ray.rllib.policy.sample_batch.SampleBatch.rows#

SampleBatch.rows() → Iterator[Dict[str, numpy.array | jnp.ndarray | tf.Tensor | torch.Tensor]][source]#

Returns an iterator over data rows, i.e. dicts with column values.

Note that if seq_lens is set in self, we set it to 1 in the rows.

Yields:

The column values of the row in this iteration.

from ray.rllib.policy.sample_batch import SampleBatch
batch = SampleBatch({
   "a": [1, 2, 3],
   "b": [4, 5, 6],
   "seq_lens": [1, 2]
})
for row in batch.rows():
    print(row)

{"a": 1, "b": 4, "seq_lens": 1}
{"a": 2, "b": 5, "seq_lens": 1}
{"a": 3, "b": 6, "seq_lens": 1}