Summary:
- Add support for linear and cubic interpolate in opset 11.
- Add support for 1d and 3d interpolate in nearest mode for opset 7 and 8.
- Add tests for all cases of interpolate in ORT tests (nearest/linear/cubic, 1d/2d/3d, upsample/downsample).
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24805
Reviewed By: hl475
Differential Revision: D17330801
Pulled By: houseroad
fbshipit-source-id: 1bdefff9e72f5e70c51f4721e1d7347478b7505b
Summary:
Empty and empty_like return uninitialized tensors with specific sizes.
The values in the tensor cannot be predicted, that's why tests in test_pytorch_onnx_onnxruntime.py and test_pytorch_onnx_caffe2.py are not added.
The tests in test_operators.py verify the onnx graph and output shape.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24166
Differential Revision: D16831571
Pulled By: bddppq
fbshipit-source-id: b2500f36ced4735da9a8418d87a39e145b74f63a
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/24077
This replaces all uses of DimensionedTensorType with ProfiledTensorType.
For places where we propagate shape information, we still follow the
dimension-only propagation rules, meaning that even if full size information
is known on inputs the outputs will only have dimension information.
This fixes several bugs in existing implentations that this change uncovered:
* requires_grad was not propgated correctly across loops
* requires_grad on ProfiledTensorType returned false when requires_grad information
is unknown but the conservative result is true
* some equality code on ProfiledTensorType contained bugs.
Test Plan: Imported from OSS
Reviewed By: suo
Differential Revision: D16729581
Pulled By: zdevito
fbshipit-source-id: bd9f823c1c6b1d06a236a1b5b2b2fcdf0245edce
Summary:
Some overlap with https://github.com/pytorch/pytorch/pull/21716 regarding caffe2 nonzero. Will rebase the other one accordingly whichever gets merged first.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22601
Reviewed By: zrphercule
Differential Revision: D16224660
Pulled By: houseroad
fbshipit-source-id: dbfd1b8776cb626601e0bf83b3fcca291806e653
Summary:
This is an extension to the original PR https://github.com/pytorch/pytorch/pull/21765
1. Increase the coverage of different opsets support, comments, and blacklisting.
2. Adding backend tests for both caffe2 and onnxruntime on opset 7 and opset 8.
3. Reusing onnx model tests in caffe2 for onnxruntime.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/22421
Reviewed By: zrphercule
Differential Revision: D16225518
Pulled By: houseroad
fbshipit-source-id: 01ae3eed85111a83a0124e9e95512b80109d6aee
