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import os
import sys
sys.path.append(os.getcwd())
import numpy as np
import py_implementation as testee
HIP = True if len(sys.argv) > 1 and sys.argv[1] == "HIPCC-AMDGPU" else False
def test_3d():
src = np.fromfunction(lambda i, j, k : i + j + k, (3, 4, 5), dtype=np.double)
dst = np.zeros_like(src)
testee.copy_from_3D(src, dst)
assert np.all(dst == src)
def test_3d_with_unit_stride():
src = np.fromfunction(lambda i, j, k : i + j + k, (3, 4, 5), dtype=np.double)
dst = np.zeros_like(src)
testee.copy_from_3D_with_unit_stride(src, dst)
assert np.all(dst == src)
def test_1d():
shape = (3, 4, 5)
src = np.arange(shape[0], dtype=np.double)
dst = np.zeros(shape, dtype=np.double)
testee.copy_from_1D(src, dst)
expected = np.fromfunction(lambda i, j, k : i, shape, dtype=np.double)
assert np.all(dst == expected)
def test_scalar():
dst = np.zeros((3, 4, 5), dtype=np.double)
testee.copy_from_scalar(42., dst)
assert np.all(dst == 42.)
def test_cuda_sid():
class Mock:
def __init__(self, **kwargs):
self.kwargs = kwargs
if not HIP:
@property
def __cuda_array_interface__(self):
return self.kwargs
else:
@property
def __hip_array_interface__(self):
return self.kwargs
mock = Mock(
shape=(3, 4, 5),
typestr="|f8",
data=(0xDEADBEAF, True),
version=2,
strides=(8, 3 * 8, 3 * 4 * 8),
descr=[("", "|f8")],
mask=None)
testee.check_cuda_sid(mock, 0xDEADBEAF, (1, 3, 3 * 4), (3, 4, 5))
mock = Mock(
shape=(3, 4, 5),
typestr="|f8",
data=(0xDEADBEAF, True),
version=2)
testee.check_cuda_sid(mock, 0xDEADBEAF, (4 * 5, 5, 1), (3, 4, 5))
test_3d()
test_3d_with_unit_stride()
test_1d()
test_scalar()
test_cuda_sid()
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