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SHARK-TestSuite/e2eshark/test-run/onnx/operators/ReduceLogSumExp/torch-mlir.log
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| %int7 = torch.constant.int 7 castDType | |
| !torch.vtensor<[2,3,4],f64> f64ResultType | |
| %0 = torch.aten.to.dtype %arg0, %int7, %false, %false, %none_0 : !torch.vtensor<[2,3,4],f32>, !torch.int, !torch.bool, !torch.bool, !torch.none -> !torch.vtensor<[2,3,4],f64> AtenToDtypeOp | |
| %1 = torch.aten.exp %0 : !torch.vtensor<[2,3,4],f64> -> !torch.vtensor<[2,3,4],f64> AtenExpOp | |
| !torch.vtensor<[1,1,1],f64> f64ReduceType | |
| %3 = torch.aten.sum.dim_IntList %1, %2, %true, %none_1 : !torch.vtensor<[2,3,4],f64>, !torch.list<int>, !torch.bool, !torch.none -> !torch.vtensor<[1,1,1],f64> reducedSumImpl | |
| %4 = torch.aten.log %3 : !torch.vtensor<[1,1,1],f64> -> !torch.vtensor<[2,3,4],f64> AtenLogOp | |
| %4 = torch.aten.log %3 : !torch.vtensor<[1,1,1],f64> -> !torch.vtensor<[2,3,4],f64> finalResult | |
| ReduceLogSumExp.default.torch-onnx.mlir:4:10: error: 'tensor.cast' op operand type 'tensor<1x1x1xf64>' and result type 'tensor<2x3x4xf64>' are cast incompatible | |
| %0 = torch.operator "onnx.ReduceLogSumExp"(%arg0) : (!torch.vtensor<[2,3,4],f32>) -> !torch.vtensor<[1,1,1],f32> | |
| ^ | |
| ReduceLogSumExp.default.torch-onnx.mlir:4:10: note: see current operation: %42 = "tensor.cast"(%41) : (tensor<1x1x1xf64>) -> tensor<2x3x4xf64> |
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Verbose e2e debug - https://gist.github.com/archana-ramalingam/8f82199d30980f047956b955abaa1bdc