joddiy commented on issue #557: Broadcast cudnn test passing URL: https://github.com/apache/singa/pull/557#issuecomment-550752560 Hi, shicong, please use this to test __mul__ ``` def test_tensor_add_api(self): def _run_test(s1, s2): x_0 = np.random.random(s1).astype(np.float32) y_0 = np.random.random(s2).astype(np.float32) x0 = tensor.Tensor(device=gpu_dev, data=x_0) y0 = tensor.Tensor(device=gpu_dev, data=y_0) z0 = tensor._call_singa_func(singa_api.__mul__, x0.data, y0.data) #print(s1,s2,tensor.to_numpy(z0).shape) np.testing.assert_array_almost_equal(tensor.to_numpy(z0), x_0+y_0) return # 2d _run_test([3, 4], [3, 4]) # 3d _run_test([3, 4, 5], [3, 4, 5]) # 4d _run_test([3, 4, 5, 6], [3, 4, 5, 6]) # 3d vs 1d _run_test([3, 4, 5], [5]) # 3d vs 2d _run_test([3, 4, 5], [4, 5]) # 4d vs 2d _run_test([3, 4, 5, 6], [5, 6]) # 4d vs 3d _run_test([3, 4, 5, 6], [4, 5, 6]) # 4d vs 4d _run_test([1, 4, 1, 6], [3, 1, 5, 6]) ```
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