82a059d89d5f5ebc77c6a3f0b8ac4072a3979104,tensorforce/core/networks/layer.py,Nonlinearity,__init__,#Nonlinearity#Any#Any#Any#Any#Any#Any#Any#,201

Before Change

            self.min = float(min)                    

        if alpha is not None:
            self.alpha = float(alpha)                       

        if beta == "learn":
            self.beta_learn = True

After Change

            padding: Pooling padding, one of "VALID" or "SAME".
        
        self.pooling_type = pooling_type
        if isinstance(window, int):
            self.window = (1, window, window, 1)
        elif len(window) == 2:
            self.window = (1, window[0], window[1], 1)
        else:
            raise TensorForceError("Invalid window {} for pool2d layer, must be of size 2".format(window))
        if isinstance(stride, int):
            self.stride = (1, stride, stride, 1)
        elif len(window) == 2:
            self.stride = (1, stride[0], stride[1], 1)

Instances