Comments (1)
vsumm
commented on July 27, 2024
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: "lstm.final.0.weight", "lstm.final.0.bias", "lstm.final.1.weight", "lstm.final.1.bias", "lstm.final.1.running_mean", "lstm.final.1.running_var", "lstm.final.1.num_batches_tracked", "lstm.final.3.weight", "lstm.final.3.bias"
Did you solve this issue ???
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Related Issues (20)
- Hello Mr.Linder-Norén
- list index out of range when start training HOT 1
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- train.py: error: ambiguous option: --img_dim could match --img_dim_H, --img_dim_W HOT 1
- when I try to use your pretrained model，it give some error.... HOT 4
- size mismatch for output_layers.3.bias: copying a param with shape torch.Size([101]) from checkpoint, the shape in current model is torch.Size([105]). HOT 1
- ValueError: not enough values to unpack (expected 2, got 1)
- Softmax in Model Output, then using CE Loss HOT 1
- Running test_on_video.py encountered "unexpected keyword argument 'input_shape'" error HOT 12
- Error: Regarding Loading Pre-Trained Weights HOT 3
- how long it will cost on cpu machine when predict one video.
- Paper link for this repository!!! HOT 1
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- test error
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