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### Description <!-- Describe your changes. --> Add ML Program ConvTranspose - some limitations to simplify the implementation for now - some limitations due to flaky CoreML output Added support for non-contiguous MLMultiArray output as we see that with some unit tests when the CPU-only flag is not set (e.g. innermost dim has min size of 16 but test output only has 8 values). - support only one non-contiguous dim to keep it simple - manually tested as we don't have a setup that can test objective-c code - test code is in model.mm and can be enabled via ifdef if we need to validate any future changes ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Address operator gaps in high priority model. --------- Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> |
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| .. | ||
| github | ||
| requirements | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| compile_triton.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| patch_manylinux.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| replace_urls_in_deps.py | ||
| set-trigger-rules.py | ||
| update_tsaoptions.py | ||
| upload_python_package_to_azure_storage.py | ||