diff options
Diffstat (limited to 'testing/web-platform/meta/webnn/validation_tests/batch_normalization.https.any.js.ini')
| -rw-r--r-- | testing/web-platform/meta/webnn/validation_tests/batch_normalization.https.any.js.ini | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/testing/web-platform/meta/webnn/validation_tests/batch_normalization.https.any.js.ini b/testing/web-platform/meta/webnn/validation_tests/batch_normalization.https.any.js.ini new file mode 100644 index 0000000000..3ec569fa97 --- /dev/null +++ b/testing/web-platform/meta/webnn/validation_tests/batch_normalization.https.any.js.ini @@ -0,0 +1,74 @@ +[batch_normalization.https.any.worker.html] + [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")] + expected: FAIL + + [[batchNormalization\] TypeError is expected if options.axis is outside the 'unsigned long' value range] + expected: FAIL + + [[batchNormalization\] DataError is expected if options.axis is 'unsigned long' and it's not in the range 0 to the rank of input, exclusive] + expected: FAIL + + [[batchNormalization\] TypeError is expected if options.axis is not an unsigned long interger] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of mean.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if mean.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of variance.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if variance.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of scale.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if scale.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of bias.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if bias.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + +[batch_normalization.https.any.html] + [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")] + expected: FAIL + + [[batchNormalization\] TypeError is expected if options.axis is outside the 'unsigned long' value range] + expected: FAIL + + [[batchNormalization\] DataError is expected if options.axis is 'unsigned long' and it's not in the range 0 to the rank of input, exclusive] + expected: FAIL + + [[batchNormalization\] TypeError is expected if options.axis is not an unsigned long interger] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of mean.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if mean.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of variance.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if variance.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of scale.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if scale.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL + + [[batchNormalization\] DataError is expected if the size of bias.dimensions is not 1] + expected: FAIL + + [[batchNormalization\] DataError is expected if bias.dimensions[0\] is not equal to input.dimensions[options.axis\]] + expected: FAIL |