mindspore.nn.LRN

class mindspore.nn.LRN(depth_radius=5, bias=1.0, alpha=1.0, beta=0.5, norm_region='ACROSS_CHANNELS')[source]

Local Response Normalization.

Warning

LRN is deprecated on Ascend due to potential accuracy problem. It’s recommended to use other normalization methods, e.g. mindspore.nn.BatchNorm1d , mindspore.nn.BatchNorm2d , mindspore.nn.BatchNorm3d.

Refer to mindspore.ops.lrn() for more details.

Supported Platforms:: GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, nn
>>> import numpy as np
>>> input_x = Tensor(np.array([[[[0.1], [0.2]],
...                       [[0.3], [0.4]]]]), mindspore.float32)
>>> output = nn.LRN()(input_x)
>>> print(output)
[[[[0.09534626]
   [0.1825742 ]]
  [[0.2860388 ]
   [0.3651484 ]]]]