[AutoBump] Merge with 8c48135a (22) #253
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iree tests `test_sinh` and `test_sinh_example` passed
iree tests `test_cosh` and `test_cosh_example` passed
iree tests `test_acosh` and `test_acosh_example` passed
iree tests `test_asinh` and `test_asinh_example` passed
iree tests `test_atanh` and `test_atanh_example` passed
1. Handle case stride == None 2. add avgpool3d maxpool1d maxpool3d lowering
…vm#3181) Implements OnnxToTorch lowering for the BlackmanWindow Function.
…vm#3265) For some sparse programs (and I am sure other not-seen corner cases for dense), some passes were missing in the reference pipeline, eventually resulting in e.g. a unresolved unrealized cast issue. This PR adds some very obvious missing passes to avoid this situation.
I spent a little while debugging numerics issues with some tests similar to the ones in quantized_models.py, only to find that pytorch's quantized conv transpose is catastrophically inaccurate. I'll upstream the issue and only leave the tests here which are of the form quantize -> dequantize -> op.
…ailable (llvm#3202) Co-authored-by: Xida Ren <[email protected]>
This is probably a decent PR for learning about blocks and regions. If you're here to learn about that, consider also looking at lib/Conversion/TorchToSCF/TorchToSCF.cpp While this doesn't include an e2e test, it is tested downstream in https://github.com/nod-ai/SHARK-TestSuite/blob/main/e2eshark/onnx/operators/If/model.py --------- Co-authored-by: Xida Ren <[email protected]>
The conversion of complex type wasn't supported or checked; the support and required tests were added. Fixes: iree-org/iree#17226 (comment)
cferry-AMD
approved these changes
Aug 22, 2024
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