[Mlir-commits] [mlir] cc6462a - [mlir][tensor][bufferize][NFC] Clean up test case
Matthias Springer
llvmlistbot at llvm.org
Tue Jul 5 07:14:37 PDT 2022
Author: Matthias Springer
Date: 2022-07-05T16:10:39+02:00
New Revision: cc6462a475e20f6b8f04c04e9039d9198be523be
URL: https://github.com/llvm/llvm-project/commit/cc6462a475e20f6b8f04c04e9039d9198be523be
DIFF: https://github.com/llvm/llvm-project/commit/cc6462a475e20f6b8f04c04e9039d9198be523be.diff
LOG: [mlir][tensor][bufferize][NFC] Clean up test case
Insert -split-input-file flag to make the test cases more stable.
Differential Revision: https://reviews.llvm.org/D129143
Added:
Modified:
mlir/test/Dialect/Tensor/bufferize.mlir
Removed:
################################################################################
diff --git a/mlir/test/Dialect/Tensor/bufferize.mlir b/mlir/test/Dialect/Tensor/bufferize.mlir
index 5e1f2d25a6fc0..6a3c4e1f87a03 100644
--- a/mlir/test/Dialect/Tensor/bufferize.mlir
+++ b/mlir/test/Dialect/Tensor/bufferize.mlir
@@ -1,16 +1,4 @@
-// RUN: mlir-opt %s -tensor-bufferize -cse | FileCheck %s
-
- // CHECK-DAG: #[[$MAP0:.*]] = affine_map<(d0, d1)[s0, s1] -> (d0 * s1 + s0 + d1)>
- // CHECK-DAG: #[[$MAP1:.*]] = affine_map<(d0, d1)[s0] -> (d0 * 20 + s0 + d1)>
- // CHECK-DAG: #[[$MAP2:.*]] = affine_map<(d0, d1, d2, d3)[s0] -> (d0 * 140 + d1 * 20 + d2 * 5 + d3 + s0)>
- // CHECK-DAG: #[[$MAP3:.*]] = affine_map<(d0) -> (d0 + 1)>
- // CHECK-DAG: #[[$MAP4:.*]] = affine_map<() -> (1)>
- // CHECK-DAG: #[[$MAP5:.*]] = affine_map<(d0, d1) -> (d0 * 2 + d1)>
- // CHECK-DAG: #[[$MAP6:.*]] = affine_map<(d0) -> (d0 * 2)>
- // CHECK-DAG: #[[$MAP7:.*]] = affine_map<(d0, d1, d2)[s0] -> (d0 * 8 + s0 + d1 * 4 + d2)>
- // CHECK-DAG: #[[$MAP8:.*]] = affine_map<(d0)[s0] -> (d0 * 4 + s0)>
- // CHECK-DAG: #[[$MAP9:.*]] = affine_map<()[s0] -> (s0)>
- // CHECK-DAG: #[[$MAP10:.*]] = affine_map<(d0)[s0] -> (d0 + s0)>
+// RUN: mlir-opt %s -tensor-bufferize -cse -split-input-file | FileCheck %s
// CHECK-LABEL: func @dim(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<f32>,
@@ -23,6 +11,8 @@ func.func @dim(%arg0: tensor<f32>, %arg1: index) -> index {
return %0 : index
}
+// -----
+
// CHECK-LABEL: func @rank(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<*xf32>) -> index {
// CHECK: %[[MEMREF:.*]] = bufferization.to_memref %[[TENSOR]]
@@ -32,6 +22,8 @@ func.func @rank(%arg0: tensor<*xf32>) -> index {
return %0 : index
}
+// -----
+
// CHECK-LABEL: func @tensor.cast(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<?xindex>) -> tensor<2xindex> {
// CHECK: %[[MEMREF:.*]] = bufferization.to_memref %[[TENSOR]]
@@ -43,6 +35,8 @@ func.func @tensor.cast(%arg0: tensor<?xindex>) -> tensor<2xindex> {
return %0 : tensor<2xindex>
}
+// -----
+
// CHECK-LABEL: func @tensor.cast_from_unranked(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<*xf32>) -> tensor<2xf32> {
// CHECK: %[[MEMREF:.*]] = bufferization.to_memref %[[TENSOR]] : memref<*xf32>
@@ -54,6 +48,8 @@ func.func @tensor.cast_from_unranked(%arg0: tensor<*xf32>) -> tensor<2xf32> {
return %0 : tensor<2xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.cast_to_unranked(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<2xf32>) -> tensor<*xf32> {
// CHECK: %[[MEMREF:.*]] = bufferization.to_memref %[[TENSOR]] : memref<2xf32>
@@ -65,6 +61,8 @@ func.func @tensor.cast_to_unranked(%arg0: tensor<2xf32>) -> tensor<*xf32> {
return %0 : tensor<*xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.extract(
// CHECK-SAME: %[[TENSOR:.*]]: tensor<?xf32>,
// CHECK-SAME: %[[IDX:.*]]: index) -> f32 {
@@ -77,6 +75,8 @@ func.func @tensor.extract(%arg0: tensor<?xf32>, %arg1: index) -> f32 {
return %0 : f32
}
+// -----
+
// CHECK-LABEL: func @tensor.from_elements_0d(
// CHECK-SAME: %[[ELEM0:.*]]: index) -> tensor<index> {
// CHECK: %[[MEMREF:.*]] = memref.alloc() {{.*}} : memref<index>
@@ -88,6 +88,8 @@ func.func @tensor.from_elements_0d(%arg0: index) -> tensor<index> {
return %0 : tensor<index>
}
+// -----
+
// CHECK-LABEL: func @tensor.from_elements_1d(
// CHECK-SAME: %[[ELEM0:.*]]: index,
// CHECK-SAME: %[[ELEM1:.*]]: index) -> tensor<2xindex> {
@@ -103,6 +105,8 @@ func.func @tensor.from_elements_1d(%arg0: index, %arg1: index) -> tensor<2xindex
return %0 : tensor<2xindex>
}
+// -----
+
// CHECK-LABEL: func @tensor.from_elements_2d(
// CHECK-SAME: %[[ELEM0:.*]]: index, %[[ELEM1:.*]]: index)
// CHECK-SAME: -> tensor<3x2xindex> {
@@ -124,6 +128,8 @@ func.func @tensor.from_elements_2d(%arg0: index, %arg1: index) -> tensor<3x2xind
return %0 : tensor<3x2xindex>
}
+// -----
+
// CHECK-LABEL: func @tensor.from_elements_3d(
// CHECK-SAME: %[[F0:.*]]: f32
@@ -177,6 +183,8 @@ func.func @tensor.from_elements_3d(%f0 : f32) -> tensor<3x2x2xf32> {
return %0 : tensor<3x2x2xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.generate(
// CHECK-SAME: %[[ARG:.*]]: tensor<*xf32>,
// CHECK-SAME: %[[DYNAMIC_EXTENT:.*]]: index) -> tensor<?xindex> {
@@ -201,6 +209,8 @@ func.func @tensor.generate(%arg: tensor<*xf32>, %dynamic_extent: index) -> tenso
return %result : tensor<?xindex>
}
+// -----
+
// Additional test that checks the logic for intermixed static and dynamic
// extents.
//
@@ -227,6 +237,8 @@ func.func @tensor.generate_static_and_dynamic(%arg0: index) -> tensor<16x?xindex
return %result : tensor<16x?xindex>
}
+// -----
+
// CHECK-LABEL: func @tensor.generate_unknown_ops_in_body
func.func @tensor.generate_unknown_ops_in_body(%arg0: index) -> tensor<?xindex> {
// CHECK-NOT: tensor.generate
@@ -239,12 +251,16 @@ func.func @tensor.generate_unknown_ops_in_body(%arg0: index) -> tensor<?xindex>
return %tensor : tensor<?xindex>
}
+// -----
+
+ // CHECK-DAG: #[[$MAP0a:.*]] = affine_map<(d0, d1)[s0, s1] -> (d0 * s1 + s0 + d1)>
+
// CHECK-LABEL: func @tensor.extract_slice(
// CHECK-SAME: %[[t1:.*]]: tensor<?x?xf32>, %[[idx1:.*]]: index, %[[idx2:.*]]: index
func.func @tensor.extract_slice(
%t1: tensor<?x?xf32>, %idx1: index, %idx2: index) -> tensor<?x10xf32> {
// CHECK: %[[m:.*]] = bufferization.to_memref %[[t1]] : memref<?x?xf32>
- // CHECK: %[[r:.*]] = memref.subview %[[m]][5, %[[idx2]]] [%[[idx1]], 10] [1, 1] : memref<?x?xf32> to memref<?x10xf32, #[[$MAP0]]>
+ // CHECK: %[[r:.*]] = memref.subview %[[m]][5, %[[idx2]]] [%[[idx1]], 10] [1, 1] : memref<?x?xf32> to memref<?x10xf32, #[[$MAP0a]]>
%0 = tensor.extract_slice %t1[5, %idx2][%idx1, 10][1, 1]
: tensor<?x?xf32> to tensor<?x10xf32>
// CHECK: %[[r_tensor:.*]] = bufferization.to_tensor %[[r]]
@@ -252,13 +268,17 @@ func.func @tensor.extract_slice(
return %0 : tensor<?x10xf32>
}
+// -----
+
+// CHECK-DAG: #[[$MAP0b:.*]] = affine_map<(d0, d1)[s0, s1] -> (d0 * s1 + s0 + d1)>
+
// CHECK-LABEL: func @tensor.extract_slice_rank_reducing(
// CHECK-SAME: %[[t1:.*]]: tensor<?x10x?xf32>, %[[idx1:.*]]: index,
// CHECK-SAME: %[[idx2:.*]]: index
func.func @tensor.extract_slice_rank_reducing(
%t1: tensor<?x10x?xf32>, %idx1: index, %idx2: index) -> tensor<?x15xf32> {
// CHECK: %[[m1:.*]] = bufferization.to_memref %[[t1]] : memref<?x10x?xf32>
- // CHECK: %[[r:.*]] = memref.subview %[[m1]][5, %[[idx1]], 10] [%[[idx2]], 1, 15] [1, 1, 1] : memref<?x10x?xf32> to memref<?x15xf32, #[[$MAP0]]>
+ // CHECK: %[[r:.*]] = memref.subview %[[m1]][5, %[[idx1]], 10] [%[[idx2]], 1, 15] [1, 1, 1] : memref<?x10x?xf32> to memref<?x15xf32, #[[$MAP0b]]>
%0 = tensor.extract_slice %t1[5, %idx1, 10][%idx2, 1, 15][1, 1, 1]
: tensor<?x10x?xf32> to tensor<?x15xf32>
// CHECK: %[[r_tensor:.*]] = bufferization.to_tensor %[[r]]
@@ -266,6 +286,8 @@ func.func @tensor.extract_slice_rank_reducing(
return %0 : tensor<?x15xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.insert_slice(
// CHECK-SAME: %[[t1:.*]]: tensor<?x?xf32>, %[[t2:.*]]: tensor<?x10xf32>,
// CHECK-SAME: %[[idx1:.*]]: index, %[[idx2:.*]]: index
@@ -289,6 +311,8 @@ func.func @tensor.insert_slice(%t1: tensor<?x?xf32>, %t2: tensor<?x10xf32>,
return %0 : tensor<?x?xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.insert(
// CHECK-SAME: %[[t1:.*]]: tensor<5xf32>, %[[idx1:.*]]: index,
// CHECK-SAME: %[[f:.*]]: f32
@@ -304,6 +328,8 @@ func.func @tensor.insert(%t1: tensor<5xf32>, %idx1: index, %f: f32) -> tensor<5x
return %0 : tensor<5xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.expand_shape(
// CHECK-SAME: %[[t1:.*]]: tensor<?x10xf32>
func.func @tensor.expand_shape(%t1: tensor<?x10xf32>) -> tensor<2x?x10xf32> {
@@ -318,16 +344,21 @@ func.func @tensor.expand_shape(%t1: tensor<?x10xf32>) -> tensor<2x?x10xf32> {
return %0 : tensor<2x?x10xf32>
}
+// -----
+
+// CHECK-DAG: #[[$MAP1b:.*]] = affine_map<(d0, d1)[s0] -> (d0 * 20 + s0 + d1)>
+// CHECK-DAG: #[[$MAP2b:.*]] = affine_map<(d0, d1, d2, d3)[s0] -> (d0 * 140 + d1 * 20 + d2 * 5 + d3 + s0)>
+
// CHECK-LABEL: func @tensor.expand_shape_of_slice(
// CHECK-SAME: %[[t1:.*]]: tensor<?x20xf32>
func.func @tensor.expand_shape_of_slice(
%t1: tensor<?x20xf32>, %o1: index, %s1: index) -> tensor<?x7x2x5xf32> {
// CHECK: %[[m1:.*]] = bufferization.to_memref %[[t1]] : memref<?x20xf32>
- // CHECK: %[[subview:.*]] = memref.subview %[[m1]][%{{.*}}, 5] [%{{.*}}, 10] [1, 1] : memref<?x20xf32> to memref<?x10xf32, #[[$MAP1]]>
+ // CHECK: %[[subview:.*]] = memref.subview %[[m1]][%{{.*}}, 5] [%{{.*}}, 10] [1, 1] : memref<?x20xf32> to memref<?x10xf32, #[[$MAP1b]]>
%0 = tensor.extract_slice %t1[%o1, 5][%s1, 10][1, 1] :
tensor<?x20xf32> to tensor<?x10xf32>
// CHECK: %[[expanded:.*]] = memref.expand_shape %[[subview]] [
- // CHECK-SAME: [0, 1], [2, 3]] : memref<?x10xf32, #[[$MAP1]]> into memref<?x7x2x5xf32, #[[$MAP2]]>
+ // CHECK-SAME: [0, 1], [2, 3]] : memref<?x10xf32, #[[$MAP1b]]> into memref<?x7x2x5xf32, #[[$MAP2b]]>
%1 = tensor.expand_shape %0 [[0, 1], [2, 3]] :
tensor<?x10xf32> into tensor<?x7x2x5xf32>
// CHECK: %[[r:.*]] = bufferization.to_tensor %[[expanded]]
@@ -335,6 +366,11 @@ func.func @tensor.expand_shape_of_slice(
return %1 : tensor<?x7x2x5xf32>
}
+// -----
+
+// CHECK-DAG: #[[$MAP9:.*]] = affine_map<()[s0] -> (s0)>
+// CHECK-DAG: #[[$MAP10:.*]] = affine_map<(d0)[s0] -> (d0 + s0)>
+
// CHECK-LABEL: func @tensor.expand_shape_of_scalar_slice(
// CHECK-SAME: %[[t1:.*]]: tensor<?xf32>
func.func @tensor.expand_shape_of_scalar_slice(
@@ -349,6 +385,8 @@ func.func @tensor.expand_shape_of_scalar_slice(
return %1 : tensor<1xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.collapse_shape(
// CHECK-SAME: %[[t1:.*]]: tensor<2x?x?xf32>
func.func @tensor.collapse_shape(%t1: tensor<2x?x?xf32>) -> tensor<?x?xf32> {
@@ -363,6 +401,8 @@ func.func @tensor.collapse_shape(%t1: tensor<2x?x?xf32>) -> tensor<?x?xf32> {
return %0 : tensor<?x?xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.collapse_shape_to_scalar(
// CHECK-SAME: %[[t1:.*]]: tensor<1x1x1xf32>
func.func @tensor.collapse_shape_to_scalar(%t1: tensor<1x1x1xf32>) -> tensor<f32> {
@@ -376,6 +416,11 @@ func.func @tensor.collapse_shape_to_scalar(%t1: tensor<1x1x1xf32>) -> tensor<f32
return %0 : tensor<f32>
}
+// -----
+
+// CHECK-DAG: #[[$MAP3:.*]] = affine_map<(d0) -> (d0 + 1)>
+// CHECK-DAG: #[[$MAP4:.*]] = affine_map<() -> (1)>
+
// CHECK-LABEL: func @tensor.collapse_shape_of_slice(
func.func @tensor.collapse_shape_of_slice(%arg0: tensor<2xi32>) -> tensor<i32> {
// CHECK: memref.subview %{{.*}}[1] [1] [1] : memref<2xi32> to memref<1xi32, #[[$MAP3]]>
@@ -385,6 +430,8 @@ func.func @tensor.collapse_shape_of_slice(%arg0: tensor<2xi32>) -> tensor<i32> {
return %1 : tensor<i32>
}
+// -----
+
// CHECK-LABEL: func @tensor.collapse_shape_of_slice2(
func.func @tensor.collapse_shape_of_slice2(
%arg0: tensor<?x?x?x?xi64>, %o1: index, %o2: index, %o3: index, %o4: index)
@@ -402,6 +449,11 @@ func.func @tensor.collapse_shape_of_slice2(
return %1 : tensor<87x63648xi64>
}
+// -----
+
+// CHECK-DAG: #[[$MAP5:.*]] = affine_map<(d0, d1) -> (d0 * 2 + d1)>
+// CHECK-DAG: #[[$MAP6:.*]] = affine_map<(d0) -> (d0 * 2)>
+
// CHECK-LABEL: func @tensor.collapse_shape_of_slice3(
// CHECK-SAME: %[[t1:.*]]: tensor<1x2xf32>
func.func @tensor.collapse_shape_of_slice3(%t1: tensor<1x2xf32>) -> tensor<1xf32> {
@@ -413,6 +465,11 @@ func.func @tensor.collapse_shape_of_slice3(%t1: tensor<1x2xf32>) -> tensor<1xf32
return %1 : tensor<1xf32>
}
+// -----
+
+// CHECK-DAG: #[[$MAP7:.*]] = affine_map<(d0, d1, d2)[s0] -> (d0 * 8 + s0 + d1 * 4 + d2)>
+// CHECK-DAG: #[[$MAP8:.*]] = affine_map<(d0)[s0] -> (d0 * 4 + s0)>
+
// CHECK-LABEL: func @tensor.collapse_shape_of_slice4(
// CHECK-SAME: %[[t1:.*]]: tensor<?x2x4xf32>,
// CHECK-SAME: %[[OFFSET:.*]]: index) -> tensor<8xf32> {
@@ -425,6 +482,8 @@ func.func @tensor.collapse_shape_of_slice4(%arg0: tensor<?x2x4xf32>, %offset: in
return %ret: tensor<8xf32>
}
+// -----
+
// CHECK-LABEL: func @tensor.reshape(
// CHECK-SAME: %[[t1:.*]]: tensor<?x10xf32>
func.func @tensor.reshape(%t1: tensor<?x10xf32>) -> tensor<2x2x5xf32> {
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