export用于设置当前运行的环境变量, export [-fnp][变量名称]=[变量设置值]。 -f 代表[变量名称]中为函数名称。 -n 删除指定的变量。变量实际上并未删除,只是不会输出到后续指令的执行环境中。 -p 列出所有的shell赋予程序的环境变量。 用处就是比如说我们在命令行测试的时候,因为是从脚本片段截取出来的,所以...
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...
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...
RuntimeError: Environment Variable CUDA_VISIBLE_DEVICES is not set correctly. If you wanna use gpu, please set CUDA_VISIBLE_DEVICES via export CUDA_VISIBLE_DEVICES=cuda_device_id. #8870Description zyzz1974 opened on Jan 17, 2023 windows环境报错,已经尝试set CUDA_VISIBLE_DEVICES=0 Activity paddl...
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...
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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...
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 i...
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...