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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def run_kernel(self, func, gpu_args, threads, grid):
 """runs the CUDA kernel passed as 'func' :param func: A PyCuda kernel compiled for this specific kernel configuration :type func: pycuda.driver.Function :param gpu_args: A list of arguments to the kernel, order should match the order in the code. Allowed values are either variables in global memory or single values passed by value. :param threads: A tuple listing the number of threads in each dimension of the thread block :type threads: tuple(int, int, int) :param grid: A tuple listing the number of thread blocks in each dimension of the grid :type grid: tuple(int, int) """

        func(*gpu_args, block=threads, grid=grid, texrefs=self.texrefs)