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65 lines
2.2 KiB
65 lines
2.2 KiB
5 years ago
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# 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 pytest
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import numpy as np
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from mindspore import Tensor
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from mindspore.ops import operations as P
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import mindspore.nn as nn
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import mindspore.context as context
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class NetSoftmax(nn.Cell):
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def __init__(self):
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super(NetSoftmax, self).__init__()
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axis = -2
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self.softmax1 = P.Softmax()
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self.softmax2 = P.Softmax(axis)
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def construct(self, x):
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return self.softmax1(x), self.softmax2(x)
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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_softmax():
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x = Tensor(np.array([[0.1, 0.3, 0.6, -0.3],
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[0.2, -0.6, 0.8, 0.6],
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[0.6, -1.2, 0.4, 0.6]]).astype(np.float32))
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expect1 = np.ones(3)
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expect2 = np.ones(4)
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error1 = expect1 * 1.0e-6
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error2 = expect2 * 1.0e-6
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context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
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Softmax = NetSoftmax()
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output = Softmax(x)
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outputSum1 = output[0].asnumpy().sum(axis=1)
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outputSum2 = output[1].asnumpy().sum(axis=0)
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diff1 = np.abs(outputSum1 - expect1)
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diff2 = np.abs(outputSum2 - expect2)
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assert np.all(diff1 < error1)
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assert np.all(diff2 < error2)
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context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
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Softmax = NetSoftmax()
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output = Softmax(x)
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outputSum1 = output[0].asnumpy().sum(axis=1)
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outputSum2 = output[1].asnumpy().sum(axis=0)
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diff1 = np.abs(outputSum1 - expect1)
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diff2 = np.abs(outputSum2 - expect2)
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assert np.all(diff1 < error1)
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assert np.all(diff2 < error2)
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