41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://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.
|
|
import unittest
|
|
|
|
import numpy as np
|
|
from op_test import get_device_place, is_custom_device
|
|
|
|
import paddle
|
|
from paddle import static
|
|
from paddle.base import core
|
|
|
|
|
|
class Test_Less_Equal_Op_Fp16(unittest.TestCase):
|
|
def test_api_fp16(self):
|
|
paddle.enable_static()
|
|
with static.program_guard(static.Program(), static.Program()):
|
|
label = paddle.to_tensor([3, 3], dtype="float16")
|
|
limit = paddle.to_tensor([3, 2], dtype="float16")
|
|
out = paddle.less_equal(x=label, y=limit)
|
|
if core.is_compiled_with_cuda() or is_custom_device():
|
|
place = get_device_place()
|
|
exe = static.Executor(place)
|
|
(res,) = exe.run(fetch_list=[out])
|
|
self.assertEqual((res == np.array([True, False])).all(), True)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
paddle.enable_static()
|
|
unittest.main()
|