smartwell opened a new issue #15338: About inference time problem URL: https://github.com/apache/incubator-mxnet/issues/15338 i want to konw my code is correct ? ``` class Basecnn(nn.HybridBlock): def __init__(self, **kwargs): super(Basecnn, self).__init__(**kwargs) self.block = nn.HybridSequential() self.block.add( nn.Conv2D(10, 3, 2, 1), nn.BatchNorm(), nn.LeakyReLU(0.25), # nn.Conv2DTranspose(32, 3, 2, 1, 1), nn.Dense(5), ) def hybrid_forward(self,F, x): return self.block(x) data = mx.sym.Variable(name='data') net = Basecnn() net.hybridize() sym = net(data) data_names = ['data'] ctx = mx.gpu() shape = [1, 3, 512, 512] mod = mx.mod.Module(symbol=sym, data_names=data_names, context=ctx, label_names=None) mod.bind(for_training=False, data_shapes=[('data', tuple(shape))], label_shapes=None) mod.init_params() # mod.set_params(arg_params=arg, aux_params=aux,) randx = np.random.randint(0, 1, (1, 3, 512, 512)) input_nd = mx.ndarray.array(randx, ctx) cc = mod.predict(input_nd).asnumpy() t0 = time.time() for i in range(1000): mod.predict(input_nd) prob = mod.get_outputs()[0].asnumpy() print('fps: ', 1000/(time.time()-t0)) ``` my computer GTX1080ti, i7-7700k, my fps is fps: 268.5 but in Pytorch, fps is 1000+
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