a72a5b05d8edcde1e1bbb808ed26d5c858b112d5,gluon/models/dpn.py,,_test,#,587

Before Change

        assert (model != dpn107 or weight_count == 86917800)
        assert (model != dpn131 or weight_count == 79254504)

        x = Variable(torch.randn(1, 3, 224, 224))
        y = net(x)
        assert (tuple(y.size()) == (1, 1000))

After Change

        ctx = mx.cpu()
        if not pretrained:
            net.initialize(ctx=ctx)

        net_params = net.collect_params()
        weight_count = 0
        for param in net_params.values():

Instances