forked from mindspore-Ecosystem/mindspore
37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
import numpy as np
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import pytest
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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.triu(diagonal=1)
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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.env_onecard
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@pytest.mark.parametrize('mode', [context.GRAPH_MODE, context.PYNATIVE_MODE])
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def test_subtract(mode):
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"""
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Feature: tensor.subtract()
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Description: Verify the result of tensor.subtract
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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(np.array([[1, 2, 3, 4],
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[5, 6, 7, 8],
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[10, 11, 12, 13],
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[14, 15, 16, 17]]))
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output = net(x)
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expected = np.array([[0, 2, 3, 4],
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[0, 0, 7, 8],
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[0, 0, 0, 13],
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[0, 0, 0, 0]])
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assert np.array_equal(output.asnumpy(), expected)
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