You can go ahead and close this issue if you wish. Or you could re-attempt the build yourself. I had to build from source because of my Skylake CPU was not supported by the tf/tf: containers that were already b
1. 命令行输入nvidia-smi,查看显卡对应的cuda版本。如下图,CUDA Version为12.1,则安装的CUDA版本不能高于12.1。 2. 官网查看tensorflow-gpu和CUDA的版本对应关系。注意:语言一定要切换成英文,中文的内容不全。 Build from source on Windows | TensorFlow (google.cn) 如图,tensorflow-gpu最高版本为2.10.0,对应CUD...
确保将 CUDA 安装路径添加到系统环境变量中。 2、安装 cuDNN:Build from source on Windows | TensorFlow a. 前往 NVIDIA 开发者网站下载与安装的 CUDA 版本兼容的 cuDNN 版本。cuDNN官网地址 (cudnn-windows-x86_64-8.6.0.163_cuda11-archive) b. 解压下载的 cuDNN 文件并将其中的文件复制到 CUDA 安装路径...
deepspeech mozilla/DeepSpeech , 当前可执行的,是与tensorflow1.6.0和cuda 9.0绑定的。 由于跑任务的平台,只支持tensorflow 1.4和cuda 8.0, 所以deepspeech需要从source build支持tensorflow 1.4.0的才行。网上…
Please make sure that this is a bug. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template System information Have I written custom code (a...
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add - 安装并更新 Bazelsudo apt-get update && sudo apt-get install bazel 点此查看 Bazel 官方安装指南 2. 编译 TensorFlow 库 点此下载 TensorFlow 源码 进入源码根目录,运行./configure进行配置。可参考官网 -> Build from source -> ...
INFO: Reading rc options for 'test' from /Users/scottzhu/workspace/keras/.bazelrc:Inherited 'build' options: --apple_platform_type=macos --define open_source_build=true --define=use_fast_cpp_protos=false --define=tensorflow_enable_mlir_generated_gpu_kernels=0 --define=allow_oversize_protos=...
方式了,那我们就用docker 方式试试。而且网上的安装教程也是docker 的居多【官方给出了一个教程】,我们也要与时俱进。 下面是我机器wslkernel的版本:可见是没有最新,只有更新哈! season@season:~$ uname-r5.10.16.3-microsoft-standard-WSL2 官方文档: ...
build_model(sess) File "xlz/StackGAN-master/stageI/trainer.py", line 280, in build_model self.init_opt() File "xlz/StackGAN-master/stageI/trainer.py", line 101, in init_opt fake_images = self.model.get_generator(tf.concat(axis=[c, z], values=1)) File "xlz/Miniconda/envs/...
然后参照 Building and Installing TensorFlow from Source on Your Mac , 下载 build_tf.sh 脚本到当前目录中, 增加执行权限并运行该文件, 即可正常编译 TensorFlow. chmod+x build_tf.sh 1. 为了避免该脚本的链接失效, 将内容拷贝至此处: ...