From e112b7c2955cfe739994e683cdc5392658341769 Mon Sep 17 00:00:00 2001
From: liutuo <liutuo@xiaomi.com>
Date: Wed, 11 Jul 2018 15:55:33 +0800
Subject: [PATCH] update docs

---
 docs/user_guide/advanced_usage.rst | 22 +++++++++++-----------
 docs/user_guide/op_lists.rst       |  7 +++----
 2 files changed, 14 insertions(+), 15 deletions(-)

diff --git a/docs/user_guide/advanced_usage.rst b/docs/user_guide/advanced_usage.rst
index cbd8c3cc..2cdca66e 100644
--- a/docs/user_guide/advanced_usage.rst
+++ b/docs/user_guide/advanced_usage.rst
@@ -1,19 +1,19 @@
-==============
+===============
 Advanced usage
-==============
+===============
 
 This part contains the full usage of MACE.
 
-=========
+---------
 Overview
-=========
+---------
 
 As mentioned in the previous part, a model deployment file defines a case of model deployment.
 The whole building process is loading a deployment file, converting models, building MACE and packing generated files.
 
-================
+----------------
 Deployment file
-================
+----------------
 
 
 One deployment file will generate one library normally, but if more than one ABIs are specified,
@@ -24,7 +24,7 @@ in one deployment file.
 
 * **Example**
 
-    Here is an example deployment file used by an Android demo application.
+    Here is an example deployment file with two models.
 
     .. literalinclude:: models/demo_app_models.yml
         :language: yaml
@@ -105,9 +105,9 @@ in one deployment file.
         sha256sum /path/to/your/file
 
 
-==============
+---------------
 Advanced Usage
-==============
+---------------
 
 There are two common advanced use cases: 1. convert a model to CPP code. 2. tuning for specific SOC if use GPU.
 
@@ -274,9 +274,9 @@ There are two common advanced use cases: 1. convert a model to CPP code. 2. tuni
             // ... Same with the code in basic usage.
 
 
-===============
+----------------
 Useful Commands
-===============
+----------------
 * **run the model**
 
 .. code:: sh
diff --git a/docs/user_guide/op_lists.rst b/docs/user_guide/op_lists.rst
index 4df013c2..7bff5f32 100644
--- a/docs/user_guide/op_lists.rst
+++ b/docs/user_guide/op_lists.rst
@@ -3,7 +3,6 @@ Operator lists
 
 .. Please keep in chronological order when editing
 .. csv-table::
-    :widths: auto
     :header: "Operator","Supported","Remark"
 
     "AVERAGE_POOL_2D","Y",""
@@ -27,17 +26,17 @@ Operator lists
     "LOCAL_RESPONSE_NORMALIZATION","Y",""
     "LOGISTIC","Y",""
     "LSTM","",""
-    "MATMUL","Y",""
+    "MATMUL","Y","Only CPU is supported"
     "MAX_POOL_2D","Y",""
     "PAD","Y",""
     "PSROI_ALIGN","Y",""
     "PRELU","Y","Only caffe model is supported"
-    "REDUCE_MEAN","Y","Only tensorflow model is supported"
+    "REDUCE_MEAN","Y","Only tensorflow model is supported. For GPU only H + W axis reduce is supported"
     "RELU","Y",""
     "RELU1","Y",""
     "RELU6","Y",""
     "RELUX","Y",""
-    "RESHAPE","Y","Limited support: only internal use of reshape in composed operations is supported"
+    "RESHAPE","Y","Limited support: GPU is full supported, for CPU only supports softmax-like usage"
     "RESIZE_BILINEAR","Y",""
     "RNN","",""
     "RPN_PROPOSAL_LAYER","Y",""
-- 
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