ptrendx commented on issue #17800: _MinusScalar type <class 'mxnet.ndarray.ndarray.NDArray'> not supported` ? URL: https://github.com/apache/incubator-mxnet/issues/17800#issuecomment-606925771 @aGiant You are still using `self.min_v` and `self.max_v` in your `hybrid_forward`. Are you sure you have them set as parameters? Here is a simple working example of using parameters: ```python class Test(gluon.HybridBlock): def __init__(self, **kwargs): super(Test, self).__init__(**kwargs) with self.name_scope(): self.x_min = self.params.get('scales_min', shape=(1,), init=mx.init.Constant(5), differentiable=False) self.x_max = self.params.get('scales_max', shape=(1,), init=mx.init.Constant(10), differentiable=False) def hybrid_forward(self, F, x, x_min, x_max): return (x * x_min) + x_max t = Test() t.initialize() t(mx.nd.ones((1,))) ``` ```python [15.] <NDArray 1 @cpu(0)> ```
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