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
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
|
[gru.https.any.html]
[[gru\] Test with default options]
expected: FAIL
[[gru\] TypeError is expected if hiddenSize equals to zero]
expected: FAIL
[[gru\] TypeError is expected if the data type of the inputs is not one of the floating point types]
expected: FAIL
[[gru\] TypeError is expected if the rank of options.initialHiddenState is not 3]
expected: FAIL
[[gru\] TypeError is expected if the size of options.activations is not 2]
expected: FAIL
[[gru\] TypeError is expected if options.initialHiddenState.dimensions[2\] is not inputSize]
expected: FAIL
[[gru\] TypeError is expected if hiddenSize is too large]
expected: FAIL
[[gru\] TypeError is expected if the rank of recurrentWeight is not 3]
expected: FAIL
[[gru\] TypeError is expected if the rank of options.bias is not 2]
expected: FAIL
[[gru\] TypeError is expected if the rank of input is not 3]
expected: FAIL
[[gru\] TypeError is expected if input.dimensions[0\] is not equal to steps]
expected: FAIL
[[gru\] TypeError is expected if options.recurrentBias.dimensions[1\] is not 3 * hiddenSize]
expected: FAIL
[[gru\] Test with given options]
expected: FAIL
[[gru\] TypeError is expected if weight.dimensions[1\] is not 3 * hiddenSize]
expected: FAIL
[[gru\] TypeError is expected if the recurrentWeight.dimensions is invalid]
expected: FAIL
[[gru\] TypeError is expected if options.bias.dimensions[1\] is not 3 * hiddenSize]
expected: FAIL
[[gru\] TypeError is expected if the dataType of options.initialHiddenState is incorrect]
expected: FAIL
[[gru\] TypeError is expected if steps equals to zero]
expected: FAIL
[assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")]
expected: FAIL
[[gru\] throw if input is from another builder]
expected: FAIL
[[gru\] throw if weight is from another builder]
expected: FAIL
[[gru\] throw if recurrentWeight is from another builder]
expected: FAIL
[[gru\] throw if bias option is from another builder]
expected: FAIL
[[gru\] throw if recurrentBias option is from another builder]
expected: FAIL
[[gru\] throw if initialHiddenState option is from another builder]
expected: FAIL
[[gru\] throw if any activation option is from another builder]
expected: FAIL
[gru.https.any.worker.html]
[[gru\] Test with default options]
expected: FAIL
[[gru\] Test with given options]
expected: FAIL
[[gru\] TypeError is expected if steps equals to zero]
expected: FAIL
[[gru\] TypeError is expected if hiddenSize equals to zero]
expected: FAIL
[[gru\] TypeError is expected if hiddenSize is too large]
expected: FAIL
[[gru\] TypeError is expected if the data type of the inputs is not one of the floating point types]
expected: FAIL
[[gru\] TypeError is expected if the rank of input is not 3]
expected: FAIL
[[gru\] TypeError is expected if input.dimensions[0\] is not equal to steps]
expected: FAIL
[[gru\] TypeError is expected if weight.dimensions[1\] is not 3 * hiddenSize]
expected: FAIL
[[gru\] TypeError is expected if the rank of recurrentWeight is not 3]
expected: FAIL
[[gru\] TypeError is expected if the recurrentWeight.dimensions is invalid]
expected: FAIL
[[gru\] TypeError is expected if the size of options.activations is not 2]
expected: FAIL
[[gru\] TypeError is expected if the rank of options.bias is not 2]
expected: FAIL
[[gru\] TypeError is expected if options.bias.dimensions[1\] is not 3 * hiddenSize]
expected: FAIL
[[gru\] TypeError is expected if options.recurrentBias.dimensions[1\] is not 3 * hiddenSize]
expected: FAIL
[[gru\] TypeError is expected if the rank of options.initialHiddenState is not 3]
expected: FAIL
[[gru\] TypeError is expected if options.initialHiddenState.dimensions[2\] is not inputSize]
expected: FAIL
[[gru\] TypeError is expected if the dataType of options.initialHiddenState is incorrect]
expected: FAIL
[assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")]
expected: FAIL
[[gru\] throw if input is from another builder]
expected: FAIL
[[gru\] throw if weight is from another builder]
expected: FAIL
[[gru\] throw if recurrentWeight is from another builder]
expected: FAIL
[[gru\] throw if bias option is from another builder]
expected: FAIL
[[gru\] throw if recurrentBias option is from another builder]
expected: FAIL
[[gru\] throw if initialHiddenState option is from another builder]
expected: FAIL
[[gru\] throw if any activation option is from another builder]
expected: FAIL
|
