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Trt_convert converter.convert() gets killed without errors - Jetson Xavier NX - NVIDIA Developer Forums
![Unable to run keras training (either unable to find algo or causing blackscreen of death) · Issue #93 · ROCmSoftwarePlatform/tensorflow-upstream · GitHub Unable to run keras training (either unable to find algo or causing blackscreen of death) · Issue #93 · ROCmSoftwarePlatform/tensorflow-upstream · GitHub](https://user-images.githubusercontent.com/26632472/43363310-9efe0cbc-92c7-11e8-8b78-f7acd5a824ab.png)
Unable to run keras training (either unable to find algo or causing blackscreen of death) · Issue #93 · ROCmSoftwarePlatform/tensorflow-upstream · GitHub
![Update 2] How to build and install TensorFlow GPU/CPU for Windows from source code using bazel and Python 3.6 | by Aleksandr Sokolovskii | Medium Update 2] How to build and install TensorFlow GPU/CPU for Windows from source code using bazel and Python 3.6 | by Aleksandr Sokolovskii | Medium](https://miro.medium.com/v2/resize:fit:1400/1*P-yxGtCS_0hiXzPBiTCgcA.png)
Update 2] How to build and install TensorFlow GPU/CPU for Windows from source code using bazel and Python 3.6 | by Aleksandr Sokolovskii | Medium
![win10GPU服务器,keras-yolov3执行train.py时,提示Adding visible gpu devices: 0 卡着不动_adding visible gpu devices: 0 不动了_至尊宝♬的博客-CSDN博客 win10GPU服务器,keras-yolov3执行train.py时,提示Adding visible gpu devices: 0 卡着不动_adding visible gpu devices: 0 不动了_至尊宝♬的博客-CSDN博客](https://img-blog.csdnimg.cn/286da9ba764e4765a55be5936c7eab6d.png?x-oss-process=image/watermark,type_d3F5LXplbmhlaQ,shadow_50,text_Q1NETiBA5ZCb5Li05aSp5LiLdGpt,size_20,color_FFFFFF,t_70,g_se,x_16)
win10GPU服务器,keras-yolov3执行train.py时,提示Adding visible gpu devices: 0 卡着不动_adding visible gpu devices: 0 不动了_至尊宝♬的博客-CSDN博客
![E tensorflow/stream_executor/cuda/cuda_driver.cc:328] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected - Jetson Nano - NVIDIA Developer Forums E tensorflow/stream_executor/cuda/cuda_driver.cc:328] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected - Jetson Nano - NVIDIA Developer Forums](https://global.discourse-cdn.com/nvidia/original/3X/3/5/35565f3ba972b2ca92861de2c597690e2e515452.png)
E tensorflow/stream_executor/cuda/cuda_driver.cc:328] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected - Jetson Nano - NVIDIA Developer Forums
Ignoring visible gpu device (device: 0, name: GeForce GTX 780M compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5. · Issue #46653 · tensorflow/tensorflow · GitHub
![I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0 · Issue #28595 · tensorflow/tensorflow · GitHub I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0 · Issue #28595 · tensorflow/tensorflow · GitHub](https://user-images.githubusercontent.com/19480228/57528912-d6748e80-7333-11e9-896b-b8840339303a.png)
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0 · Issue #28595 · tensorflow/tensorflow · GitHub
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