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- # Copyright 2021 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.context as context
- import mindspore.nn as nn
- from mindspore import Tensor, Parameter
- from mindspore.ops import operations as P
-
-
- class AssignAdd(nn.Cell):
- def __init__(self, value):
- super(AssignAdd, self).__init__()
- self.var = Parameter(value, name="var")
- self.add = P.AssignAdd()
-
- def construct(self, y):
- self.add(self.var, y)
- return self.var
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_gpu_training
- @pytest.mark.env_onecard
- def test_assign_add():
- x2 = Tensor(np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32))
- y2 = Tensor(np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32))
-
- context.set_context(mode=context.GRAPH_MODE,
- enable_graph_kernel=True, device_target="GPU")
- add = AssignAdd(x2)
- result_gk_on_1 = add(y2)
- add_2 = AssignAdd(result_gk_on_1)
- result_gk_on_2 = add_2(y2)
-
- context.set_context(mode=context.GRAPH_MODE,
- enable_graph_kernel=False, device_target="GPU")
- add_beta = AssignAdd(x2)
- result_gk_off_1 = add_beta(y2)
- add_beta_2 = AssignAdd(result_gk_off_1)
- result_gk_off_2 = add_beta_2(y2)
- assert (result_gk_on_1.asnumpy() == result_gk_off_1.asnumpy()).all()
- assert (result_gk_on_2.asnumpy() == result_gk_off_2.asnumpy()).all()
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