Add int64 as a required type to ConstantOfShape #8128
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…ytorch converter for Pad. It's also used pointlessly for torch.tensor.repeat (although that usage should always be able to be constant folded).
hariharans29
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…ytorch converter for Pad. (#8128) It's also used pointlessly for torch.tensor.repeat (although that usage should always be able to be constant folded).
harshithapv
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Jun 26, 2021
* fix boost download url (#7843) * Topo sort the model before saving (#7913) * checkin toposort * review comments * revert and add TODO * Add shape inference to custom symbolic functions (#7937) **Description**: As title. **Motivation and Context** - PyTorch ONNX exporter heavily depends on ONNX shape inference to export accurate and efficient model. Custom symbolic function exports the op as contrib ops, thus exporter is unable to perform standard onnx shape inference. Models with dynamic shape inputs are affected. * Fix missing files on linux (#8066) * [Mobile package] Update required operator config with additional ops for wav2vec2. (#8079) Add some additional ops to the mobile package that are needed for the wav2vec2 model. * Add module attribute to ORTModule to support HuggingFace Trainer save_model (#8088) * Fix input schema extrator for ORTModule (#8098) * Fix 32bit Android java API crash (#8122) * Fix 32bit Android java API crash * fix code formating * [Mobile package] Update required operator config with additional ops for newer version of Wav2Vec 2. (#8123) This is an update to #8079 The sample application motivating the original update changed to use an updated version of the model. Now, fewer ops are required. This change removes the previously added ops which are no longer needed. * Add int64 as a required type to ConstantOfShape as it's used by the pytorch converter for Pad. (#8128) It's also used pointlessly for torch.tensor.repeat (although that usage should always be able to be constant folded). * Update logic in props.xml to account for shared provider library changes (#8138) * Ortmodule override torch.manual_seed() (#8131) * Ortmodule override torch.manual_seed() * Fix Python Cuda loading issues (#7939) * Fix mac shared_provider warning (#8153) Co-authored-by: Guoyu Wang <62914304+gwang-msft@users.noreply.github.com> Co-authored-by: Ye Wang <52801275+wangyems@users.noreply.github.com> Co-authored-by: Bowen Bao <bowbao@microsoft.com> Co-authored-by: Ryan Hill <38674843+RyanUnderhill@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: baijumeswani <bmeswani@microsoft.com> Co-authored-by: Thiago Crepaldi <thiago.crepaldi@microsoft.com> Co-authored-by: Scott McKay <skottmckay@gmail.com> Co-authored-by: Hariharan Seshadri <shariharan91@gmail.com> Co-authored-by: Sherlock <baihan.huang@gmail.com>
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Description:
Add int64 as a required type to ConstantOfShape as it's used by the pytorch converter for Pad.
It's also used pointlessly for torch.tensor.repeat (although that usage should always be able to be constant folded). pytorch/pytorch#60496 has details of that.
Motivation and Context
Support models converted from pytorch in pre-built package.