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Hello, author.
After I entered the command ‘python ./main/train.py’.then,without any error message, the ccode was stopped running . The terminal output the following:
===============================…
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pytorch version1.0.1
libtorch version 1.0.1
```
...
self.lstm_1 = nn.LSTM(512 * 8, 100, 1, bidirectional=False)
...
traced_script_module = torch.jit.trace(net, img)
traced_script_module.sav…
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If I try to train the model on Visual Genome, this error occurs.
(tensorflow 1.2.1)
Traceback (most recent call last):
File "./exp-visgeno-rel/exp_train_visgeno_attbilstm_strong.py", line 65,…
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Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
zmaas updated
2 weeks ago
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Hi team. thanks for great work.
I'm currently trying to construct seq2seq model with Bahdanau style, featured by bidirectional encoder - decoder using GRU cell.
This repository, however, doesn't see…
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### 🐛 Describe the bug
```
class Basic(torch.nn.Module):
def __init__(self):
super().__init__()
self.lstm = nn.LSTM(320,64,num_layers=1, bidirectional=False, batch_first=Tru…
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Hi, I am wondering how to implement bidirectional RNNs, instead of reversing the sequence beforehand,
by internally changing the order to feed.
take LSTM as example, can one just modify `x[{{}, t}]` …
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Hello,
I have used
self.intra_rnn = keras.layers.Bidirectional(keras.layers.CuDNNLSTM(units=self.numUnits//2, return_sequences=True))
and
self.inter_rnn = keras.layers.CuDNNLSTM(units=self.numUnit…
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Are you want to implement a bidirectional LSTM in the Model.py file between line 62 to 64? If the answer is YES. Here are a mistake of the Bi-LTSM's implementation.Did you forget to reverse the last_1…
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Hi, I got a error when I tried to execute create_model([6],bidirectional=True).
"List index out of range"
the problem came to line
temp = concatenate([bi_encoder_states[i],bi_encoder_stat…