在Linux系统中,设置GPU可见性的主要方法是通过export命令来设置CUDA_VISIBLE_DEVICES环境变量。这个环境变量接受一个逗号分隔的设备ID列表,每个ID代表一个GPU设备。 3. 编写export命令来设置GPU可见性 你可以通过以下命令来设置GPU可见性: bash export CUDA_VISIBLE_DEVICES=0,1 在这个例子中,只有设备ID为0和1的GPU...
set CUDA_VISIBLE_DEVICES=0 & hub serving start -c deploy/hubserving/s ... ~ 不允许使用与号(&)。& 运算符是为将来使用而保留的;请用双引号将与号引起来("&"),以将其作为字符串的一部分传递。 + CategoryInfo : ParserError: (:) [], ParentContainsErrorRecordException + FullyQualifiedErrorId ...
docker run -itd --name guider -v ${PWD}:/mnt -p 10001:22 -p 10002:8080 --gpus all -e NVIDIA_DRIVER_CAPABILITIES=compute,utility -e NVIDIA_VISIBLE_DEVICES=all --privileged=true --shm-size 32G nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 /bin/bash run 表示创建并运行容器 -itd 表示以交...
Cleanup torch amp usage to avoid cuda specific calls, merge support for Ascend (NPU) devices from MengqingCao that should work now in PyTorch 2.5 w/ new device extension autoloading feature. Tested Intel Arc (XPU) in Pytorch 2.5 too and it (mostly) worked. Oct 16, 2024 Fix error on im...
All Adobe did was take the workaround that used to be done in the filesystem to reset the preferences and put it in the UI as 7 to 8 "clicks" (depending on how you close Photoshop). A solution that requires 7 to 8 clicks by the user to resolve an issue is...
import os #os.environ["CUDA_VISIBLE_DEVICES"] = "-1" import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from tensorflow.keras.applications import DenseNet121, MobileNetV3Small img_inputs = keras.Input(shape=(128, 128, 3)) backend = MobileNetV3Small(include...
os.environ['CUDA_VISIBLE_DEVICES'] = '0' import os import unittest from swift.llm import (export_main, ExportArguments) class TestTemplate(unittest.TestCase): def setUp(self): print(('Testing %s.%s' % (type(self).__name__, self._testMethodName))) self.tmp_dir = tempfile.TemporaryDi...
os.environ['CUDA_VISIBLE_DEVICES'] = '0' class TestTemplate(unittest.TestCase): def setUp(self): print(('Testing %s.%s' % (type(self).__name__, self._testMethodName))) self.tmp_dir = tempfile.TemporaryDirectory().name def tearDown(self): shutil.rmtree(self.tmp_dir) super().tear...
I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-07-24 06:07:44.611146: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 Num GPUs Available: 10...
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