tor-browser

The Tor Browser
git clone https://git.dasho.dev/tor-browser.git
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gru.https.any.js.ini (4749B)


      1 [gru.https.any.html]
      2  [[gru\] Test with default options]
      3    expected: FAIL
      4 
      5  [[gru\] TypeError is expected if hiddenSize equals to zero]
      6    expected: FAIL
      7 
      8  [[gru\] TypeError is expected if the data type of the inputs is not one of the floating point types]
      9    expected: FAIL
     10 
     11  [[gru\] TypeError is expected if the rank of options.initialHiddenState is not 3]
     12    expected: FAIL
     13 
     14  [[gru\] TypeError is expected if the size of options.activations is not 2]
     15    expected: FAIL
     16 
     17  [[gru\] TypeError is expected if options.initialHiddenState.dimensions[2\] is not inputSize]
     18    expected: FAIL
     19 
     20  [[gru\] TypeError is expected if hiddenSize is too large]
     21    expected: FAIL
     22 
     23  [[gru\] TypeError is expected if the rank of recurrentWeight is not 3]
     24    expected: FAIL
     25 
     26  [[gru\] TypeError is expected if the rank of options.bias is not 2]
     27    expected: FAIL
     28 
     29  [[gru\] TypeError is expected if the rank of input is not 3]
     30    expected: FAIL
     31 
     32  [[gru\] TypeError is expected if input.dimensions[0\] is not equal to steps]
     33    expected: FAIL
     34 
     35  [[gru\] TypeError is expected if options.recurrentBias.dimensions[1\] is not 3 * hiddenSize]
     36    expected: FAIL
     37 
     38  [[gru\] Test with given options]
     39    expected: FAIL
     40 
     41  [[gru\] TypeError is expected if weight.dimensions[1\] is not 3 * hiddenSize]
     42    expected: FAIL
     43 
     44  [[gru\] TypeError is expected if the recurrentWeight.dimensions is invalid]
     45    expected: FAIL
     46 
     47  [[gru\] TypeError is expected if options.bias.dimensions[1\] is not 3 * hiddenSize]
     48    expected: FAIL
     49 
     50  [[gru\] TypeError is expected if the dataType of options.initialHiddenState is incorrect]
     51    expected: FAIL
     52 
     53  [[gru\] TypeError is expected if steps equals to zero]
     54    expected: FAIL
     55 
     56  [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")]
     57    expected: FAIL
     58 
     59  [[gru\] throw if input is from another builder]
     60    expected: FAIL
     61 
     62  [[gru\] throw if weight is from another builder]
     63    expected: FAIL
     64 
     65  [[gru\] throw if recurrentWeight is from another builder]
     66    expected: FAIL
     67 
     68  [[gru\] throw if bias option is from another builder]
     69    expected: FAIL
     70 
     71  [[gru\] throw if recurrentBias option is from another builder]
     72    expected: FAIL
     73 
     74  [[gru\] throw if initialHiddenState option is from another builder]
     75    expected: FAIL
     76 
     77  [[gru\] throw if any activation option is from another builder]
     78    expected: FAIL
     79 
     80 
     81 [gru.https.any.worker.html]
     82  [[gru\] Test with default options]
     83    expected: FAIL
     84 
     85  [[gru\] Test with given options]
     86    expected: FAIL
     87 
     88  [[gru\] TypeError is expected if steps equals to zero]
     89    expected: FAIL
     90 
     91  [[gru\] TypeError is expected if hiddenSize equals to zero]
     92    expected: FAIL
     93 
     94  [[gru\] TypeError is expected if hiddenSize is too large]
     95    expected: FAIL
     96 
     97  [[gru\] TypeError is expected if the data type of the inputs is not one of the floating point types]
     98    expected: FAIL
     99 
    100  [[gru\] TypeError is expected if the rank of input is not 3]
    101    expected: FAIL
    102 
    103  [[gru\] TypeError is expected if input.dimensions[0\] is not equal to steps]
    104    expected: FAIL
    105 
    106  [[gru\] TypeError is expected if weight.dimensions[1\] is not 3 * hiddenSize]
    107    expected: FAIL
    108 
    109  [[gru\] TypeError is expected if the rank of recurrentWeight is not 3]
    110    expected: FAIL
    111 
    112  [[gru\] TypeError is expected if the recurrentWeight.dimensions is invalid]
    113    expected: FAIL
    114 
    115  [[gru\] TypeError is expected if the size of options.activations is not 2]
    116    expected: FAIL
    117 
    118  [[gru\] TypeError is expected if the rank of options.bias is not 2]
    119    expected: FAIL
    120 
    121  [[gru\] TypeError is expected if options.bias.dimensions[1\] is not 3 * hiddenSize]
    122    expected: FAIL
    123 
    124  [[gru\] TypeError is expected if options.recurrentBias.dimensions[1\] is not 3 * hiddenSize]
    125    expected: FAIL
    126 
    127  [[gru\] TypeError is expected if the rank of options.initialHiddenState is not 3]
    128    expected: FAIL
    129 
    130  [[gru\] TypeError is expected if options.initialHiddenState.dimensions[2\] is not inputSize]
    131    expected: FAIL
    132 
    133  [[gru\] TypeError is expected if the dataType of options.initialHiddenState is incorrect]
    134    expected: FAIL
    135 
    136  [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")]
    137    expected: FAIL
    138 
    139  [[gru\] throw if input is from another builder]
    140    expected: FAIL
    141 
    142  [[gru\] throw if weight is from another builder]
    143    expected: FAIL
    144 
    145  [[gru\] throw if recurrentWeight is from another builder]
    146    expected: FAIL
    147 
    148  [[gru\] throw if bias option is from another builder]
    149    expected: FAIL
    150 
    151  [[gru\] throw if recurrentBias option is from another builder]
    152    expected: FAIL
    153 
    154  [[gru\] throw if initialHiddenState option is from another builder]
    155    expected: FAIL
    156 
    157  [[gru\] throw if any activation option is from another builder]
    158    expected: FAIL