mirror of https://github.com/llvm/torch-mlir
21 lines
753 B
MLIR
21 lines
753 B
MLIR
// RUN: npcomp-run-mlir %s \
|
|
// RUN: -invoke matmul \
|
|
// RUN: -arg-value="dense<[[1.0, 0.0, 1.0], [1.0, 1.0, 1.0]]> : tensor<2x3xf32>" \
|
|
// RUN: -arg-value="dense<[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]> : tensor<3x2xf32>" \
|
|
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
|
|
// RUN: | FileCheck %s
|
|
|
|
// Basic correctness check:
|
|
// [1 0 1] * [1 2] = [6 8]
|
|
// [1 1 1] [3 4] [9 12]
|
|
// [5 6]
|
|
|
|
// CHECK: output #0: dense<[
|
|
// CHECK-SAME: [6.000000e+00, 8.000000e+00], [9.000000e+00, 1.200000e+01]
|
|
// CHECK-SAME: ]> : tensor<2x2xf32>
|
|
func @matmul(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
|
|
%0 = tcf.matmul %arg0, %arg1 : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32>
|
|
return %0 : tensor<?x?xf32>
|
|
}
|
|
|