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Caffe | Deep Learning Framework

http://caffe.berkeleyvision.org/

Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU*. That’s 1 ms/image for inference and …


caffe/math_functions.hpp at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/include/caffe/util/math_functions.hpp

void caffe_gpu_axpby (const int N, const Dtype alpha, const Dtype* X, const Dtype beta, Dtype* Y); void caffe_gpu_memcpy (const size_t N, const void *X, void *Y); ... // caffe_gpu_rng_uniform …


Deep learning tutorial on Caffe technology - GitHub Pages

http://christopher5106.github.io/deep/learning/2015/09/04/Deep-learning-tutorial-on-Caffe-Technology.html

Caffe provides abstraction methods to deal with data : caffe_set() and caffe_gpu_set() to initialize the data with a value. caffe_add_scalar() and caffe_gpu_add_scalar() to add a scalar to data. caffe_axpy() and …


caffe/power_layer.cu at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/src/caffe/layers/power_layer.cu

caffe_gpu_axpby (count, diff_scale_ * scale_, bottom_data, Dtype (0), bottom_diff); if (shift_ != Dtype (0)) {caffe_gpu_add_scalar (count, diff_scale_ * shift_, bottom_diff);}} else if (shift_ == …


caffe/batch_norm_layer.cu at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/src/caffe/layers/batch_norm_layer.cu

caffe_gpu_axpby (mean_. count (), Dtype (1), mean_. gpu_data (), moving_average_fraction_, this-> blobs_ [0]-> mutable_gpu_data ()); int m = bottom[0]-> count ()/channels_; Dtype …


OpenCL caffe: Accelerating and enabling a cross …

https://www.iwocl.org/wp-content/uploads/iwocl-2016-opencl-caffe.pdf

Caffe_gpu_axpby Caffe_gpu_scal Caffe_gpu_dot Caffe_gpu_asum Caffe_gpu_scale Caffe_gpu_axpy OpenCL porting challenges and re-architecturing • Memory layout & data …


caffe/math_functions.cu at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/src/caffe/util/math_functions.cu

Caffe: a fast open framework for deep learning. Contribute to BVLC/caffe development by creating an account on GitHub.


Making a Caffe Layer - GitHub Pages

https://chrischoy.github.io/research/making-caffe-layer/

When you implement the functions, try to use the macros and functions provided by caffe to minimize your workload. Blob offset. When you compute the offset from the blob …


Caffe源码（一）：math_functions 分析_seven_first的博 …

https://blog.csdn.net/seven_first/article/details/47378697

caffe中最典型且常用的卷积运算，是通过将卷积操作转化成矩阵乘法来实现的，因此，卷积层的一系列程序实际上就是在为矩阵的卷积式展开和矩阵乘法函数做准 …


How are multiple gpus utilized in Caffe? - Stack Overflow

https://stackoverflow.com/questions/41267650/how-are-multiple-gpus-utilized-in-caffe

The two GPUs are treated as separate cards. When you run Caffe and add the '-gpu' flag (assuming you are using the command line), you can specify which GPU to use (-gpu 0 or …


caffe/mvn_layer.cu at master · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/blob/master/src/caffe/layers/mvn_layer.cu

Caffe: a fast open framework for deep learning. Contribute to BVLC/caffe development by creating an account on GitHub.


caffe/sgd_solver.cpp at master · intel/caffe · GitHub

https://github.com/intel/caffe/blob/master/src/caffe/solvers/sgd_solver.cpp

This makes weight diff calculation wrong. // conv layer. // In original intel-caffe code, only SGD (Not NESTEROV, ADAGRAD, RMSPROP, ADADELTA, ADAM) adapted LARS. So, we change only …


C++ (Cpp) caffe_gpu_add Example - itcodet

https://www.itcodet.com/cpp/cpp-caffe_gpu_add-function-examples.html

The c++ (cpp) caffe_gpu_add example is extracted from the most popular open source projects, you can refer to the following example for usage. Programming language: C++ (Cpp) …


C++ (Cpp) caffe_axpy Example - itcodet

https://itcodet.com/cpp/cpp-caffe_axpy-function-examples.html

The c++ (cpp) caffe_axpy example is extracted from the most popular open source projects, you can refer to the following example for usage. Programming language: C++ (Cpp) …


GitHub - asiryan/caffe2onnx: Convert Caffe models to ONNX.

https://github.com/asiryan/caffe2onnx

To get started with caffe2onnx, run the caffe2onnx.convert command, providing: the path to your caffe prototxt, the path to your caffe model ( not required ), the output path of …


Caffe Gpu :: Anaconda.org

https://anaconda.org/anaconda/caffe-gpu

To install this package run one of the following: conda install -c anaconda caffe-gpu. Description. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is …


caffe-fast-rcnn/solver.cpp at master · rbgirshick/caffe-fast-rcnn

https://github.com/rbgirshick/caffe-fast-rcnn/blob/master/src/caffe/solver.cpp

Caffe fork that supports Fast R-CNN. Contribute to rbgirshick/caffe-fast-rcnn development by creating an account on GitHub.


caffe撸码：euclidean.cpp - 代码先锋网

https://www.codeleading.com/article/3943905523/

caffe撸码：euclidean.cpp namespace caffe { template <typename Dtype> void EuclideanLossNormLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom, const …


Python Caffe cpu & gpu mode simultaneously - Stack Overflow

https://stackoverflow.com/questions/32021975/python-caffe-cpu-gpu-mode-simultaneously

1 Answer. Sorted by: 1. In my opinion, you can write multiple python scripts one for each task. In each script you can choose whether use CPU or GPU (and GPU device). Then you …


How to use multi-GPU training with Python using Caffe (pycaffe)?

https://stackoverflow.com/questions/42410493/how-to-use-multi-gpu-training-with-python-using-caffe-pycaffe

Caffe only supports multi-GPU from command line and only during TRAIN i.e you have to use the train.py file (./build/tools/caffe train) and give the GPU's you want to use as …


axpby — oneAPI Math Kernel Library Interfaces 0.1 documentation

https://oneapi-src.github.io/oneMKL/domains/blas/axpby.html

axpby. Computes a vector-scalar product added to a scaled-vector. Description. The axpby routines compute two scalar-vector product and add them: y ← b e t a ∗ y + a l p h a ∗ x. where …


What is Caffe2? | Caffe2

https://caffe2.ai/docs/caffe-migration.html

Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and …


修改caffe源代码--添加loss(层)函数--GPU - 代码先锋网

https://www.codeleading.com/article/77814101779/

修改caffe源代码，loss层是一个比较独立的一个层，而且可以仿照caffe给的样例进行添加，难度会稍微小点。 caffe自带了 十种loss层 (contrastive、euclidean、hinge、multinomial_logistic …


Under the Hood : Caffe - spirits away

http://spiritsaway.info/under-the-hood-caffe.html

In addition, MKL comes with an additional function axpby that is not present in standard blas. caffe simply use a two-step (inefficient, of course) way to mimic that. inline void …


在caffe 中添加Scale-invariant loss - 代码先锋网

https://www.codeleading.com/article/58493161611/

1. caffe.proto. 在 LayerParameter 中添加： optional ScaleInvariantParameter scale_invariant_param = 163; 1; 新建message ScaleInvariantParameter ： message …


Caffe Deep Learning Framework and NVIDIA GPU Acceleration

https://www.nvidia.com/en-sg/data-center/gpu-accelerated-applications/caffe/

The GPU-enabled version of Caffe has the following requirements: 64-bit Linux (This guide is written for Ubuntu 14.04) NVIDIA ® CUDA ® 7.5 (CUDA 8.0 required for NVIDIA Pascal ™ …


修改MTCNN中caffe源码，时计算loss时以对应标签是否为“-1”判别

https://www.codeleading.com/article/92844206315/

修改MTCNN中caffe源码，时计算loss时以对应标签是否为“-1”判别，代码先锋网，一个为软件开发程序员提供代码片段和技术文章聚合的网站。 修改MTCNN中caffe源码，时计算loss时以对应 …


CAFFE – how to specify which GPU to use in PyCaffe

https://kawahara.ca/caffe-how-to-specify-which-gpu-to-use-in-pycaffe/

import caffe GPU_ID = 1 # Switch between 0 and 1 depending on the GPU you want to use. caffe. set_mode_gpu() caffe. set_device( GPU_ID) And it’s as simple as that! You can …


修改caffe源代码从添加loss(层)函数开始 - 代码先锋网

https://www.codeleading.com/article/26333927003/

第五步用vs打开caffe进行编译编译成功后恭喜你功力又上升一个段位哈哈 在caffe中摸爬滚打了一个多月了，修改caffe源代码，早就想练练手了，loss层是一个比较独立 …


cblas_?axpby - Intel

https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/blas-and-sparse-blas-routines/blas-like-extensions/cblas-axpby.html

Intel® oneAPI Math Kernel Library Developer Reference for C


C++ (Cpp) caffe_cpu_scale Example - itcodet

https://www.itcodet.com/cpp/cpp-caffe_cpu_scale-function-examples.html

The c++ (cpp) caffe_cpu_scale example is extracted from the most popular open source projects, you can refer to the following example for usage.


Código CAFFE: Euclidean.cpp - programador clic

https://programmerclick.com/article/15892265972/

namespace caffe { template <typename Dtype> void EuclideanLossNormLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom, const …


caffe撸码：euclidean.cpp_maohule的博客-程序员宝宝 - 程序员宝宝

https://cxybb.com/article/maohule/89924304

namespace caffe { template <typename Dtype> void EuclideanLossNormLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom, const …


C++ (Cpp) caffe_copy Example - itcodet

https://www.itcodet.com/cpp/cpp-caffe_copy-function-examples.html

The c++ (cpp) caffe_copy example is extracted from the most popular open source projects, you can refer to the following example for usage. Programming language: C++ (Cpp) …


caffe源码_自定义加法层 - 代码先锋网

https://codeleading.com/article/920820945/

caffe源码_自定义加法层，代码先锋网，一个为软件开发程序员提供代码片段和技术文章聚合的网站。 caffe源码_自定义加法层 - 代码先锋网 代码先锋网 代码片段及技术文章聚合


análisis del código fuente de caffe [tres]: capa de pérdida …

https://programmerclick.com/article/3225234833/

Póngalo en nuestro código de pérdida euclidiana, que es bottom [0] -> gpu_data (valor de salida de red) y bottom [1] -> gpu_data (valor de etiqueta real) para restar los elementos …


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在caffe 中添加Scale-invariant loss_lalazc的博客-程序员ITS203

https://its203.com/article/lalazc/80051645

1. caffe.proto. 在 LayerParameter 中添加： optional ScaleInvariantParameter scale_invariant_param = 163; 1; 新建message ScaleInvariantParameter ： message …


código fuente de caffe _ capa de adición personalizada

https://programmerclick.com/article/5158237912/

caffe_add(bottom[0]->count(),bottom[0]->cpu_data(),bottom[1]->cpu_data(),top[0]->mutable_cpu_data()); ps: dado que este proceso implementa la adición de dos datos de …


修改MTCNN中caffe源码，时计算loss时以对应标签是否为“-1”判 …

https://its301.com/article/liqiming100/82380311

在“pts_loss”层（type: "MTCNNEuclideanLoss"）中，以"label" (分类的标签)来判断是否ignore。. 对于我们的训练数据标签格式：. class: ignore_label=-1, 可以正常分类；. bbox regression: …


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修改caffe源代码--添加loss(层)函数--GPU_shawncheer的博客-程序 …

https://www.its203.com/article/shawncheer/77752653

修改caffe源代码，loss层是一个比较独立的一个层，而且可以仿照caffe给的样例进行添加，难度会稍微小点。 caffe自带了十种lo 修改caffe源代码--添加loss(层)函数--GPU_shawncheer的博客 …


caffe源码_自定义加法层_山野闲者的博客-程序员宝宝 - 程序员宝宝

https://cxybb.com/article/lantuxin/83543791

step1：编写自定义层的头文件（caffe中的层都是以类的数据结构进行定义的，类中的方法主要包括type、forward、backward等方法）；. step2：编写自定义层的源文件（实现step1头文件中 …


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