[GitHub] [incubator-mxnet] aaronmarkham commented on a change in pull request #16581: Fixing Links across a variety of files

[GitBox <gi...@apache.org>]

aaronmarkham commented on a change in pull request #16581: Fixing Links across a variety of files
URL: https://github.com/apache/incubator-mxnet/pull/16581#discussion_r337807821
 
 

 ##########
 File path: docs/python_docs/python/tutorials/getting-started/to-mxnet/pytorch.md
 ##########
 @@ -212,13 +212,13 @@ Some of the differences in Apache MXNet when compared to PyTorch are as follows:
 
 * In Apache MXNet, you don't need to flatten the 4-D input into 2-D when feeding the data into forward pass.
 
-* In Apache MXNet, you need to perform the calculation within the [autograd.record()](/api/python/docs/api/gluon-related/_autogen/mxnet.autograd.record.html) scope so that it can be automatically differentiated in the backward pass.
+* In Apache MXNet, you need to perform the calculation within the [autograd.record()](/api/python/docs/api/autograd/index.html?autograd%20record#mxnet.autograd.record) scope so that it can be automatically differentiated in the backward pass.
 
 * It is not necessary to clear the gradient every time as with PyTorch's `trainer.zero_grad()` because by default the new gradient is written in, not accumulated.
 
-* You need to specify the update step size (usually batch size) when performing [step()](/api/python/docs/api/gluon/_autogen/mxnet.gluon.Trainer.step.html) on the trainer.
+* You need to specify the update step size (usually batch size) when performing [step()](/api/python/docs/api/gluon/trainer.html?#mxnet.gluon.Trainer.step) on the trainer.
 
-* You need to call [.asscalar()](/api/python/docs/api/ndarray/_autogen/mxnet.ndarray.NDArray.asscalar.html) to turn a multidimensional array into a scalar.
+* You need to call [.asscalar()](/api/python/docs/api/ndarray/ndarray.html?#mxnet.ndarray.NDArray.asscalar) to turn a multidimensional array into a scalar.
 
 Review comment:
   You don't need the ? mark here.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services