forked from mindspore-Ecosystem/mindspore
83 lines
2.9 KiB
Python
83 lines
2.9 KiB
Python
# 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 AssignSub(nn.Cell):
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def __init__(self, value):
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super(AssignSub, self).__init__()
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self.var = Parameter(value, name="var")
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self.sub = P.AssignSub()
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def construct(self, y):
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res = self.sub(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_sub():
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"""
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Feature: assign sub kernel
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Description: test the assign sub.
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Expectation: match to expect.
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"""
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expect1 = np.array([[[[0., 0., 0.],
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[0., 0., 0.],
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[0., 0., 0.]],
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[[0., 0., 0.],
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[0., 0., 0.],
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[0., 0., 0.]],
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[[0., 0., 0.],
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[0., 0., 0.],
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[0., 0., 0.]]]])
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expect2 = np.array([[[[0, -1, -2.],
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[-3, -4, -5.],
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[-6, -7, -8.]],
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[[-9, -10, -11.],
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[-12, -13, -14.],
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[-15, -16, -17.]],
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[[-18, -19, -20.],
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[-21, -22, -23.],
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[-24, -25, -26.]]]])
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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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sub = AssignSub(x1)
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output1 = sub(y1)
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assert (output1.asnumpy() == expect1).all()
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sub = AssignSub(output1)
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output2 = sub(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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sub = AssignSub(x2)
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output1 = sub(y2)
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assert (output1.asnumpy() == expect1).all()
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sub = AssignSub(output1)
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output2 = sub(y2)
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assert (output2.asnumpy() == expect2).all()
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