tf.compat.v1.math.log_softmax

Computes log softmax activations. (deprecated arguments)

View aliases

Compat aliases for migration

tf.compat.v1.nn.log_softmax

tf.compat.v1.math.log_softmax(
    logits, axis=None, name=None, dim=None
)

Warning: SOME ARGUMENTS ARE DEPRECATED: (dim). They will be removed in a future version. Instructions for updating: dim is deprecated, use axis instead

For each batch i and class j we have

logsoftmax = logits - log(reduce_sum(exp(logits), axis))

Args:

logits: A non-empty Tensor. Must be one of the following types: half, float32, float64.
axis: The dimension softmax would be performed on. The default is -1 which indicates the last dimension.
name: A name for the operation (optional).
dim: Deprecated alias for axis.

Returns:

A Tensor. Has the same type as logits. Same shape as logits.

Raises:

InvalidArgumentError: if logits is empty or axis is beyond the last dimension of logits.