mirror of https://github.com/llvm/torch-mlir
26 lines
1.1 KiB
MLIR
26 lines
1.1 KiB
MLIR
// RUN: npcomp-opt <%s -convert-numpy-to-tcf | FileCheck %s --dump-input=fail
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// CHECK-LABEL: func @unknownBuiltinUfunc
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func @unknownBuiltinUfunc(%arg0: tensor<?xf32>, %arg1: tensor<?x?xf32>) -> tensor<*xf32> {
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// CHECK: numpy.builtin_ufunc_call
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// CHECK-NOT: tcf.add
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%0 = numpy.builtin_ufunc_call<"NON_EXISTING"> (%arg0, %arg1) : (tensor<?xf32>, tensor<?x?xf32>) -> tensor<*xf32>
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return %0 : tensor<*xf32>
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}
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// CHECK-LABEL: func @illagalTernary
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func @illagalTernary(%arg0: tensor<?xf32>, %arg1: tensor<?x?xf32>) -> tensor<*xf32> {
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// CHECK: numpy.builtin_ufunc_call
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// CHECK-NOT: tcf.add
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%0 = numpy.builtin_ufunc_call<"numpy.add"> (%arg0, %arg1, %arg0) : (tensor<?xf32>, tensor<?x?xf32>, tensor<?xf32>) -> tensor<*xf32>
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return %0 : tensor<*xf32>
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}
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// CHECK-LABEL: func @numpyAdd
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func @numpyAdd(%arg0: tensor<?xf32>, %arg1: tensor<?x?xf32>) -> tensor<*xf32> {
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// CHECK: tcf.add %arg0, %arg1 : (tensor<?xf32>, tensor<?x?xf32>) -> tensor<*xf32>
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%0 = numpy.builtin_ufunc_call<"numpy.add"> (%arg0, %arg1) : (tensor<?xf32>, tensor<?x?xf32>) -> tensor<*xf32>
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return %0 : tensor<*xf32>
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}
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