larroy commented on a change in pull request #14779: Fully connected, higher
order grad
URL: https://github.com/apache/incubator-mxnet/pull/14779#discussion_r297868293
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File path: tests/python/unittest/test_higher_order_grad.py
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@@ -129,6 +131,44 @@ def check_second_order_unary(x, op, grad_grad_op):
# Validate the gradients.
assert_almost_equal(expected_grad_grad, x.grad.asnumpy())
+class RandomShapes(object):
+ def __init__(self, dim):
+ self.dim = dim
+ self.curdim = 1
+
+ def __iter__(self):
+ return self
+
+ def next(self):
+ return self.__next__()
+
+ def __next__(self):
+ if self.curdim > self.dim:
+ raise StopIteration
+ shape = rand_shape_nd(self.curdim)
+ print(shape)
+ x = nd.random.normal(shape=shape)
+ self.curdim += 1
+ return x
+
+
+@with_seed()
+def test_dense_backward():
Review comment:
Dense calls FullyConnected during forward, do you suggest to use the
symbolic API?
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