cavis/jumpy/tests/jumpy/test_broadcast.py

76 lines
1.9 KiB
Python

################################################################################
# Copyright (c) 2015-2018 Skymind, Inc.
#
# This program and the accompanying materials are made available under the
# terms of the Apache License, Version 2.0 which is available at
# https://www.apache.org/licenses/LICENSE-2.0.
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
#
# SPDX-License-Identifier: Apache-2.0
################################################################################
import pytest
import jumpy as jp
import numpy as np
from numpy.testing import assert_allclose
def _test_ufunc(op, shape1, shape2):
a_np = np.random.random(shape1)
b_np = np.random.random(shape2)
c_np = eval('a_np {} b_np'.format(op))
a_jp = jp.array(a_np)
b_jp = jp.array(b_np)
c_jp = eval('a_jp {} b_jp'.format(op))
c_jp = c_jp.numpy()
assert_allclose(c_jp, c_np)
def _test_ufunc_inplace(op, shape1, shape2):
a_np = np.random.random(shape1)
b_np = np.random.random(shape2)
a_np2 = a_np.copy()
exec('a_np {}= b_np'.format(op))
a_jp = jp.array(a_np2)
b_jp = jp.array(b_np)
exec('a_jp {}= b_jp'.format(op))
a_jp = a_jp.numpy()
assert_allclose(a_jp, a_np)
def test_broadcast():
shapes = [
[(2, 3), (3, )],
[(2, 3, 4), (3, 4)],
[(2, 3), (1, 1)],
[(2, 3), (1, 1, 1)]
]
ops = ['+', '-', '*', '/']
for op in ops:
for shape in shapes:
_test_ufunc(op, *shape)
_test_ufunc(op, *reversed(shape))
if len(shape[0]) > len(shape[1]):
_test_ufunc_inplace(op, *shape)
if __name__ == '__main__':
pytest.main([__file__])