Move all docs from release2.3 to develop, test=develop, test=document_fix (#3037)

docs/advanced_user_guides/support_operation_list.md

@@ -110,6 +110,7 @@
 - equal
 - gather
 - generate_proposals
+- graph_op
 - greater_equal
 - greater_than
 - gru
@@ -153,7 +154,6 @@
 - sequence_expand
 - sequence_expand_as
 - sequence_pool
-- sequence_pool_concat
 - sequence_reshape
 - sequence_reverse
 - sequence_softmax
@@ -226,7 +226,6 @@
 - generate_proposals
 - greater_equal
 - greater_than
-- grid_sampler
 - gru
 - gru_unit
 - hard_sigmoid
@@ -312,9 +311,6 @@
 - gelu
 - gru
 - layer_norm
-- leaky_relu
-- lookup_table
-- lookup_table_v2
 - match_matrix_tensor
 - matmul
 - mul
@@ -392,11 +388,9 @@
 - yolo_box
 
 ### OpenCL kernels
-- concat
 - conv2d
 - depthwise_conv2d
 - elementwise_add
-- elementwise_mul
 - fc
 - fusion_elementwise_add_activation
 - layout
@@ -404,10 +398,5 @@
 - io_copy
 - io_copy_once
 - mul
-- nearest_interp
 - pool2d
 - relu
-- reshape
-- reshape2
-- scale
-- sigmoid

docs/benchmark/benchmark.md

@@ -15,14 +15,12 @@
     * int8模型
         * mobilenet_v1
         * mobilenet_v2
-        * resnet50
 
 * 测试机器(android ndk ndk-r17c)
    *  骁龙855
       * xiaomi mi9, snapdragon 855 
       * 4xA76(1@2.84GHz + 3@2.4GHz) + 4xA55@1.78GHz
 
-
    *  骁龙845
       * xiaomi mi8, 845
       * 2.8GHz（大四核），1.7GHz（小四核）
@@ -31,19 +29,11 @@
       * xiaomi mix2, snapdragon 835
       * 2.45GHz（大四核），1.9GHz（小四核）
 
-   *  骁龙625
-      * oppo R9s, snapdragon625
-      * A53 x 8, big core@2.0GHz
- 
-   * 骁龙653
-      * 360 N5, snapdragon 653
-      * 4 x A73@2.0GHz + 4 x A53@1.4GHz
- 
    * 麒麟970
       * HUAWEI Mate10
  
 * 测试说明
-    * branch: release/2.0.0
+    * branch: release/v2.3.0
     * warmup=10, repeats=30，统计平均时间，单位是ms
     * 当线程数为1时，```DeviceInfo::Global().SetRunMode```设置LITE_POWER_HIGH，否者设置LITE_POWER_NO_BIND
     * 模型的输入图像的维度是{1, 3, 224, 224}，输入图像的每一位数值是1
@@ -55,78 +45,59 @@
 
 #### paddlepaddle model
 
-
 骁龙855|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 
-mobilenet_v1 |32.19 |18.81 |10.90 |30.92 |18.31 |10.15 
-mobilenet_v2 |22.91 |13.75 |8.64 |21.15 |12.79 |7.84 
-shufflenet_v2 |4.67 |3.37 |2.65 |4.43 |3.15 |2.66 
-squeezenet_v1.1 |25.10 |15.93 |9.68 |23.28 |14.61 |8.71 
-mnasnet |21.84 |13.14 |7.96 |19.61 |11.88 |7.55
-
+mobilenet_v1 |33.27 |19.52 |11.14 |31.72 |18.76 |10.24 |
+mobilenet_v2 |29.08 |15.79 |9.25 |25.89 |14.17 |8.38 |
+shufflenet_v2 |4.40 |3.09 |2.30 |4.28 |3.02 |2.35 |
+squeezenet_v1.1 |19.96 |12.61 |8.76 |18.25 |11.46 |7.97 |
+mnasnet |21.00 |12.54 |7.28 |19.65 |11.65 |6.96 |
 
 
-骁龙835|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
+骁龙845|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 
-mobilenet_v1 |94.13 |52.17 |30.68 |88.28 |47.58 |26.64 
-mobilenet_v2 |61.24 |34.64 |22.36 |56.66 |32.19 |19.63 
-shufflenet_v2 |10.87 |6.92 |5.12 |10.41 |6.76 |4.97 
-squeezenet_v1.1 |73.61 |42.25 |24.44 |64.87 |38.43 |23.06 
-mnasnet |58.22 |33.43 |20.44 |53.43 |30.20 |18.09 
+mobilenet_v1 |66.36 |35.97 |19.45 |62.66 |33.87 |17.85 |
+mobilenet_v2 |45.86 |25.53 |14.6 |41.58 |23.24 |13.39 |
+shufflenet_v2 |7.58 |4.89 |3.41 |7.44 |4.91 |3.58 |
+squeezenet_v1.1 |37.15 |22.74 |13.51 |34.69 |21.27 |12.74 |
+mnasnet |40.09 |21.73 |11.91 |38.19 |21.02 |12.11 |
 
 
-麒麟980|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
-----| ---- | ---- | ---- | ----  |----  |----
-threads num|1 |2 |4 |1 |2 |4 
-mobilenet_v1 |55.11 |28.24 |13.27 |34.24 |17.74 |12.41 
-mobilenet_v2 |37.03 |19.80 |51.94 |23.64 |12.98 |9.38 
-shufflenet_v2 |7.26 |4.94 |15.06 |5.32 |3.33 |2.82 
-squeezenet_v1.1 |42.73 |23.66 |57.39 |26.03 |14.53 |13.66 
-mnasnet |36.87 |20.15 |46.04 |21.85 |12.06 |8.68 
-
-麒麟970|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
+骁龙835|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 
-mobilenet_v1 |97.80 |52.64 |34.46 |94.51 |49.36 |28.43 
-mobilenet_v2 |66.55 |38.52 |23.19 |62.89 |34.93 |21.53 
-shufflenet_v2 |13.78 |8.11 |5.93 |11.95 |7.90 |5.91 
-squeezenet_v1.1 |77.64 |43.67 |25.72 |69.91 |40.66 |24.62 
-mnasnet |61.86 |34.62 |22.68 |59.61 |32.79 |19.56 
+mobilenet_v1 |96.98 |53.92 |32.24 |89.31 |48.02 |27.58 |
+mobilenet_v2 |67.72 |37.66 |23.82 |60.10 |34.36 |21.05 |
+shufflenet_v2 |10.72 |6.62 |4.63 |10.10 |6.44 |4.63 |
+squeezenet_v1.1 |53.89 |33.28 |20.73 |50.83 |32.31 |19.51 |
+mnasnet |59.55 |33.53 |20.32 |56.21 |31.58 |19.06 |
 
 #### caffe model
 
 骁龙855|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 |
-mobilenet_v1 |32.42 |18.68 |10.86 |30.92 |18.35 |10.07 |
-mobilenet_v2 |29.53 |17.76 |10.89 |27.19 |16.53 |9.75 |
-shufflenet_v2 |4.61 |3.29 |2.61 |4.36 |3.11 |2.51 |
+mobilenet_v1 |33.36 |19.45 |11.26 |31.63 |18.74 |10.31 |
+mobilenet_v2 |31.63 |19.21 |11.61 |28.34 |17.14 |10.16 |
+shufflenet_v2 |4.46 |3.08 |2.32 |4.26 |2.98 |2.35 |
 
 
-骁龙835|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
+骁龙845|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 |
-mobilenet_v1 |92.52 |52.34 |30.37 |88.31 |49.75 |27.29 |
-mobilenet_v2 |79.50 |45.67 |28.79 |76.13 |44.01 |26.13 |
-shufflenet_v2 |10.94 |7.08 |5.16 |10.64 |6.83 |5.01 |
-
+mobilenet_v1 |66.32 |35.83 |19.56 |62.52 |33.79 |17.91 |
+mobilenet_v2 |58.46 |32.69 |18.56 |53.72 |29.86 |16.80 |
+shufflenet_v2 |7.65 |4.82 |3.46 |7.55 |4.97 |3.62 |
 
-麒麟980|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
-----| ---- | ---- | ---- | ----  |----  |----
-threads num|1 |2 |4 |1 |2 |4 |
-mobilenet_v1 |55.36 |28.18 |13.31 |34.42 |17.93 |12.52 |
-mobilenet_v2 |49.17 |26.10 |65.49 |30.50 |16.66 |11.72 |
-shufflenet_v2 |8.45 |5.00 |15.65 |4.58 |3.14 |2.83 |
 
-
-麒麟970|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
+骁龙835|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 |
-mobilenet_v1 |97.85 |53.38 |33.85 |94.29 |49.42 |28.29 |
-mobilenet_v2 |87.40 |50.25 |31.85 |85.55 |48.11 |28.24 |
-shufflenet_v2 |12.16 |8.39 |6.21 |12.21 |8.33 |6.32 |
+mobilenet_v1 |95.38 |54.09 |32.03 |95.05 |48.33 |27.54 |
+mobilenet_v2 |88.46 |48.98 |30.23 |79.28 |44.64 |27.10 |
+shufflenet_v2 |10.07 |6.51 |4.61 |10.31 |6.50 |4.66 |
 
 #### int8量化模型测试数据
 
@@ -136,6 +107,7 @@ threads num|1 |2 |4 |1 |2 |4 |
 mobilenet_v1 |36.80 |21.58 |11.12 | 14.01 |8.13 |4.32 |
 mobilenet_v2 |28.72 |19.08 |12.49 | 17.24 |11.55 |7.82 |
 
+
 骁龙835|armv7 | armv7 |  armv7 |armv8 | armv8 |armv8 
 ----| ---- | ---- | ---- | ----  |----  |----
 threads num|1 |2 |4 |1 |2 |4 |

docs/introduction/roadmap.md

@@ -23,5 +23,10 @@
 - 增加 INT8 量化，从 PaddleSlim 训练到 PaddleLite 部署完整案例
 - 支持内存中加载模型，以支持 APP 的简易加密
 
-## 2.0.0-rc ?
-预计发布 *2019-9-16~7days*
+## 2.3
+
+[v2.3 project](https://github.com/PaddlePaddle/Paddle-Lite/milestone/3?closed=1)
+
+## 2.6
+
+[v2.6 project](https://github.com/PaddlePaddle/Paddle-Lite/milestones/v2.6)