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cleanup and improved reporting for csr

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jan 2016-07-04 22:19:21 -07:00
parent 03f7f6d3c4
commit bb7b90e938
1 changed files with 34 additions and 18 deletions
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52
opencl_fdfd/csr.py
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@ -1,4 +1,5 @@
import numpy
from numpy.linalg import norm
import pyopencl
import pyopencl.array
@ -52,17 +53,15 @@ def create_ops(context):
v_out[i] = dot;
'''
v_out_args = ctype + ' *v_out, int v_len_half'
m_args = 'int m_nnz, int *m_row_ptr, int *m_col_ind, ' + ctype + ' *m_data'
v_out_args = ctype + ' *v_out'
m_args = 'int *m_row_ptr, int *m_col_ind, ' + ctype + ' *m_data'
v_in_args = ctype + ' *v_in'
spmv_kernel = ElementwiseKernel(context, operation=spmv_source, preamble=preamble,
arguments=', '.join((v_out_args, m_args, v_in_args)))
def spmv(v_out, m, v_in, e):
return spmv_kernel(v_out, (v_out.size - 1)//2,
m.data.size, m.row_ptr, m.col_ind, m.data,
v_in, wait_for=e)
return spmv_kernel(v_out, m.row_ptr, m.col_ind, m.data, v_in, wait_for=e)
# -------------------------------------
@ -93,7 +92,7 @@ def create_ops(context):
dtype_out=ri_dtype,
neutral='(double3)(0.0, 0.0, 0.0)',
map_expr=update_ri_source,
reduce_expr='a+b',
reduce_expr='a + b',
arguments=ctype + ' *r')
def ri_update(r, e):
@ -149,7 +148,7 @@ def cg(a, b, max_iters=10000, err_thresh=1e-6, context=None, queue=None, verbose
ops = create_ops(context)
x = pyopencl.array.zeros(queue, dtype=numpy.complex128, shape=b.shape)
v = pyopencl.array.empty_like(x)
v = pyopencl.array.zeros_like(x)
p = pyopencl.array.zeros_like(x)
r = pyopencl.array.to_device(queue, b)
alpha = 1.0 + 0j
@ -158,20 +157,19 @@ def cg(a, b, max_iters=10000, err_thresh=1e-6, context=None, queue=None, verbose
m = CSRMatrix(queue, a)
e = ops['spmv'](v, m, x, [])
e = ops['xr_update'](x, p, r, v, 0.0, [e])
_, err2 = ops['ri_update'](r, [e])
_, err2 = ops['ri_update'](r, [])
b_norm = numpy.sqrt(err2)
print('b_norm check: ', b_norm)
start_time2 = time.perf_counter()
success = False
for k in range(max_iters):
if verbose:
print('[{:06d}] rho {:.4} alpha {:4.4}'.format(k, rho, alpha), end=' ')
rho_prev = rho
e = ops['xr_update'](x, p, r, v, alpha, [e])
e = ops['xr_update'](x, p, r, v, alpha, [])
rho, err2 = ops['ri_update'](r, [e])
errs += [numpy.sqrt(err2) / b_norm]
@ -179,17 +177,35 @@ def cg(a, b, max_iters=10000, err_thresh=1e-6, context=None, queue=None, verbose
print('err', errs[-1])
if errs[-1] < err_thresh:
time_elapsed = time.perf_counter() - start_time
print('Success, {} iterations in {} sec: {} iterations/sec'.format(k,
time_elapsed, k/time_elapsed))
print('overhead', start_time2-start_time)
return x.get(), errs, True
success = True
break
e = ops['p_update'](p, r, rho/rho_prev, [])
e.wait()
ops['spmv'](v, m, p, [e]).wait()
# v2 = a @ p.get()
# print('norm', norm(v2 - v.get()))
alpha = rho / pyopencl.array.dot(p, v).get()
if k % 1000 == 0:
print(k)
return x.get(), errs, False
'''
Done solving
'''
time_elapsed = time.perf_counter() - start_time
x = x.get()
if success:
print('Success', end='')
else:
print('Failure', end=', ')
print(', {} iterations in {} sec: {} iterations/sec \
'.format(k, time_elapsed, k / time_elapsed))
print('final error', errs[-1])
print('overhead {} sec'.format(start_time2 - start_time))
print('Post-everything residual:', norm(a @ x - b) / norm(b))
return x