- 31 Oct, 2023 1 commit
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Hz, Ji authored
* device agnostic pipelines testing * pass torch_device
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- 24 Apr, 2023 1 commit
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Yih-Dar authored
* run_check_tiny_models * update summary * update mixin * update pipeline_model_mapping * update pipeline_model_mapping * Update for gpt_bigcode --------- Co-authored-by:ydshieh <ydshieh@users.noreply.github.com>
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- 17 Apr, 2023 1 commit
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Yih-Dar authored
* fix --------- Co-authored-by:
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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:
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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:
amyeroberts <22614925+amyeroberts@users.noreply.github.com> * Remove `conversational` changes. They are not supposed to be here. * Address first row of comments. * Remove OneFormer modifications. Co-authored-by:
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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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- 28 Jun, 2022 1 commit
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Nicolas Patry authored
Fixing a regression with `return_all_scores` introduced in #17606 - The legacy test actually tested `return_all_scores=False` (the actual default) instead of `return_all_scores=True` (the actual weird case). This commit adds the correct legacy test and fixes it. Tmp legacy tests. Actually fix the regression (also contains lists) Less diffed code.
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- 09 Jun, 2022 1 commit
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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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- 19 May, 2022 1 commit
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Nicolas Patry authored
* [BC] Fixing usage of text pairs The BC is actually preventing users from misusing the pipeline since users could have been willing to send text pairs and the pipeline would instead understand the thing as a batch returning bogus results. The correct usage of text pairs is preserved in this PR even when that makes the code clunky. Adds support for {"text":..,, "text_pair": ...} inputs for both dataset iteration and more explicit usage to pairs. * Updating the doc. * Update src/transformers/pipelines/text_classification.py Co-authored-by:Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Update src/transformers/pipelines/text_classification.py Co-authored-by:
Lysandre Debut <lysandre@huggingface.co> * quality. Co-authored-by:
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- 18 May, 2022 1 commit
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Nicolas Patry authored
* Accepting real pytorch device as arguments. * is_torch_available.
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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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- 22 Nov, 2021 1 commit
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Nicolas Patry authored
* Moving everything to `hf-internal-testing`. * Fixing test values. * Moving to other repo. * Last touch?
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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 2 commits
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Nicolas Patry authored
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Nicolas Patry authored
* New test format for conversational. * Putting back old mixin. * Re-enabling auto tests with LazyLoading. * Feature extraction tests. * Remove feature-extraction. * Feature extraction with feature_extractor (No pun intended). * Update check_model_type for fill-mask.
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- 29 Jul, 2021 1 commit
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Nicolas Patry authored
* Update feature extraction pipelilne. * Leaving 1 small model for actual values check. * Fixes tests - Better support for tokenizer with no pad token - Increasing PegasusModelTesterConfig for pipelines - Test of feature extraction are more permissive + don't test Multimodel models + encoder-decoder. * Fixing model loading with incorrect shape (+ model with HEAD). * Update tests/test_pipelines_common.py Co-authored-by:
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- 22 Jul, 2021 1 commit
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Nicolas Patry authored
* Proposal * Testing pipelines slightly better. - Overall same design - Metaclass to get proper different tests instead of subTest (not well supported by Pytest) - Added ANY meta object to make output checking more readable. - Skipping architectures either without tiny_config or without architecture. * Small fix. * Fixing the tests in case of None value. * Oups. * Rebased with more architectures. * Fixing reformer tests (no override anymore). * Adding more options for model tester config. Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
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- 15 Apr, 2021 1 commit
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Nicolas Patry authored
* Adding task aliases and adding `token-classification` and `text-classification` tasks. * Cleaning docstring.
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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:
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