vsumm

> RuntimeError: Error(s) in loading state_dict for ConvLSTM: Missing key(s) in state_dict: "lstm.lstm.weight_ih_l0_reverse", "lstm.lstm.weight_hh_l0_reverse", "lstm.lstm.bias_ih_l0_reverse", "lstm.lstm.bias_hh_l0_reverse", "output_layers.0.weight", "output_layers.0.bias", "output_layers.1.weight", "output_layers.1.bias", "output_layers.1.running_mean", "output_layers.1.running_var", "output_layers.3.weight", "output_layers.3.bias", "attention_layer.weight", "attention_layer.bias". Unexpected key(s) in state_dict:...

> model = C3D(num_classes=101, pretrained=True) > model.to(device) > model.eval() @skyqwe123 Thanks for giving an idea to resolve the state_dict error. you cant use `C3D` directly instead of use ``` model...

Hai @wangpanpan666 @r1c7 after completion of training on how to test model ??? can anyone provide an inference code it's very useful for me Thanks