forked from mindspore-Ecosystem/mindspore
42 lines
1.4 KiB
Python
42 lines
1.4 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 pytest
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from mindspore import Tensor, context, nn
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from mindspore.common import dtype as mstype
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@pytest.mark.level1
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@pytest.mark.platform_x86_gpu_training
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@pytest.mark.platform_arm_ascend_training
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@pytest.mark.platform_x86_ascend_training
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@pytest.mark.env_onecard
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def test_tensor_slice():
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"""
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Feature: Test tensor slice.
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Description: Tensor getitem by a single bool value.
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Expectation: No exception.
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"""
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class Net(nn.Cell):
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def construct(self, input_x):
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return input_x[True] + 1.0
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x = Tensor(2.0, mstype.float32)
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net = Net()
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context.set_context(mode=context.GRAPH_MODE)
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graph_out = net(x)
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context.set_context(mode=context.PYNATIVE_MODE)
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pynative_out = net(x)
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assert graph_out == pynative_out
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