blob: 447416ccba637043431bf700d2fc348496ff5139 [file] [edit]
// RUN: mlir-opt %s --transform-interpreter='entry-point=innerreduction' | FileCheck %s --check-prefixes=INNER_REDUCTION,ALL
// RUN: mlir-opt %s --transform-interpreter='entry-point=innerparallel' | FileCheck %s --check-prefixes=INNER_PARALLEL,ALL
// ALL-LABEL: func @one_dim_reduction
// ALL-SAME: %[[INPUT:.+]]: vector<8xf32>, %[[ACC:.+]]: f32
func.func @one_dim_reduction(%arg0: vector<8xf32>, %acc: f32) -> f32 {
// ALL: %[[RESULT:.+]] = vector.reduction <add>, %[[INPUT]], %[[ACC]] : vector<8xf32> into f32
%0 = vector.multi_reduction <add>, %arg0, %acc [0] : vector<8xf32> to f32
// ALL: return %[[RESULT]]
return %0 : f32
}
// ALL-LABEL: func @one_dim_reduction_masked
// ALL-SAME: %[[INPUT:.+]]: vector<8xf32>, %[[ACC:.+]]: f32, %[[MASK:.+]]: vector<8xi1>
func.func @one_dim_reduction_masked(%arg0: vector<8xf32>, %acc: f32, %mask: vector<8xi1>) -> f32 {
// ALL: %[[RESULT:.+]] = vector.mask %[[MASK]] { vector.reduction <add>, %[[INPUT]], %[[ACC]] : vector<8xf32> into f32 } : vector<8xi1> -> f32
%0 = vector.mask %mask {
vector.multi_reduction <add>, %arg0, %acc [0] : vector<8xf32> to f32
} : vector<8xi1> -> f32
// ALL: return %[[RESULT]]
return %0 : f32
}
// ALL-LABEL: func @negative_rank3
func.func @negative_rank3(
%rank3: vector<2x3x4xf32>, %rank3_acc: vector<2x3xf32>) -> vector<2x3xf32> {
// ALL: vector.multi_reduction <add>, {{.+}} [2] : vector<2x3x4xf32> to vector<2x3xf32>
%0 = vector.multi_reduction <add>, %rank3, %rank3_acc [2] : vector<2x3x4xf32> to vector<2x3xf32>
return %0 : vector<2x3xf32>
}
// ALL-LABEL: func @inner_reduction_2d
// ALL-SAME: %[[INPUT:.+]]: vector<2x4xf32>, %[[ACC:.+]]: vector<2xf32>
func.func @inner_reduction_2d(%arg0: vector<2x4xf32>, %acc: vector<2xf32>) -> vector<2xf32> {
// INNER_REDUCTION: %[[RESULT_VEC_0:.+]] = arith.constant dense<{{.+}}> : vector<2xf32>
// INNER_REDUCTION: %[[V0:.+]] = vector.extract %[[INPUT]][0]
// INNER_REDUCTION: %[[ACC0:.+]] = vector.extract %[[ACC]][0]
// INNER_REDUCTION: %[[RV0:.+]] = vector.reduction <mul>, %[[V0]], %[[ACC0]] : vector<4xf32> into f32
// INNER_REDUCTION: %[[RESULT_VEC_1:.+]] = vector.insert %[[RV0]], %[[RESULT_VEC_0]] [0] : f32 into vector<2xf32>
// INNER_REDUCTION: %[[V1:.+]] = vector.extract %[[INPUT]][1]
// INNER_REDUCTION: %[[ACC1:.+]] = vector.extract %[[ACC]][1]
// INNER_REDUCTION: %[[RV1:.+]] = vector.reduction <mul>, %[[V1]], %[[ACC1]] : vector<4xf32> into f32
// INNER_REDUCTION: %[[RESULT:.+]] = vector.insert %[[RV1]], %[[RESULT_VEC_1]] [1] : f32 into vector<2xf32>
// INNER_PARALLEL: %[[RESULT:.+]] = vector.multi_reduction <mul>, %[[INPUT]], %[[ACC]] [1]
%0 = vector.multi_reduction <mul>, %arg0, %acc [1] : vector<2x4xf32> to vector<2xf32>
// ALL: return %[[RESULT]]
return %0 : vector<2xf32>
}
// ALL-LABEL: func @inner_reduction_2d_scalable
// ALL-SAME: %[[INPUT:.+]]: vector<2x[4]xf32>
// ALL-SAME: %[[ACC:.+]]: vector<2xf32>
// ALL-SAME: %[[MASK:.+]]: vector<2x[4]xi1>
func.func @inner_reduction_2d_scalable(%input: vector<2x[4]xf32>, %acc: vector<2xf32>, %mask: vector<2x[4]xi1>) -> vector<2xf32> {
// INNER_REDUCTION: %[[INIT:.+]] = arith.constant dense<0.000000e+00> : vector<2xf32>
// INNER_REDUCTION: %[[INPUT_0:.+]] = vector.extract %[[INPUT]][0] : vector<[4]xf32> from vector<2x[4]xf32>
// INNER_REDUCTION: %[[ACC_0:.+]] = vector.extract %[[ACC]][0] : f32 from vector<2xf32>
// INNER_REDUCTION: %[[MASK_0:.+]] = vector.extract %[[MASK]][0] : vector<[4]xi1> from vector<2x[4]xi1>
// INNER_REDUCTION: %[[REDUCE_0:.+]] = vector.mask %[[MASK_0]] { vector.reduction <add>, %[[INPUT_0]], %[[ACC_0]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32
// INNER_REDUCTION: %[[INSERT_0:.+]] = vector.insert %[[REDUCE_0]], %[[INIT]] [0] : f32 into vector<2xf32>
// INNER_REDUCTION: %[[INPUT_1:.+]] = vector.extract %[[INPUT]][1] : vector<[4]xf32> from vector<2x[4]xf32>
// INNER_REDUCTION: %[[ACC_1:.+]] = vector.extract %[[ACC]][1] : f32 from vector<2xf32>
// INNER_REDUCTION: %[[MASK_1:.+]] = vector.extract %[[MASK]][1] : vector<[4]xi1> from vector<2x[4]xi1>
// INNER_REDUCTION: %[[REDUCE_1:.+]] = vector.mask %[[MASK_1]] { vector.reduction <add>, %[[INPUT_1]], %[[ACC_1]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32
// INNER_REDUCTION: %[[RESULT:.+]] = vector.insert %[[REDUCE_1]], %[[INSERT_0]] [1] : f32 into vector<2xf32>
// INNER_PARALLEL: %[[RESULT:.+]] = vector.mask %[[MASK]] { vector.multi_reduction <add>, %[[INPUT]], %[[ACC]] [1] {{.+}} } : vector<2x[4]xi1> -> vector<2xf32>
// ALL: return %[[RESULT]] : vector<2xf32>
%0 = vector.mask %mask { vector.multi_reduction <add>, %input, %acc [1] : vector<2x[4]xf32> to vector<2xf32> } : vector<2x[4]xi1> -> vector<2xf32>
return %0 : vector<2xf32>
}
// ALL-LABEL: func @inner_parallel_2d
// ALL-SAME: %[[INPUT:.+]]: vector<4x2xf32>, %[[ACC:.+]]: vector<2xf32>
func.func @inner_parallel_2d(%arg0: vector<4x2xf32>, %acc: vector<2xf32>) -> vector<2xf32> {
// INNER_PARALLEL: %[[V0:.+]] = vector.extract %[[INPUT]][0] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[RV0:.+]] = arith.mulf %[[V0]], %[[ACC]] : vector<2xf32>
// INNER_PARALLEL: %[[V1:.+]] = vector.extract %[[INPUT]][1] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[RV1:.+]] = arith.mulf %[[V1]], %[[RV0]] : vector<2xf32>
// INNER_PARALLEL: %[[V2:.+]] = vector.extract %[[INPUT]][2] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[RV2:.+]] = arith.mulf %[[V2]], %[[RV1]] : vector<2xf32>
// INNER_PARALLEL: %[[V3:.+]] = vector.extract %[[INPUT]][3] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[RESULT:.+]] = arith.mulf %[[V3]], %[[RV2]] : vector<2xf32>
// INNER_REDUCTION: %[[RESULT:.+]] = vector.multi_reduction <mul>, %[[INPUT]], %[[ACC]] [0]
// ALL: return %[[RESULT]] : vector<2xf32>
%0 = vector.multi_reduction <mul>, %arg0, %acc [0] : vector<4x2xf32> to vector<2xf32>
return %0 : vector<2xf32>
}
// ALL-LABEL: func @inner_parallel_2d_masked
// ALL-SAME: %[[INPUT:.+]]: vector<4x2xf32>, %[[ACC:.+]]: vector<2xf32>, %[[MASK:.+]]: vector<4x2xi1>
func.func @inner_parallel_2d_masked(%arg0: vector<4x2xf32>, %acc: vector<2xf32>, %mask: vector<4x2xi1>) -> vector<2xf32> {
// INNER_PARALLEL: %[[V0:.+]] = vector.extract %[[INPUT]][0] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[M0:.+]] = vector.extract %[[MASK]][0] : vector<2xi1> from vector<4x2xi1>
// INNER_PARALLEL: %[[RED0:.+]] = arith.mulf %[[V0]], %[[ACC]] : vector<2xf32>
// INNER_PARALLEL: %[[RV0:.+]] = arith.select %[[M0]], %[[RED0]], %[[ACC]] : vector<2xi1>, vector<2xf32>
// INNER_PARALLEL: %[[V1:.+]] = vector.extract %[[INPUT]][1] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[M1:.+]] = vector.extract %[[MASK]][1] : vector<2xi1> from vector<4x2xi1>
// INNER_PARALLEL: %[[RED1:.+]] = arith.mulf %[[V1]], %[[RV0]] : vector<2xf32>
// INNER_PARALLEL: %[[RV1:.+]] = arith.select %[[M1]], %[[RED1]], %[[RV0]] : vector<2xi1>, vector<2xf32>
// INNER_PARALLEL: %[[V2:.+]] = vector.extract %[[INPUT]][2] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[M2:.+]] = vector.extract %[[MASK]][2] : vector<2xi1> from vector<4x2xi1>
// INNER_PARALLEL: %[[RED2:.+]] = arith.mulf %[[V2]], %[[RV1]] : vector<2xf32>
// INNER_PARALLEL: %[[RV2:.+]] = arith.select %[[M2]], %[[RED2]], %[[RV1]] : vector<2xi1>, vector<2xf32>
// INNER_PARALLEL: %[[V3:.+]] = vector.extract %[[INPUT]][3] : vector<2xf32> from vector<4x2xf32>
// INNER_PARALLEL: %[[M3:.+]] = vector.extract %[[MASK]][3] : vector<2xi1> from vector<4x2xi1>
// INNER_PARALLEL: %[[RED3:.+]] = arith.mulf %[[V3]], %[[RV2]] : vector<2xf32>
// INNER_PARALLEL: %[[RESULT:.+]] = arith.select %[[M3]], %[[RED3]], %[[RV2]] : vector<2xi1>, vector<2xf32>
// INNER_REDUCTION: %[[RESULT:.+]] = vector.mask %[[MASK]] { vector.multi_reduction <mul>, %[[INPUT]], %[[ACC]] [0] {{.+}} } : vector<4x2xi1> -> vector<2xf32>
// ALL: return %[[RESULT]] : vector<2xf32>
%0 = vector.mask %mask { vector.multi_reduction <mul>, %arg0, %acc [0] : vector<4x2xf32> to vector<2xf32> } : vector<4x2xi1> -> vector<2xf32>
return %0 : vector<2xf32>
}
module attributes {transform.with_named_sequence} {
transform.named_sequence @innerreduction(%root : !transform.any_op {transform.readonly}) {
%func_op = transform.structured.match ops{["func.func"]} in %root : (!transform.any_op) -> !transform.op<"func.func">
transform.apply_patterns to %func_op {
transform.apply_patterns.vector.multi_reduction_unrolling lowering_strategy = "innerreduction"
} : !transform.op<"func.func">
transform.yield
}
transform.named_sequence @innerparallel(%root : !transform.any_op {transform.readonly}) {
%func_op = transform.structured.match ops{["func.func"]} in %root : (!transform.any_op) -> !transform.op<"func.func">
transform.apply_patterns to %func_op {
transform.apply_patterns.vector.multi_reduction_unrolling lowering_strategy = "innerparallel"
} : !transform.op<"func.func">
transform.yield
}
}