hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
70de18d38202ddb9d069dc73617adc34eef26526.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <math.h>
__global__ void reverse(int * a, int* b){
}
void print_array(int* array, int size){
int i = 0;
for(i; i < size; i++){
printf("%lf ",array[i]);
}
}
#define N 512
int main(void... | 70de18d38202ddb9d069dc73617adc34eef26526.cu | #include <stdio.h>
#include <math.h>
__global__ void reverse(int * a, int* b){
}
void print_array(int* array, int size){
int i = 0;
for(i; i < size; i++){
printf("%lf ",array[i]);
}
}
#define N 512
int main(void){
int size = 5*sizeof(int);
int d_in[5] = {100, 110, 200, 220, 300};
int * dev_in, d... |
fd54c71d7d12d7f6ffc18ed752f94c70035de5e4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
template <typename U, typename V>
constexp... | fd54c71d7d12d7f6ffc18ed752f94c70035de5e4.cu | /**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
template <typename U, typename V>
constexpr __host__ __device__ auto divUp(U a, V b) -> decltype(a + b) {
return (a + b - 1) / b... |
97b54acffd2a66642a4521bed5693a313ff5cdcc.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include <ctime>
#include <cfloat>
#include <algorithm>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <map>
#include <memory>
#include <random>
#include <sstream>
#include <string>
#inc... | 97b54acffd2a66642a4521bed5693a313ff5cdcc.cu |
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include <ctime>
#include <cfloat>
#include <algorithm>
#include <chrono>
#include <iomanip>
#include <iostream>
#include <map>
#include <memory>
#include <random>
#include <sstream>
#include <string>
#include <vector>
#include <cuda_runtime.h>
#include <device_l... |
d41c7e26c0feb65f857c65d76c4a4bc7b3576505.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2020 NVIDIA Corporation.
* Copyright (c) 2018-2020 Chris Choy (chrischoy@ai.stanford.edu).
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated do... | d41c7e26c0feb65f857c65d76c4a4bc7b3576505.cu | /*
* Copyright (c) 2020 NVIDIA Corporation.
* Copyright (c) 2018-2020 Chris Choy (chrischoy@ai.stanford.edu).
*
* 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, incl... |
29123146e0aff42b716ed002ac8bdb5376caa07c.hip | // !!! This is a file automatically generated by hipify!!!
#include <THHUNN/THHUNN.h>
#include <THHUNN/common.h>
#include <TH/THHalf.h>
#include <THH/THHNumerics.cuh>
#include <THH/THHThrustAllocator.cuh>
#include <THH/THHApply.cuh>
#include <thrust/fill.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>... | 29123146e0aff42b716ed002ac8bdb5376caa07c.cu | #include <THCUNN/THCUNN.h>
#include <THCUNN/common.h>
#include <TH/THHalf.h>
#include <THC/THCNumerics.cuh>
#include <THC/THCThrustAllocator.cuh>
#include <THC/THCApply.cuh>
#include <thrust/fill.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
#include <thrust/reduce.h>
#include <thrust/inner_product.... |
33072ee2939fd294ddc230cbe1ed05e4b159b5f7.hip | // !!! This is a file automatically generated by hipify!!!
#include "training/graph_group_async.h"
#include "kernels/tensor_operators.h"
namespace marian {
void AsyncGraphGroup::setScheduler(Ptr<Scheduler> scheduler) {
scheduler_ = scheduler;
// optimizer has to be registered last to see changes of learning rate... | 33072ee2939fd294ddc230cbe1ed05e4b159b5f7.cu | #include "training/graph_group_async.h"
#include "kernels/tensor_operators.h"
namespace marian {
void AsyncGraphGroup::setScheduler(Ptr<Scheduler> scheduler) {
scheduler_ = scheduler;
// optimizer has to be registered last to see changes of learning rate
scheduler_->registerTrainingObserver(scheduler_);
for... |
99d34a054654afbdfad50401b7dcb700b5cc3cc2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2014
@precisions normal z -> s d c
@author Theo Mar... | 99d34a054654afbdfad50401b7dcb700b5cc3cc2.cu | /*
-- MAGMA (version 1.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2014
@precisions normal z -> s d c
@author Theo Mary
*/
#include "common_magma.h"
#define NB 64
// each thread block does one NB x n blo... |
8647d95aa9a852a4811c4abf35cb06d767ffeda1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cudaCompress/PackInc.h>
#include <cassert>
#include <cudaCompress/tools/Operator.h>
#include <cudaCompress/cudaUtil.h>
#include <cudaCompress/util.h>
#include <cudaCompress/InstanceImpl.h>
#include <cudaCompress/redu... | 8647d95aa9a852a4811c4abf35cb06d767ffeda1.cu | #include <cudaCompress/PackInc.h>
#include <cassert>
#include <cudaCompress/tools/Operator.h>
#include <cudaCompress/cudaUtil.h>
#include <cudaCompress/util.h>
#include <cudaCompress/InstanceImpl.h>
#include <cudaCompress/reduce/reduce_app.cui>
#include <cudaCompress/scan/scan_app.cui>
namespace cudaCompress {
... |
94bcfab1194c054e17decfc15abfd71a9dea23c9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define BLOCK_SIZE 32
#define DATALEN_PER_BLOCK (BLOCK_SIZE * 2)
#include <stdio.h>
__global__ void reductionKernel(float *a, float *r)
{
int blocksz = blockDim.x;
int tid = threadIdx.x;
int bid = blockIdx.x;
int i... | 94bcfab1194c054e17decfc15abfd71a9dea23c9.cu | #define BLOCK_SIZE 32
#define DATALEN_PER_BLOCK (BLOCK_SIZE * 2)
#include <stdio.h>
__global__ void reductionKernel(float *a, float *r)
{
int blocksz = blockDim.x;
int tid = threadIdx.x;
int bid = blockIdx.x;
int i1 = DATALEN_PER_BLOCK * bid + tid;
int i2 = i1 + blocksz;
__shared__ float shar... |
a79b43fbc854a2196dc0c458789c4a1929cf3968.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* (C) Copyright 2020, 2021 IBM. All Rights Reserved.
*
* This code is licensed under the Apache License, Version 2.0. You may
* obtain a copy of this license in the LICENSE.txt file in the root directory
* of this source tr... | a79b43fbc854a2196dc0c458789c4a1929cf3968.cu | /**
* (C) Copyright 2020, 2021 IBM. All Rights Reserved.
*
* This code is licensed under the Apache License, Version 2.0. You may
* obtain a copy of this license in the LICENSE.txt file in the root directory
* of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
*
* Any modifications or derivati... |
678130344e8f5e19b88792a5f3eca7b925cba4c3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
* Copyright 2019 XGBoost contributors
*/
#include <thrust/copy.h>
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#include <thrust/iterator/counting_iterator.h>
#include <algorithm>
#include <bitset>
#i... | 678130344e8f5e19b88792a5f3eca7b925cba4c3.cu | /*!
* Copyright 2019 XGBoost contributors
*/
#include <thrust/copy.h>
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#include <thrust/iterator/counting_iterator.h>
#include <algorithm>
#include <bitset>
#include <string>
#include <sstream>
#include <set>
#include "xgboost/logging.h"
#include... |
71186b686907c68924e8268c4e96881f39f87d42.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2019 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 ... | 71186b686907c68924e8268c4e96881f39f87d42.cu | /* Copyright (c) 2019 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... |
87dcafdc0506a222ffba4999338a9639aa4b3413.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdexcept>
#include <cmath>
#include "find_block_size.cuh"
#include "../common/user_specified_structures.h"
#include "../common/cuda_error_check.cuh"
// This function does NOT guarantee the best block size. But it tries to come up with the best.
// ... | 87dcafdc0506a222ffba4999338a9639aa4b3413.cu | #include <stdexcept>
#include <cmath>
#include "find_block_size.cuh"
#include "../common/user_specified_structures.h"
#include "../common/cuda_error_check.cuh"
// This function does NOT guarantee the best block size. But it tries to come up with the best.
// Be aware block sizes rather than what this function chooses... |
cba0fea02ff9d7f9e9552697511761eb0cca3db1.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <GL/glut.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#define WIDTH 800
#define HEIGHT 600
int tmax = 100;
int *gpu_t;
int cpu_t[WIDTH*HEIGHT];
double center_x;
double center_y;
double center_dy;
double center_dx;... | cba0fea02ff9d7f9e9552697511761eb0cca3db1.cu | #include <stdio.h>
#include <GL/glut.h>
#include <cuda.h>
#include <cuda_runtime.h>
#define WIDTH 800
#define HEIGHT 600
int tmax = 100;
int *gpu_t;
int cpu_t[WIDTH*HEIGHT];
double center_x;
double center_y;
double center_dy;
double center_dx;
// int mandel(float, float, int);
void translate(int, int, double*, dou... |
eb908069c28d9cff9d39cbb2945fb48b3e4e9ded.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cfloat>
#include "cudarray/common.hpp"
#include "cudarray/nnet/pool_b01.hpp"
namespace cudarray {
// The implementations below are inspired by those found in the Caffe framework
template <typename T>
__global__ void max... | eb908069c28d9cff9d39cbb2945fb48b3e4e9ded.cu | #include <cfloat>
#include "cudarray/common.hpp"
#include "cudarray/nnet/pool_b01.hpp"
namespace cudarray {
// The implementations below are inspired by those found in the Caffe framework
template <typename T>
__global__ void max_pool_b01(int n_threads, const T* imgs,
int img_h, int img_w, int poolout_h, int poo... |
ea49c6d2ac6b5814251ef1c4647d0803b175d374.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
__global__ void matrix_multiply(const int* d_a, const int* d_b, int* d_c, const int n)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int temp = 0... | ea49c6d2ac6b5814251ef1c4647d0803b175d374.cu | #include <iostream>
__global__ void matrix_multiply(const int* d_a, const int* d_b, int* d_c, const int n)
{
int row = blockIdx.y * blockDim.y + threadIdx.y;
int col = blockIdx.x * blockDim.x + threadIdx.x;
int temp = 0;
if ((row < n) && (col < n)) {
for (int k = 0; k < n; k++) {
te... |
71c4fbd05d66455c7c89ce0e2990fa37d8ee7a4b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019, NVIDIA CORPORATION. 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 dea... | 71c4fbd05d66455c7c89ce0e2990fa37d8ee7a4b.cu | /*
* Copyright (c) 2019, NVIDIA CORPORATION. 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... |
9cfea13b6a3f6eea0f1745592dca36e37d10518a.hip | // !!! This is a file automatically generated by hipify!!!
/*
============================================================================
Name : LidarObstacleVisualizer.cpp
Author : Niklas Bergh
Version :
Copyright :
Description : Program identifies and displays obstacles based on Lidar data
=... | 9cfea13b6a3f6eea0f1745592dca36e37d10518a.cu | /*
============================================================================
Name : LidarObstacleVisualizer.cpp
Author : Niklas Bergh
Version :
Copyright :
Description : Program identifies and displays obstacles based on Lidar data
============================================================... |
52751b02369970687a967f2f53ee34148bbad30c.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... | 52751b02369970687a967f2f53ee34148bbad30c.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... |
27e99d3d95f421aba5e8008205b3f7037a0b066b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
__host__ __device__ float get_diff(float* dest, float* bigtex, int bsize, int cx, node_t p, node_t q)
{
//int alln = bigwidth/(bsize*bsize);
float sum=0;
int count=0;
int x0=p.x, y0=p.y;
int x1=q.x, y1=q.y;
b... | 27e99d3d95f421aba5e8008205b3f7037a0b066b.cu |
__host__ __device__ float get_diff(float* dest, float* bigtex, int bsize, int cx, node_t p, node_t q)
{
//int alln = bigwidth/(bsize*bsize);
float sum=0;
int count=0;
int x0=p.x, y0=p.y;
int x1=q.x, y1=q.y;
bool steep = ( abs(y1 - y0) > abs(x1 - x0) );
if (steep)
{
swap(x0, y0);
... |
d6d282acdfd78b1300cedc65b26534ca329829a9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
extern "C" {
#ifndef REAL
#define REAL float
#endif
#ifndef CAST
#define CAST(fun) fun ## f
#endif
#ifndef REAL2o3
#define REAL2o3 (REAL)0.6666666666666667
#endif
#ifndef REAL3o2
#define REAL3o2 (REAL)1.5
#... | d6d282acdfd78b1300cedc65b26534ca329829a9.cu | #include "includes.h"
extern "C" {
#ifndef REAL
#define REAL float
#endif
#ifndef CAST
#define CAST(fun) fun ## f
#endif
#ifndef REAL2o3
#define REAL2o3 (REAL)0.6666666666666667
#endif
#ifndef REAL3o2
#define REAL3o2 (REAL)1.5
#endif
... |
f01e61cdb754207121697d13b5e71173004e1480.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2006 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO USER:
*
* This source code is subject to NVIDIA ownership rights under U.S. and
* international Copyright laws.
*
* This software and the infor... | f01e61cdb754207121697d13b5e71173004e1480.cu | /*
* Copyright 1993-2006 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO USER:
*
* This source code is subject to NVIDIA ownership rights under U.S. and
* international Copyright laws.
*
* This software and the information contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provid... |
e34092c60e6a37439ced48e83e81ff717315aca8.hip | // !!! This is a file automatically generated by hipify!!!
/*
* CUDA blur
* Kevin Yuh, 2014
* Revised by Nailen Matschke, 2016
* Revised by Loko Kung, 2018
*/
#include "blur.cuh"
#include <cstdio>
#include <hip/hip_runtime.h>
#include "cuda_header.cuh"
/*
* NOTE: You can use this macro to easily check cuda ... | e34092c60e6a37439ced48e83e81ff717315aca8.cu | /*
* CUDA blur
* Kevin Yuh, 2014
* Revised by Nailen Matschke, 2016
* Revised by Loko Kung, 2018
*/
#include "blur.cuh"
#include <cstdio>
#include <cuda_runtime.h>
#include "cuda_header.cuh"
/*
* NOTE: You can use this macro to easily check cuda error codes
* and get more information.
*
* Modified fro... |
67152fe4a8509da915a1790f8e2f5bdbea838462.hip | // !!! This is a file automatically generated by hipify!!!
/**
*
* Date 03/07/2009
* ====
*
* Authors Vincent Garcia
* ======= Eric Debreuve
* Michel Barlaud
*
* Description Given a reference point set and a query point set, the program returns
* =========== firt... | 67152fe4a8509da915a1790f8e2f5bdbea838462.cu | /**
*
* Date 03/07/2009
* ====
*
* Authors Vincent Garcia
* ======= Eric Debreuve
* Michel Barlaud
*
* Description Given a reference point set and a query point set, the program returns
* =========== firts the distance between each query point and its k nearest n... |
3a2badbd9dc682c91347d394741bad0c9e43c45e.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 <iostream>
#include "../../hamc/hamc_cpu_code.c"
#include "../../hamc/MultiplyMatrixTesting.cu"
#define T... | 3a2badbd9dc682c91347d394741bad0c9e43c45e.cu | #include <cuda_runtime.h>
#include <stdlib.h>
//#include <wb.h>
#include <stdint.h>
#include <ctype.h>
#include <stdio.h>
#include <unistd.h>
#include <iostream>
#include "../../hamc/hamc_cpu_code.c"
#include "../../hamc/MultiplyMatrixTesting.cu"
#define TILE_WIDTH 16
#define CUDA_CHECK(ans) ... |
b3c09879b72a9d15b8aeab3a5d367ecf2f8fbdac.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/******************************************************************************
* Copyright 2018 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this... | b3c09879b72a9d15b8aeab3a5d367ecf2f8fbdac.cu | /******************************************************************************
* Copyright 2018 The Apollo 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
... |
67163f734b8f1ecc00d73f68022dc54556981c10.hip | // !!! This is a file automatically generated by hipify!!!
// File: force.cu
// C/Fortran interface to GPU port of force.F.
// includes standard headers
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// includes cuda headers
#include <hip/hip_runtime.h>
// includes project headers
#include "cuda_globals.h"... | 67163f734b8f1ecc00d73f68022dc54556981c10.cu | // File: force.cu
// C/Fortran interface to GPU port of force.F.
// includes standard headers
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// includes cuda headers
#include <cuda_runtime.h>
// includes project headers
#include "cuda_globals.h"
#include "Operator.h"
#include "cuda_helpers.h"
/***********... |
43fabef118eb2f1e98520415bdc7169193e3739f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <math.h>
#define n 1000
#define MAX_GRIDSIZE 1
__device__ float __expf(float x);
__global__ void expMass(float *A,float *x, int arraySize)
{
int index = (blockIdx.y... | 43fabef118eb2f1e98520415bdc7169193e3739f.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <math.h>
#define n 1000
#define MAX_GRIDSIZE 1
__device__ float __expf(float x);
__global__ void expMass(float *A,float *x, int arraySize)
{
int index = (blockIdx.y*MAX_GRIDSIZE + blockIdx.x)*blockDim.x + threadIdx.x;
if (ind... |
1b7980db3f0dcb903a2d207dfbaeb9010f97eb92.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <duda/kernels/eye.hpp>
namespace duda
{
namespace detail
{
template <typename T>
__global__ void eye_kernel(T* const data, const int dim)
{
const int i = blockDim.x * blockIdx.x + threadIdx.x;
const int j = block... | 1b7980db3f0dcb903a2d207dfbaeb9010f97eb92.cu | #include <duda/kernels/eye.hpp>
namespace duda
{
namespace detail
{
template <typename T>
__global__ void eye_kernel(T* const data, const int dim)
{
const int i = blockDim.x * blockIdx.x + threadIdx.x;
const int j = blockDim.y * blockIdx.y + threadIdx.y;
if (i < dim && j < dim)
{
const int i... |
1997d064a0199ab5873671fcb547028868c4993c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* c-ray_task_sgpu.cu
*
* Created on: Mar 24, 2017
* Author: chao
*/
#include "c-ray_task_mgpu.h"
#include "c-ray_kernel_v2.h"
#include "../../../common/helper_err.h"
__device__ global_vars g_vars_d;
__device__ vec3_... | 1997d064a0199ab5873671fcb547028868c4993c.cu | /*
* c-ray_task_sgpu.cu
*
* Created on: Mar 24, 2017
* Author: chao
*/
#include "c-ray_task_mgpu.h"
#include "c-ray_kernel_v2.h"
#include "../../../common/helper_err.h"
__device__ global_vars g_vars_d;
__device__ vec3_t lights_d[MAX_LIGHTS];
__device__ vec2_t urand_d[NRAN];
__device__ int irand_d[NRAN];... |
885f694e2ce46ca37185ac51540a0d163f2fd00e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
extern "C" {
//
__global__ void histogram(unsigned char *dataIn, int *hist)
{
int threadIndex = threadIdx.x + threadIdx.y * blockDim.x;
int blockIndex = blockIdx.x + blockIdx.y * gridDim.x;
int i... | 885f694e2ce46ca37185ac51540a0d163f2fd00e.cu | extern "C" {
//灰度直方图统计
__global__ void histogram(unsigned char *dataIn, int *hist)
{
int threadIndex = threadIdx.x + threadIdx.y * blockDim.x;
int blockIndex = blockIdx.x + blockIdx.y * gridDim.x;
int index = threadIndex + blockIndex * blockDim.x * blockDim.y;
atomicAdd(&his... |
645f0cbf33a96bea010d195dc26bd0be8092e725.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 "KerInOutInterpolateTime.cu"
#include<chrono>
#include<iostream>
... | 645f0cbf33a96bea010d195dc26bd0be8092e725.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 "KerInOutInterpolateTime.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{... |
437f81b721ef8dee253920f05fea24a1e5d8e938.hip | // !!! This is a file automatically generated by hipify!!!
/* kernel.cu */
#include <iostream>
#include <cstdlib>
#include <cassert>
#include <algorithm>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
template <int BlockSize>
__global__ void MultiplyMatrix(
float* matC, float* matA, float* m... | 437f81b721ef8dee253920f05fea24a1e5d8e938.cu |
/* kernel.cu */
#include <iostream>
#include <cstdlib>
#include <cassert>
#include <algorithm>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
template <int BlockSize>
__global__ void MultiplyMatrix(
float* matC, float* matA, float* matB,
int colA, int colB, int colC)
{
/* 各ブロックでは, 行列Cの各... |
86c21893dfc69bc802231f33e63b2bd76eadd329.hip | // !!! This is a file automatically generated by hipify!!!
/**
* @copyright (c) 2012- King Abdullah University of Science and
* Technology (KAUST). All rights reserved.
**/
/**
* @file src/blas_l2/sgemm_mgpu.cu
* KBLAS is a high performance CUDA library for subset of BLAS
* and LAPACK r... | 86c21893dfc69bc802231f33e63b2bd76eadd329.cu | /**
* @copyright (c) 2012- King Abdullah University of Science and
* Technology (KAUST). All rights reserved.
**/
/**
* @file src/blas_l2/sgemm_mgpu.cu
* KBLAS is a high performance CUDA library for subset of BLAS
* and LAPACK routines optimized for NVIDIA GPUs.
* KBLAS is provided by ... |
05591e73cc67713d651043e7ea72653a7f61e7fc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Copyright 2021-2022 Huawei Technologies Co., Ltd
*
* 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 Licens... | 05591e73cc67713d651043e7ea72653a7f61e7fc.cu | /**
* Copyright 2021-2022 Huawei Technologies Co., Ltd
*
* 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 applicabl... |
b3724be6fbf4ae80cf0c3fb98e10251fd0a3b86e.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright 2016 Mikko Ronkainen <firstname@mikkoronkainen.com>
// License: MIT, see the LICENSE file.
#include "Precompiled.h"
#ifdef USE_ROCM
#include <hip/hip_runtime.h>
#include "Utils/CudaUtils.h"
#endif
#include "Core/Common.h"
#include "Utils/CudaAl... | b3724be6fbf4ae80cf0c3fb98e10251fd0a3b86e.cu | // Copyright © 2016 Mikko Ronkainen <firstname@mikkoronkainen.com>
// License: MIT, see the LICENSE file.
#include "Precompiled.h"
#ifdef USE_CUDA
#include <cuda_runtime.h>
#include "Utils/CudaUtils.h"
#endif
#include "Core/Common.h"
#include "Utils/CudaAlloc.h"
#include "Utils/ColorGradient.h"
#include "Core/Scene.... |
fc62264bbcbe21eff81e7cb279eb0c6f928562dd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void SetMatrixVauleMinMaxY( float* matrix, int cols, int size, int id_min, int id_max, float value)
{
int id = blockDim.x*blockIdx.y*gridDim.x + blockDim.x*blockIdx.x + threadIdx.x;
int id_row = id /... | fc62264bbcbe21eff81e7cb279eb0c6f928562dd.cu | #include "includes.h"
__global__ void SetMatrixVauleMinMaxY( float* matrix, int cols, int size, int id_min, int id_max, float value)
{
int id = blockDim.x*blockIdx.y*gridDim.x + blockDim.x*blockIdx.x + threadIdx.x;
int id_row = id / cols;
if (id_row >= id_min && id_row <= id_max && id < size)
matrix[id] = value;
} |
739165515a696f3704edc8232999f8f2619ed1aa.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 "sobelEdgeDetectionWithRegisters.cu"
#include<chrono>
#include<io... | 739165515a696f3704edc8232999f8f2619ed1aa.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 "sobelEdgeDetectionWithRegisters.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = ... |
bcd87235775156ad86593edb30cfba074c1b12bb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019-2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
... | bcd87235775156ad86593edb30cfba074c1b12bb.cu | /*
* Copyright (c) 2019-2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... |
4404151defecef6992aa32bd2508d80ac2badb02.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdlib.h>
#include <sys/stat.h>
#include <dirent.h>
#include <string.h>
#include <stdio.h>
#include <time.h>
#include <string>
//#include <pthread.h>
//#include "thpool.h"
struct sol... | 4404151defecef6992aa32bd2508d80ac2badb02.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdlib.h>
#include <sys/stat.h>
#include <dirent.h>
#include <string.h>
#include <stdio.h>
#include <time.h>
#include <string>
//#include <pthread.h>
//#include "thpool.h"
struct solver { // The variables in the struct are described in the allo... |
b0b74b74ab0de2bf3089eef13d03a9a92c289052.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <time.h>
int main() {
float* d_a;
// my array initialized
initializeArray1D(d_a, ARR_LG, 420);
#if ENABLE_GPU
// GPU Timing variables
hipEvent_t start_g_data, stop_g_data;
hipEvent_t start_g_kernel, sto... | b0b74b74ab0de2bf3089eef13d03a9a92c289052.cu | #include <time.h>
int main() {
float* d_a;
// my array initialized
initializeArray1D(d_a, ARR_LG, 420);
#if ENABLE_GPU
// GPU Timing variables
cudaEvent_t start_g_data, stop_g_data;
cudaEvent_t start_g_kernel, stop_g_kernel;
float elapsed_g_data, elapsed_g_kernel;
// <set stuff up not... |
313b461aee4568f34c75f9cbef149fd928a9f57c.hip | // !!! This is a file automatically generated by hipify!!!
#include <GL/glut.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <stdio.h>
#include <math.h>
#include <hip/hip_runtime.h>
//
// Constantes para OpenGL
//
#define KEY_ESC 27
#define ANCHO 1920
#define ALTO 1080
#define false 0
#define true... | 313b461aee4568f34c75f9cbef149fd928a9f57c.cu | #include <GL/glut.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <stdio.h>
#include <math.h>
#include <cuda.h>
//
// Constantes para OpenGL
//
#define KEY_ESC 27
#define ANCHO 1920
#define ALTO 1080
#define false 0
#define true 1
//
// Constantes para Algoritmo de gravitacion
//
#define PI (3.14... |
2ef2fb781a7b33870d4c8e6961265cafa5e3785f.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 "kernSmooth.cu"
#include<chrono>
#include<iostream>
using namespa... | 2ef2fb781a7b33870d4c8e6961265cafa5e3785f.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 "kernSmooth.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24... |
b8a87af76b77993f158898cc1142b78a7a26a764.hip | // !!! This is a file automatically generated by hipify!!!
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/Dispatch.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/native/TensorFactories.h>
#include <ATen/hip/cub.h>
#include <ATen/native/hip/Randperm.cuh>
#ifndef AT_PER_OPERA... | b8a87af76b77993f158898cc1142b78a7a26a764.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/Dispatch.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/native/TensorFactories.h>
#include <ATen/cuda/cub.h>
#include <ATen/native/cuda/Randperm.cuh>
#ifndef AT_PER_OPERATOR_HEADERS
#include <ATen/Functions.h>
#include <ATen/... |
02ec52b4cb20068918791a8a1ad6fe54c6ea2875.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Created by jiashuai on 17-9-21.
//
#include "thundersvm/kernel/smo_kernel.h"
#include <thrust/sort.h>
#include <thrust/system/hip/detail/par.h>
namespace svm_kernel {
template<typename T>
__device__ int get_block_min... | 02ec52b4cb20068918791a8a1ad6fe54c6ea2875.cu | //
// Created by jiashuai on 17-9-21.
//
#include "thundersvm/kernel/smo_kernel.h"
#include <thrust/sort.h>
#include <thrust/system/cuda/detail/par.h>
namespace svm_kernel {
template<typename T>
__device__ int get_block_min(const T *values, int *index) {
int tid = threadIdx.x;
index[tid] = tid... |
0ae3d4a0190bcd50adaebc9f854a12b9a46d8653.hip | // !!! This is a file automatically generated by hipify!!!
#include "utilities.h"
#include "blas.h"
#include "kernels.h"
double flopCounter(int M, int N, int numModels, int *hNVars) {
double flop = 0;
// r = y - mu
flop += (double) M * (double) numModels;
// c = X' * r
flop += 2.0 * (double) M * (double) N * (dou... | 0ae3d4a0190bcd50adaebc9f854a12b9a46d8653.cu | #include "utilities.h"
#include "blas.h"
#include "kernels.h"
double flopCounter(int M, int N, int numModels, int *hNVars) {
double flop = 0;
// r = y - mu
flop += (double) M * (double) numModels;
// c = X' * r
flop += 2.0 * (double) M * (double) N * (double) numModels;
// abs(c)
flop += (double) N * (double) n... |
6a6d066184b819331aad076c3b9af7a2e5711992.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*----------------------- BEGIN kppa_CUDA_rates.cu BEGIN ----------------------*/
/* @file kppa_CUDA_rates.cu */
/* @author charlesj ... | 6a6d066184b819331aad076c3b9af7a2e5711992.cu | /*----------------------- BEGIN kppa_CUDA_rates.cu BEGIN ----------------------*/
/* @file kppa_CUDA_rates.cu */
/* @author charlesj */
/* @date 2015-07-06 14:41:44.647816 ... |
36b5f61672d01f63c2d63c475a45446e95d8f0de.hip | // !!! This is a file automatically generated by hipify!!!
//a reduction on a single MP with a little bit 'o ugly
//at the end to advance the wavefront
//WJB 03/11
#include <hip/hip_runtime.h>
#include <stdio.h>
//__constant__ int sizeTheta;
//__constant__ int sizePhi;
//
__global__ void advanceWave(float *devRedu... | 36b5f61672d01f63c2d63c475a45446e95d8f0de.cu | //a reduction on a single MP with a little bit 'o ugly
//at the end to advance the wavefront
//WJB 03/11
#include <cuda.h>
#include <stdio.h>
//__constant__ int sizeTheta;
//__constant__ int sizePhi;
//
__global__ void advanceWave(float *devReductionKeysIn,
float *devReductionValuesIn,
float *devReductionKeys... |
af449cda61e4872dbb914bae43c950a03c947a62.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* camera.cu - Copyright 2019 Utrecht University
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
... | af449cda61e4872dbb914bae43c950a03c947a62.cu | /* camera.cu - Copyright 2019 Utrecht University
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 agr... |
b4660e57ee47d2ada8b977aa46a31c6f67b66e45.hip | // !!! This is a file automatically generated by hipify!!!
// generated by gen_batch_cuda_conv_bias_kern_impls.py
#include "../batch_conv_bias_int8_gemm_ncdiv4hw4.cuinl"
template void megdnn::cuda::batch_conv_bias::do_batch_conv_bias_int8_gemm_ncdiv4hw4<
PerChannelBiasVisitor,
IConvEpilogue<
... | b4660e57ee47d2ada8b977aa46a31c6f67b66e45.cu | // generated by gen_batch_cuda_conv_bias_kern_impls.py
#include "../batch_conv_bias_int8_gemm_ncdiv4hw4.cuinl"
template void megdnn::cuda::batch_conv_bias::do_batch_conv_bias_int8_gemm_ncdiv4hw4<
PerChannelBiasVisitor,
IConvEpilogue<
Activation<megdnn::param_enumv::BatchConvBias::Nonlin... |
100baf0863528844a4c00e0ec96f1d98747dfca4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void ZeroMeanImpl(float* solutions, int rowSize, int matCount) {
const int matricesPerBlock = BLOCK_SIZE / rowSize;
const int matrixIdx = blockIdx.x * matricesPerBlock + threadIdx.x / rowSize;
cons... | 100baf0863528844a4c00e0ec96f1d98747dfca4.cu | #include "includes.h"
__global__ void ZeroMeanImpl(float* solutions, int rowSize, int matCount) {
const int matricesPerBlock = BLOCK_SIZE / rowSize;
const int matrixIdx = blockIdx.x * matricesPerBlock + threadIdx.x / rowSize;
const int tid = threadIdx.x;
const int col = threadIdx.x & (rowSize - 1);
const int inBlockO... |
346c1a196d50ff6355023d8b76ca84144f28d3d9.hip | // !!! This is a file automatically generated by hipify!!!
#include <rocblas.h>
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <pybind11/numpy.h>
#include <pybind11/pybind11.h>
#include <unistd.h>
#include <algorithm>
#include <cmath>
#include <cstdint>
#include <fstream>
#include <iostream>
#inclu... | 346c1a196d50ff6355023d8b76ca84144f28d3d9.cu | #include <cublas_v2.h>
#include <cuda.h>
#include <curand.h>
#include <pybind11/numpy.h>
#include <pybind11/pybind11.h>
#include <unistd.h>
#include <algorithm>
#include <cmath>
#include <cstdint>
#include <fstream>
#include <iostream>
#include <random>
#include <sstream>
#include "dataloader.h"
#include "dataset.h"
... |
abe5b1d9f5c522b0c778e134fe3f8de554dada4c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "kernels/cpu/dragon/bbox_utils.h"
#include "core/ieee754_float.h"
#include "kernels/common/third/dragon.h"
#ifdef TS_USE_CUDA_FP16
#include "kernels/gpu/cudax_fp16_math.h"
#endif
#include "kernels/gpu/gpu_kernel.h"
names... | abe5b1d9f5c522b0c778e134fe3f8de554dada4c.cu | #include "kernels/cpu/dragon/bbox_utils.h"
#include "core/ieee754_float.h"
#include "kernels/common/third/dragon.h"
#ifdef TS_USE_CUDA_FP16
#include "kernels/gpu/cudax_fp16_math.h"
#endif
#include "kernels/gpu/gpu_kernel.h"
namespace ts {
namespace dragon {
namespace rcnn {
/******************** ... |
3decdc8006fb41ccc6ae26f41d1ad3343edd558e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Raytracer.h"
__device__ Intersection GetIntersection(SceneData data, Ray ray, float minInt, float maxInt) {
Intersection closestInt;
glm::vec3 d_model;
glm::vec3 p0_model;
closestInt.T = maxInt;
c... | 3decdc8006fb41ccc6ae26f41d1ad3343edd558e.cu | #include "Raytracer.h"
__device__ Intersection GetIntersection(SceneData data, Ray ray, float minInt, float maxInt) {
Intersection closestInt;
glm::vec3 d_model;
glm::vec3 p0_model;
closestInt.T = maxInt;
closestInt.ClosestShape = -1;
for (int i = 0; i < data.NumShapes; i++) {
... |
19c45426787454859236ced02012062c44271e61.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Useful functions for the PVM that are specific to the tracker
// derivative and error calculation
__global__ void der_and_error_kernel(double *A, double *B, double *C,
unsigned int L)
{
unsigned int stride = blockDim.x * grid... | 19c45426787454859236ced02012062c44271e61.cu | // Useful functions for the PVM that are specific to the tracker
// derivative and error calculation
__global__ void der_and_error_kernel(double *A, double *B, double *C,
unsigned int L)
{
unsigned int stride = blockDim.x * gridDim.x;
unsigned int start = threadIdx.x + blockIdx.x * blockDim.x;
for (unsigned int ... |
3fbd19fde277b4dab49d6f5001fd538d4bdd22ca.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gpu_cuckoo.cuh"
#include "macros.h"
#include <random>
#include <thrust/device_ptr.h>
#include <thrust/copy.h>
#include <thrust/gather.h>
#include <thrust/scan.h>
#include <thrust/device_vector.h>
__device__ int hashFuncti... | 3fbd19fde277b4dab49d6f5001fd538d4bdd22ca.cu | #include "gpu_cuckoo.cuh"
#include "macros.h"
#include <random>
#include <thrust/device_ptr.h>
#include <thrust/copy.h>
#include <thrust/gather.h>
#include <thrust/scan.h>
#include <thrust/device_vector.h>
__device__ int hashFunctionDev(int value, int size, int num)
{
return (0xFAB011991 ^ num + num * value) % (size+... |
9e0abe2324ac08d2553d1ef953ba4f7b673dfa51.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "KDE.h"
__device__ float epanechnikowKernelCUDA(float x)
{
float res = 0;
if(x <= 1 && x >= -1)
{
res = 3*(1-x*x)/4;
}
return res;
}
__device__ float uniformKernelCUDA(float x)
{
float res = 0;
if(x <= 1 && x >= ... | 9e0abe2324ac08d2553d1ef953ba4f7b673dfa51.cu | #include "KDE.h"
__device__ float epanechnikowKernelCUDA(float x)
{
float res = 0;
if(x <= 1 && x >= -1)
{
res = 3*(1-x*x)/4;
}
return res;
}
__device__ float uniformKernelCUDA(float x)
{
float res = 0;
if(x <= 1 && x >= -1)
{
res = 1.0/2;
}
return res;
}
__device__ float gaussianKernelCUDA(float x)
{
... |
e12338d2846b776251af24b590b6d7d49eb37a0a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Device.h"
#include <iostream>
#include "MonteCarlo.h"
using std::cout;
using std::endl;
extern __global__ void monteCarlo(hiprandState_t* tabDevGenerator, int nbFleches, float m,int* ptrDevNx);
extern __global__ void set... | e12338d2846b776251af24b590b6d7d49eb37a0a.cu | #include "Device.h"
#include <iostream>
#include "MonteCarlo.h"
using std::cout;
using std::endl;
extern __global__ void monteCarlo(curandState* tabDevGenerator, int nbFleches, float m,int* ptrDevNx);
extern __global__ void setup_kernel_rand(curandState* tabDevGenerator, int deviceId);
MonteCarlo::MonteCarlo(int nbF... |
bf8736444d31e60fe602195adc52673b5296bbcd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef USE_ROCM
#include "dragon/core/context_cuda.h"
#include "dragon/utils/op_kernels.h"
namespace dragon {
namespace kernel {
namespace {
template <typename T>
__global__ void
_NesterovUpdate(const int nthreads, const T lr, ... | bf8736444d31e60fe602195adc52673b5296bbcd.cu | #ifdef USE_CUDA
#include "dragon/core/context_cuda.h"
#include "dragon/utils/op_kernels.h"
namespace dragon {
namespace kernel {
namespace {
template <typename T>
__global__ void
_NesterovUpdate(const int nthreads, const T lr, const T momentum, T* g, T* m);
template <>
__global__ void _NesterovUpdate<float>(
... |
7463dfc20f4e925d576773f6525f18fdf8a1b1c1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "multi1.h"
__global__ void k1_incr(float *data, float val) {
data[threadIdx.x] += val;
}
| 7463dfc20f4e925d576773f6525f18fdf8a1b1c1.cu | #include "multi1.h"
__global__ void k1_incr(float *data, float val) {
data[threadIdx.x] += val;
}
|
6e3e05ca0327b20259dfeb6b62667e5e2f765ed2.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 matrixSubScalarInverse(double *a, double b, double *c, int cr, int cc){
int x = blockIdx.x * blockDim.x + threadIdx.x; // co... | 6e3e05ca0327b20259dfeb6b62667e5e2f765ed2.cu | //
// Created by root on 23/03/2020.
//
#include "../Matrix.cuh"
#include <iostream>
__global__ void matrixSubScalarInverse(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){
... |
1cee557fdcf1c17f1aeeb6e44c56ccbd6e1fb90f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
__global__ void kernel_sumar(int *a, int *b, int *c, int *resultado)
/*
Guarda en resultado la suma de a + b + c.
*/
{
*resultado = *a + *b + *c;
}
void sumar_en_cuda(in... | 1cee557fdcf1c17f1aeeb6e44c56ccbd6e1fb90f.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
__global__ void kernel_sumar(int *a, int *b, int *c, int *resultado)
/*
Guarda en resultado la suma de a + b + c.
*/
{
*resultado = *a + *b + *c;
}
void sumar_en_cuda(int a, int b, int c, int* resultado)
{
// Variables de la gráfi... |
f67226e084f68d0de7459a2a317912ce9a80907b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2019
@precisions normal z -> c d s
*/
#include "magmasparse_... | f67226e084f68d0de7459a2a317912ce9a80907b.cu | /*
-- MAGMA (version 2.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2019
@precisions normal z -> c d s
*/
#include "magmasparse_internal.h"
#define BLOCK_SIZE 512
// every multiprocessor handles one BCSR-block to ... |
19c10726bba9d47b7e91ac63bc97e5dd3267c598.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include "CNNConvLayer.h"
using namespace std;
// This is the CPU version, please don't modify it
void convLayerCPU()
{
// declarations for bunch of indexing parameters
int fn, sli, fmy, fmx, y, x;
int ifmy, ... | 19c10726bba9d47b7e91ac63bc97e5dd3267c598.cu | #include <iostream>
#include "CNNConvLayer.h"
using namespace std;
// This is the CPU version, please don't modify it
void convLayerCPU()
{
// declarations for bunch of indexing parameters
int fn, sli, fmy, fmx, y, x;
int ifmy, ifmx, ofmy, ofmx;
int filtIdx, inNeuIdx, outNeuIdx, outIdx;
int filtVol = FMDEPTH * ... |
66a7f1c0c639d2e24f2a7b2c105763d0af5f6d8b.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
... | 66a7f1c0c639d2e24f2a7b2c105763d0af5f6d8b.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... |
b7f64a676fe8a4704131586a50ce0f8175486b50.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <fstream>
#include <vector>
#include <string>
#include <sstream>
using namespace std;
#define gpuErrchk(ans){gpuAssert((ans), __FILE__, __LINE__);}
inline vo... | b7f64a676fe8a4704131586a50ce0f8175486b50.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <fstream>
#include <vector>
#include <string>
#include <sstream>
using namespace std;
#define gpuErrchk(ans){gpuAssert((ans), __FILE__, __LINE__);}
inline void gpuAssert(cudaError_t code, const char *file, int line, boo... |
70765769cdef20968e51efdabeb5ce903e37eabc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 2014 Nervana Systems Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the... | 70765769cdef20968e51efdabeb5ce903e37eabc.cu | /*
* Copyright 2014 Nervana Systems Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required ... |
915e4f9b3daf014a8d467e215209f41eafd36fcc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
All modification made by Intel Corporation: 2016 Intel Corporation
All contributions by the University of California:
Copyright (c) 2014, 2015, The Regents of the University of California (Regents)
All rights reserved.
All oth... | 915e4f9b3daf014a8d467e215209f41eafd36fcc.cu | /*
All modification made by Intel Corporation: © 2016 Intel Corporation
All contributions by the University of California:
Copyright (c) 2014, 2015, The Regents of the University of California (Regents)
All rights reserved.
All other contributions:
Copyright (c) 2014, 2015, the respective contributors
All rights rese... |
17f3c38cc1e295a79039bc3f0643ec5078591af8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2009-2021 The Regents of the University of Michigan
// This file is part of the HOOMD-blue project, released under the BSD 3-Clause License.
// Maintainer: mphoward
/*!
* \file mpcd/CellListGPU.cu
* \brief Defin... | 17f3c38cc1e295a79039bc3f0643ec5078591af8.cu | // Copyright (c) 2009-2021 The Regents of the University of Michigan
// This file is part of the HOOMD-blue project, released under the BSD 3-Clause License.
// Maintainer: mphoward
/*!
* \file mpcd/CellListGPU.cu
* \brief Defines GPU functions and kernels used by mpcd::CellListGPU
*/
#include "CellListGPU.cuh"
... |
8fc1f9f7c52eee9f7b8d495def19fc34781f3057.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.6.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2015
@author Stan Tomov
@generated from zgemv_... | 8fc1f9f7c52eee9f7b8d495def19fc34781f3057.cu | /*
-- MAGMA (version 1.6.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2015
@author Stan Tomov
@generated from zgemv_conjv.cu normal z -> d, Fri Jan 30 19:00:08 2015
*/
#include "common_magma.h"
#include "... |
48e89ddf2f0f40f93b09c1933ba4e66a94509437.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2019 Yan Yan
//
// 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.apac... | 48e89ddf2f0f40f93b09c1933ba4e66a94509437.cu | // Copyright 2019 Yan Yan
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writ... |
8d85ce752c90eeb0f3c0afb1cb5ecb2d8fdc08df.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you... | 8d85ce752c90eeb0f3c0afb1cb5ecb2d8fdc08df.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
d80c67baaec916f42bb689ed58d8f67a2805130d.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (C) 2015 by Fernando Amat
* See license.txt for full license and copyright notice.
*
* Authors: Fernando Amat
* commonCUDA.cu
*
* Created on: June 5th, 2015
* Author: Fernando Amat
*
* \brief common functions and constants for CUDA
*/
#... | d80c67baaec916f42bb689ed58d8f67a2805130d.cu | /*
* Copyright (C) 2015 by Fernando Amat
* See license.txt for full license and copyright notice.
*
* Authors: Fernando Amat
* commonCUDA.cu
*
* Created on: June 5th, 2015
* Author: Fernando Amat
*
* \brief common functions and constants for CUDA
*/
#include <cstdint>
#include <algorithm>
#include <iostream>
... |
36cd937df9e8e7ec974669ed7ce672f61cacc75b.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <cuda_device_runtime_api.h>
#include "device_launch_parameters.h"
#include "kernels.h"
#include "tests.h"
#include <stdio.h>
#include "const.h"
// some defines to avoid repetition
#define IF_LA... | 36cd937df9e8e7ec974669ed7ce672f61cacc75b.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include <cuda_device_runtime_api.h>
#include "device_launch_parameters.h"
#include "kernels.h"
#include "tests.h"
#include <stdio.h>
#include "const.h"
// some defines to avoid repetition
#define IF_LAST if(id == (warpSize - 1))
#define WARP_OPERATION_DOWN(OP, NAME) \
__in... |
3fbf4b9f2cf6f64e2e2c9b13a09635b1b9fe7a6c.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2020-2022, 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.o... | 3fbf4b9f2cf6f64e2e2c9b13a09635b1b9fe7a6c.cu | /*
* Copyright (c) 2020-2022, 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... |
ca30eb22977f21309456233e1168276a5b6c4df0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Copyright 2015 Kyuyeon Hwang (kyuyeon.hwang@gmail.com)
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... | ca30eb22977f21309456233e1168276a5b6c4df0.cu | /*
Copyright 2015 Kyuyeon Hwang (kyuyeon.hwang@gmail.com)
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 applic... |
0ae3c4a8d184fe56ac8f13e0ab1e646ba2cffbf6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 2011-2016 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
*
* ... | 0ae3c4a8d184fe56ac8f13e0ab1e646ba2cffbf6.cu | /*
* Copyright 2011-2016 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 ... |
b4703651df7ed939bdfe4db073c63c2742913f67.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
# =============================================================================
# Copyright (C) 2016-2021 Blue Brain Project
#
# See top-level LICENSE file for details.
# ==========================================================... | b4703651df7ed939bdfe4db073c63c2742913f67.cu | /*
# =============================================================================
# Copyright (C) 2016-2021 Blue Brain Project
#
# See top-level LICENSE file for details.
# =============================================================================.
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#inclu... |
6de124442c1a7068bfa5c9a73863bf7799754b0d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include "support.h"
__global__ void kernelT(int m, int n, int k, const float *A, const float *B, float* C)
{
const unsigned int BLOCK_SIZE = 32;
const unsigned int TILE_WIDTH = 32;
__sh... | 6de124442c1a7068bfa5c9a73863bf7799754b0d.cu | #include <stdio.h>
#include <stdlib.h>
#include "support.h"
__global__ void kernelT(int m, int n, int k, const float *A, const float *B, float* C)
{
const unsigned int BLOCK_SIZE = 32;
const unsigned int TILE_WIDTH = 32;
__shared__ float subTileA[TILE_WIDTH][TILE_WIDTH];
__shared__ float subTileB[TILE_WIDTH][TI... |
a0e7fdb9d4fa3b86e84700e529187ee7fdd8faaf.hip | // !!! This is a file automatically generated by hipify!!!
//#include <stdio.h>
//#include <stdlib.h>
//#include <time.h>
//
//#include "common.h"
//#include "cuda_common.cuh"
//
//#include "hip/hip_runtime.h"
//#include "hip/hip_runtime.h"
//#include "device_launch_parameters.h"
//
//#define BLOCK_SIZE 1024
//
//templ... | a0e7fdb9d4fa3b86e84700e529187ee7fdd8faaf.cu | //#include <stdio.h>
//#include <stdlib.h>
//#include <time.h>
//
//#include "common.h"
//#include "cuda_common.cuh"
//
//#include "cuda.h"
//#include "cuda_runtime.h"
//#include "device_launch_parameters.h"
//
//#define BLOCK_SIZE 1024
//
//template<unsigned int iblock_size>
//__global__ void reduction_gmem_benchmark(... |
037ba6309277252ef4ef4298ea01e9f7b0ce5e28.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <ATen/ATen.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <vector>
__global__ void NmDistanceKernel(int b,int n,const float * xyz,int m,const float * xyz2,float * result,int * result_i){
const int batch=... | 037ba6309277252ef4ef4298ea01e9f7b0ce5e28.cu |
#include <stdio.h>
#include <ATen/ATen.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <vector>
__global__ void NmDistanceKernel(int b,int n,const float * xyz,int m,const float * xyz2,float * result,int * result_i){
const int batch=512;
__shared__ float buf[batch*2];
for (int i=blockIdx.x;i<b;i+=gridDi... |
e45422e9b1299e56bb3d149554476ec8d4fc99c0.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <time.h>
#include <hip/hip_runtime.h>
void
sumMatrixOnHost(float *A, float *B, float *C, const int nx, const int ny)
{
float *ia = A;
float *ib = B;
float *ic = C;
for (int i = 0; i < ny; i++)
{
for (int... | e45422e9b1299e56bb3d149554476ec8d4fc99c0.cu | #include <stdio.h>
#include <time.h>
#include <cuda_runtime.h>
void
sumMatrixOnHost(float *A, float *B, float *C, const int nx, const int ny)
{
float *ia = A;
float *ib = B;
float *ic = C;
for (int i = 0; i < ny; i++)
{
for (int j = 0; j < nx; j++)
{
ic[j] = ia[j] + ib[... |
47fb4d11439ce861ed4cde1b1f03dc6b831d7416.hip | // !!! This is a file automatically generated by hipify!!!
#include "helper.h"
// SNAP TRANSFORM SIZE
// transforms data size, use in convolution FFT 2D
int snapTransformSize(int dataSize){
int hiBit;
unsigned int lowPOT, hiPOT;
dataSize = iAlignUp(dataSize, 16);
for (hiBit = 31; hiBit >= 0; hiBit--){
... | 47fb4d11439ce861ed4cde1b1f03dc6b831d7416.cu | #include "helper.h"
// SNAP TRANSFORM SIZE
// transforms data size, use in convolution FFT 2D
int snapTransformSize(int dataSize){
int hiBit;
unsigned int lowPOT, hiPOT;
dataSize = iAlignUp(dataSize, 16);
for (hiBit = 31; hiBit >= 0; hiBit--){
if (dataSize & (1U << hiBit)){
break;
... |
c98a00481a0a516d5079de373d59ceeb28b41492.hip | // !!! This is a file automatically generated by hipify!!!
#include <torch/extension.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <vector>
#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 600
#else
static inline __device__ void atomicAdd(double *address, double val) {
unsigned long long i... | c98a00481a0a516d5079de373d59ceeb28b41492.cu | #include <torch/extension.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <vector>
#if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 600
#else
static inline __device__ void atomicAdd(double *address, double val) {
unsigned long long int* address_as_ull = (unsigned long long int*)address;
unsigned long ... |
d76b27a13b5619cb9fc342e9147ee72a39934814.hip | // !!! This is a file automatically generated by hipify!!!
/**
*/
#include "../util/cudaUtil.h"
#define CUDA
#include "cudaKernel.h"
#undef CUDA
/**
* cudaLaunchKernel function
*
* \brief This function uses the specified parameters to execute the
* coprocessor function specified by kernel. Any par... | d76b27a13b5619cb9fc342e9147ee72a39934814.cu | /**
*/
#include "../util/cudaUtil.h"
#define CUDA
#include "cudaKernel.h"
#undef CUDA
/**
* cudaLaunchKernel function
*
* \brief This function uses the specified parameters to execute the
* coprocessor function specified by kernel. Any parameters to
* the kernel should be included in para... |
83594d896fcf5f84b46e12f2365aa9b8c3bfe21f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "convolutions.cuh"
__global__
void convolution_deep_sh(const float* in, const float* kernel, float* out,
const int3 im_shape, const int3 k_shape)
{
size_t x = blockIdx.x * blockDim.x + thread... | 83594d896fcf5f84b46e12f2365aa9b8c3bfe21f.cu |
#include "convolutions.cuh"
__global__
void convolution_deep_sh(const float* in, const float* kernel, float* out,
const int3 im_shape, const int3 k_shape)
{
size_t x = blockIdx.x * blockDim.x + threadIdx.x;
size_t y = blockIdx.y * blockDim.y + threadIdx.y;
size_t z = blockIdx.z *... |
09e8978e7542069dc1c0939e3306bc7a75d8eca0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Copyright 2020-2021 Huawei Technologies Co., Ltd
*
* 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 Licens... | 09e8978e7542069dc1c0939e3306bc7a75d8eca0.cu | /**
* Copyright 2020-2021 Huawei Technologies Co., Ltd
*
* 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 applicabl... |
5969edf1fcfd0eacd4aa07b6ffa68e0a09afe58d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is... | 5969edf1fcfd0eacd4aa07b6ffa68e0a09afe58d.cu | /*
* ******************************************************************************
* *
* *
* * This program and the accompanying materials are made available under the
* * terms of the Apache License, Version 2.0 which is available at
* * https://www.apache.org/licenses/LICENSE-2.0.
* *
* * See the NOT... |
21bffb1131abc9329137857864aee25241c12759.hip | // !!! This is a file automatically generated by hipify!!!
/*
* The MIT License (MIT)
*
* Copyright (c) 2015 Hydrodynamix
*
* 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... | 21bffb1131abc9329137857864aee25241c12759.cu | /*
* The MIT License (MIT)
*
* Copyright (c) 2015 Hydrodynamix
*
* 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
* t... |
5a9217c619d6835a07cf8da97422b68e7f47a1af.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
* Copyright (c) 2017 by Contributors
* Copyright (c) 2017 Microsoft
* Licensed under The Apache-2.0 License [see LICENSE for details]
* \file psroi_pooling.cu
* \brief psroi pooling operator
* \author Yi Li, Tairui Chen, G... | 5a9217c619d6835a07cf8da97422b68e7f47a1af.cu | /*!
* Copyright (c) 2017 by Contributors
* Copyright (c) 2017 Microsoft
* Licensed under The Apache-2.0 License [see LICENSE for details]
* \file psroi_pooling.cu
* \brief psroi pooling operator
* \author Yi Li, Tairui Chen, Guodong Zhang, Jifeng Dai
*/
#include "./psroi_pooling-inl.h"
#include <mshadow/tensor.h>... |
a78699a217bc19d1e8d3fdf26f58e0e772e48377.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
@author:chenzhengqiang
@date:2018-09-25
@email:642346572@qq.com
*/
#include "config.h"
#include "saliency.h"
#include "opencv_common.h"
#include "cuda_common.h"
__global__ void bgr2lab(const cuda::PtrStepSz<uchar> Bimg_, cons... | a78699a217bc19d1e8d3fdf26f58e0e772e48377.cu | /*
@author:chenzhengqiang
@date:2018-09-25
@email:642346572@qq.com
*/
#include "config.h"
#include "saliency.h"
#include "opencv_common.h"
#include "cuda_common.h"
__global__ void bgr2lab(const cuda::PtrStepSz<uchar> Bimg_, const cuda::PtrStepSz<uchar> Gimg_, const cuda::PtrStepSz<uchar> Rimg_,
... |
fd3f889c61bd84cc9de7798b84f0ee3e3b9cbb17.hip | // !!! This is a file automatically generated by hipify!!!
// ----------------------------------------------------------------
// Sudoku -- Puzzle Solver on GPU using CUDA
// ----------------------------------------------------------------
/**
* @file
* sudoku.cu
*
* @brief main sudoku file to init and execute
*/... | fd3f889c61bd84cc9de7798b84f0ee3e3b9cbb17.cu | // ----------------------------------------------------------------
// Sudoku -- Puzzle Solver on GPU using CUDA
// ----------------------------------------------------------------
/**
* @file
* sudoku.cu
*
* @brief main sudoku file to init and execute
*/
#pragma once
// includes, system
#include <stdlib.h>
#in... |
8634012a4d2ccc5d9934613a1cad2f69231f695a.hip | // !!! This is a file automatically generated by hipify!!!
/*
Copyright (c) 2018 Ole-Christoffer Granmo
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 limi... | 8634012a4d2ccc5d9934613a1cad2f69231f695a.cu | /*
Copyright (c) 2018 Ole-Christoffer Granmo
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, copy, modify, merge, publish, dis... |
4835f129b8f5fb7585a215f6845bc445a8a2c5c2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "lightfield.hpp"
#include "cutil_math.hpp"
#include "cuda_helpers.hh"
#include <stdio.h>
#include <cmath>
#define PI 3.14159265358979f
#define min(a, b) (((a) < (b)) ? (a) : (b))
#define TREE
namespace lightfield {
/*... | 4835f129b8f5fb7585a215f6845bc445a8a2c5c2.cu |
#include "lightfield.hpp"
#include "cutil_math.hpp"
#include "cuda_helpers.hh"
#include <stdio.h>
#include <cmath>
#define PI 3.14159265358979f
#define min(a, b) (((a) < (b)) ? (a) : (b))
#define TREE
namespace lightfield {
/* data structures */
struct LFData *camer_info = 0;
static struct LFCamera *gpuCam = 0;... |
ced9b8686b9b170cdf35ec82bdd6f1463467857a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "utils.h"
#include "timer.h"
#include <stdio.h>
__global__
void sum_kernel(ull * const d_arr, ull * const d_out, int N)
{
extern __shared__ ull s_arr[];
int x = blockIdx.x * blockDim.x + threadIdx.x;
int tid = thread... | ced9b8686b9b170cdf35ec82bdd6f1463467857a.cu | #include "utils.h"
#include "timer.h"
#include <stdio.h>
__global__
void sum_kernel(ull * const d_arr, ull * const d_out, int N)
{
extern __shared__ ull s_arr[];
int x = blockIdx.x * blockDim.x + threadIdx.x;
int tid = threadIdx.x;
if (x >= N)
return;
s_arr[tid] = d_arr[x];
__syncthreads();
for ... |
ffb064a4d252082aecaebae107ac926e16d6c832.hip | // !!! This is a file automatically generated by hipify!!!
//--------------------------------------------------------------------------
// Project:
// Read GPU temepratures on a CUDA-enabled system.
// Bypass the need for 3rd party libraries.
// Insert into your code as desired.
//
// Prerequisites:
// Must have ins... | ffb064a4d252082aecaebae107ac926e16d6c832.cu | //--------------------------------------------------------------------------
// Project:
// Read GPU temepratures on a CUDA-enabled system.
// Bypass the need for 3rd party libraries.
// Insert into your code as desired.
//
// Prerequisites:
// Must have installed the CUDA toolkit.
// Must be running on a UNIX machi... |
4a8e0273fc7b2d30aa1e0cb1c1155bf123621967.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <stdlib.h>
#include <ctime>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
using namespace std;
__global__
void vecAddKernel(float * A, float *B, float *C, int n){
int i = blockDim.x*blockIdx.x + threadIdx.x;
... | 4a8e0273fc7b2d30aa1e0cb1c1155bf123621967.cu | #include <iostream>
#include <stdlib.h>
#include <ctime>
#include <cuda_runtime.h>
#include <cuda.h>
using namespace std;
__global__
void vecAddKernel(float * A, float *B, float *C, int n){
int i = blockDim.x*blockIdx.x + threadIdx.x;
if(i<n) C[i] = A[i] + B[i];
}
void vecAdd(float * A, float *B, float *... |
c00ade7375801d72a9e2199615d16db0f48848f1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include "projektcuda.h"
#include "project_comm.h"
/* Kernel to square elements of the array on the GPU */
/*
Matrix A is mA x nB , Vector B is nB
Vector C output vector in size of mA
C=A*B
description:
each... | c00ade7375801d72a9e2199615d16db0f48848f1.cu | #include "cuda.h"
#include <stdio.h>
#include "projektcuda.h"
#include "project_comm.h"
/* Kernel to square elements of the array on the GPU */
/*
Matrix A is mA x nB , Vector B is nB
Vector C output vector in size of mA
C=A*B
description:
each row of A occuppy one block. if gridDim is smaller than the row number... |
2145bc4213d364d5270f7b8ecd63812422377146.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <math.h>
#include <float.h>
#include <thrust/extrema.h>
#include <thrust/device_ptr.h>
#define CSC(call) \
do { \
hipError_t res = call; \
if (res != hipSuccess) { \
fprintf(stderr, "... | 2145bc4213d364d5270f7b8ecd63812422377146.cu | #include <stdio.h>
#include <math.h>
#include <float.h>
#include <thrust/extrema.h>
#include <thrust/device_ptr.h>
#define CSC(call) \
do { \
cudaError_t res = call; \
if (res != cudaSuccess) { \
fprintf(stderr, "ERROR in %s:%d. Message: %s\n", \
__FILE__, __LINE__, cudaGetErrorString(res)); ... |
562a83784e429dd436d34161c1bfba8ac87fc9de.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <array>
#include <cassert>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <random>
#include <sstream>
#include "opencv2/core.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "op... | 562a83784e429dd436d34161c1bfba8ac87fc9de.cu | #include <array>
#include <cassert>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <random>
#include <sstream>
#include "opencv2/core.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/videoio.hpp"
#include "shapes.hpp"
#include "mov... |
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