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Initializer that generates tensors initialized to 1.
Inherits From: Initializer
__call__
__call__(
shape, dtype=tf.dtypes.float32
)
Returns a tensor object initialized as specified by the initializer.
shape
: Shape of the tensor.dtype
: Optional dtype of the tensor. Only numeric or boolean dtypes are
supported.ValuesError
: If the dtype is not numeric or boolean.from_config
@classmethod
from_config(
config
)
Instantiates an initializer from a configuration dictionary.
initializer = RandomUniform(-1, 1)
config = initializer.get_config()
initializer = RandomUniform.from_config(config)
config
: A Python dictionary.
It will typically be the output of get_config
.An Initializer instance.
get_config
get_config()
Returns the configuration of the initializer as a JSON-serializable dict.
A JSON-serializable Python dict.