forked from mindspore-Ecosystem/mindspore
68 lines
2.4 KiB
Python
68 lines
2.4 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 numpy as np
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import pytest
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from mindspore import Tensor
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import mindspore.context as context
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import mindspore.common.dtype as mstype
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from mindspore.ops import functional as F
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def test_fold_functional_api():
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"""
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Feature: test fold functional API.
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Description: test case for fold functional API.
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Expectation: the result match with expected result.
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"""
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x = Tensor(np.ones([16, 16, 4, 25]), mstype.float32)
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output_size = Tensor([8, 8], mstype.int32)
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output = F.fold(x, output_size, kernel_size=[2, 2], dilation=[2, 2], padding=[2, 2], stride=[2, 2])
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expected_shape = (16, 16, 8, 8)
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assert output.dtype == x.dtype
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assert output.shape == expected_shape
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def test_fold_tensor_api():
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"""
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Feature: test fold tensor API.
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Description: test case for fold tensor API.
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Expectation: the result match with expected result.
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"""
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x = Tensor(np.ones([16, 16, 4, 25]), mstype.float32)
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output_size = Tensor([8, 8], mstype.int32)
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output = x.fold(output_size, kernel_size=[2, 2], dilation=[2, 2], padding=[2, 2], stride=[2, 2])
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expected_shape = (16, 16, 8, 8)
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assert output.dtype == x.dtype
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assert output.shape == expected_shape
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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_fold_tensor_functional_api_modes():
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"""
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Feature: test fold tensor and functional APIs for different modes.
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Description: test case for fold tensor API.
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Expectation: the result match with expected result.
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"""
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context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
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test_fold_functional_api()
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test_fold_tensor_api()
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context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
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test_fold_functional_api()
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test_fold_tensor_api()
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