- 20 Dec, 2023 2 commits
-
-
Yih-Dar authored
* fix --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
-
peter-sk authored
* move code to Trainer.evaluate to enable use of that function with multiple datasets * test * update doc string * and a tip * forgot the type --------- Co-authored-by:Prof. Peter Schneider-Kamp <jps@ordbogen.com>
-
- 19 Dec, 2023 2 commits
-
-
Arthur authored
* default config should not use sliding window * update the doc * nits * add a proper test * update * update * update expected value * Update src/transformers/tokenization_utils_fast.py Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> * convert to float * average then N**2 * comment * revert nit * good to fo * fixup * Update tests/models/mixtral/test_modeling_mixtral.py Co-authored-by:
Lysandre Debut <hi@lysand.re> * revert unrelated change --------- Co-authored-by:
-
amyeroberts authored
-
- 18 Dec, 2023 1 commit
-
-
Matt authored
* More build_in_name_scope() * Make sure we set the save spec now we don't do it with dummies anymore * make fixup
-
- 17 Dec, 2023 1 commit
-
-
Poedator authored
* edits to _prepare_4d_causal_attention_mask() * initial tests for 4d mask * attention_mask_for_sdpa support * added test for inner model hidden * added autotest decorators * test mask dtype to torch.int64 * torch.testing.assert_close Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * torch_device and @torch_gpu in tests * upd tests * +torch decorators * torch decorators fixed * more decorators! * even more decorators * fewer decorators --------- Co-authored-by:
-
- 16 Dec, 2023 1 commit
-
-
Sourab Mangrulkar authored
* fix resuming from ckpt when suing FSDP with FULL_STATE_DICT * update tests * fix tests
-
- 15 Dec, 2023 3 commits
-
-
Quentin Lhoest authored
* fix hf-internal-testing/fixtures_image_utils * fix test * comments
-
Yoach Lacombe authored
* skip test from SpeechInput * refine description of skip
-
Younes Belkada authored
* fix fa-2 issue * fix test * Update src/transformers/modeling_utils.py Co-authored-by:
fxmarty <9808326+fxmarty@users.noreply.github.com> * clenaer fix * up * add more robust tests * Update src/transformers/modeling_utils.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * pop * add test --------- Co-authored-by:
-
- 14 Dec, 2023 5 commits
-
-
Matt authored
Replace build() with build_in_name_scope() for some tests
-
Matt authored
* Add a convenience method for building in your own name scope * Second attempt at auto layer building * Revert "Second attempt at auto layer building" This reverts commit e03a3aaecf9ec41a805582b83cbdfe3290a631be. * Attempt #3 * Revert "Attempt #3" This reverts commit b9df7a0857560d29b5abbed6127d9e9eca77cf47. * Add missing attributes that we're going to need later * Add some attributes we're going to need later * A fourth attempt! Feel the power flow through you! * Revert "A fourth attempt! Feel the power flow through you!" This reverts commit 6bf4aaf3875d6f28485f50187617a4c616c8aff7. * Add more values we'll need later * TF refactor that we'll need later * Revert "TF refactor that we'll need later" This reverts commit ca07202fb5b7b7436b893baa8d688b4f348ea7b9. * Revert "Revert "TF refactor that we'll need later"" This reverts commit 1beb0f39f293ed9c27594575e1c849aadeb15c13. * make fixup * Attempt five! * Revert "Attempt five!" This reverts commit 3302207958dfd0374b0447a51c06eea51a506044. * Attempt six - this time don't add empty methods * Revert "Attempt six - this time don't add empty methods" This reverts commit 67d60129be75416b6beb8f47c7d38d77b18d79bb. * Attempt seven - better base model class detection! * Revert "Attempt seven - better base model class detection!" This reverts commit 5f14845e92ea0e87c598da933bfbfee10f553bc9. * Another attribute we'll need later * Try again with the missing attribute! * Revert "Try again with the missing attribute!" This reverts commit 760c6f30c5dffb3e04b0e73c34a77d1882a0fef7. * This is the attempt that will pierce the heavens! * Revert "This is the attempt that will pierce the heavens!" This reverts commit c868bb657de057aca7a5260350a3f831fc4dfee6. * Attempt seven - snag list is steadily decreasing * Revert "Attempt seven - snag list is steadily decreasing" This reverts commit 46fbd975deda64429bfb3e5fac4fc0370c00d316. * Attempt eight - will an empty snag list do it? * Revert "Attempt eight - will an empty snag list do it?" This reverts commit 7c8a3c2b083253649569e9877e02054ae5cec67b. * Fixes to Hubert issues that cause problems later * Trying again with Conv1D/SeparableConv fixes * Revert "Trying again with Conv1D/SeparableConv fixes" This reverts commit 55092bca952bc0f750aa1ffe246a640bf1e2036e. * Apply the build shape fixes to Wav2Vec2 as well * One more attempt! * Revert "One more attempt!" This reverts commit 5ac3e4cb01b9458cc93312873725f9444ae7261c. * Another attempt! * Revert "Another attempt!" This reverts commit ea16d890e019d7de8792a3b8e72f3b1c02adae50. * Let's see how many failures we get without the internal build method * Fix OpenAI * Fix MobileBERT * (Mostly) fix GroupVIT * Fix BLIP * One more BLIP fix * One more BLIP fix! * Fix Regnet * Finally fully fix GroupViT * Fix Data2Vec and add the new AdaptivePool * Fix Segformer * Fix Albert * Fix Deberta/DebertaV2 * Fix XLM * Actually fix XLM * Fix Flaubert * Fix lxmert * Fix Resnet * Fix ConvBERT * Fix ESM * Fix Convnext / ConvnextV2 * Fix SAM * Fix Efficientformer * Fix LayoutLMv3 * Fix speech_to_text * Fix mpnet and mobilevit * Fix Swin * Fix CTRL * Fix CVT * Fix DPR * Fix Wav2Vec2 * Fix T5 * Fix Hubert * Fix GPT2 * Fix Whisper * Fix DeiT * Fix the encoder-decoder / dual-encoder classes * make fix-copies * build in name scope * Fix summarization test * Fix tied weight names for BART + Blenderbot * Fix tied weight name building * Fix to TFESM weight building * Update TF SAM * Expand all the shapes out into Big Boy Shapes
-
Yoach Lacombe authored
* correct language assessment + add tests * Update src/transformers/models/seamless_m4t_v2/modeling_seamless_m4t_v2.py Co-authored-by:
-
Joao Gante authored
-
Joao Gante authored
generate refactor
-
- 13 Dec, 2023 4 commits
-
-
Zach Mueller authored
* Fix bug * Write test * Keep back old modification for grad accum steps * Whitespace... * Whitespace again * Race condition * Wait for everyone
-
Arthur authored
* fix expected values * style * test is slow
-
Arindam Jati authored
* fix slow tests * revert formatting --------- Co-authored-by:
Arindam Jati <arindam.jati@ibm.com> Co-authored-by:
Kashif Rasul <kashif.rasul@gmail.com>
-
Younes Belkada authored
* v1 * add-new-model-like * revert * fix forward and conversion script * revert * fix copies * fixup * fix * Update docs/source/en/index.md * Apply suggestions from code review * push * fix * fixes here and there * up * fixup and fix tests * Apply suggestions from code review * add docs * fixup * fixes * docstring * add docstring * fixup * docstring * fixup * nit * docs * more copies * fix copies * nit * update test
-
- 11 Dec, 2023 9 commits
-
-
rjenc29 authored
* fix a typo and add an illustrative test * appease black * reduce code duplication and add Annotion type back with a pending deprecation warning * remove unused code * change warning type * black formatting fix * change enum deprecation approach to support 3.8 and earlier * add stacklevel * fix black issue * fix ruff issues * fix ruff issues * move tests to own mixin * include yolos * fix black formatting issue * fix black formatting issue * use logger instead of warnings and include target version for deprecation
-
Ella Charlaix authored
* add deepspeed scheduled test for amd * fix image * add dockerfile * add comment * enable tests * trigger * remove trigger for this branch * trigger * change runner env to trigger the docker build image test * use new docker image * remove test suffix from docker image tag * replace test docker image with original image * push new image * Trigger * add back amd tests * fix typo * add amd tests back * fix * comment until docker image build scheduled test fix * remove deprecated deepspeed build option * upgrade torch * update docker & make tests pass * Update docker/transformers-pytorch-deepspeed-amd-gpu/Dockerfile * fix * tmp disable test * precompile deepspeed to avoid timeout during tests * fix comment * trigger deepspeed tests with new image * comment tests * trigger * add sklearn dependency to fix slow tests * enable back other tests * final update --------- Co-authored-by:
Felix Marty <felix@hf.co> Co-authored-by:
-
Zach Mueller authored
* Fix test for multi-GPU * WIth CPU handle
-
Arthur authored
* up * up * test * logits ok * up * up * few fixes * conversion script * up * nits * nits * update * nuke * more updates * nites * fix many issues * nit * scatter * nit * nuke megablocks * nits * fix conversion script * nit * remove * nits * nit * update * oupsssss * change * nits device * nits * fixup * update * merge * add copied from * fix the copy mentions * update tests * more fixes * nits * conversion script * add parts of the readme * Update tests/models/mixtral/test_modeling_mixtral.py Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
-
Arthur authored
* Skip nn.Module.reset_parameters * Actually skip * Check quality * Maybe change all inits * Fix init issues: only modify public functions * Add a small test for now * Style * test updates * style * nice tes * style * make it even faster * one more second * remove fx icompatible * Update tests/test_modeling_common.py Co-authored-by:
-
fxmarty authored
fix sdpa dispatch
-
Yoach Lacombe authored
change dtype of some integration tests
-
Yih-Dar authored
fix Co-authored-by: -
Sangbum Daniel Choi authored
* [DETA] fix freeze/unfreeze function * Update src/transformers/models/deta/modeling_deta.py Co-authored-by:
-
- 08 Dec, 2023 10 commits
-
-
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:
-
Joao Gante authored
-
Zach Mueller authored
* Fuffill request * Add test * Better test * Apply suggestions from code review Co-authored-by:
-
Yih-Dar authored
* fix * fix * fix * fix * fix --------- Co-authored-by: -
Yih-Dar authored
fix Co-authored-by: -
Xin Qiu authored
* Fix issues in add and is_done for BeamHypotheses * make newly added arguments optional for better compatibility * Directly use cur_len as generated_len, add note for retrocompatibility * update test expectation * make cur_len represents the length of the entire sequence including the decoder prompt * remove redundant if/else in testing
-
Jonathon Belotti authored
-
Saibo-creator authored
Fix: Raise informative exception when `prefix_allowed_tokens_fn` return empty set of tokens (#27797) Co-authored-by: -
fxmarty authored
[
⚠ ️ removed a default argument] Make `AttentionMaskConverter` compatible with `torch.compile(..., fullgraph=True)` (#27868) * remove bugged torch.float32 default * add test * fix tests * fix test * fix doc -
Tom Aarsen authored
* Draft version of new KV Caching This should allow Attention Sinks (https://github.com/tomaarsen/attention_sinks) / StreamingLLM (https://arxiv.org/abs/2309.17453) to be easily implemented in a third-party or in transformers directly * Address numerous PR suggestions 1. Move layer_idx from cache to ...Attention. Removes confusing set_layer_idx magic. 2. Always convert past_key_values to Cache instance at the start of ...Attention, removes all other isinstance calls. 3. Remove __bool__ and __getitem__ magic as they're confusing. 4. past_key_values.update(key, value, idx) now returns key, value. 5. Add use_legacy_cache flag, defaults to None, i.e. Falsey. This breaks generate for now, until 1) the cache is used is generate() or 2) use_legacy_cache is defaulted to True in generate() until we change it in another PR. 6. Separate key_cache and value_cache. Some work is still needed to see if the SinkCache can conveniently be implemented with just one update method. * Implement the SinkCache through backward+forward rotations * Integrate (Sink)Cache with Llama FA2 * Set use_legacy_cache=True as default, allows for test passes * Move from/to_legacy_cache to ...Model class * Undo unnecessary newline change * Remove copy utility from deprecated OpenLlama * Match import style * manual rebase with main * Cache class working with generate (#1) * Draft version of new KV Caching This should allow Attention Sinks (https://github.com/tomaarsen/attention_sinks) / StreamingLLM (https://arxiv.org/abs/2309.17453 ) to be easily implemented in a third-party or in transformers directly * Address numerous PR suggestions 1. Move layer_idx from cache to ...Attention. Removes confusing set_layer_idx magic. 2. Always convert past_key_values to Cache instance at the start of ...Attention, removes all other isinstance calls. 3. Remove __bool__ and __getitem__ magic as they're confusing. 4. past_key_values.update(key, value, idx) now returns key, value. 5. Add use_legacy_cache flag, defaults to None, i.e. Falsey. This breaks generate for now, until 1) the cache is used is generate() or 2) use_legacy_cache is defaulted to True in generate() until we change it in another PR. 6. Separate key_cache and value_cache. Some work is still needed to see if the SinkCache can conveniently be implemented with just one update method. * Integrate (Sink)Cache with Llama FA2 * Move from/to_legacy_cache to ...Model class * Undo unnecessary newline change * Match import style * working generate * Add tests; Simplify code; Apply changes to Mistral and Persimmon * fix rebase mess * a few more manual fixes * last manual fix * propagate changes to phi * upgrade test * add use_legacy_cache docstring; beef up tests * reintroduce unwanted deletes --------- Co-authored-by:
Tom Aarsen <Cubiegamedev@gmail.com> * move import * add default to model_kwargs.get('use_legacy_cache') * correct failing test * Apply suggestions from code review Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * apply PR suggestions * fix failing test * Apply suggestions from code review Co-authored-by:
Tom Aarsen <37621491+tomaarsen@users.noreply.github.com> * PR comments * tmp commit * add docstrings * more tests, more docstrings, add to docs * derp * tmp commit * tmp dbg * more dbg * fix beam search bug * cache can be a list of tuples in some models * fix group beam search * all but sinkcache integration tests * fix sink cache and add hard integration test * now also compatible with input_embeds input * PR comments * add Cache support to Phi+FA2 * make fixup --------- Co-authored-by:
Joao Gante <joao@huggingface.co> Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
-
- 07 Dec, 2023 2 commits
-
-
Matt authored
* Un-skip tests * Add aliasing support to tf_to_pt_weight_rename * Refactor tf-to-pt weight rename for simplicity * Patch mobilebert * Let us pray that the transfo-xl one works * Add XGLM rename * Expand the test to see if we can get more models to break * Expand the test to see if we can get more models to break * Fix MPNet (it was actually an unrelated bug) * Fix MPNet (it was actually an unrelated bug) * Add speech2text fix * Update src/transformers/modeling_tf_pytorch_utils.py Co-authored-by:
-
fxmarty authored
fix device of mask in tests
-
