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

[Cullen Rhodes]

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@@ -1609,6 +1610,19 @@ static LogicalResult reductionPreconditions(LinalgOp op) {
 }
 
 static LogicalResult vectorizeDynamicLinalgOpPrecondition(linalg::LinalgOp op) {
+  // Support dynamic shapes in 1D depthwise convolution, but only in the
+  // _channel_ dimension. That's exclusively to support scalable vectorisation.
+  if (auto conv = dyn_cast<linalg::DepthwiseConv1DNwcWcOp>(op.getOperation())) {
+    auto lhsShaped = op.getDpsInputOperand(0)->get();
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c-rhodes wrote:

ok, I'd drop it so it's clearly distinguishable from `lhsShape`, the fact it's a ShapedType can also be easily inferred from the non-checking cast below.

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