17b86f7c5SPeiming Liu// RUN: mlir-opt %s --sparse-tensor-codegen --canonicalize --cse | FileCheck %s 27b86f7c5SPeiming Liu 3e2e429d9SYinying Li#CSR = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed)}> 4*3dc62112SYinying Li#COO = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton)}> 57b86f7c5SPeiming Liu 67b86f7c5SPeiming Liu// CHECK-LABEL: func.func @sparse_alloc_copy_CSR( 77b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>, 87b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>, 97b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf32>, 107b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_3:.*]]: !sparse_tensor.storage_specifier<#{{.*}}>) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#{{.*}}>) { 117b86f7c5SPeiming Liu// CHECK: %[[VAL_4:.*]] = arith.constant 0 : index 127b86f7c5SPeiming Liu// CHECK: %[[VAL_5:.*]] = memref.dim %[[VAL_0]], %[[VAL_4]] : memref<?xindex> 137b86f7c5SPeiming Liu// CHECK: %[[VAL_6:.*]] = memref.alloc(%[[VAL_5]]) : memref<?xindex> 147b86f7c5SPeiming Liu// CHECK: memref.copy %[[VAL_0]], %[[VAL_6]] : memref<?xindex> to memref<?xindex> 157b86f7c5SPeiming Liu// CHECK: %[[VAL_7:.*]] = memref.dim %[[VAL_1]], %[[VAL_4]] : memref<?xindex> 167b86f7c5SPeiming Liu// CHECK: %[[VAL_8:.*]] = memref.alloc(%[[VAL_7]]) : memref<?xindex> 177b86f7c5SPeiming Liu// CHECK: memref.copy %[[VAL_1]], %[[VAL_8]] : memref<?xindex> to memref<?xindex> 187b86f7c5SPeiming Liu// CHECK: %[[VAL_9:.*]] = memref.dim %[[VAL_2]], %[[VAL_4]] : memref<?xf32> 197b86f7c5SPeiming Liu// CHECK: %[[VAL_10:.*]] = memref.alloc(%[[VAL_9]]) : memref<?xf32> 207b86f7c5SPeiming Liu// CHECK: memref.copy %[[VAL_2]], %[[VAL_10]] : memref<?xf32> to memref<?xf32> 217b86f7c5SPeiming Liufunc.func @sparse_alloc_copy_CSR(%arg0: tensor<2x2xf32, #CSR>) -> tensor<2x2xf32, #CSR> { 227b86f7c5SPeiming Liu %0 = bufferization.alloc_tensor() copy(%arg0) : tensor<2x2xf32, #CSR> 237b86f7c5SPeiming Liu "test.sink"(%0) : (tensor<2x2xf32, #CSR>) -> () 247b86f7c5SPeiming Liu} 257b86f7c5SPeiming Liu 267b86f7c5SPeiming Liu// CHECK-LABEL: func.func @sparse_alloc_copy_COO( 277b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xindex>, 287b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xindex>, 297b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf32>, 307b86f7c5SPeiming Liu// CHECK-SAME: %[[VAL_3:.*]]: !sparse_tensor.storage_specifier<#{{.*}}>) -> (memref<?xindex>, memref<?xindex>, memref<?xf32>, !sparse_tensor.storage_specifier<#{{.*}}>) { 317b86f7c5SPeiming Liu// CHECK: %[[VAL_4:.*]] = arith.constant 0 : index 327b86f7c5SPeiming Liu// CHECK: %[[VAL_5:.*]] = memref.dim %[[VAL_0]], %[[VAL_4]] : memref<?xindex> 337b86f7c5SPeiming Liu// CHECK: %[[VAL_6:.*]] = memref.alloc(%[[VAL_5]]) : memref<?xindex> 347b86f7c5SPeiming Liu// CHECK: memref.copy %[[VAL_0]], %[[VAL_6]] : memref<?xindex> to memref<?xindex> 357b86f7c5SPeiming Liu// CHECK: %[[VAL_7:.*]] = memref.dim %[[VAL_1]], %[[VAL_4]] : memref<?xindex> 367b86f7c5SPeiming Liu// CHECK: %[[VAL_8:.*]] = memref.alloc(%[[VAL_7]]) : memref<?xindex> 377b86f7c5SPeiming Liu// CHECK: memref.copy %[[VAL_1]], %[[VAL_8]] : memref<?xindex> to memref<?xindex> 387b86f7c5SPeiming Liu// CHECK: %[[VAL_9:.*]] = memref.dim %[[VAL_2]], %[[VAL_4]] : memref<?xf32> 397b86f7c5SPeiming Liu// CHECK: %[[VAL_10:.*]] = memref.alloc(%[[VAL_9]]) : memref<?xf32> 407b86f7c5SPeiming Liu// CHECK: memref.copy %[[VAL_2]], %[[VAL_10]] : memref<?xf32> to memref<?xf32> 417b86f7c5SPeiming Liufunc.func @sparse_alloc_copy_COO(%arg0: tensor<2x2xf32, #COO>) -> tensor<2x2xf32, #COO> { 427b86f7c5SPeiming Liu %0 = bufferization.alloc_tensor() copy(%arg0) : tensor<2x2xf32, #COO> 437b86f7c5SPeiming Liu "test.sink"(%0) : (tensor<2x2xf32, #COO>) -> () 447b86f7c5SPeiming Liu} 45