52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
# Copyright 2023 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 numpy as np
|
|
import pytest
|
|
import mindspore.nn as nn
|
|
from mindspore import Tensor
|
|
from mindspore.ops import operations as P
|
|
from mindspore.common.api import _bind_device_context
|
|
|
|
|
|
class Add(nn.Cell):
|
|
def __init__(self):
|
|
super(Add, self).__init__()
|
|
self.add = P.Add()
|
|
|
|
def construct(self, x1, x2):
|
|
return self.add(x1, x2)
|
|
|
|
|
|
@pytest.mark.level0
|
|
@pytest.mark.platform_x86_gpu_training
|
|
@pytest.mark.env_onecard
|
|
def test_bind_cuda_ctx_api():
|
|
"""
|
|
Feature: _bind_device_ctx api
|
|
Description: Test _bind_device_ctx api.
|
|
Expectation: The results are as expected
|
|
"""
|
|
x1 = Tensor(np.array([1]))
|
|
x2 = Tensor(np.array([2]))
|
|
|
|
_bind_device_context()
|
|
net = Add()
|
|
output = net(x1, x2)
|
|
assert output.asnumpy() == np.array([3])
|
|
|
|
_bind_device_context()
|
|
output = net(x1, output)
|
|
assert output.asnumpy() == np.array([4])
|