#######################################################
# Copyright (c) 2015, ArrayFire
# All rights reserved.
#
# This file is distributed under 3-clause BSD license.
# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
########################################################
"""
Random engine class and functions to generate random numbers.
"""
from .library import *
from .array import *
import numbers
[docs]class Random_Engine(object):
"""
Class to handle random number generator engines.
Parameters
----------
engine_type : optional: RANDOME_ENGINE. default: RANDOM_ENGINE.PHILOX
- Specifies the type of random engine to be created. Can be one of:
- RANDOM_ENGINE.PHILOX_4X32_10
- RANDOM_ENGINE.THREEFRY_2X32_16
- RANDOM_ENGINE.MERSENNE_GP11213
- RANDOM_ENGINE.PHILOX (same as RANDOM_ENGINE.PHILOX_4X32_10)
- RANDOM_ENGINE.THREEFRY (same as RANDOM_ENGINE.THREEFRY_2X32_16)
- RANDOM_ENGINE.DEFAULT
- Not used if engine is not None
seed : optional int. default: 0
- Specifies the seed for the random engine
- Not used if engine is not None
engine : optional ctypes.c_void_p. default: None.
- Used a handle created by the C api to create the Random_Engine.
"""
def __init__(self, engine_type = RANDOM_ENGINE.PHILOX, seed = 0, engine = None):
if (engine is None):
self.engine = c_void_ptr_t(0)
safe_call(backend.get().af_create_random_engine(c_pointer(self.engine), engine_type.value, c_longlong_t(seed)))
else:
self.engine = engine
def __del__(self):
safe_call(backend.get().af_release_random_engine(self.engine))
[docs] def set_type(self, engine_type):
"""
Set the type of the random engine.
"""
safe_call(backend.get().af_random_engine_set_type(c_pointer(self.engine), engine_type.value))
[docs] def get_type(self):
"""
Get the type of the random engine.
"""
__to_random_engine_type = [RANDOM_ENGINE.PHILOX_4X32_10,
RANDOM_ENGINE.THREEFRY_2X32_16,
RANDOM_ENGINE.MERSENNE_GP11213]
rty = c_int_t(RANDOM_ENGINE.PHILOX.value)
safe_call(backend.get().af_random_engine_get_type(c_pointer(rty), self.engine))
return __to_random_engine_type[rty]
[docs] def set_seed(self, seed):
"""
Set the seed for the random engine.
"""
safe_call(backend.get().af_random_engine_set_seed(c_pointer(self.engine), c_longlong_t(seed)))
[docs] def get_seed(self):
"""
Get the seed for the random engine.
"""
seed = c_longlong_t(0)
safe_call(backend.get().af_random_engine_get_seed(c_pointer(seed), self.engine))
return seed.value
[docs]def randu(d0, d1=None, d2=None, d3=None, dtype=Dtype.f32, engine=None):
"""
Create a multi dimensional array containing values from a uniform distribution.
Parameters
----------
d0 : int.
Length of first dimension.
d1 : optional: int. default: None.
Length of second dimension.
d2 : optional: int. default: None.
Length of third dimension.
d3 : optional: int. default: None.
Length of fourth dimension.
dtype : optional: af.Dtype. default: af.Dtype.f32.
Data type of the array.
engine : optional: Random_Engine. default: None.
If engine is None, uses a default engine created by arrayfire.
Returns
-------
out : af.Array
Multi dimensional array whose elements are sampled uniformly between [0, 1].
- If d1 is None, `out` is 1D of size (d0,).
- If d1 is not None and d2 is None, `out` is 2D of size (d0, d1).
- If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2).
- If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3).
"""
out = Array()
dims = dim4(d0, d1, d2, d3)
if engine is None:
safe_call(backend.get().af_randu(c_pointer(out.arr), 4, c_pointer(dims), dtype.value))
else:
safe_call(backend.get().af_random_uniform(c_pointer(out.arr), 4, c_pointer(dims), dtype.value, engine.engine))
return out
[docs]def randn(d0, d1=None, d2=None, d3=None, dtype=Dtype.f32, engine=None):
"""
Create a multi dimensional array containing values from a normal distribution.
Parameters
----------
d0 : int.
Length of first dimension.
d1 : optional: int. default: None.
Length of second dimension.
d2 : optional: int. default: None.
Length of third dimension.
d3 : optional: int. default: None.
Length of fourth dimension.
dtype : optional: af.Dtype. default: af.Dtype.f32.
Data type of the array.
engine : optional: Random_Engine. default: None.
If engine is None, uses a default engine created by arrayfire.
Returns
-------
out : af.Array
Multi dimensional array whose elements are sampled from a normal distribution with mean 0 and sigma of 1.
- If d1 is None, `out` is 1D of size (d0,).
- If d1 is not None and d2 is None, `out` is 2D of size (d0, d1).
- If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2).
- If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3).
"""
out = Array()
dims = dim4(d0, d1, d2, d3)
if engine is None:
safe_call(backend.get().af_randn(c_pointer(out.arr), 4, c_pointer(dims), dtype.value))
else:
safe_call(backend.get().af_random_normal(c_pointer(out.arr), 4, c_pointer(dims), dtype.value, engine.engine))
return out
[docs]def set_seed(seed=0):
"""
Set the seed for the random number generator.
Parameters
----------
seed: int.
Seed for the random number generator
"""
safe_call(backend.get().af_set_seed(c_ulonglong_t(seed)))
[docs]def get_seed():
"""
Get the seed for the random number generator.
Returns
-------
seed: int.
Seed for the random number generator
"""
seed = c_ulonglong_t(0)
safe_call(backend.get().af_get_seed(c_pointer(seed)))
return seed.value
[docs]def set_default_random_engine_type(engine_type):
"""
Set random engine type for default random engine.
Parameters
----------
engine_type : RANDOME_ENGINE.
- Specifies the type of random engine to be created. Can be one of:
- RANDOM_ENGINE.PHILOX_4X32_10
- RANDOM_ENGINE.THREEFRY_2X32_16
- RANDOM_ENGINE.MERSENNE_GP11213
- RANDOM_ENGINE.PHILOX (same as RANDOM_ENGINE.PHILOX_4X32_10)
- RANDOM_ENGINE.THREEFRY (same as RANDOM_ENGINE.THREEFRY_2X32_16)
- RANDOM_ENGINE.DEFAULT
Note
----
This only affects randu and randn when a random engine is not specified.
"""
safe_call(backend.get().af_set_default_random_engine_type(c_pointer(self.engine), engine_type.value))
[docs]def get_default_random_engine():
"""
Get the default random engine
Returns
-------
The default random engine used by randu and randn
"""
engine = c_void_ptr_t(0)
default_engine = c_void_ptr_t(0)
safe_call(backend.get().af_get_default_random_engine(c_pointer(default_engine)))
safe_call(backend.get().af_retain_random_engine(c_pointer(engine), default_engine))
return Random_Engine(engine=engine)
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