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Skip pyNVML to support Tegra devices #402

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Skip pyNVML to support Tegra devices #402

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0c9f29a
Skip pyNVML to support Tegra devices
pentschev Sep 25, 2020
287406a
Support for Tegra in get_cpu_affinity
pentschev Oct 7, 2020
d2d5e30
Use CUDA driver via Numba to get memory info on Tegra
pentschev Oct 7, 2020
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31 changes: 25 additions & 6 deletions dask_cuda/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,15 @@ def nvtx_annotate(message=None, color="blue", domain=None):
yield


@toolz.memoize
def _is_tegra():
import os

return os.path.isdir("/sys/class/tegra-firmware/") or os.path.isfile(
"/etc/nv_tegra_release"
)


class CPUAffinity:
def __init__(self, cores):
self.cores = cores
Expand Down Expand Up @@ -96,8 +105,13 @@ def get_cpu_count():

@toolz.memoize
def get_gpu_count():
pynvml.nvmlInit()
return pynvml.nvmlDeviceGetCount()
if _is_tegra():
import numba.cuda

return len(numba.cuda.gpus)
else:
pynvml.nvmlInit()
return pynvml.nvmlDeviceGetCount()


def get_cpu_affinity(device_index):
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Expand Down Expand Up @@ -153,10 +167,15 @@ def get_device_total_memory(index=0):
"""
Return total memory of CUDA device with index
"""
pynvml.nvmlInit()
return pynvml.nvmlDeviceGetMemoryInfo(
pynvml.nvmlDeviceGetHandleByIndex(index)
).total
if _is_tegra():
import numba.cuda

return numba.cuda.current_context().get_memory_info()[1]
else:
pynvml.nvmlInit()
return pynvml.nvmlDeviceGetMemoryInfo(
pynvml.nvmlDeviceGetHandleByIndex(index)
).total


def get_ucx_net_devices(
Expand Down