I got an error when run main_predict.py after running main.py successful about da-rnn HOT 3 OPEN

对比main和main_predict的predict函数，看里面的1和0对着改一下就好了。

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Hey I have this same issue, how i can solve this ? I don't understand previous answer :(
My error
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Traceback (most recent call last):

File "", line 1, in
runfile('C:/Users/jezus/Downloads/Sieci/Sars2020/Script_version/da-rnn-master/main_predict.py', wdir='C:/Users/jezus/Downloads/Sieci/Sars2020/Script_version/da-rnn-master')

File "C:\Users\jezus\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 827, in runfile
execfile(filename, namespace)

File "C:\Users\jezus\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)

File "C:/Users/jezus/Downloads/Sieci/Sars2020/Script_version/da-rnn-master/main_predict.py", line 74, in
final_y_pred = predict(enc, dec, data, **da_rnn_kwargs)

File "C:/Users/jezus/Downloads/Sieci/Sars2020/Script_version/da-rnn-master/main_predict.py", line 49, in predict
y_pred[y_slc] = decoder(input_encoded, y_history).cpu().data

File "C:\Users\jezus\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 541, in call
result = self.forward(*input, **kwargs)

File "C:\Users\jezus\Downloads\Sieci\Sars2020\Script_version\da-rnn-master\modules.py", line 107, in forward
y_tilde = self.fc(torch.cat((context, y_history[:, t]), dim=1)) # (batch_size, out_size)

File "C:\Users\jezus\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 541, in call
result = self.forward(*input, **kwargs)

File "C:\Users\jezus\Anaconda3\lib\site-packages\torch\nn\modules\linear.py", line 87, in forward
return F.linear(input, self.weight, self.bias)

File "C:\Users\jezus\Anaconda3\lib\site-packages\torch\nn\functional.py", line 1370, in linear
ret = torch.addmm(bias, input, weight.t())

RuntimeError: size mismatch, m1: [128 x 40624], m2: [65 x 1] at C:/w/1/s/tmp_conda_3.7_104508/conda/conda-bld/pytorch_1572950778684/work/aten/src\THC/generic/THCTensorMathBlas.cu:290

###########################################################

from da-rnn.

Ok I solved this:
In main_predict.py in function predict()
change the shape from 0 to 1 in y_history t_dat.targs.shape[0] -> t_dat.targs.shape[1]

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