1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
// RUN: mlir-opt %s --canonicalize --sparse-tensor-codegen -cse --canonicalize | FileCheck %s
#COO = #sparse_tensor.encoding<{
map = (d0, d1) -> (d0 : compressed(nonunique), d1 : singleton),
crdWidth=32
}>
// CHECK-LABEL: func.func @sparse_pack(
// CHECK-SAME: %[[VAL_0:.*]]: tensor<6xf64>,
// CHECK-SAME: %[[VAL_1:.*]]: tensor<2xindex>,
// CHECK-SAME: %[[VAL_2:.*]]: tensor<6x2xi32>)
// CHECK-DAG: %[[VAL_3:.*]] = arith.constant 2 : index
// CHECK-DAG: %[[VAL_4:.*]] = arith.constant 100 : index
// CHECK-DAG: %[[VAL_5:.*]] = arith.constant 1 : index
// CHECK-DAG: %[[VAL_6:.*]] = bufferization.to_memref %[[VAL_1]] : memref<2xindex>
// CHECK-DAG: %[[VAL_7:.*]] = memref.cast %[[VAL_6]] : memref<2xindex> to memref<?xindex>
// CHECK-DAG: %[[VAL_8:.*]] = bufferization.to_memref %[[VAL_2]] : memref<6x2xi32>
// CHECK-DAG: %[[VAL_9:.*]] = memref.collapse_shape %[[VAL_8]] {{\[\[}}0, 1]] : memref<6x2xi32> into memref<12xi32>
// CHECK-DAG: %[[VAL_10:.*]] = memref.cast %[[VAL_9]] : memref<12xi32> to memref<?xi32>
// CHECK-DAG: %[[VAL_11:.*]] = bufferization.to_memref %[[VAL_0]] : memref<6xf64>
// CHECK-DAG: %[[VAL_12:.*]] = memref.cast %[[VAL_11]] : memref<6xf64> to memref<?xf64>
// CHECK: %[[VAL_13:.*]] = sparse_tensor.storage_specifier.init
// CHECK: %[[VAL_14:.*]] = sparse_tensor.storage_specifier.set %[[VAL_13]] lvl_sz at 0 with %[[VAL_4]]
// CHECK: %[[VAL_15:.*]] = sparse_tensor.storage_specifier.set %[[VAL_14]] pos_mem_sz at 0 with %[[VAL_3]]
// CHECK: %[[VAL_16:.*]] = tensor.extract %[[VAL_1]]{{\[}}%[[VAL_5]]] : tensor<2xindex>
// CHECK: %[[VAL_17:.*]] = arith.muli %[[VAL_16]], %[[VAL_3]] : index
// CHECK: %[[VAL_18:.*]] = sparse_tensor.storage_specifier.set %[[VAL_15]] crd_mem_sz at 0 with %[[VAL_17]]
// CHECK: %[[VAL_19:.*]] = sparse_tensor.storage_specifier.set %[[VAL_18]] lvl_sz at 1 with %[[VAL_4]]
// CHECK: %[[VAL_20:.*]] = sparse_tensor.storage_specifier.set %[[VAL_19]] val_mem_sz with %[[VAL_16]]
// CHECK: return %[[VAL_7]], %[[VAL_10]], %[[VAL_12]], %[[VAL_20]]
// CHECK: }
func.func @sparse_pack(%values: tensor<6xf64>, %pos:tensor<2xindex>, %coordinates: tensor<6x2xi32>)
-> tensor<100x100xf64, #COO> {
%0 = sparse_tensor.assemble %values, %pos, %coordinates
: tensor<6xf64>, tensor<2xindex>, tensor<6x2xi32> to tensor<100x100xf64, #COO>
return %0 : tensor<100x100xf64, #COO>
}
// CHECK-LABEL: func.func @sparse_unpack(
// CHECK-SAME: %[[VAL_0:.*]]: memref<?xindex>,
// CHECK-SAME: %[[VAL_1:.*]]: memref<?xi32>,
// CHECK-SAME: %[[VAL_2:.*]]: memref<?xf64>,
// CHECK-SAME: %[[VAL_3:.*]]: !sparse_tensor.storage_specifier<#sparse{{[0-9]*}}>,
// CHECK-SAME: %[[VAL_4:.*]]: tensor<6xf64>,
// CHECK-SAME: %[[VAL_5:.*]]: tensor<2xindex>,
// CHECK-SAME: %[[VAL_6:.*]]: tensor<6x2xi32>) -> (tensor<6xf64>, tensor<2xindex>, tensor<6x2xi32>) {
// CHECK: %[[VAL_7:.*]] = sparse_tensor.storage_specifier.get %[[VAL_3]] pos_mem_sz at 0
// CHECK: %[[VAL_8:.*]] = bufferization.to_memref %[[VAL_5]] : memref<2xindex>
// CHECK: %[[VAL_9:.*]] = memref.subview %[[VAL_8]][0] {{\[}}%[[VAL_7]]] [1] : memref<2xindex> to memref<?xindex>
// CHECK: %[[VAL_10:.*]] = memref.subview %[[VAL_0]][0] {{\[}}%[[VAL_7]]] [1] : memref<?xindex> to memref<?xindex>
// CHECK: memref.copy %[[VAL_10]], %[[VAL_9]] : memref<?xindex> to memref<?xindex>
// CHECK: %[[VAL_11:.*]] = sparse_tensor.storage_specifier.get %[[VAL_3]] crd_mem_sz at 0
// CHECK: %[[VAL_12:.*]] = bufferization.to_memref %[[VAL_6]] : memref<6x2xi32>
// CHECK: %[[VAL_13:.*]] = memref.collapse_shape %[[VAL_12]] {{\[\[}}0, 1]] : memref<6x2xi32> into memref<12xi32>
// CHECK: %[[VAL_14:.*]] = memref.subview %[[VAL_13]][0] {{\[}}%[[VAL_11]]] [1] : memref<12xi32> to memref<?xi32>
// CHECK: %[[VAL_15:.*]] = memref.subview %[[VAL_1]][0] {{\[}}%[[VAL_11]]] [1] : memref<?xi32> to memref<?xi32>
// CHECK: memref.copy %[[VAL_15]], %[[VAL_14]] : memref<?xi32> to memref<?xi32>
// CHECK: %[[VAL_16:.*]] = sparse_tensor.storage_specifier.get %[[VAL_3]] val_mem_sz
// CHECK: %[[VAL_17:.*]] = bufferization.to_memref %[[VAL_4]] : memref<6xf64>
// CHECK: %[[VAL_18:.*]] = memref.subview %[[VAL_17]][0] {{\[}}%[[VAL_16]]] [1] : memref<6xf64> to memref<?xf64>
// CHECK: %[[VAL_19:.*]] = memref.subview %[[VAL_2]][0] {{\[}}%[[VAL_16]]] [1] : memref<?xf64> to memref<?xf64>
// CHECK: memref.copy %[[VAL_19]], %[[VAL_18]] : memref<?xf64> to memref<?xf64>
// CHECK: %[[VAL_20:.*]] = bufferization.to_tensor %[[VAL_17]] : memref<6xf64>
// CHECK: %[[VAL_21:.*]] = bufferization.to_tensor %[[VAL_8]] : memref<2xindex>
// CHECK: %[[VAL_22:.*]] = bufferization.to_tensor %[[VAL_12]] : memref<6x2xi32>
// CHECK: return %[[VAL_20]], %[[VAL_21]], %[[VAL_22]] : tensor<6xf64>, tensor<2xindex>, tensor<6x2xi32>
// CHECK: }
func.func @sparse_unpack(%sp : tensor<100x100xf64, #COO>,
%od : tensor<6xf64>,
%op : tensor<2xindex>,
%oi : tensor<6x2xi32>)
-> (tensor<6xf64>, tensor<2xindex>, tensor<6x2xi32>) {
%rd, %rp, %ri, %dl, %pl, %il = sparse_tensor.disassemble %sp : tensor<100x100xf64, #COO>
outs(%od, %op, %oi : tensor<6xf64>, tensor<2xindex>, tensor<6x2xi32>)
-> tensor<6xf64>, (tensor<2xindex>, tensor<6x2xi32>), index, (index, index)
return %rd, %rp, %ri : tensor<6xf64>, tensor<2xindex>, tensor<6x2xi32>
}
|
