Category : pytorch

If there is a project structure like: Project ├── folder1 │ └── F1_file1 │ └── . . . ├── folder2 │ └── datasets │ │ └── file1 │ │ └── file2 │ │ └── __init__.py │ └── __init__.py │ └── . . . F1_file1 contains main function and there is an import like this: from ..

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I am trying to use pytorch in a case for nlp binary classification and i need help to finish the neural network training and validate. I am newbie and this is my first time using pytorch, see the code below and the error… X_train_tensor = torch.from_numpy(np.asarray(X_train)).type(torch.FloatTensor).to(device) y_train_tensor = torch.from_numpy(np.asarray(y_train)).type(torch.FloatTensor).unsqueeze(1).to(device) X_valid_tensor = torch.from_numpy(np.asarray(X_valid)).type(torch.FloatTensor).to(device) y_valid_tensor = torch.from_numpy(np.asarray(y_valid)).type(torch.FloatTensor).unsqueeze(1).to(device) ..

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I am new to Pytorch, and I obtained a pertained model only (without model definition in python), and I can load it using command: mnet=torch.hub.load(…) which was successful, and I can pass input data to mnet. Now I hope to use the feature from the 3rd last layer as output, so I am doing this: ..

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I have been trying to load the PyGad trained instance in another file, in order to make some prediction. But I have been having some problems in the loading process. After the training phase, I saved the instance like this: The saving function: filename = ‘GNN_CPTNet’ #GNN_CPTNet.pkl ga_instance.save(filename=filename) The loading function: loaded_ga_instance = pygad.load(filename=filename) loaded_ga_instance.plot_result() ..

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