hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
a460dea88ea1580bb1b50851d2216c8e6c025e20.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// nvcc -O3 -std=c++11 -use_fast_math -ccbin g++ -arch=compute_75 -code=sm_75 -expt-relaxed-constexpr
// Performs matrix mutliplication using shared memory tiles where ewach thread
// may need to calculate and move more than one... | a460dea88ea1580bb1b50851d2216c8e6c025e20.cu | // nvcc -O3 -std=c++11 -use_fast_math -ccbin g++ -arch=compute_75 -code=sm_75 -expt-relaxed-constexpr
// Performs matrix mutliplication using shared memory tiles where ewach thread
// may need to calculate and move more than one data element. Assumes matrices
// stored in row major order. The loop structure follow... |
6d93a47dd86fc46e3b20663870a735e1c3f381ef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* SASAPotential.cu
*
* Created on: Aug 6, 2010
* Author: zhmurov
*/
#include "../Core/global.h"
#include "../Core/md.cuh"
#include "sasa.h"
#include "SASAPotential.cuh"
namespace sasa_potential {
class Log: public IL... | 6d93a47dd86fc46e3b20663870a735e1c3f381ef.cu | /*
* SASAPotential.cu
*
* Created on: Aug 6, 2010
* Author: zhmurov
*/
#include "../Core/global.h"
#include "../Core/md.cuh"
#include "sasa.h"
#include "SASAPotential.cuh"
namespace sasa_potential {
class Log: public ILog {
virtual void Write(const char* message) const {
std::cout << makeTimePrefix() <<... |
c82c2623096d000072ead89c37bccf1fd299d595.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void binaryTestingKernel ( int batchStart, int length, float* predictions, float* targets, int* result) {
int withinBatch = blockIdx.x;
int instanceStart = batchStart + withinBatch * length;
int inst... | c82c2623096d000072ead89c37bccf1fd299d595.cu | #include "includes.h"
__global__ void binaryTestingKernel ( int batchStart, int length, float* predictions, float* targets, int* result) {
int withinBatch = blockIdx.x;
int instanceStart = batchStart + withinBatch * length;
int instanceEnd = instanceStart + length;
for(int indexEntry = instanceStart; indexEntry < inst... |
12bfe5e413f047f2d29334afb07cbd12d50ee03c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THH/generic/THHTensorRandom.hip"
#else
#include "ATen/hip/HIPContext.h"
#define NUM_BLOCKS min((int)THCCeilDiv(size, (ptrdiff_t) BLOCK_SIZE), MAX_NUM_BLOCKS)
#if defined(THC_REAL... | 12bfe5e413f047f2d29334afb07cbd12d50ee03c.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THC/generic/THCTensorRandom.cu"
#else
#include "ATen/cuda/CUDAContext.h"
#define NUM_BLOCKS min((int)THCCeilDiv(size, (ptrdiff_t) BLOCK_SIZE), MAX_NUM_BLOCKS)
#if defined(THC_REAL_IS_FLOAT) || defined(THC_REAL_IS_DOUBLE) || defined(THC_REAL_IS_HALF)
void THCTensor_... |
15885edfb8ed76a79975ee832638d525936dc726.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "kd-tree-build.cuh"
#include "multiple-radix-select.cuh"
#include "quick-select.cuh"
#include "radix-select.cuh"
#include "stdio.h"
#include "point.h"
#include "helper_cuda.h"
int nextPowerOf2_(int x)
{
--x;
x |=... | 15885edfb8ed76a79975ee832638d525936dc726.cu | #include "kd-tree-build.cuh"
#include "multiple-radix-select.cuh"
#include "quick-select.cuh"
#include "radix-select.cuh"
#include "stdio.h"
#include "point.h"
#include "helper_cuda.h"
int nextPowerOf2_(int x)
{
--x;
x |= x >> 1;
x |= x >> 2;
x |= x >> 4;
x |= x >> 8;
x |= x >> 16;
return... |
c108d0f616d95a17228c94dbfd31691cec174bc5.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "reduce_moments.cu"
#include<chrono>
#include<iostream>
using nam... | c108d0f616d95a17228c94dbfd31691cec174bc5.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "reduce_moments.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{2... |
572dd941e5c509de9736b17667b5e277d7961e19.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Macro.h"
#include "CUFLU.h"
#if ( defined GPU && MODEL == ELBDM )
// useful macros
#define to1D1(z,y,x) ( __umul24(z, FLU_NXT*FLU_NXT) + __umul24(y, FLU_NXT) + x )
#define to1D2(z,y,x) ( __umul24(z-FLU_GHOST_SIZE, PS... | 572dd941e5c509de9736b17667b5e277d7961e19.cu | #include "Macro.h"
#include "CUFLU.h"
#if ( defined GPU && MODEL == ELBDM )
// useful macros
#define to1D1(z,y,x) ( __umul24(z, FLU_NXT*FLU_NXT) + __umul24(y, FLU_NXT) + x )
#define to1D2(z,y,x) ( __umul24(z-FLU_GHOST_SIZE, PS2*PS2) + __umul24(y-FLU_GHOST_SIZE, PS2) + x-FLU_GHOST_SIZE )
#ifdef LAPLACIAN_4TH
# d... |
fb6f811484b5b8008f6f823e0781a7040ea5a447.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void scaleVector(float *d_res, const float *d_src, float scale, const int len)
{
const int pos = blockIdx.x * blockDim.x + threadIdx.x;
if (pos >= len) return;
d_res[pos] = d_src[pos] * scale;
} | fb6f811484b5b8008f6f823e0781a7040ea5a447.cu | #include "includes.h"
__global__ void scaleVector(float *d_res, const float *d_src, float scale, const int len)
{
const int pos = blockIdx.x * blockDim.x + threadIdx.x;
if (pos >= len) return;
d_res[pos] = d_src[pos] * scale;
} |
ee402021a4ae1ba805d0d58857eac3a76ac8950b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void Subtract( float * x, size_t idx, size_t N, float W0, float W1)
{
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < N; i += blockDim.x * gridDim.x)
{
x[(idx-2)*N+i] = W0*x[(idx-1)*N+i] - W1... | ee402021a4ae1ba805d0d58857eac3a76ac8950b.cu | #include "includes.h"
__global__ void Subtract( float * x, size_t idx, size_t N, float W0, float W1)
{
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < N; i += blockDim.x * gridDim.x)
{
x[(idx-2)*N+i] = W0*x[(idx-1)*N+i] - W1*x[(idx-2)*N+i];
}
return;
} |
2e8f172ce638c54d8a8ba2a4aa39e501b763e3cf.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
//#include <cutil_inline.h>
extern "C"
void runCudaPart(float a[], float b[], float c[], int n);
__global__ void myKernel(float *a, float *b, float *c, int n)
{
int idx = blockI... | 2e8f172ce638c54d8a8ba2a4aa39e501b763e3cf.cu | #include <stdio.h>
#include <cuda.h>
#include <cuda_runtime.h>
//#include <cutil_inline.h>
extern "C"
void runCudaPart(float a[], float b[], float c[], int n);
__global__ void myKernel(float *a, float *b, float *c, int n)
{
int idx = blockIdx.x*blockDim.x + threadIdx.x;
//return;
if (idx < n)
{
... |
14f16a44fa0df48ec51ad413f2290ee9fd019f9c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void gpu_init(int *mapad, int max, int size){
/*Identificaciones necesarios*/
int IDX_Thread = threadIdx.x; /*Identificacion del hilo en la dimension*/
int IDY_Thread = threadIdx.y; /*Identificacion... | 14f16a44fa0df48ec51ad413f2290ee9fd019f9c.cu | #include "includes.h"
__global__ void gpu_init(int *mapad, int max, int size){
/*Identificaciones necesarios*/
int IDX_Thread = threadIdx.x; /*Identificacion del hilo en la dimension*/
int IDY_Thread = threadIdx.y; /*Identificacion del hilo en la dimension y*/
int IDX_block = blockIdx.x; /*Identificacion del bloque en... |
a45b2a54be21317b8ae03cc79c4737141de14799.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2020-2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.o... | a45b2a54be21317b8ae03cc79c4737141de14799.cu | /*
* Copyright (c) 2020-2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... |
e08bbe89e9c832c390fd0a2ec3bb70aa9979c632.hip | // !!! This is a file automatically generated by hipify!!!
#define GLM_FORCE_CUDA
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <cmath>
#include <glm/glm.hpp>
#include "utilityCore.hpp"
#include "kernel.h"
// LOOK-2.1 potentially useful for doing grid-based neighbor search
#ifndef imax
#define imax( a, b ) ... | e08bbe89e9c832c390fd0a2ec3bb70aa9979c632.cu | #define GLM_FORCE_CUDA
#include <stdio.h>
#include <cuda.h>
#include <cmath>
#include <glm/glm.hpp>
#include "utilityCore.hpp"
#include "kernel.h"
// LOOK-2.1 potentially useful for doing grid-based neighbor search
#ifndef imax
#define imax( a, b ) ( ((a) > (b)) ? (a) : (b) )
#endif
#ifndef imin
#define imin( a, b ) ... |
60cb96fbc1aafc318e195c1884e23b7e74a4095b.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "bpnn_layerforward_CUDA.cu"
#include<chrono>
#include<iostream>
u... | 60cb96fbc1aafc318e195c1884e23b7e74a4095b.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "bpnn_layerforward_CUDA.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{1... |
14382be3b50f713a3f2ab4eb40a05bf719796bdb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
*... | 14382be3b50f713a3f2ab4eb40a05bf719796bdb.cu | /* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* See the NOTICE file distributed wit... |
2be42d040ae58e3b9e180d954241833f8cda54fc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "network_functions/PsiOkVector.hpp"
#include "quantum_states.hpp"
#include "spin_ensembles.hpp"
#include "types.h"
namespace rbm_on_gpu {
template<typename Psi_t>
void psi_O_k_vector(complex<double>* result, const Psi_t&... | 2be42d040ae58e3b9e180d954241833f8cda54fc.cu | #include "network_functions/PsiOkVector.hpp"
#include "quantum_states.hpp"
#include "spin_ensembles.hpp"
#include "types.h"
namespace rbm_on_gpu {
template<typename Psi_t>
void psi_O_k_vector(complex<double>* result, const Psi_t& psi, const Spins& spins) {
complex_t* result_ptr;
auto O_k_length = psi.get_num... |
ae87076c1bea7d9c37221ef0f7a485b8f97822e0.hip | // !!! This is a file automatically generated by hipify!!!
#include "nne.cuh"
#include "hip/hip_runtime.h"
#include "hip/hip_runtime_api.h"
#include "device_launch_parameters.h"
#include <cstdlib>
__global__ void nodeCal(float* inList, float* wList, float* outList);
__global__ void nodeLog(float* outputList, float sig... | ae87076c1bea7d9c37221ef0f7a485b8f97822e0.cu | #include "nne.cuh"
#include "cuda.h"
#include "cuda_runtime_api.h"
#include "device_launch_parameters.h"
#include <cstdlib>
__global__ void nodeCal(float* inList, float* wList, float* outList);
__global__ void nodeLog(float* outputList, float sigmoidConst);
__global__ void nodeGradCal(float* wList, float* outputList, ... |
7b6b5614c0b75618e0fec7faa80a25ddf081bc4f.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "uplo_erfc.cu"
#include<chrono>
#include<iostream>
using namespac... | 7b6b5614c0b75618e0fec7faa80a25ddf081bc4f.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "uplo_erfc.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24}... |
6e21199263c0bdc5253542394dc13e69b3ef3177.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "THHTensorRandom.h"
#include "THHDeviceUtils.cuh"
#include "THHGeneral.h"
#include "THHTensorCopy.h"
#include "THHTensorMath.h"
#include "THHReduceApplyUtils.cuh"
#include "THHTensorRandom.cuh"
#include "THHGenerator.hpp"
#... | 6e21199263c0bdc5253542394dc13e69b3ef3177.cu | #include "THCTensorRandom.h"
#include "THCDeviceUtils.cuh"
#include "THCGeneral.h"
#include "THCTensorCopy.h"
#include "THCTensorMath.h"
#include "THCReduceApplyUtils.cuh"
#include "THCTensorRandom.cuh"
#include "THCGenerator.hpp"
#include "ATen/Config.h"
#include "ATen/cuda/_curand_mtgp32_host.h"
#include <thrust/fu... |
c688b29fa34fb12afeff0e64166339ed0cbbe035.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html
#include <torch/types.h>
#in... | c688b29fa34fb12afeff0e64166339ed0cbbe035.cu | // Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html
#include <torch/types.h>
#include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#inclu... |
14778d0b1fc6e1cfa0a58cbdb36021377981187a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <GL/glut.h>
#include <GL/gl.h>
#include <malloc.h>
#include <signal.h>
/******************************************************************************
Displays two... | 14778d0b1fc6e1cfa0a58cbdb36021377981187a.cu | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <GL/glut.h>
#include <GL/gl.h>
#include <malloc.h>
#include <signal.h>
/******************************************************************************
Displays two grey scale images. On the left is an image that has come from an
image processing pip... |
37c9d88ab760fcb91e31010830b396100329e1a3.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define TILE_SIZE 4
#define chunk_size 2
/*The algorithm and code given in the main reference paper have been followed*/
/*All matrices st... | 37c9d88ab760fcb91e31010830b396100329e1a3.cu | #include <cuda_runtime.h>
#include <cuda.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define TILE_SIZE 4
#define chunk_size 2
/*The algorithm and code given in the main reference paper have been followed*/
/*All matrices stored and accessed in row major form*/
/*Function to perform rank-k upda... |
4e345fdcd33c677273ea91645e31b73fda738ca4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hipsparse.h"
#include <hip/hip_runtime.h>
#include "utils.h"
#include "time.h"
int main(int argc, char *argv[]) {
/***********************************************
* initialize program's input parameters *
*******************************... | 4e345fdcd33c677273ea91645e31b73fda738ca4.cu | #include "cusparse.h"
#include <cuda_runtime.h>
#include "utils.h"
#include "time.h"
int main(int argc, char *argv[]) {
/***********************************************
* initialize program's input parameters *
***********************************************/
double alpha = 1;
double beta = 0;
doub... |
d6ae4dd7fef8e131fac928f61bc54451a285d8ec.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
using namespace std;
__global__ void add( int a, int b, int *c )
{
*c = a + b;
}
int main( void )
{
int c;
int *dev_c;
hipMalloc( &dev_c, sizeof(int) ) ;
hipLaunchKernelGGL(( add), dim3(1),d... | d6ae4dd7fef8e131fac928f61bc54451a285d8ec.cu | #include <iostream>
using namespace std;
__global__ void add( int a, int b, int *c )
{
*c = a + b;
}
int main( void )
{
int c;
int *dev_c;
cudaMalloc( &dev_c, sizeof(int) ) ;
add<<<1,1>>>( 2, 7, dev_c );
cudaMemcpy( &c, dev_c, sizeof(int),cudaMemcpyDeviceToHost );
//printf( "2 + 7 = %d\n... |
f946785963d46923f5f66426b668b93dcac0d92a.hip | // !!! This is a file automatically generated by hipify!!!
#include <unistd.h>
#include <algorithm>
#include <cstdlib>
#include <limits>
#include <vector>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <driver_functions.h>
#define STB_IMAGE_IMPLEMENTATION
#include "../../utils/stb_image.h"
#def... | f946785963d46923f5f66426b668b93dcac0d92a.cu |
#include <unistd.h>
#include <algorithm>
#include <cstdlib>
#include <limits>
#include <vector>
#include <cuda.h>
#include <cuda_runtime.h>
#include <driver_functions.h>
#define STB_IMAGE_IMPLEMENTATION
#include "../../utils/stb_image.h"
#define STB_IMAGE_WRITE_IMPLEMENTATION
#include "../../utils/stb_image_write.... |
bdf7f4049fef336ea74280e6c20c86a0f0b199ac.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdio>
#include <cmath>
#include <hip/hip_runtime.h>
static const int ThreadsPerBlock = 512;
static __global__ void fractal(const int width, const int start_frame, const int gpu_frames, unsigned char* const pic)
{
// todo: use the GPU to compute ... | bdf7f4049fef336ea74280e6c20c86a0f0b199ac.cu | #include <cstdio>
#include <cmath>
#include <cuda.h>
static const int ThreadsPerBlock = 512;
static __global__ void fractal(const int width, const int start_frame, const int gpu_frames, unsigned char* const pic)
{
// todo: use the GPU to compute the requested frames (base the code on the previous project)
}
unsign... |
83e8a64538b9b01e8a105aa9ecb5c76f2f686fdd.hip | // !!! This is a file automatically generated by hipify!!!
// Chiranjit Mukherjee (chiranjit@soe.ucsc.edu)
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <stdio.h>
#include <time.h>
#include <math.h>
#include <string.h>
#define SSS // If uncommented, runs the Stochastic Shotgun Search
//#... | 83e8a64538b9b01e8a105aa9ecb5c76f2f686fdd.cu | // Chiranjit Mukherjee (chiranjit@soe.ucsc.edu)
#include <cstdlib>
#include <fstream>
#include <iostream>
#include <stdio.h>
#include <time.h>
#include <math.h>
#include <string.h>
#define SSS // If uncommented, runs the Stochastic Shotgun Search
//#define MCMC // If uncommented, runs the Markov chai... |
9e0f2e77461fe543705b25dbccc05fc9a7c1e348.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.4.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
December 2013
@generated s Tue Dec 17 13:18:45 2013
@author Stan To... | 9e0f2e77461fe543705b25dbccc05fc9a7c1e348.cu | /*
-- MAGMA (version 1.4.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
December 2013
@generated s Tue Dec 17 13:18:45 2013
@author Stan Tomov
@author Mark Gates
*/
#include "common_magma.h"
#define PRECISION_s
#define ... |
fb628a4d7c0994460b1cfbca64577cff055a1140.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_field.cu"
extern "C" {
__global__
void field_init(int m){
cuda_field_init(m);
}
__global__
void make_unit(cuda_field_element* B, int n){
int thidX = (blockIdx.x * blockDim.x) + threadIdx.x;
int thidY = (blockIdx... | fb628a4d7c0994460b1cfbca64577cff055a1140.cu | #include "cuda_field.cu"
extern "C" {
__global__
void field_init(int m){
cuda_field_init(m);
}
__global__
void make_unit(cuda_field_element* B, int n){
int thidX = (blockIdx.x * blockDim.x) + threadIdx.x;
int thidY = (blockIdx.y * blockDim.y) + threadIdx.y;
if(thidX < n && thidY < n){
B[thidX*n+thidY] = (thidX... |
ca3e2cce8910ed17bb1163ea37805a94a1daa93c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <stdlib.h>
#define N (2048*2048)
#define THREADS_PER_BLOCK 512
using namespace std;
__global__ void mykernal() { // Run on device and called by host
}
__global__ void add(int *a, int *b, int *c, int n... | ca3e2cce8910ed17bb1163ea37805a94a1daa93c.cu | #include <iostream>
#include <stdlib.h>
#define N (2048*2048)
#define THREADS_PER_BLOCK 512
using namespace std;
__global__ void mykernal() { // Run on device and called by host
}
__global__ void add(int *a, int *b, int *c, int n) {
// *c = *a + *b;
int index = threadIdx.x + blockIdx.x * blockDim.x;
if (... |
aacc2e8726aca6e1960caa5db88f566e9603cd5b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define COALESCED_NUM 16
#define blockDimX 256
#define blockDimY 1
#define gridDimX (gridDim.x)
#define gridDimY (gridDim.y)
#define idx (blockIdx.x*blockDimX+threadIdx.x)
#define idy (blockIdx.y*blockDimY+threadIdx.y)
#define bidy ... | aacc2e8726aca6e1960caa5db88f566e9603cd5b.cu | #define COALESCED_NUM 16
#define blockDimX 256
#define blockDimY 1
#define gridDimX (gridDim.x)
#define gridDimY (gridDim.y)
#define idx (blockIdx.x*blockDimX+threadIdx.x)
#define idy (blockIdx.y*blockDimY+threadIdx.y)
#define bidy (blockIdx.y)
#define bidx (blockIdx.x)
#define tidx (threadIdx.x)
#define tidy (threadId... |
ab776fcae4392987c088df033d505acb72705143.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Homework 2
// Image Blurring
//
// In this homework we are blurring an image. To do this, imagine that we have
// a square array of weight values. For each pixel in the image, imagine that we
// overlay this square array of weigh... | ab776fcae4392987c088df033d505acb72705143.cu | // Homework 2
// Image Blurring
//
// In this homework we are blurring an image. To do this, imagine that we have
// a square array of weight values. For each pixel in the image, imagine that we
// overlay this square array of weights on top of the image such that the center
// of the weight array is aligned with the c... |
89984f25c122692a54dda308773e5ca11cd40207.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "lab3.h"
#include <cstdio>
__device__ __host__ int CeilDiv(int a, int b) { return (a-1)/b + 1; }
__device__ __host__ int CeilAlign(int a, int b) { return CeilDiv(a, b) * b; }
__global__ void SimpleClone(const float *backg... | 89984f25c122692a54dda308773e5ca11cd40207.cu | #include "lab3.h"
#include <cstdio>
__device__ __host__ int CeilDiv(int a, int b) { return (a-1)/b + 1; }
__device__ __host__ int CeilAlign(int a, int b) { return CeilDiv(a, b) * b; }
__global__ void SimpleClone(const float *background, const float *target,
const float *mask, float *output... |
0152bc8353bcf5830bc2ba29e2403f9b39698976.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "imagesHandler.h"
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <algorithm>
#include <cfloat>
#include <chrono>
#include <random>
#include <vector>
#include <stdexcept>
#include <string>
struc... | 0152bc8353bcf5830bc2ba29e2403f9b39698976.cu | #include "imagesHandler.h"
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <algorithm>
#include <cfloat>
#include <chrono>
#include <random>
#include <vector>
#include <stdexcept>
#include <string>
struct Data {
explicit Data(int size) : size(size), bytes(size * sizeof(float)){
cudaM... |
9034a7fe70dfd8279324540d897926d2dead29ef.hip | // !!! This is a file automatically generated by hipify!!!
//
// Created by klaus on 09.07.21.
//
#include "ImmediateFunctionsThrust.cuh"
#include "StreamFunctionHelper.cuh"
#include <thrust/transform.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
enum ImmOp {
ADD,
MUL,
DIVI,
DIVII,... | 9034a7fe70dfd8279324540d897926d2dead29ef.cu | //
// Created by klaus on 09.07.21.
//
#include "ImmediateFunctionsThrust.cuh"
#include "StreamFunctionHelper.cuh"
#include <thrust/transform.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
enum ImmOp {
ADD,
MUL,
DIVI,
DIVII,
SUBI,
SUBII,
MODI,
MODII
};
struct immFun... |
938bafd8002e94b8b7f2c1d63953138cffe05d3f.hip | // !!! This is a file automatically generated by hipify!!!
#include "Mesh.cuh"
#include "book.cuh"
#include <fstream>
#include <iostream>
#include <string>
#include <sstream>
#include <vector>
#include <unordered_map>
#include <map>
using namespace std;
Mesh::Mesh()
{
edges = NULL; verts = NULL; faces = NULL;
edgeN... | 938bafd8002e94b8b7f2c1d63953138cffe05d3f.cu | #include "Mesh.cuh"
#include "book.cuh"
#include <fstream>
#include <iostream>
#include <string>
#include <sstream>
#include <vector>
#include <unordered_map>
#include <map>
using namespace std;
Mesh::Mesh()
{
edges = NULL; verts = NULL; faces = NULL;
edgeNum = 0; vertNum = 0;
}
Mesh::~Mesh()
{
}
bool Mesh::Load... |
b6ad9eec7e73b6a825f856a783d4a1b33d589506.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
% Function: demapper
% Description: Maps complex-valued modulation symbols to binary digits using hard decision
% Inputs: *symbols_R_h: Real part of the symbols
% N: Number of output bits
% Qm: Demodulation type (1=... | b6ad9eec7e73b6a825f856a783d4a1b33d589506.cu | /*
% Function: demapper
% Description: Maps complex-valued modulation symbols to binary digits using hard decision
% Inputs: *symbols_R_h: Real part of the symbols
% N: Number of output bits
% Qm: Demodulation type (1=bpsk, 2=qpsk, 4=16qam, or 6=64qam)
% Outputs: *bits_h: Demodulated bits
By: Ahmad Nour... |
b22dbe9ac871694eb7d142362a6779561c6c1d11.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2018-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
... | b22dbe9ac871694eb7d142362a6779561c6c1d11.cu | /*
* Copyright (c) 2018-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... |
b358a4cc0b5132738ee9fdf15368b0d24c9b7eb2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/native/Pool.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/hip/HIPApplyUtils.cuh>
#include <ATen/hip/detail/TensorInfo.cuh>
#include <ATen/hip/detail/IndexUt... | b358a4cc0b5132738ee9fdf15368b0d24c9b7eb2.cu | #include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/native/Pool.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <ATen/cuda/detail/TensorInfo.cuh>
#include <ATen/cuda/detail/IndexUtils.cuh>
#include <ATen/cuda/detail/KernelUtils.h>
#include <THC/THCNumerics.cuh>
... |
c3ab18c2ba82b4a5f33cae5d7067ce7b843ef441.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#define imin(a,b) (a<b?a:b)
const int threadsPerBlock = 256;
__global__ void gpu_partial_dot_product( double *a, double *b, double *c, int N) {
__shared__ double cache[threadsPerBlock];
int tid = thread... | c3ab18c2ba82b4a5f33cae5d7067ce7b843ef441.cu | #include <stdio.h>
#define imin(a,b) (a<b?a:b)
const int threadsPerBlock = 256;
__global__ void gpu_partial_dot_product( double *a, double *b, double *c, int N) {
__shared__ double cache[threadsPerBlock];
int tid = threadIdx.x + blockIdx.x * blockDim.x;
int cacheIndex = threadIdx.x;
double temp = ... |
b634832f94ded6b349d1910e423fd4ef51291bf9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not ... | b634832f94ded6b349d1910e423fd4ef51291bf9.cu | /*
* SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the Lic... |
b30ae363a8ed2f9772e70d4a832d0904a2e3aef9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cfloat>
#include <vector>
#include "caffe/layers/roi_pooling_layer.hpp"
namespace caffe {
template <typename Dtype>
__global__ void ROIPoolForwardMax(const int nthreads, const Dtype* bottom_data,
const Dtype spatial... | b30ae363a8ed2f9772e70d4a832d0904a2e3aef9.cu | #include <cfloat>
#include <vector>
#include "caffe/layers/roi_pooling_layer.hpp"
namespace caffe {
template <typename Dtype>
__global__ void ROIPoolForwardMax(const int nthreads, const Dtype* bottom_data,
const Dtype spatial_scale, const int channels, const int height,
const int width, const int pooled_heig... |
61303ac7c860509021fe62b6a5171bd45db4639e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.6.2) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date May 2015
@generated from zgecsrmv.cu normal z -> c, Sun May 3 11:22:... | 61303ac7c860509021fe62b6a5171bd45db4639e.cu | /*
-- MAGMA (version 1.6.2) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date May 2015
@generated from zgecsrmv.cu normal z -> c, Sun May 3 11:22:58 2015
*/
#include "common_magma.h"
#define BLOCK_SIZE 256
// CSR-SpMV kernel
__glo... |
dbb92a1e8157ab708117dd71399b9dabc03ee479.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright 2021 Facebook
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apa... | dbb92a1e8157ab708117dd71399b9dabc03ee479.cu | /* Copyright 2021 Facebook
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in wri... |
d43e329201f35884a0444e1e0aef5ec05263b6c3.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include <hip/hip_runtime_api.h>
#define N 1000000
__global__ void vector_add(float *out, float *a, float *b, int n) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; ... | d43e329201f35884a0444e1e0aef5ec05263b6c3.cu | #include <stdlib.h>
#include <cuda_profiler_api.h>
#define N 1000000
__global__ void vector_add(float *out, float *a, float *b, int n) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for(int i = index; i < n; i += stride){
out[i] = a[i] + b[i];
}
}
i... |
7a0aeb3236a5c041519e74f71a562c853adeaec2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// SPDX-FileCopyrightText: 2021 CERN
// SPDX-License-Identifier: Apache-2.0
#include "TestEm3.h"
#include "TestEm3.cuh"
#include <AdePT/Atomic.h>
#include <AdePT/BVHNavigator.h>
#include <AdePT/MParray.h>
#include <CopCore/Global... | 7a0aeb3236a5c041519e74f71a562c853adeaec2.cu | // SPDX-FileCopyrightText: 2021 CERN
// SPDX-License-Identifier: Apache-2.0
#include "TestEm3.h"
#include "TestEm3.cuh"
#include <AdePT/Atomic.h>
#include <AdePT/BVHNavigator.h>
#include <AdePT/MParray.h>
#include <CopCore/Global.h>
#include <CopCore/PhysicalConstants.h>
#include <CopCore/Ranluxpp.h>
#include <VecG... |
de9566464218772201bc6ace65fd724c95f6f14c.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
/*
* This program computes the sum of the elements of
* vector v using the pairwise (cascading) sum algorithm.
*/
#define N 8 // length o... | de9566464218772201bc6ace65fd724c95f6f14c.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <cuda.h>
#include <cuda_runtime.h>
/*
* This program computes the sum of the elements of
* vector v using the pairwise (cascading) sum algorithm.
*/
#define N 8 // length of vector v. MUST BE A POWER OF 2!!!
// Fill the vector v with n random f... |
b77182dfdac08b4e01619eaa501aa98b9ee0b3fb.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "matrix_multiply_tiling_cuda.cu"
#include<chrono>
#include<iostre... | b77182dfdac08b4e01619eaa501aa98b9ee0b3fb.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "matrix_multiply_tiling_cuda.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,... |
5cbf1f738c1fcc50ba8f155a1829e58df1b75ec1.hip | // !!! This is a file automatically generated by hipify!!!
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If... | 5cbf1f738c1fcc50ba8f155a1829e58df1b75ec1.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install... |
e1df70620f45ee8b3ef1d70cedddb548424e58ae.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Prerequisites.cuh"
#include "Angles.cuh"
#include "Correlation.cuh"
#include "CTF.cuh"
#include "FFT.cuh"
#include "Generics.cuh"
#include "Helper.cuh"
#include "ImageManipulation.cuh"
#include "Masking.cuh"
#include "Opti... | e1df70620f45ee8b3ef1d70cedddb548424e58ae.cu | #include "Prerequisites.cuh"
#include "Angles.cuh"
#include "Correlation.cuh"
#include "CTF.cuh"
#include "FFT.cuh"
#include "Generics.cuh"
#include "Helper.cuh"
#include "ImageManipulation.cuh"
#include "Masking.cuh"
#include "Optimization.cuh"
#include "Transformation.cuh"
namespace gtom
{
////////////////////////... |
60b2152366514114cb95046d0ac401105a8a6d76.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* flyingEdgesAlgorithm.cpp
*
* Created on: Feb 17, 2017
* Author: dbourge
*/
#include "FlyingEdgesAlgorithm.h"
#include "CudaMarchingCubesTables.h"
#include <numeric>
#include <algorithm> // TODO
#include <iostream>... | 60b2152366514114cb95046d0ac401105a8a6d76.cu | /*
* flyingEdgesAlgorithm.cpp
*
* Created on: Feb 17, 2017
* Author: dbourge
*/
#include "FlyingEdgesAlgorithm.h"
#include "CudaMarchingCubesTables.h"
#include <numeric>
#include <algorithm> // TODO
#include <iostream> // TODO
#define MAX_X_GRID 65535 // says larger but doesnt work if larger..
#define MA... |
2b5d176c3b9a6ccb0ed95889abee7de34820199b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <unistd.h>
const int threadsPerBlock_x = 16;
//naive
__global__ void MatrixMulKernel1(float *dev_a, float *dev_b, float *dev_c, int n)
{
int x = threadIdx.x + b... | 2b5d176c3b9a6ccb0ed95889abee7de34820199b.cu | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <unistd.h>
const int threadsPerBlock_x = 16;
//naive
__global__ void MatrixMulKernel1(float *dev_a, float *dev_b, float *dev_c, int n)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
float temp... |
aa48415c5a4a6cdba7ed4a2c2fce8ae590f02f4f.hip | // !!! This is a file automatically generated by hipify!!!
#include "scan.hpp"
#include "checkCudaErrors.hpp"
#include "cudaMemory.hpp"
#include "functions.hpp"
#include <hip/hip_runtime.h>
#include <thrust/reduce.h>
#include <thrust/functional.h>
#include <thrust/execution_policy.h>
// -------------------- GPU Par... | aa48415c5a4a6cdba7ed4a2c2fce8ae590f02f4f.cu | #include "scan.hpp"
#include "checkCudaErrors.hpp"
#include "cudaMemory.hpp"
#include "functions.hpp"
#include <cuda.h>
#include <thrust/reduce.h>
#include <thrust/functional.h>
#include <thrust/execution_policy.h>
// -------------------- GPU Parallel Reduce Add (thrust) --------------------
void thrustGPUscan(
... |
377c6aff99921b0db3d20c1b76b4a80606cff13e.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHGeneral.h"
#include "THHTensorCopy.h"
#include "THHApply.cuh"
#include "THHNumerics.cuh"
inline int curGPU() {
int curDev;
THCudaCheck(hipGetDevice(&curDev));
return curDev;
}
// Copy operator for the pointwise apply kernel
template <typen... | 377c6aff99921b0db3d20c1b76b4a80606cff13e.cu | #include "THCGeneral.h"
#include "THCTensorCopy.h"
#include "THCApply.cuh"
#include "THCNumerics.cuh"
inline int curGPU() {
int curDev;
THCudaCheck(cudaGetDevice(&curDev));
return curDev;
}
// Copy operator for the pointwise apply kernel
template <typename TypeDst, typename TypeSrc>
struct CopyOp {
__device_... |
a945b2fb9d129ce3b86b4ea305d3ef782d3c24e0.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHReduceApplyUtils.cuh"
#include <assert.h>
#include <stdlib.h>
// Maximum size per grid dimension that we assume (compute capability >= 2.0)
#define MAX_GRID_SIZE 65535LL
void THCCheckTensorDims(THCState* state, THCudaTensor* tensor, int arg) {
... | a945b2fb9d129ce3b86b4ea305d3ef782d3c24e0.cu | #include "THCReduceApplyUtils.cuh"
#include <assert.h>
#include <stdlib.h>
// Maximum size per grid dimension that we assume (compute capability >= 2.0)
#define MAX_GRID_SIZE 65535LL
void THCCheckTensorDims(THCState* state, THCudaTensor* tensor, int arg) {
int64_t dims = THCudaTensor__nDimension(state, tensor);
... |
f825bc419b9469cb769c330293762030dce44d64.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime_api.h>
#include <stdio.h>
#include <iostream>
#include <vector>
#include <algorithm>
#include <numeric>
#define AxCheckError(err) CheckError(err,__FUNCTION__, __LINE__)
#define AxCheckErrorMsg(err, msg) CheckErrorMsg(err, msg, __FUNCT... | f825bc419b9469cb769c330293762030dce44d64.cu | #include <cuda_profiler_api.h>
#include <stdio.h>
#include <iostream>
#include <vector>
#include <algorithm>
#include <numeric>
#define AxCheckError(err) CheckError(err,__FUNCTION__, __LINE__)
#define AxCheckErrorMsg(err, msg) CheckErrorMsg(err, msg, __FUNCTION__, __LINE__)
void GenerateTestData(int const N, float* c... |
9edc7f985e5d744a2284ba2b270e8d30f72ef30c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// ------------------------------------------------------------------
// Deep Feature Flow
// Copyright (c) 2017 Microsoft
// Licensed under The MIT License
// Written by Yuwen Xiong
// ----------------------------------------------... | 9edc7f985e5d744a2284ba2b270e8d30f72ef30c.cu | // ------------------------------------------------------------------
// Deep Feature Flow
// Copyright (c) 2017 Microsoft
// Licensed under The MIT License
// Written by Yuwen Xiong
// ------------------------------------------------------------------
// Based on:
// Faster R-CNN
// Copyright (c) 2015 Microsoft
// Lic... |
eb733ff8554233fb76e42d6fb934771564301bc3.hip | // !!! This is a file automatically generated by hipify!!!
//---------------------------------------------------------------------------//
// Copyright (c) 2013-2014 Kyle Lutz <kyle.r.lutz@gmail.com>
//
// Distributed under the Boost Software License, Version 1.0
// See accompanying file LICENSE_1_0.txt or copy at
// h... | eb733ff8554233fb76e42d6fb934771564301bc3.cu | //---------------------------------------------------------------------------//
// Copyright (c) 2013-2014 Kyle Lutz <kyle.r.lutz@gmail.com>
//
// Distributed under the Boost Software License, Version 1.0
// See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_0.txt
//
// See http://boosto... |
a5724c9a8bf3c2e09b5908067526e6ad5f946892.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <sys/time.h>
#include <ctime>
#include <fstream>
#include <cmath>
#include <cstdlib>
using namespace std;
//Eratosthanes' sieve on odds
__global__ static void sieve(char *primes, int n, int root)
{
... | a5724c9a8bf3c2e09b5908067526e6ad5f946892.cu | #include <iostream>
#include <sys/time.h>
#include <ctime>
#include <fstream>
#include <cmath>
#include <cstdlib>
using namespace std;
//Eratosthanes' sieve on odds
__global__ static void sieve(char *primes, int n, int root)
{
int i = blockIdx.x * blockDim.x + threadIdx.x + 3;
if (i < root && primes[i] == ... |
10f31187a4dd9d75844051e4fbc3364404d5b05d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// sudo nvprof --unified-memory-profiling off ./ManagedMemoryVecAdd
// Use this command for profiling without errors for unified memory profiling
#include<iostream>
__global__ void vecAdd(int *a, int *b, int *c, int N){
int i = bl... | 10f31187a4dd9d75844051e4fbc3364404d5b05d.cu | // sudo nvprof --unified-memory-profiling off ./ManagedMemoryVecAdd
// Use this command for profiling without errors for unified memory profiling
#include<iostream>
__global__ void vecAdd(int *a, int *b, int *c, int N){
int i = blockDim.x * blockIdx.x + threadIdx.x;
if(i < N){
c[i] = a[i] + b[i];
}
}
__global__ voi... |
41b4d3b1fe2b1f0571eb363973cbea250a3ddc8b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* This example explains how to divide the host and
* device code into separate files using vector addition
*/
#include "kernel.h"
#define N 64
__global__ void addKernel(float *a,float *b) {
int idx=threadIdx.x+blockI... | 41b4d3b1fe2b1f0571eb363973cbea250a3ddc8b.cu | /*
* This example explains how to divide the host and
* device code into separate files using vector addition
*/
#include "kernel.h"
#define N 64
__global__ void addKernel(float *a,float *b) {
int idx=threadIdx.x+blockIdx.x*blockDim.x;
if(idx>=N) return;
a[idx]+=b[idx];
}
void vectorAdd() {
//host m... |
e4cef96fe37ab2986e9875037f884879ca73b0ed.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "common.h"
__global__ void CorrKernel(const float* gpuIm1, const float* gpuIm2, float* R, int N1, int N2, int M);
void checkCUDAError(const char *msg);
void GPUCorr(float* R, const float* im1, const float* im2, int M, int... | e4cef96fe37ab2986e9875037f884879ca73b0ed.cu | #include "common.h"
__global__ void CorrKernel(const float* gpuIm1, const float* gpuIm2, float* R, int N1, int N2, int M);
void checkCUDAError(const char *msg);
void GPUCorr(float* R, const float* im1, const float* im2, int M, int N1, int N2)
{
// pointer to device memory.
float* gpuR;
float* gpuIm1;
... |
ebb959ed5c9e3ee136020b4353bea807574af758.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuimage/cuda/arithmetic.h"
#include "cuimage/cuda/devptr.h"
#include "cuimage/cuda/kernel.h"
#include "cuimage/cuda/utils.h"
#include "cuimage/operations/math_cu.h"
#include <nvfunctional>
namespace cuimage
{
template <... | ebb959ed5c9e3ee136020b4353bea807574af758.cu | #include "cuimage/cuda/arithmetic.h"
#include "cuimage/cuda/devptr.h"
#include "cuimage/cuda/kernel.h"
#include "cuimage/cuda/utils.h"
#include "cuimage/operations/math_cu.h"
#include <nvfunctional>
namespace cuimage
{
template <typename T, typename Op>
__global__ void g_Apply(DevPtr<T> input1, const DevPtr<T> input... |
81fe945b9a405d0cc1660326da55d2ca4377de80.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "sph_header.h"
#include "sph_param.h"
#include "sph_math.h"
#include "sph_kernel.cu"
#include <cutil_math.h>
#define EXP 2.718281f
#define EXT2 1e-12f
#define EXT 1e-6f
__device__ float wavelet(float input)
{
float sigma... | 81fe945b9a405d0cc1660326da55d2ca4377de80.cu | #include "sph_header.h"
#include "sph_param.h"
#include "sph_math.h"
#include "sph_kernel.cu"
#include <cutil_math.h>
#define EXP 2.718281f
#define EXT2 1e-12f
#define EXT 1e-6f
__device__ float wavelet(float input)
{
float sigma=2.0;
return 2.0f/(pow(PI, 0.25f)*pow(3.0f*sigma, 0.5f)) * ((input*input)/(sigma*sigma... |
ca1db359ace27cfcb882c4c2d42842565c4ca240.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void device_api_kernel(hiprandState_t *states, float *out, int N)
{
int i;
int tid = blockIdx.x * blockDim.x + threadIdx.x;
int nthreads = gridDim.x * blockDim.x;
hiprandState_t *state = states + tid... | ca1db359ace27cfcb882c4c2d42842565c4ca240.cu | #include "includes.h"
__global__ void device_api_kernel(curandState *states, float *out, int N)
{
int i;
int tid = blockIdx.x * blockDim.x + threadIdx.x;
int nthreads = gridDim.x * blockDim.x;
curandState *state = states + tid;
curand_init(9384, tid, 0, state);
for (i = tid; i < N; i += nthreads)
{
float rand = curan... |
32d6cf42e6b37d3280ef05844eb277d1bed81cc2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gpu_common.h"
#include <math.h>
namespace seq2seq {
#define SEQ2SEQ_TANH(x) (__fdividef(2.0f, (1.0f + __expf(-2.0f*(x)))) - 1.0f)
#define SEQ2SEQ_TANH_D(x) (1.0f - (x) * (x))
#define SEQ2SEQ_SIGMOID(x) (_... | 32d6cf42e6b37d3280ef05844eb277d1bed81cc2.cu | #include "gpu_common.h"
#include <math.h>
namespace seq2seq {
#define SEQ2SEQ_TANH(x) (__fdividef(2.0f, (1.0f + __expf(-2.0f*(x)))) - 1.0f)
#define SEQ2SEQ_TANH_D(x) (1.0f - (x) * (x))
#define SEQ2SEQ_SIGMOID(x) (__fdividef(1.0f, 1.0f + __expf(-(x))))
#define SEQ2SEQ_SIGMOID_D(x) ((x) * (1.0f - (x))... |
b72bf09bf4123fc2da4ef7e7dc0188ad67dea816.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <arbor/gpu/gpu_common.hpp>
#include <arbor/gpu/math_cu.hpp>
#include <arbor/gpu/reduce_by_key.hpp>
#include <arbor/mechanism_abi.h>
namespace testing {
#define PPACK_IFACE_BLOCK \
auto _pp_var_width __attribu... | b72bf09bf4123fc2da4ef7e7dc0188ad67dea816.cu | #include <arbor/gpu/gpu_common.hpp>
#include <arbor/gpu/math_cu.hpp>
#include <arbor/gpu/reduce_by_key.hpp>
#include <arbor/mechanism_abi.h>
namespace testing {
#define PPACK_IFACE_BLOCK \
auto _pp_var_width __attribute__((unused)) = params_.width;\
auto _pp_var_n_detectors __attribute__((unused))... |
add434b1034d75c3dce60b3e26ab9833df9816af.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019-2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.o... | add434b1034d75c3dce60b3e26ab9833df9816af.cu | /*
* Copyright (c) 2019-2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... |
257d02c16faa2f3f77bcff5ae68bff3fd8e54ffb.hip | // !!! This is a file automatically generated by hipify!!!
#include "util.h"
#include "kernel.h"
#include "matrix.h"
#include <hip/hip_runtime_api.h>
__global__ void mat_mul_nn_kernel(const Matrix A, const Matrix B, Matrix C, const float alpha, const float beta)
{
float Cvalue = 0;
int r = blockIdx.x * blockDim.x ... | 257d02c16faa2f3f77bcff5ae68bff3fd8e54ffb.cu |
#include "util.h"
#include "kernel.h"
#include "matrix.h"
#include <cuda_runtime_api.h>
__global__ void mat_mul_nn_kernel(const Matrix A, const Matrix B, Matrix C, const float alpha, const float beta)
{
float Cvalue = 0;
int r = blockIdx.x * blockDim.x + threadIdx.x;
int c = blockIdx.y * blockDim.y + threadIdx.y;... |
0a142004fff004de44c5884afa2c1d161bd7ff0a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// LabelIslandSortArea.cu
//
#include "LabelIslandSortArea.h"
#include "Histogram.h"
#include <iostream>
using namespace std;
// MAX_PAIRS_NUM
//-
#ifndef MAX_PAIRS_NUM
#define MAX_PAIRS_NUM 256
#endif
// SORT_ARRAY_TYPE_AS... | 0a142004fff004de44c5884afa2c1d161bd7ff0a.cu | // LabelIslandSortArea.cu
// 实现区域排序算法
#include "LabelIslandSortArea.h"
#include "Histogram.h"
#include <iostream>
using namespace std;
// 宏：MAX_PAIRS_NUM
//（面积值-标记值）键值对的个数。
#ifndef MAX_PAIRS_NUM
#define MAX_PAIRS_NUM 256
#endif
// 宏：SORT_ARRAY_TYPE_ASC
// 排序标识，升序排序。
#ifndef SORT_ARRAY_TYPE_ASC
#define SORT_ARRA... |
57a986f7a3c805c347a61205d62a774cf4c0869f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#define Width 31
#define TITE_WIDTH 16
__global__ void MatrixMulKernel (float* Md, float* Nd, float* Pd, int ncols) {
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + thread... | 57a986f7a3c805c347a61205d62a774cf4c0869f.cu | #include <stdio.h>
#define Width 31
#define TITE_WIDTH 16
__global__ void MatrixMulKernel (float* Md, float* Nd, float* Pd, int ncols) {
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
printf("Block ID X : %d and Block ID Y: %d\n", blockIdx.x,blockIdx.y);
float P... |
8e06f88a3d194013848ca872de142d337d0a5400.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/local_response_normalization_op.h"
namespace caffe2 {
namespace {
template <typename T>
__global__ void LRNFillScaleNCHW(const int nthreads, const T* in,
const in... | 8e06f88a3d194013848ca872de142d337d0a5400.cu | #include "caffe2/core/context_gpu.h"
#include "caffe2/operators/local_response_normalization_op.h"
namespace caffe2 {
namespace {
template <typename T>
__global__ void LRNFillScaleNCHW(const int nthreads, const T* in,
const int num, const int channels, const int height,
const int width, const int size, const ... |
c53ddcb345d8fb2c216cbef3a6cbef323d078a70.hip | // !!! This is a file automatically generated by hipify!!!
#include <cmath>
#include <cstdlib>
#include <cstdio>
#include <chrono>
#include <hip/hip_runtime.h>
__global__ void rotate_matrix_parallel (float *matrix, const int n) {
int layer = blockIdx.x * blockDim.x + threadIdx.x;
if (layer < n/2) {
int first =... | c53ddcb345d8fb2c216cbef3a6cbef323d078a70.cu | #include <cmath>
#include <cstdlib>
#include <cstdio>
#include <chrono>
#include <hip/hip_runtime.h>
__global__ void rotate_matrix_parallel (float *matrix, const int n) {
int layer = blockIdx.x * blockDim.x + threadIdx.x;
if (layer < n/2) {
int first = layer;
int last = n - 1 - layer;
for(int i = first... |
381f7e477596228ab68e21728cbc6b4b80d46f74.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hemisphere_implement.h"
#include "brdf_common.h"
__global__ void
hemisphere_kernel(float3* pos, unsigned width)
{
unsigned int x = blockIdx.x*blockDim.x + threadIdx.x;
unsigned int y = blockIdx.y*blockDim.y + thr... | 381f7e477596228ab68e21728cbc6b4b80d46f74.cu | #include "hemisphere_implement.h"
#include "brdf_common.h"
__global__ void
hemisphere_kernel(float3* pos, unsigned width)
{
unsigned int x = blockIdx.x*blockDim.x + threadIdx.x;
unsigned int y = blockIdx.y*blockDim.y + threadIdx.y;
float3 pin = pos[y*width+x];
pos[y*width+x] = normalize(pin);
}
ext... |
e23cdb15af3ed26c2798cd3573c7e5c2c1c9ad85.hip | // !!! This is a file automatically generated by hipify!!!
#define TORCH_ASSERT_NO_OPERATORS
#include <ATen/native/UnaryOps.h>
#include <ATen/native/hip/Loops.cuh>
#include <ATen/native/hip/JitLoops.cuh>
#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
namespace ... | e23cdb15af3ed26c2798cd3573c7e5c2c1c9ad85.cu | #define TORCH_ASSERT_NO_OPERATORS
#include <ATen/native/UnaryOps.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/native/cuda/JitLoops.cuh>
#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
namespace at { namespace native {
template<typename scalar_t>
stru... |
e3f9ac7f36279a83fcfea0640371f849d6828607.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*******************************************************************************
GPU OPTIMIZED MONTE CARLO (GOMC) 2.75
Copyright (C) 2022 GOMC Group
A copy of the MIT License can be found in License.txt
along with this program, also... | e3f9ac7f36279a83fcfea0640371f849d6828607.cu | /*******************************************************************************
GPU OPTIMIZED MONTE CARLO (GOMC) 2.75
Copyright (C) 2022 GOMC Group
A copy of the MIT License can be found in License.txt
along with this program, also can be found at <https://opensource.org/licenses/MIT>.
********************************... |
86dd46537d8c6cf856b0536d93607bbc6520ac4a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* @file sigmoid_internal_device.cu
* @author Daniel Nichols
* @version 0.0.1
* @date 2019-02-23
*
* @copyright Copyright (c) 2019
*/
#include "compute/sigmoid/sigmoid_internal.h"
namespace magmadnn {
namespace internal... | 86dd46537d8c6cf856b0536d93607bbc6520ac4a.cu | /**
* @file sigmoid_internal_device.cu
* @author Daniel Nichols
* @version 0.0.1
* @date 2019-02-23
*
* @copyright Copyright (c) 2019
*/
#include "compute/sigmoid/sigmoid_internal.h"
namespace magmadnn {
namespace internal {
template <typename T>
__global__ void kernel_fast_sigmoid_full_device(unsigned int s... |
a81a8b7bec557202a34f43c81714e48c95f3906f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/THCTensorMathBlas.cu"
#else
THC_API accreal
THCTensor_(dot)(THCState *state, THCTensor *self, THCTensor *src)
{
#if defined(THC_REAL_IS_FLOAT) || defined(THC_REAL_IS_DOUBLE... | a81a8b7bec557202a34f43c81714e48c95f3906f.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/THCTensorMathBlas.cu"
#else
THC_API accreal
THCTensor_(dot)(THCState *state, THCTensor *self, THCTensor *src)
{
#if defined(THC_REAL_IS_FLOAT) || defined(THC_REAL_IS_DOUBLE) || defined(THC_REAL_IS_HALF)
THAssert(THCTensor_(checkGPU)(state, 2, self, src));
... |
b3f981eaa6218c498ca9bdaa1dc94bdc0a9d6bf4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "BatchMatMulExecution.hpp"
namespace MNN {
namespace CUDA {
template <typename T>
__global__ void transpose_bias(T *input, T *output, const T* bias, int batch, int e, int h) {
for (int index = blockIdx.x * blockDim.x +... | b3f981eaa6218c498ca9bdaa1dc94bdc0a9d6bf4.cu | #include "BatchMatMulExecution.hpp"
namespace MNN {
namespace CUDA {
template <typename T>
__global__ void transpose_bias(T *input, T *output, const T* bias, int batch, int e, int h) {
for (int index = blockIdx.x * blockDim.x + threadIdx.x; index < batch * e * h; index += blockDim.x * gridDim.x) {
int i = ... |
146fbbf8e5eb079dc648fab865b9e6d812b87865.hip | // !!! This is a file automatically generated by hipify!!!
#include "../THCTensorMathCompareT.cuh"
#include "THHTensor.hpp"
#include "THHStream.hpp"
#include "../generic/THCTensorMathCompareT.cu"
#include "../THCGenerateHalfType.h"
| 146fbbf8e5eb079dc648fab865b9e6d812b87865.cu | #include "../THCTensorMathCompareT.cuh"
#include "THCTensor.hpp"
#include "THCStream.hpp"
#include "../generic/THCTensorMathCompareT.cu"
#include "../THCGenerateHalfType.h"
|
0170f47eb148e6b826e5f08ca32c744ad2bd0417.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__device__ inline float stableSigmoid(float x) {
if(x >= 0) {
float z = expf(-x);
return 1.0 / (1.0 + z);
} else {
float z = expf(x);
return z / (1.0 + z);
}
}
__global__ void gHighwayForward(float* out, const ... | 0170f47eb148e6b826e5f08ca32c744ad2bd0417.cu | #include "includes.h"
__device__ inline float stableSigmoid(float x) {
if(x >= 0) {
float z = expf(-x);
return 1.0 / (1.0 + z);
} else {
float z = expf(x);
return z / (1.0 + z);
}
}
__global__ void gHighwayForward(float* out, const float* in1, const float* in2, const float* t, size_t length) {
for(int bid = 0; bid < le... |
fcb7ceeabb9268179ada31d4775a598ed43dd110.hip | // !!! This is a file automatically generated by hipify!!!
#ifdef USE_LEGACY_DSLASH
#include <cstdlib>
#include <cstdio>
#include <string>
#include <iostream>
#include <typeinfo>
#include <color_spinor_field.h>
#include <clover_field.h>
// these control the Wilson-type actions
#ifdef GPU_WILSON_DIRAC
//#define DIREC... | fcb7ceeabb9268179ada31d4775a598ed43dd110.cu | #ifdef USE_LEGACY_DSLASH
#include <cstdlib>
#include <cstdio>
#include <string>
#include <iostream>
#include <typeinfo>
#include <color_spinor_field.h>
#include <clover_field.h>
// these control the Wilson-type actions
#ifdef GPU_WILSON_DIRAC
//#define DIRECT_ACCESS_LINK
//#define DIRECT_ACCESS_WILSON_SPINOR
//#defi... |
b2725791e5c4c7e793f982a99a15099742d9bcb4.hip | // !!! This is a file automatically generated by hipify!!!
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THHUNN/generic/HardTanh.hip"
#else
#include <THHUNN/common.h>
void THNN_(HardTanh_updateOutput)(
THCState *state,
THCTensor *input,
THCTensor *output,
accreal min_v... | b2725791e5c4c7e793f982a99a15099742d9bcb4.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THCUNN/generic/HardTanh.cu"
#else
#include <THCUNN/common.h>
void THNN_(HardTanh_updateOutput)(
THCState *state,
THCTensor *input,
THCTensor *output,
accreal min_val_,
accreal max_val_,
bool inplace)
{... |
c76306603d046fd90be63b2dbfb0e6cc6d415c27.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* @file bf_parallel.cu
* @author Federico Picchi
* @brief CUDA-based implementation of Bilateral Filter
* @date June 2021
*
* @copyright Copyright (c) 2021
*
*/
#include "bilateral_filter/bf.hpp"
#if defined(_DEBUG)
... | c76306603d046fd90be63b2dbfb0e6cc6d415c27.cu | /**
* @file bf_parallel.cu
* @author Federico Picchi
* @brief CUDA-based implementation of Bilateral Filter
* @date June 2021
*
* @copyright Copyright (c) 2021
*
*/
#include "bilateral_filter/bf.hpp"
#if defined(_DEBUG)
#include <iostream>
#endif
inline void handleError(cudaError_t err, int line) {
#if def... |
6036fdba870504fbe74e0c5a8e156e2b47d57287.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "simple.hpp"
/*The CUDA kernel */
__global__ void vector_add_cu(float *out, float *a, float *b, int n){
for(int i = 0; i < n; i++){
out[i] = a[i] + b[i];
}
}
/* Implementation of the function to be wrapped by Cython *... | 6036fdba870504fbe74e0c5a8e156e2b47d57287.cu | #include "simple.hpp"
/*The CUDA kernel */
__global__ void vector_add_cu(float *out, float *a, float *b, int n){
for(int i = 0; i < n; i++){
out[i] = a[i] + b[i];
}
}
/* Implementation of the function to be wrapped by Cython */
void addition(float *out, float *a, float *b, int N){
float *d_a, *d_b, *d_ou... |
37b19667c7c644ebf561c0fd666c16a6f518f910.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "ndt_gpu/NormalDistributionsTransform.h"
#include "ndt_gpu/debug.h"
#include <cmath>
#include <iostream>
#include <pcl/common/transforms.h>
#include "glog/logging.h"
using std::endl;
namespace gpu {
GNormalDistributions... | 37b19667c7c644ebf561c0fd666c16a6f518f910.cu | #include "ndt_gpu/NormalDistributionsTransform.h"
#include "ndt_gpu/debug.h"
#include <cmath>
#include <iostream>
#include <pcl/common/transforms.h>
#include "glog/logging.h"
using std::endl;
namespace gpu {
GNormalDistributionsTransform::GNormalDistributionsTransform()
{
//GRegistration::GRegistration();
gauss_... |
e6a4d88005a0d5aba10ca2b709c4720bad5ef75b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
* Copyright 2017 XGBoost contributors
*/
#include <thrust/reduce.h>
#include <thrust/execution_policy.h>
#include <thrust/sequence.h>
#include <xgboost/tree_updater.h>
#include <algorithm>
#include <memory>
#include <queue>
#i... | e6a4d88005a0d5aba10ca2b709c4720bad5ef75b.cu | /*!
* Copyright 2017 XGBoost contributors
*/
#include <thrust/reduce.h>
#include <thrust/execution_policy.h>
#include <thrust/sequence.h>
#include <xgboost/tree_updater.h>
#include <algorithm>
#include <memory>
#include <queue>
#include <utility>
#include <vector>
#include "../common/compressed_iterator.h"
#include "... |
fc6c4ed928fd4b9d7322b831f7f3ff27ee8f67c5.hip | // !!! This is a file automatically generated by hipify!!!
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// I... | fc6c4ed928fd4b9d7322b831f7f3ff27ee8f67c5.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
5814ada8b4e81505d041ab7653084eb949b235a0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* R... | 5814ada8b4e81505d041ab7653084eb949b235a0.cu | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... |
8a15c18a4f7f07bb3086f97c2eb273b05a208a86.hip | // !!! This is a file automatically generated by hipify!!!
/* -----------------------------------------------------------------
* Programmer(s): Slaven Peles, and Cody J. Balos @ LLNL
* -----------------------------------------------------------------
* SUNDIALS Copyright Start
* Copyright (c) 2002-2021, Lawrence L... | 8a15c18a4f7f07bb3086f97c2eb273b05a208a86.cu | /* -----------------------------------------------------------------
* Programmer(s): Slaven Peles, and Cody J. Balos @ LLNL
* -----------------------------------------------------------------
* SUNDIALS Copyright Start
* Copyright (c) 2002-2021, Lawrence Livermore National Security
* and Southern Methodist Univer... |
cmp_cmp_ptx.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <helper_cuda.h>
#include <helper_functions.h>
#include "cuda_intrinsics.h"
#include "cuda_warptrace.h"
#define FLTSIZE sizeof(float)
inline int BLK(int data, int ... | cmp_cmp_ptx.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <cuda_runtime.h>
#include <helper_cuda.h>
#include <helper_functions.h>
#include "cuda_intrinsics.h"
#include "cuda_warptrace.h"
#define FLTSIZE sizeof(float)
inline int BLK(int data, int blocksize)
{
return (data + blocksize - 1) / blocksize;
}
__... |
39a52ade80f9441dc9da9b21cee122205a8e50e7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void group_point_grad_gpu(int b, int n, int c, int m, int nsample, const float *grad_out, const int *idx, float *grad_points) {
int batch_index = blockIdx.x;
idx += m*nsample*batch_index;
grad_out +=... | 39a52ade80f9441dc9da9b21cee122205a8e50e7.cu | #include "includes.h"
__global__ void group_point_grad_gpu(int b, int n, int c, int m, int nsample, const float *grad_out, const int *idx, float *grad_points) {
int batch_index = blockIdx.x;
idx += m*nsample*batch_index;
grad_out += m*nsample*c*batch_index;
grad_points += n*c*batch_index;
int index = threadIdx.x;
int ... |
28c168561fba9748350c7bbf6db6320cd4bbf893.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include "cuda_utils.h"
// input: points(b, c, n) idx(b, npoints, nsample)
// output: out(b, c, npoints, nsample)
__global__ void group_points_kernel(int b, int c, int n, int npoints,
... | 28c168561fba9748350c7bbf6db6320cd4bbf893.cu | #include <stdio.h>
#include <stdlib.h>
#include "cuda_utils.h"
// input: points(b, c, n) idx(b, npoints, nsample)
// output: out(b, c, npoints, nsample)
__global__ void group_points_kernel(int b, int c, int n, int npoints,
int nsample,
const floa... |
76cfdf11c74aa416878fec1b660745fb985263bd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
******************* BEGIN Caffe Copyright Notice and Disclaimer
*****************
*
* COPYRIGHT
*
* All contributions by the University of California:
* Copyright (c) 2014-2017 The Regents of the University of California ... | 76cfdf11c74aa416878fec1b660745fb985263bd.cu | /*!
******************* BEGIN Caffe Copyright Notice and Disclaimer
*****************
*
* COPYRIGHT
*
* All contributions by the University of California:
* Copyright (c) 2014-2017 The Regents of the University of California (Regents)
* All rights reserved.
*
* All other contributions:
* Copyright (c) 2014-2... |
d8f17b897899d4e4892379b9bc5766eef7c2a0f8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 2014 Nervana Systems Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the... | d8f17b897899d4e4892379b9bc5766eef7c2a0f8.cu | /*
* Copyright 2014 Nervana Systems Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required ... |
fc744308f297b8c73602738bc195538c98bf80d8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cellularautomata_kernal.h"
#include <hip/hip_vector_types.h>
#include <cstdio>
//extern "C" bool
extern "C" float CUDATimeStep(int* pFlatGrid, int DIM) {
int *dev_pFlatGrid; //Pointers to device allocated memory
int *... | fc744308f297b8c73602738bc195538c98bf80d8.cu | #include "cellularautomata_kernal.h"
#include <vector_types.h>
#include <cstdio>
//extern "C" bool
extern "C" float CUDATimeStep(int* pFlatGrid, int DIM) {
int *dev_pFlatGrid; //Pointers to device allocated memory
int *dev_DIM;
cudaEvent_t start,stop; //Events for timings
//START: Record duration of GPGPU proc... |
940d119173095e1c8b549be1835da2dc0576fa02.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHTensorMath.h"
#include "THHGeneral.h"
#include "TH/THHalf.h"
#include "THHTensorCopy.h"
#include "THHApply.cuh"
#include "THHNumerics.cuh"
#include "THHTensorMathCompareT.cuh"
#include "THHTensor.hpp"
template <typename T>
struct TensorAddConstant... | 940d119173095e1c8b549be1835da2dc0576fa02.cu | #include "THCTensorMath.h"
#include "THCGeneral.h"
#include "TH/THHalf.h"
#include "THCTensorCopy.h"
#include "THCApply.cuh"
#include "THCNumerics.cuh"
#include "THCTensorMathCompareT.cuh"
#include "THCTensor.hpp"
template <typename T>
struct TensorAddConstantOp {
TensorAddConstantOp(T v) : val(v) {}
__device__ __... |
8000d71705826fea7c04034840660a06495d105b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "common.h"
//void checkCUDAErrorFn(const char *msg, const char *file, int line) {
// hipError_t err = hipGetLastError();
// if (hipSuccess == err) {
// return;
// }
//
// fprintf(stderr, "CUDA error");
/... | 8000d71705826fea7c04034840660a06495d105b.cu | #include "common.h"
//void checkCUDAErrorFn(const char *msg, const char *file, int line) {
// cudaError_t err = cudaGetLastError();
// if (cudaSuccess == err) {
// return;
// }
//
// fprintf(stderr, "CUDA error");
// if (file) {
// fprintf(stderr, " (%s:%d)", file, line);
// }
// fpr... |
adb8c39b5fae7402fe1aded51fa5891284d6e931.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hiprand/hiprand.h"
#include "rocblas.h"
extern "C" {
#include "dropout_layer.h"
#include "hip/hip_runtime.h"
#include "utils.h"
}
__global__ void yoloswag420blazeit360noscope(float *input, int size, float *rand, float pr... | adb8c39b5fae7402fe1aded51fa5891284d6e931.cu | #include "cuda_runtime.h"
#include "curand.h"
#include "cublas_v2.h"
extern "C" {
#include "dropout_layer.h"
#include "cuda.h"
#include "utils.h"
}
__global__ void yoloswag420blazeit360noscope(float *input, int size, float *rand, float prob, float scale) {
int id = (blockIdx.x + blockIdx.y * gridDim.x) * blockDim... |
cc20e2621b2a23075496a1d3825f7b7c7dfe70e7.hip | // !!! This is a file automatically generated by hipify!!!
#define BLOCK_SIZE 64
#define _DEBUG
#include "cutil.h"
#include <hip/hip_runtime.h>
#include <stdio.h>
#include "cuda_memory.h"
//#ifdef WIN32
//#include "win32time.h"
//#else
#include <sys/time.h>
//#endif
#include "MirroredArray.h"
#include "hash_table_p... | cc20e2621b2a23075496a1d3825f7b7c7dfe70e7.cu |
#define BLOCK_SIZE 64
#define _DEBUG
#include "cutil.h"
#include <cuda_runtime.h>
#include <stdio.h>
#include "cuda_memory.h"
//#ifdef WIN32
//#include "win32time.h"
//#else
#include <sys/time.h>
//#endif
#include "MirroredArray.h"
#include "hash_table_pycuda.cu"
//#ifdef LIBRARY
//extern "C"
//#ifdef WIN32
//__... |
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