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kayzhou avatar kayzhou commented on June 14, 2024
    def _fill_buffer(self, size):
        if not self._buffer:
            for line in self._file:
                label, sentence = line.split("\t")
                label = int(label.strip())
                sequence = [self._vocab.token_to_id(t) for t in sentence.strip().split()]
                self._buffer.append((label, sequence))
                if len(self._buffer) >= size:
                    break

            self._buffer.sort(key=lambda x: len(x[1]))
            self._buffer_iter = iter(self._buffer)

Using self._buffer to stop filling, I think, is wrong. self._buffer never change in the next().

from cnn-text-classification-pytorch.

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