forked from mindspore-Ecosystem/mindspore
59 lines
1.8 KiB
Python
59 lines
1.8 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
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from mindspore.ops import operations as P
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class NetZerosLike(nn.Cell):
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def __init__(self):
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super(NetZerosLike, self).__init__()
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self.zeros_like = P.ZerosLike()
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def construct(self, x):
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return self.zeros_like(x)
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu_training
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@pytest.mark.env_onecard
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def test_ZerosLike():
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x0_np = np.random.uniform(-2, 2, (2, 3, 4, 4)).astype(np.float32)
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x1_np = np.random.uniform(-2, 2, 1).astype(np.float32)
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x0 = Tensor(x0_np)
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x1 = Tensor(x1_np)
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context.set_context(mode=context.GRAPH_MODE, device_target="CPU")
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zeros_like = NetZerosLike()
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output0 = zeros_like(x0)
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expect0 = np.zeros_like(x0_np)
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diff0 = output0.asnumpy() - expect0
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error0 = np.ones(shape=expect0.shape) * 1.0e-5
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assert np.all(diff0 < error0)
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assert output0.shape == expect0.shape
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output1 = zeros_like(x1)
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expect1 = np.zeros_like(x1_np)
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diff1 = output1.asnumpy() - expect1
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error1 = np.ones(shape=expect1.shape) * 1.0e-5
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assert np.all(diff1 < error1)
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assert output1.shape == expect1.shape
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