chainer.utils.WalkerAlias¶
-
class
chainer.utils.
WalkerAlias
(probs)[source]¶ Implementation of Walker’s alias method.
This method generates a random sample from given probabilities \(p_1, \dots, p_n\) in \(O(1)\) time. It is more efficient than
choice()
. This class works on both CPU and GPU.- Parameters
probs (float list) – Probabilities of entries. They are normalized with sum(probs).
See: Wikipedia article
Methods
-
device_resident_accept
(visitor)[source]¶ Applies the visitor to all the device objects in this instance.
- Parameters
visitor (DeviceResidentsVisitor) – Visitor.
This method should be overridden if the concrete class has custom sub-hierarchy of device resident objects.
-
from_chx
()[source]¶ Converts parameter variables and persistent values from ChainerX to NumPy/CuPy devices without any copy.
-
sample
(shape)[source]¶ Generates a random sample based on given probabilities.
- Parameters
shape (tuple of int) – Shape of a return value.
- Returns
Returns a generated array with the given shape. If a sampler is in CPU mode the return value is a
numpy.ndarray
object, and if it is in GPU mode the return value is acupy.ndarray
object.
-
to_chx
()[source]¶ Converts parameter variables and persistent values to ChainerX without any copy.
This method does not handle non-registered attributes. If some of such attributes must be copied to ChainerX, the link implementation must override this method to do so.
Returns: self
-
to_cpu
()[source]¶ Copies parameter variables and persistent values to CPU.
This method does not handle non-registered attributes. If some of such attributes must be copied to CPU, the link implementation should override
device_resident_accept()
to do so.Returns: self
-
to_device
(device)[source]¶ Copies parameter variables and persistent values to the specified device.
This method does not handle non-registered attributes. If some of such attributes must be copied to the device, the link implementation must override this method to do so.
- Parameters
device – Target device specifier. See
get_device()
for available values.
Returns: self
-
to_gpu
(device=None)[source]¶ Copies parameter variables and persistent values to GPU.
This method does not handle non-registered attributes. If some of such attributes must be copied to GPU, the link implementation must override
device_resident_accept()
to do so.- Parameters
device – Target device specifier. If omitted, the current device is used.
Returns: self
-
__eq__
()¶ Return self==value.
-
__ne__
()¶ Return self!=value.
-
__lt__
()¶ Return self<value.
-
__le__
()¶ Return self<=value.
-
__gt__
()¶ Return self>value.
-
__ge__
()¶ Return self>=value.
Attributes
-
use_gpu
¶