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感谢您参与 X2Paddle 社区! 问题模版为了 X2Paddle 能更好的迭代,例如新功能发布、 RoadMaps 和错误跟踪. :smile_cat:
## 问题描述
使用onnx2paddle将onnx的BiLSTM模型转换为paddle模型报错,转换失败。
- 错误信息
### 使用onnx2paddle转化模型报错:
原ONNX模型转化时opset…
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when i tried to train rnn with the command
python main.py --network_type rnn --dataset ptb --controller_optim adam --controller_lr 0.00035 \
--shared_optim sgd --shared_lr 20.0 --ent…
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Basel I had a hard time understanding the vanishing gradient problem so I decided to take Geoffrey Hinton's course on coursera. So it's going to take a while but it's proving to be very helpful for my…
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I tried to evaluate the LSTM model, but the error message "nn/Sequencer.lua:90: attempt to index field 'tableoutput' (a nil value) " always shows up.
[net] loading model ../uni_image_np_50.t7
nn.…
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In cuda-decoder, it seems that if a rnn model is used, the NnetComputer will re-initialized for each chunk. That's ok for non-recurrent network . But for recurrent network , it means the history infor…
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Hello again:)
I truly appreciate your help and am very sorry taking your time.
your input toward this error will be very helpful to me.
the error raises here while it wanted to concatenate:
`rnn…
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The idea is two actions (L vs. R), where choosing that action has different probabilities of reward (p1=0.8 and p2=0.2), and those probabilities flip every 5 trials.
This is almost the same as Scha…
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If I combine FCN with your crfasrnn, there is a problem.
In crf_rnn_layer.py, 44 column, all_ones = np.ones(unaries_shape, dtype=np.float32), because there is no definite batchzie in model defining p…
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1. The default batch size is 16 which is the root cause of taking too much time to train the data.
when I changed the batch size as 512, the convergence is much quicker.
2. I have adjusted your code…
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Hi, thank you for sharing your code!
But, I can not run it on GPU.
The cmd line like python main.py --device 'cuda:0',
and the Traceback message likes:
Training configs: Namespace(batch_size=32, …