| torch.utils.deterministic |
| ========================= |
| .. py:module:: torch.utils.deterministic |
| .. currentmodule:: torch.utils.deterministic |
| |
| .. attribute:: fill_uninitialized_memory |
| |
| A :class:`bool` that, if True, causes uninitialized memory to be filled with |
| a known value when :meth:`torch.use_deterministic_algorithms()` is set to |
| ``True``. Floating point and complex values are set to NaN, and integer |
| values are set to the maximum value. |
| |
| Default: ``True`` |
| |
| Filling uninitialized memory is detrimental to performance. So if your |
| program is valid and does not use uninitialized memory as the input to an |
| operation, then this setting can be turned off for better performance and |
| still be deterministic. |
| |
| The following operations will fill uninitialized memory when this setting is |
| turned on: |
| |
| * :func:`torch.Tensor.resize_` when called with a tensor that is not |
| quantized |
| * :func:`torch.empty` |
| * :func:`torch.empty_strided` |
| * :func:`torch.empty_permuted` |
| * :func:`torch.empty_like` |
