tf.nn.log_softmax

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Computes log softmax activations.

tf.nn.log_softmax(
    logits, axis=None, name=None
)

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).

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.