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ShuffleNetV2(torch.jit.ScriptModule)
阅读量:107 次
发布时间:2019-02-26

本文共 1770 字,大约阅读时间需要 5 分钟。

 

        #coding=utf-8
from collections import OrderedDict
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
import timedef _make_divisible(v, divisor, min_value=None):
"""This function is taken from the original tf repo.
It ensures that all layers have a channel number that is divisible by 8
It can be seen here: https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet/mobilenet.py
:param v:
:param divisor:
:param min_value: (optional)
:return:
"""
if min_value is None:
min_value = divisor
new_v = max(min_value, int(v + divisor / 2.0) // 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 SELayer(nn.Module):
def __init__(self, channel, reduction=16):
# ??????
super(SELayer, self).__init__()
# ?????????
self.channel = channel
# ????????
self.reduction = reduction
def forward(self, x):
# ??????
# ??x
# ... (??????)
# ????????
return x
def __repr__(self):
# __repr__??
return f"SELayer({self.channel}d, reduction={self.reduction})"

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