def main():
ca = CLArrayContext(device_type=cl.Device.GPU)
size = 8
device_input = ca.arange(size)
output = ca.add.reduce(device_input)
print output.item()
with output.map() as view:
print "device sum", np.asarray(view).item()
def main():
ca = CLArrayContext(device_type=cl.Device.GPU)
size = 8
device_input = ca.arange(size)
output = ca.add.reduce(device_input)
print output.item()
with output.map() as view:
print "device sum", np.asarray(view).item()
Created on Dec 15, 2011
@author: sean
"""
import opencl as cl
from clyther.array import CLArrayContext
# Always have to create a context.
ca = CLArrayContext()
# can print the current devices
print ca.devices
# Create an array
a = ca.arange(12)
print a
# map is the same as a memory map
with a.map() as arr:
print arr
# can clice
b = a[1::2]
with b.map() as arr:
print arr
# ufuncs
c = a + 1
'''
Created on Dec 15, 2011
@author: sean
'''
import opencl as cl
from clyther.array import CLArrayContext
#Always have to create a context.
ca = CLArrayContext()
#can print the current devices
print ca.devices
#Create an array
a = ca.arange(12)
print a
#map is the same as a memory map
with a.map() as arr:
print arr
#can clice
b = a[1::2]
with b.map() as arr:
print arr
#ufuncs
c = a + 1
