mirror of https://github.com/llvm/torch-mlir
26 lines
1.7 KiB
MLIR
26 lines
1.7 KiB
MLIR
// RUN: npcomp-opt <%s -convert-tcf-to-linalg | FileCheck %s --dump-input=fail
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// CHECK-LABEL: func @tcf_matmul(
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// CHECK-SAME: %[[LHS:.*]]: tensor<?x?xf32>,
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// CHECK-SAME: %[[RHS:.*]]: tensor<?x?xf32>) -> tensor<?x?xf32> {
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// CHECK: %[[C0F32:.*]] = constant 0.000000e+00 : f32
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// CHECK: %[[C0:.*]] = constant 0 : index
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// CHECK: %[[C1:.*]] = constant 1 : index
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// CHECK: %[[LHSK:.*]] = dim %[[LHS]], %[[C1]] : tensor<?x?xf32>
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// CHECK: %[[RHSK:.*]] = dim %[[RHS]], %[[C0]] : tensor<?x?xf32>
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// CHECK: %[[KEQUAL:.*]] = cmpi "eq", %[[LHSK]], %[[RHSK]] : index
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// CHECK: %[[WINESS:.*]] = shape.cstr_require %[[KEQUAL]], "mismatching contracting dimension for matmul"
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// CHECK: %[[RET:.*]] = shape.assuming %[[WINESS]] -> (tensor<?x?xf32>) {
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// CHECK: %[[LHSROWS:.*]] = dim %[[LHS]], %[[C0]] : tensor<?x?xf32>
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// CHECK: %[[RHSCOLS:.*]] = dim %[[RHS]], %[[C1]] : tensor<?x?xf32>
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// CHECK: %[[SHAPE:.*]] = tensor_from_elements %[[LHSROWS]], %[[RHSCOLS]] : tensor<2xindex>
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// CHECK: %[[INIT_TENSOR:.*]] = tcp.splatted %[[C0F32]], %[[SHAPE]] : (f32, tensor<2xindex>) -> tensor<?x?xf32>
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// CHECK: %[[MATMUL:.*]] = linalg.matmul ins(%[[LHS]], %[[RHS]] : tensor<?x?xf32>, tensor<?x?xf32>) init(%[[INIT_TENSOR]] : tensor<?x?xf32>) -> tensor<?x?xf32>
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// CHECK: shape.assuming_yield %[[MATMUL]] : tensor<?x?xf32>
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// CHECK: }
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// CHECK: return %[[RET:.*]] : tensor<?x?xf32>
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func @tcf_matmul(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
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%0 = tcf.matmul %arg0, %arg1 : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
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return %0 : tensor<?x?xf32>
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}
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