set required_grad=True when init basecam class #443
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KKQanT
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Hi and sorry for the late reply. Maybe it makes sense to return the requires_grad to the initial state it was, when finishing? Because this would alter the state of the model, and could affect training. |
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I encountered the error
AxisError: axis 2 is out of bounds for array of dimension 0, which was caused by the value ofgrads(the input of the functionget_cam_weightsin every CAM class) being None. This occurred because no gradient was able to compute, due to the fact that model.required_grad was set to false during the training process by the user.