-
tensorstore.array(array: ArrayLike, dtype: dtype | None =
None
, *, context: Context =None
, copy: bool | None =None
, write: bool | None =None
) TensorStore Returns a TensorStore that reads/writes from an in-memory array.
- Parameters:¶
- array: ArrayLike¶
Source array.
- dtype: dtype | None =
None
¶ Data type to which
array
will be converted.- context: Context =
None
¶ Optional context to use, for specifying
Context.data_copy_concurrency
.- copy: bool | None =
None
¶ Indicates whether the returned TensorStore may be a copy of the source array, rather than a reference to it.
- write: bool | None =
None
¶ Indicates whether the returned TensorStore is writable.
If
None
(default), the returned TensorStore may or may not be writable, depending on whether the source array converts to a writable NumPy array.If
True
, the returned TensorStore is required to be writable, and an error is returned if the source array does not support writing.If
False
, the returned TensorStore is never writable, even if the source array is writable.