hi,@jazzsaxmafia , I just don't know where to find 'model-8', and the issue is

"InvalidArgumentError: Unsuccessful TensorSliceReader constructor: Failed to get matching files on ./model/model-8: Not found: ./model"

when I run train() in model_tensorflow.py, there would be a DataLossError: unable to find model-8. so what's the model-8? a pre-trained model of tensorflow? How can i get it.

File "/home/hzhou/anaconda3/envs/py35/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2961, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in runfile('/home/hzhou/code_More/show_attend_and_tell_p1_2/make_flickr_dataset.py', wdir='/home/hzhou/code_More/show_attend_and_tell_p1_2') File "/home/hzhou/zhoueheng/pycharm-2018.2.4/helpers/pydev/_pydev_bundle/pydev_umd.py", line 197, in runfile pydev_imports.execfile(filename, global_vars, local_vars) # execute the script File "/home/hzhou/zhoueheng/pycharm-2018.2.4/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/home/hzhou/code_More/show_attend_and_tell_p1_2/make_flickr_dataset.py", line 30, in feats = cnn.get_features(unique_images, layers='conv5_3', layer_sizes=[512,14,14]) File "/home/hzhou/code_More/show_attend_and_tell_p1_2/cnn_util.py", line 72, in get_features caffe_in = np.zeros(np.array(image_batch.shape)[[0,3,1,2]], dtype=np.float32) IndexError: index 0 is out of bounds for axis 1 with size 0

i want to see attended images, while tests model. (The model changes its attention to the relevant part of the image while it generates each word.)

how can i see attended images for testing?

Have somebody train out a good result with the built model in this repo?Trying to recurrent the result in this repo， until now the result is not satisfactory......

Thank you very much for sharing. I want to use the attention model to do video classification, but there is always a gradient vanishing during the training. Have you had a similar problem before?

ERROR LOG:

C:\Python35\python.exe C:/MainProject/show_attend_and_tell/model_tensorflow.py
Using TensorFlow backend.
preprocessing word counts and creating vocab based on word count threshold 30
filtered words from 20326 to 2942
Traceback (most recent call last):
  File "C:/MainProject/show_attend_and_tell/model_tensorflow.py", line 334, in <module>
    train()
  File "C:/MainProject/show_attend_and_tell/model_tensorflow.py", line 255, in train
    n_lstm_steps=int(maxlen)+1, # w1~wN까지 예측한 뒤 마지막에 '.'예측해야하니까 +1
TypeError: int() argument must be a string, a bytes-like object or a number, not 'map'

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You can print a more detailed traceback right now with "%tb", or use "%debug"
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    %config Application.verbose_crash=True


Process finished with exit code 1

Can anyone please tell me how to continue from here ?

In model.py, both in function build_model(self) and build_generator(self, maxlen), there is a line state = tf.zeros([self.batch_size, self.lstm.state_size]). However, this line cannot run (I am running on tf 0.12). Since self.lstm.state_size is a tuple, while here i believe it just needs an int.