1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261
|
from itertools import product
import numpy
import pytest
import platform
import sys
from pygpu.gpuarray import GpuArrayException
from .support import (guard_devsup, gen_gpuarray, context)
try:
import scipy.linalg.blas
try:
fblas = scipy.linalg.blas.fblas
except AttributeError:
fblas = scipy.linalg.blas
except ImportError as e:
pytest.skip("no scipy blas to compare against",allow_module_level=True)
import pygpu.blas as gblas
from pygpu.gpuarray import (GpuArrayException, UnsupportedException)
def guard_devsup_blasdouble(func):
def f(*args, **kwargs):
try:
func(*args, **kwargs)
except UnsupportedException as e:
pytest.skip("operation not supported")
except GpuArrayException as e:
if 'float64' in args and "does not support double precision" in str(e):
pytest.skip("double precision not supported")
raise
return f
def require_double_support(msg='clblas gemm - https://bugs.debian.org/877316'):
try:
a = gen_gpuarray((3,), 'float64', sliced=2, ctx=context)
except UnsupportedException:
pytest.skip('double precision not supported, and is required for ' + msg)
def test_dot():
bools = [True, False]
for N, dtype, offseted_i, sliced in product(
[1, 256, 1337], ['float32', 'float64'], bools, bools):
dot(N, dtype, offseted_i, sliced, True, False)
for overwrite, init_z in product(bools, bools):
dot(666, 'float32', False, False, overwrite, init_z)
@guard_devsup_blasdouble
def dot(N, dtype, offseted_i, sliced, overwrite, init_z):
cX, gX = gen_gpuarray((N,), dtype, offseted_inner=offseted_i,
sliced=sliced, ctx=context)
cY, gY = gen_gpuarray((N,), dtype, offseted_inner=offseted_i,
sliced=sliced, ctx=context)
if init_z:
gZ = gen_gpuarray((), dtype, offseted_inner=offseted_i,
sliced=sliced, ctx=context)[1]
else:
gZ = None
cr = fblas.ddot(cX, cY)
gr = gblas.dot(gX, gY, gZ, overwrite_z=overwrite)
numpy.testing.assert_allclose(cr, numpy.asarray(gr), rtol=1e-6)
def test_gemv():
bools = [False, True]
for shape, order, trans, offseted_i, sliced in product(
[(100, 128), (128, 50)], 'fc', bools, bools, [1, 2, -1, -2]):
gemv(shape, 'float32', order, trans,
offseted_i, sliced, True, False)
for overwrite, init_y in product(bools, bools):
gemv((4, 3), 'float32', 'f', False, False, 1,
overwrite, init_y)
gemv((32, 32), 'float64', 'f', False, False, 1, True, False)
for alpha, beta, overwrite in product(
[0, 1, -1, 0.6], [0, 1, -1, 0.6], bools):
gemv((32, 32), 'float32', 'f', False, False, 1,
overwrite, True, alpha, beta)
@guard_devsup_blasdouble
def gemv(shp, dtype, order, trans, offseted_i, sliced,
overwrite, init_y, alpha=1.0, beta=0.0):
cA, gA = gen_gpuarray(shp, dtype, order=order, offseted_inner=offseted_i,
sliced=sliced, ctx=context)
if trans:
shpX = (shp[0],)
shpY = (shp[1],)
else:
shpX = (shp[1],)
shpY = (shp[0],)
cX, gX = gen_gpuarray(shpX, dtype, offseted_inner=offseted_i,
sliced=sliced, ctx=context)
if init_y:
cY, gY = gen_gpuarray(shpY, dtype, ctx=context)
else:
cY, gY = None, None
if dtype == 'float32':
cr = fblas.sgemv(alpha, cA, cX, beta, cY, trans=trans,
overwrite_y=overwrite)
else:
cr = fblas.dgemv(alpha, cA, cX, beta, cY, trans=trans,
overwrite_y=overwrite)
try:
gr = gblas.gemv(alpha, gA, gX, beta, gY, trans_a=trans,
overwrite_y=overwrite)
except GpuArrayException:
if platform.uname()[4].startswith('aarch') and sys.maxsize>2**33:
pytest.skip("known to crash on arm64, https://bugs.debian.org/992673")
raise
numpy.testing.assert_allclose(cr, numpy.asarray(gr), rtol=1e-6)
def test_gemm():
bools = [False, True]
for (m, n, k), order, trans, offseted_o in product(
[(48, 15, 32), (15, 32, 48)], list(product(*['fc']*3)),
list(product(bools, bools)), bools):
gemm(m, n, k, 'float32', order, trans,
offseted_o, 1, False, False)
for sliced, overwrite, init_res in product([1, 2, -1, -2], bools, bools):
gemm(4, 3, 2, 'float32', ('f', 'f', 'f'),
(False, False), False, sliced, overwrite, init_res)
gemm(32, 32, 32, 'float64', ('f', 'f', 'f'), (False, False),
False, 1, False, False)
for alpha, beta, overwrite in product(
[0, 1, -1, 0.6], [0, 1, -1, 0.6], bools):
gemm(32, 23, 32, 'float32', ('f', 'f', 'f'),
(False, False), False, 1, overwrite, True, alpha, beta)
@guard_devsup_blasdouble
def gemm(m, n, k, dtype, order, trans, offseted_o, sliced, overwrite,
init_res, alpha=1.0, beta=0.0):
require_double_support()
if trans[0]:
shpA = (k, m)
else:
shpA = (m, k)
if trans[1]:
shpB = (n, k)
else:
shpB = (k, n)
cA, gA = gen_gpuarray(shpA, dtype, order=order[0],
offseted_outer=offseted_o,
sliced=sliced, ctx=context)
cB, gB = gen_gpuarray(shpB, dtype, order=order[1],
offseted_outer=offseted_o,
sliced=sliced, ctx=context)
if init_res:
cC, gC = gen_gpuarray((m, n), dtype, order=order[2], ctx=context)
else:
cC, gC = None, None
if dtype == 'float32':
cr = fblas.sgemm(alpha, cA, cB, beta, cC, trans_a=trans[0],
trans_b=trans[1], overwrite_c=overwrite)
else:
cr = fblas.dgemm(alpha, cA, cB, beta, cC, trans_a=trans[0],
trans_b=trans[1], overwrite_c=overwrite)
gr = gblas.gemm(alpha, gA, gB, beta, gC, trans_a=trans[0],
trans_b=trans[1], overwrite_c=overwrite)
numpy.testing.assert_allclose(cr, numpy.asarray(gr), rtol=1e-6)
def test_ger():
bools = [False, True]
for (m, n), order, sliced_x, sliced_y in product(
[(64, 64)], 'fc', [1, 2, -2, -1], [1, 2, -2, -1]):
ger(m, n, 'float32', order, sliced_x, sliced_y, False)
ger(64, 64, 'float64', 'f', 1, 1, False)
for init_res, overwrite in product(bools, bools):
ger(64, 64, 'float32', 'f', 1, 1, init_res, overwrite)
@guard_devsup_blasdouble
def ger(m, n, dtype, order, sliced_x, sliced_y, init_res, overwrite=False):
cX, gX = gen_gpuarray((m,), dtype, order, sliced=sliced_x, ctx=context)
cY, gY = gen_gpuarray((n,), dtype, order, sliced=sliced_y, ctx=context)
if init_res:
cA, gA = gen_gpuarray((m, n), dtype, order, ctx=context)
else:
cA, gA = None, None
if dtype == 'float32':
cr = fblas.sger(1.0, cX, cY, a=cA, overwrite_a=overwrite)
else:
cr = fblas.dger(1.0, cX, cY, a=cA, overwrite_a=overwrite)
try:
gr = gblas.ger(1.0, gX, gY, gA, overwrite_a=overwrite)
except GpuArrayException:
if platform.uname()[4].startswith('aarch') and sys.maxsize>2**33:
pytest.skip("known to crash on arm64, https://bugs.debian.org/992673")
raise
numpy.testing.assert_allclose(cr, numpy.asarray(gr), rtol=1e-6)
def test_rgemmBatch_3d():
bools = [False, True]
for b, (m, n, k), order, trans, offseted_o in product(
[1, 17, 31], [(24, 7, 16), (7, 16, 24)],
list(product('fc', 'fc', 'c')),
list(product(bools, bools)), bools):
rgemmBatch_3d(b, m, n, k, 'float32', order, trans,
offseted_o, 1, False, False)
for sliced, overwrite, init_res in product([1, 2, -1, -2], bools, bools):
rgemmBatch_3d(5, 4, 3, 2, 'float32', ('f', 'f', 'c'),
(False, False), False, sliced, overwrite, init_res)
rgemmBatch_3d(16, 16, 16, 16, 'float64', ('f', 'f', 'c'),
(False, False), False, 1, False, False)
for alpha, beta, overwrite in product(
[0, 1, -1, 0.6], [0, 1, -1, 0.6], bools):
rgemmBatch_3d(16, 16, 9, 16, 'float32', ('f', 'f', 'c'),
(False, False), False, 1, overwrite, True, alpha, beta)
@guard_devsup_blasdouble
def rgemmBatch_3d(b, m, n, k, dtype, order, trans, offseted_o, sliced,
overwrite, init_res, alpha=1.0, beta=0.0):
require_double_support()
if trans[0]:
shpA = (b, k, m)
else:
shpA = (b, m, k)
if trans[1]:
shpB = (b, n, k)
else:
shpB = (b, k, n)
cA, gA = gen_gpuarray(shpA, dtype, order=order[0],
offseted_outer=offseted_o,
sliced=sliced, ctx=context)
cB, gB = gen_gpuarray(shpB, dtype, order=order[1],
offseted_outer=offseted_o,
sliced=sliced, ctx=context)
if init_res:
cC, gC = gen_gpuarray((b, m, n), dtype, order=order[2], ctx=context)
else:
cC, gC = None, None
cr = numpy.empty((b, m, n), dtype=dtype)
if dtype == 'float32':
fn_gemm_c = fblas.sgemm
else:
fn_gemm_c = fblas.dgemm
for i in range(b):
cCi = cC if cC is None else cC[i]
cr[i] = fn_gemm_c(alpha, cA[i], cB[i], beta, cCi, trans_a=trans[0],
trans_b=trans[1], overwrite_c=overwrite)
gr = gblas.gemmBatch_3d(alpha, gA, gB, beta, gC, trans_a=trans[0],
trans_b=trans[1], overwrite_c=overwrite)
numpy.testing.assert_allclose(cr, numpy.asarray(gr), rtol=1e-5)
|