forked from mindspore-Ecosystem/mindspore
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
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# Copyright 2022 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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from mindspore import Tensor
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from mindspore.ops import operations as P
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu
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@pytest.mark.env_onecard
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def test_data_formata_dim_map():
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"""
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Feature: DataFormatDimMapNet cpu kernel.
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Description: test the rightness of DataFormatDimMapNet cpu kernel.
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Expectation: Success.
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"""
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x_np_1 = np.array([-4, -3, -2, -1, 0, 1, 2, 3]).astype(np.int32)
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output_1 = P.DataFormatDimMap()(Tensor(x_np_1))
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output_1_expect = np.array([0, 2, 3, 1, 0, 2, 3, 1]).astype(np.int32)
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assert np.allclose(output_1.asnumpy(), output_1_expect)
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output_2 = P.DataFormatDimMap(src_format="NHWC", dst_format="NHWC")(Tensor(x_np_1))
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output_2_expect = np.array([0, 1, 2, 3, 0, 1, 2, 3]).astype(np.int32)
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assert np.allclose(output_2.asnumpy(), output_2_expect)
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output_3 = P.DataFormatDimMap(src_format="NCHW", dst_format="NHWC")(Tensor(x_np_1))
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output_3_expect = np.array([0, 3, 1, 2, 0, 3, 1, 2]).astype(np.int32)
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assert np.allclose(output_3.asnumpy(), output_3_expect)
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