Arm backend: Remove no-op repeat nodes in ConvertExpandCopyToRepeatPass #10137
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Update ConvertExpandCopyToRepeatPass to eliminate Repeat nodes where all repetition counts are one, as these are functionally equivalent to a simple copy. This reduces unnecessary operations in the graph. This patch affects two unit tests in backends/arm/test/ops/test_expand.py. The models (test subjects) in those unit tests are in the affected cases optimized such that the only computation node (torch.Tensor.expand) they each contain is optimized away by the modified ConvertExpandCopyToRepeatPass. This will make Vela complain saying that the model is empty and the TOSA file cannot be compiled. Set the affected unit tests to xfail since they are expected to be resolved later in another patch. Change-Id: I8f118c30eb9ecde09a7b8dcefd41b1fb65af8a3b
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10137
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@martinlsm Linting issues need to be addressed. Apart from that it looks good to me. |
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Update ConvertExpandCopyToRepeatPass to eliminate Repeat nodes where all repetition counts are one, as these are functionally equivalent to a simple copy. This reduces unnecessary operations in the graph.
This patch affects two unit tests in
backends/arm/test/ops/test_expand.py. The models (test subjects) in those unit tests are in the affected cases optimized such that the only computation node (torch.Tensor.expand) they each contain is optimized away by the modified ConvertExpandCopyToRepeatPass. This will make Vela complain saying that the model is empty and the TOSA file cannot be compiled. Set the affected unit tests to xfail since they are expected to be resolved later in another patch.
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218