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* feat: initial implementation of data2vec segmentation model in TF. * chore: minor corrections to make the segmenter work. * chore: removed unncessary files. * chore: add tests and other modifications. * fix: loss computation for segmentation. * chore: remove unused variable. * chore: formatting. * added a dummy adaptive pooling layer. * removed unnecessary file. * potentially add identifiers to layer names. * fix: layer naming. * chore: removed unnecessary print. * Skipping unneeded test * chore: add logging to debug tolerance. * fix: segmentation tests for tfdata2vecvision * chore: make style. * fix: layer names, assertion to be resolved. * Bumping test tolerance a bit * chore: bump the tol in PT test. Co-authored-by: matt <rocketknight1@gmail.com> |
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| .. | ||
| benchmark | ||
| deepspeed | ||
| extended | ||
| fixtures | ||
| generation | ||
| models | ||
| onnx | ||
| optimization | ||
| pipelines | ||
| sagemaker | ||
| tokenization | ||
| trainer | ||
| utils | ||
| __init__.py | ||
| test_configuration_common.py | ||
| test_feature_extraction_common.py | ||
| test_modeling_common.py | ||
| test_modeling_flax_common.py | ||
| test_modeling_tf_common.py | ||
| test_sequence_feature_extraction_common.py | ||
| test_tokenization_common.py | ||