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Hi,
Thanks for your code again. I changed the number of layers from 3 to 1 for my data. and when I want to test the retrained model, I got this error. "RuntimeError: Error(s) in loading state_dict fo…
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I met this error when building the graph, and this is my code below for the encoding layer copied from stackoverflow, but it does not work for me...
```
def encoding_layer(rnn_inputs, rnn_size, nu…
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The `LMU` layer currently accepts `return_sequences` and passes that through to `tf.keras.layers.RNN` with the created `LMUCell`. However, there are a number of other RNN flags that are ignored (https…
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When I import tflearn, there have problem like that:
import tflearn
Traceback (most recent call last):
File "", line 1, in
import tflearn
File "/home/lt/anaconda3/lib/python3.5/s…
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**System information**.
- Have I written custom code (as opposed to using a stock example script provided in Keras): yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): CentOS
- TensorFl…
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I tried using ConvGRU but I'm getting runtime error
``` python
import numpy as np
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D
from seya.layers.conv_rnn i…
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Hi, I try to run the train.py on METR-LA. Due to the TensorFlow version, I use the tf_upgrad_v2 to migrate the model.py to TF 2. X.
Specifically,
(1) line 76 'tf.nn.rnn_cell.GRUCell' to 'tf.compat.v…
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So far, calcDerivative of rnn variant layers are running under the premise that calcGradient runs first. (For more details gradients of hidden states are calculated in calcGradient.)
To support disab…
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For now only 1 input/output is supported for rnn, lstm, gru layer.
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**python train.py**
hyper-patameters:
HParams(vocab_size=7024, pad_idx=0, bos_idx=3, emb_size=256, hidden_size=512, context_size=512, latent_size=256, factor_emb_size=64, n_class1=3, n_class2=2, k…