forked from OSchip/llvm-project
348 lines
21 KiB
MLIR
348 lines
21 KiB
MLIR
// NOTE: Assertions have been autogenerated by utils/generate-test-checks.py
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// RUN: mlir-opt %s -sparsification | FileCheck %s
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#SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
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#trait2 = {
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indexing_maps = [
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affine_map<(i) -> (i)>, // a
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affine_map<(i) -> (i)>, // b
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affine_map<(i) -> (i)> // x (out)
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],
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iterator_types = ["parallel"],
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doc = "x(i) = a(i) OP b(i)"
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}
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#traitc = {
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indexing_maps = [
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affine_map<(i) -> (i)>, // a
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affine_map<(i) -> (i)> // x (out)
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],
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iterator_types = ["parallel"],
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doc = "x(i) = a(i) OP c"
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}
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// CHECK-LABEL: func @add(
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// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
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// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64>,
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// CHECK-SAME: %[[VAL_2:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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// CHECK: %[[VAL_3:.*]] = constant 32 : index
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// CHECK: %[[VAL_4:.*]] = constant 0 : index
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// CHECK: %[[VAL_5:.*]] = constant true
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// CHECK: %[[VAL_6:.*]] = constant 1 : index
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// CHECK: %[[VAL_7:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_4]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_8:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_4]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_9:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_10:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
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// CHECK: %[[VAL_11:.*]] = memref.buffer_cast %[[VAL_2]] : memref<32xi64>
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// CHECK: %[[VAL_12:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_4]]] : memref<?xindex>
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// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_6]]] : memref<?xindex>
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// CHECK: %[[VAL_14:.*]]:2 = scf.while (%[[VAL_15:.*]] = %[[VAL_12]], %[[VAL_16:.*]] = %[[VAL_4]]) : (index, index) -> (index, index) {
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// CHECK: %[[VAL_17:.*]] = cmpi ult, %[[VAL_15]], %[[VAL_13]] : index
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// CHECK: scf.condition(%[[VAL_17]]) %[[VAL_15]], %[[VAL_16]] : index, index
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// CHECK: } do {
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// CHECK: ^bb0(%[[VAL_18:.*]]: index, %[[VAL_19:.*]]: index):
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// CHECK: %[[VAL_20:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_18]]] : memref<?xindex>
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// CHECK: %[[VAL_21:.*]] = cmpi eq, %[[VAL_20]], %[[VAL_19]] : index
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// CHECK: scf.if %[[VAL_21]] {
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// CHECK: %[[VAL_22:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_18]]] : memref<?xi64>
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// CHECK: %[[VAL_23:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_19]]] : memref<32xi64>
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// CHECK: %[[VAL_24:.*]] = addi %[[VAL_22]], %[[VAL_23]] : i64
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// CHECK: memref.store %[[VAL_24]], %[[VAL_11]]{{\[}}%[[VAL_19]]] : memref<32xi64>
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// CHECK: } else {
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// CHECK: scf.if %[[VAL_5]] {
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// CHECK: %[[VAL_25:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_19]]] : memref<32xi64>
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// CHECK: memref.store %[[VAL_25]], %[[VAL_11]]{{\[}}%[[VAL_19]]] : memref<32xi64>
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// CHECK: } else {
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// CHECK: }
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// CHECK: }
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// CHECK: %[[VAL_26:.*]] = cmpi eq, %[[VAL_20]], %[[VAL_19]] : index
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// CHECK: %[[VAL_27:.*]] = addi %[[VAL_18]], %[[VAL_6]] : index
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// CHECK: %[[VAL_28:.*]] = select %[[VAL_26]], %[[VAL_27]], %[[VAL_18]] : index
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// CHECK: %[[VAL_29:.*]] = addi %[[VAL_19]], %[[VAL_6]] : index
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// CHECK: scf.yield %[[VAL_28]], %[[VAL_29]] : index, index
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// CHECK: }
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// CHECK: scf.for %[[VAL_30:.*]] = %[[VAL_31:.*]]#1 to %[[VAL_3]] step %[[VAL_6]] {
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// CHECK: %[[VAL_32:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_30]]] : memref<32xi64>
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// CHECK: memref.store %[[VAL_32]], %[[VAL_11]]{{\[}}%[[VAL_30]]] : memref<32xi64>
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// CHECK: }
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// CHECK: %[[VAL_33:.*]] = memref.tensor_load %[[VAL_11]] : memref<32xi64>
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// CHECK: return %[[VAL_33]] : tensor<32xi64>
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// CHECK: }
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func @add(%arga: tensor<32xi64, #SV>,
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%argb: tensor<32xi64>,
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%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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%0 = linalg.generic #trait2
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ins(%arga, %argb: tensor<32xi64, #SV>, tensor<32xi64>)
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outs(%argx: tensor<32xi64>) {
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^bb(%a: i64, %b: i64, %x: i64):
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%0 = addi %a, %b : i64
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linalg.yield %0 : i64
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} -> tensor<32xi64>
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return %0 : tensor<32xi64>
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}
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// CHECK-LABEL: func @sub(
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// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
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// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64>,
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// CHECK-SAME: %[[VAL_2:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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// CHECK: %[[VAL_3:.*]] = constant 32 : index
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// CHECK: %[[VAL_4:.*]] = constant 0 : index
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// CHECK: %[[VAL_5:.*]] = constant true
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// CHECK: %[[VAL_6:.*]] = constant 1 : index
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// CHECK: %[[VAL_7:.*]] = constant 0 : i64
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// CHECK: %[[VAL_8:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_4]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_9:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_4]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_10:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_11:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
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// CHECK: %[[VAL_12:.*]] = memref.buffer_cast %[[VAL_2]] : memref<32xi64>
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// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_4]]] : memref<?xindex>
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// CHECK: %[[VAL_14:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_6]]] : memref<?xindex>
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// CHECK: %[[VAL_15:.*]]:2 = scf.while (%[[VAL_16:.*]] = %[[VAL_13]], %[[VAL_17:.*]] = %[[VAL_4]]) : (index, index) -> (index, index) {
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// CHECK: %[[VAL_18:.*]] = cmpi ult, %[[VAL_16]], %[[VAL_14]] : index
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// CHECK: scf.condition(%[[VAL_18]]) %[[VAL_16]], %[[VAL_17]] : index, index
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// CHECK: } do {
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// CHECK: ^bb0(%[[VAL_19:.*]]: index, %[[VAL_20:.*]]: index):
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// CHECK: %[[VAL_21:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_19]]] : memref<?xindex>
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// CHECK: %[[VAL_22:.*]] = cmpi eq, %[[VAL_21]], %[[VAL_20]] : index
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// CHECK: scf.if %[[VAL_22]] {
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// CHECK: %[[VAL_23:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_19]]] : memref<?xi64>
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// CHECK: %[[VAL_24:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_20]]] : memref<32xi64>
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// CHECK: %[[VAL_25:.*]] = subi %[[VAL_23]], %[[VAL_24]] : i64
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// CHECK: memref.store %[[VAL_25]], %[[VAL_12]]{{\[}}%[[VAL_20]]] : memref<32xi64>
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// CHECK: } else {
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// CHECK: scf.if %[[VAL_5]] {
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// CHECK: %[[VAL_26:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_20]]] : memref<32xi64>
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// CHECK: %[[VAL_27:.*]] = subi %[[VAL_7]], %[[VAL_26]] : i64
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// CHECK: memref.store %[[VAL_27]], %[[VAL_12]]{{\[}}%[[VAL_20]]] : memref<32xi64>
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// CHECK: } else {
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// CHECK: }
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// CHECK: }
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// CHECK: %[[VAL_28:.*]] = cmpi eq, %[[VAL_21]], %[[VAL_20]] : index
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// CHECK: %[[VAL_29:.*]] = addi %[[VAL_19]], %[[VAL_6]] : index
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// CHECK: %[[VAL_30:.*]] = select %[[VAL_28]], %[[VAL_29]], %[[VAL_19]] : index
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// CHECK: %[[VAL_31:.*]] = addi %[[VAL_20]], %[[VAL_6]] : index
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// CHECK: scf.yield %[[VAL_30]], %[[VAL_31]] : index, index
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// CHECK: }
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// CHECK: scf.for %[[VAL_32:.*]] = %[[VAL_33:.*]]#1 to %[[VAL_3]] step %[[VAL_6]] {
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// CHECK: %[[VAL_34:.*]] = memref.load %[[VAL_11]]{{\[}}%[[VAL_32]]] : memref<32xi64>
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// CHECK: %[[VAL_35:.*]] = subi %[[VAL_7]], %[[VAL_34]] : i64
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// CHECK: memref.store %[[VAL_35]], %[[VAL_12]]{{\[}}%[[VAL_32]]] : memref<32xi64>
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// CHECK: }
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// CHECK: %[[VAL_36:.*]] = memref.tensor_load %[[VAL_12]] : memref<32xi64>
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// CHECK: return %[[VAL_36]] : tensor<32xi64>
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// CHECK: }
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func @sub(%arga: tensor<32xi64, #SV>,
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%argb: tensor<32xi64>,
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%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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%0 = linalg.generic #trait2
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ins(%arga, %argb: tensor<32xi64, #SV>, tensor<32xi64>)
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outs(%argx: tensor<32xi64>) {
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^bb(%a: i64, %b: i64, %x: i64):
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%0 = subi %a, %b : i64
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linalg.yield %0 : i64
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} -> tensor<32xi64>
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return %0 : tensor<32xi64>
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}
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// CHECK-LABEL: func @mul(
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// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
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// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64>,
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// CHECK-SAME: %[[VAL_2:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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// CHECK: %[[VAL_3:.*]] = constant 0 : index
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// CHECK: %[[VAL_4:.*]] = constant 1 : index
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// CHECK: %[[VAL_5:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_6:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_7:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_8:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
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// CHECK: %[[VAL_9:.*]] = memref.buffer_cast %[[VAL_2]] : memref<32xi64>
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// CHECK: %[[VAL_10:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_3]]] : memref<?xindex>
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// CHECK: %[[VAL_11:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_4]]] : memref<?xindex>
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// CHECK: scf.for %[[VAL_12:.*]] = %[[VAL_10]] to %[[VAL_11]] step %[[VAL_4]] {
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// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_12]]] : memref<?xindex>
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// CHECK: %[[VAL_14:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_12]]] : memref<?xi64>
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// CHECK: %[[VAL_15:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_13]]] : memref<32xi64>
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// CHECK: %[[VAL_16:.*]] = muli %[[VAL_14]], %[[VAL_15]] : i64
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// CHECK: memref.store %[[VAL_16]], %[[VAL_9]]{{\[}}%[[VAL_13]]] : memref<32xi64>
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// CHECK: }
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// CHECK: %[[VAL_17:.*]] = memref.tensor_load %[[VAL_9]] : memref<32xi64>
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// CHECK: return %[[VAL_17]] : tensor<32xi64>
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// CHECK: }
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func @mul(%arga: tensor<32xi64, #SV>,
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%argb: tensor<32xi64>,
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%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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%0 = linalg.generic #trait2
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ins(%arga, %argb: tensor<32xi64, #SV>, tensor<32xi64>)
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outs(%argx: tensor<32xi64>) {
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^bb(%a: i64, %b: i64, %x: i64):
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%0 = muli %a, %b : i64
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linalg.yield %0 : i64
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} -> tensor<32xi64>
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return %0 : tensor<32xi64>
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}
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// CHECK-LABEL: func @divsbyc(
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// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
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// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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// CHECK: %[[VAL_2:.*]] = constant 2 : i64
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// CHECK: %[[VAL_3:.*]] = constant 0 : index
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// CHECK: %[[VAL_4:.*]] = constant 1 : index
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// CHECK: %[[VAL_5:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_6:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_7:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_8:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
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// CHECK: %[[VAL_9:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_3]]] : memref<?xindex>
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// CHECK: %[[VAL_10:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_4]]] : memref<?xindex>
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// CHECK: scf.for %[[VAL_11:.*]] = %[[VAL_9]] to %[[VAL_10]] step %[[VAL_4]] {
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// CHECK: %[[VAL_12:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_11]]] : memref<?xindex>
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// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_11]]] : memref<?xi64>
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// CHECK: %[[VAL_14:.*]] = divi_signed %[[VAL_13]], %[[VAL_2]] : i64
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// CHECK: memref.store %[[VAL_14]], %[[VAL_8]]{{\[}}%[[VAL_12]]] : memref<32xi64>
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// CHECK: }
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// CHECK: %[[VAL_15:.*]] = memref.tensor_load %[[VAL_8]] : memref<32xi64>
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// CHECK: return %[[VAL_15]] : tensor<32xi64>
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// CHECK: }
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func @divsbyc(%arga: tensor<32xi64, #SV>,
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%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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%c = constant 2 : i64
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%0 = linalg.generic #traitc
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ins(%arga: tensor<32xi64, #SV>)
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outs(%argx: tensor<32xi64>) {
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^bb(%a: i64, %x: i64):
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%0 = divi_signed %a, %c : i64
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linalg.yield %0 : i64
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} -> tensor<32xi64>
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return %0 : tensor<32xi64>
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}
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// CHECK-LABEL: func @divubyc(
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// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
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// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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// CHECK: %[[VAL_2:.*]] = constant 2 : i64
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// CHECK: %[[VAL_3:.*]] = constant 0 : index
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// CHECK: %[[VAL_4:.*]] = constant 1 : index
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// CHECK: %[[VAL_5:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{.*}}}>>
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// CHECK: %[[VAL_6:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_7:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>
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// CHECK: %[[VAL_8:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
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// CHECK: %[[VAL_9:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_3]]] : memref<?xindex>
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// CHECK: %[[VAL_10:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_4]]] : memref<?xindex>
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// CHECK: scf.for %[[VAL_11:.*]] = %[[VAL_9]] to %[[VAL_10]] step %[[VAL_4]] {
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// CHECK: %[[VAL_12:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_11]]] : memref<?xindex>
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// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_11]]] : memref<?xi64>
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// CHECK: %[[VAL_14:.*]] = divi_unsigned %[[VAL_13]], %[[VAL_2]] : i64
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// CHECK: memref.store %[[VAL_14]], %[[VAL_8]]{{\[}}%[[VAL_12]]] : memref<32xi64>
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// CHECK: }
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// CHECK: %[[VAL_15:.*]] = memref.tensor_load %[[VAL_8]] : memref<32xi64>
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// CHECK: return %[[VAL_15]] : tensor<32xi64>
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// CHECK: }
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func @divubyc(%arga: tensor<32xi64, #SV>,
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%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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%c = constant 2 : i64
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%0 = linalg.generic #traitc
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ins(%arga: tensor<32xi64, #SV>)
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outs(%argx: tensor<32xi64>) {
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^bb(%a: i64, %x: i64):
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%0 = divi_unsigned %a, %c : i64
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linalg.yield %0 : i64
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} -> tensor<32xi64>
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return %0 : tensor<32xi64>
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}
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// CHECK-LABEL: func @and(
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// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
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// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64>,
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// CHECK-SAME: %[[VAL_2:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
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// CHECK: %[[VAL_3:.*]] = constant 0 : index
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// CHECK: %[[VAL_4:.*]] = constant 1 : index
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// CHECK: %[[VAL_5:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex>
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// CHECK: %[[VAL_6:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_3]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex>
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// CHECK: %[[VAL_7:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xi64>
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// CHECK: %[[VAL_8:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
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// CHECK: %[[VAL_9:.*]] = memref.buffer_cast %[[VAL_2]] : memref<32xi64>
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// CHECK: %[[VAL_10:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_3]]] : memref<?xindex>
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// CHECK: %[[VAL_11:.*]] = memref.load %[[VAL_5]]{{\[}}%[[VAL_4]]] : memref<?xindex>
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|
// CHECK: scf.for %[[VAL_12:.*]] = %[[VAL_10]] to %[[VAL_11]] step %[[VAL_4]] {
|
|
// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_6]]{{\[}}%[[VAL_12]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_14:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_12]]] : memref<?xi64>
|
|
// CHECK: %[[VAL_15:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_13]]] : memref<32xi64>
|
|
// CHECK: %[[VAL_16:.*]] = and %[[VAL_14]], %[[VAL_15]] : i64
|
|
// CHECK: memref.store %[[VAL_16]], %[[VAL_9]]{{\[}}%[[VAL_13]]] : memref<32xi64>
|
|
// CHECK: }
|
|
// CHECK: %[[VAL_17:.*]] = memref.tensor_load %[[VAL_9]] : memref<32xi64>
|
|
// CHECK: return %[[VAL_17]] : tensor<32xi64>
|
|
// CHECK: }
|
|
func @and(%arga: tensor<32xi64, #SV>,
|
|
%argb: tensor<32xi64>,
|
|
%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
|
|
%0 = linalg.generic #trait2
|
|
ins(%arga, %argb: tensor<32xi64, #SV>, tensor<32xi64>)
|
|
outs(%argx: tensor<32xi64>) {
|
|
^bb(%a: i64, %b: i64, %x: i64):
|
|
%0 = and %a, %b : i64
|
|
linalg.yield %0 : i64
|
|
} -> tensor<32xi64>
|
|
return %0 : tensor<32xi64>
|
|
}
|
|
|
|
// CHECK-LABEL: func @or(
|
|
// CHECK-SAME: %[[VAL_0:.*]]: tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>>,
|
|
// CHECK-SAME: %[[VAL_1:.*]]: tensor<32xi64>,
|
|
// CHECK-SAME: %[[VAL_2:.*]]: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
|
|
// CHECK: %[[VAL_3:.*]] = constant 32 : index
|
|
// CHECK: %[[VAL_4:.*]] = constant 0 : index
|
|
// CHECK: %[[VAL_5:.*]] = constant true
|
|
// CHECK: %[[VAL_6:.*]] = constant 1 : index
|
|
// CHECK: %[[VAL_7:.*]] = sparse_tensor.pointers %[[VAL_0]], %[[VAL_4]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex>
|
|
// CHECK: %[[VAL_8:.*]] = sparse_tensor.indices %[[VAL_0]], %[[VAL_4]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xindex>
|
|
// CHECK: %[[VAL_9:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<32xi64, #sparse_tensor.encoding<{{{.*}}}>> to memref<?xi64>
|
|
// CHECK: %[[VAL_10:.*]] = memref.buffer_cast %[[VAL_1]] : memref<32xi64>
|
|
// CHECK: %[[VAL_11:.*]] = memref.buffer_cast %[[VAL_2]] : memref<32xi64>
|
|
// CHECK: %[[VAL_12:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_4]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_7]]{{\[}}%[[VAL_6]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_14:.*]]:2 = scf.while (%[[VAL_15:.*]] = %[[VAL_12]], %[[VAL_16:.*]] = %[[VAL_4]]) : (index, index) -> (index, index) {
|
|
// CHECK: %[[VAL_17:.*]] = cmpi ult, %[[VAL_15]], %[[VAL_13]] : index
|
|
// CHECK: scf.condition(%[[VAL_17]]) %[[VAL_15]], %[[VAL_16]] : index, index
|
|
// CHECK: } do {
|
|
// CHECK: ^bb0(%[[VAL_18:.*]]: index, %[[VAL_19:.*]]: index):
|
|
// CHECK: %[[VAL_20:.*]] = memref.load %[[VAL_8]]{{\[}}%[[VAL_18]]] : memref<?xindex>
|
|
// CHECK: %[[VAL_21:.*]] = cmpi eq, %[[VAL_20]], %[[VAL_19]] : index
|
|
// CHECK: scf.if %[[VAL_21]] {
|
|
// CHECK: %[[VAL_22:.*]] = memref.load %[[VAL_9]]{{\[}}%[[VAL_18]]] : memref<?xi64>
|
|
// CHECK: %[[VAL_23:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_19]]] : memref<32xi64>
|
|
// CHECK: %[[VAL_24:.*]] = or %[[VAL_22]], %[[VAL_23]] : i64
|
|
// CHECK: memref.store %[[VAL_24]], %[[VAL_11]]{{\[}}%[[VAL_19]]] : memref<32xi64>
|
|
// CHECK: } else {
|
|
// CHECK: scf.if %[[VAL_5]] {
|
|
// CHECK: %[[VAL_25:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_19]]] : memref<32xi64>
|
|
// CHECK: memref.store %[[VAL_25]], %[[VAL_11]]{{\[}}%[[VAL_19]]] : memref<32xi64>
|
|
// CHECK: } else {
|
|
// CHECK: }
|
|
// CHECK: }
|
|
// CHECK: %[[VAL_26:.*]] = cmpi eq, %[[VAL_20]], %[[VAL_19]] : index
|
|
// CHECK: %[[VAL_27:.*]] = addi %[[VAL_18]], %[[VAL_6]] : index
|
|
// CHECK: %[[VAL_28:.*]] = select %[[VAL_26]], %[[VAL_27]], %[[VAL_18]] : index
|
|
// CHECK: %[[VAL_29:.*]] = addi %[[VAL_19]], %[[VAL_6]] : index
|
|
// CHECK: scf.yield %[[VAL_28]], %[[VAL_29]] : index, index
|
|
// CHECK: }
|
|
// CHECK: scf.for %[[VAL_30:.*]] = %[[VAL_31:.*]]#1 to %[[VAL_3]] step %[[VAL_6]] {
|
|
// CHECK: %[[VAL_32:.*]] = memref.load %[[VAL_10]]{{\[}}%[[VAL_30]]] : memref<32xi64>
|
|
// CHECK: memref.store %[[VAL_32]], %[[VAL_11]]{{\[}}%[[VAL_30]]] : memref<32xi64>
|
|
// CHECK: }
|
|
// CHECK: %[[VAL_33:.*]] = memref.tensor_load %[[VAL_11]] : memref<32xi64>
|
|
// CHECK: return %[[VAL_33]] : tensor<32xi64>
|
|
// CHECK: }
|
|
func @or(%arga: tensor<32xi64, #SV>,
|
|
%argb: tensor<32xi64>,
|
|
%argx: tensor<32xi64> {linalg.inplaceable = true}) -> tensor<32xi64> {
|
|
%0 = linalg.generic #trait2
|
|
ins(%arga, %argb: tensor<32xi64, #SV>, tensor<32xi64>)
|
|
outs(%argx: tensor<32xi64>) {
|
|
^bb(%a: i64, %b: i64, %x: i64):
|
|
%0 = or %a, %b : i64
|
|
linalg.yield %0 : i64
|
|
} -> tensor<32xi64>
|
|
return %0 : tensor<32xi64>
|
|
}
|
|
|