[Mlir-commits] [mlir] [mlir][SVE] Add e2e for 1D depthwise WC convolution (PR #85225)

[Cullen Rhodes]

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@@ -0,0 +1,62 @@
+// DEFINE: %{compile} =  mlir-opt %s \
+// DEFINE:    -transform-interpreter -test-transform-dialect-erase-schedule \
+// DEFINE:    -one-shot-bufferize="bufferize-function-boundaries" -lower-vector-mask -cse -canonicalize -convert-vector-to-scf -arm-sve-legalize-vector-storage \
+// DEFINE:    -convert-vector-to-llvm="enable-arm-sve" -test-lower-to-llvm -o %t
+// DEFINE: %{entry_point} = conv
+// DEFINE: %{run} = %mcr_aarch64_cmd %t -e %{entry_point} -entry-point-result=void --march=aarch64 --mattr="+sve"\
+// DEFINE:    -shared-libs=%mlir_runner_utils,%mlir_c_runner_utils
+
+// RUN: %{compile} | %{run} | FileCheck %s
+
+func.func @conv() {
+  // Define input/output tensors
+  %input_init = tensor.empty() : tensor<1x8x6xi32>
+  %output_init = tensor.empty() : tensor<1x7x6xi32>
+
+  %five = arith.constant 5 : i32
+  %zero = arith.constant 0 : i32
+  %input = linalg.fill ins(%five : i32) outs(%input_init : tensor<1x8x6xi32>) -> tensor<1x8x6xi32>
+  %output = linalg.fill ins(%zero : i32) outs(%output_init : tensor<1x7x6xi32>) -> tensor<1x7x6xi32>
+
+  // Define the filter tensor
+  %filter = arith.constant dense<[
+    [ 1,  2, 3, 4, 5, 6],
+    [ 11, 12, 13, 14, 15, 16]
+  ]> : tensor<2x6xi32>
+
+  // static sizes -> dynamic sizes
+  %input_dyn = tensor.cast %input_init : tensor<1x8x6xi32> to tensor<1x8x?xi32>
+  %output_dyn = tensor.cast %output : tensor<1x7x6xi32> to tensor<1x7x?xi32>
+  %filter_dyn = tensor.cast %filter : tensor<2x6xi32> to tensor<2x?xi32>
+
+  // Run the convolution
+  %res = linalg.depthwise_conv_1d_nwc_wc
+    {dilations = dense<1> : vector<1xi64>,
+    strides = dense<1> : vector<1xi64>}
----------------
c-rhodes wrote:

nit: can be dropped

https://github.com/llvm/llvm-project/pull/85225