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import pyopencl as cl # Import the OpenCL GPU computing API
print('\n' + '=' * 60 + '\nOpenCL Platforms and Devices')
for platform in cl.get_platforms(): # Print each platform on this computer
print('=' * 60)
print('Platform - Name: ' + platform.name)
print('Platform - Vendor: ' + platform.vendor)
print('Platform - Version: ' + platform.version)
print('Platform - Extensions: ' + platform.extensions)
print('Platform - Profile: ' + platform.profile)
for device in platform.get_devices(): # Print each device per-platform
print(' ' + '-' * 56)
print(' Device - Name: ' + device.name)
print(' Device - Vendor: ' + device.vendor)
print(' Device - Type: ' +
cl.device_type.to_string(device.type, "%d"))
print(' Device - Max Clock Speed: {0} Mhz'.format(
device.max_clock_frequency))
print(' Device - Compute Units: {0}'.format(
device.max_compute_units))
print(' Device - Local Memory: {0:.0f} KB'.format(
device.local_mem_size/1024))
print(' Device - Constant Memory: {0:.0f} KB'.format(
device.max_constant_buffer_size/1024))
print(' Device - Global Memory: {0:.0f} GB'.format(
device.global_mem_size/1073741824.0))
print(' Device - FP: ' + str(device.double_fp_config))
print('\n')
#ctx = cl.create_some_context()
#test your iPlatform, iDevice here. Read the output. Is it your GPU?
iPlatform, iDevice = 0, 0
platform = cl.get_platforms()[iPlatform]
device = platform.get_devices()[iDevice]
ctx = cl.Context(devices=[device])
print(ctx)
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