MapLRN¶
Description¶
This module implements the operation of intra-channel local response normalization.
Initializing¶
def __init__(self, N=5, alpha=1e-4, beta=0.75, K=2.0, name=None):
Parameters
| Parameter | Allowed types | Description | Default |
|---|---|---|---|
| N | int | Length of the side of the square area to normalize | 5 |
| alpha | float | Bias | 1e-4 |
| beta | float | Scale parameter | 0.75 |
| K | float | Incremental coefficient | 2.0 |
| name | str | Layer name | None |
Explanations
-
Examples¶
Necessary imports.
import numpy as np
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Modules import MapLRN
Info
gpuarray необходим для правильного размещения тензора на GPU
batchsize, maps, h, w = 1, 1, 10, 10
data = gpuarray.to_gpu(np.random.randn(batchsize, maps, h, w).astype(np.float32))
lrn = MapLRN()
lrn(data)