tf.compat.v1.math.softmax

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Computes softmax activations. (deprecated arguments)

tf.compat.v1.math.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

This function performs the equivalent of

softmax = tf.exp(logits) / tf.reduce_sum(tf.exp(logits), axis)

See: https://en.wikipedia.org/wiki/Softmax_function

Example usage:

tf.nn.softmax([-1, 0., 1.])

Args:

• logits: A non-empty Tensor, or an object whose type has a registered Tensor conversion function. Must be one of the following types: half,float32, float64. See also convert_to_tensor
• 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 and shape as logits.

Raises:

• InvalidArgumentError: if logits is empty or axis is beyond the last dimension of logits.
• TypeError: If no conversion function is registered for logits to Tensor.
• RuntimeError: If a registered conversion function returns an invalid value.