小编Hil*_*Roy的帖子

在航站楼内

• 视窗 10
• 使用cuda 10.1
• 蟒蛇3.7.7
• 显卡 GeForce GTX 1050 4GB

>>> import tensorflow as tf
2020-07-08 17:10:50.005569: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
>>> tf.config.list_physical_devices('GPU')
2020-07-08 17:10:55.657489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1050 computeCapability: 6.1
coreClock: 1.493GHz coreCount: 5 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.43GiB/s
2020-07-08 17:10:55.701387: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]

在 jupyter 笔记本中

in [1]: import tensorflow as tf
        tf.config.list_physical_devices('GPU')
out[1]: []

in [1]: tf.__version__
out[1]: '2.2.0'

1. 第一个代码

#include <studio.h>

int main() {
    std::cout << "apple" << endl << "banana";
}

2. 第二个代码

#include <iostream>
using namespace std;

int main(void) {
    cout << "apple" << endl;
    cout << "banana" << endl;
}

为什么我错了？我知道答案是第二个，但我想知道为什么我的第一个代码是错误的。请帮我！