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Cupy CUDA: How to free/release device memory using cupy python?

In my original GPU code using cupy, I have multiple intermediate functions which do some computation and return the results. As a MWE, I have the code below in which foo() requires the variables gc_gpu and dgc_gpu to compute the final result. After computing the result, I want to release the device memory hold by the variables gc_gpu and dgc_gpu (just like we do in C++ CUDA by calling cudaFree(varName);). I read the CUPY documentation and tried to use mempool.free_all_blocks() to release the memory.

QUESTION: Even after using mempool.free_all_blocks(), the memory is not released (as I verify in the task manager). How can I free the device memory?

import cupy as cp

def foo():
    gc_gpu = cp.zeros((51 * 51 * 8 * 101 * 101), dtype=cp.float64)
    dgc_gpu = cp.ones((51 * 51 * 8 * 101 * 101), dtype=cp.float64)

    result = gc_gpu + dgc_gpu

    # free memory
    mempool = cp.get_default_memory_pool()
    mempool.free_all_blocks()

    new_result = result * 2

    return new_result

####--------program---------#####
foo = foo()


source https://stackoverflow.com/questions/77341307/cupy-cuda-how-to-free-release-device-memory-using-cupy-python
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