On this page
tf.layers.InputSpec
Specifies the ndim, dtype and shape of every input to a layer.
tf.layers.InputSpec(
    dtype=None, shape=None, ndim=None, max_ndim=None, min_ndim=None, axes=None
)
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
from_config
  
  @classmethod
from_config(
    config
)
get_config
  
  get_config()
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/layers/InputSpec