lherman-cs / tensorflow-aarch64

Compiled tensorflow for aarch64 architecture
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tensorflow-aarch64 GPU version #5

Open qiuweibo opened 5 years ago

qiuweibo commented 5 years ago

Hi,

Thanks so much for your work. But this is tensorfllow 1.4.0 aarch64 CPU version. However, normally we need to use tensorflow GPU version on ARM.

Surprisingly, I cannot find any Tensorflow 1.4.0 aarch64 GPU version. Have you seen any?

Thanks in advance.

Best regards, Weibo Qiu.

noahzhy commented 5 years ago

很抱歉现在才回复你,关于gpu版的tf,你可以参考 nvidia 的预编译版本的。例如: https://developer.download.nvidia.cn/compute/redist/jp/v42/tensorflow-gpu/ 希望可以帮到你😉。

qiuweibo notifications@github.com 于2019年8月2日周五 下午7:15写道:

Hi,

Thanks so much for your work. But this is tensorfllow 1.4.0 aarch64 CPU version. However, normally we need to use tensorflow GPU version on ARM.

Surprisingly, I cannot find any Tensorflow 1.4.0 aarch64 GPU version. Have you seen any?

Thanks in advance.

Best regards, Weibo Qiu.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/lherman-cs/tensorflow-aarch64/issues/5?email_source=notifications&email_token=ADTVLVG3H37YJNXPU25UUVDQCQJNLA5CNFSM4II42NH2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HDBFAQQ, or mute the thread https://github.com/notifications/unsubscribe-auth/ADTVLVE4QWVSONB5JSZOD2TQCQJNLANCNFSM4II42NHQ .

qiuweibo commented 5 years ago

很抱歉现在才回复你,关于gpu版的tf,你可以参考 nvidia 的预编译版本的。例如: https://developer.download.nvidia.cn/compute/redist/jp/v42/tensorflow-gpu/ 希望可以帮到你😉。

qiuweibo notifications@github.com 于2019年8月2日周五 下午7:15写道: … Hi,

Thanks so much for your work. But this is tensorfllow 1.4.0 aarch64 CPU version. However, normally we need to use tensorflow GPU version on ARM.

Surprisingly, I cannot find any Tensorflow 1.4.0 aarch64 GPU version. Have you seen any?

Thanks in advance.

Best regards, Weibo Qiu.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#5?email_source=notifications&email_token=ADTVLVG3H37YJNXPU25UUVDQCQJNLA5CNFSM4II42NH2YY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4HDBFAQQ>, or mute the thread https://github.com/notifications/unsubscribe-auth/ADTVLVE4QWVSONB5JSZOD2TQCQJNLANCNFSM4II42NHQ .

Hello!

我已经把毕业论文交上了,哈哈。

到最后我也没找到Tensorflow 1.4.0 aarch64 GPU的版本。你发的链接里nvidia预编译的tf版本都是1.9以上,我那个项目用不了,最后我就跑了cpu的版本分析了一下,就是非常慢。。

noahzhy commented 5 years ago

那个链接里的是 tf 1.14 左右的,适用于 jetson nano 这块开发板的,应该也适用于 aarch 64 架构的其他板子,如日后有需要可以试试看。

On Sun, Aug 25, 2019, 00:14 qiuweibo notifications@github.com wrote:

很抱歉现在才回复你,关于gpu版的tf,你可以参考 nvidia 的预编译版本的。例如: https://developer.download.nvidia.cn/compute/redist/jp/v42/tensorflow-gpu/ 希望可以帮到你😉。

qiuweibo notifications@github.com 于2019年8月2日周五 下午7:15写道: … Hi,

Thanks so much for your work. But this is tensorfllow 1.4.0 aarch64 CPU version. However, normally we need to use tensorflow GPU version on ARM.

Surprisingly, I cannot find any Tensorflow 1.4.0 aarch64 GPU version. Have you seen any?

Thanks in advance.

Best regards, Weibo Qiu.

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https://github.com/notifications/unsubscribe-auth/ADTVLVE4QWVSONB5JSZOD2TQCQJNLANCNFSM4II42NHQ .

Hello!

我已经把毕业论文交上了,哈哈。

到最后我也没找到Tensorflow 1.4.0 aarch64 GPU的版本。你发的链接里nvidia预编译的tf版本都是1.9以上,我那个项目用不了,最后我就跑了cpu的版本分析了一下,就是非常慢。。

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/lherman-cs/tensorflow-aarch64/issues/5?email_source=notifications&email_token=ADTVLVGAUOH6JPEIOUETA5DQGFM53A5CNFSM4II42NH2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD5CDBVQ#issuecomment-524562646, or mute the thread https://github.com/notifications/unsubscribe-auth/ADTVLVG4545MM7O6JSUBA3LQGFM53ANCNFSM4II42NHQ .

qiuweibo commented 5 years ago

那个链接里的是 tf 1.14 左右的,适用于 jetson nano 这块开发板的,应该也适用于 aarch 64 架构的其他板子,如日后有需要可以试试看。 …

嗯,那个链接的前几级目录里有tf1.9开始的版本,但我都用不了。 我的板子是Jetson TX2, 也是aarch64,但是我的项目只能用tf1.4.0,所以最后就没找到gpu的

niconical commented 2 years ago

pytorch 和 tf都找不到GPU版本的aarch64平台支持(除了Jetson板子),明明CUDA已经可以安装在aarch64平台上了,请问是为啥呢?是pytorch-gpu/tensorflow-gpu的支持问题还是英伟达官方需要提供什么支持呢