CompiledProgram

The CompiledProgram is used to transform a program for various optimizations. For example, you can use with_data_parallel to transform the program to data parallel program so that it can be run in multiple devices.

# Note:
#   - If you want to specify the GPU cards which are used to run
#     in ParallelExecutor, you should define the CUDA_VISIBLE_DEVICES
#     in environment.
#   - If you want to use multi CPU to run the program in ParallelExecutor,
#     you should define the CPU_NUM in the environment.

# First create the Executor.
place = fluid.CUDAPlace(0) if use_cuda else fluid.CPUPlace()
exe = fluid.Executor(place)

# Run the startup program once and only once.
exe.run(fluid.default_startup_program())

# Run the main program directly without compile.
loss = exe.run(fluid.default_main_program(),
                feed=feed_dict,
                fetch_list=[loss.name])

# Or, compiled the program, and then run the model with data parallel.
exec_strategy = fluid.ExecutionStrategy()
exec_strategy.num_threads = dev_count * 4 # the size of thread pool.
build_strategy = fluid.BuildStrategy()
build_strategy.memory_optimize = True if memory_opt else False

compiled_prog = compiler.CompiledProgram(
    fluid.default_main_program()).with_data_parallel(
        loss_name=loss.name,
        build_strategy=build_strategy,
        exec_strategy=exec_strategy)

loss, = exe.run(compiled_prog,
                feed=feed_dict,
                fetch_list=[loss.name])
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