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* Add python API for specifying CUDA device id * Modification for providing session based python api for specifying device id * When include header file pybind11/stl.h, conversion between c++ containers and Python list, vector and dict data structure are automatically enabled. https://pybind11.readthedocs.io/en/stable/advanced/cast/stl.html# Therefore, refactor the code for better leverage this advantage. * Make struct CudaDeviceOptions as default cuda device options * Implement sess.set_providers(list_of_providers, list_of_provider_option_dicts) But still stay consistent with existing sess.set_providers(list_of_provider) * Add cuda provider option default setting * Add support for setting cuda cuda_mem_limit and arena_extend_strategy. Also resolved the merge conflict on session.py * Use python ctypes to call cuda library to help python unittest * Refine the code with reviewer's suggestions * Add the capability of getting execution provider's configuration - Once we introduced the capability to set execution provider's configuration, it makes sense to add capability of getting ep's configuration. * Modify the code with reviewer's suggestions. * Using stoull() and stoul() depends on 32/64-bits architecture. * Rewrite the testcases for testing setting CUDA device id Note: We need to make sure every ORT process be run on one CUDA device at a time. * Make sure old session object is destroyed by python gc before new session object is being created * Move testcases to original onnxruntime_test_python.py * Fix bugs to pass CI build * Make it pass CI build (cont.) * Make it pass CI build (cont.) |
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