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58 lines
2.0 KiB
58 lines
2.0 KiB
# Copyright 2021 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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import numpy as np
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import pytest
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import mindspore.context as context
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import mindspore.nn as nn
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from mindspore import Tensor, Parameter
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from mindspore.ops import operations as P
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class AssignAdd(nn.Cell):
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def __init__(self, value):
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super(AssignAdd, self).__init__()
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self.var = Parameter(value, name="var")
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self.add = P.AssignAdd()
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def construct(self, y):
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self.add(self.var, y)
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return self.var
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@pytest.mark.level0
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.env_onecard
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def test_assign_add():
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x2 = Tensor(np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32))
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y2 = Tensor(np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32))
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context.set_context(mode=context.GRAPH_MODE,
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enable_graph_kernel=True, device_target="GPU")
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add = AssignAdd(x2)
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result_gk_on_1 = add(y2)
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add_2 = AssignAdd(result_gk_on_1)
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result_gk_on_2 = add_2(y2)
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context.set_context(mode=context.GRAPH_MODE,
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enable_graph_kernel=False, device_target="GPU")
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add_beta = AssignAdd(x2)
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result_gk_off_1 = add_beta(y2)
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add_beta_2 = AssignAdd(result_gk_off_1)
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result_gk_off_2 = add_beta_2(y2)
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assert (result_gk_on_1.asnumpy() == result_gk_off_1.asnumpy()).all()
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assert (result_gk_on_2.asnumpy() == result_gk_off_2.asnumpy()).all()
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