[Mlir-commits] [mlir] [MLIR] Allowing unsupported conv2d op to fail gracefully from vectorization (PR #130181)

[Zhuoran Yin]

================
@@ -112,6 +112,25 @@ module attributes {transform.with_named_sequence} {
 
 // -----
 
+func.func @conv2d(%3: tensor<1x64x58x58xf32>, %4:  tensor<64x64x3x3xf32>) {
+  %cst = arith.constant 0.000000e+00 : f32
+  %5 = tensor.empty() : tensor<1x64x56x56xf32>
+  %6 = linalg.fill ins(%cst : f32) outs(%5 : tensor<1x64x56x56xf32>) -> tensor<1x64x56x56xf32>
----------------
jerryyin wrote:

Good point, will do.

https://github.com/llvm/llvm-project/pull/130181