Пример #1
0
    def getCpuAffinity(self):
        affinity_string = ""
        for j in pynvml.nvmlDeviceGetCpuAffinity(self.handle, device._nvml_affinity_elements):
            # assume nvml returns list of 64 bit ints
            affinity_string = "{:064b}".format(j) + affinity_string
        affinity_list = [int(x) for x in affinity_string]
        affinity_list.reverse()  # so core 0 is in 0th element of list

        ret = [i for i, e in enumerate(affinity_list) if e != 0]
        return ret
Пример #2
0
def get_cpu_affinity(device_index=None):
    """Get a list containing the CPU indices to which a GPU is directly connected.
    Use either the device index or the specified device identifier UUID.

    Parameters
    ----------
    device_index: int or str
        Index or UUID of the GPU device

    Examples
    --------
    >>> from dask_cuda.utils import get_cpu_affinity
    >>> get_cpu_affinity(0)  # DGX-1 has GPUs 0-3 connected to CPUs [0-19, 20-39]
    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
     40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]
    >>> get_cpu_affinity(5)  # DGX-1 has GPUs 5-7 connected to CPUs [20-39, 60-79]
    [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
     60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]
    >>> get_cpu_affinity(1000)  # DGX-1 has no device on index 1000
    dask_cuda/utils.py:96: UserWarning: Cannot get CPU affinity for device with index
    1000, setting default affinity
    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
     20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
     40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
     60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]
    """
    pynvml.nvmlInit()

    try:
        if device_index and not str(device_index).isnumeric():
            # This means device_index is UUID.
            # This works for both MIG and non-MIG device UUIDs.
            handle = pynvml.nvmlDeviceGetHandleByUUID(str.encode(device_index))
            if pynvml.nvmlDeviceIsMigDeviceHandle(handle):
                # Additionally get parent device handle
                # if the device itself is a MIG instance
                handle = pynvml.nvmlDeviceGetDeviceHandleFromMigDeviceHandle(handle)
        else:
            handle = pynvml.nvmlDeviceGetHandleByIndex(device_index)
        # Result is a list of 64-bit integers, thus ceil(get_cpu_count() / 64)
        affinity = pynvml.nvmlDeviceGetCpuAffinity(
            handle, math.ceil(get_cpu_count() / 64),
        )
        return unpack_bitmask(affinity)
    except pynvml.NVMLError:
        warnings.warn(
            "Cannot get CPU affinity for device with index %d, setting default affinity"
            % device_index
        )
        return list(range(get_cpu_count()))
Пример #3
0
def get_cpu_affinity(device_index):
    """Get a list containing the CPU indices to which a GPU is directly connected.

    Parameters
    ----------
    device_index: int
        Index of the GPU device

    Examples
    --------
    >>> from dask_cuda.utils import get_cpu_affinity
    >>> get_cpu_affinity(0)  # DGX-1 has GPUs 0-3 connected to CPUs [0-19, 20-39]
    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
     40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]
    >>> get_cpu_affinity(5)  # DGX-1 has GPUs 5-7 connected to CPUs [20-39, 60-79]
    [20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
     60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]
    >>> get_cpu_affinity(1000)  # DGX-1 has no device on index 1000
    dask_cuda/utils.py:96: UserWarning: Cannot get CPU affinity for device with index
    1000, setting default affinity
    [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
     20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,
     40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
     60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79]
    """
    pynvml.nvmlInit()

    try:
        # Result is a list of 64-bit integers, thus ceil(get_cpu_count() / 64)
        affinity = pynvml.nvmlDeviceGetCpuAffinity(
            pynvml.nvmlDeviceGetHandleByIndex(device_index),
            math.ceil(get_cpu_count() / 64),
        )
        return unpack_bitmask(affinity)
    except pynvml.NVMLError:
        warnings.warn(
            "Cannot get CPU affinity for device with index %d, setting default affinity"
            % device_index
        )
        return list(range(get_cpu_count()))