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I would like to use the following network for my project, but I am not sure how exactly to do it.
```
actor
┌─────┐ ┌─────────┐ ┌…
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### 🐛 Describe the bug
```torch.onnx.errors.SymbolicValueError: ONNX symbolic expected the output of `%2212 : Tensor = onnx::Squeeze(%2186, %2211), scope: SimpleLSTMNet::/torch.ao.nn.quantized.modu…
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Thanks for your contributing such a great work.
It seems that **run_bi-lstm-cnn-crf3.sh** is different from the official **run_bi-lstm-cnn-crf.sh**, and the former is missing in the branch. Could you…
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Checked examples are tested to be working with MXNet backend
Not supported examples have clear error message specifying the exact functionality MXNet does not support yet
- [x] addition_rnn.py
…
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Test score: [0.0033576900771773513, 0.040304677094934176, -0.991403818172736]
Save model to disk
LSTM MAE:27.375218
LSTM RMSE:39.147602
SAE MAE:27.989336
SAE RMSE:39.367166
CNN_LSTM_Final MAE:27…
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Add Cnn or DenseLayer, LSTM cannot use TruncatedBPTT，Add Cnn or DenseLayer, LSTM cannot use TruncatedBPTT, my network structure is as follows：
final GraphBuilder graphBuilder = builder.graphBuilder()…
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Spherical approaches to convolutions solve problems such as 360 video or global geographical data. A spherical implementation can be found at https://openreview.net/pdf?id=Hkbd5xZRb.
Because convol…
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- CNN
- RNN
- LSTM
- LSTM + Attention
- Transformer
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@yeliang2258
您好 车牌识别的文字识别 ctc + cnn模型转换出现多个节点不支持
There's 13 ops are not supported yet
=========== gru_unit ===========
=========== less_than ===========
=========== logical_not ===========
==…
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### 🐛 Describe the bug
import torch.nn as nn
import torch
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
class CRNN(nn.Module):
def __init__(self, img_channel…