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#!/usr/bin/env python
"""
Demonstrates computation of the pseudoinverse on the GPU.
"""
from __future__ import print_function
import pycuda.autoinit
import pycuda.driver as drv
import pycuda.gpuarray as gpuarray
import numpy as np
import skcuda.linalg as culinalg
import skcuda.misc as cumisc
culinalg.init()
# Double precision is only supported by devices with compute
# capability >= 1.3:
import string
import scikits.cuda.cula as cula
demo_types = [np.float32, np.complex64]
if cula._libcula_toolkit == 'premium' and \
cumisc.get_compute_capability(pycuda.autoinit.device) >= 1.3:
demo_types.extend([np.float64, np.complex128])
for t in demo_types:
print('Testing pinv for type ' + str(np.dtype(t)))
a = np.asarray((np.random.rand(50, 50) - 0.5) / 10, t)
a_gpu = gpuarray.to_gpu(a)
a_inv_gpu = culinalg.pinv(a_gpu)
print('Success status: %r' % np.allclose(np.linalg.pinv(a), a_inv_gpu.get(),
atol=1e-2))
print('Maximum error: %r' % np.max(np.abs(np.linalg.pinv(a) - a_inv_gpu.get())))
print('')
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