Refine the doc of sigmoid_binary_cross_entropy to not assume the meaning of last dimension. #418
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…ing of last dimension. This loss is just an elementwise loss and the last dimension can be anything, not necessarily `num_classes`. For example, `logits` can be a vector whose dimension means `batch`. PiperOrigin-RevId: 474820626
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Refine the doc of sigmoid_binary_cross_entropy to not assume the meaning of last dimension.
This loss is just an elementwise loss and the last dimension can be anything, not necessarily
num_classes.For example,
logitscan be a vector whose dimension meansbatch.