Comments (4)
yanghuanflc
commented on May 28, 2024
你好，我记得你发布了MobileNet在Caffe上的prototxt，但是经过测试好像并没有很大的优化，可以解释一下原因吗？ @pby5
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solrex
commented on May 28, 2024
@pby5 speed上主要是用ios上的accelerate framework、android上用ARM intrinsic加速了一些在blas库之外的数学计算，性能上有一些改进，但我没有 benchmark 过，所以也不好说多少；size 上是去掉了很多库的依赖但不影响功能，从编出来的 lib 大小上你可以直观感受到。
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yanghuanflc
commented on May 28, 2024
@solrex 我之前也有维护一个caffe mobile的版本，也是用的accelerate framework，但是感觉没有你的这么elegant，赞一个～
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commented on May 28, 2024
@yanghuanflc mobileney 在caffe不快的原因的是因为利用caffe中group来计算depthwise conv，如果想要快的需要自己实现下kernel
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Related Issues (20)
- 定制版caffe HOT 4
- Mac系统下编译.build_android.sh问题 HOT 1
- I replaced a new test_image but the result is still 8? Does it really work? HOT 2
- 能提供下net.protobin的原文件net.prototxt HOT 1
- 请问加载forward模型占用的内存可以释放掉吗 HOT 5
- Errors in building for android: <stdio.h> not found and openBlas failed to compile HOT 6
- 编译失败 HOT 1
- Is SSD model supported? HOT 2
- How to build caffe.so? HOT 4
- compile libcaffe-jni.so issue HOT 1
- Failed to parse NetParameter file: /storage/emulated/0/lenet.protobin HOT 2
- ./tools/build_android.sh HOT 3
- protobin to prototxt HOT 1
- can not resolve protobin？ HOT 2
- use protobin and caffemodel to inference, the inference result is not what i want? HOT 1
- ./build-openblas.sh: line 127: make: command not found HOT 1
- Porting network caffe on mobile caffe.
- caffe simple has been stoped HOT 3
- Faster-R-CNN with vgg16
- .so file for arm 64-bit HOT 1
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