hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
f27fb53ae94e9b7bac000f67e2cd916b8d7b1303.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hipsparse.h"
#include <thrust/sort.h>
#include <thrust/device_ptr.h>
#include "lusol.h"
__global__
void LU_SOL_DYNR_INIT(int n, int *ia, int *da, int *dpl, int *dpu);
__global__ void DYNR_ANA_1(int n, int *ia, int *ii);
_... | f27fb53ae94e9b7bac000f67e2cd916b8d7b1303.cu | #include "cusparse.h"
#include <thrust/sort.h>
#include <thrust/device_ptr.h>
#include "lusol.h"
__global__
void LU_SOL_DYNR_INIT(int n, int *ia, int *da, int *dpl, int *dpu);
__global__ void DYNR_ANA_1(int n, int *ia, int *ii);
__global__ void DYNR_ANA_2(int n, int nnz, int *jb, int *jj, int *ib, int *db);
/*-------... |
94beebf6b97adf45fce55f62827dc9ac1631d218.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
%%cu
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
__global__ void reverseWord(char *str, char *rev_str){
int space = 0, start_index, end_index, len_word;
int id = blockIdx.x * blockDim.x + threadIdx.x;
char *ptr_st... | 94beebf6b97adf45fce55f62827dc9ac1631d218.cu | %%cu
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
__global__ void reverseWord(char *str, char *rev_str){
int space = 0, start_index, end_index, len_word;
int id = blockIdx.x * blockDim.x + threadIdx.x;
char *ptr_start = str, *ptr_end, *ptr_space;
ptr_space = ptr_start;
while((*ptr_space) != ' ' && (... |
623c32135aa4dca4bcd0c141aa23fb6452ca8e59.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/hip/HIPContext.h>
#include <THH/THHAtomics.cuh>
#include <THH/THHDeviceUtils.cuh>
#include "gaussian_smooth.h"
#define CUDA_KERNEL_LOOP(i ,n) \
for (int i = blockIdx.x * blockDim.x + thread... | 623c32135aa4dca4bcd0c141aa23fb6452ca8e59.cu | #include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <THC/THCAtomics.cuh>
#include <THC/THCDeviceUtils.cuh>
#include "gaussian_smooth.h"
#define CUDA_KERNEL_LOOP(i ,n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i<(n); i+= blockDim.x * gridDim.x)
#define SQRT_2Pi 2.5066282746310002
#define... |
7c772d065e78d87961155068b7bc7277f972110f.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 "cu_log.cu"
#include<chrono>
#include<iostream>
using namespace s... | 7c772d065e78d87961155068b7bc7277f972110f.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 "cu_log.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{3... |
0b5064bcc2073b9206765ac9313ba0f51f080551.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cu_testAtomic_impl.h"
#include <bvh_common.h>
__global__ void testAtomic_kernel(int * obin,
int * idata,
int h,
int n)
{
unsigned ind = blockIdx.x*blockDim.x... | 0b5064bcc2073b9206765ac9313ba0f51f080551.cu | #include "cu_testAtomic_impl.h"
#include <bvh_common.h>
__global__ void testAtomic_kernel(int * obin,
int * idata,
int h,
int n)
{
unsigned ind = blockIdx.x*blockDim.x + threadIdx.x;
if(ind >= n) return;
int d = idata[ind];
atomicAdd(&obin[d/h],... |
e0809c9da51c7709ef71ec02c3b189634becb346.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
// CUDA kernel. Each thread takes care of one element of c
__global__ void vecAdd(double *a, double *b, double *c, int n)
{
// Get our global thread ID
int id = blo... | e0809c9da51c7709ef71ec02c3b189634becb346.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
// CUDA kernel. Each thread takes care of one element of c
__global__ void vecAdd(double *a, double *b, double *c, int n)
{
// Get our global thread ID
int id = blockIdx.x*blockDim.x+threadIdx.x;
// Make sure we do not go out of bounds
if (id... |
18ff04c373826893bd89ecde91c5ddde1ff6488f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<stdio.h>
#include<stdlib.h>
__global__ void print_from_gpu(void) {
printf("Hello World! from thread [%d,%d] \
From device\n", threadIdx.x,blockIdx.x);
}
int main(void) {
printf("Hello World from host!\n");
hipLaun... | 18ff04c373826893bd89ecde91c5ddde1ff6488f.cu | #include<stdio.h>
#include<stdlib.h>
__global__ void print_from_gpu(void) {
printf("Hello World! from thread [%d,%d] \
From device\n", threadIdx.x,blockIdx.x);
}
int main(void) {
printf("Hello World from host!\n");
print_from_gpu<<<1,1>>>();
cudaDeviceSynchronize();
return 0;
}
|
6cfc20be90c7e52ea30253e0e02a22d62031f013.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Simplified simulation of life evolution
*
* Computacion Paralela, Grado en Informatica (Universidad de Valladolid)
* 2019/2020
*
* v1.5
*
* CHANGES:
* 1) Float values have been substituted by fixed point arithmetics
... | 6cfc20be90c7e52ea30253e0e02a22d62031f013.cu | /*
* Simplified simulation of life evolution
*
* Computacion Paralela, Grado en Informatica (Universidad de Valladolid)
* 2019/2020
*
* v1.5
*
* CHANGES:
* 1) Float values have been substituted by fixed point arithmetics
* using integers. To simplify, the fixed point arithmetics are done
* with PRECISION i... |
17899c732434854b1bb63cbf26cae7db56a7ea9e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef WITH_CUDA
#include "core/context_cuda.h"
#include "utils/op_kernel.h"
namespace dragon {
namespace kernel {
/*! Equal <T = float32, Device = CUDA> */
template <typename T>
__global__ void _Equal(
const int ... | 17899c732434854b1bb63cbf26cae7db56a7ea9e.cu | #ifdef WITH_CUDA
#include "core/context_cuda.h"
#include "utils/op_kernel.h"
namespace dragon {
namespace kernel {
/*! Equal <T = float32, Device = CUDA> */
template <typename T>
__global__ void _Equal(
const int count,
const T* a,
const T* b,
T* ... |
fb36c6f5061893cbe71c9848147f7a1b27ae4fef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<stdio.h>
#include"scrImagePgmPpmPackage.h"
const float SCALE_RATIO = 0.5;
//Step 1: Texture Memory
texture<unsigned char, 2, hipReadModeElementType> text;
//Kernel to calculate resized size
__global__ void resized(... | fb36c6f5061893cbe71c9848147f7a1b27ae4fef.cu | #include<stdio.h>
#include"scrImagePgmPpmPackage.h"
const float SCALE_RATIO = 0.5;
//Step 1: Texture Memory
texture<unsigned char, 2, cudaReadModeElementType> text;
//Kernel to calculate resized size
__global__ void resized(unsigned char *imgData, int width, float scale_factor, cudaTextureObject_t texObj) {
... |
e70e6e1514d7a9f5fe3d6c13464e77d792a5019b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <unittest/unittest.h>
#include <thrust/pair.h>
#include <thrust/sort.h>
#include <thrust/transform.h>
#include <thrust/sequence.h>
#include <thrust/execution_policy.h>
template<typename Iterator1, typename Iterator2, type... | e70e6e1514d7a9f5fe3d6c13464e77d792a5019b.cu | #include <unittest/unittest.h>
#include <thrust/pair.h>
#include <thrust/sort.h>
#include <thrust/transform.h>
#include <thrust/sequence.h>
#include <thrust/execution_policy.h>
template<typename Iterator1, typename Iterator2, typename Iterator3>
__global__
void stable_sort_by_key_kernel(Iterator1 keys_first, Iterator... |
d25e5e106779392c774653a1dcacf728b2400066.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef WITH_CUDA
#include <cmath>
#include "core/context_cuda.h"
#include "core/tensor.h"
#include "utils/cuda_device.h"
#include "utils/op_kernel.h"
#include "utils/math_functions.h"
#include "utils/cast.h"
namespace dragon {
n... | d25e5e106779392c774653a1dcacf728b2400066.cu | #ifdef WITH_CUDA
#include <cmath>
#include "core/context_cuda.h"
#include "core/tensor.h"
#include "utils/cuda_device.h"
#include "utils/op_kernel.h"
#include "utils/math_functions.h"
#include "utils/cast.h"
namespace dragon {
namespace kernel {
/******************** activation.dropout ********************/
templ... |
bc3d4c93310ff2447c6fd8ba4758c2f2dca46e80.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <cstdlib>
#include <sys/time.h>
#include <hip/hip_runtime.h>
#include "MatUtil.h"
#include "debug.h"
#if (APSP_VER == 1)
#include "Floyd.h"
#elif (APSP_VER == 2)
#include "Floyd_coa.h"
#elif (APSP_VER == 3)
#include "... | bc3d4c93310ff2447c6fd8ba4758c2f2dca46e80.cu | #include <iostream>
#include <cstdlib>
#include <sys/time.h>
#include <cuda_runtime.h>
#include "MatUtil.h"
#include "debug.h"
#if (APSP_VER == 1)
#include "Floyd.h"
#elif (APSP_VER == 2)
#include "Floyd_coa.h"
#elif (APSP_VER == 3)
#include "Floyd_sm.h"
#else
#include "Floyd_blk.h"
#endif
using nam... |
33b105c630bb37129a6556f3b755f26d1b4a939b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void MyKernel(int *a, int *b, int *c, int N)
{
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if (idx < N) { c[idx] = a[idx] + b[idx]; }
} | 33b105c630bb37129a6556f3b755f26d1b4a939b.cu | #include "includes.h"
__global__ void MyKernel(int *a, int *b, int *c, int N)
{
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if (idx < N) { c[idx] = a[idx] + b[idx]; }
} |
f09889a37f4aebcec1627137efa3320088d93f16.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/SpatialUpSamplingNearest.cu"
#else
#include "../common.h"
static inline void THNN_(SpatialUpSamplingNearest_shapeCheck)
(THCState *state,THCTensor ... | f09889a37f4aebcec1627137efa3320088d93f16.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/SpatialUpSamplingNearest.cu"
#else
#include "../common.h"
static inline void THNN_(SpatialUpSamplingNearest_shapeCheck)
(THCState *state,THCTensor *input, THCTensor *gradOutput,
int scale_factor) {
THArgCheck... |
8dbda6230a8bc64fe2f8935291a02304b6b4dedf.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <cmath>
#include <assert.h>
#include <time.h>
#include "init.h"
/// Compute squared Euclidean distance transform for each column.
/**
Two scan... | 8dbda6230a8bc64fe2f8935291a02304b6b4dedf.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <cmath>
#include <assert.h>
#include <time.h>
#include "init.h"
/// Compute squared Euclidean distance transform for each column.
/**
Two scans are performed to find squared distance to the closest pixel
... |
797310871c130b5d21839afb208435e3b82562d8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Tencent is pleased to support the open source community by making TNN available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you... | 797310871c130b5d21839afb208435e3b82562d8.cu | // Tencent is pleased to support the open source community by making TNN available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy o... |
a22f2d52e87d81674fdea8498801186c524e6040.hip | // !!! This is a file automatically generated by hipify!!!
#include "che.cuh"
__host__ __device__
index_t cu_trig(index_t he)
{
if(he == NIL) return NIL;
return he / che::P;
}
__host__ __device__
index_t cu_next(index_t he)
{
if(he == NIL) return NIL;
return che::P * cu_trig(he) + (he + 1) % che::P;
}
__host__ _... | a22f2d52e87d81674fdea8498801186c524e6040.cu | #include "che.cuh"
__host__ __device__
index_t cu_trig(index_t he)
{
if(he == NIL) return NIL;
return he / che::P;
}
__host__ __device__
index_t cu_next(index_t he)
{
if(he == NIL) return NIL;
return che::P * cu_trig(he) + (he + 1) % che::P;
}
__host__ __device__
index_t cu_prev(index_t he)
{
if(he == NIL) retu... |
06dec2bd4a9a88be09cb985d1fcf8acba72fd24c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2016, National University of Defense Technology
// Author: Xuhao Chen <cxh@illinois.edu>
#include <stdio.h>
#define SYMGS_VARIANT "base"
#include "symgs.h"
#include "cuda_launch_config.hpp"
#include "cutil_subset.h"
#in... | 06dec2bd4a9a88be09cb985d1fcf8acba72fd24c.cu | // Copyright 2016, National University of Defense Technology
// Author: Xuhao Chen <cxh@illinois.edu>
#include <stdio.h>
#define SYMGS_VARIANT "base"
#include "symgs.h"
#include "cuda_launch_config.hpp"
#include "cutil_subset.h"
#include "timer.h"
__global__ void gs_kernel(int num_rows, int * Ap, int * Aj, int* indice... |
b547ed57aa7b7b72428ea885803c4f359f70f792.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Modification of Ingemar Ragnemalm "Real Hello World!" program
// To compile execute below:
// nvcc hello-world.cu -L /usr/local/cuda/lib -lcudart -o hello-world
#include <stdio.h>
#define N 16
#define BLOCK_SIZE 16
#define NUM_... | b547ed57aa7b7b72428ea885803c4f359f70f792.cu | // Modification of Ingemar Ragnemalm "Real Hello World!" program
// To compile execute below:
// nvcc hello-world.cu -L /usr/local/cuda/lib -lcudart -o hello-world
#include <stdio.h>
#define N 16
#define BLOCK_SIZE 16
#define NUM_BLOCKS N/BLOCK_SIZE
#define ARRAY_SIZE N
#define ARRAY_SIZE_IN_BYTES (sizeof(unsigned i... |
73af28a96a996f725cf156992210952f13e5ef20.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
\file tfising.cu
\brief Functions to generate a Hamiltonian for the Transverse Field Ising model
*/
#include "hamiltonian.h"
__device__ float HOffBondXTFI(const int si, const int bra, const float JJ)
{
float valH;
... | 73af28a96a996f725cf156992210952f13e5ef20.cu | /*!
\file tfising.cu
\brief Functions to generate a Hamiltonian for the Transverse Field Ising model
*/
#include "hamiltonian.h"
__device__ float HOffBondXTFI(const int si, const int bra, const float JJ)
{
float valH;
//int S0, S1;
//int T0, T1;
valH = JJ; //contribution from the J part of th... |
283573dc2a8f9b7e790abdf2a26f7edf50a751fa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//Example 3.2.2
#include <stdio.h>
#include "../common/book.h"
__global__ void multiply(int a, int b, int *c) {
*c = a * b;
}
int main(void) {
int c;
int *dev_c;
HANDLE_ERROR(hipMalloc((void**)&dev_c, sizeof(int)));
hipLaunc... | 283573dc2a8f9b7e790abdf2a26f7edf50a751fa.cu | //Example 3.2.2
#include <stdio.h>
#include "../common/book.h"
__global__ void multiply(int a, int b, int *c) {
*c = a * b;
}
int main(void) {
int c;
int *dev_c;
HANDLE_ERROR(cudaMalloc((void**)&dev_c, sizeof(int)));
multiply <<< 1, 1 >>> (4, 11, dev_c);
HANDLE_ERROR(cudaMemcpy(&c, dev_c, sizeof(int), cudaMe... |
97672e6410d3dd269a65eadccb87f7b5fa623492.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <sys/time.h>
#define SAMPLE_TEST_LEN 2048
#define SCALER 4096
#define LUT_SIZE 1024
__device__
short lut_sigmoid[LUT_SIZE] = {
2048,2056,2064,2072,2080,2088,2096,2104,
2112,2120,2128,2136,2144,2... | 97672e6410d3dd269a65eadccb87f7b5fa623492.cu | #include <stdio.h>
#include <sys/time.h>
#define SAMPLE_TEST_LEN 2048
#define SCALER 4096
#define LUT_SIZE 1024
__device__
short lut_sigmoid[LUT_SIZE] = {
2048,2056,2064,2072,2080,2088,2096,2104,
2112,2120,2128,2136,2144,2152,2160,2168,
2176,2184,2192,2200,2208,2216,2224,2232,
2239,2247,2255,2263,2271... |
bd05a3b7a6c71bff278639d518c97f3a521c7a26.hip | // !!! This is a file automatically generated by hipify!!!
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include <iostream>
using namespace std;
using namespace cv;
... | bd05a3b7a6c71bff278639d518c97f3a521c7a26.cu | #include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <iostream>
using namespace std;
using namespace cv;
_global_ void knn(uchar4 * input_image, uchar4 * output_image, int k) {
... |
6326365ee9ac6e3a9ec0377b6938fd2bd5510856.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2016 paddlepaddle Authors. 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 ... | 6326365ee9ac6e3a9ec0377b6938fd2bd5510856.cu | /* Copyright (c) 2016 paddlepaddle Authors. 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 by applicable law or... |
205519b2a468f08f946378742a32a0187e8b4bb6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/operators/affine_channel_op.h"
#include <hipcub/hipcub.hpp>
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
namespace {
template <typename T>
using BlockReduce = hipcub::BlockReduce<T, CAFFE_CUDA_NUM_TH... | 205519b2a468f08f946378742a32a0187e8b4bb6.cu | #include "caffe2/operators/affine_channel_op.h"
#include <cub/block/block_reduce.cuh>
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
namespace {
template <typename T>
using BlockReduce = cub::BlockReduce<T, CAFFE_CUDA_NUM_THREADS>;
template <typename T, StorageOrder kOrder>
__global__ void AffineChannelS... |
786f624cdd69d6bc603c7fd1af1e7d54bf923a0e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2016 PaddlePaddle Authors. 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 ... | 786f624cdd69d6bc603c7fd1af1e7d54bf923a0e.cu | /* Copyright (c) 2016 PaddlePaddle Authors. 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 by applicable law or... |
433dd3dc21d0180c3978467e51160958cc82613a.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 "dev_const.cu"
#include<chrono>
#include<iostream>
using namespac... | 433dd3dc21d0180c3978467e51160958cc82613a.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 "dev_const.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24}... |
40cfe32a3ab7b5358fc6853d1a19736cebf53df2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2022 PaddlePaddle Authors. 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 ... | 40cfe32a3ab7b5358fc6853d1a19736cebf53df2.cu | /* Copyright (c) 2022 PaddlePaddle Authors. 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 by applicable law or... |
f9a08dab7c89a452a13fb91e67ddfe8b3e551f37.hip | // !!! This is a file automatically generated by hipify!!!
#include"CudaHelper.cuh"
#include"CudaInterface.hpp"
int currCudaDeviceID = 0;
void Anime4KCPP::Cuda::cuSetDeviceID(const int id)
{
if (id < 0 || id >= cuGetDeviceCount())
currCudaDeviceID = 0;
else
currCudaDeviceID = id;
}
int Anime4... | f9a08dab7c89a452a13fb91e67ddfe8b3e551f37.cu | #include"CudaHelper.cuh"
#include"CudaInterface.hpp"
int currCudaDeviceID = 0;
void Anime4KCPP::Cuda::cuSetDeviceID(const int id)
{
if (id < 0 || id >= cuGetDeviceCount())
currCudaDeviceID = 0;
else
currCudaDeviceID = id;
}
int Anime4KCPP::Cuda::cuGetDeviceID() noexcept
{
return currCudaD... |
97f9a14427789464feaf088028ec9086a2be80b9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2009-2014 The Regents of
the University of Michigan All rights reserved.
HOOMD-blue may contain modifica... | 97f9a14427789464feaf088028ec9086a2be80b9.cu | /*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2009-2014 The Regents of
the University of Michigan All rights reserved.
HOOMD-blue may contain modifications ("Contributions") provided, and to which
copyright is held, by various Contributor... |
03c7ae99e77d033eec3c5c421dfcb9922ab375ae.hip | // !!! This is a file automatically generated by hipify!!!
// This file contains the reduce kernel and its wrapper. The code comes from CUDA
// sdk example "CUDA_path/Samples/6_Advanced/reduction". This uses the kernel 4
// since it doesn't require the input to be power of 2 yet still retain most optimization
// be def... | 03c7ae99e77d033eec3c5c421dfcb9922ab375ae.cu | // This file contains the reduce kernel and its wrapper. The code comes from CUDA
// sdk example "CUDA_path/Samples/6_Advanced/reduction". This uses the kernel 4
// since it doesn't require the input to be power of 2 yet still retain most optimization
// be definitely fast enough to handle 500cube image reduction
#inc... |
db674a83c34a7993bcc94e445b8bbf33717a5787.hip | // !!! This is a file automatically generated by hipify!!!
#include <cutil.h>
#include <hip/hip_runtime.h>
#ifdef _WIN32
#include <windows.h>
#endif
#include "../Algorithm/Configuration.h"
#ifdef VIS
#include <cuda_gl_interop.h>
#include <cutil_inline_runtime.h>
#endif
#include "GraphStorage.h"
/**
* CPU side memor... | db674a83c34a7993bcc94e445b8bbf33717a5787.cu | #include <cutil.h>
#include <cuda_runtime.h>
#ifdef _WIN32
#include <windows.h>
#endif
#include "../Algorithm/Configuration.h"
#ifdef VIS
#include <cuda_gl_interop.h>
#include <cutil_inline_runtime.h>
#endif
#include "GraphStorage.h"
/**
* CPU side memory allocator
* @param [in] ptr predefined CPU pointer
* @param ... |
5eef4ec928be29012b27233f7b5cc0684b3d88ba.hip | // !!! This is a file automatically generated by hipify!!!
#if !MEGDNN_TEGRA_X1
// generated by gen_cuda_conv_bias_kern_impls.py
// ignore warning of cutlass
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "src/cuda/conv_bias/in... | 5eef4ec928be29012b27233f7b5cc0684b3d88ba.cu | #if !MEGDNN_TEGRA_X1
// generated by gen_cuda_conv_bias_kern_impls.py
// ignore warning of cutlass
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "src/cuda/conv_bias/int8/conv_bias_int8_implicit_gemm_cutlass_wrapper.cuinl"
usi... |
d2230ff0ab03535c9fe2018b5275ef319db494ad.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2018 PaddlePaddle Authors. 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:... | d2230ff0ab03535c9fe2018b5275ef319db494ad.cu | // Copyright (c) 2018 PaddlePaddle Authors. 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... |
a447ec837b3f427dc4447555955bf4a44a03659c.hip | // !!! This is a file automatically generated by hipify!!!
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
//#include "utils.h"
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <string>
cv::Mat imageRGBA;
cv::Mat imageOut;
uchar4 *d_rgbaImage__;
... | a447ec837b3f427dc4447555955bf4a44a03659c.cu | #include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
//#include "utils.h"
#include <cuda.h>
#include <cuda_runtime.h>
#include <string>
cv::Mat imageRGBA;
cv::Mat imageOut;
uchar4 *d_rgbaImage__;
uchar4 *d_blurImage__;
size_t numRows() { return imageRGBA.rows; }
size_... |
d39db71e5d8f2498021cebf8bcf9e2df1aea97d4.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <armadillo>
#include <vector>
#include <string>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
using namespace std;
__global__ void suma_vectores(float *c ,float *a , float *b,int N)... | d39db71e5d8f2498021cebf8bcf9e2df1aea97d4.cu | #include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <armadillo>
#include <vector>
#include <string>
#include <cuda_runtime.h>
#include <cuda.h>
using namespace std;
__global__ void suma_vectores(float *c ,float *a , float *b,int N)
{
int idx=blockIdx.x * blockDim.x+ threadIdx.x;
if(idx<N)
{
... |
364a819bafb30bf048b15dff6f515c9e7efdd9a5.hip | // !!! This is a file automatically generated by hipify!!!
// ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// The MIT License (M... | 364a819bafb30bf048b15dff6f515c9e7efdd9a5.cu | // ----------------------------------------------------------------------------
// - Open3D: www.open3d.org -
// ----------------------------------------------------------------------------
// The MIT License (MIT)
//
// Copyright (c) 2018-2021 www.open3d.org
//
// Perm... |
f8c73bb59bf647c51ca09cbf1f1c91b0348cf994.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <math.h>
#include <mpi.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#ifdef PAPI
# include <papi.h>
#endif
#include "timemory-interface/interface.h"
__global__ void
MatAdd(f... | f8c73bb59bf647c51ca09cbf1f1c91b0348cf994.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include <math.h>
#include <mpi.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#ifdef PAPI
# include <papi.h>
#endif
#include "timemory-interface/interface.h"
__global__ void
MatAdd(float* A, float* B, float* C, int n, int taskperItem)
{
// Get our glo... |
35f5c829fe5bd06bde4198036a0131435884dc20.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2009, Andrew Corrigan, acorriga@gmu.edu
// This code is from the AIAA-2009-4001 paper
// #include <cutil.h>
#include <iostream>
#include <fstream>
#include "cudacommon.h"
#include "ResultDatabase.h"
#include "OptionPar... | 35f5c829fe5bd06bde4198036a0131435884dc20.cu | // Copyright 2009, Andrew Corrigan, acorriga@gmu.edu
// This code is from the AIAA-2009-4001 paper
// #include <cutil.h>
#include <iostream>
#include <fstream>
#include "cudacommon.h"
#include "ResultDatabase.h"
#include "OptionParser.h"
#define SEED 7
#if CUDART_VERSION < 3000
struct double3
{
double x, y, z;
};
... |
a557a910a3298f9f83e79f3dc36b62629948e478.hip | // !!! This is a file automatically generated by hipify!!!
// CUDA
#include "hip/hip_runtime.h"
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <stdio.h>
using namespace std;
const int N = 100;
//
const int BLOCK_data = 3;
//
const int THREAD_data = 10;
// CUDA... | a557a910a3298f9f83e79f3dc36b62629948e478.cu | // 相关 CUDA 库
#include "cuda_runtime.h"
#include "cuda.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <stdio.h>
using namespace std;
const int N = 100;
// 块数
const int BLOCK_data = 3;
// 各块中的线程数
const int THREAD_data = 10;
// CUDA初始化函数
bool InitCUDA()
{
int deviceCount;
// 获取显示设备数... |
a5bdf657355691a15c5e4ca1930a42c651ef0636.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2012-2017 VideoStitch SAS
// Copyright (c) 2018 stitchEm
#include "gpu/image/imgExtract.hpp"
#include "../deviceBuffer.hpp"
#include "../deviceStream.hpp"
#include "cuda/util.hpp"
#include <hip/hip_runtime.h>
#include <cassert>
namespace V... | a5bdf657355691a15c5e4ca1930a42c651ef0636.cu | // Copyright (c) 2012-2017 VideoStitch SAS
// Copyright (c) 2018 stitchEm
#include "gpu/image/imgExtract.hpp"
#include "../deviceBuffer.hpp"
#include "../deviceStream.hpp"
#include "cuda/util.hpp"
#include <cuda_runtime.h>
#include <cassert>
namespace VideoStitch {
namespace Image {
/**
* This kernel extract a p... |
c493e24f4caef6294b6e3f879b02fa2ddef99e29.hip | // !!! This is a file automatically generated by hipify!!!
#define TORCH_ASSERT_NO_OPERATORS
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/OpMathType.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/UnaryOps.h>
#include <ATen/native/hip/... | c493e24f4caef6294b6e3f879b02fa2ddef99e29.cu | #define TORCH_ASSERT_NO_OPERATORS
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/OpMathType.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/UnaryOps.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/native/cuda/Math.cuh>
#include <... |
0f0e89566c01df0aa3b2e21e605ac589bb4bb40e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by op2.py
//
//user function
__device__ void res_calc_gpu( const float *x1, const float *x2, const float *q1, const float *q2,
const float *adt1, const float *adt2, float *res1, float *res2... | 0f0e89566c01df0aa3b2e21e605ac589bb4bb40e.cu | //
// auto-generated by op2.py
//
//user function
__device__ void res_calc_gpu( const float *x1, const float *x2, const float *q1, const float *q2,
const float *adt1, const float *adt2, float *res1, float *res2) {
float dx,dy,mu, ri, p1,vol1, p2,vol2, f;
dx = x1[0] - x2[0];
dy = x1[1] - x2[... |
d88d80f15be1d88e0d3542f9e365d1f01372e050.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 "update_bins.cu"
#include<chrono>
#include<iostream>
using namesp... | d88d80f15be1d88e0d3542f9e365d1f01372e050.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 "update_bins.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,2... |
9e1649c8c2927a64aa5ee566de534ace8de7ed99.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stddef.h>
#include <stdint.h>
#include "ten_tusscher_2006.h"
__constant__ size_t pitch;
extern "C" SET_ODE_INITIAL_CONDITIONS_GPU(set_model_initial_conditions_gpu) {
size_t pitch_h;
log_info("Using ten Tussch... | 9e1649c8c2927a64aa5ee566de534ace8de7ed99.cu | #include <stddef.h>
#include <stdint.h>
#include "ten_tusscher_2006.h"
__constant__ size_t pitch;
extern "C" SET_ODE_INITIAL_CONDITIONS_GPU(set_model_initial_conditions_gpu) {
size_t pitch_h;
log_info("Using ten Tusscher 2006 GPU model\n");
uint32_t num_volumes = solver->original_num_cells;
// ex... |
fa62d0814fca603552a990f7f92505d0401c139f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <wb.h>
#include <iostream>
#define SEGMENT_LENGTH 256
#define BLOCK_SIZE 256
__global__ void vecAdd(float * in1, float * in2, float * out, int len) {
//@@ Insert code to implement vector addition here
int idx =... | fa62d0814fca603552a990f7f92505d0401c139f.cu | #include <wb.h>
#include <iostream>
#define SEGMENT_LENGTH 256
#define BLOCK_SIZE 256
__global__ void vecAdd(float * in1, float * in2, float * out, int len) {
//@@ Insert code to implement vector addition here
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if(idx < len){
out[idx] = in1[idx] +... |
b6a8368c6c6cd65b0ea8ce64cf3da438c0beeab2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_tools.h"
__global__
void moving_average
(
const double *input,
double *output,
const size_t width,
const uint *cols_heights,
const uint window_width
)
{
// column
uint gid = blockIdx.x * blockDim.x + th... | b6a8368c6c6cd65b0ea8ce64cf3da438c0beeab2.cu | #include "cuda_tools.h"
__global__
void moving_average
(
const double *input,
double *output,
const size_t width,
const uint *cols_heights,
const uint window_width
)
{
// column
uint gid = blockIdx.x * blockDim.x + threadIdx.x;
uint idx = gid;
if(gid >= width)
{
return;
}
uint col_height = cols_... |
7e4a59e9e93a5eb78b62e94231632394701a09bf.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <wb.h>
#define wbCheck(stmt) \
do { \
hipError_t err = stmt; ... | 7e4a59e9e93a5eb78b62e94231632394701a09bf.cu | #include <wb.h>
#define wbCheck(stmt) \
do { \
cudaError_t err = stmt; \
if (err != cudaSuccess) { ... |
371575704cc086ed010d895006efedc8e1eb09cc.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, ... | 371575704cc086ed010d895006efedc8e1eb09cc.cu | /*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and related... |
f5a471257b36f2f449de78d45584cf9ada3975da.hip | // !!! This is a file automatically generated by hipify!!!
#include <bits/stdc++.h>
#include <hip/hip_runtime.h>
#define BLOCK_SIZE 1024
using namespace std;
__global__ void sum(int *d_A, int *d_B, int *d_C, int n) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
//if(i < n*n)
d_C[i] = d_A[i] + d_B[i];
}
__... | f5a471257b36f2f449de78d45584cf9ada3975da.cu | #include <bits/stdc++.h>
#include <cuda.h>
#define BLOCK_SIZE 1024
using namespace std;
__global__ void sum(int *d_A, int *d_B, int *d_C, int n) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
//if(i < n*n)
d_C[i] = d_A[i] + d_B[i];
}
__global__ void sumR(int *d_A, int *d_B, int *d_C, int n) {
int i = bl... |
0c7990dc981fffc3eb0c024fa697ea44c4ca77cc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/** Delaunay refinement -*- CUDA -*-
* @file
* @section License
*
* Galois, a framework to exploit amorphous data-parallelism in irregular
* programs.
*
* Copyright (C) 2013, The University of Texas at Austin. All rights rese... | 0c7990dc981fffc3eb0c024fa697ea44c4ca77cc.cu | /** Delaunay refinement -*- CUDA -*-
* @file
* @section License
*
* Galois, a framework to exploit amorphous data-parallelism in irregular
* programs.
*
* Copyright (C) 2013, The University of Texas at Austin. All rights reserved.
* UNIVERSITY EXPRESSLY DISCLAIMS ANY AND ALL WARRANTIES CONCERNING THIS
* SOFTWA... |
108fa0699af63ba82a9fc55ccacde7e1e7765c7e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gradient.h"
__global__ void horizontalGradientKernel(float* image, float* grad,
int xRes, int yRes)
{
int u = (blockIdx.x * blockDim.x) + threadIdx.x;
int v = (blockIdx.y * blockDim.y) + threadIdx.y;
int i ... | 108fa0699af63ba82a9fc55ccacde7e1e7765c7e.cu | #include "gradient.h"
__global__ void horizontalGradientKernel(float* image, float* grad,
int xRes, int yRes)
{
int u = (blockIdx.x * blockDim.x) + threadIdx.x;
int v = (blockIdx.y * blockDim.y) + threadIdx.y;
int i = v * xRes + u;
if(u < xRes && v < yRes){
float diff = 0.0f;
if(u < xRes - 1 && ... |
151d06c9b08167075f14179e50c6998a5810ac76.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 "AssembleArrayOfNoticedChannels.cu"
#include<chrono>
#include<ios... | 151d06c9b08167075f14179e50c6998a5810ac76.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 "AssembleArrayOfNoticedChannels.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {... |
711713b7c1eebfcf57baa35ff993f21ded3ceb97.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <iostream>
using namespace std;
#define i_size 6//image size
#define o_size 6
#define k_size 3//kernel size
int input[i_size][i_size];
int kernel[k_size][k_size];
i... | 711713b7c1eebfcf57baa35ff993f21ded3ceb97.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <iostream>
using namespace std;
#define i_size 6//image size
#define o_size 6
#define k_size 3//kernel size
int input[i_size][i_size];
int kernel[k_size][k_size];
int output[i_size][i_size];
typedef int itype[i_size];
typedef ... |
2e7928cca0cd9f36ecbac19c16a1f602ff4d6ee3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
============================================================================
Name : nanoBraggCUDA.cu
Author :
Version :
Copyright : Your copyright notice
Description : CUDA compute reciprocals
===========... | 2e7928cca0cd9f36ecbac19c16a1f602ff4d6ee3.cu | /*
============================================================================
Name : nanoBraggCUDA.cu
Author :
Version :
Copyright : Your copyright notice
Description : CUDA compute reciprocals
============================================================================
*/
#include <iostrea... |
d2c9509bcc9540b6ccf29cc5ea82d230223192e0.hip | // !!! This is a file automatically generated by hipify!!!
// System includes
#include <stdio.h>
#include <assert.h>
#include <malloc.h>
#include <math.h>
#include <stdlib.h>
// CUDA runtime
#include <hip/hip_runtime.h>
// Helper functions and utilities to work with CUDA
#include "helper_functions.h"
#include "helper_... | d2c9509bcc9540b6ccf29cc5ea82d230223192e0.cu | // System includes
#include <stdio.h>
#include <assert.h>
#include <malloc.h>
#include <math.h>
#include <stdlib.h>
// CUDA runtime
#include <cuda_runtime.h>
// Helper functions and utilities to work with CUDA
#include "helper_functions.h"
#include "helper_cuda.h"
// setting the number of trials in the monte carlo s... |
13d7925c2938cd684abd07b388df04564b752608.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (C) 2008-2011 Yung-Yu Chen <yyc@solvcon.net>.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Fo... | 13d7925c2938cd684abd07b388df04564b752608.cu | /*
* Copyright (C) 2008-2011 Yung-Yu Chen <yyc@solvcon.net>.
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
... |
41b3eb7ed7d78d716d8fcb9dccde17f8567e6599.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//first cuda program
//Hitender Prakash
#include <stdio.h>
//define gpu kernel
__global__ void square(double *d_out, double *d_in){
int pos=threadIdx.x;
d_out[pos]=d_in[pos]*d_in[pos];
}
int main(int argc, char **argv){
if(ar... | 41b3eb7ed7d78d716d8fcb9dccde17f8567e6599.cu | //first cuda program
//Hitender Prakash
#include <stdio.h>
//define gpu kernel
__global__ void square(double *d_out, double *d_in){
int pos=threadIdx.x;
d_out[pos]=d_in[pos]*d_in[pos];
}
int main(int argc, char **argv){
if(argc <2 ||argc >2){
printf("\nUsage: sqaure <size of array>");
exit(0);
}
int siz=a... |
2e887c7f1284d43289fb5b3ff020ded6e661856f.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 2011-2017 Maxim Milakov
*
* 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/lic... | 2e887c7f1284d43289fb5b3ff020ded6e661856f.cu | /*
* Copyright 2011-2017 Maxim Milakov
*
* 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 ... |
b7c8da4cef33cdf51f568703e69f866393813fa4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#pragma once
#include "gMF_bf_grid_engine.h"
#include "gMF_bf_grid_engine_kernel.h"
#include <fstream>
using namespace std;
using namespace gMF;
gMF::bf_grid_engine::bf_grid_engine(Vector2i size_xy, Vector3i size_rgb, float sigm... | b7c8da4cef33cdf51f568703e69f866393813fa4.cu | #pragma once
#include "gMF_bf_grid_engine.h"
#include "gMF_bf_grid_engine_kernel.h"
#include <fstream>
using namespace std;
using namespace gMF;
gMF::bf_grid_engine::bf_grid_engine(Vector2i size_xy, Vector3i size_rgb, float sigma_xy, float sigma_rgb, int dim)
{
bgrid = new bf_grid(size_xy, size_rgb, sigma_xy, sigm... |
5907b64025bb76a97bccb29df727363031ad3720.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... | 5907b64025bb76a97bccb29df727363031ad3720.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... |
c0e2a40cda019ffa5fe07a687c3fe7198128d551.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <vector>
#include "caffe/filler.hpp"
#include "caffe/layers/bias_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void BiasForward(const int n, const Dtype* in,
... | c0e2a40cda019ffa5fe07a687c3fe7198128d551.cu | #include <vector>
#include "caffe/filler.hpp"
#include "caffe/layers/bias_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void BiasForward(const int n, const Dtype* in,
const Dtype* bias, const int bias_dim, const int inner_dim,
Dtype* out)
{
CUDA... |
e52dc14cecafe54abf35e144f2b4672943aac227.hip | // !!! This is a file automatically generated by hipify!!!
#include "cupoch/visualization/shader/texture_phong_shader.h"
#include "cupoch/geometry/image.h"
#include "cupoch/geometry/pointcloud.h"
#include "cupoch/geometry/trianglemesh.h"
#include "cupoch/visualization/shader/shader.h"
#include "cupoch/visualization/ut... | e52dc14cecafe54abf35e144f2b4672943aac227.cu | #include "cupoch/visualization/shader/texture_phong_shader.h"
#include "cupoch/geometry/image.h"
#include "cupoch/geometry/pointcloud.h"
#include "cupoch/geometry/trianglemesh.h"
#include "cupoch/visualization/shader/shader.h"
#include "cupoch/visualization/utility/color_map.h"
#include "cupoch/utility/console.h"
#inc... |
6a29f8ae2348f242632ecb7af3d2ecbd06cfa7e1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Created by ameen on 07/05/20.
//
#include "sql_delete.cuh"
#define NUM_THREADS 512
__global__ void
deleteKernel(void *data, int rowSize, int *offset, int offsetSize, ColType *types, myExpr *exprs, int numRows, bool *flag_d)... | 6a29f8ae2348f242632ecb7af3d2ecbd06cfa7e1.cu | //
// Created by ameen on 07/05/20.
//
#include "sql_delete.cuh"
#define NUM_THREADS 512
__global__ void
deleteKernel(void *data, int rowSize, int *offset, int offsetSize, ColType *types, myExpr *exprs, int numRows, bool *flag_d) {
void *res;
int resType = 1;
int rowsPerBlock = (numRows + NUM_THREADS - 1... |
dfa206dfe184cb07c98dc7861765f867a9a976b5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <fstream>
#include <iostream>
#include <cutil_inline.h>
#include <shrQATest.h>
#include "Timer.h"
using namespace std;
const double sqrt_2 = 1.4142135;
__global__ void haar_horizontal(float input[], float output [], int... | dfa206dfe184cb07c98dc7861765f867a9a976b5.cu | #include <fstream>
#include <iostream>
#include <cutil_inline.h>
#include <shrQATest.h>
#include "Timer.h"
using namespace std;
const double sqrt_2 = 1.4142135;
__global__ void haar_horizontal(float input[], float output [], int o_width, int w)
{
int x_index = blockIdx.x*blockDim.x+threadIdx.x;
int y_index = bl... |
d531012593fd1b0dddb73b9e02479f3857c8b267.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define CUDA_ERROR_CHECK
#define CudaSafeCall( err ) __cudaSafeCall( err, __FILE__, __LINE__ )
#define CudaCheckError() __cudaCheckError( __FILE__, __LINE__ )
inline void __cudaSafeCall(hipError_t err, const char *file, const i... | d531012593fd1b0dddb73b9e02479f3857c8b267.cu | #define CUDA_ERROR_CHECK
#define CudaSafeCall( err ) __cudaSafeCall( err, __FILE__, __LINE__ )
#define CudaCheckError() __cudaCheckError( __FILE__, __LINE__ )
inline void __cudaSafeCall(cudaError err, const char *file, const int line)
{
#ifdef CUDA_ERROR_CHECK
if (cudaSuccess != err)
{
fprintf(stderr, "cud... |
772bdf481ecb7d1bd25807fb6718cae512600071.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
@generated from sparse/blas/zjacobisetup.cu, normal z -... | 772bdf481ecb7d1bd25807fb6718cae512600071.cu | /*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
@generated from sparse/blas/zjacobisetup.cu, normal z -> d, Sun Nov 20 20:20:40 2016
@author Hartwig Anzt
*/
#include "magmasparse_inte... |
85f2c2da890f6a78c319033a54a11ee76d65c85a.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include <stdio.h>
#include <cstring> // needed for memset
#include <tune_quda.h>
#include <typeinfo>
#include <quda_internal.h>
#include <float_vector.h>
#include <blas_quda.h>
#include <color_spinor_field.h>
#include <color_spinor_fie... | 85f2c2da890f6a78c319033a54a11ee76d65c85a.cu |
#include <stdlib.h>
#include <stdio.h>
#include <cstring> // needed for memset
#include <tune_quda.h>
#include <typeinfo>
#include <quda_internal.h>
#include <float_vector.h>
#include <blas_quda.h>
#include <color_spinor_field.h>
#include <color_spinor_field_order.h>
#define checkSpinor(a, b) \
{ \... |
df4f3f041c2ab5d2a5c6ef2cc51111ba9f8bb8b4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <list>
#include <algorithm>
#include <iostream>
#include <cstdlib>
#include <chrono>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/copy.h>
#include <thrust/fill.h>
#include <thrust/seq... | df4f3f041c2ab5d2a5c6ef2cc51111ba9f8bb8b4.cu | #include <list>
#include <algorithm>
#include <iostream>
#include <cstdlib>
#include <chrono>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/copy.h>
#include <thrust/fill.h>
#include <thrust/sequence.h>
using namespace std;
using namespace std::chrono;
#define SQUARE_SIDE_SIZE 8... |
7fe4b1e3ed99ac1261bb80f9e775bca901aa2d76.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#define threshold 5 //(50% probability)
#define block_size 256
__global__ void second_calculation (char* dev_a,
char* dev_b,
... | 7fe4b1e3ed99ac1261bb80f9e775bca901aa2d76.cu | #include <stdio.h>
#include <stdlib.h>
#include <omp.h>
#define threshold 5 //(50% probability)
#define block_size 256
__global__ void second_calculation (char* dev_a,
char* dev_b,
char* dev_c,
int matrix_size,... |
57eb5fe31ecb0e7fa24e37d24f8848362b36f85f.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include <stdio.h>
#include <hip/hip_runtime.h>
// allocate memory on gpu
extern "C++" void cu_safe_falloc(float **g_f, size_t n_elem) {
void *gptr;
hipError_t crc = hipMalloc(&gptr, n_elem*sizeof(float));
if(crc) {
prin... | 57eb5fe31ecb0e7fa24e37d24f8848362b36f85f.cu | #include <stdlib.h>
#include <stdio.h>
#include <cuda.h>
// allocate memory on gpu
extern "C++" void cu_safe_falloc(float **g_f, size_t n_elem) {
void *gptr;
cudaError_t crc = cudaMalloc(&gptr, n_elem*sizeof(float));
if(crc) {
printf("cudaMalloc Error=%d:%s\n", crc, cudaGetErrorString(crc));
... |
15398cf771403cb248290761cd0908b0dfec0c0e.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
using namespace std;
#include <Task.hpp>
#include <GridData.hpp>
#include <CudaDirectSolver.hpp>
#include <ReverseSolver.hpp>
#include <SLESolver.hpp>
#include <rocblas.h>
#include <Matrix.hpp>
#include <FinalSolver.hpp>
void TaskOn1000()
{... | 15398cf771403cb248290761cd0908b0dfec0c0e.cu | #include <iostream>
using namespace std;
#include <Task.hpp>
#include <GridData.hpp>
#include <CudaDirectSolver.hpp>
#include <ReverseSolver.hpp>
#include <SLESolver.hpp>
#include <cublas.h>
#include <Matrix.hpp>
#include <FinalSolver.hpp>
void TaskOn1000()
{
GridData layer1(string("D:\\Workspace\\Science\\grids\\ma... |
7d41a7177dc9cf6bc1e3972f11e7008addd89505.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019, 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/li... | 7d41a7177dc9cf6bc1e3972f11e7008addd89505.cu | /*
* Copyright (c) 2019, 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 law ... |
f9fc312425a32163b66ed965273183b448138706.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
#include <vector>
#include <string>
#include <thrust/device_vector.h>
#include <cupti_profiler.h>
template<typename T>
__global__ void kernel(T begin, int size) {
const int thread_id = blockIdx.x * blockDim.x +... | f9fc312425a32163b66ed965273183b448138706.cu | #include <cstdio>
#include <vector>
#include <string>
#include <thrust/device_vector.h>
#include <cupti_profiler.h>
template<typename T>
__global__ void kernel(T begin, int size) {
const int thread_id = blockIdx.x * blockDim.x + threadIdx.x;
if(thread_id < size)
*(begin + thread_id) += 1;
}
template<typename... |
353ea7d035550a02d192a81f0a72c745b89daa28.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Copyright (c) 2019-2021 ETH Zurich, Automatic Control Lab,
* Michel Schubiger, Goran Banjac.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with th... | 353ea7d035550a02d192a81f0a72c745b89daa28.cu | /**
* Copyright (c) 2019-2021 ETH Zurich, Automatic Control Lab,
* Michel Schubiger, Goran Banjac.
*
* 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/... |
b44b3344bb63f6ef6831bd3ae44e3990bbe39212.hip | // !!! This is a file automatically generated by hipify!!!
// aux.cu
// Implementation file for the matrix-free product between a Jacobian matrix
// and a vector
#include <lmnslsqr/aux.h>
#include <hip/hip_runtime.h>
#include <rocblas.h>
#include <stdio.h>
#include <lmnslsqr/kernel.h>
#include <lmnslsqr/error.h>
stat... | b44b3344bb63f6ef6831bd3ae44e3990bbe39212.cu | // aux.cu
// Implementation file for the matrix-free product between a Jacobian matrix
// and a vector
#include <lmnslsqr/aux.h>
#include <cuda_runtime.h>
#include <cublas_v2.h>
#include <stdio.h>
#include <lmnslsqr/kernel.h>
#include <lmnslsqr/error.h>
static double *dev_xp=NULL, *dev_xm=NULL, *dev_fp=NULL, *dev_fm=... |
0f24d9334a83b44fdf2114a1bccf3458f3768999.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
__global__ void helloKernel ()
{
printf ("Hello from the GPU!\n");
}
int
main ()
{
printf ("Hello from the CPU\n");
hipLaunchKernelGGL(( helloKernel) , dim3(1), dim3(1) , 0, 0, );
hipDeviceSynchronize (... | 0f24d9334a83b44fdf2114a1bccf3458f3768999.cu | #include <stdio.h>
#include <cuda.h>
__global__ void helloKernel ()
{
printf ("Hello from the GPU!\n");
}
int
main ()
{
printf ("Hello from the CPU\n");
helloKernel <<< 1, 1 >>> ();
cudaDeviceSynchronize ();
return 0;
}
|
a81b1417900b40621dffadbb5e42dc08e3c4b461.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include"./config.cuh"
#include<iostream>
using namespace std;
void __global__ test(int* outdata) {
int idx = threadIdx.x;
outdata[idx] = __shfl_xor(idx, 2);
}
int main() {
MODEL_(one_arg) model{32,1};// one wrap
int *out,an... | a81b1417900b40621dffadbb5e42dc08e3c4b461.cu | #include"./config.cuh"
#include<iostream>
using namespace std;
void __global__ test(int* outdata) {
int idx = threadIdx.x;
outdata[idx] = __shfl_xor(idx, 2);
}
int main() {
MODEL_(one_arg) model{32,1};// one wrap
int *out,ans[32];
model(test,&out, 32);
cudaMemcpy(ans, out,sizeof(int)*32, cudaMemcpyDeviceToH... |
2c9a259157c464043dac328163670495520d0c15.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include <iostream>
#include <ctype.h>
#include <hip/hip_runtime.h>
#include <math.h>
#define CEIL(a,b) ((a+b-1)/... | 2c9a259157c464043dac328163670495520d0c15.cu | #include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include <iostream>
#include <ctype.h>
#include <cuda.h>
#include <math.h>
#define CEIL(a,b) ((a+b-1)/b)
#define SWAP(a,b,t) t=b; b=a; a=t;
#define DATAMB(bytes) (bytes/102... |
43ffc2762bad9883dd1a2143c114e63d2ae9aed8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2009-2014 The Regents of
the University of Michigan All rights reserved.
HOOMD-blue may contain modifica... | 43ffc2762bad9883dd1a2143c114e63d2ae9aed8.cu | /*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2009-2014 The Regents of
the University of Michigan All rights reserved.
HOOMD-blue may contain modifications ("Contributions") provided, and to which
copyright is held, by various Contributor... |
3f5d80f11162771b9bca9276d3203992a84a9ddc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_kernels.hpp"
__global__ void restore_kernel(uchar* ret, const float* Yst, const float* mask,
const uchar* Xt, const float* trans,
const int H, const int W, const int h, const int w) {
int tid = th... | 3f5d80f11162771b9bca9276d3203992a84a9ddc.cu | #include "cuda_kernels.hpp"
__global__ void restore_kernel(uchar* ret, const float* Yst, const float* mask,
const uchar* Xt, const float* trans,
const int H, const int W, const int h, const int w) {
int tid = threadIdx.x + blockIdx.x*blockDim.x;
int offset = blockDim.x * gridDim.x;
while (t... |
ac2e03d4518ad6c1cc5ce0ae141acafdd8e419a1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ static void update_e(int objs,double* e,double* kval,double b_old,double b_new,int i,int j,int yi,int yj,double ai_old,double ai_new,double aj_old,double aj_new){
int id=blockDim.x * blockIdx.x + thr... | ac2e03d4518ad6c1cc5ce0ae141acafdd8e419a1.cu | #include "includes.h"
__global__ static void update_e(int objs,double* e,double* kval,double b_old,double b_new,int i,int j,int yi,int yj,double ai_old,double ai_new,double aj_old,double aj_new){
int id=blockDim.x * blockIdx.x + threadIdx.x;
if (id<objs){
double val=e[id];
val+=(b_new-b_old);
double ti=yi*kval[i*objs+i... |
6f275f6c0da44f99a1a398cd48e418f986ec5adb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <assert.h>
#include <iostream>
#include <fstream>
#include <time.h>
#include <thrust/device_vector.h>
#include <math.h>
#define BLOCK_SIZE 16
#define TILE_DIM 16
__global__ void MV(i... | 6f275f6c0da44f99a1a398cd48e418f986ec5adb.cu | #include <stdio.h>
#include <stdlib.h>
#include <assert.h>
#include <iostream>
#include <fstream>
#include <time.h>
#include <thrust/device_vector.h>
#include <math.h>
#define BLOCK_SIZE 16
#define TILE_DIM 16
__global__ void MV(int* A, int* B, int* C, int ARows, int ACols, int BRows,
int BCols, int CRows, int CC... |
f3112a404286f7f494cafb48838897c252ee888f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define __CUDA
#include <cstdio>
// #include <iostream>
//#include <cutil.h>
#include <helper_cuda.h>
/*
#include <helper_cuda_drvapi.h>
#include <helper_cuda_gl.h>
#include <helper_functions.h>
#include <helper_image.h>
#include ... | f3112a404286f7f494cafb48838897c252ee888f.cu | #define __CUDA
#include <cstdio>
// #include <iostream>
//#include <cutil.h>
#include <helper_cuda.h>
/*
#include <helper_cuda_drvapi.h>
#include <helper_cuda_gl.h>
#include <helper_functions.h>
#include <helper_image.h>
#include <helper_math.h>
#include <helper_string.h>
#include <helper_timer.h>
*/
#include "hermi... |
2245e5ece8b60b28bcab5b344d9cac90e77407df.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2012
@generated c Wed Nov 14 22:53:47 2012
*/
#include "common_ma... | 2245e5ece8b60b28bcab5b344d9cac90e77407df.cu | /*
-- MAGMA (version 1.3.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
November 2012
@generated c Wed Nov 14 22:53:47 2012
*/
#include "common_magma.h"
// 512 is maximum number of threads for CUDA capability 1.x
#define BLOCK_SIZE 5... |
615dd544bfb39dae530cd504e8697b9e0be89868.hip | // !!! This is a file automatically generated by hipify!!!
#include "thrust\host_vector.h"
#include "thrust\device_vector.h"
#include <thrust/count.h>
#include <thrust/reduce.h>
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "hip/hip_runtime.h"
#include <time.h>
#include <stdio.h>
#i... | 615dd544bfb39dae530cd504e8697b9e0be89868.cu |
#include "thrust\host_vector.h"
#include "thrust\device_vector.h"
#include <thrust/count.h>
#include <thrust/reduce.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "cuda_runtime.h"
#include <time.h>
#include <stdio.h>
#include <fstream>
#include <iostream>
#include <algorithm>
using ... |
c7cb14c49186f2506cd4cc3360c897e310eb65b9.hip | // !!! This is a file automatically generated by hipify!!!
/*
*
* pageableMemcpyHtoDSynchronous.cu
*
* Microdemo that illustrates how necessary CPU/GPU concurrency
* is for a good-performance pageable memcpy. Identical to
* pageableMemcpyHtoD.cu except the event synchronize is in a
* place that breaks concurren... | c7cb14c49186f2506cd4cc3360c897e310eb65b9.cu | /*
*
* pageableMemcpyHtoDSynchronous.cu
*
* Microdemo that illustrates how necessary CPU/GPU concurrency
* is for a good-performance pageable memcpy. Identical to
* pageableMemcpyHtoD.cu except the event synchronize is in a
* place that breaks concurrency between the CPU and GPU.
*
* A pair of pinned staging ... |
54ca0c811c384820860ca232f6ac426b87058b51.hip | // !!! This is a file automatically generated by hipify!!!
#include "grid.h"
#include "solver_cuda.h"
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
static void fail(char const *message);
__global__ void red_black_ordering(float *d_grid, int grid_row, int value, float *d_diff1);
void Solver_cuda::simulate_... | 54ca0c811c384820860ca232f6ac426b87058b51.cu | #include "grid.h"
#include "solver_cuda.h"
#include <cuda.h>
#include <cuda_runtime.h>
static void fail(char const *message);
__global__ void red_black_ordering(float *d_grid, int grid_row, int value, float *d_diff1);
void Solver_cuda::simulate_eqn_solver(){
int done = 0;
float diff = 0.0;
struct timeval start_tim... |
45ad2e49f9e9160ef7e989030db5cb2c8610cacc.hip | // !!! This is a file automatically generated by hipify!!!
/*
Copyright 2020 The OneFlow Authors. 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/lice... | 45ad2e49f9e9160ef7e989030db5cb2c8610cacc.cu | /*
Copyright 2020 The OneFlow Authors. 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 by applicable law or agre... |
1ae3d5abcbe51c76ef8490d48305136c7f12dea1.hip | // !!! This is a file automatically generated by hipify!!!
#if !MEGDNN_TEGRA_X1
// generated by gen_cuda_conv_bias_kern_impls.py
// ignore warning of cutlass
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "src/cuda/conv_bias/in... | 1ae3d5abcbe51c76ef8490d48305136c7f12dea1.cu | #if !MEGDNN_TEGRA_X1
// generated by gen_cuda_conv_bias_kern_impls.py
// ignore warning of cutlass
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "src/cuda/conv_bias/int8/conv_bias_int8_implicit_gemm_cutlass_wrapper.cuinl"
usi... |
f450e522e1850d589f4f472d80f5e2fab8a912e8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <Python.h>
#include <iostream>
#include "theano_mod_helper.h"
#include "cuda_ndarray.cuh"
//////////////////////
//// Support Code
//////////////////////
#define INTDIV_POW2(a, b) (a >> b)
#define INTMOD_POW2(a, b) (a & ... | f450e522e1850d589f4f472d80f5e2fab8a912e8.cu | #include <Python.h>
#include <iostream>
#include "theano_mod_helper.h"
#include "cuda_ndarray.cuh"
//////////////////////
//// Support Code
//////////////////////
#define INTDIV_POW2(a, b) (a >> b)
#define INTMOD_POW2(a, b) (a & ((1<<b)-1))
// GpuElemwise{Composite{((i0 + i1) + i2)}}[(0, 0)]
// node.op.destr... |
41063862d49714755344907c16537f82b6b42f35.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<stdio.h>
#include<cuda.h>
struct Index{
int block, thread;
};
__global__ void prob_idx(Index id[]){
int b_idx = blockIdx.x;
int t_idx = threadIdx.x;
int b_dim = blockDim.x; ... | 41063862d49714755344907c16537f82b6b42f35.cu | #include<stdio.h>
#include<cuda.h>
struct Index{
int block, thread;
};
__global__ void prob_idx(Index id[]){
int b_idx = blockIdx.x;
int t_idx = threadIdx.x;
int b_dim = blockDim.x;
int position = b_idx * b_dim + t_idx;
id[positi... |
bd566cf48f0975ef0a33721de1b9766fec40d4d5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layers/pooling_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void MaxPoolForward(const int nthr... | bd566cf48f0975ef0a33721de1b9766fec40d4d5.cu | #include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layers/pooling_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void MaxPoolForward(const int nthreads,
const Dtype* const bottom_data, const int num, const int channels,
const i... |
f81a2b47e71fabfab8690d2c40b8b97f4b7d25ca.hip | // !!! This is a file automatically generated by hipify!!!
/**
* CUDA C/C++ implementation for Accelerating Graph Betweenness Centrality for Sparse Graphs
*
* @author Ashwin Joisa
* @author Praveen Gupta
**/
//=============================================================================================//
// Inc... | f81a2b47e71fabfab8690d2c40b8b97f4b7d25ca.cu | /**
* CUDA C/C++ implementation for Accelerating Graph Betweenness Centrality for Sparse Graphs
*
* @author Ashwin Joisa
* @author Praveen Gupta
**/
//=============================================================================================//
// Include header files
#include <iostream>
#include <cuda.h>
//... |
1c9ad39bbdeb6fae3a0206a5a7af2fd42cf62638.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <chrono>
#include <type_traits>
#include <hip/hip_runtime.h>
#include <thrust/tuple.h>
#include "utils.h"
template <typename T>
__global__
void RowwiseMomentsKernel(
int64_t N,
T eps,
... | 1c9ad39bbdeb6fae3a0206a5a7af2fd42cf62638.cu | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <chrono>
#include <type_traits>
#include <cuda.h>
#include <thrust/tuple.h>
#include "utils.h"
template <typename T>
__global__
void RowwiseMomentsKernel(
int64_t N,
T eps,
const T* X,
T* mean,
T* rstd)
{
using T_ACC = T;
usin... |
ca185f1990f6096d879c95ae9baaefa32035e361.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Homework 1
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color is
//specified by how much Red, Grean and Blue is in it. The 'A' stands for Alpha
//and is used for transparency,... | ca185f1990f6096d879c95ae9baaefa32035e361.cu | // Homework 1
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color is
//specified by how much Red, Grean and Blue is in it. The 'A' stands for Alpha
//and is used for transparency, it will be ignored in this homework.
//Each channel Red, Blue, Green and Alpha is repr... |
a14b5fd7da94ba8ba2c2f21b07367a7840a820b3.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright 2019,2020,2021 Sony Corporation.
// Copyright 2021 Sony Group 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 Lic... | a14b5fd7da94ba8ba2c2f21b07367a7840a820b3.cu | // Copyright 2019,2020,2021 Sony Corporation.
// Copyright 2021 Sony Group 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.... |
8749e8768ed0661da0120506d4a04d803d538e38.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Udacity Homework 3
HDR Tone-mapping
Background HDR
==============
A High Dynamic Range (HDR) image contains a wider variation of intensity
and color than is allowed by the RGB format with 1 byte per channel that we
... | 8749e8768ed0661da0120506d4a04d803d538e38.cu | /* Udacity Homework 3
HDR Tone-mapping
Background HDR
==============
A High Dynamic Range (HDR) image contains a wider variation of intensity
and color than is allowed by the RGB format with 1 byte per channel that we
have used in the previous assignment.
To store this extra information we use singl... |
0951d23c5b1ecec14b7b8d3988f2ad2b7800913a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "clustertree.h"
#ifndef __linux__
#include <iso646.h>
#include <helpers/ImageDisplay.h>
#endif
#include <thrust/reduce.h>
#include <thrust/device_ptr.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#inc... | 0951d23c5b1ecec14b7b8d3988f2ad2b7800913a.cu | #include "clustertree.h"
#ifndef __linux__
#include <iso646.h>
#include <helpers/ImageDisplay.h>
#endif
#include <thrust/reduce.h>
#include <thrust/device_ptr.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/copy.h>
#include <algorithm>
#ifdef _DEBUG
ImageDisplay::ImageDisplay Disp... |
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