hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
626266dd36f3cb855c4e896ed9cb27a1f763ab24.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <math.h>
#include <time.h>
#include "hip/hip_fp16.h"
#define L1_SIZE 65536
#define FP_TYPE float
#define FP_DEV_TYPE float
/* Kernel for vector addition */
__globa... | 626266dd36f3cb855c4e896ed9cb27a1f763ab24.cu | #include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <math.h>
#include <time.h>
#include "cuda_fp16.h"
#define L1_SIZE 65536
#define FP_TYPE float
#define FP_DEV_TYPE float
/* Kernel for vector addition */
__global__ void Vec_add(FP_DEV_TYPE x[], FP_DEV_TYPE y[], FP_DEV_TYPE z[], int n, FP_DEV_TYPE loo... |
4303acc9b2776fe326121de12285f1793f6d6753.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void kernel_mul(char* newB, char* first, char* second, int size_first, int size_second, int * size_newB) {
int i = threadIdx.x;
int j = threadIdx.y;
int tid = j * gridDim.x * blockDim.x + i ;
if(... | 4303acc9b2776fe326121de12285f1793f6d6753.cu | #include "includes.h"
__global__ void kernel_mul(char* newB, char* first, char* second, int size_first, int size_second, int * size_newB) {
int i = threadIdx.x;
int j = threadIdx.y;
int tid = j * gridDim.x * blockDim.x + i ;
if(j!=0 && i!=0){
newB[tid] = first[i] * second[j];
}
if(j==0 && i==0){
if(first[j] != sec... |
9f51ddc722a3be6b38e5cfa58f42e02ae68e34f4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<math.h>
#include<stdio.h>
#include "CUDA.h"
#include "Random.h"
#include "mycomplex.h"
#include "model.h"
using namespace std;
/* ----------------------------------------*/
/**************************/
double *yzero;
__de... | 9f51ddc722a3be6b38e5cfa58f42e02ae68e34f4.cu | #include<math.h>
#include<stdio.h>
#include "CUDA.h"
#include "Random.h"
#include "mycomplex.h"
#include "model.h"
using namespace std;
/* ----------------------------------------*/
/**************************/
double *yzero;
__device__ double const tau=1.;
__device__ double const one_over_tau=1./tau;
double const in... |
eeaca9ff123fb50e5299718bf17f908c1a0f23a7.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 "shMatMul_Kernel.cu"
#include<chrono>
#include<iostream>
using na... | eeaca9ff123fb50e5299718bf17f908c1a0f23a7.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 "shMatMul_Kernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{... |
c37b3240a7fc9698530ce64f9f2f48bdb90c3dad.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdio>
#include <hip/hip_runtime.h>
#include <cmath>
#include <thrust/execution_policy.h>
#include <thrust/device_vector.h>
#include <thrust/random.h>
#include <thrust/remove.h>
#include <thrust/partition.h>
#include <thrust/execution_policy.h>
#inc... | c37b3240a7fc9698530ce64f9f2f48bdb90c3dad.cu | #include <cstdio>
#include <cuda.h>
#include <cmath>
#include <thrust/execution_policy.h>
#include <thrust/device_vector.h>
#include <thrust/random.h>
#include <thrust/remove.h>
#include <thrust/partition.h>
#include <thrust/execution_policy.h>
#include "sceneStructs.h"
#include "scene.h"
#include "glm/glm.hpp"
#inclu... |
305b69850ee68dfaa5a652ba3473fa227ee6f792.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layers/focal_loss_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void LogOpGPU(const int nthrea... | 305b69850ee68dfaa5a652ba3473fa227ee6f792.cu | #include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layers/focal_loss_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void LogOpGPU(const int nthreads,
const Dtype* in, Dtype* out, const Dtype eps)
{
CUDA_KERNEL_LOOP(index, ... |
e9774c195f3fdac10baf999af1d4b303c16ed27b.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, ... | e9774c195f3fdac10baf999af1d4b303c16ed27b.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... |
a0b5a0cf93ad5d9929c080b7bfcbe8ebea9600f3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* 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 soft... | a0b5a0cf93ad5d9929c080b7bfcbe8ebea9600f3.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... |
83e6a3a3a4878b4f4e80af7f2e70a07cd8aad856.hip | // !!! This is a file automatically generated by hipify!!!
/* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must ... | 83e6a3a3a4878b4f4e80af7f2e70a07cd8aad856.cu | /* Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of condi... |
ed605410d3fb38acad4c615aa4f855bd2058800b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdlib.h>
#include <stdio.h>
#include <sys/time.h>
#include <iostream>
#include <string>
//===> FINITE DIFFERENCES PARAMETERS <===//
#define DT 0.05f //->Time in milliseconds
#define DX ( 12.0f / MODEL... | ed605410d3fb38acad4c615aa4f855bd2058800b.cu | #include <stdlib.h>
#include <stdio.h>
#include <sys/time.h>
#include <iostream>
#include <string>
//===> FINITE DIFFERENCES PARAMETERS <===//
#define DT 0.05f //->Time in milliseconds
#define DX ( 12.0f / MODELSIZE_X ) //->Displacement in x
#define DY ( 12.0f / MODELSIZE_Y ) //->Displacement in y
... |
6f17adde5485d766e034936cd01a3b8720ca7fb5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hiprand/hiprand.h"
#include "rocblas.h"
#include <iostream>
#ifdef __cplusplus
extern "C" {
#endif
#include <float.h>
#include <stdio.h>
#include "highway_lstm_kernel.h"
#define BLOCK 256
// Define some error checking ... | 6f17adde5485d766e034936cd01a3b8720ca7fb5.cu | #include "cuda_runtime.h"
#include "curand.h"
#include "cublas_v2.h"
#include <iostream>
#ifdef __cplusplus
extern "C" {
#endif
#include <float.h>
#include <stdio.h>
#include "highway_lstm_kernel.h"
#define BLOCK 256
// Define some error checking macros.
#define cudaErrCheck(stat) { cudaErrCheck_((stat), __FILE__, ... |
c984e91dfd0251e42e2b9d39b93c9668e3b3bdf3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/native/TensorAdvancedIndexing.h>
#include <ATen/ATen.h>
#include <ATen/Dispatch.h>
#include <ATen/MemoryOverlap.h>
#include <ATen/native/ScatterGatherChecks.h>
#include <ATen/native/ReduceOpsUtils.h>
#include <ATen/... | c984e91dfd0251e42e2b9d39b93c9668e3b3bdf3.cu | #include <ATen/native/TensorAdvancedIndexing.h>
#include <ATen/ATen.h>
#include <ATen/Dispatch.h>
#include <ATen/MemoryOverlap.h>
#include <ATen/native/ScatterGatherChecks.h>
#include <ATen/native/ReduceOpsUtils.h>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/cuda/deta... |
91694208f1ff3ad23da5f81de20b1796e5755e14.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@precisions normal z -> c d s
@author Hartwig Anz... | 91694208f1ff3ad23da5f81de20b1796e5755e14.cu | /*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@precisions normal z -> c d s
@author Hartwig Anzt
*/
#include "magmasparse_internal.h"
#define BLOCK_SIZE 512
#define PRECISION_z
/... |
07f47142e9843752e35975ad50522ee898004a37.hip | // !!! This is a file automatically generated by hipify!!!
/**********************************************************************
* Software License Agreement (BSD License)
*
* Copyright 2011 Andreas Muetzel (amuetzel@uni-koblenz.de). All rights reserved.
*
* THE BSD LICENSE
*
* Redistribution and use in ... | 07f47142e9843752e35975ad50522ee898004a37.cu | /**********************************************************************
* Software License Agreement (BSD License)
*
* Copyright 2011 Andreas Muetzel (amuetzel@uni-koblenz.de). All rights reserved.
*
* THE BSD LICENSE
*
* Redistribution and use in source and binary forms, with or without
* modification, a... |
1ff58d1f008d7764953b534b0c4be97c72dc2ee8.hip | // !!! This is a file automatically generated by hipify!!!
/*
Copyright (c) 2015-present Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without r... | 1ff58d1f008d7764953b534b0c4be97c72dc2ee8.cu | /*
Copyright (c) 2015-present Advanced Micro Devices, Inc. All rights reserved.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use,... |
5180fc81101ca9834d1decd289cb57ad8ec3450b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* 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 soft... | 5180fc81101ca9834d1decd289cb57ad8ec3450b.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... |
54f9303236580571efcba751695b6340bc21975a.hip | // !!! This is a file automatically generated by hipify!!!
/*-------------------------------------------------------------------------
*
* CUDA function for backrpojection using FDK weigts for CBCT
*
*
* CODE by Ander Biguri
* Optimized and modified by RB
* ---------------------------------------------... | 54f9303236580571efcba751695b6340bc21975a.cu | /*-------------------------------------------------------------------------
*
* CUDA function for backrpojection using FDK weigts for CBCT
*
*
* CODE by Ander Biguri
* Optimized and modified by RB
* ---------------------------------------------------------------------------
* -------------------------... |
29bfb72a8d3dba866d2ccf64c4e542b14095f6da.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <iostream>
#include <hip/hip_runtime_api.h>
//#include <cutil.h>
#include <hip/hip_runtime.h>
#include <string>
#define GPUJOULE_DIR ""
#define SHARED_MEM_ELEMENTS 1024
#define GLOBAL_MEM_ELEMENTS 19660800
int num_blocks;
int num_... | 29bfb72a8d3dba866d2ccf64c4e542b14095f6da.cu | #include <stdio.h>
#include <iostream>
#include <cuda_profiler_api.h>
//#include <cutil.h>
#include <cuda_runtime.h>
#include <string>
#define GPUJOULE_DIR ""
#define SHARED_MEM_ELEMENTS 1024
#define GLOBAL_MEM_ELEMENTS 19660800
int num_blocks;
int num_threads_per_block;
int num_iterations;
int divergence;
float* h... |
fea2710ffd5caab47482ccc4fcac7c8fd6300fb0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Example Matlab cuda kernel interface.
*/
__device__
void pointSource(double rVar, double r1, double r2, double wPerf, double cblood, double kCond, double mueff, double u0, double ua, double Power, double *temperature )
{
... | fea2710ffd5caab47482ccc4fcac7c8fd6300fb0.cu | /*
* Example Matlab cuda kernel interface.
*/
__device__
void pointSource(double rVar, double r1, double r2, double wPerf, double cblood, double kCond, double mueff, double u0, double ua, double Power, double *temperature )
{
double pi = 3.141592653589793;
//*temperature =ua-(exp(-mueff*rVar)*powf(mueff,2)*Pow... |
c33bf5cf7f6acb4eae28531f69d1920e65ea2a9f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef __CUDACC_RTC__
#include "../Include/objects_list.h"
#include "../Include/cuda_defines.cuh"
#else
#define CREATE_OBJECT_TYPE_DESCRIPTION(__TYPE__,__STRUCT__) \
class __TYPE__ { ... | c33bf5cf7f6acb4eae28531f69d1920e65ea2a9f.cu | #ifndef __CUDACC_RTC__
#include "../Include/objects_list.h"
#include "../Include/cuda_defines.cuh"
#else
#define CREATE_OBJECT_TYPE_DESCRIPTION(__TYPE__,__STRUCT__) \
class __TYPE__ { \
protecte... |
f912d8985a476811e8f7dc25c39fd9733c554047.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Copyright 2012 The Trustees of Indiana University. All rights reserved.
CGL MapReduce Framework on GPUs and CPUs
Code Name: Panda
File: PandaUtils.cu
First Version: 2012-07-01 V0.1
Current Version: 2012-09-01 V0.3... | f912d8985a476811e8f7dc25c39fd9733c554047.cu |
/*
Copyright 2012 The Trustees of Indiana University. All rights reserved.
CGL MapReduce Framework on GPUs and CPUs
Code Name: Panda
File: PandaUtils.cu
First Version: 2012-07-01 V0.1
Current Version: 2012-09-01 V0.3
Last Updates: 2012-09-02
Developer: Hui Li (lihui@indiana.edu)
This is the sourc... |
6c8de81ad530980c383885fa12c209377548124f.hip | // !!! This is a file automatically generated by hipify!!!
#include "cudaFun.h"
#include <cuda/cuda_runtime.h>
#include <malloc.h>
void allocateArray(float* h_arr, float* &d_arr, long totalsize){
size_t sizecpy = totalsize * sizeof(float);
hipMalloc((void **) &d_arr, sizecpy);
hipMemcpy(d_arr, h_arr, sizec... | 6c8de81ad530980c383885fa12c209377548124f.cu | #include "cudaFun.h"
#include <cuda/cuda_runtime.h>
#include <malloc.h>
void allocateArray(float* h_arr, float* &d_arr, long totalsize){
size_t sizecpy = totalsize * sizeof(float);
cudaMalloc((void **) &d_arr, sizecpy);
cudaMemcpy(d_arr, h_arr, sizecpy, cudaMemcpyHostToDevice);
}
void deallocateArray(floa... |
ba892df23d978072705874168ffe163523c1c9f1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void kSparseDot(int m, int n, int k, float *data, int* indptr, int* indices, float *dense_data, float* target, float beta, float alpha) {
const unsigned int row = blockIdx.x * blockDim.x + threadIdx.... | ba892df23d978072705874168ffe163523c1c9f1.cu | #include "includes.h"
__global__ void kSparseDot(int m, int n, int k, float *data, int* indptr, int* indices, float *dense_data, float* target, float beta, float alpha) {
const unsigned int row = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int col = blockIdx.y * blockDim.y + threadIdx.y;
if (row < m && col <... |
cb2df92fd96782c84003aa44388662e0d9bc223e.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdint.h>
#include <hip/hip_runtime.h>
extern "C" __global__ void bench(uint32_t *a, uint32_t *b, uint32_t *c, uint32_t n){
int i = blockIdx.x * blockDim.x + threadIdx.x;
int j = blockIdx.y * blockDim.y + threadIdx.y;
if(i<n&&j<n){
... | cb2df92fd96782c84003aa44388662e0d9bc223e.cu | #include <stdint.h>
#include <cuda.h>
extern "C" __global__ void bench(uint32_t *a, uint32_t *b, uint32_t *c, uint32_t n){
int i = blockIdx.x * blockDim.x + threadIdx.x;
int j = blockIdx.y * blockDim.y + threadIdx.y;
if(i<n&&j<n){
int idx = i*n+j;
c[idx] = a[idx] + b[idx];
}
}
|
2fa253187481c3befbfc762845e6ca40d043256d.hip | // !!! This is a file automatically generated by hipify!!!
#include "opencv2/highgui/highgui.hpp"
#include "opencv/cv.h"
int FastSobel(unsigned char *in, int width, int height, int widthStep,
unsigned char *edg, unsigned char *ang)
{
int i,j;
unsigned char *inPtr = NULL;
unsigned char *inPtr1 = NULL;
un... | 2fa253187481c3befbfc762845e6ca40d043256d.cu | #include "opencv2/highgui/highgui.hpp"
#include "opencv/cv.h"
int FastSobel(unsigned char *in, int width, int height, int widthStep,
unsigned char *edg, unsigned char *ang)
{
int i,j;
unsigned char *inPtr = NULL;
unsigned char *inPtr1 = NULL;
unsigned char *inPtr2 = NULL;
unsigned char *inPtr3 = NULL;... |
ab746305835c1802668bab0f0d5b4df99bbd3875.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "FixLJCut.h"
#include "BoundsGPU.h"
#include "GridGPU.h"
#include "list_macro.h"
#include "PairEvaluateIso.h"
#include "State.h"
#include "cutils_func.h"
const std::string LJCutType = "LJCut";
FixLJCut::FixLJCut(boost::s... | ab746305835c1802668bab0f0d5b4df99bbd3875.cu | #include "FixLJCut.h"
#include "BoundsGPU.h"
#include "GridGPU.h"
#include "list_macro.h"
#include "PairEvaluateIso.h"
#include "State.h"
#include "cutils_func.h"
const std::string LJCutType = "LJCut";
FixLJCut::FixLJCut(boost::shared_ptr<State> state_, std::string handle_)
: FixPair(state_, handle_, "all", LJCutT... |
253b9b48ef22b544afd51fd2a97e6ba2f3be131b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cmath>
#include <stdio.h>
#include <cassert>
#include <iostream>
#include "mish.h"
namespace nvinfer1
{
// create the plugin at runtime from a byte stream
MishPlugin::MishPlugin(const void* data, size_t length)
... | 253b9b48ef22b544afd51fd2a97e6ba2f3be131b.cu | #include <cmath>
#include <stdio.h>
#include <cassert>
#include <iostream>
#include "mish.h"
namespace nvinfer1
{
// create the plugin at runtime from a byte stream
MishPlugin::MishPlugin(const void* data, size_t length)
{
assert(length == sizeof(input_size_));
input_size_ = *reinterpret_ca... |
87c45ee9e337f4bda5b90d0da7b126db3287e007.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019-2023, 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.o... | 87c45ee9e337f4bda5b90d0da7b126db3287e007.cu | /*
* Copyright (c) 2019-2023, 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... |
b2f42cfbbf6ac66c2c10e4b2e27f8d2131a16321.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef _MUMMERGPU_KERNEL_H_
#define _MUMMERGPU_KERNEL_H_
#include <stdio.h>
#include <common.cu>
#ifdef n__DEVICE_EMULATION__
#define XPRINTF(...) printf(__VA_ARGS__)
#define VERBOSE 0
#else
#define XPRINTF(...) do{}while(0)
... | b2f42cfbbf6ac66c2c10e4b2e27f8d2131a16321.cu | #ifndef _MUMMERGPU_KERNEL_H_
#define _MUMMERGPU_KERNEL_H_
#include <stdio.h>
#include <common.cu>
#ifdef n__DEVICE_EMULATION__
#define XPRINTF(...) printf(__VA_ARGS__)
#define VERBOSE 0
#else
#define XPRINTF(...) do{}while(0)
#define VERBOSE 0
#endif
#define WARP_SIZE 16
#if REORDER_TREE
#define fNI... |
5d816ef487dfaaa4050183008006d3293cdf1497.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <cutil.h>
// Includes
#include <stdio.h>
// includes, project
#include "../include/sdkHelper.h" // helper for shared functions common to CUDA SDK samples
//#include <shrQATest.h>
//#include <shrUtils.h>
// incl... | 5d816ef487dfaaa4050183008006d3293cdf1497.cu | #include <stdio.h>
#include <stdlib.h>
#include <cutil.h>
// Includes
#include <stdio.h>
// includes, project
#include "../include/sdkHelper.h" // helper for shared functions common to CUDA SDK samples
//#include <shrQATest.h>
//#include <shrUtils.h>
// includes CUDA
#include <cuda_runtime.h>
//NI DAQ
#include "../... |
75b0b47fb17fd4cc9dd8a71a32d8c81723cca46e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/***************************************************************************//**
* \file generateVelB.cu
* \author Anush Krishnan (anush@bu.edu)
* \brief Implementation of the kernels to generate body-velocities.
*/
#include "... | 75b0b47fb17fd4cc9dd8a71a32d8c81723cca46e.cu | /***************************************************************************//**
* \file generateVelB.cu
* \author Anush Krishnan (anush@bu.edu)
* \brief Implementation of the kernels to generate body-velocities.
*/
#include "generateVelB.h"
/**
* \namespace kernels
* \brief Contains all custom-written CUDA k... |
ec36612ec67f5a99603d548105a1527ee0bc0151.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 "multiplyBy2_self.cu"
#include<chrono>
#include<iostream>
using n... | ec36612ec67f5a99603d548105a1527ee0bc0151.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 "multiplyBy2_self.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},... |
a7ad54fa976ab63a4aba3596169bba6fecb1d32e.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 "pointGenKernel.cu"
#include<chrono>
#include<iostream>
using nam... | a7ad54fa976ab63a4aba3596169bba6fecb1d32e.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 "pointGenKernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{2... |
ee27e8e4360230535951422d4d59067de905d403.hip | // !!! This is a file automatically generated by hipify!!!
#include "bloomfilter.h"
#include <stdlib.h>
#include <iostream>
#include <semaphore.h>
#include <vector>
#include <bitset>
#include <cstring>
#include <ctime>
#include <omp.h>
#include <inttypes.h>
#include <iomanip>
#include <iomanip>
#include <hip/hip_runtim... | ee27e8e4360230535951422d4d59067de905d403.cu | #include "bloomfilter.h"
#include <stdlib.h>
#include <iostream>
#include <semaphore.h>
#include <vector>
#include <bitset>
#include <cstring>
#include <ctime>
#include <omp.h>
#include <inttypes.h>
#include <iomanip>
#include <iomanip>
#include <cuda.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#... |
b7721266313881a4d873c0213586fdf13a045964.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <vector>
#include "caffe/filler.hpp"
#include "caffe/layer.hpp"
#include "caffe/loss_layers.hpp"
#include "caffe/util/io.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__globa... | b7721266313881a4d873c0213586fdf13a045964.cu | #include <vector>
#include "caffe/filler.hpp"
#include "caffe/layer.hpp"
#include "caffe/loss_layers.hpp"
#include "caffe/util/io.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void Compute_distance_data_gpu(int nthreads, const int K, const Dtype* bottom,
... |
bd18d3f83b9295d3c49d554b6c7e1e4a121dc803.hip | // !!! This is a file automatically generated by hipify!!!
/* Copyright 2013. The Regents of the University of California.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2012-03-24 Martin Uecker <uecker@eecs.berkeley.edu>
... | bd18d3f83b9295d3c49d554b6c7e1e4a121dc803.cu | /* Copyright 2013. The Regents of the University of California.
* All rights reserved. Use of this source code is governed by
* a BSD-style license which can be found in the LICENSE file.
*
* Authors:
* 2012-03-24 Martin Uecker <uecker@eecs.berkeley.edu>
*
*
* This file defines basic operations on vectors of ... |
05823d707604b265c01069390cb27d53f47862b8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
// includes, project
#include "inc.h"
float * GenVectors(int numVectors, int numDims){
srand(10);
float * buf=(float*... | 05823d707604b265c01069390cb27d53f47862b8.cu | // includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
// includes, project
#include "inc.h"
float * GenVectors(int numVectors, int numDims){
srand(10);
float * buf=(float*)malloc(sizeof(float)*numVectors*numDims);
for(int i=0;i<numVectors*numDims;i++)... |
5801d173e995df67d8bf14453427b20ddfe1b662.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Authors:
* Oren Freifeld, freifeld@csail.mit.edu
* Yixin Li, Email: liyixin@mit.edu
*/
__global__ void clear_fields(int * count, double * log_count,
int * mu_i_h, int * mu_s_h, double * mu_i, double * mu_s, unsigned long long... | 5801d173e995df67d8bf14453427b20ddfe1b662.cu | /*
* Authors:
* Oren Freifeld, freifeld@csail.mit.edu
* Yixin Li, Email: liyixin@mit.edu
*/
__global__ void clear_fields(int * count, double * log_count,
int * mu_i_h, int * mu_s_h, double * mu_i, double * mu_s, unsigned long long int * sigma_s_h,
const int dim_i, const int nsuperpixel){
int k = threadIdx.x + blo... |
35325e4f3a3a883c96aecd19ba9e108d92dadc54.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void atomic_red(const float *gdata, float *out){
size_t idx = threadIdx.x+blockDim.x*blockIdx.x;
if (idx < N) atomicAdd(out, gdata[idx]);
} | 35325e4f3a3a883c96aecd19ba9e108d92dadc54.cu | #include "includes.h"
__global__ void atomic_red(const float *gdata, float *out){
size_t idx = threadIdx.x+blockDim.x*blockIdx.x;
if (idx < N) atomicAdd(out, gdata[idx]);
} |
da0d4cc403f5349dd1d1915baea4e3fe7be19fa5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "fill.cuh"
#if defined(CUDA)
namespace Cuda {
namespace Kernel {
template <typename T>
__global__ void FillBufferImpl(T* buffer, T value, int64_t size) {
int64_t i = blockIdx.x * blockDim.x ... | da0d4cc403f5349dd1d1915baea4e3fe7be19fa5.cu | #include "fill.cuh"
#if defined(CUDA)
namespace Cuda {
namespace Kernel {
template <typename T>
__global__ void FillBufferImpl(T* buffer, T value, int64_t size) {
int64_t i = blockIdx.x * blockDim.x + threadIdx.x;
while (i < size) {
buffer[i] = value;
... |
3f0a66ccea1c6085224b2d4afdf3e12015471e3d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <Chain.h>
#include <Config.h>
#include <constants.h>
#include <functions.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
__global__ void updateProbs(Chain *a, int heterosis){
int g = IDX;
... | 3f0a66ccea1c6085224b2d4afdf3e12015471e3d.cu | #include <Chain.h>
#include <Config.h>
#include <constants.h>
#include <functions.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
__global__ void updateProbs(Chain *a, int heterosis){
int g = IDX;
if(a->m > a->burnin){
if(g < a->G){
a->dex[g] += ((a->alp[g] * a->alp[g]) > 1... |
29e3f9514c7fc1f6bf02e8f78eb79924f293d86c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "my_cuda.h"
// Fill the particle bins arrays -- partBin and partInd
__global__ void bin_fill(int *partInd, int *partBin, int nparts,
part_struct *parts, dom_struct *binDom, BC bc)
{
int pp = threadIdx.x + blockIdx.x*b... | 29e3f9514c7fc1f6bf02e8f78eb79924f293d86c.cu | #include "my_cuda.h"
// Fill the particle bins arrays -- partBin and partInd
__global__ void bin_fill(int *partInd, int *partBin, int nparts,
part_struct *parts, dom_struct *binDom, BC bc)
{
int pp = threadIdx.x + blockIdx.x*blockDim.x;
int c;
int ibin, jbin, kbin;
// Find the correct bin index for each p... |
3b54deb26e13b8cef21e4bce8f45918f8709edf3.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <hiprand/hiprand.h>
#include <hiprand/hiprand_kernel.h>
#include <hip/hip_runtime.h>
#include <math.h>
#define N 100
#define PAR_SIM_COUNT 5
#define T 1
#define T_MIN 0.1
#define ALPHA 0.9
#def... | 3b54deb26e13b8cef21e4bce8f45918f8709edf3.cu | #include <stdio.h>
#include <time.h>
#include <sys/time.h>
#include <curand.h>
#include <curand_kernel.h>
#include <cuda.h>
#include <math.h>
#define N 100
#define PAR_SIM_COUNT 5
#define T 1
#define T_MIN 0.1
#define ALPHA 0.9
#define ITERATION 1000000
__global__
void expandRandom(float *a, int min, int max){
int in... |
215d626ff5f13b17498153072e0a2d09af4ed045.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.6.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2014
@generated from zherk_fermi_batched.cu normal z -> c, S... | 215d626ff5f13b17498153072e0a2d09af4ed045.cu | /*
-- MAGMA (version 1.6.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2014
@generated from zherk_fermi_batched.cu normal z -> c, Sat Nov 15 19:53:59 2014
@author Jakub Kurzak
@author Stan Tomov
@a... |
9917f4afd6035855b56984f6750f2c027d909d49.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 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
*
*... | 9917f4afd6035855b56984f6750f2c027d909d49.cu | /*
* Copyright (c) 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 law ... |
df4638641f250693d6cdb1f064ed647df6ba3798.hip | // !!! This is a file automatically generated by hipify!!!
#include<iostream>
#include<stdlib.h>
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <assert.h>
int number_count = 640; // Allocation yapilacak int miktari
const int allocation_size = number_count * sizeof(int); // numbe... | df4638641f250693d6cdb1f064ed647df6ba3798.cu | #include<iostream>
#include<stdlib.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <assert.h>
int number_count = 640; // Allocation yapilacak int miktari
const int allocation_size = number_count * sizeof(int); // number_count * 4 B
void* cpu_p;
void* gpu_p;
void cpuAlloc() ... |
cb959fc3b0cc00ff6865b89c440169829429fb94.hip | // !!! This is a file automatically generated by hipify!!!
//===--------------------------- tensor_utils.cu --------------------------===//
//
//===----------------------------------------------------------------------===//
//
// This file consists of the custom implementation of utility functions
// useful for appro... | cb959fc3b0cc00ff6865b89c440169829429fb94.cu | //===--------------------------- tensor_utils.cu --------------------------===//
//
//===----------------------------------------------------------------------===//
//
// This file consists of the custom implementation of utility functions
// useful for approximated and non-approximated versions of tensor operations.... |
a226bbf15ca6d6362bf0e194f70db1c42aa34838.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#define THREADS_PER_BLOCK 1024
#define THRESHOLD 67108864
__global__ void encrypt(int n, char *m, char *k, char *c){
int j, i = blockIdx.x*blockDim.x + threadIdx.x;
if ... | a226bbf15ca6d6362bf0e194f70db1c42aa34838.cu | #include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#define THREADS_PER_BLOCK 1024
#define THRESHOLD 67108864
__global__ void encrypt(int n, char *m, char *k, char *c){
int j, i = blockIdx.x*blockDim.x + threadIdx.x;
if (i < n){
for(j = 1; j <= 100; j++){
c[i] = m[i] ^ k[i];
}
}
}
int main(){
/* ... |
31e183a84a1ab84f76146007640366eb789070f4.hip | // !!! This is a file automatically generated by hipify!!!
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are... | 31e183a84a1ab84f76146007640366eb789070f4.cu | /***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are me... |
c8dd03f06dadfb96375198ea62049c76c9ab375d.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 <time.h>
#include <math.h>
#include <Windows.h>
#include <assert.h>
#define N_EQUATIONS (1<<25)
#define CUDA_CALL(x) { const hipError_t a = (x... | c8dd03f06dadfb96375198ea62049c76c9ab375d.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include <Windows.h>
#include <assert.h>
#define N_EQUATIONS (1<<25)
#define CUDA_CALL(x) { const cudaError_t a = (x); if(a != cudaSuccess) { printf("\nCuda Error: %s (err_num=%... |
b52063c97a707ed4c2618bd3352aa2113b5c6d70.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <objects/point/points.cuh>
#include <objects/point/kernels.cu>
#include <core/ImguiConfig.hpp>
void Points::init()
{
isPing = true;
//Generating buffers
glGenBuffers (BUFFER_COUNT, BUFFER);
std::cout<... | b52063c97a707ed4c2618bd3352aa2113b5c6d70.cu | #include <objects/point/points.cuh>
#include <objects/point/kernels.cu>
#include <core/ImguiConfig.hpp>
void Points::init()
{
isPing = true;
//Generating buffers
glGenBuffers (BUFFER_COUNT, BUFFER);
std::cout<<glGetError()<<std::endl;
//init buffers
uint *tempUint = new uint[MAX_NUM_POINT... |
90199fb78ce26702ec7b71a1bdc95602e99d2baa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_generate_chunk_kernel;
int xdim0_generate_chunk_kernel_h = -1;
__constant__ int xdim1_generate_chunk_kernel;
int xdim1_generate_chunk_kernel_h = -1;
__constant__ int xdim2_gen... | 90199fb78ce26702ec7b71a1bdc95602e99d2baa.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_generate_chunk_kernel;
int xdim0_generate_chunk_kernel_h = -1;
__constant__ int xdim1_generate_chunk_kernel;
int xdim1_generate_chunk_kernel_h = -1;
__constant__ int xdim2_generate_chunk_kernel;
int xdim2_generate_chunk_kernel_h = -1;
__constant__ int xdim3_gener... |
7f77f2ef2092f0f40a21b8187d4e6598befb1037.hip | // !!! This is a file automatically generated by hipify!!!
#include "stereo.hpp"
#include "stereosgm.hpp"
#include "../costs/stable.hpp"
#include "../costs/dual.hpp"
#include <opencv2/cudawarping.hpp>
#include <opencv2/cudafilters.hpp>
#include <opencv2/highgui.hpp>
typedef MultiCostsWeighted<StableMatchingCost,3> Mat... | 7f77f2ef2092f0f40a21b8187d4e6598befb1037.cu | #include "stereo.hpp"
#include "stereosgm.hpp"
#include "../costs/stable.hpp"
#include "../costs/dual.hpp"
#include <opencv2/cudawarping.hpp>
#include <opencv2/cudafilters.hpp>
#include <opencv2/highgui.hpp>
typedef MultiCostsWeighted<StableMatchingCost,3> MatchingCost;
static void variance_mask(cv::InputArray in, cv... |
9238c3272ea0b5fd3dd37113d82d71ff7f942434.hip | // !!! This is a file automatically generated by hipify!!!
//#include <stdlib.h>
//#include <string.h>
//#include <stdio.h>
#include "jim.h"
#include "jimautoconf.h"
#include "jim-subcmd.h"
static __device__ int history_cmd_getline(Jim_Interp *interp, int argc, Jim_Obj *const *argv)
{
#if __HIPCC__
char *line = nullp... | 9238c3272ea0b5fd3dd37113d82d71ff7f942434.cu | //#include <stdlib.h>
//#include <string.h>
//#include <stdio.h>
#include "jim.h"
#include "jimautoconf.h"
#include "jim-subcmd.h"
static __device__ int history_cmd_getline(Jim_Interp *interp, int argc, Jim_Obj *const *argv)
{
#if __CUDACC__
char *line = nullptr; //Jim_HistoryGetline(Jim_String(argv[0]));
#else
char... |
e34465063dc4d638ffbacd10a903753b2f4dab0c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* @Name: matrix_transfer_2d.cu
* @Description: 3D Matrix (NxMxZ) Floating-Point Transfer.
*
* @Author: Giacomo Marciani <gmarciani@acm.org>
* @Institution: University of Rome Tor Vergata
*
* @Usage: matrix_transfer_2d matr... | e34465063dc4d638ffbacd10a903753b2f4dab0c.cu | /*
* @Name: matrix_transfer_2d.cu
* @Description: 3D Matrix (NxMxZ) Floating-Point Transfer.
*
* @Author: Giacomo Marciani <gmarciani@acm.org>
* @Institution: University of Rome Tor Vergata
*
* @Usage: matrix_transfer_2d matrixRows matrixCols matrixZ blockSize
*
* Default values:
* matrixRows: 4096
* matri... |
047be0236268f2267671c3a47c02f188b0cdb1c5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2018-2022, 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
... | 047be0236268f2267671c3a47c02f188b0cdb1c5.cu | /*
* Copyright (c) 2018-2022, 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... |
ddb5a537af1e68a5e84e06a268d4e0db0181a5fc.hip | // !!! This is a file automatically generated by hipify!!!
/************************************************************************************\
* *
* Copyright 2014 Advanced Micro Devices, Inc. *
*... | ddb5a537af1e68a5e84e06a268d4e0db0181a5fc.cu | /************************************************************************************\
* *
* Copyright © 2014 Advanced Micro Devices, Inc. *
* Copyright (c) 2015 Mark D. Hill and David A. Wood ... |
d80ca3f228df6c25d827ecbf30a0dad75581875b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <sys/time.h>
void genRandomString(char *str,int length)
{
for(int i=0;i<length-1;++i)
{
str[i] = 'a' + rand()%26;
}
str[length-1] = '\0';
}
void genRa... | d80ca3f228df6c25d827ecbf30a0dad75581875b.cu | #include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <sys/time.h>
void genRandomString(char *str,int length)
{
for(int i=0;i<length-1;++i)
{
str[i] = 'a' + rand()%26;
}
str[length-1] = '\0';
}
void genRandomSubString(char *str,int length,int sub_len)
{
for(int i=0;i<length-1;++i)
{
... |
925f6765e3c373abb52bf88da8e3e3e72aa0af32.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <math.h>
#include <chrono>
#include <hip/hip_runtime.h>
void reference (
int numNeurons, int neurons_per_item, float dt,
float*__restrict__ encode_result,
float*__restrict__ voltage... | 925f6765e3c373abb52bf88da8e3e3e72aa0af32.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <math.h>
#include <chrono>
#include <cuda.h>
void reference (
int numNeurons, int neurons_per_item, float dt,
float*__restrict__ encode_result,
float*__restrict__ voltage_array,
float*__restrict__ reftime_array,
float tau_rc, float ... |
005a28e23ba8aeac5cee788de323afeb25535894.hip | // !!! This is a file automatically generated by hipify!!!
/*
% Function: receiver
By: Mohammed Osama & Khaled Ahmed
*/
#include "sc_fdma_demodulator.cuh"
#include "generate_dmrs_pusch_hip.cuh"
#include "generate_ul_rs.cuh"
#include "generate_psuedo_random_seq.cuh"
#include "transform_predecoder.cuh"
#include "dec... | 005a28e23ba8aeac5cee788de323afeb25535894.cu | /*
% Function: receiver
By: Mohammed Osama & Khaled Ahmed
*/
#include "sc_fdma_demodulator.cuh"
#include "generate_dmrs_pusch.cuh"
#include "generate_ul_rs.cuh"
#include "generate_psuedo_random_seq.cuh"
#include "transform_predecoder.cuh"
#include "decompose_subframe.cuh"
#include "demapper.cuh"
#include "descramb... |
3739b5077b744f287ab98755de289be99545e327.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// ---------------------------------------------------------
// Author: Andy Zeng, Princeton University, 2016
// ---------------------------------------------------------
#include <iostream>
#include <fstream>
#include <iomanip>
#i... | 3739b5077b744f287ab98755de289be99545e327.cu | // ---------------------------------------------------------
// Author: Andy Zeng, Princeton University, 2016
// ---------------------------------------------------------
#include <iostream>
#include <fstream>
#include <iomanip>
#include <sstream>
#include <string>
#include "utils.hpp"
// CUDA kernel function to inte... |
6b284d8e7ccf1bc42ca8c19db7a8507c25ce3568.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
typedef long long ll_t;
typedef unsigned long long ull_t;
typedef struct __builtin_align__(32) {
float s0, s1, s2, s3, s4, s5, s6, s7;
} _float8;
typedef union {
_float8 f8;
float val[8];
} float8;
__device__ __forceinline_... | 6b284d8e7ccf1bc42ca8c19db7a8507c25ce3568.cu | typedef long long ll_t;
typedef unsigned long long ull_t;
typedef struct __builtin_align__(32) {
float s0, s1, s2, s3, s4, s5, s6, s7;
} _float8;
typedef union {
_float8 f8;
float val[8];
} float8;
__device__ __forceinline__ float atomicMax(float *address, float val)
{
int ret = __float_as_int(*address);
w... |
a3981d44b88bc122b6b4b5ebb36091ac5111aaac.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hip/device_functions.h"
#include "rocblas.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <fstream>
#include <cstdlib>
#include <ctime>
#include <math.h>
#include <queue>
using namespace std;
struct... | a3981d44b88bc122b6b4b5ebb36091ac5111aaac.cu | #include "cuda_runtime.h"
#include "device_functions.h"
#include "cublas_v2.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <fstream>
#include <cstdlib>
#include <ctime>
#include <math.h>
#include <queue>
using namespace std;
struct Point {
float x;
float y;
int cluster;
int noise... |
3b4ae64d2b202cce00ffdf020620971cdd59c5d2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Created by root on 23/03/2020.
//
#include "../Matrix.cuh"
#include <iostream>
__global__ void matrixDivisionScalar(double *a, double b, double *c, int cr, int cc){
int x = blockIdx.x * blockDim.x + threadIdx.x; // col
... | 3b4ae64d2b202cce00ffdf020620971cdd59c5d2.cu | //
// Created by root on 23/03/2020.
//
#include "../Matrix.cuh"
#include <iostream>
__global__ void matrixDivisionScalar(double *a, double b, double *c, int cr, int cc){
int x = blockIdx.x * blockDim.x + threadIdx.x; // col
int y = blockIdx.y * blockDim.y + threadIdx.y; // row
if(x < cc && y < cr){
... |
78630d77c2dc92b3a62ea57b521b614a155ce924.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <assert.h>
__global__ colorWork(int* row_ptr, int* col_ind, int* neighbor_colors, int* color_array, int index, int i)
{
int tid =
for(int j=row_ptr[i]; j < row_ptr[i+1]; j++){
// neighborhood functi... | 78630d77c2dc92b3a62ea57b521b614a155ce924.cu | #include <stdio.h>
#include <assert.h>
__global__ colorWork(int* row_ptr, int* col_ind, int* neighbor_colors, int* color_array, int index, int i)
{
int tid =
for(int j=row_ptr[i]; j < row_ptr[i+1]; j++){
// neighborhood function to check neighbors of visited verte
if(color_array[col_ind[j]] != -1){
bool foun... |
f9306160e5843117cd11b416df47c0f6d746003b.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 1993-2014 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, ... | f9306160e5843117cd11b416df47c0f6d746003b.cu | /*
* Copyright 1993-2014 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... |
efec8d5efa9db25a6f7c11d3400af085307afbdf.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "../include/transform.cuh"
#include <malloc.h>
#include <assert.h>
#include <stdio.h>
#include "../include/operation.h"
#include "../include/cuRPCF.h"
#include <omp.h>
#include "../include/transpose.cuh"
#include <iostream>... | efec8d5efa9db25a6f7c11d3400af085307afbdf.cu | #include "../include/transform.cuh"
#include <malloc.h>
#include <assert.h>
#include <stdio.h>
#include "../include/operation.h"
#include "../include/cuRPCF.h"
#include <omp.h>
#include "../include/transpose.cuh"
#include <iostream>
cufftHandle planXYr2c, planXYc2r, planZ_pad, planZ_no_pad;
cufftHandle planXYr2c_X3, p... |
58b75e7f0f6b9201e62eb79b619c58cab09a23af.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <omp.h>
#include "cnn.h"
#include "layer.h"
#include "dataset.h"
#include "batch.h"
#include "debug_extra.h"
#include "error_handling.h"
#include ... | 58b75e7f0f6b9201e62eb79b619c58cab09a23af.cu | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <omp.h>
#include "cnn.h"
#include "layer.h"
#include "dataset.h"
#include "batch.h"
#include "debug_extra.h"
#include "error_handling.h"
#include "cudaKernels.h"
#include "timer.h"
double LEARNING_RATE = 0.003;
void writeMetrics(flo... |
fd45ba009ef7efa8073662ff46f2005483165ba6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <math_functions.h> // CUDA's, not caffe's, for fabs, signbit
#include <thrust/device_vector.h>
#include <thrust/functional.h> // thrust::plus
#include <thrust/reduce.h>
#include <cmath>
#include "caffe/common.hpp"
#incl... | fd45ba009ef7efa8073662ff46f2005483165ba6.cu | #include <math_functions.h> // CUDA's, not caffe's, for fabs, signbit
#include <thrust/device_vector.h>
#include <thrust/functional.h> // thrust::plus
#include <thrust/reduce.h>
#include <cmath>
#include "caffe/common.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
#define TILE_DIM 16
template... |
Sigmoid.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#if USE_ROCM
#include "cuda/Common.h"
#include "activation/Sigmoid.h"
namespace nn {
namespace activation {
__device__ float sigmoid(float x) {
return 1.0f / (1.0f + exp(-x));
}
__global__ void SigmoidForwardImpl(const int N... | Sigmoid.cu | #if USE_CUDA
#include "cuda/Common.h"
#include "activation/Sigmoid.h"
namespace nn {
namespace activation {
__device__ float sigmoid(float x) {
return 1.0f / (1.0f + exp(-x));
}
__global__ void SigmoidForwardImpl(const int N, const float* X, float* Y) {
const int i = blockIdx.x * blockDim.x + threadIdx.x;
... |
537925d30f7e63c7b9e718f065f4128e01394195.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// -------------------------------------------------------------
// cuDPP -- CUDA Data Parallel Primitives library
// -------------------------------------------------------------
// $Revision: 3049 $
// $Date: 2007-02-26 10:42:36... | 537925d30f7e63c7b9e718f065f4128e01394195.cu | // -------------------------------------------------------------
// cuDPP -- CUDA Data Parallel Primitives library
// -------------------------------------------------------------
// $Revision: 3049 $
// $Date: 2007-02-26 10:42:36 -0800 (Mon, 26 Feb 2007) $
// ---------------------------------------------------------... |
fbc3f8650566c65f6d136711f66fce7f41ae40ec.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2020-2022, NVIDIA CORPORATION & AFFILIATES. 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 a... | fbc3f8650566c65f6d136711f66fce7f41ae40ec.cu | // Copyright (c) 2020-2022, NVIDIA CORPORATION & AFFILIATES. 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
//
/... |
5c0e578bb3035bb2e661bc5635363ab9fb05c7c2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cfloat>
#include <hipcub/hipcub.hpp>
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/softmax_op.h"
#include "caffe2/operators/softmax_with_loss_op.h"
#include "caffe2/operators/spatial_softmax_with_loss_op... | 5c0e578bb3035bb2e661bc5635363ab9fb05c7c2.cu | #include <cfloat>
#include <cub/block/block_reduce.cuh>
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/softmax_op.h"
#include "caffe2/operators/softmax_with_loss_op.h"
#include "caffe2/operators/spatial_softmax_with_loss_op.h"
namespace caffe2 {
namespace {
__global__ void LabelCrossEntropyKernel(
... |
0b981d5dc22c5d82161d759fbee8126c157174c8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<cuda.h>
#include<iostream>
#include <unistd.h>
using namespace std;
const int numElems =2;
__global__ void dataKernel( double* data, int nsteps){
//this adds a value to a variable stored in global memory
int thid = thre... | 0b981d5dc22c5d82161d759fbee8126c157174c8.cu | #include<cuda.h>
#include<iostream>
#include <unistd.h>
using namespace std;
const int numElems =2;
__global__ void dataKernel( double* data, int nsteps){
//this adds a value to a variable stored in global memory
int thid = threadIdx.x;
//data[thid] = 0;
int i = 0;
bool wait = 1;
clock_t start = clock64();
cl... |
63f880b5d19763ae2610eab640384c392483d333.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <stdlib.h>
#include <wb.h>
#include <stdint.h>
#include <ctype.h>
#include <stdio.h>
#include <unistd.h>
#include "hamc_cpu_code.c"
#include "hamc_common.h"
#include "decrypt.cu"
#include "encrypt.cu"
#include "keygen.cu"... | 63f880b5d19763ae2610eab640384c392483d333.cu | #include <cuda_runtime.h>
#include <stdlib.h>
#include <wb.h>
#include <stdint.h>
#include <ctype.h>
#include <stdio.h>
#include <unistd.h>
#include "hamc_cpu_code.c"
#include "hamc_common.h"
#include "decrypt.cu"
#include "encrypt.cu"
#include "keygen.cu"
#include "hamc_e2e.cu"
#define CUDA_CHECK(ans) \
{ gpuAss... |
56d4eff8e153b76503d27e96c1d2f925c9f23189.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Host Side Code for Cross-correlation in GPU
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <fstream>
//#include "Cross_Data_type.h"
#include "corr2Mex_V3.h"
#include "normXcorr_GPUKernel_V3... | 56d4eff8e153b76503d27e96c1d2f925c9f23189.cu | // Host Side Code for Cross-correlation in GPU
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <fstream>
//#include "Cross_Data_type.h"
#include "corr2Mex_V3.h"
#include "normXcorr_GPUKernel_V3.cu"
using namespace std;
Matrix AllocateDeviceMatrix(const Matrix M);
Matrix Allocat... |
4123c88938c5ceeab90be2f44b19f1e86df52dd4.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");
if (file) {... | 4123c88938c5ceeab90be2f44b19f1e86df52dd4.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);
}
fprintf(stderr, ": %s: %s... |
ce56ca5e2627559c5030083bb1eb7950cff93bf2.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>
#include <time.h>
#include "hip/hip_runtime.h"
#include "functions.c"
__device__ unsigned int modprodC(unsigned int a, unsigned int b, unsigned int p) {
unsigned int za = a;
unsi... | ce56ca5e2627559c5030083bb1eb7950cff93bf2.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>
#include <time.h>
#include "cuda.h"
#include "functions.c"
__device__ unsigned int modprodC(unsigned int a, unsigned int b, unsigned int p) {
unsigned int za = a;
unsigned int ab = 0;
while (b > 0) {
if (b%2 == 1) ab = (ab + za) ... |
5a5b23dc5aca8896fe5c4d4095f6c01f8e8f83b5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* a simple test
*/
__shared__ float data1[32][32];
__shared__ float data2[32][32];
__shared__ float data3[32][32];
__device__ void mult(__shared__ float d1[32][32],
__shared__ float d2[32][32],
... | 5a5b23dc5aca8896fe5c4d4095f6c01f8e8f83b5.cu | /*
* a simple test
*/
__shared__ float data1[32][32];
__shared__ float data2[32][32];
__shared__ float data3[32][32];
__device__ void mult(__shared__ float d1[32][32],
__shared__ float d2[32][32],
__shared__ float d3[32][32],
int idx)
{
int i;
for ... |
48c8d9ef076e178d741929019f5bd63679a274d6.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include "hip/hip_runtime.h"
#define N 2 //64
__device__ float multiplyByTwo(float *v, unsigned int tid) {
return v[tid] * 2.0f;
}
__device__ float divideByTwo(float *v, unsigned int tid) {
return v[tid] * 0.5f;
}
typedef float(... | 48c8d9ef076e178d741929019f5bd63679a274d6.cu | #include <stdio.h>
#include "cuda.h"
#define N 2 //64
__device__ float multiplyByTwo(float *v, unsigned int tid) {
return v[tid] * 2.0f;
}
__device__ float divideByTwo(float *v, unsigned int tid) {
return v[tid] * 0.5f;
}
typedef float(*funcType)(float*, unsigned int);
__global__ void foor(float *v, unsi... |
86d8ef622016bf39dfe586b6f8cb8a6f112c8ecf.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdio>
#include <cstdint>
#include <cstdlib>
#include "MyFunctions.h"
#include "CharacterList.h"
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include <iostream>
using namespace std;
static const u... | 86d8ef622016bf39dfe586b6f8cb8a6f112c8ecf.cu | #include <cstdio>
#include <cstdint>
#include <cstdlib>
#include "MyFunctions.h"
#include "CharacterList.h"
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <iostream>
using namespace std;
static const unsigned W = 1920;
static const unsigned H = 1080;
static const int char_w... |
f6cca8edc16f811480bd58b8f38bf5a270edd3cc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel4_plus_2_b;
int xdim0_update_halo_kernel4_plus_2_b_h = -1;
__constant__ int ydim0_update_halo_kernel4_plus_2_b;
int ydim0_update_halo_kernel4_plus_2_b_h = -1... | f6cca8edc16f811480bd58b8f38bf5a270edd3cc.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel4_plus_2_b;
int xdim0_update_halo_kernel4_plus_2_b_h = -1;
__constant__ int ydim0_update_halo_kernel4_plus_2_b;
int ydim0_update_halo_kernel4_plus_2_b_h = -1;
__constant__ int xdim1_update_halo_kernel4_plus_2_b;
int xdim1_update_halo_kernel4_plu... |
1cd4177b5b5666fc722aa027a65b0882b6eba0ea.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Program to implement a SAT solver using the DPLL algorithm with unit
* propagation Sukrut Rao CS15BTECH11036
*/
#include <algorithm>
#include <cmath>
#include <cstdint>
#include <iostream>
#include <string>
#include <f... | 1cd4177b5b5666fc722aa027a65b0882b6eba0ea.cu | /*
* Program to implement a SAT solver using the DPLL algorithm with unit
* propagation Sukrut Rao CS15BTECH11036
*/
#include <algorithm>
#include <cmath>
#include <cstdint>
#include <iostream>
#include <string>
#include <fstream>
#include <vector>
using namespace std;
/*
* enum for different types of retu... |
f3cae2c0a525fcf7a1123414f25f81220831820b.hip | // !!! This is a file automatically generated by hipify!!!
/*!
* Copyright 2015-2019 XGBoost contributors
*/
#include <vector>
#include <algorithm>
#include <utility>
#include <dmlc/omp.h>
#include <dmlc/timer.h>
#include "xgboost/logging.h"
#include "xgboost/objective.h"
#include "xgboost/json.h"
#include "xgboost... | f3cae2c0a525fcf7a1123414f25f81220831820b.cu | /*!
* Copyright 2015-2019 XGBoost contributors
*/
#include <vector>
#include <algorithm>
#include <utility>
#include <dmlc/omp.h>
#include <dmlc/timer.h>
#include "xgboost/logging.h"
#include "xgboost/objective.h"
#include "xgboost/json.h"
#include "xgboost/parameter.h"
#include "../common/math.h"
#include "../com... |
d0c0183b2bd7e08cb899ecb8d52fbae3ea69e2af.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <chrono>
#include <iostream>
//Kernel definition
template<typename T>
__global__
void oftKernel (T* out,
T* in,
const unsigned int sd_size,
const unsigned int block_size,
const unsigned int I,
const unsigned in... | d0c0183b2bd7e08cb899ecb8d52fbae3ea69e2af.cu | #include <chrono>
#include <iostream>
//Kernel definition
template<typename T>
__global__
void oftKernel (T* out,
T* in,
const unsigned int sd_size,
const unsigned int block_size,
const unsigned int I,
const unsigned int L)
{
const unsigned int sd_id = static_cast<int> (threadIdx.x / L); //automatically r... |
d926d50c3201f349dd738c72faa13e390a131c5d.hip | // !!! This is a file automatically generated by hipify!!!
#include "gpu_incremental_map_track.h"
#include "gpu_track_kernels.h"
#include "gpu_defines.h"
#include "hip/hip_runtime.h"
#include <stdlib.h>
#include <memory.h>
#include <malloc.h>
namespace SySal
{
namespace GPU
{
PrismMapTracker::Tracker::Tracker() ... | d926d50c3201f349dd738c72faa13e390a131c5d.cu | #include "gpu_incremental_map_track.h"
#include "gpu_track_kernels.h"
#include "gpu_defines.h"
#include "cuda_runtime.h"
#include <stdlib.h>
#include <memory.h>
#include <malloc.h>
namespace SySal
{
namespace GPU
{
PrismMapTracker::Tracker::Tracker() :
CTOR_INIT(pTracks),
CTOR_INIT(pHostTracks),
CTOR_I... |
cad5ad37afc824b57c0ede3aa1371542b01e5e93.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <time.h>
#define LEN 256
#define TILESZ 16
// Uncomment this line if you want to display //
// the result of the computation. //
// #define DISPLAY 1
static d... | cad5ad37afc824b57c0ede3aa1371542b01e5e93.cu | #include <stdio.h>
#include <time.h>
#define LEN 256
#define TILESZ 16
// Uncomment this line if you want to display //
// the result of the computation. //
// #define DISPLAY 1
static double CLOCK();
__global__ void matInit(float*);
__global__ void stencil(float*, float*)... |
8889032cc743f9e0af81324a0dd05758db0e4598.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include<stdlib.h>
#include<cuda.h>
int main( void ) {
hipDeviceProp_t prop;
int count;
hipGetDeviceCount( &count);
printf("found %d devices\n", count);
for (int i=0; i< count; i++) {
hipGetDeviceProperties( &pr... | 8889032cc743f9e0af81324a0dd05758db0e4598.cu | #include <stdio.h>
#include<stdlib.h>
#include<cuda.h>
int main( void ) {
cudaDeviceProp prop;
int count;
cudaGetDeviceCount( &count);
printf("found %d devices\n", count);
for (int i=0; i< count; i++) {
cudaGetDeviceProperties( &prop, i);
printf( " --- General Information for devi... |
2c9039f2186e406745dfebef7a01a198d47ea8cc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <vector>
#include "caffe/layers/conv_dw_layer.hpp"
#include "caffe/util/gpu_util.cuh"
namespace caffe {
template <typename Dtype>
__global__ void ConvolutionDepthwiseWeightForward(const int nthreads,
const Dtype* cons... | 2c9039f2186e406745dfebef7a01a198d47ea8cc.cu | #include <vector>
#include "caffe/layers/conv_dw_layer.hpp"
#include "caffe/util/gpu_util.cuh"
namespace caffe {
template <typename Dtype>
__global__ void ConvolutionDepthwiseWeightForward(const int nthreads,
const Dtype* const bottom_data, const Dtype* const weight_data,
const int num, const int channels, co... |
fd842ff8f29748464cecfa6c82ea7e9723840574.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#define N 30
//typedef long long int ll;
__global__ void align(char *key , char *s , int *scores , int n , int num)
{
int GP = -1 , MR = 1;
int index = threadIdx.x + blockIdx.x * blockDim... | fd842ff8f29748464cecfa6c82ea7e9723840574.cu |
#include <stdio.h>
#include <stdlib.h>
#define N 30
//typedef long long int ll;
__global__ void align(char *key , char *s , int *scores , int n , int num)
{
int GP = -1 , MR = 1;
int index = threadIdx.x + blockIdx.x * blockDim.x;
if(index < num)
{
int i , j , k , tmp;
int nm[N + 1][N + 1];
char r1[2*N+... |
0b04e71399f9010078e227cb4203ef3879dff608.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <limits>
#include "caffe/common.hpp"
#include "caffe/layer.hpp"
#include "caffe/vision_layers.hpp"
#include "caffe/syncedmem.hpp"
using std::max;
namespace caffe {
template <typename Dtype>
v... | 0b04e71399f9010078e227cb4203ef3879dff608.cu | #include <algorithm>
#include <limits>
#include "caffe/common.hpp"
#include "caffe/layer.hpp"
#include "caffe/vision_layers.hpp"
#include "caffe/syncedmem.hpp"
using std::max;
namespace caffe {
template <typename Dtype>
void DropoutLayer<Dtype>::SetUp(const vector<Blob<Dtype>* >& bottom, vector<Blob<Dtype>* ... |
ab31f1690ead0f0bf0e6e44c1fc25bb8dee946a8.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:... | ab31f1690ead0f0bf0e6e44c1fc25bb8dee946a8.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... |
4d0946dafc6c8aebede9c44041cda57eebf1b0f9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/Dispatch.h>
#include <ATen/AccumulateType.h>
#include <ATen/hip/Exceptions.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/detail/FunctionTra... | 4d0946dafc6c8aebede9c44041cda57eebf1b0f9.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/Dispatch.h>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/Exceptions.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/detail/FunctionTraits.h>
#include <cmath>
#include <limits>
#ifndef AT_PER_OPERATOR_HEADERS
#include <... |
5129e9278ae37c25f82ac407ff0bf24bc71cd0d8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* This sample implements a separable convolution
* of a 2D image with an arbitrary filter.
*/
#include <time.h>
#include <stdio.h>
#include <stdlib.h>
//unsigned int radius;
#define radius 16
#define FILTER_LENGTH (2 * radius... | 5129e9278ae37c25f82ac407ff0bf24bc71cd0d8.cu | /*
* This sample implements a separable convolution
* of a 2D image with an arbitrary filter.
*/
#include <time.h>
#include <stdio.h>
#include <stdlib.h>
//unsigned int radius;
#define radius 16
#define FILTER_LENGTH (2 * radius + 1)
#define ABS(val) ((val)<0.0 ? (-(val)) : (val))
#define accuracy 6
#define ti... |
daaef4f47141a6e6c31c5f43cbd9a557f0bbb655.hip | // !!! This is a file automatically generated by hipify!!!
////////////////////////////////////////////////////////////////////////////////
// BSD 3-Clause License
//
// Copyright (c) 2021, NVIDIA Corporation
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modificatio... | daaef4f47141a6e6c31c5f43cbd9a557f0bbb655.cu | ////////////////////////////////////////////////////////////////////////////////
// BSD 3-Clause License
//
// Copyright (c) 2021, NVIDIA Corporation
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are... |
54ce57d3372c4497d3299262a0a51c9bf66e996c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@generated from zmergecg.cu normal z -> c, Fri Sep 11 ... | 54ce57d3372c4497d3299262a0a51c9bf66e996c.cu | /*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@generated from zmergecg.cu normal z -> c, Fri Sep 11 18:29:43 2015
@author Hartwig Anzt
*/
#include "common_magmasparse.h"
#define B... |
61434c843874ad8b09403ac062f999bf176e76c9.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <hiprand/hiprand_kernel.h>
#include "fcns.h"
#include <stdio.h>
#include <stdlib.h>
// Definition of Matrix Filter Function CPU
float MatFilter(const Matrix filter,const Matrix oldmat, Matrix n... | 61434c843874ad8b09403ac062f999bf176e76c9.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include <curand_kernel.h>
#include "fcns.h"
#include <stdio.h>
#include <stdlib.h>
// Definition of Matrix Filter Function CPU
float MatFilter(const Matrix filter,const Matrix oldmat, Matrix newmat)
{
// Load to device memory
Matrix d_filter;
d_filter.width = f... |
5ddec009e8a4da21d4268dad2e4234f31c9e35c9.hip | // !!! This is a file automatically generated by hipify!!!
/*!
* Copyright 2015-2019 by Contributors
* \file elementwise_metric.cc
* \brief evaluation metrics for elementwise binary or regression.
* \author Kailong Chen, Tianqi Chen
*
* The expressions like wsum == 0 ? esum : esum / wsum is used to handle empty ... | 5ddec009e8a4da21d4268dad2e4234f31c9e35c9.cu | /*!
* Copyright 2015-2019 by Contributors
* \file elementwise_metric.cc
* \brief evaluation metrics for elementwise binary or regression.
* \author Kailong Chen, Tianqi Chen
*
* The expressions like wsum == 0 ? esum : esum / wsum is used to handle empty dataset.
*/
#include <rabit/rabit.h>
#include <xgboost/met... |
93e0ce5e6e52a0edbb5938105dcadcb9b5a281a8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layers/unpooling_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void MaxUnpoolForward(const int ... | 93e0ce5e6e52a0edbb5938105dcadcb9b5a281a8.cu | #include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layers/unpooling_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void MaxUnpoolForward(const int nthreads, const Dtype* bottom_data,
const int num, const int channels, const int hei... |
91fcda51665dfd8a6359e024e1dbea6adf380016.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 "vec_testkernel.hip"
#include<chrono>
#include<iostream>
using na... | 91fcda51665dfd8a6359e024e1dbea6adf380016.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 "vec_testkernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{2... |
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