Related Issues (20)
- convert-torch-onnx-to-torch generates invalid IR for onnx.Resize where scaling is in the first two dimensions
- aten.pad with mode = reflect is lowered wrong (numeric mismatch)
- [ONNX] Expand more ONNX operators as functions when importing HOT 1
- tm_tensor.scatter op mismatch in shape of indices and update value HOT 3
- Failed to lower "torch.operator "onnx.Pad"" with axes parameter
- Compile torch.nn.functional.scaled_dot_product_attention failed HOT 3
- [TorchONNXToTorch] Bug in PadOp pad tensor rearrangement HOT 2
- Remove optional tensor logic from linalg lowering for `IndexPutHackedTwinOp`
- Failed to lower 'torch.aten.scatter_reduce.two' to stablehlo
- support torch.aten.diag HOT 4
- MLIR Python pass manager API will assert if the pass issues errors but does not signal failure
- Bump onnx to 1.16.1 HOT 2
- Need E2E ONNX op tests in CI HOT 7
- [ONNX] Bernoulli operator implementation might be wrong (value mismatch in e2e testing when using function expansion)
- Can't lower onnx.Pad with "wrap" mode HOT 1
- Error compiling MobilenetV2
- AtenReplicationPad2d lowering to linalg sometimes crashes HOT 1
- Support specialized lowering to depthwise_conv_2d_nchw_chw_q HOT 3
- One or more Stablehlo test(s) crashing after llvm bump to 266a5a9cb9daa96c1eeaebc18e10f5a37d638734 HOT 4
- Dtype checks failing with 'Subtraction, the `-` operator, with two bool tensors is not supported. Use the `^` or `logical_xor()` operator instead.'
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