e000b62a34
These patterns touches the structure generated from tiling so it affects later steps like bufferization and vector hoisting. Instead of putting them in canonicalization, this commit creates separate entry points for them to be called explicitly. This is NFC regarding the functionality and tests of those patterns. It also addresses two TODO items in the codebase. Reviewed By: ThomasRaoux Differential Revision: https://reviews.llvm.org/D150702
110 lines
5.9 KiB
MLIR
110 lines
5.9 KiB
MLIR
// RUN: mlir-opt -split-input-file -test-vector-transfer-tensor-slice-patterns %s | FileCheck %s
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// CHECK-LABEL: func @transfer_read_of_extract_slice(
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// CHECK-SAME: %[[t:.*]]: tensor<?x?xf32>, %[[s1:.*]]: index, %[[s2:.*]]: index
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// CHECK-DAG: %[[c4:.*]] = arith.constant 4 : index
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// CHECK-DAG: %[[c8:.*]] = arith.constant 8 : index
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// CHECK: %[[add:.*]] = arith.addi %[[s1]], %[[c4]]
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// CHECK: %[[r:.*]] = vector.transfer_read %[[t]][%[[c8]], %[[add]]], %{{.*}} {in_bounds = [true, true]} : tensor<?x?xf32>, vector<5x6xf32>
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// CHECK: return %[[r]]
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func.func @transfer_read_of_extract_slice(%t : tensor<?x?xf32>, %s1 : index, %s2 : index) -> vector<5x6xf32> {
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%c3 = arith.constant 3 : index
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%c4 = arith.constant 4 : index
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%cst = arith.constant 0.0 : f32
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%0 = tensor.extract_slice %t[5, %s1] [10, %s2] [1, 1] : tensor<?x?xf32> to tensor<10x?xf32>
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%1 = vector.transfer_read %0[%c3, %c4], %cst {in_bounds = [true, true]} : tensor<10x?xf32>, vector<5x6xf32>
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return %1 : vector<5x6xf32>
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}
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// -----
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// CHECK-LABEL: func @transfer_read_of_extract_slice(
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// CHECK-SAME: %[[t:.*]]: tensor<?x?xf32>, %[[s1:.*]]: index, %[[s2:.*]]: index
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// CHECK-DAG: %[[c4:.*]] = arith.constant 4 : index
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// CHECK-DAG: %[[c8:.*]] = arith.constant 8 : index
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// CHECK: %[[add:.*]] = arith.addi %[[s1]], %[[c4]]
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// CHECK: %[[r:.*]] = vector.transfer_read %[[t]][%[[c8]], %[[add]]], %{{.*}} {in_bounds = [true]} : tensor<?x?xf32>, vector<6xf32>
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// CHECK: return %[[r]]
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func.func @transfer_read_of_extract_slice(%t : tensor<?x?xf32>, %s1 : index, %s2 : index) -> vector<6xf32> {
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%c3 = arith.constant 3 : index
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%c4 = arith.constant 4 : index
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%cst = arith.constant 0.0 : f32
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%0 = tensor.extract_slice %t[5, %s1] [10, %s2] [1, 1] : tensor<?x?xf32> to tensor<10x?xf32>
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%1 = vector.transfer_read %0[%c3, %c4], %cst {in_bounds = [true]} : tensor<10x?xf32>, vector<6xf32>
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return %1 : vector<6xf32>
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}
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// -----
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// CHECK-LABEL: func @transfer_read_of_extract_slice_rank_reducing(
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// CHECK-SAME: %[[t:.*]]: tensor<?x?x?xf32>, %[[s1:.*]]: index, %[[s2:.*]]: index
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// CHECK-DAG: %[[c3:.*]] = arith.constant 3 : index
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// CHECK-DAG: %[[c5:.*]] = arith.constant 5 : index
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// CHECK-DAG: %[[c10:.*]] = arith.constant 10 : index
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// CHECK: %[[add:.*]] = arith.addi %[[s1]], %[[c3]]
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// CHECK: %[[r:.*]] = vector.transfer_read %[[t]][%[[c5]], %[[add]], %[[c10]]], %{{.*}} {in_bounds = [true, true]} : tensor<?x?x?xf32>, vector<5x6xf32>
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// CHECK: return %[[r]]
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func.func @transfer_read_of_extract_slice_rank_reducing(%t : tensor<?x?x?xf32>, %s1 : index, %s2 : index) -> vector<5x6xf32> {
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%c3 = arith.constant 3 : index
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%c4 = arith.constant 4 : index
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%cst = arith.constant 0.0 : f32
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%0 = tensor.extract_slice %t[5, %s1, 6] [1, %s2, 12] [1, 1, 1] : tensor<?x?x?xf32> to tensor<?x12xf32>
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%1 = vector.transfer_read %0[%c3, %c4], %cst {in_bounds = [true, true]} : tensor<?x12xf32>, vector<5x6xf32>
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return %1 : vector<5x6xf32>
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}
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// -----
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// CHECK-LABEL: func @transfer_read_of_extract_slice_illegal_rank_reducing(
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// CHECK: extract_slice
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// CHECK: vector.transfer_read
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func.func @transfer_read_of_extract_slice_illegal_rank_reducing(%t : tensor<?x?x?xf32>, %s1 : index, %s2 : index) -> vector<5x6xf32> {
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%c3 = arith.constant 3 : index
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%c4 = arith.constant 4 : index
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%cst = arith.constant 0.0 : f32
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%0 = tensor.extract_slice %t[5, %s1, 6] [%s2, 1, 12] [1, 1, 1] : tensor<?x?x?xf32> to tensor<?x12xf32>
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%1 = vector.transfer_read %0[%c3, %c4], %cst {in_bounds = [true, true]} : tensor<?x12xf32>, vector<5x6xf32>
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return %1 : vector<5x6xf32>
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}
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// -----
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// CHECK-LABEL: func @insert_slice_of_transfer_write(
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// CHECK-SAME: %[[t1:.*]]: tensor<?x12xf32>, %[[v:.*]]: vector<5x6xf32>, %[[s:.*]]: index
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// CHECK: %[[c3:.*]] = arith.constant 3 : index
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// CHECK: %[[r:.*]] = vector.transfer_write %[[v]], %[[t1]][%[[c3]], %[[s]]] {in_bounds = [true, true]} : vector<5x6xf32>, tensor<?x12xf32>
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// CHECK: return %[[r]]
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func.func @insert_slice_of_transfer_write(%t1 : tensor<?x12xf32>, %v : vector<5x6xf32>, %s : index, %t2 : tensor<5x6xf32>) -> tensor<?x12xf32> {
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%c0 = arith.constant 0 : index
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%0 = vector.transfer_write %v, %t2[%c0, %c0] {in_bounds = [true, true]} : vector<5x6xf32>, tensor<5x6xf32>
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%1 = tensor.insert_slice %0 into %t1[3, %s] [5, 6] [1, 1] : tensor<5x6xf32> into tensor<?x12xf32>
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return %1 : tensor<?x12xf32>
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}
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// -----
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// CHECK-LABEL: func @insert_slice_of_transfer_write_illegal_rank_extending(
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// CHECK: vector.transfer_write
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// CHECK: insert_slice
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func.func @insert_slice_of_transfer_write_illegal_rank_extending(%t1 : tensor<?x?x12xf32>, %v : vector<5x6xf32>, %s : index, %t2 : tensor<5x6xf32>) -> tensor<?x?x12xf32> {
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%c0 = arith.constant 0 : index
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%0 = vector.transfer_write %v, %t2[%c0, %c0] {in_bounds = [true, true]} : vector<5x6xf32>, tensor<5x6xf32>
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%1 = tensor.insert_slice %0 into %t1[4, 3, %s] [5, 1, 6] [1, 1, 1] : tensor<5x6xf32> into tensor<?x?x12xf32>
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return %1 : tensor<?x?x12xf32>
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}
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// -----
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// CHECK-LABEL: func @insert_slice_of_transfer_write_rank_extending(
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// CHECK-SAME: %[[t1:.*]]: tensor<?x?x12xf32>, %[[v:.*]]: vector<5x6xf32>, %[[s:.*]]: index
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// CHECK-DAG: %[[c3:.*]] = arith.constant 3 : index
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// CHECK-DAG: %[[c4:.*]] = arith.constant 4 : index
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// CHECK: %[[r:.*]] = vector.transfer_write %[[v]], %[[t1]][%[[c4]], %[[c3]], %[[s]]] {in_bounds = [true, true]} : vector<5x6xf32>, tensor<?x?x12xf32>
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// CHECK: return %[[r]]
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func.func @insert_slice_of_transfer_write_rank_extending(%t1 : tensor<?x?x12xf32>, %v : vector<5x6xf32>, %s : index, %t2 : tensor<5x6xf32>) -> tensor<?x?x12xf32> {
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%c0 = arith.constant 0 : index
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%0 = vector.transfer_write %v, %t2[%c0, %c0] {in_bounds = [true, true]} : vector<5x6xf32>, tensor<5x6xf32>
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%1 = tensor.insert_slice %0 into %t1[4, 3, %s] [1, 5, 6] [1, 1, 1] : tensor<5x6xf32> into tensor<?x?x12xf32>
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return %1 : tensor<?x?x12xf32>
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}
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