tf.keras.backend.placeholder

TensorFlow 1 version View source on GitHub

Instantiates a placeholder tensor and returns it.

tf.keras.backend.placeholder(
    shape=None, ndim=None, dtype=None, sparse=False, name=None, ragged=False
)

Arguments:

  • shape: Shape of the placeholder (integer tuple, may include None entries).
  • ndim: Number of axes of the tensor. At least one of {shape, ndim} must be specified. If both are specified, shape is used.
  • dtype: Placeholder type.
  • sparse: Boolean, whether the placeholder should have a sparse type.
  • name: Optional name string for the placeholder.
  • ragged: Boolean, whether the placeholder should have a ragged type. In this case, values of 'None' in the 'shape' argument represent ragged dimensions. For more information about RaggedTensors, see this guide.

Raises:

  • ValueError: If called with eager execution
  • ValueError: If called with sparse = True and ragged = True.

Returns:

Tensor instance (with Keras metadata included).

Examples:

    from keras import backend as K 
    input_ph = K.placeholder(shape=(2, 4, 5)) 
    input_ph 
        <tf.Tensor 'Placeholder_4:0' shape=(2, 4, 5) dtype=float32>