You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
44 lines
1.4 KiB
44 lines
1.4 KiB
# Copyright 2020 Huawei Technologies Co., Ltd
|
|
#
|
|
# 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 pytest
|
|
import numpy as np
|
|
from mindspore import Tensor
|
|
from mindspore.ops import operations as P
|
|
import mindspore.nn as nn
|
|
import mindspore.context as context
|
|
|
|
class TensorAdd(nn.Cell):
|
|
def __init__(self):
|
|
super(TensorAdd, self).__init__()
|
|
self.add = P.TensorAdd()
|
|
|
|
def construct(self, x, y):
|
|
res = self.add(x, y)
|
|
return res
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_cpu
|
|
@pytest.mark.env_onecard
|
|
def test_tensor_add():
|
|
x = np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32)
|
|
y = np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32)
|
|
|
|
context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
|
|
add = TensorAdd()
|
|
output = add(Tensor(x), Tensor(y))
|
|
assert (output.asnumpy() == x + y).all()
|