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Fix minibatch splitting in char-RNN classification tutorial #3975

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Fix minibatch splitting in char-RNN classification tutorial #3975

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3 changes: 2 additions & 1 deletion intermediate_source/char_rnn_classification_tutorial.py
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Expand Up @@ -316,7 +316,8 @@ def train(rnn, training_data, n_epoch = 10, n_batch_size = 64, report_every = 50
# we cannot use dataloaders because each of our names is a different length
batches = list(range(len(training_data)))
random.shuffle(batches)
batches = np.array_split(batches, len(batches) //n_batch_size )
n_batches = (len(batches) + n_batch_size - 1) // n_batch_size
batches = np.array_split(batches, n_batches)

for idx, batch in enumerate(batches):
batch_loss = 0
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