1// RUN: mlir-opt %s --sparse-tensor-codegen --cse | FileCheck %s 2 3#CSR = #sparse_tensor.encoding<{ 4 map = (d0, d1) -> (d0 : dense, d1 : compressed) 5}> 6 7#CSR_SLICE = #sparse_tensor.encoding<{ 8 map = (d0 : #sparse_tensor<slice(0, 4, 1)>, d1 : #sparse_tensor<slice(0, 8, 1)>) -> (d0 : dense, d1 : compressed) 9}> 10 11// CHECK-LABEL: func.func @sparse_slice( 12// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>, 13// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>, 14// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf64>, 15// CHECK-SAME: %[[VAL_3:.*3]]: !sparse_tensor.storage_specifier<#sparse{{[0-9]*}}>) 16// CHECK: %[[VAL_4:.*]] = sparse_tensor.storage_specifier.init with %[[VAL_3]] 17// CHECK: %[[VAL_5:.*]] = arith.constant 0 : index 18// CHECK: %[[VAL_6:.*]] = arith.constant 4 : index 19// CHECK: %[[VAL_7:.*]] = arith.constant 1 : index 20// CHECK: %[[VAL_8:.*]] = sparse_tensor.storage_specifier.set %[[VAL_4]] dim_offset at 0 with %[[VAL_5]] 21// CHECK: %[[VAL_9:.*]] = sparse_tensor.storage_specifier.set %[[VAL_8]] lvl_sz at 0 with %[[VAL_6]] 22// CHECK: %[[VAL_10:.*]] = sparse_tensor.storage_specifier.set %[[VAL_9]] dim_stride at 0 with %[[VAL_7]] 23// CHECK: %[[VAL_11:.*]] = arith.constant 8 : index 24// CHECK: %[[VAL_12:.*]] = sparse_tensor.storage_specifier.set %[[VAL_10]] dim_offset at 1 with %[[VAL_5]] 25// CHECK: %[[VAL_13:.*]] = sparse_tensor.storage_specifier.set %[[VAL_12]] lvl_sz at 1 with %[[VAL_11]] 26// CHECK: %[[VAL_14:.*]] = sparse_tensor.storage_specifier.set %[[VAL_13]] dim_stride at 1 with %[[VAL_7]] 27// CHECK: return %[[VAL_0]], %[[VAL_1]], %[[VAL_2]], %[[VAL_14]] 28func.func @sparse_slice(%t1 : tensor<8x8xf64, #CSR>) -> tensor<4x8xf64, #CSR_SLICE> { 29 %a1 = tensor.extract_slice %t1[0, 0][4, 8][1, 1] : tensor<8x8xf64, #CSR> to 30 tensor<4x8xf64, #CSR_SLICE> 31 return %a1 : tensor<4x8xf64, #CSR_SLICE> 32} 33