ray.data.from_numpy_refs

ray.data.from_numpy_refs(ndarrays: ObjectRef[numpy.ndarray] | List[ObjectRef[numpy.ndarray]]) → MaterializedDataset

Creates a Dataset from a list of Ray object references to NumPy ndarrays.

Examples

>>> import numpy as np
>>> import ray
>>> arr_ref = ray.put(np.array([1]))
>>> ray.data.from_numpy_refs(arr_ref)
MaterializedDataset(num_blocks=1, num_rows=1, schema={data: int64})

Create a Ray Dataset from a list of NumPy array references.

>>> ray.data.from_numpy_refs([arr_ref, arr_ref])
MaterializedDataset(num_blocks=2, num_rows=2, schema={data: int64})

Parameters:

ndarrays – A Ray object reference to a NumPy ndarray or a list of Ray object references to NumPy ndarrays.

Returns:

Dataset holding data from the given ndarrays.

DeveloperAPI: This API may change across minor Ray releases.