examples/lstm-chime.py
def batches(dataset):
    '''Returns a callable that chooses sequences from netcdf data.'''
    seq_lengths = dataset.variables['seqLengths'].data
    seq_begins = np.concatenate(([0], np.cumsum(seq_lengths)[:-1]))

    def sample():
        chosen = np.random.choice(
            list(range(len(seq_lengths))), BATCH_SIZE, replace=False)
        return batch_at(dataset.variables['inputs'].data,
                        dataset.variables['targetClasses'].data,
                        seq_begins[chosen],
                        seq_lengths[chosen])

    return sample
def batches(dataset):
    '''Returns a callable that chooses sequences from netcdf data.'''
    seq_lengths = dataset.variables['seqLengths'].data
    seq_begins = np.concatenate(([0], np.cumsum(seq_lengths)[:-1]))

    def sample():
        chosen = np.random.choice(
            list(range(len(seq_lengths))), BATCH_SIZE, replace=False)
        return batch_at(dataset.variables['inputs'].data,
                        dataset.variables['targetClasses'].data,
                        seq_begins[chosen],
                        seq_lengths[chosen])

    return sample
Returns a callable that chooses sequences from netcdf data.