forked from mindspore-Ecosystem/mindspore
33 lines
875 B
Python
33 lines
875 B
Python
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import pytest
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import mindspore.common.dtype as mstype
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import mindspore.nn as nn
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from mindspore import Tensor
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from mindspore import context
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class Net(nn.Cell):
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def construct(self, x):
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return x.ndimension()
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@pytest.mark.level0
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@pytest.mark.platform_x86_cpu
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@pytest.mark.platform_arm_cpu
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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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@pytest.mark.parametrize('mode', [context.GRAPH_MODE, context.PYNATIVE_MODE])
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def test_ndimension(mode):
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"""
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Feature: tensor.ndimension()
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Description: Verify the result of tensor.ndimension
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Expectation: success
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"""
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context.set_context(mode=mode)
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net = Net()
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x = Tensor([[1.5, 2.0], [3, 4.6], [0.3, 4.6]], dtype=mstype.float32)
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output = net(x)
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expected = 2
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assert output == expected
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