joddiy commented on a change in pull request #496: SINGA-474 Mean operator
URL: https://github.com/apache/incubator-singa/pull/496#discussion_r310463919
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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:
you can write it here because it doesn't matter when you change the order of
x0 and x1 for ADD function. But when you write DIV function, you can not just
switch it, because 'x0/x1' is different from '1x/x0'
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