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Adds a cosine-distance loss to the training procedure. (deprecated arguments) (deprecated)

Note that the function assumes that predictions and labels are already unit-normalized.

predictions An arbitrary matrix.
labels A Tensor whose shape matches 'predictions'
axis The dimension along which the cosine distance is computed.
weights Coefficients for the loss a scalar, a tensor of shape [batch_size] or a tensor whose shape matches predictions.
scope The scope for the operations performed in computing the loss.
dim The old (deprecated) name for axis.

A scalar Tensor representing the loss value.

ValueError If predictions shape doesn't match labels shape, or weights is None.