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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/51754 This API allows you to manage multiple python interpreters in a single process to deploy PyTorch models packaged with torch.package. torch/csrc/deploy/deploy.h contains the API definition torch/csrc/deploy/test_deploy.cpp has some examples. Notes: * mutex is added to PyTorchStreamReader to make it safe to use from multiple threads at once. * USE_DEPLOY is only true for the special libtorch_deployinterpreter.so library, when enabled we use a hash table to maintain PyObject <> at::Tensor mappping rather than the internal pointer in Tensor since >1 interpreter may have a reference to the tensor. * serialization.py has some additional functions for creating pickle objects but keeping storages in memory for use transfering tensors between interpreters Test Plan: Imported from OSS Reviewed By: wconstab Differential Revision: D26329468 Pulled By: zdevito fbshipit-source-id: d75f4ebb9a27f1d911179d9996041bcb3ca04a07 |
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| .. | ||
| init.cpp | ||
| init.h | ||
| module_python.h | ||
| pybind.h | ||
| pybind_utils.cpp | ||
| pybind_utils.h | ||
| python_arg_flatten.cpp | ||
| python_arg_flatten.h | ||
| python_custom_class.cpp | ||
| python_custom_class.h | ||
| python_interpreter.cpp | ||
| python_ir.cpp | ||
| python_ir.h | ||
| python_ivalue.h | ||
| python_sugared_value.cpp | ||
| python_sugared_value.h | ||
| python_tracer.cpp | ||
| python_tracer.h | ||
| python_tree_views.cpp | ||
| python_tree_views.h | ||
| script_init.cpp | ||
| script_init.h | ||
| update_graph_executor_opt.cpp | ||
| update_graph_executor_opt.h | ||