[Mlir-commits] [mlir] [mlir][linalg] Enable masked vectorisation for depthwise convolutions (PR #81625)

[Cullen Rhodes]

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@@ -0,0 +1,187 @@
+// RUN: mlir-opt -split-input-file -transform-interpreter -cse %s | FileCheck %s
+
+func.func @depthwise_conv1d_nwc_wc_1x8x3xi8_tensor(%input: tensor<1x8x?xi8>,
+                                                   %filter: tensor<1x?xi8>,
+                                                   %output: tensor<1x8x?xi8>) -> (tensor<1x8x?xi8>) {
+  %res = linalg.depthwise_conv_1d_nwc_wc
+    {dilations = dense<1> : vector<1xi64>,
+    strides = dense<1> : vector<1xi64>}
+    ins(%input, %filter : tensor<1x8x?xi8>, tensor<1x?xi8>)
+    outs(%output : tensor<1x8x?xi8>) -> tensor<1x8x?xi8>
+  return %res : tensor<1x8x?xi8>
+}
+
+module attributes {transform.with_named_sequence} {
+  transform.named_sequence @__transform_main(%arg0: !transform.any_op {transform.readonly}) {
+    %0 = transform.structured.match ops{["linalg.depthwise_conv_1d_nwc_wc"]} in %arg0 : (!transform.any_op) -> !transform.any_op
+    transform.structured.vectorize %0 vector_sizes [1, 8, 4, 1] : !transform.any_op
+    transform.yield
+  }
+}
+
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c-rhodes wrote:

this isn't scalable as the filename suggests

https://github.com/llvm/llvm-project/pull/81625