# tf.zeros_initializer

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/init_ops_v2.py#L110-L154) |

Initializer that generates tensors initialized to 0.

Initializers allow you to pre-specify an initialization strategy, encoded in
the Initializer object, without knowing the shape and dtype of the variable
being initialized.

#### Examples:

    def make_variables(k, initializer):
      return (tf.Variable(initializer(shape=[k], dtype=tf.float32)),
              tf.Variable(initializer(shape=[k, k], dtype=tf.float32)))
    v1, v2 = make_variables(3, tf.zeros_initializer())
    v1
    <tf.Variable ... shape=(3,) ... numpy=array([0., 0., 0.], dtype=float32)>
    v2
    <tf.Variable ... shape=(3, 3) ... numpy=
    array([[0., 0., 0.],
           [0., 0., 0.],
           [0., 0., 0.]], dtype=float32)>
    make_variables(4, tf.random_uniform_initializer(minval=-1., maxval=1.))
    (<tf.Variable...shape=(4,) dtype=float32...>, <tf.Variable...shape=(4, 4) ...

## Methods

### `from_config`

[View source](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/init_ops_v2.py#L76-L96)

    @classmethod
    from_config(
        config
    )

Instantiates an initializer from a configuration dictionary.

#### Example:

    initializer = RandomUniform(-1, 1)
    config = initializer.get_config()
    initializer = RandomUniform.from_config(config)

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| Args ||
|---|---|
| `config` | A Python dictionary. It will typically be the output of `get_config`. |

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| Returns ||
|---|---|
| An Initializer instance. ||

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### `get_config`

[View source](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/init_ops_v2.py#L68-L74)

    get_config()

Returns the configuration of the initializer as a JSON-serializable dict.

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| Returns ||
|---|---|
| A JSON-serializable Python dict. ||

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### `__call__`

[View source](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/init_ops_v2.py#L135-L154)

    __call__(
        shape,
        dtype=https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes#float32,
        **kwargs
    )

Returns a tensor object initialized as specified by the initializer.

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| Args ||
|---|---|
| `shape` | Shape of the tensor. |
| `dtype` | Optional dtype of the tensor. Only numeric or boolean dtypes are supported. |
| `**kwargs` | Additional keyword arguments. |

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| Raises ||
|---|---|
| `ValuesError` | If the dtype is not numeric or boolean. |

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