HyperGP.tensor.full#
- full(shape, fill_value, dtype=None, device_id=0)[source]#
Generate a new array with given shape and dtype, filled with given ‘fill_value’
- Parameters:
shape (tuple) – the shape of the new ‘Tensor’ array
fill_value (float) – The value to be filled in the new array
dtype – The desired dtype of the new ‘Tensor’ array. Default is HyperGP.float64
device_id (int) – The id of a device in which a new array to be loaded. Default is the first workable device id.
- Returns:
ret(boolean)
Examples
import modules
>>> import numpy as np >>> from HyperGP import Tensor >>> import time
array initialization
>>> x1 = HyperGP.full((500, 100000), fill_value=0.24) >>> print("x1: ", x1)