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0dc7b3a785
* chore: initial commit * chore: adding util methods yet to work on the nn.functional.interpolate port with align_corener=True * chore: refactor the utils * used tf.compat.v1.image.resize to align the F.interpolate function * added type hints to the method signatures * added references to the gists where one 2 one alignment of torch and tf has been shown * chore: adding the layers * chore: porting all the layers from torch to tf This is the initial draft, nothing is tested yet. * chore: aligning the layers with reference to tf clip * chore: aligning the modules * added demaraction comments * added copied and adapted from comments * chore: aligning with CLIP * chore: wrangling the layers to keep it tf compatible * chore: aligning the names of the layers for porting * chore: style changes * chore: adding docs and inits * chore: adding tfp dependencis the code is taken from TAPAS * chore: initial commit for testing * chore: aligning the vision embeddings with the vit implementatino * chore: changing model prefix * chore: fixing the name of the model and the layer normalization test case * chore: every test passes but the slow ones * chore: fix style and integration test * chore: moving comments below decorators * chore: make fixup and fix-copies changes * chore: adding the Vision and Text Model to check_repo * chore: modifying the prefix name to align it with the torch implementation * chore: fix typo in configuration * choer: changing the name of the model variable * chore: adding segmentation flag * chore: gante's review * chore: style refactor * chore: amy review * chore: adding shape_list to parts that have been copied from other snippets * chore: init batchnorm with torch defaults * chore: adding shape_list to pass the tests * test fix: adding seed as 0 * set seed * chore: changing the straight through trick to fix -ve dimensinos * chore: adding a dimension to the loss * chore: adding reviewers and contributors names to the docs * chore: added changes after review * chore: code quality fixup * chore: fixing the segmentation snippet * chore: adding to the layer calls * chore: changing int32 to int64 for inputs of serving * chore: review changes * chore: style changes * chore: remove from_pt=True * fix: repo consistency Co-authored-by: ydshieh <ydshieh@users.noreply.github.com> |
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| .. | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| tasks | ||
| _config.py | ||
| _toctree.yml | ||
| accelerate.mdx | ||
| add_new_model.mdx | ||
| add_new_pipeline.mdx | ||
| autoclass_tutorial.mdx | ||
| benchmarks.mdx | ||
| bertology.mdx | ||
| big_models.mdx | ||
| community.mdx | ||
| contributing.md | ||
| converting_tensorflow_models.mdx | ||
| create_a_model.mdx | ||
| custom_models.mdx | ||
| debugging.mdx | ||
| fast_tokenizers.mdx | ||
| glossary.mdx | ||
| hpo_train.mdx | ||
| index.mdx | ||
| installation.mdx | ||
| migration.mdx | ||
| model_sharing.mdx | ||
| model_summary.mdx | ||
| multilingual.mdx | ||
| notebooks.md | ||
| pad_truncation.mdx | ||
| perf_hardware.mdx | ||
| perf_infer_cpu.mdx | ||
| perf_infer_gpu_many.mdx | ||
| perf_infer_gpu_one.mdx | ||
| perf_infer_special.mdx | ||
| perf_train_cpu_many.mdx | ||
| perf_train_cpu.mdx | ||
| perf_train_gpu_many.mdx | ||
| perf_train_gpu_one.mdx | ||
| perf_train_special.mdx | ||
| perf_train_tpu.mdx | ||
| performance.mdx | ||
| perplexity.mdx | ||
| philosophy.mdx | ||
| pipeline_tutorial.mdx | ||
| pr_checks.mdx | ||
| preprocessing.mdx | ||
| quicktour.mdx | ||
| run_scripts.mdx | ||
| sagemaker.mdx | ||
| serialization.mdx | ||
| task_summary.mdx | ||
| testing.mdx | ||
| tokenizer_summary.mdx | ||
| training.mdx | ||
| troubleshooting.mdx | ||