def data(self) -> memoryview:
    """
    Returns the data of this tensor as a memoryview.

    ```python exec="true" source="above" session="tensor" result="python"
    t = Tensor([1, 2, 3, 4])
    print(np.frombuffer(t.data(), dtype=np.int32))
    ```
    """
    if 0 in self.shape: return memoryview(bytearray(0)).cast(self.dtype.base.fmt)
    assert all_int(self.shape), f"no data if shape is symbolic, {self.shape=}"
    return self._buffer().as_typed_buffer(self.shape)

    Returns the data of this tensor as a memoryview.

    ```python exec="true" source="above" session="tensor" result="python"
    t = Tensor([1, 2, 3, 4])
    print(np.frombuffer(t.data(), dtype=np.int32))
    ```
    
tinygrad/tensor.py