tf.layers.InputSpec

Class InputSpec

Aliases:

• Class tf.keras.layers.InputSpec
• Class tf.layers.InputSpec

Defined in tensorflow/python/layers/base.py.

Specifies the ndim, dtype and shape of every input to a layer.

Every layer should expose (if appropriate) an input_spec attribute: a list of instances of InputSpec (one per input tensor).

A None entry in a shape is compatible with any dimension, a None shape is compatible with any shape.

Arguments:

• dtype: Expected DataType of the input.
• shape: Shape tuple, expected shape of the input (may include None for unchecked axes).
• ndim: Integer, expected rank of the input.
• max_ndim: Integer, maximum rank of the input.
• min_ndim: Integer, minimum rank of the input.
• axes: Dictionary mapping integer axes to a specific dimension value.

Methods

__init__

__init__(
    dtype=None,
    shape=None,
    ndim=None,
    max_ndim=None,
    min_ndim=None,
    axes=None
)

Initialize self. See help(type(self)) for accurate signature.