joddiy commented on a change in pull request #496: SINGA-474 Mean operator
URL: https://github.com/apache/incubator-singa/pull/496#discussion_r310467053
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File path: test/python/test_operation.py
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@@ -322,6 +335,48 @@ def test_LeakyRelu(self):
np.testing.assert_array_almost_equal(tensor.to_numpy(result), XT)
self.check_shape(dx.shape(), (3, 2))
+ def test_Mean_gpu(self):
+ x0 = np.array([-0.9, -0.3, -0.1, 0.1, 0.5, 0.9]).reshape(3,
2).astype(np.float32)
+ x1 = np.array([0, -0.3, 0, 0.1, 0, 0.9]).reshape(3,
2).astype(np.float32)
+ y = (x0+x1)/2
+ lossf =lambda x,y:np.sum((x+y)/2)
+ grad=eval_numerical_gradient(lossf,x0,x1)
+ grad1=eval_numerical_gradient(lossf,x1,x0)
Review comment:
For example, the function is ```(X + X')/2```, at the first call, you
calculate the gradient of x0 based on (x0+x1)/2, but at the second call, you
calculate the gradient at x1 based on (x1+x0)/2. I think the two are still same.
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