forked from mindspore-Ecosystem/mindspore
64 lines
1.9 KiB
Python
64 lines
1.9 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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"""
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test pooling api
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"""
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import numpy as np
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import mindspore as ms
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import mindspore.nn as nn
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import mindspore.ops as ops
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from mindspore.common.api import _cell_graph_executor
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class LPPool1d(nn.Cell):
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"""LPPool1d"""
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def construct(self, x):
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output = ops.lp_pool1d(x, norm_type=1, kernel_size=3, stride=1)
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return output
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def test_compile_lpool1d():
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"""
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Feature: Test LPPool1d
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Description: Test the functionality of LPPool1d
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Expectation: Success
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"""
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net = LPPool1d()
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x = ms.Tensor(np.arange(2 * 3 * 4).reshape((2, 3, 4)), dtype=ms.float32)
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y = ms.Tensor(np.arange(3 * 4).reshape((3, 4)), dtype=ms.float32)
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_cell_graph_executor.compile(net, x)
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_cell_graph_executor.compile(net, y)
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class LPPool2d(nn.Cell):
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"""LPPool2d"""
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def construct(self, x):
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out = ops.lp_pool2d(x, norm_type=1, kernel_size=3, stride=1)
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return out
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def test_compile_lppool2d():
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"""
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Feature: Test LPPool2d
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Description: Test the functionality of LPPool2d
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Expectation: Success
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"""
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net = LPPool2d()
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x = ms.Tensor(np.arange(2 * 3 * 4 * 5).reshape((2, 3, 4, 5)), dtype=ms.float32)
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_cell_graph_executor.compile(net, x)
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