Creates a tensor filled with a scalar value.
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`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output <U> |
asOutput
()
Returns the symbolic handle of the tensor.
|
static <U extends TType > Fill <U> | |
Output <U> |
output
()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output <U> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Fill <U> create ( Scope scope, Operand <? extends TNumber > dims, Operand <U> value)
Factory method to create a class wrapping a new Fill operation.
Parameters
scope | current scope |
---|---|
dims | 1-D. Represents the shape of the output tensor. |
value |
0-D (scalar). Value to fill the returned tensor.
|
Returns
- a new instance of Fill