megengine.Parameter

class Parameter(data, dtype=None, device=None, is_const=False, no_cache=False, name=None, format='default')

A kind of Tensor that is to be considered a module parameter.

Note

Operations happened on Parameter usually return a Tensor instead of Parameter. For example, with a Parameter x, x.reshape/to/sum/... will result into a Tensor. Any operations between Parameter and Tensor will have Tensor as outputs.

Attributes

T	alias of transpose.
device	Returns a string represents the device a Tensor storaged on.
dmap_callback	callback for device mapping, see load.
dtype	Returns a numpy.dtype object represents the data type of a Tensor.
format	Returns a string represents the memory format of a Tensor.
grad	gradient of this tensor, see autodiff.
name	Returns a string represents the name of a Tensor.
ndim	Returns the number of dimensions of self Tensor.
qparams	Returns a QParams object containing quantization params of a Tensor.
requires_grad	Returns a bool indicates whether the Tensor requires gradient.
shape	Returns a tuple or a Tensor represents tensor dimensions.
size	Returns the size of the self Tensor.

Methods

astype(dtype)	Returns a Tensor with the same data and number of elements with the specified dtype.
detach()	Returns a new Tensor, detached from the current graph.
flatten([start_axis, end_axis])	See flatten.
graph
item(*args)	Returns the value of this Tensor as a standard Python numbers.Number.
max([axis, keepdims])	See max.
mean([axis, keepdims])	See mean.
min([axis, keepdims])	See min.
numpy()	Returns self Tensor as a numpy.ndarray.
prod([axis, keepdims])	See prod.
reset_zero()	Deprecated since version 1.0.
reshape(*args)	See reshape.
set_value(value)	Deprecated since version 1.0.
sum([axis, keepdims])	See sum.
to(device, *[, _borrow])	Copy self Tensor to specified device.
tolist()	Returns the tensor as a (nested) list.
transpose(*args)	See transpose.
value_id
var

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