I have one question about markdown in git, and how it rendered in website.
for example,
  

      github.com
  

  
    tensorflow/tensorflow/blob/master/tensorflow/compiler/xla/g3doc/operation_semantics.md#allgather 1


    # Operation Semantics

The following describes the semantics of operations defined in the
[`XlaBuilder`](https://www.tensorflow.org/code/tensorflow/compiler/xla/client/xla_builder.h)
interface. Typically, these operations map one-to-one to operations defined in
the RPC interface in
[`xla_data.proto`](https://www.tensorflow.org/code/tensorflow/compiler/xla/xla_data.proto).

A note on nomenclature: the generalized data type XLA deals with is an
N-dimensional array holding elements of some uniform type (such as 32-bit
float). Throughout the documentation, *array* is used to denote an
arbitrary-dimensional array. For convenience, special cases have more specific
and familiar names; for example a *vector* is a 1-dimensional array and a
*matrix* is a 2-dimensional array.

## AfterAll

See also
[`XlaBuilder::AfterAll`](https://www.tensorflow.org/code/tensorflow/compiler/xla/client/xla_builder.h).




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source code is




Arguments
Type
Semantics




operand
XlaOp
Array to concatenate across



:                  :                      : replicas.                   :
| all_gather_dim | int64              | Concatenation dimension.    |
| replica_groups | vector of vectors of | Groups between which the    |
:                  : int64              : concatenation is performed. :
| channel_id     | optional int64     | Optional channel ID for     |
:                  :                      : cross-module communication. :
rendered in github is wrong

image772×480 23.7 KB

but rendered in website is right.
I read Contribute to the TensorFlow documentation 1,
but find nothing about the format.
Can anyone help to solve my confusion?
how to follow markdown format in table?
is there any format tool?
any suggestions is welcome,
thanks in advance.