- 24 Jun, 2022 4 commits
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rooa authored
* Add CodeGen model * Add missing key and switch order of super() * Fix torch.ones init with uint8 instead of bool * Address comments: copy statements and doc * update tests * remove old model parallel * fix batch gen tests * fix batch gen test * update test_gpt2_sample_max_time * fix codgen test and revert gpt2 test change * Fix incorrect tie_word_embedding value, typo, URL * Fix model order in README and styling * Reorder model list alphabetically * Set tie_word_embedding to False by default * Apply suggestions from code review * Better attn mask name & remove attn masked_bias * add tokenizer for codegen * quality * doc tokenizer * fix-copies * add CodeGenTokenizer in converter * make truncation optional * add test for truncation * add copyright * fix-copies * fix fast tokenizer decode * Update src/transformers/models/codegen/tokenization_codegen.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * increase vocab_size in tests Co-authored-by:
patil-suraj <surajp815@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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Yih-Dar authored
* fix Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Suraj Patil authored
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NielsRogge authored
* Improve vision models * Add a lot of improvements * Remove to_2tuple from swin tests * Fix TF Swin * Fix more tests * Fix copies * Improve more models * Fix ViTMAE test * Add channel check for TF models * Add proper channel check for TF models * Apply suggestion from code review * Apply suggestions from code review * Add channel check for Flax models, apply suggestion * Fix bug * Add tests for greyscale images * Add test for interpolation of pos encodigns Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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- 23 Jun, 2022 4 commits
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Sijun He authored
* wip * rebase * all tests pass * rebase * ready for PR * address comments * fix styles * add require_torch to pipeline test * remove remote image to improve CI consistency * address comments; fix tf/flax tests * address comments; fix tf/flax tests * fix tests; add alias * repo consistency tests * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * address comments * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * merge * wip * wip * wip * most basic tests passes * all tests pass now * relative embedding * wip * running make fixup * remove bert changes * fix doc * fix doc * fix issues * fix doc * address comments * fix CI * remove redundant copied from * address comments * fix broken test Co-authored-by:
Sijun He <sijunhe@Sijuns-MacBook-Pro.local> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com>
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Matt authored
* Fix tests that broke when models used batchnorm * Initializing the model twice does not actually... ...give you the same weights each time. I am good at machine learning. * Fix speed regression
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Younes Belkada authored
* few fixes: - hardcode tokenizer padding side - remove unused args * few fixes: - added new attribute on TokenizerTesterMixin - added new slow test - remove unused arg on tokenizer class * make style * Update src/transformers/models/bloom/tokenization_bloom_fast.py Co-authored-by:
SaulLu <55560583+SaulLu@users.noreply.github.com> * make quality * apply changes - remove new attribute - redefine test on the class * add comments Co-authored-by:
SaulLu <55560583+SaulLu@users.noreply.github.com>
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Guillaume Klein authored
Co-authored-by:SaulLu <55560583+SaulLu@users.noreply.github.com>
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- 22 Jun, 2022 2 commits
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Sylvain Gugger authored
* Offload fixes * Add a test
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Arthur authored
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- 21 Jun, 2022 7 commits
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unifyh authored
- Fix `top_k_top_p_filtering` not passing `filter_value` to `TopPLogitsWarper` causing any top-p filtered logits to be -inf instead of specified value - Add corresponding test
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Thomas Wang authored
* Add final_layer_norm to OPT model * Add JAX and TF version * Fix Keras name * Woops * Allow for non breaking change * Apply suggestions from code review * add tests Co-authored-by:Patrick von Platen <patrick.v.platen@gmail.com>
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Arthur authored
* initial commit * update modeeling tf utils * quality * clean and update args * update * remove potential bug * code quality * update * update max shard * update tests for sharding from pretrained * fix remaining test * make style * h5py if tf available * update and fix test * fix test * style * modified push to hub to support shard for TF * quick fix * update code * merge branch main and style * Apply suggestions from code review Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * update based on reviews * update doc * update and style * Apply suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update based on reviews * fix typo * style Co-authored-by:
Joao Gante <joaofranciscocardosogante@gmail.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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Yih-Dar authored
* rename to check_pt_flax_outputs * update check_pt_flax_outputs * use 5e-5 for BigBird PT/Flax test Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Lysandre Debut authored
* Prepare CI for v0.8.0 * pin hfh (revert before merge) * Revert "pin hfh (revert before merge)" This reverts commit a0103140e1c77b810ffcb735192968bc03be3e1f. * Test rc3 * Test latest rc * Unpin to the RC Co-authored-by:Sylvain Gugger <Sylvain.gugger@gmail.com>
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NielsRogge authored
* Fix docstrings and variable names * Rename x to something better * Improve messages * Fix docstrings and add test for greyscale images Co-authored-by:Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
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mrbean authored
* add onnx support for debertav2 * debertav2 -> deberta-v2 in onnx features file * remove causal lm * add deberta-v2-xlarge to onnx tests * use self.type().dtype() in xsoftmax Co-authored-by:
Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * remove hack for deberta * remove unused imports * Update src/transformers/models/deberta_v2/configuration_deberta_v2.py Co-authored-by:
Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * use generate dummy inputs * linter * add imports * add support for deberta v1 as well * deberta does not support multiple choice * Update src/transformers/models/deberta/configuration_deberta.py Co-authored-by:
Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * Update src/transformers/models/deberta_v2/configuration_deberta_v2.py Co-authored-by:
Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com> * one line ordered dict * fire build Co-authored-by:
Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com>
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- 20 Jun, 2022 4 commits
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Yih-Dar authored
* Use torch.finfo(self.dtype).min * for GPTNeoX * for Albert * For Splinter * Update src/transformers/models/data2vec/modeling_data2vec_audio.py Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * fix -inf used in Bart-like models * Fix a few remaining -inf * more fix * clean up * For CLIP * For FSMT * clean up * fix test * Add dtype argument and use it for LayoutLMv3 * update FlaxLongT5Attention Co-authored-by:
ydshieh <ydshieh@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com>
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Sylvain Gugger authored
* Fix cache for GPT-Neo-X * Add more tests
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Stas Bekman authored
* deprecate is_torch_bf16_available * address suggestions
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Joao Gante authored
* Also propagate changes to blenderbot, blenderbot_small, marian, mbart, and pegasus
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- 16 Jun, 2022 1 commit
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Sylvain Gugger authored
* Refine BF16 check in CPU/GPU * Fixes * Renames
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- 14 Jun, 2022 5 commits
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Younes Belkada authored
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Suraj Patil authored
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Hailey Schoelkopf authored
* add new bloom classes * (feat) add bloom classification tests; make style * style: change import in test * add some typehints to bloom classes * merge main into branch * fix: input checking in bloom seq classification * fix tests * change model class tests * fix few tests - more tests should pass - one test left * make token classifier return hidden states * style: make BLOOM typehints consistent Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com> Co-authored-by:
younesbelkada <younesbelkada@gmail.com> Co-authored-by:
Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
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Patrick von Platen authored
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jianan-gu authored
* add jit mode option and model wrap * Update src/transformers/training_args.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/training_args.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * refine code * Update src/transformers/trainer.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/trainer.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * add ut and refine code * code refine * refine code * add inference doc * Update src/transformers/trainer.py Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * Update src/transformers/trainer.py Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * add cpu inference performance doc * Update perf_infer_cpu.mdx * Update perf_infer_cpu.mdx * Update performance.mdx * Update _toctree.yml * refine jit func naming * Update _toctree.yml * Delete perf_infer_gpu_one.mdx * Update perf_infer_cpu.mdx * Update docs/source/en/perf_infer_cpu.mdx Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com> * add none check before jit * Update docs/source/en/perf_infer_cpu.mdx Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update docs/source/en/perf_infer_cpu.mdx Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Stas Bekman <stas@stason.org> Co-authored-by:
Stas Bekman <stas00@users.noreply.github.com>
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- 13 Jun, 2022 2 commits
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Daniel Stancl authored
* Initial commit * Make some fixes * Make PT model full forward pass * Drop TF & Flax implementation, fix copies etc * Add Flax model and update some corresponding stuff * Drop some TF things * Update config and flax local attn * Add encoder_attention_type to config * . * Update docs * Do some cleansing * Fix some issues -> make style; add some docs * Fix position_bias + mask addition + Update tests * Fix repo consistency * Fix model consistency by removing flax operation over attn_mask * [WIP] Add PT TGlobal LongT5 * . * [WIP] Add flax tglobal model * [WIP] Update flax model to use the right attention type in the encoder * Fix flax tglobal model forward pass * Make the use of global_relative_attention_bias * Add test suites for TGlobal model * Fix minor bugs, clean code * Fix pt-flax equivalence though not convinced with correctness * Fix LocalAttn implementation to match the original impl. + update READMEs * Few updates * Update: [Flax] improve large model init and loading #16148 * Add ckpt conversion script accoring to #16853 + handle torch device placement * Minor updates to conversion script. * Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM * gpu support + dtype fix * Apply some suggestions from code review Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> * * Remove (de)parallelize stuff * Edit shape comments * Update README.md * make fix-copies * Remove caching logic for local & tglobal attention * Apply another batch of suggestions from code review * Add missing checkpoints * Format converting scripts * Drop (de)parallelize links from longT5 mdx * Fix converting script + revert config file change * Revert "Remove caching logic for local & tglobal attention" This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46. * Stash caching logic in Flax model * Make side relative bias used always * Drop caching logic in PT model * Return side bias as it was * Drop all remaining model parallel logic * Remove clamp statements * Move test files to the proper place * Update docs with new version of hf-doc-builder * Fix test imports * Make some minor improvements * Add missing checkpoints to docs * Make TGlobal model compatible with torch.onnx.export * Replace some np.ndarray with jnp.ndarray * Fix TGlobal for ONNX conversion + update docs * fix _make_global_fixed_block_ids and masked neg value * update flax model * style and quality * fix imports * remove load_tf_weights_in_longt5 from init and fix copies * add slow test for TGlobal model * typo fix * Drop obsolete is_parallelizable and one warning * Update __init__ files to fix repo-consistency * fix pipeline test * Fix some device placements * [wip]: Update tests -- need to generate summaries to update expected_summary * Fix quality * Update LongT5 model card * Update (slow) summarization tests * make style * rename checkpoitns * finish * fix flax tests Co-authored-by:
phungvanduy <pvduy23@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
patil-suraj <surajp815@gmail.com>
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Sijun He authored
* wip * rebase * all tests pass * rebase * ready for PR * address comments * fix styles * add require_torch to pipeline test * remove remote image to improve CI consistency * address comments; fix tf/flax tests * address comments; fix tf/flax tests * fix tests; add alias * repo consistency tests * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * address comments * Update src/transformers/pipelines/visual_question_answering.py Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> * merge * Update src/transformers/models/auto/modeling_auto.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * merge Co-authored-by:
Sijun He <sijunhe@Sijuns-MacBook-Pro.local> Co-authored-by:
NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by:
Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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- 10 Jun, 2022 7 commits
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Yih-Dar authored
Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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Patrick von Platen authored
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Patrick von Platen authored
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Patrick von Platen authored
* [BigBirdFlaxTests] Make tests slow * up * correct black with new version
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Simon Brandeis authored
* Raise RepoNotFoundError in case of 401 * Include changes from revert-17646-skip_repo_not_found * Add a comment *
馃拕 Code quality *馃挌 Update `get_from_cache` test *馃挌 Code quality & skip failing test -
amyeroberts authored
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Sylvain Gugger authored
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- 09 Jun, 2022 4 commits
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Stas Bekman authored
* [modeling_utils] torch_dtype/auto fixes * add test * apply suggestions * add missing fallback * Renaming things * Use for else Co-authored-by:Sylvain Gugger <Sylvain.gugger@gmail.com>
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Nicolas Patry authored
When we're preparing the tensors for CPU for postprocessing, we need to upgrade the `float16` to `float32` since CPUs don't have instructions for `[b]float16`.
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Nicolas Patry authored
* Adding `top_k` and `sort` arguments to `text-classification` pipeline. - Deprecate `return_all_scores` as `top_k` is more uniform with other pipelines, and a superset of what `return_all_scores` can do. BC is maintained though. `return_all_scores=True` -> `top_k=None` `return_all_scores=False` -> `top_k=1` - Using `top_k` will imply sorting the results, but using no argument will keep the results unsorted for backward compatibility. * Remove `sort`. * Fixing the test. * Remove bad doc.
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amyeroberts authored
* Use shape_list to safely get shapes * Add relevant test * Tidy and add metrics * Resolve dynamic shaping issues and move test * Tidy up and all samples in batch * Formatting
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