[Mlir-commits] [mlir] 7003e25 - [mlir][sparse] code formatting (NFC) (#74779)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Thu Dec 7 15:46:28 PST 2023
Author: Aart Bik
Date: 2023-12-07T15:46:24-08:00
New Revision: 7003e255d3f1fbff3b2ef3052d478b65ec555963
URL: https://github.com/llvm/llvm-project/commit/7003e255d3f1fbff3b2ef3052d478b65ec555963
DIFF: https://github.com/llvm/llvm-project/commit/7003e255d3f1fbff3b2ef3052d478b65ec555963.diff
LOG: [mlir][sparse] code formatting (NFC) (#74779)
Added:
Modified:
mlir/test/Integration/Dialect/SparseTensor/CPU/dual_sparse_conv_2d.mlir
mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir
Removed:
################################################################################
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/dual_sparse_conv_2d.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/dual_sparse_conv_2d.mlir
index 7825e8fe9bafa4..6c35e2b51ed8f4 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/dual_sparse_conv_2d.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/dual_sparse_conv_2d.mlir
@@ -41,8 +41,8 @@
module {
func.func @conv2d(%input: tensor<8x8xi32>,
- %filter: tensor<3x3xi32>,
- %output: tensor<6x6xi32>) -> tensor<6x6xi32> {
+ %filter: tensor<3x3xi32>,
+ %output: tensor<6x6xi32>) -> tensor<6x6xi32> {
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32>, tensor<3x3xi32>)
outs (%output: tensor<6x6xi32>) -> tensor<6x6xi32>
@@ -50,7 +50,7 @@ module {
}
func.func @conv2d_all_sparse_DCSR(%input: tensor<8x8xi32, #DCSR>,
- %filter: tensor<3x3xi32, #DCSR>) -> tensor<6x6xi32, #DCSR> {
+ %filter: tensor<3x3xi32, #DCSR>) -> tensor<6x6xi32, #DCSR> {
%s = tensor.empty() : tensor<6x6xi32, #DCSR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #DCSR>, tensor<3x3xi32, #DCSR>)
@@ -59,7 +59,7 @@ module {
}
func.func @conv2d_all_sparse_CSR(%input: tensor<8x8xi32, #CSR>,
- %filter: tensor<3x3xi32, #CSR>) -> tensor<6x6xi32, #CSR> {
+ %filter: tensor<3x3xi32, #CSR>) -> tensor<6x6xi32, #CSR> {
%s = tensor.empty() : tensor<6x6xi32, #CSR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #CSR>, tensor<3x3xi32, #CSR>)
@@ -68,7 +68,7 @@ module {
}
func.func @conv2d_all_sparse_CD(%input: tensor<8x8xi32, #CDR>,
- %filter: tensor<3x3xi32, #CDR>) -> tensor<6x6xi32, #CDR> {
+ %filter: tensor<3x3xi32, #CDR>) -> tensor<6x6xi32, #CDR> {
%s = tensor.empty() : tensor<6x6xi32, #CDR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #CDR>, tensor<3x3xi32, #CDR>)
@@ -77,7 +77,7 @@ module {
}
func.func @conv2d_all_sparse_CSC(%input: tensor<8x8xi32, #CSC>,
- %filter: tensor<3x3xi32, #CSC>) -> tensor<6x6xi32, #CSC> {
+ %filter: tensor<3x3xi32, #CSC>) -> tensor<6x6xi32, #CSC> {
%s = tensor.empty() : tensor<6x6xi32, #CSC>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #CSC>, tensor<3x3xi32, #CSC>)
diff --git a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir
index 80946f5388520a..f2907db7d825b6 100644
--- a/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir
+++ b/mlir/test/Integration/Dialect/SparseTensor/CPU/sparse_conv_2d.mlir
@@ -46,8 +46,8 @@
module {
func.func @conv2d(%input: tensor<8x8xi32>,
- %filter: tensor<3x3xi32>,
- %output: tensor<6x6xi32>) -> tensor<6x6xi32> {
+ %filter: tensor<3x3xi32>,
+ %output: tensor<6x6xi32>) -> tensor<6x6xi32> {
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32>, tensor<3x3xi32>)
outs (%output: tensor<6x6xi32>) -> tensor<6x6xi32>
@@ -70,7 +70,7 @@ module {
}
func.func @conv2d_sparse_out(%input: tensor<8x8xi32>,
- %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #DCSR> {
+ %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #DCSR> {
%s = tensor.empty() : tensor<6x6xi32, #DCSR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32>, tensor<3x3xi32>)
@@ -79,7 +79,7 @@ module {
}
func.func @conv2d_all_sparse_DCSR(%input: tensor<8x8xi32, #DCSR>,
- %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #DCSR> {
+ %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #DCSR> {
%s = tensor.empty() : tensor<6x6xi32, #DCSR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #DCSR>, tensor<3x3xi32>)
@@ -88,7 +88,7 @@ module {
}
func.func @conv2d_all_sparse_CSR(%input: tensor<8x8xi32, #CSR>,
- %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #CSR> {
+ %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #CSR> {
%s = tensor.empty() : tensor<6x6xi32, #CSR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #CSR>, tensor<3x3xi32>)
@@ -97,7 +97,7 @@ module {
}
func.func @conv2d_all_sparse_CD(%input: tensor<8x8xi32, #CDR>,
- %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #CDR> {
+ %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #CDR> {
%s = tensor.empty() : tensor<6x6xi32, #CDR>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #CDR>, tensor<3x3xi32>)
@@ -106,7 +106,7 @@ module {
}
func.func @conv2d_all_sparse_CSC(%input: tensor<8x8xi32, #CSC>,
- %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #CSC> {
+ %filter: tensor<3x3xi32>) -> tensor<6x6xi32, #CSC> {
%s = tensor.empty() : tensor<6x6xi32, #CSC>
%0 = linalg.conv_2d
ins (%input, %filter: tensor<8x8xi32, #CSC>, tensor<3x3xi32>)
@@ -125,7 +125,6 @@ module {
[ -1, 0, 1 ]
]> : tensor<3x3xi32>
-
%input = arith.constant dense<[
[ 1, 2, 3, 4, 0, 6, 7, 8 ],
[ 2, 2, 4, 4, 0, 0, 6, 8 ],
@@ -270,7 +269,6 @@ module {
: tensor<6x6xi32>, vector<6x6xi32>
vector.print %v : vector<6x6xi32>
-
// Release the resources.
bufferization.dealloc_tensor %sparse_input_DCSR : tensor<8x8xi32, #DCSR>
bufferization.dealloc_tensor %sparse_input_CSR : tensor<8x8xi32, #CSR>
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