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[MLIR][AArch64] Add an extra test for Neon I8MM (NFC) (#135777)
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‎mlir/test/Dialect/ArmNeon/lower-to-arm-neon.mlir‎

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@@ -355,6 +355,112 @@ func.func @vector_arm_neon_k_unroll_vecmat(%lhs: vector<1x32xi8>, %rhs: vector<2
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return %res : vector<1x2xi32>
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}
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// -----
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// Test with more than one iteration across all of the M, N and K dimensions.
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// Shows multiple independent accumulators as well as accumulator reuse.
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// For each iterarion [I, J, K] sub-tiles are extracted from offsets as follows:
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// LHS: [2*I, 8*K]
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// RHS: [2*J, 8*K]
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// ACC: [2*I, 2*J]
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// Sub-tile insert offsets for the result are as like ACC (there are redundant
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// inserts).
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// CHECK-LABEL: @vector_arm_neon_mnk_unroll
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// CHECK-SAME: %[[LHS:arg0]]: vector<4x16xi8>
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// CHECK-SAME: %[[RHS:arg1]]: vector<4x16xi8>
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// CHECK-SAME: %[[ACC:arg2]]: vector<4x4xi32>
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// CHECK-SAME: -> vector<4x4xi32> {
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// CHECK-NEXT: %cst = arith.constant dense<0> : vector<4x4xi32>
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// Iteration: [0, 0, 0]
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// CHECK-NEXT: %[[VAL_0:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [0, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_1:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [0, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_2:[0-9]+]] = vector.extract_strided_slice %[[ACC]] {offsets = [0, 0], sizes = [2, 2], strides = [1, 1]} : vector<4x4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_3:[0-9]+]] = vector.shape_cast %[[VAL_0]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_4:[0-9]+]] = vector.shape_cast %[[VAL_1]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_5:[0-9]+]] = vector.shape_cast %[[VAL_2]] : vector<2x2xi32> to vector<4xi32>
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// CHECK-NEXT: %[[KACC_0_v0:[0-9]+]] = arm_neon.intr.smmla %[[VAL_5]], %[[VAL_3]], %[[VAL_4]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_7:[0-9]+]] = vector.shape_cast %[[KACC_0_v0]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_8:[0-9]+]] = vector.insert_strided_slice %[[VAL_7]], %cst {offsets = [0, 0], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [0, 0, 1]
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// CHECK-NEXT: %[[VAL_9:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [0, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_10:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [0, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_11:[0-9]+]] = vector.shape_cast %[[VAL_9]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_12:[0-9]+]] = vector.shape_cast %[[VAL_10]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[KACC_0_v1:[0-9]+]] = arm_neon.intr.smmla %[[KACC_0_v0]], %[[VAL_11]], %[[VAL_12]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_14:[0-9]+]] = vector.shape_cast %[[KACC_0_v1]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_15:[0-9]+]] = vector.insert_strided_slice %[[VAL_14]], %[[VAL_8]] {offsets = [0, 0], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [0, 1, 0]
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// CHECK-NEXT: %[[VAL_16:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [0, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_17:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [2, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_18:[0-9]+]] = vector.extract_strided_slice %[[ACC]] {offsets = [0, 2], sizes = [2, 2], strides = [1, 1]} : vector<4x4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_19:[0-9]+]] = vector.shape_cast %[[VAL_16]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_20:[0-9]+]] = vector.shape_cast %[[VAL_17]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_21:[0-9]+]] = vector.shape_cast %[[VAL_18]] : vector<2x2xi32> to vector<4xi32>
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// CHECK-NEXT: %[[KACC_1_v0:[0-9]+]] = arm_neon.intr.smmla %[[VAL_21]], %[[VAL_19]], %[[VAL_20]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_23:[0-9]+]] = vector.shape_cast %[[KACC_1_v0]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_24:[0-9]+]] = vector.insert_strided_slice %[[VAL_23]], %[[VAL_15]] {offsets = [0, 2], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [0, 1, 1]
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// CHECK-NEXT: %[[VAL_25:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [0, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_26:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [2, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_27:[0-9]+]] = vector.shape_cast %[[VAL_25]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_28:[0-9]+]] = vector.shape_cast %[[VAL_26]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[KACC_1_v1:[0-9]+]] = arm_neon.intr.smmla %[[KACC_1_v0]], %[[VAL_27]], %[[VAL_28]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_30:[0-9]+]] = vector.shape_cast %[[KACC_1_v1]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_31:[0-9]+]] = vector.insert_strided_slice %[[VAL_30]], %[[VAL_24]] {offsets = [0, 2], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [1, 0, 0]
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// CHECK-NEXT: %[[VAL_32:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [2, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_33:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [0, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_34:[0-9]+]] = vector.extract_strided_slice %[[ACC]] {offsets = [2, 0], sizes = [2, 2], strides = [1, 1]} : vector<4x4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_35:[0-9]+]] = vector.shape_cast %[[VAL_32]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_36:[0-9]+]] = vector.shape_cast %[[VAL_33]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_37:[0-9]+]] = vector.shape_cast %[[VAL_34]] : vector<2x2xi32> to vector<4xi32>
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// CHECK-NEXT: %[[KACC_2_v0:[0-9]+]] = arm_neon.intr.smmla %[[VAL_37]], %[[VAL_35]], %[[VAL_36]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_39:[0-9]+]] = vector.shape_cast %[[KACC_2_v0]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_40:[0-9]+]] = vector.insert_strided_slice %[[VAL_39]], %[[VAL_31]] {offsets = [2, 0], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [1, 0, 1]
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// CHECK-NEXT: %[[VAL_41:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [2, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_42:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [0, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_43:[0-9]+]] = vector.shape_cast %[[VAL_41]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_44:[0-9]+]] = vector.shape_cast %[[VAL_42]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[KACC_2_v1:[0-9]+]] = arm_neon.intr.smmla %[[KACC_2_v0]], %[[VAL_43]], %[[VAL_44]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_46:[0-9]+]] = vector.shape_cast %[[KACC_2_v1]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_47:[0-9]+]] = vector.insert_strided_slice %[[VAL_46]], %[[VAL_40]] {offsets = [2, 0], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [1, 1, 0]
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// CHECK-NEXT: %[[VAL_48:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [2, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_49:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [2, 0], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_50:[0-9]+]] = vector.extract_strided_slice %[[ACC]] {offsets = [2, 2], sizes = [2, 2], strides = [1, 1]} : vector<4x4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_51:[0-9]+]] = vector.shape_cast %[[VAL_48]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_52:[0-9]+]] = vector.shape_cast %[[VAL_49]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_53:[0-9]+]] = vector.shape_cast %[[VAL_50]] : vector<2x2xi32> to vector<4xi32>
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// CHECK-NEXT: %[[KACC_3_v0:[0-9]+]] = arm_neon.intr.smmla %[[VAL_53]], %[[VAL_51]], %[[VAL_52]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_55:[0-9]+]] = vector.shape_cast %[[KACC_3_v0]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_56:[0-9]+]] = vector.insert_strided_slice %[[VAL_55]], %[[VAL_47]] {offsets = [2, 2], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// Iteration: [1, 1, 1]
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// CHECK-NEXT: %[[VAL_57:[0-9]+]] = vector.extract_strided_slice %[[LHS]] {offsets = [2, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_58:[0-9]+]] = vector.extract_strided_slice %[[RHS]] {offsets = [2, 8], sizes = [2, 8], strides = [1, 1]} : vector<4x16xi8> to vector<2x8xi8>
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// CHECK-NEXT: %[[VAL_59:[0-9]+]] = vector.shape_cast %[[VAL_57]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[VAL_60:[0-9]+]] = vector.shape_cast %[[VAL_58]] : vector<2x8xi8> to vector<16xi8>
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// CHECK-NEXT: %[[KACC_3_v1:[0-9]+]] = arm_neon.intr.smmla %[[KACC_3_v0]], %[[VAL_59]], %[[VAL_60]] : vector<16xi8> to vector<4xi32>
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// CHECK-NEXT: %[[VAL_62:[0-9]+]] = vector.shape_cast %[[KACC_3_v1]] : vector<4xi32> to vector<2x2xi32>
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// CHECK-NEXT: %[[VAL_63:[0-9]+]] = vector.insert_strided_slice %[[VAL_62]], %[[VAL_56]] {offsets = [2, 2], strides = [1, 1]} : vector<2x2xi32> into vector<4x4xi32>
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// CHECK-NEXT: return %[[VAL_63]] : vector<4x4xi32>
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func.func @vector_arm_neon_mnk_unroll(%lhs: vector<4x16xi8>, %rhs: vector<4x16xi8>, %acc : vector<4x4xi32>) -> vector<4x4xi32> {
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%lhs_extsi = arith.extsi %lhs : vector<4x16xi8> to vector<4x16xi32>
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%rhs_extsi = arith.extsi %rhs : vector<4x16xi8> to vector<4x16xi32>
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%res = vector.contract {indexing_maps = [affine_map<(d0, d1, d2) -> (d0, d2)>, affine_map<(d0, d1, d2) -> (d1, d2)>, affine_map<(d0, d1, d2) -> (d0, d1)>], iterator_types = ["parallel", "parallel", "reduction"], kind = #vector.kind<add>} %lhs_extsi, %rhs_extsi, %acc : vector<4x16xi32>, vector<4x16xi32> into vector<4x4xi32>
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return %res : vector<4x4xi32>
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}
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module attributes {transform.with_named_sequence} {
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transform.named_sequence @__transform_main(%module: !transform.any_op {transform.readonly}) {
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%func = transform.structured.match ops{["func.func"]} in %module : (!transform.any_op) -> !transform.op<"func.func">

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