// RUN: mlir-opt %s -test-linalg-codegen-strategy="anchor-func=conv anchor-op=linalg.conv_2d_nhwc_hwcf tile-sizes=1,1,8,32,1,1,8 fuse pad decompose vectorize vectorize-padding" -split-input-file | FileCheck %s --check-prefix=CHECK-DECOMP
func @conv(%arg0: tensor<8x18x17x32xf32>, %arg1: tensor<3x3x32x64xf32>, %arg2: tensor<8x16x15x64xf32>) -> tensor<8x16x15x64xf32> {
%cst = arith.constant 0.000000e+00 : f32
%0 = linalg.fill(%cst, %arg2) : f32, tensor<8x16x15x64xf32> -> tensor<8x16x15x64xf32>
// Check the conv is padded by a rank-reducing vector transfer op pair.
// CHECK-DECOMP: vector.transfer_read {{.*}}: tensor<1x1x?x8xf32>, vector<1x8x8xf32>
// CHECK-DECOMP: vector.outerproduct
// CHECK-DECOMP: vector.transfer_write {{.*}}: vector<1x8x32xf32>, tensor<1x1x?x32xf32>
%1 = linalg.conv_2d_nhwc_hwcf {dilations = dense<1> : tensor<2xi64>, strides = dense<1> : tensor<2xi64>} ins(%arg0, %arg1 : tensor<8x18x17x32xf32>, tensor<3x3x32x64xf32>) outs(%0 : tensor<8x16x15x64xf32>) -> tensor<8x16x15x64xf32>
return %1 : tensor<8x16x15x64xf32>
}