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This ASTTransformer adds an inline attribute to any CUDA __device__ kernel
that does not have the attribute. Inlining solves a problem caused by
incremental compilation of PTX code. In a normal compiler, all definitions
of __global__ and __device__ kernels are in the same translation unit. In
the incremental compiler, each kernel has its own translation unit. In case
a __global__ kernel uses a __device__ function, this design caused an error.
Instead of generating the PTX code of the __device__ kernel in the same file
as the __global__ kernel, there is only an external declaration of the
__device__ function. However, normal PTX code does not support an external
declaration of functions.
The transformer only works if the target device is nvptx.
