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ffd58293f7
Make Functorch interpreters serializable most of the time, so that we can save the guards on functorch states. ## Test Cases: 0. torch.compile() without functorch layers present. Guard should fail with any layer being pushed. 1. torch.compile() nested in vmap. 2. torch.compile() nested in grad. 3. torch.compile() nested in jvp + vmap 4. torch.compile() nested functionalize 5. torch.compile() nested in vmap + grad Differential Revision: [D74008787](https://our.internmc.facebook.com/intern/diff/D74008787/) Pull Request resolved: https://github.com/pytorch/pytorch/pull/152616 Approved by: https://github.com/zou3519 ghstack dependencies: #152615 |
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| .. | ||
| _strobelight | ||
| _sympy | ||
| backcompat | ||
| benchmark | ||
| bottleneck | ||
| data | ||
| hipify | ||
| jit | ||
| model_dump | ||
| serialization | ||
| tensorboard | ||
| viz | ||
| __init__.py | ||
| _appending_byte_serializer.py | ||
| _backport_slots.py | ||
| _config_module.py | ||
| _config_typing.pyi | ||
| _content_store.py | ||
| _contextlib.py | ||
| _cpp_embed_headers.py | ||
| _cpp_extension_versioner.py | ||
| _cxx_pytree.py | ||
| _device.py | ||
| _dtype_abbrs.py | ||
| _exposed_in.py | ||
| _filelock.py | ||
| _foreach_utils.py | ||
| _freeze.py | ||
| _functools.py | ||
| _get_clean_triton.py | ||
| _import_utils.py | ||
| _mode_utils.py | ||
| _ordered_set.py | ||
| _python_dispatch.py | ||
| _pytree.py | ||
| _stats.py | ||
| _thunk.py | ||
| _traceback.py | ||
| _triton.py | ||
| _typing_utils.py | ||
| _zip.py | ||
| backend_registration.py | ||
| bundled_inputs.py | ||
| checkpoint.py | ||
| collect_env.py | ||
| cpp_backtrace.py | ||
| cpp_extension.py | ||
| deterministic.py | ||
| dlpack.py | ||
| file_baton.py | ||
| flop_counter.py | ||
| hooks.py | ||
| mkldnn.py | ||
| mobile_optimizer.py | ||
| model_zoo.py | ||
| module_tracker.py | ||
| show_pickle.py | ||
| throughput_benchmark.py | ||
| weak.py | ||