使用A卡（AMD Radeon RX470）进行机器学习的失败经历
想赶上机器学习ML深度学习的热潮不容易，光是显卡就是一笔不小的投入。网上搜索了一下，见A卡也可以勉强用于ML，遂想用手头有的一张A卡（RX470）进行学习，过程不易，记录之。
一、试用WSL2，失败。
到AMD ROCM官网查看，不支持windows平台，基本上推荐Ubuntu，心想正好在windows10上安装WSL2，最新版已经升到20.04，过程不赘述。安装好anaconda和ROCM后，rocminfo查看，报告找不到GPU，网上搜索后，确定wsl暂时（据微软说，解决方案正在研发中）不支持直接访问硬件，所以本方法失败。
二、物理机安装ubuntu20.04
按照教程安装rocm和anaconda 后， 安装tensorflow-rocm。安装很顺利，一切就绪，进入python，import tensorflow，报错！
(base) python@python-MS-7972:~$ python Python 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow Traceback (most recent call last): File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module> from tensorflow.python._pywrap_tensorflow_internal import * ImportError: librocsolver.so.0: cannot open shared object file: No such file or directory During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/__init__.py", line 41, in <module> from tensorflow.python.tools import module_util as _module_util File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/python/__init__.py", line 40, in <module> from tensorflow.python.eager import context File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/python/eager/context.py", line 35, in <module> from tensorflow.python import pywrap_tfe File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/python/pywrap_tfe.py", line 28, in <module> from tensorflow.python import pywrap_tensorflow File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 83, in <module> raise ImportError(msg) ImportError: Traceback (most recent call last): File "/home/python/python-dev/anaconda3/lib/python3.8/site-packages/tensorflow/python/pywrap_tensorflow.py", line 64, in <module> from tensorflow.python._pywrap_tensorflow_internal import * ImportError: librocsolver.so.0: cannot open shared object file: No such file or directory Failed to load the native TensorFlow runtime. See https://www.tensorflow.org/install/errors for some common reasons and solutions. Include the entire stack trace above this error message when asking for help.
又经过一番艰苦卓绝的搜索：），终于发现正确解决方案，竟然只是安装 rocm-libs！
suso apt install rocm-libs
但是由于rocm-libs的库文件都安装在/opt/rocm-4.3.0下面的多个子路径中，因此需要条件到LD路径中。
我这里采用的时在/etc/ld.so.conf.d下面创建一个新的独立配置文件 rocm_4.3.0_libs.conf
/opt/rocm-4.3.0/lib /opt/rocm-4.3.0/rocsolver/lib /opt/rocm-4.3.0/rocblas/lib /opt/rocm-4.3.0/rocclr/lib
再次进入python导入tensorflow，终于Ok了！
但是，不要高兴得太早，随便写段代码：
import os
import numpy as np
import pandas as pd
import matplotlib as plot
import keras
from keras.utils import np_utils
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense,Dropout,MaxPooling2D,MaxPooling1D,Conv1D,Conv2D,LSTM
def main():
(x_train,y_train),(x_test,y_test) = mnist.load_data()
x_train=np_utils.normalize(x_train,2)
y_train=np_utils.to_categorical(y_train)
x_test=np_utils.normalize(x_test,2)
y_test=np_utils.to_categorical(y_test)
model=Sequential()
model.add(Dense())
if __name__=='__main__':
main()
结果有报错了：
2021-09-26 09:42:15.973798: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libamdhip64.so "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!" 已放弃 (核心已转储)
经搜索，gf803系列显卡（RX 470/480/570/580/590)竟然已经不在AMD得ROCM3.7版本以后得支持名单中！！让我哭一会儿:(
不过，据说按照这个网址的办法可以解决，但是我按照步骤依次安装（除了pytorch的两个）之后，tensorflow倒是可以引入使用了，但tensorflow还是没有找到GPU，用的还是CPU！我放弃了，你们哪位TX试试吧，如果试好了，请一定告诉我。
2022-10-17 更新
今天，网上闲逛，竟然让我发现这篇文章MacBook显卡不跑AI模型太浪费：这个深度学习工具支持所有品牌GPU，回来实验一下，希望能够解决！
