From c34de60ea3a0f58ac8d21d6176356161ba5cc875 Mon Sep 17 00:00:00 2001
From: Alexander Belyaev <pifon@google.com>
Date: Tue, 25 Oct 2022 19:17:17 +0200
Subject: [PATCH] Revert "[mlir] Add vectorization tests for
 linalg.map,reduce,transpose."

This reverts commit 2f88268fc109a1845285e125dfc19b8b75c137a0.

I will take a look what's happening with vectorization.mlir and why it
works on my machine and not upstream. Reverting for now.
---
 mlir/test/Dialect/Linalg/vectorization.mlir | 68 ---------------------
 1 file changed, 68 deletions(-)

diff --git a/mlir/test/Dialect/Linalg/vectorization.mlir b/mlir/test/Dialect/Linalg/vectorization.mlir
index 39c6d9df3f2754..8a83c3137e6a0f 100644
--- a/mlir/test/Dialect/Linalg/vectorization.mlir
+++ b/mlir/test/Dialect/Linalg/vectorization.mlir
@@ -1522,71 +1522,3 @@ transform.sequence failures(propagate) {
   %1 = get_closest_isolated_parent %0 : (!pdl.operation) -> !pdl.operation
   %2 = transform.structured.vectorize %1
 }
-
-// -----
-
-func.func @vectorize_map(%arg0: memref<64xf32>,
-    %arg1: memref<64xf32>, %arg2: memref<64xf32>) {
-  linalg.map ins(%arg0, %arg1 : memref<64xf32>, memref<64xf32>)
-             outs(%arg2 : memref<64xf32>)
-    (%in: f32, %in_0: f32) {
-      %0 = arith.addf %in, %in_0 : f32
-      linalg.yield %0 : f32
-    }
-  return
-}
-// CHECK-LABEL: func @vectorize_map
-// CHECK:         %[[LHS:.*]] = vector.transfer_read
-// CHECK-NEXT:    %[[RHS:.*]] = vector.transfer_read
-// CHECK-NEXT:    arith.addf %[[LHS]], %[[RHS]] : vector<64xf32>
-
-transform.sequence failures(propagate) {
-^bb1(%arg1: !pdl.operation):
-  %0 = transform.structured.match ops{["linalg.map"]} in %arg1
-  %1 = get_closest_isolated_parent %0 : (!pdl.operation) -> !pdl.operation
-  %2 = transform.structured.vectorize %1
-}
-
-// -----
-
-func.func @vectorize_transpose(%arg0: memref<16x32x64xf32>,
-                               %arg1: memref<32x64x16xf32>) {
-  linalg.transpose ins(%arg0 : memref<16x32x64xf32>)
-                   outs(%arg1 : memref<32x64x16xf32>) permutation = [1, 2, 0]
-  return
-}
-// CHECK-LABEL: func @vectorize_transpose
-// CHECK:         %[[FIRST:.*]] = vector.transpose
-// CHECK-SAME:      [2, 0, 1] : vector<32x64x16xf32> to vector<16x32x64xf32>
-// CHECK-NEXT:    vector.transpose %[[FIRST]]
-// CHECK-SAME:      [1, 2, 0] : vector<16x32x64xf32> to vector<32x64x16xf32>
-
-transform.sequence failures(propagate) {
-^bb1(%arg1: !pdl.operation):
-  %0 = transform.structured.match ops{["linalg.transpose"]} in %arg1
-  %1 = get_closest_isolated_parent %0 : (!pdl.operation) -> !pdl.operation
-  %2 = transform.structured.vectorize %1
-}
-
-// -----
-
-func.func @vectorize_reduce(%arg0: memref<16x32x64xf32>,
-                  %arg1: memref<16x64xf32>) {
-  linalg.reduce ins(%arg0 : memref<16x32x64xf32>)
-                outs(%arg1 : memref<16x64xf32>) dimensions = [1]
-    (%in: f32, %init: f32) {
-      %0 = arith.addf %in, %init : f32
-      linalg.yield %0 : f32
-    }
-  return
-}
-// CHECK-LABEL: func @vectorize_reduce
-// CHECK:         vector.multi_reduction <add>
-// CHECK-SAME:    : vector<16x32x64xf32> to vector<16x64xf32>
-
-transform.sequence failures(propagate) {
-^bb1(%arg1: !pdl.operation):
-  %0 = transform.structured.match ops{["linalg.reduce"]} in %arg1
-  %1 = get_closest_isolated_parent %0 : (!pdl.operation) -> !pdl.operation
-  %2 = transform.structured.vectorize %1
-}