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![]() * add model files etc for MobileNetV2 * rename files for MobileNetV1 * initial implementation of MobileNetV1 * fix conversion script * cleanup * write docs * tweaks * fix conversion script * extract hidden states * fix test cases * make fixup * fixup it all * rename V1 to V2 * fix checkpoints * fixup * implement first block + weight conversion * add remaining layers * add output stride and dilation * fixup * add tests * add deeplabv3+ head * a bit of fixup * finish deeplab conversion * add link to doc * fix issue with JIT trace in_height and in_width would be Tensor objects during JIT trace, which caused Core ML conversion to fail on the remainder op. By making them ints, the result of the padding calculation becomes a constant value. * cleanup * fix order of models * fix rebase error * remove main from doc link * add image processor * remove old feature extractor * fix converter + other issues * fixup * fix unit test * add to onnx tests (but these appear broken now) * add post_process_semantic_segmentation * use google org * remove unused imports * move args * replace weird assert |
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.. | ||
test_module | ||
tf_ops | ||
check_config_docstrings.py | ||
check_copies.py | ||
check_doc_toc.py | ||
check_dummies.py | ||
check_inits.py | ||
check_repo.py | ||
check_self_hosted_runner.py | ||
check_table.py | ||
check_tf_ops.py | ||
create_dummy_models.py | ||
custom_init_isort.py | ||
documentation_tests.txt | ||
download_glue_data.py | ||
get_ci_error_statistics.py | ||
get_github_job_time.py | ||
get_modified_files.py | ||
notification_service_doc_tests.py | ||
notification_service.py | ||
past_ci_versions.py | ||
prepare_for_doc_test.py | ||
print_env.py | ||
release.py | ||
sort_auto_mappings.py | ||
tests_fetcher.py | ||
update_metadata.py |