torch-mlir/test/E2E/e2e-mixed-ranks.mlir

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// RUN: npcomp-opt <%s -pass-pipeline=e2e-lowering-pipeline | FileCheck %s --dump-input=fail
// RUN: npcomp-opt <%s -pass-pipeline=e2e-lowering-pipeline{optimize} | FileCheck %s --dump-input=fail
// CHECK-LABEL: func @rank1
func @rank1(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
return %0 : tensor<?xf32>
}
// CHECK-LABEL: func @rank2
func @rank2(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
return %0 : tensor<?x?xf32>
}
// CHxCK-LABEL: func @rank1and2
func @rank1and2(%arg0: tensor<?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
return %0 : tensor<?x?xf32>
}