Viewing file:  test_dlpack.py (3.44 KB) -rw-r--r--
Select action/file-type:
 (+) |  (+) |  (+) | Code (+) | Session (+) |  (+) | SDB (+) |  (+) |  (+) |  (+) |  (+) |  (+) |
import sys
import pytest
import numpy as np
from numpy.testing import assert_array_equal, IS_PYPY
class TestDLPack:
@pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.")
def test_dunder_dlpack_refcount(self):
x = np.arange(5)
y = x.__dlpack__()
assert sys.getrefcount(x) == 3
del y
assert sys.getrefcount(x) == 2
def test_dunder_dlpack_stream(self):
x = np.arange(5)
x.__dlpack__(stream=None)
with pytest.raises(RuntimeError):
x.__dlpack__(stream=1)
def test_strides_not_multiple_of_itemsize(self):
dt = np.dtype([('int', np.int32), ('char', np.int8)])
y = np.zeros((5,), dtype=dt)
z = y['int']
with pytest.raises(BufferError):
np.from_dlpack(z)
@pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.")
def test_from_dlpack_refcount(self):
x = np.arange(5)
y = np.from_dlpack(x)
assert sys.getrefcount(x) == 3
del y
assert sys.getrefcount(x) == 2
@pytest.mark.parametrize("dtype", [
np.bool_,
np.int8, np.int16, np.int32, np.int64,
np.uint8, np.uint16, np.uint32, np.uint64,
np.float16, np.float32, np.float64,
np.complex64, np.complex128
])
def test_dtype_passthrough(self, dtype):
x = np.arange(5).astype(dtype)
y = np.from_dlpack(x)
assert y.dtype == x.dtype
assert_array_equal(x, y)
def test_invalid_dtype(self):
x = np.asarray(np.datetime64('2021-05-27'))
with pytest.raises(BufferError):
np.from_dlpack(x)
def test_invalid_byte_swapping(self):
dt = np.dtype('=i8').newbyteorder()
x = np.arange(5, dtype=dt)
with pytest.raises(BufferError):
np.from_dlpack(x)
def test_non_contiguous(self):
x = np.arange(25).reshape((5, 5))
y1 = x[0]
assert_array_equal(y1, np.from_dlpack(y1))
y2 = x[:, 0]
assert_array_equal(y2, np.from_dlpack(y2))
y3 = x[1, :]
assert_array_equal(y3, np.from_dlpack(y3))
y4 = x[1]
assert_array_equal(y4, np.from_dlpack(y4))
y5 = np.diagonal(x).copy()
assert_array_equal(y5, np.from_dlpack(y5))
@pytest.mark.parametrize("ndim", range(33))
def test_higher_dims(self, ndim):
shape = (1,) * ndim
x = np.zeros(shape, dtype=np.float64)
assert shape == np.from_dlpack(x).shape
def test_dlpack_device(self):
x = np.arange(5)
assert x.__dlpack_device__() == (1, 0)
y = np.from_dlpack(x)
assert y.__dlpack_device__() == (1, 0)
z = y[::2]
assert z.__dlpack_device__() == (1, 0)
def dlpack_deleter_exception(self):
x = np.arange(5)
_ = x.__dlpack__()
raise RuntimeError
def test_dlpack_destructor_exception(self):
with pytest.raises(RuntimeError):
self.dlpack_deleter_exception()
def test_readonly(self):
x = np.arange(5)
x.flags.writeable = False
with pytest.raises(BufferError):
x.__dlpack__()
def test_ndim0(self):
x = np.array(1.0)
y = np.from_dlpack(x)
assert_array_equal(x, y)
def test_size1dims_arrays(self):
x = np.ndarray(dtype='f8', shape=(10, 5, 1), strides=(8, 80, 4),
buffer=np.ones(1000, dtype=np.uint8), order='F')
y = np.from_dlpack(x)
assert_array_equal(x, y)
|