560a4a56a72432bf7e90b7ca350b5768d3a4c168,theano/gpuarray/tests/test_dnn.py,TestDnnInferShapes,test_pool_3d_grad,#TestDnnInferShapes#,867

Before Change

        for params in product(
            [(1, 1, 1), (2, 2, 2), (3, 3, 3)],
            [(1, 1, 1), (2, 2, 2), (3, 3, 3)],
            ["max", "average_inc_pad"]
        ):
            pool_grad = dnn.GpuDnnPoolGrad(mode=params[2])(
                img,
                out,

After Change

            [(1, 1, 1), (2, 2, 2), (3, 3, 3)],
            [(1, 1, 1), (2, 2, 2), (3, 3, 3)],
            // modes without `average_exc_pad`
            [m for m in get_dnn_pool_modes() if m != "average_exc_pad"]
        ):
            pool_grad = dnn.GpuDnnPoolGrad(mode=params[2])(
                img,

Instances