Method log

encoder.py:258–270

(self, L, step, log_freq)

            tie_weights(src=source.convs[i], trg=self.convs[i])

    def log(self, L, step, log_freq):
        if step % log_freq != 0:
            return

        for k, v in self.outputs.items():
            L.log_histogram('train_encoder/%s_hist' % k, v, step)
            if len(v.shape) > 2:
                L.log_image('train_encoder/%s_img' % k, v[0], step)

        for i in range(self.num_layers):
            L.log_param('train_encoder/conv%s' % (i + 1), self.convs[i], step)
        L.log_param('train_encoder/fc', self.fc, step)
        L.log_param('train_encoder/ln', self.ln, step)


_AVAILABLE_ENCODERS = {'pixel': PixelEncoder, 'identity': IdentityEncoder, 'pixel_delta2d': PixelDelta2DEncoder}