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* initial commit * Add inital testing files and modify __init__ files to add UnivNet imports. * Fix some bugs * Add checkpoint conversion script and add references to transformers pre-trained model. * Add UnivNet entries for auto. * Add initial docs for UnivNet. * Handle input and output shapes in UnivNetGan.forward and add initial docstrings. * Write tests and make them pass. * Write docs. * Add UnivNet doc to _toctree.yml and improve docs. * fix typo * make fixup * make fix-copies * Add upsample_rates parameter to config and improve config documentation. * make fixup * make fix-copies * Remove unused upsample_rates config parameter. * apply suggestions from review * make style * Verify and add reason for skipped tests inherited from ModelTesterMixin. * Add initial UnivNetGan integration tests * make style * Remove noise_length input to UnivNetGan and improve integration tests. * Fix bug and make style * Make UnivNet integration tests pass * Add initial code for UnivNetFeatureExtractor. * make style * Add initial tests for UnivNetFeatureExtractor. * make style * Properly initialize weights for UnivNetGan * Get feature extractor fast tests passing * make style * Get feature extractor integration tests passing * Get UnivNet integration tests passing * make style * Add UnivNetGan usage example * make style and use feature extractor from hub in integration tests * Update tips in docs * apply suggestions from review * make style * Calculate padding directly instead of using get_padding methods. * Update UnivNetFeatureExtractor.to_dict to be UnivNet-specific. * Update feature extractor to support using model(**inputs) and add the ability to generate noise and pad the end of the spectrogram in __call__. * Perform padding before generating noise to ensure the shapes are correct. * Rename UnivNetGan.forward's noise_waveform argument to noise_sequence. * make style * Add tests to test generating noise and padding the end for UnivNetFeatureExtractor.__call__. * Add tests for checking batched vs unbatched inputs for UnivNet feature extractor and model. * Add expected mean and stddev checks to the integration tests and make them pass. * make style * Make it possible to use model(**inputs), where inputs is the output of the feature extractor. * fix typo in UnivNetGanConfig example * Calculate spectrogram_zero from other config values. * apply suggestions from review * make style * Refactor UnivNet conversion script to use load_state_dict (following persimmon). * Rename UnivNetFeatureExtractor to UnivNetGanFeatureExtractor. * make style * Switch to using torch.tensor and torch.testing.assert_close for testing expected values/slices. * make style * Use config in UnivNetGan modeling blocks. * make style * Rename the spectrogram argument of UnivNetGan.forward to input_features, following Whisper. * make style * Improving padding documentation. * Add UnivNet usage example to the docs. * apply suggestions from review * Move dynamic_range_compression computation into the mel_spectrogram method of the feature extractor. * Improve UnivNetGan.forward return docstring. * Update table in docs/source/en/index.md. * make fix-copies * Rename UnivNet components to have pattern UnivNet*. * make style * make fix-copies * Update docs * make style * Increase tolerance on flaky unbatched integration test. * Remove torch.no_grad decorators from UnivNet integration tests to try to avoid flax/Tensorflow test errors. * Add padding_mask argument to UnivNetModel.forward and add batch_decode feature extractor method to remove padding. * Update documentation and clean up padding code. * make style * make style * Remove torch dependency from UnivNetFeatureExtractor. * make style * Fix UnivNetModel usage example * Clean up feature extractor code/docstrings. * apply suggestions from review * make style * Add comments for tests skipped via ModelTesterMixin flags. * Add comment for model parallel tests skipped via the test_model_parallel ModelTesterMixin flag. * Add # Copied from statements to copied UnivNetFeatureExtractionTest tests. * Simplify UnivNetFeatureExtractorTest.test_batch_decode. * Add support for unbatched padding_masks in UnivNetModel.forward. * Refactor unbatched padding_mask support. * make style |
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| .. | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| tasks | ||
| _config.py | ||
| _redirects.yml | ||
| _toctree.yml | ||
| accelerate.md | ||
| add_new_model.md | ||
| add_new_pipeline.md | ||
| add_tensorflow_model.md | ||
| attention.md | ||
| autoclass_tutorial.md | ||
| benchmarks.md | ||
| bertology.md | ||
| big_models.md | ||
| chat_templating.md | ||
| community.md | ||
| contributing.md | ||
| create_a_model.md | ||
| custom_models.md | ||
| custom_tools.md | ||
| debugging.md | ||
| fast_tokenizers.md | ||
| generation_strategies.md | ||
| glossary.md | ||
| hpo_train.md | ||
| index.md | ||
| installation.md | ||
| llm_tutorial_optimization.md | ||
| llm_tutorial.md | ||
| model_memory_anatomy.md | ||
| model_sharing.md | ||
| model_summary.md | ||
| multilingual.md | ||
| notebooks.md | ||
| pad_truncation.md | ||
| peft.md | ||
| perf_hardware.md | ||
| perf_infer_cpu.md | ||
| perf_infer_gpu_one.md | ||
| perf_torch_compile.md | ||
| perf_train_cpu_many.md | ||
| perf_train_cpu.md | ||
| perf_train_gpu_many.md | ||
| perf_train_gpu_one.md | ||
| perf_train_special.md | ||
| perf_train_tpu_tf.md | ||
| perf_train_tpu.md | ||
| performance.md | ||
| perplexity.md | ||
| philosophy.md | ||
| pipeline_tutorial.md | ||
| pipeline_webserver.md | ||
| pr_checks.md | ||
| preprocessing.md | ||
| quicktour.md | ||
| run_scripts.md | ||
| sagemaker.md | ||
| serialization.md | ||
| task_summary.md | ||
| tasks_explained.md | ||
| testing.md | ||
| tf_xla.md | ||
| tflite.md | ||
| tokenizer_summary.md | ||
| torchscript.md | ||
| training.md | ||
| transformers_agents.md | ||
| troubleshooting.md | ||