01d5e7bc4782daafcfa99e035c1bdbe13a985145,examples/lstm_text_generation.py,,sample,#Any#Any#,62

Before Change

    // helper function to sample an index from a probability array
    a = np.log(a) / temperature
    a = np.exp(a) / np.sum(np.exp(a))
    return np.argmax(np.random.multinomial(1, a, 1))

// train the model, output generated text after each iteration
for iteration in range(1, 60):
    print()

After Change

def sample(preds, temperature=1.0):
    // helper function to sample an index from a probability array
    preds = np.asarray(preds).astype("float64")
    preds = np.log(preds) / temperature
    exp_preds = np.exp(preds)
    preds = exp_preds / np.sum(exp_preds)
    probas = np.random.multinomial(1, preds, 1)

Instances