- tensorstore.TensorStore.astype(self, dtype: dtype) TensorStore
Returns a read/write view as the specified data type.
Example
>>> store = ts.array([1, 2, 3], dtype=ts.uint32) >>> store.astype(ts.string) TensorStore({ 'base': {'array': [1, 2, 3], 'driver': 'array', 'dtype': 'uint32'}, 'context': {'data_copy_concurrency': {}}, 'driver': 'cast', 'dtype': 'string', 'transform': {'input_exclusive_max': [3], 'input_inclusive_min': [0]}, })