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4 changes: 2 additions & 2 deletions mlir/include/mlir/Dialect/GPU/IR/GPUOps.td
Original file line number Diff line number Diff line change
Expand Up @@ -794,9 +794,9 @@ def GPU_LaunchFuncOp :GPU_Op<"launch_func", [
}

def GPU_LaunchOp : GPU_Op<"launch", [
AutomaticAllocationScope, AttrSizedOperandSegments, GPU_AsyncOpInterface,
AffineScope, AutomaticAllocationScope, AttrSizedOperandSegments,
DeclareOpInterfaceMethods<InferIntRangeInterface, ["inferResultRanges"]>,
RecursiveMemoryEffects]>,
GPU_AsyncOpInterface, RecursiveMemoryEffects]>,
Arguments<(ins Variadic<GPU_AsyncToken>:$asyncDependencies,
Index:$gridSizeX, Index:$gridSizeY, Index:$gridSizeZ,
Index:$blockSizeX, Index:$blockSizeY, Index:$blockSizeZ,
Expand Down
34 changes: 17 additions & 17 deletions mlir/test/Dialect/Affine/ops.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -301,29 +301,29 @@ func.func @linearize_mixed(%index0: index, %index1: index, %index2: index, %basi

// -----

#map = affine_map<()[s0] -> (s0)>
// CHECK-LABEL: @gpu_launch_affine

// CHECK-LABEL: @gpu_affine_for
// Test `thread_id` in AffineScope, the `thread_id` is in AffineScope's toplevel,
// it is a valid symbol.

module attributes {gpu.container_module} {
gpu.module @gpu {
gpu.func @gpu_affine_for(%arg0: memref<?x?xf32>) kernel {
%c3 = arith.constant 1 : index
%dim = memref.dim %arg0, %c3 : memref<?x?xf32>
%c0 = arith.constant 0 : index
affine.for %arg3 = %c0 to #map()[%dim] step 32 {
module {
func.func @gpu_launch_affine() {
%c1 = arith.constant 1 : index
gpu.launch blocks(%arg0, %arg1, %arg2) in (%arg6 = %c1, %arg7 = %c1, %arg8 = %c1)
threads(%arg3, %arg4, %arg5) in (%arg9 = %c1, %arg10 = %c1, %arg11 = %c1) {
%thread_id_x = gpu.thread_id x
%c128 = arith.constant 128 : index
affine.for %arg12 = %thread_id_x to %c128 step 8 {
}
gpu.return
gpu.terminator
}
return
}
}
// CHECK-SAME: (%[[VAL_0:.*]]: memref<?x?xf32>) kernel {
// CHECK: %[[VAL_1:.*]] = arith.constant 1 : index
// CHECK: %[[VAL_2:.*]] = memref.dim %[[VAL_0]], %[[VAL_1]] : memref<?x?xf32>
// CHECK: %[[VAL_3:.*]] = arith.constant 0 : index
// CHECK: affine.for %[[VAL_4:.*]] = %[[VAL_3]] to %[[VAL_2]] step 32 {
// CHECK: }
// CHECK: gpu.return

// CHECK: %[[THREAD_ID:.*]] = gpu.thread_id x
// CHECK: %[[VAL:.*]] = arith.constant 128 : index
// CHECK: affine.for %{{.*}} = %[[THREAD_ID]] to %[[VAL]] step 8 {

// -----

Expand Down
4 changes: 2 additions & 2 deletions mlir/test/Dialect/GPU/transform-gpu.mlir
Original file line number Diff line number Diff line change
Expand Up @@ -43,7 +43,7 @@ module attributes {transform.with_named_sequence} {
!type = memref<2 x 32 x f32>
!type1d = memref<32 x f32>

// CHECK-DAG: #[[$MAP:.*]] = affine_map<()[s0] -> (s0 floordiv 128)>
// CHECK-DAG: #[[$MAP:.*]] = affine_map<()[s0] -> (s0 floordiv 128)>

// CHECK-LABEL: func.func @warpgroup_3d(
// CHECK-SAME: %[[ARGX:[0-9a-z]+]]: memref<2x32xf32>
Expand Down Expand Up @@ -647,7 +647,7 @@ module attributes {transform.with_named_sequence} {
#map = affine_map<(d0) -> (d0 * 128)>
#map1 = affine_map<(d0) -> (d0 * 32)>

// CHECK-DAG: #[[$MAPB:.*]] = affine_map<()[s0] -> (s0 * 128)>
// CHECK-DAG: #[[$MAPB:.*]] = affine_map<()[s0] -> (s0 * 128)>
// CHECK-DAG: #[[$MAPW:.*]] = affine_map<()[s0, s1, s2] -> (s2 * 32 + ((s0 + s1 * 4) floordiv 32) * 32)>

// CHECK-LABEL: func.func @simple_fill(
Expand Down