megengine.Parameter

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

基类：megengine.tensor.Tensor

一类表示模块参数的张量。

方法

__init__(data[, dtype, device, is_const, …])	初始化方法。
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()	See flatten.
item(*args)	Returns the value of this Tensor as a standard Python numbers.Number.
max([axis, keepdims])	Returns the max value of each row of the input tensor in the given dimension axis.
mean([axis, keepdims])	Returns the mean value of each row of the input tensor in the given dimension axis.
min([axis, keepdims])	Returns the min value of each row of the input tensor in the given dimension axis.
numpy()	Returns self Tensor as a numpy.ndarray.
prod([axis, keepdims])	Returns the product of each row of the input tensor in the given dimension axis.
reset_zero()	1.0 版后已移除.
reshape(*args)	See reshape.
set_value(value)	1.0 版后已移除.
sum([axis, keepdims])	Returns the sum of each row of the input tensor in the given dimension axis.
to(device)	Copy self Tensor to specified device.
tolist()	Returns the tensor as a (nested) list.
transpose(*args)	See transpose.

属性。

T	alias of transpose.
c_name
device	Returns a string represents the device a Tensor storaged on.
dmap_callback
dtype	Returns a numpy.dtype object represents the data type of a Tensor.
grad
name
ndim	返回自身 Tensor 的维数。
qparams	Returns a QParams object containing quantization params of a Tensor.
requires_grad
shape	Returns a tuple or a Tensor represents tensor dimensions.
size	Returns the size of the self Tensor.

megengine.tensor megengine.Tensor.dtype