185dbb3fcSPeiming Liu// RUN: mlir-opt %s --sparse-tensor-codegen --canonicalize --cse | FileCheck %s 285dbb3fcSPeiming Liu 385dbb3fcSPeiming Liu#SparseVector64 = #sparse_tensor.encoding<{ 4*dbe1be9aSYinying Li map = (d0) -> (d0 : compressed), 584cd51bbSwren romano posWidth = 64, 684cd51bbSwren romano crdWidth = 64 785dbb3fcSPeiming Liu}> 885dbb3fcSPeiming Liu 985dbb3fcSPeiming Liu#SparseVector32 = #sparse_tensor.encoding<{ 10*dbe1be9aSYinying Li map = (d0) -> (d0 : compressed), 1184cd51bbSwren romano posWidth = 32, 1284cd51bbSwren romano crdWidth = 32 1385dbb3fcSPeiming Liu}> 1485dbb3fcSPeiming Liu 1585dbb3fcSPeiming Liu 1685dbb3fcSPeiming Liu// CHECK-LABEL: func.func @sparse_convert( 1785dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xi64>, 1885dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xi64>, 1985dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf32>, 2085dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_3:.*3]]: !sparse_tensor.storage_specifier 2185dbb3fcSPeiming Liu// CHECK: %[[VAL_4:.*]] = arith.constant 1 : index 2285dbb3fcSPeiming Liu// CHECK: %[[VAL_5:.*]] = arith.constant 0 : index 2385dbb3fcSPeiming Liu// CHECK: %[[VAL_6:.*]] = memref.dim %[[VAL_0]], %[[VAL_5]] : memref<?xi64> 2485dbb3fcSPeiming Liu// CHECK: %[[VAL_7:.*]] = memref.alloc(%[[VAL_6]]) : memref<?xi32> 2585dbb3fcSPeiming Liu// CHECK: scf.for %[[VAL_8:.*]] = %[[VAL_5]] to %[[VAL_6]] step %[[VAL_4]] { 2685dbb3fcSPeiming Liu// CHECK: %[[VAL_9:.*]] = memref.load %[[VAL_0]]{{\[}}%[[VAL_8]]] : memref<?xi64> 2785dbb3fcSPeiming Liu// CHECK: %[[VAL_10:.*]] = arith.trunci %[[VAL_9]] : i64 to i32 2885dbb3fcSPeiming Liu// CHECK: memref.store %[[VAL_10]], %[[VAL_7]]{{\[}}%[[VAL_8]]] : memref<?xi32> 2985dbb3fcSPeiming Liu// CHECK: } 3085dbb3fcSPeiming Liu// CHECK: %[[VAL_11:.*]] = memref.dim %[[VAL_1]], %[[VAL_5]] : memref<?xi64> 3185dbb3fcSPeiming Liu// CHECK: %[[VAL_12:.*]] = memref.alloc(%[[VAL_11]]) : memref<?xi32> 3285dbb3fcSPeiming Liu// CHECK: scf.for %[[VAL_13:.*]] = %[[VAL_5]] to %[[VAL_11]] step %[[VAL_4]] { 3385dbb3fcSPeiming Liu// CHECK: %[[VAL_14:.*]] = memref.load %[[VAL_1]]{{\[}}%[[VAL_13]]] : memref<?xi64> 3485dbb3fcSPeiming Liu// CHECK: %[[VAL_15:.*]] = arith.trunci %[[VAL_14]] : i64 to i32 3585dbb3fcSPeiming Liu// CHECK: memref.store %[[VAL_15]], %[[VAL_12]]{{\[}}%[[VAL_13]]] : memref<?xi32> 3685dbb3fcSPeiming Liu// CHECK: } 3785dbb3fcSPeiming Liu// CHECK: %[[VAL_16:.*]] = memref.dim %[[VAL_2]], %[[VAL_5]] : memref<?xf32> 3885dbb3fcSPeiming Liu// CHECK: %[[VAL_17:.*]] = memref.alloc(%[[VAL_16]]) : memref<?xf32> 3985dbb3fcSPeiming Liu// CHECK: memref.copy %[[VAL_2]], %[[VAL_17]] : memref<?xf32> to memref<?xf32> 4085dbb3fcSPeiming Liu// CHECK: return %[[VAL_7]], %[[VAL_12]], %[[VAL_17]], %[[VAL_3]] : memref<?xi32>, memref<?xi32>, memref<?xf32>, !sparse_tensor.storage_specifier 4185dbb3fcSPeiming Liu// CHECK: } 4285dbb3fcSPeiming Liufunc.func @sparse_convert(%arg0: tensor<?xf32, #SparseVector64>) -> tensor<?xf32, #SparseVector32> { 4385dbb3fcSPeiming Liu %0 = sparse_tensor.convert %arg0 : tensor<?xf32, #SparseVector64> to tensor<?xf32, #SparseVector32> 4485dbb3fcSPeiming Liu return %0 : tensor<?xf32, #SparseVector32> 4585dbb3fcSPeiming Liu} 4685dbb3fcSPeiming Liu 4785dbb3fcSPeiming Liu// CHECK-LABEL: func.func @sparse_convert_value( 4885dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_0:.*0]]: memref<?xi32>, 4985dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_1:.*1]]: memref<?xi32>, 5085dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_2:.*2]]: memref<?xf32>, 5185dbb3fcSPeiming Liu// CHECK-SAME: %[[VAL_3:.*]]: !sparse_tensor.storage_specifier 5285dbb3fcSPeiming Liu// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 1 : index 5385dbb3fcSPeiming Liu// CHECK-DAG: %[[VAL_5:.*]] = arith.constant 0 : index 5485dbb3fcSPeiming Liu// CHECK: %[[VAL_6:.*]] = memref.dim %[[VAL_0]], %[[VAL_5]] : memref<?xi32> 5585dbb3fcSPeiming Liu// CHECK: %[[VAL_7:.*]] = memref.alloc(%[[VAL_6]]) : memref<?xi32> 5685dbb3fcSPeiming Liu// CHECK: memref.copy %[[VAL_0]], %[[VAL_7]] : memref<?xi32> to memref<?xi32> 5785dbb3fcSPeiming Liu// CHECK: %[[VAL_8:.*]] = memref.dim %[[VAL_1]], %[[VAL_5]] : memref<?xi32> 5885dbb3fcSPeiming Liu// CHECK: %[[VAL_9:.*]] = memref.alloc(%[[VAL_8]]) : memref<?xi32> 5985dbb3fcSPeiming Liu// CHECK: memref.copy %[[VAL_1]], %[[VAL_9]] : memref<?xi32> to memref<?xi32> 6085dbb3fcSPeiming Liu// CHECK: %[[VAL_10:.*]] = memref.dim %[[VAL_2]], %[[VAL_5]] : memref<?xf32> 6185dbb3fcSPeiming Liu// CHECK: %[[VAL_11:.*]] = memref.alloc(%[[VAL_10]]) : memref<?xf64> 6285dbb3fcSPeiming Liu// CHECK: scf.for %[[VAL_12:.*]] = %[[VAL_5]] to %[[VAL_10]] step %[[VAL_4]] { 6385dbb3fcSPeiming Liu// CHECK: %[[VAL_13:.*]] = memref.load %[[VAL_2]]{{\[}}%[[VAL_12]]] : memref<?xf32> 6485dbb3fcSPeiming Liu// CHECK: %[[VAL_14:.*]] = arith.extf %[[VAL_13]] : f32 to f64 6585dbb3fcSPeiming Liu// CHECK: memref.store %[[VAL_14]], %[[VAL_11]]{{\[}}%[[VAL_12]]] : memref<?xf64> 6685dbb3fcSPeiming Liu// CHECK: } 6785dbb3fcSPeiming Liu// CHECK: return %[[VAL_7]], %[[VAL_9]], %[[VAL_11]], %[[VAL_3]] : memref<?xi32>, memref<?xi32>, memref<?xf64>, !sparse_tensor.storage_specifier 6885dbb3fcSPeiming Liu// CHECK: } 6985dbb3fcSPeiming Liufunc.func @sparse_convert_value(%arg0: tensor<?xf32, #SparseVector32>) -> tensor<?xf64, #SparseVector32> { 7085dbb3fcSPeiming Liu %0 = sparse_tensor.convert %arg0 : tensor<?xf32, #SparseVector32> to tensor<?xf64, #SparseVector32> 7185dbb3fcSPeiming Liu return %0 : tensor<?xf64, #SparseVector32> 7285dbb3fcSPeiming Liu} 73