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# tensorflow:: ops:: Fill

``` #include <array_ops.h> ```

Creates a tensor filled with a scalar value.

## Summary

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:

• scope: A Scope object
• dims: 1-D. Represents the shape of the output tensor.
• value: 0-D (scalar). Value to fill the returned tensor.

(numpy) Equivalent to np.full

Returns:

• ``` Output ``` : The output tensor.

### Constructors and Destructors

``` Fill (const :: tensorflow::Scope & scope, :: tensorflow::Input dims, :: tensorflow::Input value) ```

### Public attributes

``` operation ```
``` Operation ```
``` output ```
``` :: tensorflow::Output ```

### Public functions

``` node () const ```
``` ::tensorflow::Node * ```
``` operator::tensorflow::Input () const ```
``` ```
``` operator::tensorflow::Output () const ```
``` ```

## Public attributes

### operation

`Operation operation`

### output

`::tensorflow::Output output`

## Public functions

### Fill

``` Fill(
const ::tensorflow::Scope & scope,
::tensorflow::Input dims,
::tensorflow::Input value
)```

### node

`::tensorflow::Node * node() const `

### operator::tensorflow::Input

` operator::tensorflow::Input() const `

### operator::tensorflow::Output

` operator::tensorflow::Output() const `
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