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[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
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