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TheRock/compiler/amd-llvm/mlir/test/Dialect/Linalg/fusion-elementwise.mlir
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

62 lines
2.5 KiB
MLIR

// RUN: mlir-opt %s -test-linalg-elementwise-fusion-patterns=fuse-generic-ops-control -split-input-file | FileCheck %s
#map = affine_map<(d0, d1) -> (d0, d1)>
func.func @drop_unused_producer_result(%arg0 : tensor<?x?xf32>,
%arg1 : tensor<?x?xf32>) -> tensor<?x?xf32> {
%0:2 = linalg.generic {
indexing_maps = [#map, #map, #map],
iterator_types = ["parallel", "parallel"]}
ins(%arg0 : tensor<?x?xf32>) outs(%arg0, %arg0 : tensor<?x?xf32>, tensor<?x?xf32>) {
^bb0(%b0: f32, %b1: f32, %b2: f32):
%1 = arith.addf %b0, %b0 : f32
%2 = arith.mulf %b0, %b0 : f32
linalg.yield %1, %2 : f32, f32
} -> (tensor<?x?xf32>, tensor<?x?xf32>)
%3 = linalg.generic {
indexing_maps = [#map, #map, #map],
iterator_types = ["parallel", "parallel"]}
ins(%0#0, %arg1 : tensor<?x?xf32>, tensor<?x?xf32>) outs(%arg0 : tensor<?x?xf32>) {
^bb0(%b0: f32, %b1: f32, %b2: f32):
%4 = arith.subf %b0, %b1 : f32
linalg.yield %4 : f32
} -> tensor<?x?xf32>
return %3 : tensor<?x?xf32>
}
// CHECK-LABEL: func @drop_unused_producer_result
// CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<?x?xf32>
// CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: tensor<?x?xf32>
// CHECK: %[[FUSED_OP:.+]] = linalg.generic
// CHECK-SAME: ins(%[[ARG0]], %[[ARG1]] :
// CHECK: return %[[FUSED_OP]]
// -----
#map = affine_map<(d0) -> (d0)>
func.func @handle_unused_operands(%arg0: tensor<8xf32>, %arg1: tensor<8xf32>) -> tensor<8xf32> {
%cst_0 = arith.constant 0.000000e+00 : f32
%cst_1 = arith.constant 1.000000e+00 : f32
%0:2 = linalg.generic {indexing_maps = [#map, #map], iterator_types = ["parallel"]} outs(%arg0, %arg1 : tensor<8xf32>, tensor<8xf32>) {
^bb0(%out: f32, %out_2: f32):
%1 = linalg.index 0 : index
%2 = arith.index_cast %1 : index to i64
%3 = arith.sitofp %2 : i64 to f32
%4 = arith.divf %3, %cst_0 : f32
linalg.yield %3, %4 : f32, f32
} -> (tensor<8xf32>, tensor<8xf32>)
linalg.generic {indexing_maps = [#map], iterator_types = ["parallel"]} ins(%0#1 : tensor<8xf32>) {
^bb0(%in: f32):
%2 = arith.cmpf one, %in, %cst_1 : f32
cf.assert %2, "Side effect op"
linalg.yield
}
func.return %arg1 : tensor<8xf32>
}
// CHECK-LABEL: func @handle_unused_operands
// CHECK-SAME: %[[ARG0:[a-zA-Z0-9]+]]: tensor<8xf32>
// CHECK-SAME: %[[ARG1:[a-zA-Z0-9]+]]: tensor<8xf32>
// CHECK: %[[EMPTY:.+]] = tensor.empty() : tensor<8xf32>
// CHECK: %[[FUSED_OP:.+]] = linalg.generic
// CHECK-SAME: outs(%[[EMPTY]] :
// CHECK-NOT: linalg.generic