convolution.py 文件源码

def recollect(self, w):
        if w is None:
            self.w = w
            return
        idx = self.keep_idx
        k = w['kernel']
        b = w['biases']
        self.w['kernel'] = np.take(k, idx, 3) 
        self.w['biases'] = np.take(b, idx)
        if self.batch_norm:
            m = w['moving_mean']
            v = w['moving_variance']
            g = w['gamma']
            self.w['moving_mean'] = np.take(m, idx)
            self.w['moving_variance'] = np.take(v, idx)
            self.w['gamma'] = np.take(g, idx)