1// RUN: mlir-opt %s --sparse-gpu-codegen="num-threads=0" | FileCheck %s 2 3#trait_sampled_dense_dense = { 4 indexing_maps = [ 5 affine_map<(i,j,k) -> (i,k)>, // A 6 affine_map<(i,j,k) -> (k,j)>, // B 7 affine_map<(i,j,k) -> (i,j)> // S (out) 8 ], 9 iterator_types = ["parallel", "parallel", "reduction"], 10 doc = "X(i,j) += S(i,j) SUM_k A(i,k) B(k,j)" 11} 12 13#trait_vec_op = { 14 indexing_maps = [ 15 affine_map<(i,j) -> (i,j)>, // a (in) 16 affine_map<(i,j) -> (i,j)>, // b (in) 17 affine_map<(i,j) -> (i,j)> // x (out) 18 ], 19 iterator_types = ["parallel", "parallel"] 20} 21 22#CSR = #sparse_tensor.encoding<{ map = (d0, d1) -> (d0 : dense, d1 : compressed) }> 23 24// CHECK-LABEL: func.func @sparse_sampled_dd( 25// CHECK-SAME: %[[VAL_0:.*]]: tensor<8x8xf64, #sparse{{[0-9]*}}>, 26// CHECK-SAME: %[[VAL_1:.*]]: tensor<8x8xf64>, 27// CHECK-SAME: %[[VAL_2:.*]]: tensor<8x8xf64>) -> tensor<8x8xf64, #sparse{{[0-9]*}}> { 28// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 8 : index 29// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 0 : index 30// CHECK: %[[VAL_5:.*]] = sparse_tensor.number_of_entries %[[VAL_0]] : tensor<8x8xf64, #sparse{{[0-9]*}}> 31// CHECK: %[[VAL_6:.*]] = bufferization.to_memref %[[VAL_1]] : tensor<8x8xf64> to memref<8x8xf64> 32// CHECK: %[[VAL_7:.*]] = gpu.wait async 33// CHECK: %[[VAL_8:.*]], %[[VAL_9:.*]] = gpu.alloc async {{\[}}%[[VAL_7]]] () : memref<8x8xf64> 34// CHECK: %[[VAL_10:.*]] = gpu.memcpy async {{\[}}%[[VAL_9]]] %[[VAL_8]], %[[VAL_6]] : memref<8x8xf64>, memref<8x8xf64> 35// CHECK: %[[VAL_11:.*]] = bufferization.to_memref %[[VAL_2]] : tensor<8x8xf64> to memref<8x8xf64> 36// CHECK: %[[VAL_12:.*]] = gpu.wait async 37// CHECK: %[[VAL_13:.*]], %[[VAL_14:.*]] = gpu.alloc async {{\[}}%[[VAL_12]]] () : memref<8x8xf64> 38// CHECK: %[[VAL_15:.*]] = gpu.memcpy async {{\[}}%[[VAL_14]]] %[[VAL_13]], %[[VAL_11]] : memref<8x8xf64>, memref<8x8xf64> 39// CHECK: %[[VAL_16:.*]] = sparse_tensor.positions %[[VAL_0]] {level = 1 : index} : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xindex> 40// CHECK: %[[VAL_17:.*]] = sparse_tensor.coordinates %[[VAL_0]] {level = 1 : index} : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xindex> 41// CHECK: %[[VAL_18:.*]] = sparse_tensor.values %[[VAL_0]] : tensor<8x8xf64, #sparse{{[0-9]*}}> to memref<?xf64> 42// CHECK: %[[VAL_19:.*]] = gpu.wait async 43// CHECK: %[[VAL_20:.*]] = memref.dim %[[VAL_16]], %[[VAL_4]] : memref<?xindex> 44// CHECK: %[[VAL_21:.*]], %[[VAL_22:.*]] = gpu.alloc async {{\[}}%[[VAL_19]]] (%[[VAL_20]]) : memref<?xindex> 45// CHECK: %[[VAL_23:.*]] = gpu.memcpy async {{\[}}%[[VAL_22]]] %[[VAL_21]], %[[VAL_16]] : memref<?xindex>, memref<?xindex> 46// CHECK: %[[VAL_24:.*]] = gpu.wait async 47// CHECK: %[[VAL_25:.*]] = memref.dim %[[VAL_17]], %[[VAL_4]] : memref<?xindex> 48// CHECK: %[[VAL_26:.*]], %[[VAL_27:.*]] = gpu.alloc async {{\[}}%[[VAL_24]]] (%[[VAL_25]]) : memref<?xindex> 49// CHECK: %[[VAL_28:.*]] = gpu.memcpy async {{\[}}%[[VAL_27]]] %[[VAL_26]], %[[VAL_17]] : memref<?xindex>, memref<?xindex> 50// CHECK: %[[VAL_29:.*]] = gpu.wait async 51// CHECK: %[[VAL_30:.*]] = memref.dim %[[VAL_18]], %[[VAL_4]] : memref<?xf64> 52// CHECK: %[[VAL_31:.*]], %[[VAL_32:.*]] = gpu.alloc async {{\[}}%[[VAL_29]]] (%[[VAL_30]]) : memref<?xf64> 53// CHECK: %[[VAL_33:.*]] = gpu.memcpy async {{\[}}%[[VAL_32]]] %[[VAL_31]], %[[VAL_18]] : memref<?xf64>, memref<?xf64> 54// CHECK: gpu.wait {{\[}}%[[VAL_10]], %[[VAL_15]], %[[VAL_23]], %[[VAL_28]], %[[VAL_33]]] 55// CHECK: %[[VAL_34:.*]] = gpu.wait async 56// CHECK: %[[VAL_37:.*]], %[[VAL_38:.*]] = gpu.create_dn_tensor async {{\[}}%[[VAL_34]]] %[[VAL_8]], %[[VAL_3]], %[[VAL_3]] : index, index into memref<8x8xf64> 57// CHECK: %[[VAL_39:.*]], %[[VAL_40:.*]] = gpu.create_dn_tensor async {{\[}}%[[VAL_38]]] %[[VAL_13]], %[[VAL_3]], %[[VAL_3]] : index, index into memref<8x8xf64> 58// CHECK: %[[VAL_41:.*]], %[[VAL_42:.*]] = gpu.create_csr async {{\[}}%[[VAL_40]]] %[[VAL_3]], %[[VAL_3]], %[[VAL_5]], %[[VAL_21]], %[[VAL_26]], %[[VAL_31]] : memref<?xindex>, memref<?xindex>, memref<?xf64> 59// CHECK: %[[VAL_43:.*]], %[[VAL_44:.*]] = gpu.sddmm_buffer_size async {{\[}}%[[VAL_42]]] %[[VAL_37]], %[[VAL_39]], %[[VAL_41]] into f64 60// CHECK: %[[VAL_45:.*]], %[[VAL_46:.*]] = gpu.alloc async {{\[}}%[[VAL_44]]] (%[[VAL_43]]) : memref<?xi8> 61// CHECK: %[[VAL_47:.*]] = gpu.sddmm async {{\[}}%[[VAL_46]]] %[[VAL_37]], %[[VAL_39]], %[[VAL_41]], %[[VAL_45]] : memref<?xi8> into f64 62// CHECK: %[[VAL_48:.*]] = gpu.destroy_dn_tensor async {{\[}}%[[VAL_47]]] %[[VAL_37]] 63// CHECK: %[[VAL_49:.*]] = gpu.destroy_dn_tensor async {{\[}}%[[VAL_48]]] %[[VAL_39]] 64// CHECK: %[[VAL_50:.*]] = gpu.destroy_sp_mat async {{\[}}%[[VAL_49]]] %[[VAL_41]] 65// CHECK: %[[VAL_52:.*]] = gpu.dealloc async {{\[}}%[[VAL_50]]] %[[VAL_45]] : memref<?xi8> 66// CHECK: %[[VAL_53:.*]] = gpu.dealloc async {{\[}}%[[VAL_52]]] %[[VAL_8]] : memref<8x8xf64> 67// CHECK: %[[VAL_54:.*]] = gpu.dealloc async {{\[}}%[[VAL_53]]] %[[VAL_13]] : memref<8x8xf64> 68// CHECK: %[[VAL_55:.*]] = gpu.dealloc async {{\[}}%[[VAL_54]]] %[[VAL_21]] : memref<?xindex> 69// CHECK: %[[VAL_56:.*]] = gpu.dealloc async {{\[}}%[[VAL_55]]] %[[VAL_26]] : memref<?xindex> 70// CHECK: %[[VAL_57:.*]] = gpu.memcpy async {{\[}}%[[VAL_56]]] %[[VAL_18]], %[[VAL_31]] : memref<?xf64>, memref<?xf64> 71// CHECK: %[[VAL_58:.*]] = gpu.dealloc async {{\[}}%[[VAL_57]]] %[[VAL_31]] : memref<?xf64> 72// CHECK: gpu.wait {{\[}}%[[VAL_58]]] 73// CHECK: %[[VAL_59:.*]] = sparse_tensor.load %[[VAL_0]] : tensor<8x8xf64, #sparse{{[0-9]*}}> 74// CHECK: return %[[VAL_59]] : tensor<8x8xf64, #sparse{{[0-9]*}}> 75// CHECK: } 76// 77// A kernel that computes a direct sampled matrix matrix multiplication 78// (with sparse result). 79// Compute SDDMM C = C\spy AB 80// 81func.func @sparse_sampled_dd(%argS: tensor<8x8xf64, #CSR>, 82 %argA: tensor<8x8xf64>, 83 %argB: tensor<8x8xf64>) -> tensor<8x8xf64, #CSR> { 84 %result = linalg.generic #trait_sampled_dense_dense 85 ins(%argA, %argB: tensor<8x8xf64>, tensor<8x8xf64>) 86 outs(%argS: tensor<8x8xf64, #CSR>) { 87 ^bb(%a: f64, %b: f64, %s: f64): 88 %f0 = arith.constant 0.0 : f64 89 %u = sparse_tensor.unary %s : f64 to f64 90 present={ 91 ^bb0(%p: f64): 92 %mul = arith.mulf %a, %b : f64 93 sparse_tensor.yield %mul : f64 94 } 95 absent={} 96 %r = sparse_tensor.reduce %s, %u, %f0 : f64 { 97 ^bb0(%p: f64, %q: f64): 98 %add = arith.addf %p, %q : f64 99 sparse_tensor.yield %add : f64 100 } 101 linalg.yield %r : f64 102 } -> tensor<8x8xf64, #CSR> 103 return %result : tensor<8x8xf64, #CSR> 104} 105