How to use 'cuda_visible_devices python' in Python

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def device_cuda():
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    """ Displays the CUDA GPU device details.
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    Parameters
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    ----------
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    None
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    Returns
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    -------
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    None
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    Examples
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    --------
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    >>> device_cuda()
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    Device: GeForce GTX 1060 6GB
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    Compute Capability: 6.1
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    Total Memory: 6291 MB
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    CLOCK_RATE: 1746500
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    ...
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    MAX_BLOCK_DIM_X: 1024
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    MAX_BLOCK_DIM_Y: 1024
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    MAX_BLOCK_DIM_Z: 64
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    ...etc
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    """
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    pycuda.driver.init()
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    dev = pycuda.driver.Device(0)
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    print('Device: ' + dev.name())
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    print('Compute Capability: %d.%d' % dev.compute_capability())
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    print('Total Memory: %s MB' % (dev.total_memory() // (1024000)))
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    atts = [(str(att), value) for att, value in dev.get_attributes().items()]
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    atts.sort()
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    for att, value in atts:
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        print('%s: %s' % (att, value))

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def _get_cuda_gpus():
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    """
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    Returns a list of dictionaries, with the following keys:
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    - index (integer, device index of the GPU)
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    - name (str, GPU name)
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    - memory_free (float, free memory in MiB)
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    - memory_total (float, total memory in MiB)
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    """
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    import subprocess
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    try:
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        output = subprocess.check_output(['nvidia-smi',
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                                          '--query-gpu=index,gpu_name,memory.free,memory.total',
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                                          '--format=csv,noheader,nounits'],
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                                         universal_newlines=True)
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    except OSError:
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        return []
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    except subprocess.CalledProcessError:
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        return []
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    gpus = []
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    for gpu_line in output.split('\n'):
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        if gpu_line:
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            index, gpu_name, memory_free, memory_total = gpu_line.split(', ')
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            index = int(index)
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            memory_free = float(memory_free)
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            memory_total = float(memory_total)
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            gpus.append({
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                'index': index,
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                'name': gpu_name,
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                'memory_free': memory_free,
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                'memory_total': memory_total,
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            })
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    return gpus