mirror of https://github.com/llvm/torch-mlir
22 lines
1.2 KiB
MLIR
22 lines
1.2 KiB
MLIR
// RUN: npcomp-opt <%s -convert-tcf-to-tcp | FileCheck %s --dump-input=fail
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// CHECK-LABEL: func @tcf_add(
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// CHECK-SAME: %[[LHS:.*]]: tensor<?xf32>,
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// CHECK-SAME: %[[RHS:.*]]: tensor<?xf32>) -> tensor<?xf32> {
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// CHECK: %[[LHSSHAPE:.*]] = shape.shape_of %[[LHS]]
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// CHECK: %[[RHSSHAPE:.*]] = shape.shape_of %[[RHS]]
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// CHECK: %[[WITNESS:.*]] = shape.cstr_broadcastable %[[LHSSHAPE]], %[[RHSSHAPE]]
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// CHECK: %[[RET:.*]] = shape.assuming %[[WITNESS]] -> (tensor<?xf32>) {
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// CHECK: %[[RESULTSHAPE:.*]] = shape.broadcast %[[LHSSHAPE]], %[[RHSSHAPE]]
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// CHECK: %[[LHSBCAST:.*]] = "tcp.broadcast_to"(%[[LHS]], %[[RESULTSHAPE]])
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// CHECK: %[[RHSBCAST:.*]] = "tcp.broadcast_to"(%[[RHS]], %[[RESULTSHAPE]])
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// CHECK: %[[ADD:.*]] = "tcp.add"(%[[LHSBCAST]], %[[RHSBCAST]])
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// CHECK: shape.assuming_yield %[[ADD]] : tensor<?xf32>
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// CHECK: }
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// CHECK: return %[[RET:.*]] : tensor<?xf32>
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// CHECK: }
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func @tcf_add(%arg0: tensor<?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
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%0 = "tcf.add"(%arg0, %arg1) : (tensor<?xf32>, tensor<?xf32>) -> tensor<?xf32>
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return %0 : tensor<?xf32>
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}
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