[Mlir-commits] [mlir] 81ead8a - [mlir][Linalg] Temporarily circumvent TensorConstant bufferize bug
Nicolas Vasilache
llvmlistbot at llvm.org
Mon Oct 12 13:25:17 PDT 2020
Author: Nicolas Vasilache
Date: 2020-10-12T20:23:57Z
New Revision: 81ead8a53525abe1f149b3c5ad1bb44ee258d10f
URL: https://github.com/llvm/llvm-project/commit/81ead8a53525abe1f149b3c5ad1bb44ee258d10f
DIFF: https://github.com/llvm/llvm-project/commit/81ead8a53525abe1f149b3c5ad1bb44ee258d10f.diff
LOG: [mlir][Linalg] Temporarily circumvent TensorConstant bufferize bug
The TensorConstantOp bufferize conversion pattern has a bug that
makes it incorrect in the case of vectors whose alignment is not
the natural alignment. Circumvent it temporarily by using a power of 2.
Differential Revision: https://reviews.llvm.org/D89265
Added:
Modified:
mlir/integration_test/Dialect/Linalg/CPU/test-tensor-matmul.mlir
Removed:
################################################################################
diff --git a/mlir/integration_test/Dialect/Linalg/CPU/test-tensor-matmul.mlir b/mlir/integration_test/Dialect/Linalg/CPU/test-tensor-matmul.mlir
index 2c01a688cfa0..b706c9cef976 100644
--- a/mlir/integration_test/Dialect/Linalg/CPU/test-tensor-matmul.mlir
+++ b/mlir/integration_test/Dialect/Linalg/CPU/test-tensor-matmul.mlir
@@ -4,13 +4,12 @@
// RUN: | FileCheck %s
func @main() {
- %A = constant dense<[[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]> : tensor<2x3xf32>
+ %A = constant dense<[[1.0, 2.0], [4.0, 5.0]]> : tensor<2x2xf32>
%B = constant dense<[[1.0, 2.0, 3.0, 4.0],
- [5.0, 6.0, 7.0, 8.0],
- [9.0, 10.0, 11.0, 12.0]]> : tensor<3x4xf32>
+ [5.0, 6.0, 7.0, 8.0]]> : tensor<2x4xf32>
%C = constant dense<1000.0> : tensor<2x4xf32>
- %D = linalg.matmul ins(%A, %B: tensor<2x3xf32>, tensor<3x4xf32>)
+ %D = linalg.matmul ins(%A, %B: tensor<2x2xf32>, tensor<2x4xf32>)
init(%C: tensor<2x4xf32>) -> tensor<2x4xf32>
%unranked = tensor_cast %D : tensor<2x4xf32> to tensor<*xf32>
@@ -18,8 +17,8 @@ func @main() {
// CHECK: Unranked Memref base@ = {{0x[-9a-f]*}}
// CHECK-SAME: rank = 2 offset = 0 sizes = [2, 4] strides = [4, 1] data =
- // CHECK-NEXT: [1038, 1044, 1050, 1056]
- // CHECK-NEXT: [1065, 1074, 1083, 1092]
+ // CHECK-NEXT: [1011, 1014, 1017, 1020]
+ // CHECK-NEXT: [1029, 1038, 1047, 1056]
return
}
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