tf.layers.flatten

tf.layers.flatten(
    inputs,
    name=None,
    data_format='channels_last'
)

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

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

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use keras.layers.flatten instead.

Arguments:

• inputs: Tensor input.
• name: The name of the layer (string).
• 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, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, height, width).

Returns:

Reshaped tensor.

Examples:

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

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