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// 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]]
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