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- def sparse_tuple_from(sequences, dtype=np.int32):
- """Create a sparse representention of x.
- Args:
- sequences: a list of lists of type dtype where each element is a sequence
- Returns:
- A tuple with (indices, values, shape)
- """
- indices = []
- values = []
- for n, seq in enumerate(sequences):
- indices.extend(zip([n] * len(seq), range(len(seq))))
- values.extend(seq)
- indices = np.asarray(indices, dtype=np.int64)
- values = np.asarray(values, dtype=dtype)
- shape = np.asarray([len(sequences), np.asarray(indices).max(0)[1] + 1], dtype=np.int64)
- return indices, values, shape
- labels = sparse_tuple_from(batch_y)
- InvalidArgumentError (see above for traceback): Not enough time for target transition sequence (required: 7, available: 1)
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