Jingtian Peng

@phongtnit @zekejames Have you addressed the issue? I faced the similar problem as below: Python 3.6.3 macOS Mojave 10.14.3 ```shell $ pyspider [W 190305 09:17:33 run:413] phantomjs not found, continue...

Any updates here? Same issue occurs.

@ppwwyyxx Thanks! If so, I think I have to update my TensorFlow version to 1.4 release. My TensorFlow base is 1.4-rc1, whose GitHub hash is `358298`.

@ppwwyyxx Is there a official guide or temporary solution?

@reedwm Thanks for your replying! I'd like to build from source on a stable version. Look forward to the stable testing branch of `tf_cnn_benchmarks`.

@yupeng9 What's the process of the distributed testing. I'm starting to run the distributed TensorFlow benchmarks. @tfboyd It seems like the official guide is still not been updated?

@reedwm How about setting `CUDA_VISIBLE_DEVICES={0..7}` for corresponding worker? Such like GPU 0 for Worker 0. The command should be: ``` CUDA_VISIBLE_DEVICES=0 python tf_cnn_benchmarks.py --local_parameter_device=gpu --num_gpus=1 \ --batch_size=64 --model=resnet50 --variable_update=distributed_replicated \...

Yep! I know the trick of setting `CUDA_VISIBLE_DEVICES`. But I just have 3 machines, and 2 1080Ti per machine. So, the recommended cluster specification is 3 parameter servers and 3...

@Zhaojp-Frank Generally speaking, you'd better launch PS process before worker 0. If no ps is running well, worker 0 would throw the `uninitialized error`.

@QQDQ 是的，之后可以直接用 tf.keras. 另外，近期会上 TF 2.2 的进阶课程。原来的 入门课程也会整体升级到 TF 2.2