def uniform(shape, dtype=default_override_or(np.float32), low=0.0, high=1.0, seed=auto_select, name=''):
"""uniform(shape, dtype=default_override_or(np.float32), low=0.0, high=1.0, seed=auto_select, name='')
Generates samples from the uniform distribution in the interval [`low`,`high`).
Args:
shape (tuple): shape of the output (entries are independent random draws)
dtype (np.float32 or np.float64): data type. Default is np.float32.
low (float): lower end of the range of the random numbers
high (float): upper end of the range of the random numbers
seed (int): pseudo random number generator seed (default: automatically select a unique seed)
name (str, optional): the name of the Function instance in the network
Returns:
:class:`~cntk.ops.functions.Function`
Examples:
>>> u = C.random.uniform((2,3), seed=98052)
>>> u.eval(device=C.cpu()) # explicitly setting cpu because this is tested on multiple platforms; leave it unspecified in your code
array([[ 0.931785, 0.814722, 0.479606],
[ 0.937468, 0.004351, 0.185131]], dtype=float32)
"""
from cntk.cntk_py import uniform_random
shape, dtype = sanitize_random_args(shape, dtype)
return uniform_random(shape, dtype, low, high, seed, name)
def uniform(shape,
dtype=default_override_or(np.float32),
low=0.0,
high=1.0,
seed=auto_select,
name=''):
"""uniform(shape, dtype=default_override_or(np.float32), low=0.0, high=1.0, seed=auto_select, name='')
Generates samples from the uniform distribution in the interval [`low`,`high`).
Args:
shape (tuple): shape of the output (entries are independent random draws)
dtype (np.float32 or np.float64): data type. Default is np.float32.
low (float): lower end of the range of the random numbers
high (float): upper end of the range of the random numbers
seed (int): pseudo random number generator seed (default: automatically select a unique seed)
name (str, optional): the name of the Function instance in the network
Returns:
:class:`~cntk.ops.functions.Function`
Examples:
>>> u = C.random.uniform((2,3), seed=98052)
>>> u.eval(device=C.cpu()) # explicitly setting cpu because this is tested on multiple platforms; leave it unspecified in your code
array([[ 0.931785, 0.814722, 0.479606],
[ 0.937468, 0.004351, 0.185131]], dtype=float32)
"""
from cntk.cntk_py import uniform_random
shape, dtype = sanitize_random_args(shape, dtype)
return uniform_random(shape, dtype, low, high, seed, name)