Hello,
I am writing some code using pycuda and have some problems, hope somebody
could please help me!
I am writing an application that will execute several calls to a function
that executes a kernel. Every call will share some of the same data, so I am
planning on sending this data before the first call and keep it inside the
gpu for the future ones. This way I will not need to copy the same thing
over and over again to the gpu, saving time. Also this function make a call
to two different kernels.
I show you how I am trying to do this:
in the init of my class I have:
self.weights_lateral = gpuarray.to_gpu(self.weight_matrixLateral())
self.weights_local = gpuarray.to_gpu(self.weight_matrixLocal())
unitaryX, unitaryY = self.unitary_vectors()
self.unitarysX = gpuarray.to_gpu(unitaryX)
self.unitarysY = gpuarray.to_gpu(unitaryY)
This are the gpus arrays I want to keep in the gpu memory.
Afterwards I have a function that do this:
#load data into the gpu
values_gpu =
gpuarray.to_gpu(np.array(current_values,dtype=np.float32))
#calculate the array of S(v)
expon_them = mod.get_function("expon_them")
svv =
gpuarray.to_gpu(np.zeros(self.angle_size*self.image_size*self.image_size,dtype
= np.float32))
expon_them(svv, values_gpu,
np.float32(0.0),np.float32(self.lamb),grid =
(self.num_blocks,1),block=(self.threads_per_block,1,1))
resul =
gpuarray.to_gpu(np.zeros(self.angle_size*self.image_size*self.image_size,dtype
= np.float32))
dv_them = mod.get_function("dv_them")
dv_them(resul, values_gpu, self.dx,self.weights_lateral,
self.weights_local, svv, self.alpha, self.mu, self.beta, self.inpt
,self.unitarysX,self.unitarysY,np.float32(0),self.lamb, grid =
(self.num_blocks,1),block=(self.threads_per_block,1,1))
I am having an error when I do resul =
gpuarray.to_gpu(np.zeros(self.angle_size*self.image_size*self.image_size,dtype
= np.float32))
The error is: LaunchError: cuMemcpyHtoD failed: launch failed
I have also been checking if I can acces the gpu arrays that I keep in
memory and I can not access them.
Something seems to be happening to the context after I execute expon_them
and I dont know what.
Could somebody please tell me how to fix this?
--
View this message in context:
http://pycuda.2962900.n2.nabble.com/Some-help-with-contexts-please-tp5627674p5627674.html
Sent from the PyCuda mailing list archive at Nabble.com.
_______________________________________________
PyCUDA mailing list
PyCUDA@tiker.net
http://lists.tiker.net/listinfo/pycuda
