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Fluid was designed a trail towards a new DL programming language. It doesn't make sense for users to write a Python program that calls the Python interpreter. However, this is what we are doing right now:
The correct solution is to use the standard package atexit:
When we import paddle.fluid, we run the initialization module of Fluid, which should call atexit.register(run_fluid_program).
When the Python interpret runs the Fluid application program, it generates a ProgramDesc message.
When the application completes, Python calls run_fluid_program, which should call the C++ class Executor run interpret and run the generated ProgramDesc message.
* [AutoParallel]: llama_model_auto support alibi
* [AutoParallel]: llama_model_auto support alibi
* [AutoParallel]: llama_model_auto support alibi
* [AutoParallel]: change model_auto shard logits so change the loss base
* [AutoParallel]: change model_auto shard logits so change the loss base
* [AutoParallel]: fix llama run vpp error when use alibi
Fluid was designed a trail towards a new DL programming language. It doesn't make sense for users to write a Python program that calls the Python interpreter. However, this is what we are doing right now:
Paddle/python/paddle/fluid/tests/book/test_fit_a_line.py
Line 104 in 25317bd
Let us remove the expose of Executor, and follow the design #7464.
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