[Mlir-commits] [mlir] d4c6478 - [mlir][vector] Update tests for collapse 1/n (nfc) (#94490)
llvmlistbot at llvm.org
llvmlistbot at llvm.org
Tue Jun 11 05:56:50 PDT 2024
Author: Andrzej Warzyński
Date: 2024-06-11T13:56:45+01:00
New Revision: d4c6478cf2c0a8e2bebc66eb7eff4d0f11626d9a
URL: https://github.com/llvm/llvm-project/commit/d4c6478cf2c0a8e2bebc66eb7eff4d0f11626d9a
DIFF: https://github.com/llvm/llvm-project/commit/d4c6478cf2c0a8e2bebc66eb7eff4d0f11626d9a.diff
LOG: [mlir][vector] Update tests for collapse 1/n (nfc) (#94490)
The main goal of this PR (and subsequent PRs), is to add more tests with
scalable vectors to:
* vector-transfer-collapse-inner-most-dims.mlir
There's quite a few cases to consider, hence this is split into multiple
PRs. In this PR, the very first test is complemented with all the
possible combinations:
* scalable (rather than fixed) unit trailing dim,
* dynamic (rather than static) trailing dim in the source memref.
Also,
* `@leading_scalable_dimension_transfer_read` and
`@trailing_scalable_one_dim_transfer_read`,
are replaced with:
* `@contiguous_inner_most_scalable_inner_dim` and
`@negative_scalable_unit_dim`,
respectively, and added to the list above (i.e. alongside other
variations for the very first test).
In addition:
* "_view" is removed from function names (it's not clear to me what it
was meant to signify)
* extra comments are added to separate tests for vector.transfer_read
and vector.transfer_write
NOTE: This PR is limited to tests for `vector.transfer_read`.
Added:
Modified:
mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
Removed:
################################################################################
diff --git a/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir b/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
index b4cb640108bae..9b23681dba6a8 100644
--- a/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
+++ b/mlir/test/Dialect/Vector/vector-transfer-collapse-inner-most-dims.mlir
@@ -1,12 +1,17 @@
// RUN: mlir-opt %s -test-vector-transfer-collapse-inner-most-dims -split-input-file | FileCheck %s
-func.func @contiguous_inner_most_view(%in: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>) -> vector<1x8x1xf32>{
+//-----------------------------------------------------------------------------
+// 1. vector.transfer_read
+//-----------------------------------------------------------------------------
+
+func.func @contiguous_inner_most(%in: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>) -> vector<1x8x1xf32>{
%c0 = arith.constant 0 : index
%cst = arith.constant 0.0 : f32
%0 = vector.transfer_read %in[%c0, %c0, %c0, %c0], %cst {in_bounds = [true, true, true]} : memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>, vector<1x8x1xf32>
return %0 : vector<1x8x1xf32>
}
-// CHECK: func @contiguous_inner_most_view(%[[SRC:.+]]: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>
+
+// CHECK: func @contiguous_inner_most(%[[SRC:.+]]: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>
// CHECK: %[[SRC_0:.+]] = memref.subview %[[SRC]]
// CHECK-SAME: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>> to memref<1x1x8xf32, strided<[3072, 8, 1], offset: ?>>
// CHECK: %[[VEC:.+]] = vector.transfer_read %[[SRC_0]]
@@ -14,15 +19,61 @@ func.func @contiguous_inner_most_view(%in: memref<1x1x8x1xf32, strided<[3072, 8,
// CHECK: %[[RESULT:.+]] = vector.shape_cast %[[VEC]]
// CHECK: return %[[RESULT]]
+// Same as the top example within this split, but with the inner vector
+// dim scalable. Note that this example only makes sense when "8 = [8]" (i.e.
+// vscale = 1). This is assumed (implicitly) via the `in_bounds` attribute.
+
+func.func @contiguous_inner_most_scalable_inner_dim(%in: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>) -> vector<1x[8]x1xf32>{
+ %c0 = arith.constant 0 : index
+ %cst = arith.constant 0.0 : f32
+ %0 = vector.transfer_read %in[%c0, %c0, %c0, %c0], %cst {in_bounds = [true, true, true]} : memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>, vector<1x[8]x1xf32>
+ return %0 : vector<1x[8]x1xf32>
+}
+
+// CHECK: func @contiguous_inner_most_scalable_inner_dim(%[[SRC:.+]]: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>
+// CHECK: %[[SRC_0:.+]] = memref.subview %[[SRC]]
+// CHECK-SAME: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>> to memref<1x1x8xf32, strided<[3072, 8, 1], offset: ?>>
+// CHECK: %[[VEC:.+]] = vector.transfer_read %[[SRC_0]]
+// CHECK-SAME: memref<1x1x8xf32, strided<[3072, 8, 1], offset: ?>>, vector<1x[8]xf32>
+// CHECK: %[[RESULT:.+]] = vector.shape_cast %[[VEC]]
+// CHECK: return %[[RESULT]]
+
+// Same as the top example within this split, but the trailing unit dim was
+// replaced with a dyn dim - not supported
+
+func.func @non_unit_trailing_dim(%in: memref<1x1x8x?xf32, strided<[3072, 8, 1, 1], offset: ?>>) -> vector<1x8x1xf32>{
+ %c0 = arith.constant 0 : index
+ %cst = arith.constant 0.0 : f32
+ %0 = vector.transfer_read %in[%c0, %c0, %c0, %c0], %cst {in_bounds = [true, true, true]} : memref<1x1x8x?xf32, strided<[3072, 8, 1, 1], offset: ?>>, vector<1x8x1xf32>
+ return %0 : vector<1x8x1xf32>
+}
+
+// CHECK-LABEL: func @non_unit_trailing_dim
+// CHECK-NOT: memref.subview
+// CHECK-NOT: vector.shape_cast
+
+// Same as the top example within this split, but with a scalable unit dim in
+// the output vector - not supported
+
+func.func @negative_scalable_unit_dim(%in: memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>) -> vector<1x8x[1]xf32>{
+ %c0 = arith.constant 0 : index
+ %cst = arith.constant 0.0 : f32
+ %0 = vector.transfer_read %in[%c0, %c0, %c0, %c0], %cst {in_bounds = [true, true, true]} : memref<1x1x8x1xf32, strided<[3072, 8, 1, 1], offset: ?>>, vector<1x8x[1]xf32>
+ return %0 : vector<1x8x[1]xf32>
+}
+// CHECK-LABEL: func @negative_scalable_unit_dim
+// CHECK-NOT: memref.subview
+// CHECK-NOT: vector.shape_cast
+
// -----
-func.func @contiguous_outer_dyn_inner_most_view(%a: index, %b: index, %memref: memref<?x?x8x1xf32>) -> vector<8x1xf32> {
+func.func @contiguous_outer_dyn_inner_most(%a: index, %b: index, %memref: memref<?x?x8x1xf32>) -> vector<8x1xf32> {
%c0 = arith.constant 0 : index
%pad = arith.constant 0.0 : f32
%v = vector.transfer_read %memref[%a, %b, %c0, %c0], %pad {in_bounds = [true, true]} : memref<?x?x8x1xf32>, vector<8x1xf32>
return %v : vector<8x1xf32>
}
-// CHECK: func.func @contiguous_outer_dyn_inner_most_view(
+// CHECK: func.func @contiguous_outer_dyn_inner_most(
// CHECK-SAME: %[[IDX0:[a-zA-Z0-9]+]]
// CHECK-SAME: %[[IDX1:[a-zA-Z0-9]+]]
// CHECK-SAME: %[[SRC:[a-zA-Z0-9]+]]
@@ -103,6 +154,10 @@ func.func @contiguous_inner_most_dim_out_of_bounds_2d(%arg0: memref<1x1xf32>) ->
// -----
+//-----------------------------------------------------------------------------
+// 2. vector.transfer_write
+//-----------------------------------------------------------------------------
+
func.func @drop_two_inner_most_dim_for_transfer_write(%arg0: memref<1x512x16x1x1xf32>, %arg1: vector<1x16x16x1x1xf32>, %arg2: index) {
%c0 = arith.constant 0 : index
vector.transfer_write %arg1, %arg0[%c0, %arg2, %c0, %c0, %c0]
@@ -177,21 +232,6 @@ func.func @non_unit_strides(%arg0: memref<512x16x1xf32, strided<[8192, 16, 4], o
// -----
-func.func @leading_scalable_dimension_transfer_read(%dest : memref<24x1xf32>) -> vector<[4]x1xf32> {
- %c0 = arith.constant 0 : index
- %pad = arith.constant 0.0 : f32
- %0 = vector.transfer_read %dest[%c0, %c0], %pad {in_bounds = [true, true]} : memref<24x1xf32>, vector<[4]x1xf32>
- return %0 : vector<[4]x1xf32>
-}
-// CHECK: func.func @leading_scalable_dimension_transfer_read
-// CHECK-SAME: %[[DEST:[a-zA-Z0-9]+]]
-// CHECK: %[[SUBVIEW:.+]] = memref.subview %[[DEST]][0, 0] [24, 1] [1, 1] : memref<24x1xf32> to memref<24xf32, strided<[1]>>
-// CHECK: %[[READ:.+]] = vector.transfer_read %[[SUBVIEW]]{{.*}} {in_bounds = [true]} : memref<24xf32, strided<[1]>>, vector<[4]xf32>
-// CHECK: %[[CAST:.+]] = vector.shape_cast %[[READ]] : vector<[4]xf32> to vector<[4]x1xf32>
-// CHECK: return %[[CAST]]
-
-// -----
-
// Negative test: [1] (scalable 1) is _not_ a unit dimension.
func.func @trailing_scalable_one_dim_transfer_read(%dest : memref<24x1xf32>) -> vector<4x[1]xf32> {
%c0 = arith.constant 0 : index
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