aaronmarkham commented on a change in pull request #16500: Fixing broken links URL: https://github.com/apache/incubator-mxnet/pull/16500#discussion_r335665652
########## File path: docs/python_docs/python/tutorials/packages/gluon/blocks/hybridize.md ########## @@ -277,10 +277,10 @@ def hybrid_forward(self, F, x): Trying to access the shape of a tensor in a hybridized block would result in this error: `AttributeError: 'Symbol' object has no attribute 'shape'`. -Again, you cannot use the shape of the symbol at runtime as symbols only describe operations and not the underlying data they operate on. -Note: This will change in the future as Apache MXNet will support [dynamic shape inference](https://cwiki.apache.org/confluence/display/MXNET/Dynamic+shape), and the shapes of symbols will be symbols themselves +Again, you cannot use the shape of the symbol at runtime as symbols only describe operations and not the underlying data they operate on. +Note: This will change in the future as Apache MXNet will support [dynamic shape inference](https://cwiki.apache.org/confluence/display/MXNET/Dynamic+shape), and the shapes of symbols will be symbols themselves -There are also a lot of operators that support special indices to help with most of the use-cases where you would want to access the shape information. For example, `F.reshape(x, (0,0,-1))` will keep the first two dimensions unchanged and collapse all further dimensions into the third dimension. See the documentation of the [`F.reshape`](https://mxnet.apache.org/api/python/docs/api/ndarray/_autogen/mxnet.ndarray.reshape.html) for more details. +There are also a lot of operators that support special indices to help with most of the use-cases where you would want to access the shape information. For example, `F.reshape(x, (0,0,-1))` will keep the first two dimensions unchanged and collapse all further dimensions into the third dimension. See the documentation of the [`F.reshape`](/api/python/docs/api/ndarray/ndarray.htmlmxnet.ndarray.reshape.html) for more details. Review comment: ```suggestion There are also a lot of operators that support special indices to help with most of the use-cases where you would want to access the shape information. For example, `F.reshape(x, (0,0,-1))` will keep the first two dimensions unchanged and collapse all further dimensions into the third dimension. See the documentation of the [F.reshape](/api/python/docs/api/ndarray/ndarray.html#mxnet.ndarray.reshape) for more details. ``` ---------------------------------------------------------------- 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: us...@infra.apache.org With regards, Apache Git Services
