0ad33d606682537466f3430fc6d6ac7d47460f1a,beginner_source/nlp/deep_learning_tutorial.py,,,#,294

Before Change

// Run on test data before we train, just to see a before-and-after
for instance, label in test_data:
    bow_vec = autograd.Variable(make_bow_vector(instance, word_to_ix))
    log_probs = model(bow_vec)
    print(log_probs)

// Print the matrix column corresponding to "creo"

After Change

with torch.no_grad():
    sample = data[0]
    bow_vector = make_bow_vector(sample[0], word_to_ix)
    log_probs = model(bow_vector)
    print(log_probs)


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Instances