Closed rameshkunasi closed 3 years ago
I understood the procedure to run. But while running I am getting Could not find enough idle GPUs error. How to resolve this issue
Hi,
First, make sure your tensorflow can find your gpu (launch python and follow the steps in tf website).
Then, check utils/parallel/limit_num_gpus.sh and you can find which step it fails.
As to the asoftmax, find the corresponding config file in nnet_conf/ to see whether you can understand the configuration.
2020年5月6日 下午6:03,Kunasi Ramesh notifications@github.com 写道:
I understood the procedure to run. But while running I am getting Could not find enough idle GPUs error. How to resolve this issue
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@mycrazycracy ,
I have installed tensorflow-gpu==1.12 and verified whether tensorflow able to detect gpu or not, it detected properly.
I am using single gpu for training. In utils/parallel/limit_num_gpus.sh num_gpus_assigned=0 so it is failing in that step. why the gpu should be idle? i am running another training script in the same gpu, will it be problem?
I am using python3.6 below error occuring in the log file after resolving GPU issue
File "/root/data_common3tb/Ramesh/tf-kaldi-speaker/dataset/data_loader.py", line 291, in batch_random rd.jumpahead(seed) AttributeError: 'Random' object has no attribute 'jumpahead'
Yes, in python3, jumpahead is removed. Please refer to https://github.com/mycrazycracy/tf-kaldi-speaker/issues/10 https://github.com/mycrazycracy/tf-kaldi-speaker/issues/10
2020年5月6日 下午6:42,Kunasi Ramesh notifications@github.com 写道:
I am using python3.6 below error occuring in the log file after resolving GPU issue
File "/root/data_common3tb/Ramesh/tf-kaldi-speaker/dataset/data_loader.py", line 291, in batch_random rd.jumpahead(seed) AttributeError: 'Random' object has no attribute 'jumpahead'
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If you want to run several programs in a single GPU, change the script for yourself please.
BTW, I have some copyright problems currently. Would set the repository private temporarily.
Hi,
Can you please give a brief idea about how to configure angular softmax as a loss function in the script?
Training steps I am not able to understand