diff options
Diffstat (limited to 'testing/web-platform/meta/webnn/validation_tests/gruCell.https.any.js.ini')
| -rw-r--r-- | testing/web-platform/meta/webnn/validation_tests/gruCell.https.any.js.ini | 188 |
1 files changed, 188 insertions, 0 deletions
diff --git a/testing/web-platform/meta/webnn/validation_tests/gruCell.https.any.js.ini b/testing/web-platform/meta/webnn/validation_tests/gruCell.https.any.js.ini new file mode 100644 index 0000000000..ca1d48411f --- /dev/null +++ b/testing/web-platform/meta/webnn/validation_tests/gruCell.https.any.js.ini @@ -0,0 +1,188 @@ +[gruCell.https.any.worker.html] + [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")] + expected: FAIL + + [[gruCell\] throw if input is from another builder] + expected: FAIL + + [[gruCell\] throw if weight is from another builder] + expected: FAIL + + [[gruCell\] throw if recurrentWeight is from another builder] + expected: FAIL + + [[gruCell\] throw if hiddenState is from another builder] + expected: FAIL + + [[gruCell\] throw if bias option is from another builder] + expected: FAIL + + [[gruCell\] throw if recurrentBias option is from another builder] + expected: FAIL + + [[gruCell\] throw if any activation option is from another builder] + expected: FAIL + + [[gruCell\] Test with default options] + expected: FAIL + + [[gruCell\] Test with given options] + expected: FAIL + + [[gruCell\] Throw if hiddenSize equals to zero] + expected: FAIL + + [[gruCell\] Throw if hiddenSize is too large] + expected: FAIL + + [[gruCell\] Throw if the data type of the inputs is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of input is not 2] + expected: FAIL + + [[gruCell\] Throw if the input.dimensions[1\] is incorrect] + expected: FAIL + + [[gruCell\] Throw if data type of weight is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if rank of weight is not 2] + expected: FAIL + + [[gruCell\] Throw if weight.dimensions[0\] is not 3 * hiddenSize] + expected: FAIL + + [[gruCell\] Throw if data type of recurrentWeight is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of recurrentWeight is not 2] + expected: FAIL + + [[gruCell\] Throw if the recurrentWeight.dimensions is invalid] + expected: FAIL + + [[gruCell\] Throw if data type of hiddenState is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of hiddenState is not 2] + expected: FAIL + + [[gruCell\] Throw if the hiddenState.dimensions is invalid] + expected: FAIL + + [[gruCell\] Throw if the size of options.activations is not 2] + expected: FAIL + + [[gruCell\] Throw if data type of options.bias is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of options.bias is not 1] + expected: FAIL + + [[gruCell\] Throw if options.bias.dimensions[0\] is not 3 * hiddenSize] + expected: FAIL + + [[gruCell\] Throw if data type of options.recurrentBias is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of options.recurrentBias is not 1] + expected: FAIL + + [[gruCell\] Throw if options.recurrentBias.dimensions[0\] is not 3 * hiddenSize] + expected: FAIL + + +[gruCell.https.any.html] + [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")] + expected: FAIL + + [[gruCell\] throw if input is from another builder] + expected: FAIL + + [[gruCell\] throw if weight is from another builder] + expected: FAIL + + [[gruCell\] throw if recurrentWeight is from another builder] + expected: FAIL + + [[gruCell\] throw if hiddenState is from another builder] + expected: FAIL + + [[gruCell\] throw if bias option is from another builder] + expected: FAIL + + [[gruCell\] throw if recurrentBias option is from another builder] + expected: FAIL + + [[gruCell\] throw if any activation option is from another builder] + expected: FAIL + + [[gruCell\] Test with default options] + expected: FAIL + + [[gruCell\] Test with given options] + expected: FAIL + + [[gruCell\] Throw if hiddenSize equals to zero] + expected: FAIL + + [[gruCell\] Throw if hiddenSize is too large] + expected: FAIL + + [[gruCell\] Throw if the data type of the inputs is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of input is not 2] + expected: FAIL + + [[gruCell\] Throw if the input.dimensions[1\] is incorrect] + expected: FAIL + + [[gruCell\] Throw if data type of weight is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if rank of weight is not 2] + expected: FAIL + + [[gruCell\] Throw if weight.dimensions[0\] is not 3 * hiddenSize] + expected: FAIL + + [[gruCell\] Throw if data type of recurrentWeight is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of recurrentWeight is not 2] + expected: FAIL + + [[gruCell\] Throw if the recurrentWeight.dimensions is invalid] + expected: FAIL + + [[gruCell\] Throw if data type of hiddenState is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of hiddenState is not 2] + expected: FAIL + + [[gruCell\] Throw if the hiddenState.dimensions is invalid] + expected: FAIL + + [[gruCell\] Throw if the size of options.activations is not 2] + expected: FAIL + + [[gruCell\] Throw if data type of options.bias is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of options.bias is not 1] + expected: FAIL + + [[gruCell\] Throw if options.bias.dimensions[0\] is not 3 * hiddenSize] + expected: FAIL + + [[gruCell\] Throw if data type of options.recurrentBias is not one of the floating point types] + expected: FAIL + + [[gruCell\] Throw if the rank of options.recurrentBias is not 1] + expected: FAIL + + [[gruCell\] Throw if options.recurrentBias.dimensions[0\] is not 3 * hiddenSize] + expected: FAIL |