forked from mindspore-Ecosystem/mindspore
78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
# 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 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 functional as F
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import mindspore.context as context
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context.set_context(mode=context.GRAPH_MODE, device_target='CPU')
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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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@pytest.mark.parametrize('dtype, eps', [(np.float16, 1.0e-3), (np.float32, 1.0e-6), (np.float64, 1.0e-6)])
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def test_pdist_normal(dtype, eps):
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"""
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Feature: Pdist cpu kernel
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Description: test the Pdist p = 2.0.
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Expectation: the output matches numpy
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"""
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x = Tensor(np.array([[1., 1.], [2., 2.], [3., 3.]], dtype=dtype))
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error = np.ones(shape=(3,)) * eps
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output = F.pdist(x, p=2.0)
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expect = np.array([1.41421356, 2.82842712, 1.41421356], dtype=dtype)
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diff = np.abs(output.asnumpy() - expect)
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assert np.all(diff < error)
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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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@pytest.mark.parametrize('dtype, eps', [(np.float16, 1.0e-3), (np.float32, 1.0e-6), (np.float64, 1.0e-6)])
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def test_pdist_zero(dtype, eps):
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"""
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Feature: Pdist cpu kernel
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Description: test the Pdist p = 0.0.
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Expectation: the output matches numpy
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"""
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x = Tensor(np.array([[1., 1.], [2., 2.], [3., 3.]], dtype=dtype))
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error = np.ones(shape=(3,)) * eps
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output = F.pdist(x, p=0.0)
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expect = np.array([2., 2., 2.], dtype=dtype)
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diff = np.abs(output.asnumpy() - expect)
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assert np.all(diff < error)
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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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@pytest.mark.parametrize('dtype, eps', [(np.float16, 1.0e-3), (np.float32, 1.0e-6), (np.float64, 1.0e-6)])
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def test_pdist_inf(dtype, eps):
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"""
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Feature: Pdist cpu kernel
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Description: test the Pdist p = inf.
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Expectation: the output matches numpy
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"""
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x = Tensor(np.array([[1., 1.], [2., 2.], [3., 3.]], dtype=dtype))
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error = np.ones(shape=(3,)) * eps
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output = F.pdist(x, p=float('inf'))
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expect = np.array([1., 2., 1.], dtype=dtype)
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diff = np.abs(output.asnumpy() - expect)
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assert np.all(diff < error)
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