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|
// RUN: mlir-opt %s --transform-interpreter | FileCheck %s
func.func @vector_multi_reduction(%arg0: vector<2x4xf32>, %acc: vector<2xf32>) -> vector<2xf32> {
%0 = vector.multi_reduction <mul>, %arg0, %acc [1] : vector<2x4xf32> to vector<2xf32>
return %0 : vector<2xf32>
}
// CHECK-LABEL: func @vector_multi_reduction
// CHECK-SAME: %[[INPUT:.+]]: vector<2x4xf32>, %[[ACC:.*]]: vector<2xf32>)
// CHECK-DAG: %[[RESULT_VEC_0:.+]] = arith.constant dense<{{.*}}> : vector<2xf32>
// CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
// CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index
// CHECK: %[[V0:.+]] = vector.extract %[[INPUT]][0]
// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0]
// CHECK: %[[RV0:.+]] = vector.reduction <mul>, %[[V0]], %[[ACC0]] : vector<4xf32> into f32
// CHECK: %[[RESULT_VEC_1:.+]] = vector.insertelement %[[RV0:.+]], %[[RESULT_VEC_0]][%[[C0]] : index] : vector<2xf32>
// CHECK: %[[V1:.+]] = vector.extract %[[INPUT]][1]
// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][1]
// CHECK: %[[RV1:.+]] = vector.reduction <mul>, %[[V1]], %[[ACC1]] : vector<4xf32> into f32
// CHECK: %[[RESULT_VEC:.+]] = vector.insertelement %[[RV1:.+]], %[[RESULT_VEC_1]][%[[C1]] : index] : vector<2xf32>
// CHECK: return %[[RESULT_VEC]]
func.func @vector_multi_reduction_to_scalar(%arg0: vector<2x4xf32>, %acc: f32) -> f32 {
%0 = vector.multi_reduction <mul>, %arg0, %acc [0, 1] : vector<2x4xf32> to f32
return %0 : f32
}
// CHECK-LABEL: func @vector_multi_reduction_to_scalar
// CHECK-SAME: %[[INPUT:.+]]: vector<2x4xf32>, %[[ACC:.*]]: f32)
// CHECK: %[[CASTED:.*]] = vector.shape_cast %[[INPUT]] : vector<2x4xf32> to vector<8xf32>
// CHECK: %[[REDUCED:.*]] = vector.reduction <mul>, %[[CASTED]], %[[ACC]] : vector<8xf32> into f32
// CHECK: %[[INSERTED:.*]] = vector.insertelement %[[REDUCED]], {{.*}} : vector<1xf32>
// CHECK: %[[RES:.*]] = vector.extract %[[INSERTED]][0] : f32 from vector<1xf32>
// CHECK: return %[[RES]]
func.func @vector_reduction_inner(%arg0: vector<2x3x4x5xi32>, %acc: vector<2x3xi32>) -> vector<2x3xi32> {
%0 = vector.multi_reduction <add>, %arg0, %acc [2, 3] : vector<2x3x4x5xi32> to vector<2x3xi32>
return %0 : vector<2x3xi32>
}
// CHECK-LABEL: func @vector_reduction_inner
// CHECK-SAME: %[[INPUT:.+]]: vector<2x3x4x5xi32>, %[[ACC:.*]]: vector<2x3xi32>
// CHECK-DAG: %[[FLAT_RESULT_VEC_0:.+]] = arith.constant dense<0> : vector<6xi32>
// CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
// CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index
// CHECK-DAG: %[[C2:.+]] = arith.constant 2 : index
// CHECK-DAG: %[[C3:.+]] = arith.constant 3 : index
// CHECK-DAG: %[[C4:.+]] = arith.constant 4 : index
// CHECK-DAG: %[[C5:.+]] = arith.constant 5 : index
// CHECK: %[[RESHAPED_INPUT:.+]] = vector.shape_cast %[[INPUT]] : vector<2x3x4x5xi32> to vector<6x20xi32>
// CHECK: %[[V0:.+]] = vector.extract %[[RESHAPED_INPUT]][0] : vector<20xi32> from vector<6x20xi32>
// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0, 0] : i32 from vector<2x3xi32>
// CHECK: %[[V0R:.+]] = vector.reduction <add>, %[[V0]], %[[ACC0]] : vector<20xi32> into i32
// CHECK: %[[FLAT_RESULT_VEC_1:.+]] = vector.insertelement %[[V0R]], %[[FLAT_RESULT_VEC_0]][%[[C0]] : index] : vector<6xi32>
// CHECK: %[[V1:.+]] = vector.extract %[[RESHAPED_INPUT]][1] : vector<20xi32> from vector<6x20xi32>
// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][0, 1] : i32 from vector<2x3xi32>
// CHECK: %[[V1R:.+]] = vector.reduction <add>, %[[V1]], %[[ACC1]] : vector<20xi32> into i32
// CHECK: %[[FLAT_RESULT_VEC_2:.+]] = vector.insertelement %[[V1R]], %[[FLAT_RESULT_VEC_1]][%[[C1]] : index] : vector<6xi32>
// CHECK: %[[V2:.+]] = vector.extract %[[RESHAPED_INPUT]][2] : vector<20xi32> from vector<6x20xi32>
// CHECK: %[[ACC2:.+]] = vector.extract %[[ACC]][0, 2] : i32 from vector<2x3xi32>
// CHECK: %[[V2R:.+]] = vector.reduction <add>, %[[V2]], %[[ACC2]] : vector<20xi32> into i32
// CHECK: %[[FLAT_RESULT_VEC_3:.+]] = vector.insertelement %[[V2R]], %[[FLAT_RESULT_VEC_2]][%[[C2]] : index] : vector<6xi32>
// CHECK: %[[V3:.+]] = vector.extract %[[RESHAPED_INPUT]][3] : vector<20xi32> from vector<6x20xi32>
// CHECK: %[[ACC3:.+]] = vector.extract %[[ACC]][1, 0] : i32 from vector<2x3xi32>
// CHECK: %[[V3R:.+]] = vector.reduction <add>, %[[V3]], %[[ACC3]] : vector<20xi32> into i32
// CHECK: %[[FLAT_RESULT_VEC_4:.+]] = vector.insertelement %[[V3R]], %[[FLAT_RESULT_VEC_3]][%[[C3]] : index] : vector<6xi32>
// CHECK: %[[V4:.+]] = vector.extract %[[RESHAPED_INPUT]][4] : vector<20xi32> from vector<6x20xi32>
// CHECK: %[[ACC4:.+]] = vector.extract %[[ACC]][1, 1] : i32 from vector<2x3xi32>
// CHECK: %[[V4R:.+]] = vector.reduction <add>, %[[V4]], %[[ACC4]] : vector<20xi32> into i32
// CHECK: %[[FLAT_RESULT_VEC_5:.+]] = vector.insertelement %[[V4R]], %[[FLAT_RESULT_VEC_4]][%[[C4]] : index] : vector<6xi32>
// CHECK: %[[V5:.+]] = vector.extract %[[RESHAPED_INPUT]][5] : vector<20xi32> from vector<6x20xi32>
// CHECK: %[[ACC5:.+]] = vector.extract %[[ACC]][1, 2] : i32 from vector<2x3xi32>
// CHECK: %[[V5R:.+]] = vector.reduction <add>, %[[V5]], %[[ACC5]] : vector<20xi32> into i32
// CHECK: %[[FLAT_RESULT_VEC:.+]] = vector.insertelement %[[V5R]], %[[FLAT_RESULT_VEC_5]][%[[C5]] : index] : vector<6xi32>
// CHECK: %[[RESULT:.+]] = vector.shape_cast %[[FLAT_RESULT_VEC]] : vector<6xi32> to vector<2x3xi32>
// CHECK: return %[[RESULT]]
func.func @vector_multi_reduction_transposed(%arg0: vector<2x3x4x5xf32>, %acc: vector<2x5xf32>) -> vector<2x5xf32> {
%0 = vector.multi_reduction <add>, %arg0, %acc [1, 2] : vector<2x3x4x5xf32> to vector<2x5xf32>
return %0 : vector<2x5xf32>
}
// CHECK-LABEL: func @vector_multi_reduction_transposed
// CHECK-SAME: %[[INPUT:.+]]: vector<2x3x4x5xf32>
// CHECK: %[[TRANSPOSED_INPUT:.+]] = vector.transpose %[[INPUT]], [0, 3, 1, 2] : vector<2x3x4x5xf32> to vector<2x5x3x4xf32>
// CHECK: vector.shape_cast %[[TRANSPOSED_INPUT]] : vector<2x5x3x4xf32> to vector<10x12xf32>
// CHECK: %[[RESULT:.+]] = vector.shape_cast %{{.*}} : vector<10xf32> to vector<2x5xf32>
// CHECK: return %[[RESULT]]
func.func @vector_multi_reduction_ordering(%arg0: vector<3x2x4xf32>, %acc: vector<2x4xf32>) -> vector<2x4xf32> {
%0 = vector.multi_reduction <mul>, %arg0, %acc [0] : vector<3x2x4xf32> to vector<2x4xf32>
return %0 : vector<2x4xf32>
}
// CHECK-LABEL: func @vector_multi_reduction_ordering
// CHECK-SAME: %[[INPUT:.+]]: vector<3x2x4xf32>, %[[ACC:.*]]: vector<2x4xf32>)
// CHECK-DAG: %[[RESULT_VEC_0:.+]] = arith.constant dense<{{.*}}> : vector<8xf32>
// CHECK-DAG: %[[C0:.+]] = arith.constant 0 : index
// CHECK-DAG: %[[C1:.+]] = arith.constant 1 : index
// CHECK-DAG: %[[C2:.+]] = arith.constant 2 : index
// CHECK-DAG: %[[C3:.+]] = arith.constant 3 : index
// CHECK-DAG: %[[C4:.+]] = arith.constant 4 : index
// CHECK-DAG: %[[C5:.+]] = arith.constant 5 : index
// CHECK-DAG: %[[C6:.+]] = arith.constant 6 : index
// CHECK-DAG: %[[C7:.+]] = arith.constant 7 : index
// CHECK: %[[TRANSPOSED_INPUT:.+]] = vector.transpose %[[INPUT]], [1, 2, 0] : vector<3x2x4xf32> to vector<2x4x3xf32>
// CHECK: %[[V0:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 0]
// CHECK: %[[ACC0:.+]] = vector.extract %[[ACC]][0, 0] : f32 from vector<2x4xf32>
// CHECK: %[[RV0:.+]] = vector.reduction <mul>, %[[V0]], %[[ACC0]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_1:.+]] = vector.insertelement %[[RV0:.+]], %[[RESULT_VEC_0]][%[[C0]] : index] : vector<8xf32>
// CHECK: %[[V1:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 1]
// CHECK: %[[ACC1:.+]] = vector.extract %[[ACC]][0, 1] : f32 from vector<2x4xf32>
// CHECK: %[[RV1:.+]] = vector.reduction <mul>, %[[V1]], %[[ACC1]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_2:.+]] = vector.insertelement %[[RV1:.+]], %[[RESULT_VEC_1]][%[[C1]] : index] : vector<8xf32>
// CHECK: %[[V2:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 2]
// CHECK: %[[ACC2:.+]] = vector.extract %[[ACC]][0, 2] : f32 from vector<2x4xf32>
// CHECK: %[[RV2:.+]] = vector.reduction <mul>, %[[V2]], %[[ACC2]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_3:.+]] = vector.insertelement %[[RV2:.+]], %[[RESULT_VEC_2]][%[[C2]] : index] : vector<8xf32>
// CHECK: %[[V3:.+]] = vector.extract %[[TRANSPOSED_INPUT]][0, 3]
// CHECK: %[[ACC3:.+]] = vector.extract %[[ACC]][0, 3] : f32 from vector<2x4xf32>
// CHECK: %[[RV3:.+]] = vector.reduction <mul>, %[[V3]], %[[ACC3]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_4:.+]] = vector.insertelement %[[RV3:.+]], %[[RESULT_VEC_3]][%[[C3]] : index] : vector<8xf32>
// CHECK: %[[V4:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 0]
// CHECK: %[[ACC4:.+]] = vector.extract %[[ACC]][1, 0] : f32 from vector<2x4xf32>
// CHECK: %[[RV4:.+]] = vector.reduction <mul>, %[[V4]], %[[ACC4]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_5:.+]] = vector.insertelement %[[RV4:.+]], %[[RESULT_VEC_4]][%[[C4]] : index] : vector<8xf32>
// CHECK: %[[V5:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 1]
// CHECK: %[[ACC5:.+]] = vector.extract %[[ACC]][1, 1] : f32 from vector<2x4xf32>
// CHECK: %[[RV5:.+]] = vector.reduction <mul>, %[[V5]], %[[ACC5]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_6:.+]] = vector.insertelement %[[RV5:.+]], %[[RESULT_VEC_5]][%[[C5]] : index] : vector<8xf32>
// CHECK: %[[V6:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 2]
// CHECK: %[[ACC6:.+]] = vector.extract %[[ACC]][1, 2] : f32 from vector<2x4xf32>
// CHECK: %[[RV6:.+]] = vector.reduction <mul>, %[[V6]], %[[ACC6]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC_7:.+]] = vector.insertelement %[[RV6:.+]], %[[RESULT_VEC_6]][%[[C6]] : index] : vector<8xf32>
// CHECK: %[[V7:.+]] = vector.extract %[[TRANSPOSED_INPUT]][1, 3]
// CHECK: %[[ACC7:.+]] = vector.extract %[[ACC]][1, 3] : f32 from vector<2x4xf32>
// CHECK: %[[RV7:.+]] = vector.reduction <mul>, %[[V7]], %[[ACC7]] : vector<3xf32> into f32
// CHECK: %[[RESULT_VEC:.+]] = vector.insertelement %[[RV7:.+]], %[[RESULT_VEC_7]][%[[C7]] : index] : vector<8xf32>
// CHECK: %[[RESHAPED_VEC:.+]] = vector.shape_cast %[[RESULT_VEC]] : vector<8xf32> to vector<2x4xf32>
// CHECK: return %[[RESHAPED_VEC]]
func.func @vectorize_dynamic_reduction(%arg0: tensor<?x?xf32>, %arg1: tensor<?xf32>) -> tensor<?xf32> {
%c0 = arith.constant 0 : index
%dim = tensor.dim %arg0, %c0 : tensor<?x?xf32>
%c1 = arith.constant 1 : index
%dim_0 = tensor.dim %arg0, %c1 : tensor<?x?xf32>
%c0_1 = arith.constant 0 : index
%cst = arith.constant 0.000000e+00 : f32
%0 = vector.create_mask %dim, %dim_0 : vector<4x8xi1>
%1 = vector.mask %0 { vector.transfer_read %arg0[%c0_1, %c0_1], %cst {in_bounds = [true, true]} : tensor<?x?xf32>, vector<4x8xf32> } : vector<4x8xi1> -> vector<4x8xf32>
%cst_2 = arith.constant 0.000000e+00 : f32
%2 = vector.create_mask %dim : vector<4xi1>
%3 = vector.mask %2 { vector.transfer_read %arg1[%c0_1], %cst_2 {in_bounds = [true]} : tensor<?xf32>, vector<4xf32> } : vector<4xi1> -> vector<4xf32>
%4 = vector.mask %0 { vector.multi_reduction <add>, %1, %3 [1] : vector<4x8xf32> to vector<4xf32> } : vector<4x8xi1> -> vector<4xf32>
%c0_3 = arith.constant 0 : index
%5 = vector.mask %2 { vector.transfer_write %4, %arg1[%c0_3] {in_bounds = [true]} : vector<4xf32>, tensor<?xf32> } : vector<4xi1> -> tensor<?xf32>
return %5 : tensor<?xf32>
}
// Verify that the original 2-D mask is sliced and propagated properly to the
// vector.reduction instances.
// CHECK-LABEL: func.func @vectorize_dynamic_reduction
// CHECK: %[[VAL_8:.*]] = tensor.dim
// CHECK: %[[VAL_9:.*]] = tensor.dim
// CHECK: %[[VAL_10:.*]] = vector.create_mask %[[VAL_8]], %[[VAL_9]] : vector<4x8xi1>
// CHECK: %[[VAL_16:.*]] = vector.extract %[[VAL_10]][0] : vector<8xi1> from vector<4x8xi1>
// CHECK: %[[VAL_17:.*]] = vector.mask %[[VAL_16]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
// CHECK: %[[VAL_18:.*]] = vector.insertelement
// CHECK: %[[VAL_21:.*]] = vector.extract %[[VAL_10]][1] : vector<8xi1> from vector<4x8xi1>
// CHECK: %[[VAL_22:.*]] = vector.mask %[[VAL_21]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
// CHECK: %[[VAL_23:.*]] = vector.insertelement
// CHECK: %[[VAL_26:.*]] = vector.extract %[[VAL_10]][2] : vector<8xi1> from vector<4x8xi1>
// CHECK: %[[VAL_27:.*]] = vector.mask %[[VAL_26]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
// CHECK: %[[VAL_28:.*]] = vector.insertelement
// CHECK: %[[VAL_31:.*]] = vector.extract %[[VAL_10]][3] : vector<8xi1> from vector<4x8xi1>
// CHECK: %[[VAL_32:.*]] = vector.mask %[[VAL_31]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
// CHECK: %[[VAL_33:.*]] = vector.insertelement
func.func @vectorize_1d_dynamic_reduction(%arg0: tensor<?xf32>) -> f32 {
%c0 = arith.constant 0 : index
%dim = tensor.dim %arg0, %c0 : tensor<?xf32>
%c0_1 = arith.constant 0 : index
%cst = arith.constant 0.000000e+00 : f32
%0 = vector.create_mask %dim : vector<8xi1>
%1 = vector.mask %0 { vector.transfer_read %arg0[%c0_1], %cst {in_bounds = [true]} : tensor<?xf32>, vector<8xf32> } : vector<8xi1> -> vector<8xf32>
%4 = vector.mask %0 { vector.multi_reduction <add>, %1, %cst [0] : vector<8xf32> to f32 } : vector<8xi1> -> f32
return %4 : f32
}
// Verify that a 1-D vector.multi_reduction is transformed into a vector.reduction.
// This transform expands 1-D vectors into 2-D.
// CHECK-LABEL: func.func @vectorize_1d_dynamic_reduction(
// CHECK: %[[VAL_5:.*]] = vector.create_mask {{.*}} : vector<8xi1>
// CHECK: %[[VAL_7:.*]] = vector.mask %[[VAL_5]] { vector.reduction <add>, %{{.*}} : vector<8xf32> into f32 } : vector<8xi1> -> f32
func.func @vectorize_dynamic_transpose_reduction(%arg0: tensor<?x?x?xf32>, %arg1: tensor<?x?xf32>) -> tensor<?x?xf32> {
%c0 = arith.constant 0 : index
%dim = tensor.dim %arg0, %c0 : tensor<?x?x?xf32>
%c1 = arith.constant 1 : index
%dim_0 = tensor.dim %arg0, %c1 : tensor<?x?x?xf32>
%c2 = arith.constant 2 : index
%dim_1 = tensor.dim %arg0, %c2 : tensor<?x?x?xf32>
%c0_2 = arith.constant 0 : index
%cst = arith.constant 0.000000e+00 : f32
%0 = vector.create_mask %dim, %dim_0, %dim_1 : vector<4x8x16xi1>
%1 = vector.mask %0 { vector.transfer_read %arg0[%c0_2, %c0_2, %c0_2], %cst {in_bounds = [true, true, true]} : tensor<?x?x?xf32>, vector<4x8x16xf32> } : vector<4x8x16xi1> -> vector<4x8x16xf32>
%cst_3 = arith.constant 0.000000e+00 : f32
%2 = vector.create_mask %dim_1, %dim_0 : vector<16x8xi1>
%3 = vector.mask %2 { vector.transfer_read %arg1[%c0_2, %c0_2], %cst_3 {in_bounds = [true, true], permutation_map = affine_map<(d0, d1) -> (d1, d0)>} : tensor<?x?xf32>, vector<8x16xf32> } : vector<16x8xi1> -> vector<8x16xf32>
%4 = vector.mask %0 { vector.multi_reduction <add>, %1, %3 [0] : vector<4x8x16xf32> to vector<8x16xf32> } : vector<4x8x16xi1> -> vector<8x16xf32>
%c0_4 = arith.constant 0 : index
%5 = vector.mask %2 { vector.transfer_write %4, %arg1[%c0_4, %c0_4] {in_bounds = [true, true], permutation_map = affine_map<(d0, d1) -> (d1, d0)>} : vector<8x16xf32>, tensor<?x?xf32> } : vector<16x8xi1> -> tensor<?x?xf32>
return %5 : tensor<?x?xf32>
}
// CHECK-LABEL: func.func @vectorize_dynamic_transpose_reduction
// CHECK: %[[VAL_6:.*]] = tensor.dim
// CHECK: %[[VAL_7:.*]] = tensor.dim
// CHECK: %[[VAL_8:.*]] = tensor.dim
// CHECK: %[[VAL_135:.*]] = vector.create_mask %{{.*}}, %{{.*}}, %{{.*}} : vector<4x8x16xi1>
// CHECK: %[[VAL_139:.*]] = vector.transpose %[[VAL_135]], [1, 2, 0] : vector<4x8x16xi1> to vector<8x16x4xi1>
// Just checking a few instances to make sure the vector mask is properly propagated:
// CHECK: %[[VAL_143:.*]] = vector.extract %[[VAL_139]][0, 0] : vector<4xi1> from vector<8x16x4xi1>
// CHECK: %[[VAL_144:.*]] = vector.mask %[[VAL_143]] { vector.reduction <add>
// CHECK: %[[VAL_145:.*]] = vector.insertelement %[[VAL_144]]
// CHECK: %[[VAL_148:.*]] = vector.extract %[[VAL_139]][0, 1] : vector<4xi1> from vector<8x16x4xi1>
// CHECK: %[[VAL_149:.*]] = vector.mask %[[VAL_148]] { vector.reduction <add>
// CHECK: %[[VAL_150:.*]] = vector.insertelement %[[VAL_149]]
// CHECK: %[[VAL_153:.*]] = vector.extract %[[VAL_139]][0, 2] : vector<4xi1> from vector<8x16x4xi1>
// CHECK: %[[VAL_154:.*]] = vector.mask %[[VAL_153]] { vector.reduction <add>
// CHECK: %[[VAL_155:.*]] = vector.insertelement %[[VAL_154]]
// CHECK: %[[VAL_158:.*]] = vector.extract %[[VAL_139]][0, 3] : vector<4xi1> from vector<8x16x4xi1>
// CHECK: %[[VAL_159:.*]] = vector.mask %[[VAL_158]] { vector.reduction <add>
// CHECK: %[[VAL_160:.*]] = vector.insertelement %[[VAL_159]]
func.func @vector_multi_reduction_parallel_middle(%arg0: vector<3x4x5xf32>, %acc: vector<4xf32>) -> vector<4xf32> {
%0 = vector.multi_reduction <add>, %arg0, %acc [0, 2] : vector<3x4x5xf32> to vector<4xf32>
return %0 : vector<4xf32>
}
// CHECK-LABEL: func @vector_multi_reduction_parallel_middle
// CHECK-SAME: %[[INPUT:.+]]: vector<3x4x5xf32>, %[[ACC:.+]]: vector<4xf32>
// CHECK: vector.transpose %[[INPUT]], [1, 0, 2] : vector<3x4x5xf32> to vector<4x3x5xf32>
func.func private @scalable_dims(%A : vector<8x[4]x2xf32>, %B: vector<8x[4]xf32>) -> vector<8x[4]xf32> {
%0 = vector.multi_reduction <add>, %A, %B [2] : vector<8x[4]x2xf32> to vector<8x[4]xf32>
return %0 : vector<8x[4]xf32>
}
// CHECK-LABEL: func.func private @scalable_dims(
// CHECK-SAME: %[[VAL_0:.*]]: vector<8x[4]x2xf32>,
// CHECK-SAME: %[[VAL_1:.*]]: vector<8x[4]xf32>) -> vector<8x[4]xf32> {
// CHECK-DAG: %[[VAL_2:.*]] = arith.constant dense<0.000000e+00> : vector<[32]xf32>
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 0 : index
// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 1 : index
// CHECK-DAG: %[[VAL_34:.*]] = arith.constant 31 : index
// CHECK: %[[VAL_35:.*]] = vector.extract %[[VAL_0]][0, 0] : vector<2xf32> from vector<8x[4]x2xf32>
// CHECK: %[[VAL_36:.*]] = vector.extract %[[VAL_1]][0, 0] : f32 from vector<8x[4]xf32>
// CHECK: %[[VAL_37:.*]] = vector.reduction <add>, %[[VAL_35]], %[[VAL_36]] : vector<2xf32> into f32
// CHECK: %[[VAL_38:.*]] = vector.insertelement %[[VAL_37]], %[[VAL_2]]{{\[}}%[[VAL_3]] : index] : vector<[32]xf32>
// CHECK: %[[VAL_39:.*]] = vector.extract %[[VAL_0]][0, 1] : vector<2xf32> from vector<8x[4]x2xf32>
// CHECK: %[[VAL_40:.*]] = vector.extract %[[VAL_1]][0, 1] : f32 from vector<8x[4]xf32>
// CHECK: %[[VAL_41:.*]] = vector.reduction <add>, %[[VAL_39]], %[[VAL_40]] : vector<2xf32> into f32
// CHECK: %[[VAL_42:.*]] = vector.insertelement %[[VAL_41]], %[[VAL_38]]{{\[}}%[[VAL_4]] : index] : vector<[32]xf32>
// (...)
// CHECK: %[[VAL_159:.*]] = vector.extract %[[VAL_0]][7, 3] : vector<2xf32> from vector<8x[4]x2xf32>
// CHECK: %[[VAL_160:.*]] = vector.extract %[[VAL_1]][7, 3] : f32 from vector<8x[4]xf32>
// CHECK: %[[VAL_161:.*]] = vector.reduction <add>, %[[VAL_159]], %[[VAL_160]] : vector<2xf32> into f32
// CHECK: %[[VAL_162:.*]] = vector.insertelement %[[VAL_161]], %{{.*}}{{\[}}%[[VAL_34]] : index] : vector<[32]xf32>
// CHECK: %[[VAL_163:.*]] = vector.shape_cast %[[VAL_162]] : vector<[32]xf32> to vector<8x[4]xf32>
// CHECK: return %[[VAL_163]] : vector<8x[4]xf32>
// Check that OneDimMultiReductionToTwoDim handles scalable dim
func.func @scalable_dim_1d(%A: vector<[4]xf32>, %B: f32, %C: vector<[4]xi1>) -> f32 {
%0 = vector.mask %C { vector.multi_reduction <add>, %A, %B [0] : vector<[4]xf32> to f32 } : vector<[4]xi1> -> f32
return %0 : f32
}
// CHECK-LABEL: func.func @scalable_dim_1d(
// CHECK-SAME: %[[ARG_0:.*]]: vector<[4]xf32>,
// CHECK-SAME: %[[ARG_1:.*]]: f32,
// CHECK-SAME: %[[ARG_2:.*]]: vector<[4]xi1>) -> f32 {
// CHECK-DAG: %[[VAL_0:.*]] = arith.constant 0 : index
// CHECK-DAG: %[[VAL_1:.*]] = arith.constant dense<0.000000e+00> : vector<1xf32>
// CHECK: %[[VAL_2:.*]] = vector.mask %[[ARG_2]] { vector.reduction <add>, %[[ARG_0]], %[[ARG_1]] : vector<[4]xf32> into f32 } : vector<[4]xi1> -> f32
// CHECK: %[[VAL_3:.*]] = vector.insertelement %[[VAL_2]], %[[VAL_1]][%[[VAL_0]] : index] : vector<1xf32>
// CHECK: %[[VAL_4:.*]] = vector.extract %[[VAL_3]][0] : f32 from vector<1xf32>
// CHECK: return %[[VAL_4]] : f32
module attributes {transform.with_named_sequence} {
transform.named_sequence @__transform_main(%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.lower_multi_reduction lowering_strategy = "innerreduction"
} : !transform.op<"func.func">
transform.yield
}
}
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