tf.compat.v1.layers.Flatten

Flattens an input tensor while preserving the batch axis (axis 0).

Inherits From: Flatten, Layer, Layer, Module

tf.compat.v1.layers.Flatten(
    data_format=None, **kwargs
)

Migrate to TF2

This API is a legacy api that is only compatible with eager execution and tf.function if you combine it with tf.compat.v1.keras.utils.track_tf1_style_variables

Please refer to tf.layers model mapping section of the migration guide to learn how to use your TensorFlow v1 model in TF2 with Keras.

The corresponding TensorFlow v2 layer is tf.keras.layers.Flatten.

Structural Mapping to Native TF2

None of the supported arguments have changed name.

Before:

 flatten = tf.compat.v1.layers.Flatten()

After:

 flatten = tf.keras.layers.Flatten()

Description

data_format A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs. channels_last corresponds to inputs with shape (batch, ..., channels) while channels_first corresponds to inputs with shape (batch, channels, ...).

Examples:

  x = tf.compat.v1.placeholder(shape=(None, 4, 4), dtype='float32')
  y = Flatten()(x)
  # now `y` has shape `(None, 16)`

  x = tf.compat.v1.placeholder(shape=(None, 3, None), dtype='float32')
  y = Flatten()(x)
  # now `y` has shape `(None, None)`

graph

scope_name