"ollama/llm/ext_server/server.cpp" did not exist on "22cb4ffc026b1fb71549031f174dc92f3751db56"
- 05 Jul, 2024 1 commit
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Billy Cao authored
* cast image features to model.dtype where needed to support FP16 or other precision in pipelines * Update src/transformers/pipelines/image_feature_extraction.py Co-authored-by:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Use .to instead * Add FP16 pipeline support for zeroshot audio classification * Remove unused torch imports * Add docs on FP16 pipeline * Remove unused import * Add FP16 tests to pipeline mixin * Add fp16 placeholder for mask_generation pipeline test * Add FP16 tests for all pipelines * Fix formatting * Remove torch_dtype arg from is_pipeline_test_to_skip* * Fix format * trigger ci --------- Co-authored-by:
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- 14 Dec, 2023 1 commit
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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
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- 31 Oct, 2023 1 commit
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Hz, Ji authored
* device agnostic pipelines testing * pass torch_device
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- 02 Mar, 2023 1 commit
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Sylvain Gugger authored
* Mark pipeline tests to skip them easily * Mark the mixin as pipeline test * Update src/transformers/testing_utils.py Co-authored-by:
Yih-Dar <2521628+ydshieh@users.noreply.github.com> --------- Co-authored-by:
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- 28 Feb, 2023 1 commit
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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:ydshieh <ydshieh@users.noreply.github.com>
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- 30 Jan, 2023 1 commit
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Yih-Dar authored
* rework pipeline tests * run pipeline tests * fix * fix * fix * revert the changes in get_test_pipeline() parameter list * fix expected error message * skip a test * clean up --------- Co-authored-by:
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- 25 Jan, 2023 1 commit
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Nicolas Patry authored
* Fixing the pipeline with image processor. * Update the slow test. * Using only the first image processor. * Include exclusion mecanism for Image processor. * Do not handle Gitconfig, deemed as a bug. * Apply suggestions from code review Co-authored-by:
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- 13 Dec, 2022 1 commit
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Yih-Dar authored
* Fix the pipeline test regarding TF * Fix the pipeline test regarding TF * update comment Co-authored-by:
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- 07 Dec, 2022 1 commit
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Yih-Dar authored
* update summarization run_pipeline_test * update Co-authored-by:
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- 15 Nov, 2022 1 commit
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Younes Belkada authored
* first commit * add more comments * add router v1 * clean up - remove `tf` modeling files * clean up - remove `tf` modeling files * clean up * v0 routers * added more router - Implemented `ExpertsChooseMaskedRouter` - added tests - 2 more routers to implement * last router * improved docstring - completed the docstring in `router.py` - added more args in the config * v0 sparse mlp * replace wrong naming * forward pass run * update MOE layer * small router update * fixup * consistency * remove scatter router * remove abstract layer * update test and model for integration testing * v1 conversion * update * hardcode hack * all keys match * add gin conversion, without additional libraries * update conversion sctipy * delete router file * update tests wrt router deletion * fix router issues * update expert code * update, logits match, code needsREFACTORING * Refactor code Co-authored-by:
Younes Belkada <younesbelkada@users.noreply.github.com> * add generate tests Co-authored-by:
younesbelkada <younesbelkada@gmail.com> * add support for router loss Co-authored-by:
Arthur <48595927+ArthurZucker@users.noreply.github.com> * Update src/transformers/models/switch_transformers/convert_switch_transformers_original_flax_checkpoint_to_pytorch.py Co-authored-by:
Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * remove parallelizable tests + add one liners * remove ONNX config * fix nits - add `T5Tokenizer` in auto mapping - remove `Switch Transformers` from ONNX supported models * remove `_get_router` * remove asserts * add check in test for `router_dtype` * add `SwitchTransformersConfig` in `run_pipeline_test` * Update tests/pipelines/test_pipelines_summarization.py * add huge model conversion script * fix slow tests - add better casting for `Linear8bitLt` - remove `torchscript` tests * add make dir * style on new script * fix nits - doctest - remove `_keys_to_ignore_on_load_unexpected` * Update src/transformers/models/switch_transformers/configuration_switch_transformers.py * add google as authors * fix year * remove last `assert` statements * standardize vertical spaces * fix failing import * fix another failing test * Remove strange 脿uthorized_keys` * removing todo and padding that is never used Co-authored-by:
Arthur Zucker <arthur.zucker@gmail.com> Co-authored-by:
ybelkada <younes@huggingface.co> Co-authored-by:
Arthur Zucker <arthur@huggingface.co>
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- 07 Oct, 2022 1 commit
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Sylvain Gugger authored
* Rework pipeline tests * Try to fix Flax tests * Try to put it before * Use a new decorator instead * Remove ignore marker since it doesn't work * Filter pipeline tests * Woopsie * Use the fitlered list * Clean up and fake modif * Remove init * Revert fake modif
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- 13 Jun, 2022 1 commit
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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:
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:
patil-suraj <surajp815@gmail.com>
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- 12 May, 2022 1 commit
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Sylvain Gugger authored
* Black preview * Fixup too! * Fix check copies * Use the same version as the CI * Bump black
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- 23 Feb, 2022 1 commit
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Lysandre Debut authored
* Per-folder tests reorganization Co-authored-by:
sgugger <sylvain.gugger@gmail.com> Co-authored-by:
Stas Bekman <stas@stason.org>
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- 29 Oct, 2021 1 commit
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Nicolas Patry authored
* Tentative enabling of `batch_size` for pipelines. * Add systematic test for pipeline batching. * Enabling batch_size on almost all pipelines - Not `zero-shot` (it's already passing stuff as batched so trickier) - Not `QA` (preprocess uses squad features, we need to switch to real tensors at this boundary. * Adding `min_length_for_response` for conversational. * Making CTC, speech mappings avaiable regardless of framework. * Attempt at fixing automatic tests (ffmpeg not enabled for fast tests) * Removing ffmpeg dependency in tests. * Small fixes. * Slight cleanup. * Adding docs and adressing comments. * Quality. * Update docs/source/main_classes/pipelines.rst Co-authored-by:
Philipp Schmid <32632186+philschmid@users.noreply.github.com> * N -> oberved_batch_size softmax trick. * Follow `padding_side`. * Supporting image pipeline batching (and padding). * Rename `unbatch` -> `loader_batch`. * unbatch_size forgot. * Custom padding for offset mappings. * Attempt to remove librosa. * Adding require_audio. * torchaudio. * Back to using datasets librosa. * Adding help to set a pad_token on the tokenizer. * Update src/transformers/pipelines/base.py Co-authored-by:
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- 26 Aug, 2021 1 commit
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Nicolas Patry authored
* Moving `summarization` pipeline to new testing format. * Remove generate_kwargs from __init__ args.
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- 14 Jun, 2021 1 commit
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Stas Bekman authored
* consistent nn. and nn.functional: p3 templates * restore
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- 18 May, 2021 1 commit
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Vyom Pathak authored
* Fixed: Better names for nlp variables in pipelines' tests and docs. * Fixed: Better variable names
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- 05 Mar, 2021 1 commit
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Lysandre Debut authored
* Only run one test * Patch segfault * Fix summarization pipeline * Ready for merge
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- 10 Feb, 2021 1 commit
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Suraj Patil authored
* add forced logits processors * delete adjust_logits method * add forced_eos_token_id argument in config * add tests for forced logits processors * update gen utils tests * add forced option to tf generate * remove adjust_logits method from tf models * update adjust_logits for marian * delete _force_token_id_to_be_generated method * style * import warnings * pass max_length to _get_logits_processor * set forced_eos_token_id to None * set forced attributes in conf utils * typo * fix rag generate * add forced_eos_token_id in rag config * remove force_bos_token_to_be_generated from BartConfig * remove _force_token_ids_generation from FSMT * nit * fix negative constant * apply suggestions from code review
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- 11 Jan, 2021 1 commit
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Nicolas Patry authored
* Enable TruncationStrategy override for pipelines * Update isort. * Fixing test * Fixing text_generation pipeline. * Using same DummyTok as other PR for easier merge later. * Some more import guards. * Remove bogus file. * Do not pass `generate_kwargs` to `_parse_and_tokenize`. @patrickvonplaten * Removed DummyTok. * Doc quality.
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- 07 Dec, 2020 1 commit
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Sylvain Gugger authored
* Add copyright everywhere missing * Style
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- 23 Oct, 2020 1 commit
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Thomas Wolf authored
[tests|tokenizers] Refactoring pipelines test backbone - Small tokenizers improvements - General tests speedups (#7970) * WIP refactoring pipeline tests - switching to fast tokenizers * fix dialog pipeline and fill-mask * refactoring pipeline tests backbone * make large tests slow * fix tests (tf Bart inactive for now) * fix doc... * clean up for merge * fixing tests - remove bart from summarization until there is TF * fix quality and RAG * Add new translation pipeline tests - fix JAX tests * only slow for dialog * Fixing the missing TF-BART imports in modeling_tf_auto * spin out pipeline tests in separate CI job * adding pipeline test to CI YAML * add slow pipeline tests * speed up tf and pt join test to avoid redoing all the standalone pt and tf tests * Update src/transformers/tokenization_utils_base.py Co-authored-by:
Sam Shleifer <sshleifer@gmail.com> * Update src/transformers/pipelines.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * Update src/transformers/testing_utils.py Co-authored-by:
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