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|
// RUN: mlir-opt %s -test-vector-reduction-to-contract-patterns -split-input-file | FileCheck %s
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d0, d2)>
// CHECK-LABEL: multidimreduction_contract
// CHECK-SAME: (%[[ARG0:.*]]: vector<8x32x16xf32>, %[[ARG1:.*]]: vector<8x32x16xf32>, %[[ARG2:.*]]: vector<8x16xf32>)
// CHECK-NEXT: %[[R:.+]] = vector.contract {indexing_maps = [#[[$map0]], #[[$map0]], #[[$map1]]],
// CHECK-SAME: iterator_types = ["parallel", "reduction", "parallel"], kind = #vector.kind<add>}
// CHECK-SAME: %[[ARG0]], %[[ARG1]], %[[ARG2]] : vector<8x32x16xf32>, vector<8x32x16xf32> into vector<8x16xf32>
// CHECK-NEXT: return %[[R]] : vector<8x16xf32>
func.func @multidimreduction_contract(
%arg0: vector<8x32x16xf32>,%arg1: vector<8x32x16xf32>, %acc: vector<8x16xf32>) -> vector<8x16xf32> {
%0 = arith.mulf %arg0, %arg1 : vector<8x32x16xf32>
%1 = vector.multi_reduction <add>, %0, %acc [1] : vector<8x32x16xf32> to vector<8x16xf32>
return %1 : vector<8x16xf32>
}
// -----
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d0, d2)>
// CHECK-LABEL: multidimreduction_contract_int
// CHECK-SAME: (%[[ARG0:.*]]: vector<8x32x16xi32>, %[[ARG1:.*]]: vector<8x32x16xi32>, %[[ARG2:.*]]: vector<8x16xi32>)
// CHECK-NEXT: %[[R:.+]] = vector.contract {indexing_maps = [#[[$map0]], #[[$map0]], #[[$map1]]],
// CHECK-SAME: iterator_types = ["parallel", "reduction", "parallel"], kind = #vector.kind<add>}
// CHECK-SAME: %[[ARG0]], %[[ARG1]], %[[ARG2]] : vector<8x32x16xi32>, vector<8x32x16xi32> into vector<8x16xi32>
// CHECK-NEXT: return %[[R]] : vector<8x16xi32>
func.func @multidimreduction_contract_int(
%arg0: vector<8x32x16xi32>,%arg1: vector<8x32x16xi32>, %acc: vector<8x16xi32>) -> vector<8x16xi32> {
%0 = arith.muli %arg0, %arg1 : vector<8x32x16xi32>
%1 = vector.multi_reduction <add>, %0, %acc [1] : vector<8x32x16xi32> to vector<8x16xi32>
return %1 : vector<8x16xi32>
}
// -----
#map0 = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
#map1 = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d1, d2, d0)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
// CHECK-DAG: #[[$map2:.*]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: contract_transpose
// CHECK-SAME: (%[[ARG0:.+]]: vector<32x16x8xf32>,
// CHECK-NEXT: %[[C0:.+]] = arith.constant dense<0.000000e+00> : vector<8x32xf32>
// CHECK-NEXT: %[[R:.+]] = vector.contract {indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]],
// CHECK-SAME: iterator_types = ["parallel", "parallel", "reduction"], kind = #vector.kind<add>}
// CHECK-SAME: %[[ARG0]], %{{.*}}, %[[C0]] : vector<32x16x8xf32>, vector<8x32x16xf32> into vector<8x32xf32>
// CHECK-NEXT: return %[[R]] : vector<8x32xf32>
func.func @contract_transpose(
%arg0: vector<32x16x8xf32>, %arg1: vector<8x32x16xf32>) -> vector<8x32xf32> {
%cst = arith.constant dense<0.000000e+00> : vector<8x32xf32>
%0 = vector.transpose %arg0, [2, 0, 1] : vector<32x16x8xf32> to vector<8x32x16xf32>
%1 = vector.contract {indexing_maps = [#map0, #map0, #map1],
iterator_types = ["parallel", "parallel", "reduction"],
kind = #vector.kind<add>} %0, %arg1, %cst : vector<8x32x16xf32>, vector<8x32x16xf32> into vector<8x32xf32>
return %1 : vector<8x32xf32>
}
// -----
#map0 = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
#map1 = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d1, d2)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
// CHECK-DAG: #[[$map2:.*]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: contract_broadcast
// CHECK-SAME: (%[[ARG0:.+]]: vector<32x16xf32>,
// CHECK-NEXT: %[[C0:.+]] = arith.constant dense<0.000000e+00> : vector<8x32xf32>
// CHECK-NEXT: %[[R:.+]] = vector.contract {indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]],
// CHECK-SAME: iterator_types = ["parallel", "parallel", "reduction"], kind = #vector.kind<add>}
// CHECK-SAME: %[[ARG0]], %{{.*}}, %[[C0]] : vector<32x16xf32>, vector<8x32x16xf32> into vector<8x32xf32>
// CHECK-NEXT: return %[[R]] : vector<8x32xf32>
func.func @contract_broadcast(
%arg0: vector<32x16xf32>, %arg1: vector<8x32x16xf32>) -> vector<8x32xf32> {
%cst = arith.constant dense<0.000000e+00> : vector<8x32xf32>
%0 = vector.broadcast %arg0 : vector<32x16xf32> to vector<8x32x16xf32>
%1 = vector.contract {indexing_maps = [#map0, #map0, #map1],
iterator_types = ["parallel", "parallel", "reduction"],
kind = #vector.kind<add>} %0, %arg1, %cst : vector<8x32x16xf32>, vector<8x32x16xf32> into vector<8x32xf32>
return %1 : vector<8x32xf32>
}
// -----
// Test that CombineContractBroadcast is able to combine a broadcast that
// creates a unit dim that is consumed by a reduction iterator, dropping that
// reduction iterator, as long as there is another reduction iterator left.
#map0 = affine_map<(d0, d1, d2, d3) -> (d0, d1, d3)>
#map1 = affine_map<(d0, d1, d2, d3) -> (d0, d2, d3)>
#map2 = affine_map<(d0, d1, d2, d3) -> (d1, d2)>
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d0, d2)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d1, d2)>
// CHECK-DAG: #[[$map2:.*]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-LABEL: contract_broadcast_unit_dim_reduction
// CHECK-SAME: (%[[ARG0:.+]]: vector<8x4xi32>, %[[ARG1:.+]]: vector<8x4xi32>, %[[ARG2:.+]]: vector<8x8xi32>)
// CHECK: vector.contract
// CHECK-SAME: indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]]
// CHECK-SAME: iterator_types = ["parallel", "parallel", "reduction"]
// CHECK-SAME: %[[ARG0]], %[[ARG1]], %[[ARG2]] : vector<8x4xi32>, vector<8x4xi32> into vector<8x8xi32>
func.func @contract_broadcast_unit_dim_reduction(%arg0 : vector<8x4xi32>, %arg1 : vector<8x4xi32>, %arg2 : vector<8x8xi32>) -> vector<8x8xi32> {
%0 = vector.broadcast %arg0 : vector<8x4xi32> to vector<1x8x4xi32>
%1 = vector.broadcast %arg1 : vector<8x4xi32> to vector<1x8x4xi32>
%result = vector.contract {
indexing_maps = [#map0, #map1, #map2],
iterator_types = ["reduction", "parallel", "parallel", "reduction"],
kind = #vector.kind<add>
} %0, %1, %arg2 : vector<1x8x4xi32>, vector<1x8x4xi32> into vector<8x8xi32>
return %result : vector<8x8xi32>
}
// -----
// Test that CombineContractBroadcast will not combine a broadcast that creates
// a non-unit dim that is consumed by a reduction iterator.
// Moreover, the affine_map's are permuting the position of that reduction
// iterator with the position of a parallel iterator to ensure that
// the logic guarding that case does not mix up dimensions here.
#map0 = affine_map<(d0, d1, d2, d3) -> (d1, d0, d3)>
#map1 = affine_map<(d0, d1, d2, d3) -> (d1, d2, d3)>
#map2 = affine_map<(d0, d1, d2, d3) -> (d0, d2)>
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2, d3) -> (d1, d0, d3)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2, d3) -> (d1, d2, d3)>
// CHECK-DAG: #[[$map2:.*]] = affine_map<(d0, d1, d2, d3) -> (d0, d2)>
// CHECK-LABEL: contract_broadcast_non_unit_dim_reduction_with_permutation
// CHECK-SAME: (%[[ARG0:.+]]: vector<8x4xi32>, %[[ARG1:.+]]: vector<8x4xi32>, %[[ARG2:.+]]: vector<8x8xi32>)
// CHECK: %[[BROADCAST0:.+]] = vector.broadcast %[[ARG0]] : vector<8x4xi32> to vector<2x8x4xi32>
// CHECK: %[[BROADCAST1:.+]] = vector.broadcast %[[ARG1]] : vector<8x4xi32> to vector<2x8x4xi32>
// CHECK: vector.contract
// CHECK-SAME: indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]]
// CHECK-SAME: iterator_types = ["parallel", "reduction", "parallel", "reduction"]
// CHECK-SAME: %[[BROADCAST0]], %[[BROADCAST1]], %[[ARG2]] : vector<2x8x4xi32>, vector<2x8x4xi32> into vector<8x8xi32>
func.func @contract_broadcast_non_unit_dim_reduction_with_permutation(%arg0 : vector<8x4xi32>, %arg1 : vector<8x4xi32>, %arg2 : vector<8x8xi32>) -> vector<8x8xi32> {
%0 = vector.broadcast %arg0 : vector<8x4xi32> to vector<2x8x4xi32>
%1 = vector.broadcast %arg1 : vector<8x4xi32> to vector<2x8x4xi32>
%result = vector.contract {
indexing_maps = [#map0, #map1, #map2],
iterator_types = ["parallel", "reduction", "parallel", "reduction"],
kind = #vector.kind<add>
} %0, %1, %arg2 : vector<2x8x4xi32>, vector<2x8x4xi32> into vector<8x8xi32>
return %result : vector<8x8xi32>
}
// -----
// Test that CombineContractBroadcast is not combining this case, as that would
// result in dropping this contract's only reduction iterator.
#map0 = affine_map<(d0, d1, d2) -> (d0, d1)>
#map1 = affine_map<(d0, d1, d2) -> (d0, d2)>
#map2 = affine_map<(d0, d1, d2) -> (d1, d2)>
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d0, d1)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d0, d2)>
// CHECK-DAG: #[[$map2:.*]] = affine_map<(d0, d1, d2) -> (d1, d2)>
// CHECK-LABEL: contract_broadcast_unit_dim_reduction_as_only_reduction
// CHECK-SAME: (%[[ARG0:.+]]: vector<8xi32>, %[[ARG1:.+]]: vector<8xi32>, %[[ARG2:.+]]: vector<8x8xi32>)
// CHECK: %[[BROADCAST0:.+]] = vector.broadcast %[[ARG0]] : vector<8xi32> to vector<1x8xi32>
// CHECK: %[[BROADCAST1:.+]] = vector.broadcast %[[ARG1]] : vector<8xi32> to vector<1x8xi32>
// CHECK: vector.contract
// CHECK-SAME: indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]]
// CHECK-SAME: iterator_types = ["reduction", "parallel", "parallel"]
// CHECK-SAME: %[[BROADCAST0]], %[[BROADCAST1]], %[[ARG2]] : vector<1x8xi32>, vector<1x8xi32> into vector<8x8xi32>
func.func @contract_broadcast_unit_dim_reduction_as_only_reduction(%arg0 : vector<8xi32>, %arg1 : vector<8xi32>, %arg2 : vector<8x8xi32>) -> vector<8x8xi32> {
%0 = vector.broadcast %arg0 : vector<8xi32> to vector<1x8xi32>
%1 = vector.broadcast %arg1 : vector<8xi32> to vector<1x8xi32>
%result = vector.contract {
indexing_maps = [#map0, #map1, #map2],
iterator_types = ["reduction", "parallel", "parallel"],
kind = #vector.kind<add>
} %0, %1, %arg2 : vector<1x8xi32>, vector<1x8xi32> into vector<8x8xi32>
return %result : vector<8x8xi32>
}
// -----
// Test that CombineContractBroadcast is not combining this case, as that would
// result in a dimension being unused in the LHS and RHS maps, which is illegal.
#map0 = affine_map<(d0, d1, d2) -> (d0, d2)>
#map1 = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
#map2 = affine_map<(d0, d1, d2) -> (d1)>
// CHECK-DAG: #[[$map0:.*]] = affine_map<(d0, d1, d2) -> (d0, d2)>
// CHECK-DAG: #[[$map1:.*]] = affine_map<(d0, d1, d2) -> (d0, d1, d2)>
// CHECK-DAG: #[[$map2:.*]] = affine_map<(d0, d1, d2) -> (d1)>
// CHECK-LABEL: contract_broadcast_dimension_would_go_unused_in_lhs_rhs
// CHECK-SAME: (%[[ARG0:.+]]: vector<1x2xi32>, %[[ARG1:.+]]: vector<2xi32>, %[[ARG2:.+]]: vector<1xi32>)
// CHECK: %[[BROADCAST1:.+]] = vector.broadcast %[[ARG1]] : vector<2xi32> to vector<1x1x2xi32>
// CHECK: vector.contract
// CHECK-SAME: indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]]
// CHECK-SAME: iterator_types = ["reduction", "parallel", "reduction"]
// CHECK-SAME: %[[ARG0]], %[[BROADCAST1]], %[[ARG2]] : vector<1x2xi32>, vector<1x1x2xi32> into vector<1xi32>
func.func @contract_broadcast_dimension_would_go_unused_in_lhs_rhs(%arg0 : vector<1x2xi32>, %arg1 : vector<2xi32>, %arg2 : vector<1xi32>) -> vector<1xi32> {
%1 = vector.broadcast %arg1 : vector<2xi32> to vector<1x1x2xi32>
%result = vector.contract {
indexing_maps = [#map0, #map1, #map2],
iterator_types = ["reduction", "parallel", "reduction"],
kind = #vector.kind<add>
} %arg0, %1, %arg2 : vector<1x2xi32>, vector<1x1x2xi32> into vector<1xi32>
return %result : vector<1xi32>
}
// -----
// Test that CombineContractBroadcast is not combining this case, as that would
// result in a vector.contract without a reduction dimention pair, as the only
// reduction dimension would be used by only one side among LHS, RHS.
// This is arguably a convoluted edge case (the affine_maps here look weird!)
// but it is something that we actually ran into from linalg.matmul tests that
// were exercising 1x1 shapes, and using various drop-unit-dims patterns.
#map0 = affine_map<(d0, d1) -> (d1)>
#map1 = affine_map<(d0, d1) -> (d1, d0)>
#map2 = affine_map<(d0, d1) -> (d0)>
// CHECK-LABEL: contract_broadcast_would_have_no_reduction_dim_pair
// CHECK-SAME: (%[[ARG0:.+]]: vector<1xf32>, %[[ARG1:.+]]: vector<1xf32>, %[[ARG2:.+]]: vector<1xf32>)
// CHECK: %[[BROADCAST1:.+]] = vector.broadcast %[[ARG1]] : vector<1xf32> to vector<1x1xf32>
// CHECK: vector.contract
// CHECK-SAME: indexing_maps = [#[[$map0]], #[[$map1]], #[[$map2]]]
// CHECK-SAME: iterator_types = ["parallel", "reduction"]
// CHECK-SAME: %[[ARG0]], %[[BROADCAST1]], %[[ARG2]] : vector<1xf32>, vector<1x1xf32> into vector<1xf32>
func.func @contract_broadcast_would_have_no_reduction_dim_pair(%arg0 : vector<1xf32>, %arg1 : vector<1xf32>, %arg2 : vector<1xf32>) -> vector<1xf32> {
%1 = vector.broadcast %arg1 : vector<1xf32> to vector<1x1xf32>
%result = vector.contract {
indexing_maps = [#map0, #map1, #map2],
iterator_types = ["parallel", "reduction"],
kind = #vector.kind<add>
} %arg0, %1, %arg2 : vector<1xf32>, vector<1x1xf32> into vector<1xf32>
return %result : vector<1xf32>
}
//===----------------------------------------------------------------------===//
// Reorder casting ops and vector ops. The casting ops have almost identical
// pattern, so only arith.extsi op is tested.
//===----------------------------------------------------------------------===//
// -----
func.func @broadcast_vector_extsi(%a : vector<4xi8>) -> vector<2x4xi32> {
// CHECK: %[[EXT:.+]] = arith.extsi %{{.+}} : vector<4xi8> to vector<4xi32>
// CHECK: vector.broadcast %[[EXT:.+]] : vector<4xi32> to vector<2x4xi32>
%b = vector.broadcast %a : vector<4xi8> to vector<2x4xi8>
%r = arith.extsi %b : vector<2x4xi8> to vector<2x4xi32>
return %r : vector<2x4xi32>
}
// -----
func.func @broadcast_scalar_extsi(%a : i8) -> vector<2x4xi32> {
// CHECK: %[[EXT:.+]] = arith.extsi %{{.+}} : i8 to i32
// CHECK: vector.broadcast %[[EXT]] : i32 to vector<2x4xi32>
%b = vector.broadcast %a : i8 to vector<2x4xi8>
%r = arith.extsi %b : vector<2x4xi8> to vector<2x4xi32>
return %r : vector<2x4xi32>
}
// -----
func.func @transpose_extsi(%a : vector<4x2xi8>) -> vector<2x4xi32> {
// CHECK: %[[EXT:.+]] = arith.extsi %{{.+}} : vector<4x2xi8> to vector<4x2xi32>
// CHECK: vector.transpose %[[EXT]], [1, 0] : vector<4x2xi32> to vector<2x4xi32>
%b = vector.transpose %a, [1, 0]: vector<4x2xi8> to vector<2x4xi8>
%r = arith.extsi %b : vector<2x4xi8> to vector<2x4xi32>
return %r : vector<2x4xi32>
}
//===----------------------------------------------------------------------===//
// Reorder elementwise ops and vector ops.
//===----------------------------------------------------------------------===//
// -----
// CHECK-LABEL: func @transpose_elementwise_same_type
// CHECK-SAME: (%[[A:.+]]: vector<4x2xf32>, %[[B:.+]]: vector<4x2xf32>)
// CHECK: %[[ADD:.+]] = arith.addf %[[A]], %[[B]] : vector<4x2xf32>
// CHECK: %[[T:.+]] = vector.transpose %[[ADD]], [1, 0]
// CHECK: return %[[T]]
func.func @transpose_elementwise_same_type(%a : vector<4x2xf32>, %b : vector<4x2xf32>) -> vector<2x4xf32> {
%at = vector.transpose %a, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
%bt = vector.transpose %b, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
%r = arith.addf %at, %bt : vector<2x4xf32>
return %r : vector<2x4xf32>
}
// -----
// CHECK-LABEL: func @transpose_elementwise_diff_operand_types
// CHECK-SAME: (%[[COND:.+]]: vector<4x2xi1>, %[[A:.+]]: vector<4x2xf32>, %[[B:.+]]: vector<4x2xf32>)
// CHECK: %[[S:.+]] = arith.select %[[COND]], %[[A]], %[[B]] : vector<4x2xi1>, vector<4x2xf32>
// CHECK: %[[T:.+]] = vector.transpose %[[S]], [1, 0] : vector<4x2xf32> to vector<2x4xf32>
// CHECK: return %[[T]]
func.func @transpose_elementwise_diff_operand_types(%cond: vector<4x2xi1>, %a : vector<4x2xf32>, %b : vector<4x2xf32>) -> vector<2x4xf32> {
%condt = vector.transpose %cond, [1, 0]: vector<4x2xi1> to vector<2x4xi1>
%at = vector.transpose %a, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
%bt = vector.transpose %b, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
%r = arith.select %condt, %at, %bt : vector<2x4xi1>, vector<2x4xf32>
return %r : vector<2x4xf32>
}
// -----
// CHECK-LABEL: func @transpose_elementwise_diff_operand_result_type
// CHECK-SAME: (%[[A:.+]]: vector<4x2xf32>, %[[B:.+]]: vector<4x2xf32>)
// CHECK: %[[CMP:.+]] = arith.cmpf olt, %[[A]], %[[B]] : vector<4x2xf32>
// CHECK: %[[T:.+]] = vector.transpose %[[CMP]], [1, 0] : vector<4x2xi1> to vector<2x4xi1>
// CHECK: return %[[T]]
func.func @transpose_elementwise_diff_operand_result_type(%a : vector<4x2xf32>, %b : vector<4x2xf32>) -> vector<2x4xi1> {
%at = vector.transpose %a, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
%bt = vector.transpose %b, [1, 0]: vector<4x2xf32> to vector<2x4xf32>
%r = arith.cmpf olt, %at, %bt : vector<2x4xf32>
return %r : vector<2x4xi1>
}
// -----
// CHECK-LABEL: func @transpose_elementwise_splat_constant
// CHECK-SAME: (%[[A:.+]]: vector<4x6x3x2xf32>)
// CHECK: %[[B:.+]] = arith.constant dense<5.000000e+00> : vector<4x6x3x2xf32>
// CHECK: %[[ADD:.+]] = arith.addf %[[A]], %[[B]] : vector<4x6x3x2xf32>
// CHECK: %[[T:.+]] = vector.transpose %[[ADD]], [1, 0, 3, 2] : vector<4x6x3x2xf32> to vector<6x4x2x3xf32>
// CHECK: return %[[T:.+]] : vector<6x4x2x3xf32>
func.func @transpose_elementwise_splat_constant(%a : vector<4x6x3x2xf32>) -> vector<6x4x2x3xf32> {
%b = arith.constant dense<5.0> : vector<6x4x2x3xf32>
%at = vector.transpose %a, [1, 0, 3, 2]: vector<4x6x3x2xf32> to vector<6x4x2x3xf32>
%r = arith.addf %at, %b : vector<6x4x2x3xf32>
return %r : vector<6x4x2x3xf32>
}
// -----
// CHECK-LABEL: func @transpose_elementwise_diff_map
// CHECK: vector.transpose
// CHECK: vector.transpose
// CHECK: arith.addf
func.func @transpose_elementwise_diff_map(%a : vector<4x6x3x2xf32>, %b: vector<6x2x4x3xf32>) -> vector<6x4x2x3xf32> {
%at = vector.transpose %a, [1, 0, 3, 2]: vector<4x6x3x2xf32> to vector<6x4x2x3xf32>
%bt = vector.transpose %b, [0, 2, 1, 3]: vector<6x2x4x3xf32> to vector<6x4x2x3xf32>
%r = arith.addf %at, %bt : vector<6x4x2x3xf32>
return %r : vector<6x4x2x3xf32>
}
// -----
// CHECK-DAG: #[[$LHS_MAP:.+]] = affine_map<(d0, d1, d2, d3) -> (d0, d3, d1)>
// CHECK-DAG: #[[$RHS_MAP:.+]] = affine_map<(d0, d1, d2, d3) -> (d3, d2)>
// CHECK-DAG: #[[$ACC_MAP:.+]] = affine_map<(d0, d1, d2, d3) -> (d0, d2, d1)>
// CHECK-LABEL: func.func @contract_result_transpose
// CHECK-SAME: (%[[LHS:.+]]: vector<2x4x4xf32>, %[[RHS:.+]]: vector<4x8xf32>, %[[ACC:.+]]: vector<2x8x4xf32>)
// CHECK: %[[CONTRACT:.+]] = vector.contract
// CHECK-SAME: indexing_maps = [#[[$LHS_MAP]], #[[$RHS_MAP]], #[[$ACC_MAP]]]
// CHECK-SAME: iterator_types = ["parallel", "parallel", "parallel", "reduction"]
// CHECK-SAME: kind = #vector.kind<add>
// CHECK-SAME: %[[LHS]], %[[RHS]], %[[ACC]]
// CHECK: return %[[CONTRACT]]
func.func @contract_result_transpose(%lhs : vector<2x4x4xf32>, %rhs: vector<4x8xf32>, %acc: vector<2x8x4xf32>) -> vector<2x8x4xf32> {
%accT = vector.transpose %acc, [0, 2, 1] : vector<2x8x4xf32> to vector<2x4x8xf32>
%contract = vector.contract {
indexing_maps = [
affine_map<(d0, d1, d2, d3) -> (d0, d3, d1)>,
affine_map<(d0, d1, d2, d3) -> (d3, d2)>,
affine_map<(d0, d1, d2, d3) -> (d0, d1, d2)>
],
iterator_types = ["parallel", "parallel", "parallel", "reduction"],
kind = #vector.kind<add>
} %lhs, %rhs, %accT : vector<2x4x4xf32>, vector<4x8xf32> into vector<2x4x8xf32>
%resT = vector.transpose %contract, [0, 2, 1] : vector<2x4x8xf32> to vector<2x8x4xf32>
return %resT : vector<2x8x4xf32>
}
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