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79 lines
2.7 KiB
79 lines
2.7 KiB
# Copyright 2019 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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res = self.add(self.var, y)
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return res
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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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expect1 = np.array([[[[0, 2, 4.],
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[6, 8, 10.],
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[12, 14, 16.]],
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[[18, 20, 22.],
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[24, 26, 28.],
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[30, 32, 34.]],
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[[36, 38, 40.],
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[42, 44, 46.],
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[48, 50, 52.]]]])
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expect2 = np.array([[[[0, 3, 6],
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[9, 12, 15],
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[18, 21, 24]],
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[[27, 30, 33],
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[36, 39, 42],
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[45, 48, 51]],
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[[54, 57, 60],
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[63, 66, 69],
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[72, 75, 78]]]])
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x1 = Tensor(np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32))
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y1 = Tensor(np.arange(1 * 3 * 3 * 3).reshape(1, 3, 3, 3).astype(np.float32))
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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.PYNATIVE_MODE, device_target='GPU')
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add = AssignAdd(x1)
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output1 = add(y1)
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assert (output1.asnumpy() == expect1).all()
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add = AssignAdd(output1)
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output2 = add(y1)
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assert (output2.asnumpy() == expect2).all()
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context.set_context(mode=context.GRAPH_MODE, device_target='GPU')
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add = AssignAdd(x2)
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output1 = add(y2)
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assert (output1.asnumpy() == expect1).all()
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add = AssignAdd(output1)
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output2 = add(y2)
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assert (output2.asnumpy() == expect2).all()
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