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This fixes some onnx lit tests not lowering to linalg in nod-ai/SHARK-ModelDev#450
Signed-Off By: Vivek Khandelwal <[email protected]>
Adds OnnxToTorch lowering for the `onnx.HammingWindow` op.
While waiting for the full resolution of feature request pytorch/pytorch#117188 (which will propagate sparsity the right way in upstream PyTorch for all FX Graphs), this minor change allows us to start testing sparsity "within" a network, rather than just the parameters. Feel free to add your own rules for testing (but within reason for what will be done upstream). Note, two TODOs need to be addressed to work around some pending issues to make the JIT execution work.
…ked_twin for stricter semantics (#3071) This PR decomposes all index_put-like op to aten.index_put.hacked_twin for stricter semantics, i.e., no None index in indices argument.
This small change seems to dramatically improve shape inference for complex models, and consequently, improves onnx importer reliability.
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