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avisingh599 / visual-qa

[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
https://avisingh599.github.io/deeplearning/visual-qa/
MIT License
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Keyword argument not understood: truncate_gradient #21

Open skeeph opened 8 years ago

skeeph commented 8 years ago

I performed installation as it said in tutorial, succesfully run trainMLP.py But when i try to run demo_batch.py I get error File "demo_batch.py", line 71, in <module> main() File "demo_batch.py", line 34, in main model = model_from_json(open(args.model).read()) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/models.py", line 166, in model_from_json return model_from_config(config, custom_objects=custom_objects) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/models.py", line 177, in model_from_config model = container_from_config(config, custom_objects=custom_objects) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 44, in container_from_config init_layer = container_from_config(layer) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 35, in container_from_config init_layer = container_from_config(layer) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 44, in container_from_config init_layer = container_from_config(layer) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 102, in container_from_config base_layer = get_layer(name, layer_dict) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/utils/layer_utils.py", line 168, in get_layer instantiate=True, kwargs=kwargs) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/utils/generic_utils.py", line 18, in get_from_module return res(**kwargs) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/layers/recurrent.py", line 559, in __init__ super(LSTM, self).__init__(**kwargs) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/layers/recurrent.py", line 132, in __init__ super(Recurrent, self).__init__(**kwargs) File "/home/deep/temp/vqa_web_demo/vqa/local/lib/python2.7/site-packages/keras/layers/core.py", line 47, in __init__ assert kwarg in allowed_kwargs, 'Keyword argument not understood: ' + kwarg AssertionError: Keyword argument not understood: truncate_gradient

Why this error happen and how can i fix it? Thanks

infinity0a commented 8 years ago

I got this error, too...hope to know how you fix it

iamaaditya commented 8 years ago

This is because the pre-trained model already existing in the repo was trained on the older version of Keras. It is best to train your model, however to save computation if you would like to use pretrained model and weights, you may download them here https://github.com/iamaaditya/visual-qa/tree/master/models These were trained on new version of Keras, and works with demo_batch.py