Accessing a file in multiple python processes or threads
I have one python script which is generating data and one which is training a neural network with tensorflow on this data. Both need an instance of the neural network.
Since I haven't set the flag "allow growth" each process takes the full GPU memory. Therefore I simply give each process it's own GPU. (Maybe not a good solution for people with only one GPU... yet another unsolved problem)
The actual problem is as follow: Both instances need access to the networks weights file. I recently had a bunch of crashes because both processes tried to access the weights. I tried to come up with a solution like semaphores in C, but today I found this post in stack-exchange.
The idea with renaming seems quite simple and effective to me. Is this good practice in my case? I'll just create the weight file with my function
save(self, path='weights.h5$$$')
in the learning process, rename them after saving with
os.rename(weights.h5$$$, weights.h5)
and load them in my data generating process with function
load(self, path='weights.h5')
?
Will this renaming overwrite the old file? And what happens if the other process ins currently loading? I would appreciate other ideas how I could multithread my script. Just realized that generating data, learn, generating data,... in a sequential script is not really performant.
python multithreading multiprocessing
asked 24 mins ago
Mr.Sh4nnon
385
add a comment |
I have one python script which is generating data and one which is training a neural network with tensorflow on this data. Both need an instance of the neural network.
Since I haven't set the flag "allow growth" each process takes the full GPU memory. Therefore I simply give each process it's own GPU. (Maybe not a good solution for people with only one GPU... yet another unsolved problem)
The actual problem is as follow: Both instances need access to the networks weights file. I recently had a bunch of crashes because both processes tried to access the weights. I tried to come up with a solution like semaphores in C, but today I found this post in stack-exchange.
The idea with renaming seems quite simple and effective to me. Is this good practice in my case? I'll just create the weight file with my function
save(self, path='weights.h5$$$')
in the learning process, rename them after saving with
os.rename(weights.h5$$$, weights.h5)
and load them in my data generating process with function
load(self, path='weights.h5')
?
Will this renaming overwrite the old file? And what happens if the other process ins currently loading? I would appreciate other ideas how I could multithread my script. Just realized that generating data, learn, generating data,... in a sequential script is not really performant.
python multithreading multiprocessing
asked 24 mins ago
Mr.Sh4nnon
385
add a comment |
I have one python script which is generating data and one which is training a neural network with tensorflow on this data. Both need an instance of the neural network.
Since I haven't set the flag "allow growth" each process takes the full GPU memory. Therefore I simply give each process it's own GPU. (Maybe not a good solution for people with only one GPU... yet another unsolved problem)
The actual problem is as follow: Both instances need access to the networks weights file. I recently had a bunch of crashes because both processes tried to access the weights. I tried to come up with a solution like semaphores in C, but today I found this post in stack-exchange.
The idea with renaming seems quite simple and effective to me. Is this good practice in my case? I'll just create the weight file with my function
save(self, path='weights.h5$$$')
in the learning process, rename them after saving with
os.rename(weights.h5$$$, weights.h5)
and load them in my data generating process with function
load(self, path='weights.h5')
?
Will this renaming overwrite the old file? And what happens if the other process ins currently loading? I would appreciate other ideas how I could multithread my script. Just realized that generating data, learn, generating data,... in a sequential script is not really performant.
python multithreading multiprocessing
asked 24 mins ago
Mr.Sh4nnon
385
I have one python script which is generating data and one which is training a neural network with tensorflow on this data. Both need an instance of the neural network.
Since I haven't set the flag "allow growth" each process takes the full GPU memory. Therefore I simply give each process it's own GPU. (Maybe not a good solution for people with only one GPU... yet another unsolved problem)
The actual problem is as follow: Both instances need access to the networks weights file. I recently had a bunch of crashes because both processes tried to access the weights. I tried to come up with a solution like semaphores in C, but today I found this post in stack-exchange.
The idea with renaming seems quite simple and effective to me. Is this good practice in my case? I'll just create the weight file with my function
save(self, path='weights.h5$$$')
in the learning process, rename them after saving with
os.rename(weights.h5$$$, weights.h5)
and load them in my data generating process with function
load(self, path='weights.h5')
?
Will this renaming overwrite the old file? And what happens if the other process ins currently loading? I would appreciate other ideas how I could multithread my script. Just realized that generating data, learn, generating data,... in a sequential script is not really performant.
python multithreading multiprocessing
python multithreading multiprocessing
asked 24 mins ago
Mr.Sh4nnon
385
asked 24 mins ago
Mr.Sh4nnon
385
asked 24 mins ago
Mr.Sh4nnon
385
asked 24 mins ago
Mr.Sh4nnon
385
asked 24 mins ago
Mr.Sh4nnon
385
385
add a comment |
add a comment |
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