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Posted to commits@mxnet.apache.org by sk...@apache.org on 2018/12/01 07:38:33 UTC
[incubator-mxnet] branch master updated: clarify ops faq regarding
docs strings (#13492)
This is an automated email from the ASF dual-hosted git repository.
skm pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/master by this push:
new 6990b7d clarify ops faq regarding docs strings (#13492)
6990b7d is described below
commit 6990b7d8e27ca6bd79b6df2c4becc8782417a6f8
Author: Aaron Markham <ma...@amazon.com>
AuthorDate: Fri Nov 30 23:38:20 2018 -0800
clarify ops faq regarding docs strings (#13492)
---
docs/faq/add_op_in_backend.md | 20 +++++++++++++-------
1 file changed, 13 insertions(+), 7 deletions(-)
diff --git a/docs/faq/add_op_in_backend.md b/docs/faq/add_op_in_backend.md
index ed906da2..c44a0aa 100644
--- a/docs/faq/add_op_in_backend.md
+++ b/docs/faq/add_op_in_backend.md
@@ -135,7 +135,7 @@ The last line of the above code snippet is a tuple of three lists returned
by `d.infer_shape()`. The first list contains all the argument shapes
of `a`, `b`, and `c`. The second contains the output shape of `d`. The
third one represents the shapes of auxiliary states, which is not used
-in this case, and thus is empty.
+in this case, and thus is empty.
In this example, we only specified values for variable `a`'s first dimension
and `c`'s second dimension. The `0` in shape `(2, 0)` indicates that the size
of the second dimension is unknown, same meaning for shape `(0, 3)`.
@@ -437,10 +437,13 @@ NNVM_REGISTER_OP(quadratic)
where :math:`x` is an input tensor and all operations
in the function are element-wise.
-Example::
- x = [[1, 2], [3, 4]]
- y = quadratic(data=x, a=1, b=2, c=3)
- y = [[6, 11], [18, 27]]
+Example:
+
+ .. code-block:: python
+ :emphasize-lines: 1,3
+ x = [[1, 2], [3, 4]]
+ y = quadratic(data=x, a=1, b=2, c=3)
+ y = [[6, 11], [18, 27]]
)code" ADD_FILELINE) // 4
.set_attr_parser(ParamParser<QuadraticParam>) // 5
@@ -474,8 +477,11 @@ NNVM_REGISTER_OP(_backward_quadratic)
of `Op` type and save it in the operator manager and return a reference
of the just created operator object.
- Lines 3-4: Add description as an operator attribute
-including examples of the operator. The documentation engine would extract
+including examples of the operator. The documentation engine will extract
this description and display it on the documentation web page.
+`emphasize-lines` is optional.
+For more examples and troubleshooting with doc strings, refer to the [MXNet
+developer wiki's Documentation Guide](https://cwiki.apache.org/confluence/display/MXNET/Documentation+Guide).
- Line 5: Set parameter struct parser for the operator. It is used for parsing
the parameters `a`, `b`, and `c` input from frontend.
- Line 6: Set the number of inputs for the operator.
@@ -630,7 +636,7 @@ python tools/flakiness_checker.py test_operator.test_quadratic_function
Please note that for `check_symbolic_forward` and `check_symbolic_backward` we pass
both the operator symbols and expected results for comparison, for
-`check_numeric_gradient` we only pass the operator symbol, as the
+`check_numeric_gradient` we only pass the operator symbol, as the
`check_numeric_gradient` computes the expected value using finite difference
method. Which is why it is highly recommended to add `check_numeric_gradient`
test for every operator with backward function implemented as it eliminates