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 ]]]]