diff --git a/docs/advanced_user_guides/support_operation_list.md b/docs/advanced_user_guides/support_operation_list.md index 5a5be6e485a99675a2ffefab09dda8e145871a9d..c12c8d6e55019a4ff739175e13417545d33b5e07 100644 --- a/docs/advanced_user_guides/support_operation_list.md +++ b/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 diff --git a/docs/benchmark/benchmark.md b/docs/benchmark/benchmark.md index efb0805fddc0bd62a2b21a130018edaa9213e0cf..f4a17c6f91a4a9c8543bb8e5b91974883c1627f6 100644 --- a/docs/benchmark/benchmark.md +++ b/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） @@ -30,20 +28,12 @@ * 骁龙835 * 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 | - - -骁龙835|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 |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 | -麒麟980|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 |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 | +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 | diff --git a/docs/introduction/roadmap.md b/docs/introduction/roadmap.md index 6def1502ba36cdf8003a75ebb85c18da2c6b7872..0c5b5366041ff4cf406fe5d9d67833925c7795f8 100644 --- a/docs/introduction/roadmap.md +++ b/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)