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Method that returns the loss tensor for hinge loss. (deprecated)

logits The logits, a float tensor. Note that logits are assumed to be unbounded and 0-centered. A value > 0 (resp. < 0) is considered a positive (resp. negative) binary prediction.
labels The ground truth output tensor. Its shape should match the shape of logits. The values of the tensor are expected to be 0.0 or 1.0. Internally the {0,1} labels are converted to {-1,1} when calculating the hinge loss.
scope The scope for the operations performed in computing the loss.

An unweighted Tensor of same shape as logits and labels representing the loss values across the batch.

ValueError If the shapes of logits and labels don't match.