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

本文共 1731 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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