skipnet_face
【摘要】
"""based on MobileNet implementation fromhttps://github.com/rwightman/pytorch-image-models"""import time import torchimport torch.nn as nnimport math def _make_divis...
"""
based on MobileNet implementation from
https://github.com/rwightman/pytorch-image-models
"""
import time
import torch
import torch.nn as nn
import math
def _make_divisible(v, divisor, min_value=None):
"""
Ensures that all layers have a channel number that is divisible by 8
function is taken from the original tf repo:
https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet/mobilenet.py
"""
if min_value is None:
min_value = divisor
new_v = max(min_value, int(v + divisor / 2) // divisor * divisor)
# Make sure that round down does not go down by more than 10%.
if new_v < 0.9 * v:
new_v += divisor
return new_v
class h_sigmoid(nn.Module):
def __init__(self, inplace=True):
super(h_sigmoid, self).__init__()
self.relu = nn.ReLU6(inplace=inplace)
def forwa
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原文链接:blog.csdn.net/jacke121/article/details/119178358
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