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
78
79
|
// META: title=validation tests for WebNN API reshape operation
// META: global=window,dedicatedworker
// META: script=../resources/utils_validation.js
'use strict';
multi_builder_test(async (t, builder, otherBuilder) => {
const inputFromOtherBuilder =
otherBuilder.input('input', {dataType: 'float32', dimensions: [1, 2, 3]});
const newShape = [3, 2, 1];
assert_throws_js(
TypeError, () => builder.reshape(inputFromOtherBuilder, newShape));
}, '[reshape] throw if input is from another builder');
const tests = [
{
name: '[reshape] Test with new shape=[3, 8].',
input: {dataType: 'float32', dimensions: [2, 3, 4]},
newShape: [3, 8],
output: {dataType: 'float32', dimensions: [3, 8]}
},
{
name: '[reshape] Test with new shape=[24], src shape=[2, 3, 4].',
input: {dataType: 'float32', dimensions: [2, 3, 4]},
newShape: [24],
output: {dataType: 'float32', dimensions: [24]}
},
{
name: '[reshape] Test with new shape=[1], src shape=[1].',
input: {dataType: 'float32', dimensions: [1]},
newShape: [1],
output: {dataType: 'float32', dimensions: [1]}
},
{
name: '[reshape] Test reshaping a 1-D 1-element tensor to scalar.',
input: {dataType: 'float32', dimensions: [1]},
newShape: [],
output: {dataType: 'float32', dimensions: []}
},
{
name: '[reshape] Test reshaping a scalar to 1-D 1-element tensor.',
input: {dataType: 'float32', dimensions: []},
newShape: [1],
output: {dataType: 'float32', dimensions: [1]}
},
{
name: '[reshape] Throw if one value of new shape is 0.',
input: {dataType: 'float32', dimensions: [2, 4]},
newShape: [2, 4, 0],
},
{
name:
'[reshape] Throw if the number of elements implied by new shape is not equal to the number of elements in the input tensor when new shape=[].',
input: {dataType: 'float32', dimensions: [2, 3, 4]},
newShape: [],
},
{
name:
'[reshape] Throw if the number of elements implied by new shape is not equal to the number of elements in the input tensor.',
input: {dataType: 'float32', dimensions: [2, 3, 4]},
newShape: [3, 9],
},
];
tests.forEach(
test => promise_test(async t => {
const input = builder.input(
'input',
{dataType: test.input.dataType, dimensions: test.input.dimensions});
if (test.output) {
const output = builder.reshape(input, test.newShape);
assert_equals(output.dataType(), test.output.dataType);
assert_array_equals(output.shape(), test.output.dimensions);
} else {
assert_throws_js(
TypeError, () => builder.reshape(input, test.newShape));
}
}, test.name));
|
