I want to run a pyCUDA code on a flask
server. The file runs correctly directly using python3
but fails when the corresponding function is called using flask
.
Here is the relevant code:
cudaFlask.py:
import pycuda.autoinit
import pycuda.driver as drv
import numpy
from pycuda.compiler import SourceModule
def cudaTest():
mod = SourceModule("""
int x = 4;
""")
print ("done")
return
if __name__ == "__main__":
cudaTest()
server.py (only the part which calls the function):
@app.route('/bundle', methods=['POST'])
def bundle_edges():
cudaTest()
return "success"
On running python cudaFlask.py
I get the output done
as expected but on starting the server and doing POST
request at website/bundle
I get the following error on the flask console:
pycuda._driver.LogicError: cuModuleLoadDataEx failed: invalid device context -
on the line mod = SourceModule...
Where am I going wrong? There is a similar question out there but it has not been answered yet.
Solved the issue with lazy loading in flask
and making the context
manually (i.e. without pycuda.autoinit
in PyCUDA
.
Refer this for lazy loading in flask
.
My views.py
file:
import numpy as np
import pycuda.driver as cuda
from pycuda.compiler import SourceModule
def index():
cuda.init()
device = cuda.Device(0) # enter your gpu id here
ctx = device.make_context()
mod = SourceModule("""
int x = 4;
""")
ctx.pop() # very important
print ("done")
return "success"
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