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

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

// caffe_gpu_rng_uniform with two arguments generates integers in the range // [0, UINT_MAX]. void caffe_gpu_rng_uniform (const int n, unsigned int * r); // caffe_gpu_rng_uniform with four …


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

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

void caffe_gpu_rng_uniform< double >(const int n, const double a, const double b, double * r) {CURAND_CHECK (curandGenerateUniformDouble (Caffe::curand_generator (), r, n)); const …


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

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

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


Caffe | Deep Learning Framework

http://caffe.berkeleyvision.org/

Caffe. Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ( BAIR) and by community contributors. Yangqing Jia …


How to know if CAFFE code is running using GPU or …

https://stackoverflow.com/questions/43305882/how-to-know-if-caffe-code-is-running-using-gpu-or-cuda-code

In case of GPU, it has some mode, called engine. If engine=CAFFE, it will run with GPU and engine=CUDNN, it will run based on CUDA code. The default is DEFAULT mode. In my …


Chapter 37. Efficient Random Number Generation and …

https://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing/chapter-37-efficient-random-number-generation-and-application

The GPU-based Wallace generator provides a speedup of 26 times over the quad-CPU machine, but this measures only raw RNG speed: it is also important to be able to do something with …


The Warp Generator : A Uniform Random Number Generator for …

https://cas.ee.ic.ac.uk/people/dt10/research/rngs-gpu-warp_generator.html

For RNG purposes, the two things that current GPUs give us are: Fast shared memory accessible by threads within a warp. Fast "gather" access to shared memory if there are no address …


CURAND_STATUS_SUCCESS (102 vs. 0) …

https://github.com/BVLC/caffe/issues/1026

void caffe_gpu_rng_uniform(const int n, unsigned int* r) { CURAND_CHECK(curandGenerate(Caffe::curand_generator(), r, n)); } The text was updated …


cuda problem when training the model · Issue #2417 · …

https://github.com/BVLC/caffe/issues/2417

But when I set gpu_id = 1 or 2 or 3(I have 4 gpu), the problem arises. 👍 24 wangdelp, shawangyi123, TonyChouZJU, vaibhaw, liewjunhao, handong1587, ntajbakhsh, ZhengRui, …


hipCaffe: the HIP Port of Caffe - GitHub

https://github.com/RadeonOpenCompute/ROCm_Documentation/blob/master/Deep_learning/caffe.rst

ROCm Software Platform Documentation. Contribute to RadeonOpenCompute/ROCm_Documentation development by creating an account on GitHub.


Caffe源码中math_functions文件分析 - 简书

https://www.jianshu.com/p/c794e0d3108a

math_functions文件. math_functions文件内函数：封装了一些基础的数学运算函数. (1)、caffe_cpu_gemm：C=alpha A B+beta*C；. (2)、caffe_cpu_gemv：y=alpha A …


make runtest failed · Issue #6280 · BVLC/caffe · GitHub

https://github.com/BVLC/caffe/issues/6280

Hi there, Ubuntu 16.04 OpenCV 3 but I actually comment out opencv_version = 3 to pass the make all CUDA 9.1 Nvidia 390.25 after make all, make py, make test, I did make …


GPU Optimised Uniform Random Number Generation

http://cas.ee.ic.ac.uk/people/dt10/research/gpu_rng/gpu_warp_rng.pdf

RNG state. The output of the RNG is the set of words produced after each update, resulting in k streams of random numbers, one for each thread. The state of the generator consists of k …


MWC64X - Uniform random number generator for OpenCL.

http://cas.ee.ic.ac.uk/people/dt10/research/rngs-gpu-mwc64x.html

GPU RNGs; Uniform; Publications. The MWC64X Random Number Generator. The MWC64X RNG is a small, fast, high-quality, skippable random uniform number generator designed for use with …


status ==CURAND_STATUS_SUCCESS (201 vs. 0) …

https://github.com/BVLC/caffe/issues/5195

The text was updated successfully, but these errors were encountered:


Deep learning tutorial on Caffe technology - GitHub Pages

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

Data transfer between GPU and CPU will be dealt automatically. Caffe provides abstraction methods to deal with data : caffe_set () and caffe_gpu_set () to initialize the data …


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 …


hipCaffe: the HIP Port of Caffe — ROCm 4.5.0 documentation - AMD

https://rocmdocs.amd.com/en/latest/Tutorial/caffe.html

This repository hosts the HIP port of Caffe (or hipCaffe, for short). For details on HIP, please refer here. This HIP-ported framework is able to target both AMD ROCm and Nvidia CUDA devices …


OpenCV: cv::RNG Class Reference

https://docs.opencv.org/4.x/d1/dd6/classcv_1_1RNG.html

unsigned cv::RNG::operator () (. ) returns a random integer sampled uniformly from [0, N). The methods transform the state using the MWC algorithm and return the next random …


Caffe源码中math_functions文件分析 - 代码先锋网

https://codeleading.com/article/6047687805/

(12)、caffe_rng_rand：返回一个unsignedint类型的随机数； (13)、caffe_nextafter：在最大方向上，返回b可以表示的最接近的数值； (14)、caffe_rng_uniform：产生指定范围内的均匀分布 …


oneapi::mkl::rng::uniform (Discrete) - Intel

https://www.intel.com/content/www/us/en/develop/documentation/oneapi-mkl-dpcpp-developer-reference/top/random-number-generators/manual-offload-rng-routines/distributions/oneapi-mkl-rng-uniform-discrete.html

Intel® oneAPI Math Kernel Library (oneMKL) - Data Parallel C++ Developer Reference


How to change between GPU mode and CPU mode in caffe?

https://stackoverflow.com/questions/41125191/how-to-change-between-gpu-mode-and-cpu-mode-in-caffe

The official BVLC release comes as a GPU build by default. First, Makefile.config has a pair of lines: # CPU-only switch (uncomment to build without GPU support). # CPU_ONLY …


C++ (Cpp) caffe_rng_bernoulli Example - itcodet

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

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


Run Caffe as CPU-only after a successful GPU Caffe installation

https://stackoverflow.com/questions/44162291/run-caffe-as-cpu-only-after-a-successful-gpu-caffe-installation

Just run it in GPU host with Caffe installed with cudnn support, but try plain docker and set_mode_cpu. @Eliethesaiyan that is helpful -- if that hasn't been changed in more recent …


Caffe | Layer Catalogue - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/layers.html

Data enters Caffe through data layers: they lie at the bottom of nets. Data can come from efficient databases (LevelDB or LMDB), directly from memory, or, when efficiency is not critical, from …


NVCaffe User Guide :: NVIDIA Deep Learning Frameworks …

https://docs.nvidia.com/deeplearning/frameworks/caffe-user-guide/index.html

Caffe is a deep-learning framework made with flexibility, speed, and modularity in mind. NVCaffe is an NVIDIA-maintained fork of BVLC Caffe tuned for NVIDIA GPUs, particularly in multi-GPU …


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 ™ …


Is there any ways to reduce the GPU Memory Caffe use?

https://stackoverflow.com/questions/39544441/is-there-any-ways-to-reduce-the-gpu-memory-caffe-use

Short answer: The most straightforward method to reduce the memory Caffe uses is to reduce the batch size while enabling gradient accumulation to achieve the same effective …


Out of memory when using multiple GPUs with larger batch_size …

https://stackoverflow.com/questions/46069618/out-of-memory-when-using-multiple-gpus-with-larger-batch-size-in-caffe

First, batch_size was set to 40 for training stage and it works fine on a single GPU. The chosen GPU was nearly 100% utilized. Then, I increased batch_size to 128 with all the 8 …


Random Number Streams on a GPU - MATLAB & Simulink

https://www.mathworks.com/help/parallel-computing/random-number-streams-on-a-GPU.html

In a fresh MATLAB session, MATLAB generates different sequences of random numbers on the CPU and GPU. Rc = rand (1,4) Rc = 0.8147 0.9058 0.1270 0.9134. Rg = rand (1,4, 'gpuArray' ) Rg …


Demystifying Convolution in Popular Deep Learning Framework — …

https://medium.com/nodeflux/demystifying-convolution-in-popular-deep-learning-framework-caffe-c74a58fe6bf8

The caffe_gpu_gemm will also call cublasSgemm or cublasDgemm, depends on the precision being used. You will find the caffe_gpu_gemm implementation inside the …


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 …


NVCaffe | NVIDIA NGC

https://catalog.ngc.nvidia.com/orgs/nvidia/containers/caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It was originally developed by the Berkeley Vision and Learning Center (BVLC) and by …


Random Number Generation - Numba documentation

https://numba.readthedocs.io/en/stable/cuda/random.html

Numba provides a random number generation algorithm that can be executed on the GPU. Due to technical issues with how NVIDIA implemented cuRAND, however, Numba’s GPU random …


Neural Nets with Caffe Utilizing the GPU | joy of data

https://www.joyofdata.de/blog/neural-networks-with-caffe-on-the-gpu/

Caffe is an open-source deep learning framework originally created by Yangqing Jia which allows you to leverage your GPU for training neural networks. As opposed to other …


Control random number generation for GPU calculations

https://www.mathworks.com/help/parallel-computing/gpurng.html

Set the CPU random number generator to match the default GPU settings. rng (GPUdef) Create an array of uniformly distributed random numbers on the GPU. rGPU = rand (1,10, 'gpuArray') rGPU …


numpy.random.Generator.uniform — NumPy v1.24.dev0 Manual

https://numpy.org/devdocs/reference/random/generated/numpy.random.Generator.uniform.html

numpy.random.Generator.uniform#. method. random.Generator. uniform (low = 0.0, high = 1.0, size = None) # Draw samples from a uniform distribution. Samples are uniformly distributed …


cuRAND | NVIDIA Developer

https://developer.nvidia.com/curand

cuRAND also provides two flexible interfaces, allowing you to generate random numbers in bulk from host code running on the CPU or from within your CUDA functions/kernels running on the …


Build Caffe2 on Windows 10 with GPU Support - research.wmz.ninja

https://research.wmz.ninja/articles/2017/05/build-caffe2-on-windows-10-gpu.html

This tutorial summarizes my experience when building Caffe2 with Python binding and GPU support on Windows 10. Prerequisites. To successfully compile Caffe2 on Windows 10 with …


Uniform (VSL_RNG_METHOD_UNIFORM_STD) - Intel

https://www.intel.com/content/www/us/en/develop/documentation/onemkl-vsnotes/top/testing-of-distribution-random-number-generators/discrete-distribution-random-number-generators/uniform-vsl-rng-method-uniform-std.html

Vector Statistics is a component of Intel® oneAPI Math Kernel Library (oneMKL). VS performs a range of statistical computations.


Random Number Distributions — GSL 2.7 documentation

https://www.gnu.org/software/gsl/doc/html/randist.html

void gsl_ran_dir_2d_trig_method (const gsl_rng * r, double * x, double * y) ¶ This function returns a random direction vector = (x, y) in two dimensions. The vector is normalized such that . The …


Python Random uniform() Method - W3Schools

https://www.w3schools.com/python/ref_random_uniform.asp

The uniform() method returns a random floating number between the two specified numbers (both included). Syntax. random.uniform(a, b) Parameter Values. Parameter Description; a: …


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