如何修复非法指令(核心转储) [英] How to fix Illegal instruction (core dumped)

问题描述

我正在尝试解决这个问题，当我在下面运行 python3brain.py 时出现此错误非法指令(核心转储)

from imageai.Prediction import ImagePrediction导入操作系统execution_path=os.getcwd()预测 = ImagePrediction()预测.setModelTypeAsSqueezeNet()预测.setModelPath(os.path.join(execution_path，squeezenet_weights_tf_dim_ordering_tf_kernels.h5"))预测.loadModel()预测，概率 = predict.predictImage(os.path.join(execution_path, "giraffe.jpg"), result_count=5 )对于eachPrediction，zip中的eachProbability(预测，概率):打印(每个预测，:"，每个概率)

我曾尝试将 Tensorflow 降级到 1.5.0，但在我运行后出现这些错误

[ons mar 25 23:11:45] Jonathan@Whats next?:~/ReallySmartBrain$ pip3 install tensorflow==1.5.0默认为用户安装，因为普通站点包不可写错误:找不到满足 tensorflow==1.5.0 要求的版本(来自版本:1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.14.0, 1.14.0, 1.14.0.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc.0, 2.0.0rc.2.0, 2.0.1, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.2.0rc0, 2.2.0rc1)错误:找不到 tensorflow==1.5.0 的匹配分布

另一种解决方案是从源代码编译它，但我不知道从源代码编译它.我可以解决这个问题吗?

解决方案

我遇到了同样的问题.似乎这个问题是针对较旧的 CPU.正如您所说，一种解决方案是降级到 tensorflow 1.5.0.

另一种解决方案(对我有用的那个)是从源代码构建 tensorflow.

我编译了 2.1.0 版本，使用 Intel(R) Pentium(R) Dual CPU T2370 @ 1.73GHz 和 2GB RAM 花了我大约 25 小时.

您需要安装正确版本的 Bazel.在下面找到来自 tensorflow 的完整说明:

https://www.tensorflow.org/install/source

我需要添加一个 4GB 的交换文件.否则，您将在编译期间内存不足.

无论如何，我已经上传了我的 .whl 文件，以防您不想花费 25 小时(或更长时间)来编译自己的文件:

https://drive.google.com/open?id=1ISgMcDiCw5W5MFvS5Zbme6pNBbA7xWMH/p>

Hi i am trying to fix this issue when i run python3 brain.py below i get this error Illegal instruction (core dumped)

from imageai.Prediction import ImagePrediction
import os
execution_path=os.getcwd()

prediction = ImagePrediction()
prediction.setModelTypeAsSqueezeNet()
prediction.setModelPath(os.path.join(execution_path, "squeezenet_weights_tf_dim_ordering_tf_kernels.h5"))
prediction.loadModel()

predictions, probabilities = prediction.predictImage(os.path.join(execution_path, "giraffe.jpg"), result_count=5 )
for eachPrediction, eachProbability in zip(predictions, probabilities):
    print(eachPrediction , " : " , eachProbability)

I have tried to downgrade Tensorflow to 1.5.0 but then after i run that i get these errors

[ons mar 25 23:11:45] Jonathan@Whats next?:~/ReallySmartBrain$ pip3 install tensorflow==1.5.0
Defaulting to user installation because normal site-packages is not writeable
ERROR: Could not find a version that satisfies the requirement tensorflow==1.5.0 (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.2.0rc0, 2.2.0rc1)
ERROR: No matching distribution found for tensorflow==1.5.0

The other solution is to compile it from source code but i'don't have any idea to compile it from source code. Can i fix this anyway?

解决方案

I had the same problem. It seems that this problem is for older CPUs. As you said, one solution is with a downgrade to tensorflow 1.5.0.

The other solution (that one that worked for me) is to build tensorflow from source.

I compiled the version 2.1.0, it took me around 25 hours with a Intel(R) Pentium(R) Dual CPU T2370 @ 1.73GHz and 2GB RAM.

You would need to install the proper version of Bazel. Find below the complete instructions from tensorflow:

https://www.tensorflow.org/install/source

I needed to add a swap file of 4GB. Otherwise you will go out of memory during the compilation.

Anyway, I have uploaded my .whl file in case you don't want to expend 25 hours (or more) to compile your own file:

https://drive.google.com/open?id=1ISgMcDiCw5W5MFvS5Zbme6pNBbA7xWMH

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