access2rohit commented on a change in pull request #19306:
URL: https://github.com/apache/incubator-mxnet/pull/19306#discussion_r501254484
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File path: tests/nightly/test_np_large_array.py
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@@ -665,6 +665,24 @@ def test_subtract():
assert B.grad.shape == (INT_OVERFLOW, 2)
assert B.grad[0][0] == -1
+@use_np
+def test_polyval():
+ poly = np.array([1, 1, 5])
+ inp = np.zeros((2, INT_OVERFLOW))
+ inp[-1, -1] = 2
+ poly.attach_grad()
+ inp.attach_grad()
+ with mx.autograd.record():
+ out = np.polyval(poly, inp)
+ out.backward()
+ assert out.shape == inp.shape
+ assert out[-1, -1] == 11 and out[0, 0] == 5
+ assert inp.grad.shape == inp.shape
+ assert inp.grad[-1, -1] == 5
+ assert poly.grad.shape == poly.shape
+ assert poly.grad[0] == 4
Review comment:
i understood the gradient of input. Can you explain gradient for poly ?
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