tf.keras.layers.InputLayer

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Layer to be used as an entry point into a Network (a graph of layers).

Inherits From: Layer

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Compat aliases for migration

tf.compat.v1.keras.layers.InputLayer

tf.keras.layers.InputLayer(
    input_shape=None, batch_size=None, dtype=None, input_tensor=None, sparse=False,
    name=None, ragged=False, **kwargs
)

It can either wrap an existing tensor (pass an input_tensor argument) or create a placeholder tensor (pass arguments input_shape, and optionally, dtype).

It is generally recommend to use the functional layer API via Input, (which creates an InputLayer) without directly using InputLayer.

This class can create placeholders for tf.Tensors, tf.SparseTensors, and tf.RaggedTensors by choosing 'sparse=True' or 'ragged=True'.

Arguments
input_shape	Shape tuple (not including the batch axis), or TensorShapeinstance (not including the batch axis).
batch_size	Optional input batch size (integer or None).
dtype	Datatype of the input.
input_tensor	Optional tensor to use as layer input instead of creating a placeholder.
sparse	Boolean, whether the placeholder created is meant to be sparse.
ragged	Boolean, whether the placeholder created is meant to be ragged. In this case, values of 'None' in the 'shape' argument represent ragged dimensions. For more information about RaggedTensors, seehttps://www.tensorflow.org/guide/ragged_tensors
name	Name of the layer (string).

tf.keras.layers.InputLayer | TensorFlow v2.0.0 (original) (raw)

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