derek.holloway
7502bf64a4
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91 lines
3.5 KiB
MLIR
91 lines
3.5 KiB
MLIR
// RUN: mlir-opt %s --stage-sparse-ops --lower-sparse-ops-to-foreach --canonicalize --cse | FileCheck %s
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#SparseVector = #sparse_tensor.encoding<{
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map = (d0) -> (d0 : compressed)
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}>
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#SparseMatrix = #sparse_tensor.encoding<{
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map = (d0, d1) -> (d0 : dense, d1 : compressed)
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}>
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#SparseTensor = #sparse_tensor.encoding<{
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map = (d0, d1, d2) -> (d2 : dense, d0 : compressed, d1 : compressed)
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}>
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// CHECK-LABEL: func.func @sparse_convert_1d
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_1d(%arg0: tensor<13xi32, #SparseVector>) -> tensor<13xi32> {
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%0 = sparse_tensor.convert %arg0 : tensor<13xi32, #SparseVector> to tensor<13xi32>
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return %0 : tensor<13xi32>
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}
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// CHECK-LABEL: func.func @sparse_convert_1d_dyn
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_1d_dyn(%arg0: tensor<?xi32, #SparseVector>) -> tensor<?xi32> {
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%0 = sparse_tensor.convert %arg0 : tensor<?xi32, #SparseVector> to tensor<?xi32>
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return %0 : tensor<?xi32>
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}
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// CHECK-LABEL: func.func @sparse_convert_2d
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_2d(%arg0: tensor<2x4xf64, #SparseMatrix>) -> tensor<2x4xf64> {
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%0 = sparse_tensor.convert %arg0 : tensor<2x4xf64, #SparseMatrix> to tensor<2x4xf64>
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return %0 : tensor<2x4xf64>
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}
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// CHECK-LABEL: func.func @sparse_convert_2d_dyn
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_2d_dyn0(%arg0: tensor<?x4xf64, #SparseMatrix>) -> tensor<?x4xf64> {
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%0 = sparse_tensor.convert %arg0 : tensor<?x4xf64, #SparseMatrix> to tensor<?x4xf64>
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return %0 : tensor<?x4xf64>
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}
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// CHECK-LABEL: func.func @sparse_convert_2d_dyn1
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_2d_dyn1(%arg0: tensor<2x?xf64, #SparseMatrix>) -> tensor<2x?xf64> {
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%0 = sparse_tensor.convert %arg0 : tensor<2x?xf64, #SparseMatrix> to tensor<2x?xf64>
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return %0 : tensor<2x?xf64>
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}
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// CHECK-LABEL: func.func @sparse_convert_2d_dyn2
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_2d_dyn2(%arg0: tensor<?x?xf64, #SparseMatrix>) -> tensor<?x?xf64> {
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%0 = sparse_tensor.convert %arg0 : tensor<?x?xf64, #SparseMatrix> to tensor<?x?xf64>
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return %0 : tensor<?x?xf64>
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}
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// CHECK-LABEL: func.func @sparse_convert_3d
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// CHECK-NOT: sparse_tensor.reorder_coo
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// CHECK: bufferization.alloc_tensor
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// CHECK: linalg.fill
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// CHECK: sparse_tensor.foreach
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// CHECK: tensor.insert
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func.func @sparse_convert_3d(%arg0: tensor<2x3x4xf64, #SparseTensor>) -> tensor<2x3x4xf64> {
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%0 = sparse_tensor.convert %arg0 : tensor<2x3x4xf64, #SparseTensor> to tensor<2x3x4xf64>
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return %0 : tensor<2x3x4xf64>
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}
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