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- # Copyright 2021 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- import numpy as np
- import pytest
- import mindspore.context as context
- import mindspore.nn as nn
- from mindspore import Tensor
- from mindspore.ops import operations as P
-
-
- class Net(nn.Cell):
- def __init__(self, axis):
- super(Net, self).__init__()
- self.squeeze = P.Squeeze(axis)
-
- def construct(self, x):
- return self.squeeze(x)
-
-
- def get_output(x, axis=(), enable_graph_kernel=False):
- context.set_context(enable_graph_kernel=enable_graph_kernel)
- net = Net(axis)
- output = net(x)
- return output
-
-
- def test_squeeze(shape, dtype, axis=()):
- x = Tensor(np.random.normal(0, 10, shape).astype(dtype))
- expect = get_output(x, axis, False)
- output = get_output(x, axis, True)
- assert np.allclose(expect.asnumpy(), output.asnumpy(), 0.0001, 0.0001)
-
-
- @pytest.mark.level0
- @pytest.mark.platform_x86_gpu_training
- @pytest.mark.env_onecard
- def test_squeeze_gpu():
- context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
- test_squeeze((1, 16, 1, 1), np.int32)
- test_squeeze((1, 16, 1, 1), np.float32, (0, 2))
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