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How to use test_func3 method in pandera

Best Python code snippet using pandera_python

test_shape_convert.py

Source:test_shape_convert.py

...18        return x19    x = torch.rand(*shape_nchw)20    output = nchw2nlc2nchw(test_func2, x, arg=100)21    assert output.shape == torch.Size(shape_nchw)22    def test_func3(x):23        assert x.is_contiguous()24        assert x.shape == torch.Size(shape_nlc)25        return x26    x = torch.rand(*shape_nchw)27    output = nchw2nlc2nchw(test_func3, x, contiguous=True)28    assert output.shape == torch.Size(shape_nchw)29    assert output.is_contiguous()30def test_nlc2nchw2nlc():31    # Test nlc2nchw2nlc function32    shape_nchw = (4, 2, 5, 5)33    shape_nlc = (4, 25, 2)34    def test_func(x):35        assert x.shape == torch.Size(shape_nchw)36        return x37    x = torch.rand(*shape_nlc)38    output = nlc2nchw2nlc(test_func, x, shape_nchw[2:])39    assert output.shape == torch.Size(shape_nlc)40    def test_func2(x, arg):41        assert x.shape == torch.Size(shape_nchw)42        assert arg == 10043        return x44    x = torch.rand(*shape_nlc)45    output = nlc2nchw2nlc(test_func2, x, shape_nchw[2:], arg=100)46    assert output.shape == torch.Size(shape_nlc)47    def test_func3(x):48        assert x.is_contiguous()49        assert x.shape == torch.Size(shape_nchw)50        return x51    x = torch.rand(*shape_nlc)52    output = nlc2nchw2nlc(test_func3, x, shape_nchw[2:], contiguous=True)53    assert output.shape == torch.Size(shape_nlc)54    assert output.is_contiguous()55def test_nchw_to_nlc():56    # Test nchw_to_nlc function57    shape_nchw = (4, 2, 5, 5)58    shape_nlc = (4, 25, 2)59    x = torch.rand(*shape_nchw)60    y = nchw_to_nlc(x)61    assert y.shape == torch.Size(shape_nlc)...

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