in_4/8_bit deprecation warning * QuantizationConfigParser refactoring * awq-related minor changes * awq-related changes * awq config.modules_to_not_convert * raise error if no q-method in q-config in args * minor cleanup * awq quantizer docstring * combine common parts in bnb process_model_before_weight_loading * revert test_gptq * .process_model_ cleanup * restore dict config warning * removed typevars in quantizers.py * cleanup post-rebase 16 jan * QuantizationConfigParser classmethod refactor * rework of handling of unexpected aux elements of bnb weights * moved q-related stuff from save_pretrained to quantizers * refactor v1 * more changes * fix some tests * remove it from main init * ooops * Apply suggestions from code review Co-authored-by:
Marc Sun <57196510+SunMarc@users.noreply.github.com> * fix awq issues * fix * fix * fix * fix * fix * fix * add docs * Apply suggestions from code review Co-authored-by:
Steven Liu <59462357+stevhliu@users.noreply.github.com> Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Apply suggestions from code review Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
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Zhan Ling authored
Add _no_split_modules to CLIPModel
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Omar Sanseviero authored
* Update quantization_config.py * Style * Protect from setting directly * add tests * Update tests/quantization/bnb/test_4bit.py Co-authored-by:
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- 29 Jan, 2024 13 commits
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ThibaultLengagne authored
* doc: french README Signed-off-by:
ThibaultLengagne <thibaultl@padok.fr> * doc: Add Depth Anything Signed-off-by:
Sarapuce <alexandreh@padok.fr>
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Ajay Patel authored
* Update trainer.py * Revert "Update trainer.py" This reverts commit 0557e2cc9effa3a41304322032239a3874b948a7. * Make trainer.py use adapter_only=True when using FSDP + PEFT * Support load_best_model with adapter_only=True * Ruff format * Inspect function args for save_ load_ fsdp utility functions and only pass adapter_only=True if they support it
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Sanchit Gandhi authored
* [Whisper] Make tokenizer normalization public * add to docs
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xkszltl authored
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amyeroberts authored
* Make test_constrained_beam_search_generate as flaky * Update tests/generation/test_utils.py
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amyeroberts authored
* Pin pytest version <8.0.0 * Update setup.py * make deps_table_update
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Julien Chaumond authored
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Nate Cibik authored
* Enabled gradient checkpointing in Deformable DETR * Enabled gradient checkpointing in Deformable DETR encoder * Removed # Copied from headers in modeling_deta.py to break dependence on Deformable DETR code
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Wesley Gifford authored
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馃悰 fix .max bug * remove prediction_length from regression output dimensions * fix parameter names, fix output names, update tests * ensure shape for PatchTST * ensure output shape for PatchTSMixer * update model, batch, and expected for regression distribution test * update test expected Signed-off-by:Wesley M. Gifford <wmgifford@us.ibm.com> * Update tests/models/patchtst/test_modeling_patchtst.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Update tests/models/patchtst/test_modeling_patchtst.py Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com> Co-authored-by:
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Vinyzu authored
* [Docs] Fix Typo in English CLIP model_doc * [Docs] Fix Typo in Japanese CLIP model_doc
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Klaus Hipp authored
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Yih-Dar authored
* fix * fix * Fix --------- Co-authored-by: -
Angela Yi authored
* Add serialized type name to pytrees * Modify context * add serde test
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- 28 Jan, 2024 1 commit
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amyeroberts authored
[Siglip] protect from imports if sentencepiece not installed
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