Example:
#CSR = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : dense, d1 : compressed),
}>
// CHECK: #[[$CSR.*]] = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0
: dense, d1 : compressed) }>
// CHECK-LABEL: func private @sparse_csr(
// CHECK-SAME: tensor<?x?xf32, **#[[$CSR]]**>)
func.func private @sparse_csr(tensor<?x?xf32, #CSR>)
33 lines
2.0 KiB
MLIR
33 lines
2.0 KiB
MLIR
// RUN: mlir-opt %s --sparse-tensor-codegen --cse | FileCheck %s
|
|
|
|
#CSR = #sparse_tensor.encoding<{
|
|
map = (d0, d1) -> (d0 : dense, d1 : compressed)
|
|
}>
|
|
|
|
#CSR_SLICE = #sparse_tensor.encoding<{
|
|
map = (d0 : #sparse_tensor<slice(0, 4, 1)>, d1 : #sparse_tensor<slice(0, 8, 1)>) -> (d0 : dense, d1 : compressed)
|
|
}>
|
|
|
|
// CHECK-LABEL: func.func @sparse_slice(
|
|
// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>,
|
|
// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>,
|
|
// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf64>,
|
|
// CHECK-SAME: %[[VAL_3:.*3]]: !sparse_tensor.storage_specifier<#sparse{{[0-9]*}}>)
|
|
// CHECK: %[[VAL_4:.*]] = sparse_tensor.storage_specifier.init with %[[VAL_3]]
|
|
// CHECK: %[[VAL_5:.*]] = arith.constant 0 : index
|
|
// CHECK: %[[VAL_6:.*]] = arith.constant 4 : index
|
|
// CHECK: %[[VAL_7:.*]] = arith.constant 1 : index
|
|
// CHECK: %[[VAL_8:.*]] = sparse_tensor.storage_specifier.set %[[VAL_4]] dim_offset at 0 with %[[VAL_5]]
|
|
// CHECK: %[[VAL_9:.*]] = sparse_tensor.storage_specifier.set %[[VAL_8]] lvl_sz at 0 with %[[VAL_6]]
|
|
// CHECK: %[[VAL_10:.*]] = sparse_tensor.storage_specifier.set %[[VAL_9]] dim_stride at 0 with %[[VAL_7]]
|
|
// CHECK: %[[VAL_11:.*]] = arith.constant 8 : index
|
|
// CHECK: %[[VAL_12:.*]] = sparse_tensor.storage_specifier.set %[[VAL_10]] dim_offset at 1 with %[[VAL_5]]
|
|
// CHECK: %[[VAL_13:.*]] = sparse_tensor.storage_specifier.set %[[VAL_12]] lvl_sz at 1 with %[[VAL_11]]
|
|
// CHECK: %[[VAL_14:.*]] = sparse_tensor.storage_specifier.set %[[VAL_13]] dim_stride at 1 with %[[VAL_7]]
|
|
// CHECK: return %[[VAL_0]], %[[VAL_1]], %[[VAL_2]], %[[VAL_14]]
|
|
func.func @sparse_slice(%t1 : tensor<8x8xf64, #CSR>) -> tensor<4x8xf64, #CSR_SLICE> {
|
|
%a1 = tensor.extract_slice %t1[0, 0][4, 8][1, 1] : tensor<8x8xf64, #CSR> to
|
|
tensor<4x8xf64, #CSR_SLICE>
|
|
return %a1 : tensor<4x8xf64, #CSR_SLICE>
|
|
}
|