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fix long load when using various gpus in the same DFL folder

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Colombo 2019-12-29 18:47:55 +04:00
parent 540650c610
commit 818a2d65f0
1 changed files with 15 additions and 7 deletions
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22
nnlib/nnlib.py
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@ -1,15 +1,18 @@
import contextlib
import multiprocessing
import os
import sys
import contextlib
from pathlib import Path
import numpy as np
from .CAInitializer import CAGenerateWeights
import multiprocessing
from joblib import Subprocessor
from utils import std_utils
from .device import device
from interact import interact as io
from joblib import Subprocessor
from utils import std_utils
from .CAInitializer import CAGenerateWeights
from .device import device
class nnlib(object):
device = device #forwards nnlib.devicelib to device in order to use nnlib as standalone lib
@ -174,6 +177,11 @@ NLayerDiscriminator = nnlib.NLayerDiscriminator
os.environ['CUDA_​CACHE_​MAXSIZE'] = '536870912' #512Mb (32mb default)
if sys.platform[0:3] == 'win':
if len(device_config.gpu_idxs) == 1:
os.environ['CUDA_CACHE_PATH'] = \
str(Path(os.environ['APPDATA']) / 'NVIDIA' / ('ComputeCache_' + device_config.gpu_names[0].replace(' ','_')))
os.environ['TF_MIN_GPU_MULTIPROCESSOR_COUNT'] = '2'
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #tf log errors only