12279662243

Committed 11 Dec 2024 03:33PM UTC coverage: 65.029% (-0.06%) from 65.09%

Build # 12279662243

Build Type

Pull #2075

github

Committed by

web-flow

Commit Message

Merge e87174e31 into c4997cc62

Pull Request Pull Request #2075: Handle dpnp functions and tests to run on CUDA devices

Run Details

4604 of 11552 branches covered (39.85%)

Branch coverage included in aggregate %.

49 of 89 new or added lines in 7 files covered. (55.06%)

1 existing line in 1 file now uncovered.

16996 of 21664 relevant lines covered (78.45%)

19739.07 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

57.14

/dpnp/dpnp_iface_libmath.py

# -*- coding: utf-8 -*-
# *****************************************************************************
# Copyright (c) 2016-2024, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# - Redistributions of source code must retain the above copyright notice,
#   this list of conditions and the following disclaimer.
# - Redistributions in binary form must reproduce the above copyright notice,
#   this list of conditions and the following disclaimer in the documentation
#   and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
# THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************

"""
Interface of the function from Python Math library

Notes
-----
This module is a face or public interface file for the library
it contains:
 - Interface functions
 - documentation for the functions
 - The functions parameters check

"""

import math

import dpnp

# pylint: disable=no-name-in-module
from .dpnp_algo import (
    dpnp_erf,
)
from .dpnp_utils import (
    create_output_descriptor_py,
)

__all__ = ["erf"]


def erf(in_array1):
    """
    Returns the error function of complex argument.

    For full documentation refer to :obj:`scipy.special.erf`.

    Limitations
    -----------
    Parameter `in_array1` is supported as :obj:`dpnp.ndarray`.
    Otherwise the function will be executed sequentially on CPU.
    Input array data types are limited by supported DPNP :ref:`Data types`.

    .. seealso:: :obj:`math.erf`

    Examples
    --------
    >>> import dpnp as np
    >>> x = np.linspace(2.0, 3.0, num=5)
    >>> [i for i in x]
    [2.0, 2.25, 2.5, 2.75, 3.0]
    >>> out = np.erf(x)
    >>> [i for i in out]
    [0.99532227, 0.99853728, 0.99959305, 0.99989938, 0.99997791]

    """

    x1_desc = dpnp.get_dpnp_descriptor(
        in_array1, copy_when_strides=False, copy_when_nondefault_queue=False
    )
    if x1_desc:
        if dpnp.is_cuda_backend(x1_desc.get_array()):
            raise NotImplementedError(
                "Running on CUDA is currently not supported"
            )
        return dpnp_erf(x1_desc).get_pyobj()

    result = create_output_descriptor_py(
        in_array1.shape, in_array1.dtype, None
    ).get_pyobj()
    for i in range(result.size):
        result[i] = math.erf(in_array1[i])

    return result

1	# -- coding: utf-8 --
2	# *****************************************************************************
3	# Copyright (c) 2016-2024, Intel Corporation
4	# All rights reserved.
5	#
6	# Redistribution and use in source and binary forms, with or without
7	# modification, are permitted provided that the following conditions are met:
8	# - Redistributions of source code must retain the above copyright notice,
9	# this list of conditions and the following disclaimer.
10	# - Redistributions in binary form must reproduce the above copyright notice,
11	# this list of conditions and the following disclaimer in the documentation
12	# and/or other materials provided with the distribution.
13	#
14	# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
15	# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
16	# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
17	# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
18	# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
19	# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
20	# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
21	# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
22	# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
23	# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
24	# THE POSSIBILITY OF SUCH DAMAGE.
25	# *****************************************************************************
26
27	"""
28	Interface of the function from Python Math library
29
30	Notes
31	-----
32	This module is a face or public interface file for the library
33	it contains:
34	- Interface functions
35	- documentation for the functions
36	- The functions parameters check
37
38	"""
39
40	import math	1✔
41
42	import dpnp	1✔
43
44	# pylint: disable=no-name-in-module
45	from .dpnp_algo import (	1✔
46	dpnp_erf,
47	)
48	from .dpnp_utils import (	1✔
49	create_output_descriptor_py,
50	)
51
52	__all__ = ["erf"]	1✔
53
54
55	def erf(in_array1):	1✔
56	"""
57	Returns the error function of complex argument.
58
59	For full documentation refer to :obj:`scipy.special.erf`.
60
61	Limitations
62	-----------
63	Parameter `in_array1` is supported as :obj:`dpnp.ndarray`.
64	Otherwise the function will be executed sequentially on CPU.
65	Input array data types are limited by supported DPNP :ref:`Data types`.
66
67	.. seealso:: :obj:`math.erf`
68
69	Examples
70	--------
71	>>> import dpnp as np
72	>>> x = np.linspace(2.0, 3.0, num=5)
73	>>> [i for i in x]
74	[2.0, 2.25, 2.5, 2.75, 3.0]
75	>>> out = np.erf(x)
76	>>> [i for i in out]
77	[0.99532227, 0.99853728, 0.99959305, 0.99989938, 0.99997791]
78
79	"""
80
81	x1_desc = dpnp.get_dpnp_descriptor(	1✔
82	in_array1, copy_when_strides=False, copy_when_nondefault_queue=False
83	)
84	if x1_desc:	1!
85	if dpnp.is_cuda_backend(x1_desc.get_array()):	1!
NEW 86	raise NotImplementedError(	×
87	"Running on CUDA is currently not supported"
88	)
89	return dpnp_erf(x1_desc).get_pyobj()	1✔
90
91	result = create_output_descriptor_py(	×
92	in_array1.shape, in_array1.dtype, None
93	).get_pyobj()
94	for i in range(result.size):	×
95	result[i] = math.erf(in_array1[i])	×
96
97	return result	×

IntelPython / dpnp / 12279662243

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous