Creates a tensor filled with a scalar value.

# Aliases:

• tf.compat.v1.fill
• tf.compat.v2.fill

 tf.fill(
    dims,
    value,
    name=None
)

# Used in the guide:

• Raggedtensors``
• tf.data:BuildTensorFlow input pipelines

# Used in the tutorials:

• Unicode strings This operation creates a tensor of shape dims and fills it with value.

# For example:

 # Output tensor has shape [2, 3].
fill([2, 3], 9) ==> [[9, 9, 9]
                     [9, 9, 9]]

tf.fill differs from tf.constant in a few ways:

• tf.fill only supports scalar contents, whereas tf.constant supports Tensor values.
• tf.fill creates an Op in the computation graph that constructs the actual Tensor value at runtime. This is in contrast to tf.constant which embeds the entire Tensor into the graph with a Const node.
• Because tf.fill evaluates at graph runtime, it supports dynamic shapes based on other runtime Tensors, unlike tf.constant.

# Args:

• dims: A Tensor. Must be one of the following types: int32, int64. 1-D. Represents the shape of the output tensor.
• value: A Tensor. 0-D (scalar). Value to fill the returned tensor. @compatibility(numpy) Equivalent to np.full @end_compatibility
• name: A name for the operation (optional).

# Returns:

A Tensor. Has the same type as value.