dkeras-project / dkeras Goto Github PK
View Code? Open in Web Editor NEWDistributed Keras Engine, Make Keras faster with only one line of code.
License: MIT License
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johnjjung lucyio hbcbh1999 freedom99 jingmouren trendingtechnology chaoyue729 softdzx kundjanasith atlonxp shoman2 yogii786 shism2dkeras's Issues
predict() got an unexpected keyword argument 'callbacks'
File "/root/anaconda3/envs/tf13/lib/python3.6/site-packages/dkeras/workers/worker.py", line 109, in worker_task
TypeError: predict() got an unexpected keyword argument 'callbacks'
what is tensorflow and keras 's version?
my tensorflow and keras:
keras Version: 2.3.1
tensorflow Version: 1.13.1
This is probably a bug
config.N_CPUS_PER_SERVER = n_cpus_per_server
config.N_CPUS_PER_WORKER = n_cpus_per_worker
config.N_CPUS_PER_SERVER = n_gpus_per_worker <------
How to specify different workers if the workers are in the same local networkers but with different IP address
Hello,
I have two workers in Linux or perhaps windows.
They are in the same local network but with different IP address.
If I want to configure distributed keras training, is there any reference for deployment?
Thanks & Regards!
Jun Yan
Dkeras on a local machine (Intel® Xeon(R) Gold 6128 CPU @ 3.40GHz × 12 ) takes for ever
I have a model based on keras and it takes about 25 seconds for inference. I wanted to speed this up and implemented dkreas but I didnt get the performance improvment that I was expecting. Instead it takes for ever. Do you know why this happen or have I done anything wrong?
from dkeras import dKeras
import ray
ray.init()
model = dKeras(my_model, init_ray=False, wait_for_workers=True, n_workers=None)
segmented = model.predict(data)
model.close()
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