hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
7606b5125cbe6fb0499e6041b3eb0508192167e1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void accumulatedPartSizesKernel(int size, int *part, int *weights, int *accumulatedSize) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx == size - 1)
accumulatedSize[part[idx]] = weights[i... | 7606b5125cbe6fb0499e6041b3eb0508192167e1.cu | #include "includes.h"
__global__ void accumulatedPartSizesKernel(int size, int *part, int *weights, int *accumulatedSize) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx == size - 1)
accumulatedSize[part[idx]] = weights[idx];
if (idx < size - 1)
{
int thisPart = part[idx];
if (thisPart != part[idx + 1])
accu... |
70880df999250c856a1100c6b71818d2398d6369.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html
#include <torch/types.h>
#in... | 70880df999250c856a1100c6b71818d2398d6369.cu | // Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
//
// This work is made available under the Nvidia Source Code License-NC.
// To view a copy of this license, visit
// https://nvlabs.github.io/stylegan2/license.html
#include <torch/types.h>
#include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#inclu... |
3b3f6083b39c96cb58cba230f1ca963bac1fc84e.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<math.h>
__global__ void alter(int *a, int * t){
int n = threadIdx.x, m=blockIdx.x, size = blockDim.x;
t[m*size + n] = 1;
int d = m;
while(d>=0)... | 3b3f6083b39c96cb58cba230f1ca963bac1fc84e.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include<stdio.h>
#include<stdlib.h>
#include<math.h>
__global__ void alter(int *a, int * t){
int n = threadIdx.x, m=blockIdx.x, size = blockDim.x;
t[m*size + n] = 1;
int d = m;
while(d>=0){
t[m*size+n]*=a[m*size+n];
d--;
}
}
int main(void){
in... |
db3f362c56858cc39ecfca02880022f32bdaf2a1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* NiuTrans.Tensor - an open-source tensor library
* Copyright (C) 2017, Natural Language Processing Lab, Northestern University.
* All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may n... | db3f362c56858cc39ecfca02880022f32bdaf2a1.cu | /* NiuTrans.Tensor - an open-source tensor library
* Copyright (C) 2017, Natural Language Processing Lab, Northestern University.
* 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 L... |
0dd17dc0415aa362bd87a4623b7bf90fb03e7695.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <vector>
#include "caffe/layer.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/vision_layers.hpp"
namespace caffe {
template <typename Dtype>
__global__ void LRNFillScale(const int nthreads, const Dtype* co... | 0dd17dc0415aa362bd87a4623b7bf90fb03e7695.cu | #include <vector>
#include "caffe/layer.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/vision_layers.hpp"
namespace caffe {
template <typename Dtype>
__global__ void LRNFillScale(const int nthreads, const Dtype* const in,
const int num, const int channels, const int height,
const int width, co... |
44f378c73a2a386464988198d201cfe197bbab02.hip | // !!! This is a file automatically generated by hipify!!!
#include "../common/common.h"
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <stdlib.h>
#include "../common/stopwatch.h"
__device__ bool prime=1;
__global__ void primeGPU(int N)
{
if(N==1) {prime=0; return;}
if(N==2 || N==3) { return;}
... | 44f378c73a2a386464988198d201cfe197bbab02.cu | #include "../common/common.h"
#include <stdio.h>
#include <cuda_runtime.h>
#include <stdlib.h>
#include "../common/stopwatch.h"
__device__ bool prime=1;
__global__ void primeGPU(int N)
{
if(N==1) {prime=0; return;}
if(N==2 || N==3) { return;}
const unsigned int i=blockIdx.x*blockDim.x+threadIdx.x;
if... |
5a5df1e2a5e7164effcf9452af518ea9f9e8dce7.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019-2020, 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... | 5a5df1e2a5e7164effcf9452af518ea9f9e8dce7.cu | /*
* Copyright (c) 2019-2020, 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... |
c011397a0b73809d3bc38a3c3e5d0f55d0c4a76e.hip | // !!! This is a file automatically generated by hipify!!!
#include "encoder.h"
#include "kernels/transformerKernels.h"
#include "kernels/multilgKernels.h"
/**
@file
Transformer encoder, composed by gemm lib and
custom cuda kernel function
*/
namespace lightseq {
namespace cuda {
template <OperationType OpType_>
E... | c011397a0b73809d3bc38a3c3e5d0f55d0c4a76e.cu | #include "encoder.h"
#include "kernels/transformerKernels.h"
#include "kernels/multilgKernels.h"
/**
@file
Transformer encoder, composed by gemm lib and
custom cuda kernel function
*/
namespace lightseq {
namespace cuda {
template <OperationType OpType_>
Encoder<OpType_>::Encoder(int max_batch_size, const int *p_d... |
3f7c97d40d62c55701be1a044e6cb8bc634b0858.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*******************************************************************************
*
* ANIMATION PROCESSING
*
*******************************************************************************/
#include "animate.h"
#include <stdio.h>
... | 3f7c97d40d62c55701be1a044e6cb8bc634b0858.cu | /*******************************************************************************
*
* ANIMATION PROCESSING
*
*******************************************************************************/
#include "animate.h"
#include <stdio.h>
/******************************************************************************/
__globa... |
08b4d33bceb734c1ac7763a63967e2f2de50c804.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <fcntl.h>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#define CBLACK "\33[30m"
#define CRED "\33[31m"
#define CGREEN "\33[32m"
#define CWHITE "\33[37m"
#define SIT_SIZE 500
#define NBR_COIN 162
#define NBR_... | 08b4d33bceb734c1ac7763a63967e2f2de50c804.cu | #include <fcntl.h>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#define CBLACK "\33[30m"
#define CRED "\33[31m"
#define CGREEN "\33[32m"
#define CWHITE "\33[37m"
#define SIT_SIZE 500
#define NBR_COIN 162
#define NBR_COIN_CUDA 162
#define NBR_BLOCK 1024
#define NBR_HIGH_SCORE 50
#define MIN_PRICE 0.00062... |
68f4df390b137f3777b7a826bf221d4ede821a05.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, ... | 68f4df390b137f3777b7a826bf221d4ede821a05.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... |
d8078df5d769fe79904fdfef4b93dcb8380b3035.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define NUM_NODES 1024
// Declaration of a structure
typedef struct {
int startIndex; // starting index in Adj list
int numberOfNeighbors; // number of neighbors of each ... | d8078df5d769fe79904fdfef4b93dcb8380b3035.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define NUM_NODES 1024
// Declaration of a structure
typedef struct {
int startIndex; // starting index in Adj list
int numberOfNeighbors; // number of neighbors of each vertices
} Node;
__global__ void bfs_optimized(Node *gpu_vertex, int *gpu_neighbors, bo... |
64ca6e5b724b8c568246820792c28f2efe915521.hip | // !!! This is a file automatically generated by hipify!!!
#include "./c_runtime_api.h"
#include <cassert>
#include <cstdio>
#include <rocblas.h>
#include <hip/hip_runtime.h>
#include <math.h>
/* TODO: Your code here */
/* all your GPU kernel code, e.g. matrix_softmax_cross_entropy_kernel */
// y = inputs[0], y_ = in... | 64ca6e5b724b8c568246820792c28f2efe915521.cu | #include "./c_runtime_api.h"
#include <cassert>
#include <cstdio>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#include <math.h>
/* TODO: Your code here */
/* all your GPU kernel code, e.g. matrix_softmax_cross_entropy_kernel */
// y = inputs[0], y_ = inputs[1]
// np.mean(-np.sum(y_ * np.log(softmax(y)), axis=1),... |
7c3a81cc044be8279ebcdd9689bdcc1b7c19e14e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel2_yvel_minus_2_top;
int xdim0_update_halo_kernel2_yvel_minus_2_top_h = -1;
__constant__ int ydim0_update_halo_kernel2_yvel_minus_2_top;
int ydim0_update_halo... | 7c3a81cc044be8279ebcdd9689bdcc1b7c19e14e.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel2_yvel_minus_2_top;
int xdim0_update_halo_kernel2_yvel_minus_2_top_h = -1;
__constant__ int ydim0_update_halo_kernel2_yvel_minus_2_top;
int ydim0_update_halo_kernel2_yvel_minus_2_top_h = -1;
__constant__ int xdim1_update_halo_kernel2_yvel_minus_... |
32a64fc71be4d7693d04717dd23cb46c9157bd78.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <string>
#include <math.h>
#include <stdio.h>
#define numBlocks 12
#define numThreads 32
struct RSA_KEY
{
unsigned long p; // selected prime 1
unsigned long q; // selected prime 2
... | 32a64fc71be4d7693d04717dd23cb46c9157bd78.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <string>
#include <math.h>
#include <stdio.h>
#define numBlocks 12
#define numThreads 32
struct RSA_KEY
{
unsigned long p; // selected prime 1
unsigned long q; // selected prime 2
unsigned long n; // public - the modulus
unsigned long e; //... |
1b21b11ebff902440cab03dab81babda9cad3587.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define STRIDE 2
__global__ void kernel3(int m, int n, int k, double *d_A, double *d_B, double *d_C){
int i = (blockIdx.y * blockDim.y + threadIdx.y) * STRIDE;
int j = blockIdx.x * blockDim.x + threadIdx.x;
int s... | 1b21b11ebff902440cab03dab81babda9cad3587.cu | #define STRIDE 2
__global__ void kernel3(int m, int n, int k, double *d_A, double *d_B, double *d_C){
int i = (blockIdx.y * blockDim.y + threadIdx.y) * STRIDE;
int j = blockIdx.x * blockDim.x + threadIdx.x;
int sum1=0;
for(int s1 = 0; s1 < STRIDE; s1++){
sum1 = i + s1;
if (sum1 ... |
7325765420f18dd852643ba957d9d7cc5af0cdfa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// nvcc hello-world.cu -L /usr/local/cuda/lib -lcudart -o hello-world
#include <cstdlib>
#include <cstdio>
#include "Matching.h"
#include "const.h"
//#include "cam.h"
#include "WindowMatching.h"
#include "timer.h"
#include <cmath>
... | 7325765420f18dd852643ba957d9d7cc5af0cdfa.cu | // nvcc hello-world.cu -L /usr/local/cuda/lib -lcudart -o hello-world
#include <cstdlib>
#include <cstdio>
#include "Matching.h"
#include "const.h"
//#include "cam.h"
#include "WindowMatching.h"
#include "timer.h"
#include <cmath>
using namespace cv;
static void HandleError( cudaError_t err,
... |
6184847cfe9407acb9f676916497e9ece36a5b39.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "THHUNN.h"
#include "THHDeviceTensor.cuh"
#include "THHDeviceTensorUtils.cuh"
#include "THHDeviceUtils.cuh"
#include "THHReduceApplyUtils.cuh"
__global__ void SpatialReflectionPadding_updateOutput(
THCDeviceTensor<float... | 6184847cfe9407acb9f676916497e9ece36a5b39.cu | #include "THCUNN.h"
#include "THCDeviceTensor.cuh"
#include "THCDeviceTensorUtils.cuh"
#include "THCDeviceUtils.cuh"
#include "THCReduceApplyUtils.cuh"
__global__ void SpatialReflectionPadding_updateOutput(
THCDeviceTensor<float, 4> input,
THCDeviceTensor<float, 4> output,
int padT, int padB, int padL, int padR... |
c875d933fdc41714332906d1048a9ded7e6f83fa.hip | // !!! This is a file automatically generated by hipify!!!
#include <cmath>
#include <cstdio>
#include <cstring>
#include <string>
#include <algorithm>
#include <iostream>
#include <cstdlib>
// #include <unistd.h>
// #include <windows.h>
// #include <unistd.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>... | c875d933fdc41714332906d1048a9ded7e6f83fa.cu | #include <cmath>
#include <cstdio>
#include <cstring>
#include <string>
#include <algorithm>
#include <iostream>
#include <cstdlib>
// #include <unistd.h>
// #include <windows.h>
// #include <unistd.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
// #include <device_functions.h>
#... |
c86394ba776ff1e1ed7e15112434d2c383161af4.hip | // !!! This is a file automatically generated by hipify!!!
#include<iostream>
#include<stdlib.h>
#include <hip/hip_runtime.h>
#include <math.h>
#define N 1000000
#define RADIUS 3
int checkResults(int startElem, int endElem, float* cudaRes, float* res)
{
int nDiffs=0;
const float smallVal = 0.000001f;
for(... | c86394ba776ff1e1ed7e15112434d2c383161af4.cu | #include<iostream>
#include<stdlib.h>
#include <cuda.h>
#include <math.h>
#define N 1000000
#define RADIUS 3
int checkResults(int startElem, int endElem, float* cudaRes, float* res)
{
int nDiffs=0;
const float smallVal = 0.000001f;
for(int i=startElem; i<endElem; i++)
if(fabs(cudaRes[i]-res[i])>sm... |
dfc4fcac77ef33e1a0048be805308948d77b1af5.hip | // !!! This is a file automatically generated by hipify!!!
/*
* -----------------------------------------------------------------
* Programmer(s): Slaven Peles @ LLNL
* -----------------------------------------------------------------
* Acknowledgements: This example is based on cvAdvDiff_bnd
* e... | dfc4fcac77ef33e1a0048be805308948d77b1af5.cu | /*
* -----------------------------------------------------------------
* Programmer(s): Slaven Peles @ LLNL
* -----------------------------------------------------------------
* Acknowledgements: This example is based on cvAdvDiff_bnd
* example by Scott D. Cohen, Alan C.
* Hind... |
1254805a932f72e94d0f2aba47b373279ffe1688.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include "core/providers/cuda/cu_inc/common.cuh"
#include "shrink_impl.h"
namespace onnxruntime {
namespace cuda {
// Generic impleme... | 1254805a932f72e94d0f2aba47b373279ffe1688.cu | // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include "core/providers/cuda/cu_inc/common.cuh"
#include "shrink_impl.h"
namespace onnxruntime {
namespace cuda {
// Generic implementation of Shrink
template <typename T>
__global__ void _ShrinkKernel(
const T* inpu... |
4e8a504a934cc9f72b9883f58ea158e45ead3215.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THH/generic/THHTensorRandom.hip"
#else
#include "ATen/hip/HIPContext.h"
#define NUM_BLOCKS min((int)THCCeilDiv(size, (ptrdiff_t) BLOCK_SIZE), MAX_NUM_BLOCKS)
#if defined(THC_REAL... | 4e8a504a934cc9f72b9883f58ea158e45ead3215.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THC/generic/THCTensorRandom.cu"
#else
#include "ATen/cuda/CUDAContext.h"
#define NUM_BLOCKS min((int)THCCeilDiv(size, (ptrdiff_t) BLOCK_SIZE), MAX_NUM_BLOCKS)
#if defined(THC_REAL_IS_FLOAT) || defined(THC_REAL_IS_DOUBLE) || defined(THC_REAL_IS_HALF)
void THCTensor... |
aa5e23c9d19abf811b5f518bbc1119ed8222ab64.hip | // !!! This is a file automatically generated by hipify!!!
/*
* RegionalFeatures.cu
*/
#include <assert.h>
#include <hip/hip_runtime.h>
#include <helper_functions.h>
#include <helper_cuda.h>
#include <hip/hip_fp16.h>
#include <hipcub/hipcub.hpp>
#include "RegionalFeatures.cuh"
struct MaxOp
{
template <typename ... | aa5e23c9d19abf811b5f518bbc1119ed8222ab64.cu | /*
* RegionalFeatures.cu
*/
#include <assert.h>
#include <cuda_runtime.h>
#include <helper_functions.h>
#include <helper_cuda.h>
#include <cuda_fp16.h>
#include <cub/cub.cuh>
#include "RegionalFeatures.cuh"
struct MaxOp
{
template <typename T>
__device__ __forceinline__
T operator()(const T &a, const T ... |
93344aa0431571e776dc5f1253dc1740fc75d618.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2020, 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
*
*... | 93344aa0431571e776dc5f1253dc1740fc75d618.cu | /*
* Copyright (c) 2020, 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 ... |
4037a572aaabc9719fe2673d26c94aa7c6bd1384.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
static unsigned int GRID_SIZE_N;
static unsigned int GRID_SIZE_4N;
static unsigned int MAX_STATE_VALUE;
__global__ static void cudaEvaluateRightGammaKernel(int *wptr, double *x1, double *x2, double *diagptabl... | 4037a572aaabc9719fe2673d26c94aa7c6bd1384.cu | #include "includes.h"
static unsigned int GRID_SIZE_N;
static unsigned int GRID_SIZE_4N;
static unsigned int MAX_STATE_VALUE;
__global__ static void cudaEvaluateRightGammaKernel(int *wptr, double *x1, double *x2, double *diagptable, double *output, const int limit) {
const int i = blockIdx.x * blockDim.x + threadIdx.... |
8340f2ffd2bc9e97654c4276a88daae6ca9eae79.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Author: Sardar Haque Email: haque.sardar@gmail.com
*/
#include "../include/fastPolyEvaluation.h"
using namespace std;
void fastEvaluation(int k, sfixn p, sfixn *M1, sfixn *M2, sfixn *Fpoly, int check)
{
int i, j;
/* c... | 8340f2ffd2bc9e97654c4276a88daae6ca9eae79.cu | /*
Author: Sardar Haque Email: haque.sardar@gmail.com
*/
#include "../include/fastPolyEvaluation.h"
using namespace std;
void fastEvaluation(int k, sfixn p, sfixn *M1, sfixn *M2, sfixn *Fpoly, int check)
{
int i, j;
/* creating subproduct tree*/
sfixn *Mgpu[MAX_LEVEL], *A, *B, *C, *D, *E, *F, *G;
sfixn ... |
a8fc66edd292ca84fa8d27394b7dbd0c7e68ccb1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// This file is part of bp-layers.
//
// Copyright (C) 2020 Patrick Knbelreiter <knoebelreiter at icg dot tugraz dot at>
// Christian Sormann <christian dot sormann at icg dot tugraz dot at>
// Institute for Computer Graphics and Vi... | a8fc66edd292ca84fa8d27394b7dbd0c7e68ccb1.cu | // This file is part of bp-layers.
//
// Copyright (C) 2020 Patrick Knöbelreiter <knoebelreiter at icg dot tugraz dot at>
// Christian Sormann <christian dot sormann at icg dot tugraz dot at>
// Institute for Computer Graphics and Vision, Graz University of Technology
// https://www.tugraz.at/institute/icg/teams/team-p... |
41a9ef2d56120149ead418b95d768e58ebff77c9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <time.h>
#include <math.h>
<<<<<<< Updated upstream
const long N = pow(2,30);
=======
const int N = 1024;
>>>>>>> Stashed changes
const int blocksize = 16;
__global__
void GPU_multi(long *a, long *b) {
... | 41a9ef2d56120149ead418b95d768e58ebff77c9.cu | #include <stdio.h>
#include <time.h>
#include <math.h>
<<<<<<< Updated upstream
const long N = pow(2,30);
=======
const int N = 1024;
>>>>>>> Stashed changes
const int blocksize = 16;
__global__
void GPU_multi(long *a, long *b) {
a[threadIdx.x] *= b[threadIdx.x];
}
void CPU_multi(long *a, long *b) {
for(long i ... |
4b58782f4e21f46a971849dc44c6a254bb451bf6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
// This file... | 4b58782f4e21f46a971849dc44c6a254bb451bf6.cu | /*
* Copyright (c) Meta Platforms, Inc. and affiliates.
* All rights reserved.
*
* This source code is licensed under the BSD-style license found in the
* LICENSE file in the root directory of this source tree.
*/
// This file is auto-generated. See "generate_kernels.py"
#include <ATen/native/transformers/cuda/me... |
c9f794195f9298f79bf0cf4b6db52f54e6e86338.hip | // !!! This is a file automatically generated by hipify!!!
/*!
* Copyright 2017 XGBoost contributors
*/
#include <thrust/device_vector.h>
#include <xgboost/base.h>
#include "../helpers.h"
#include "gtest/gtest.h"
#include "../../../src/data/sparse_page_source.h"
#include "../../../src/gbm/gbtree_model.h"
#include "... | c9f794195f9298f79bf0cf4b6db52f54e6e86338.cu |
/*!
* Copyright 2017 XGBoost contributors
*/
#include <thrust/device_vector.h>
#include <xgboost/base.h>
#include "../helpers.h"
#include "gtest/gtest.h"
#include "../../../src/data/sparse_page_source.h"
#include "../../../src/gbm/gbtree_model.h"
#include "../../../src/tree/updater_gpu_hist.cu"
#include "../../../s... |
d0649d5639d5c3bdfb0b8e4acf3e99d881bccc37.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "ex1.h"
#define HIST_LENGTH 256
#define IMG_SIZE IMG_WIDTH*IMG_HEIGHT
__device__ void prefix_sum(int arr[], int arr_size) {
int threadID = threadIdx.x;
int offset = 1;
int last = arr[arr_size-1];
for(int ... | d0649d5639d5c3bdfb0b8e4acf3e99d881bccc37.cu | #include "ex1.h"
#define HIST_LENGTH 256
#define IMG_SIZE IMG_WIDTH*IMG_HEIGHT
__device__ void prefix_sum(int arr[], int arr_size) {
int threadID = threadIdx.x;
int offset = 1;
int last = arr[arr_size-1];
for(int level = arr_size / 2; level > 0; level /= 2)
{
if(threadID < level)
{
... |
0d4492a8200c4defe9fe275167e72b006afe52dc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
using namespace std;
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(hipError_t code, const char *file, int line, bool abort=true)
{
if (code != hipSuccess)
{
... | 0d4492a8200c4defe9fe275167e72b006afe52dc.cu | #include <iostream>
using namespace std;
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true)
{
if (code != cudaSuccess)
{
fprintf(stderr,"GPUassert: %d %s %s %d\n", code, cudaGetErrorString(code), file, line)... |
05486389c5b9088386ba036f42af5f14c0875357.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#ifdef GLOBAL
__device__ char x = 0;
#endif
__global__ void racey_kernel() {
#ifdef SHARED
__shared__ char x;
#endif
if (threadIdx.x == 0 && blockIdx.x == 0)
#ifdef WW
x = threadIdx.x + blockIdx... | 05486389c5b9088386ba036f42af5f14c0875357.cu | #include <stdio.h>
#ifdef GLOBAL
__device__ char x = 0;
#endif
__global__ void racey_kernel() {
#ifdef SHARED
__shared__ char x;
#endif
if (threadIdx.x == 0 && blockIdx.x == 0)
#ifdef WW
x = threadIdx.x + blockIdx.x;
#elif RW
volatile char c = x;
#endif
__syncthreads();
if (threadIdx.... |
24d573b4dcf0621f8ce1bd754239229a3a7e4fb7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.1.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date August 2016
@generated from sparse-iter/blas/zgedensereimsplit.cu, no... | 24d573b4dcf0621f8ce1bd754239229a3a7e4fb7.cu | /*
-- MAGMA (version 2.1.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date August 2016
@generated from sparse-iter/blas/zgedensereimsplit.cu, normal z -> d, Tue Aug 30 09:38:46 2016
*/
#include "magmasparse_internal.h"
#define BLO... |
83e305ce7e9ae1c1b2ecce6d602520637b2e2a2b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
#include <cstdlib>
#include <math.h>
#include <time.h>
#define MINVAL 0.00
#define MAXVAL 10.0
#define TOL 1e-5
#define NUM_THREADS 16
double CPS = 2.9e9;
int LEN; // to be defined via cmd args
///... | 83e305ce7e9ae1c1b2ecce6d602520637b2e2a2b.cu | #include <cstdio>
#include <cstdlib>
#include <math.h>
#include <time.h>
#define MINVAL 0.00
#define MAXVAL 10.0
#define TOL 1e-5
#define NUM_THREADS 16
double CPS = 2.9e9;
int LEN; // to be defined via cmd args
//////////////////////////// CUDA RELATED ////////////////////////////////////
// Asser... |
f812e54b892e2d143bbec764ee8ad562200a8e3d.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... | f812e54b892e2d143bbec764ee8ad562200a8e3d.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... |
6e3f474c49111be6ab9182d21897066799076ee5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any us... | 6e3f474c49111be6ab9182d21897066799076ee5.cu | /*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use, reproduction, disclosure, or distribution of this software
* and related documentat... |
9bca041eb486d82ed1c8d21fe32efa3be06d57ff.hip | // !!! This is a file automatically generated by hipify!!!
// ** Original codelet code **
//
// #pragma hmppcg cpiparam __arg0 INOUT e%hmpp_codelet__threeMMloopa: (1, 2) e%hmpp_codelet__threeMMloopc: (3, 0)
// #pragma hmppcg cpiparam __arg1 INOUT f%hmpp_codelet__threeMMloopb: (2, 2) f%hmpp_codelet__threeMMloopc: (3, 1)... | 9bca041eb486d82ed1c8d21fe32efa3be06d57ff.cu | // ** Original codelet code **
//
// #pragma hmppcg cpiparam __arg0 INOUT e%hmpp_codelet__threeMMloopa: (1, 2) e%hmpp_codelet__threeMMloopc: (3, 0)
// #pragma hmppcg cpiparam __arg1 INOUT f%hmpp_codelet__threeMMloopb: (2, 2) f%hmpp_codelet__threeMMloopc: (3, 1)
// #pragma hmppcg cpiparam __arg2 INOUT a%hmpp_codelet__th... |
f093b5fc27b8cd15d4db91ee05c7a87bcd4db909.hip | // !!! This is a file automatically generated by hipify!!!
#include "fast_pcl/ndt_gpu/MatrixDevice.h"
#include "fast_pcl/ndt_gpu/debug.h"
namespace gpu {
MatrixDevice::MatrixDevice(int rows, int cols) {
rows_ = rows;
cols_ = cols;
offset_ = 1;
fr_ = true;
checkCudaErrors(hipMalloc(&buffer_, sizeof(double) * rows... | f093b5fc27b8cd15d4db91ee05c7a87bcd4db909.cu | #include "fast_pcl/ndt_gpu/MatrixDevice.h"
#include "fast_pcl/ndt_gpu/debug.h"
namespace gpu {
MatrixDevice::MatrixDevice(int rows, int cols) {
rows_ = rows;
cols_ = cols;
offset_ = 1;
fr_ = true;
checkCudaErrors(cudaMalloc(&buffer_, sizeof(double) * rows_ * cols_ * offset_));
checkCudaErrors(cudaMemset(buffer_... |
34e8a81cd460aa150d1c9b4c1b72e1ae865603d5.hip | // !!! This is a file automatically generated by hipify!!!
/* Jim - A small embeddable Tcl interpreter
*
* Copyright 2005 Salvatore Sanfilippo <antirez@invece.org>
* Copyright 2005 Clemens Hintze <c.hintze@gmx.net>
* Copyright 2005 patthoyts - Pat Thoyts <patthoyts@users.sf.net>
* Copyright 2008,2009 oharboe - yvind Ha... | 34e8a81cd460aa150d1c9b4c1b72e1ae865603d5.cu | /* Jim - A small embeddable Tcl interpreter
*
* Copyright 2005 Salvatore Sanfilippo <antirez@invece.org>
* Copyright 2005 Clemens Hintze <c.hintze@gmx.net>
* Copyright 2005 patthoyts - Pat Thoyts <patthoyts@users.sf.net>
* Copyright 2008,2009 oharboe - Øyvind Harboe - oyvind.harboe@zylin.com
* Copyright 2008 Andrew Lun... |
ebbb230a8ffb19654cd6f9d921f783171d2cb5ac.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <Timer.hpp>
#include <iostream>
#include <iomanip>
using LOFAR::NSTimer;
using std::cout;
using std::cerr;
using std::endl;
using std::fixed;
using std::setprecision;
// function to check if there are any cuda errors
voi... | ebbb230a8ffb19654cd6f9d921f783171d2cb5ac.cu |
#include <Timer.hpp>
#include <iostream>
#include <iomanip>
using LOFAR::NSTimer;
using std::cout;
using std::cerr;
using std::endl;
using std::fixed;
using std::setprecision;
// function to check if there are any cuda errors
void cudaErrorCheck(cudaError_t error){
if (error != cudaSuccess) {
fprintf(stderr, "cud... |
f3b15c4ee94c96328bed826f014431b9722f36b6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019-2022, 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
... | f3b15c4ee94c96328bed826f014431b9722f36b6.cu | /*
* Copyright (c) 2019-2022, 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... |
825aa1f0ce1bc073ada37ee66327917049e85859.hip | // !!! This is a file automatically generated by hipify!!!
//#define MAIN_PROGRAM
// c standard headers
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <cblas.h>
#include <float.h>
#include <sys/time.h>
// own c headers
#include "../common.h"
#include "../matr... | 825aa1f0ce1bc073ada37ee66327917049e85859.cu | //#define MAIN_PROGRAM
// c standard headers
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <cblas.h>
#include <float.h>
#include <sys/time.h>
// own c headers
#include "../common.h"
#include "../matrix_operations/tensor.h"
#include "../matrix_operations/matr... |
31edca18c1bdfd603faf31feeb973ee5268e543e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cumath.h"
#define real float
#define real3 float3
#define real4 float4
#define mkreal4 make_float4
#define SHAPEX 4
#define SHAPEY 4
#define SHAPEZ 4
#define L(x,y,z) ((x) + ( (y) + (z) * SHAPEY ) * SHAPEX)
#define G... | 31edca18c1bdfd603faf31feeb973ee5268e543e.cu |
#include "cumath.h"
#define real float
#define real3 float3
#define real4 float4
#define mkreal4 make_float4
#define SHAPEX 4
#define SHAPEY 4
#define SHAPEZ 4
#define L(x,y,z) ((x) + ( (y) + (z) * SHAPEY ) * SHAPEX)
#define Gx 0
#define Gy -9
#define Gz 0
__device__ real norm( real4 p )
{
return sqrt( p.x*p.... |
95ecedba45e395cff386123f1e5310b718397a77.hip | // !!! This is a file automatically generated by hipify!!!
// CIS565 CUDA Raytracer: A parallel raytracer for Patrick Cozzi's CIS565: GPU Computing at the University of Pennsylvania
// Written by Yining Karl Li, Copyright (c) 2012 University of Pennsylvania
// This file includes code from:
// Rob Farber for CUDA-... | 95ecedba45e395cff386123f1e5310b718397a77.cu | // CIS565 CUDA Raytracer: A parallel raytracer for Patrick Cozzi's CIS565: GPU Computing at the University of Pennsylvania
// Written by Yining Karl Li, Copyright (c) 2012 University of Pennsylvania
// This file includes code from:
// Rob Farber for CUDA-GL interop, from CUDA Supercomputing For The Masses: http:/... |
9512a1e064d5312b60977e6c29472dfd2d7b5b4c.hip | // !!! This is a file automatically generated by hipify!!!
#include "phong.h"
rtDeclareVariable(float3, shading_normal, attribute shading_normal, );
rtDeclareVariable(float3, geometric_normal, attribute geometric_normal, );
//
// Transparent object shadows, no textures
//
rtDeclareVariable(float3, shadow_attenuatio... | 9512a1e064d5312b60977e6c29472dfd2d7b5b4c.cu | #include "phong.h"
rtDeclareVariable(float3, shading_normal, attribute shading_normal, );
rtDeclareVariable(float3, geometric_normal, attribute geometric_normal, );
//
// Transparent object shadows, no textures
//
rtDeclareVariable(float3, shadow_attenuation, , );
RT_PROGRAM void any_hit_glass()
{
const float3 wo... |
a66307f34f5fbbf7e0b4d5ed4812c621978dd56d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//pass
//--gridDim=[32,1,1] --blockDim=[32,1,1]
//REQUIRES: hipExtent
//REQUIRES: SURFACE
#include "common.h"
__global__ void
d_integrate_trapezoidal(hipExtent extent)
{
uint x = blockIdx.x*blockDim.x + threadIdx.x;
... | a66307f34f5fbbf7e0b4d5ed4812c621978dd56d.cu | //pass
//--gridDim=[32,1,1] --blockDim=[32,1,1]
//REQUIRES: cudaExtent
//REQUIRES: SURFACE
#include "common.h"
__global__ void
d_integrate_trapezoidal(cudaExtent extent)
{
uint x = blockIdx.x*blockDim.x + threadIdx.x;
// for higher speed could use hierarchical approach for sum
if (x >= extent.widt... |
1ec0a57b6fef52a52eecfac130a36f204dbab19b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gradient2d-512-16-256_kernel.hu"
__device__ float __sbref_wrap(float *sb, size_t index) { return sb[index]; }
__global__ void kernel0_16(float *A, int dimsize, int timestep, int c0)
{
#ifndef AN5D_TYPE
#define AN5D_TYPE u... | 1ec0a57b6fef52a52eecfac130a36f204dbab19b.cu | #include "gradient2d-512-16-256_kernel.hu"
__device__ float __sbref_wrap(float *sb, size_t index) { return sb[index]; }
__global__ void kernel0_16(float *A, int dimsize, int timestep, int c0)
{
#ifndef AN5D_TYPE
#define AN5D_TYPE unsigned
#endif
const AN5D_TYPE __c0Len = (timestep - 0);
const AN5D_TYPE __c0Pad... |
2139ccd9adf30a422ce6ab8bec9b748752ae0fb3.hip | // !!! This is a file automatically generated by hipify!!!
#include "cudnnconvgradient.h"
void crossbowCudnnKernelConvGradient (void *args) {
float alpha, beta;
crossbowStreamP s = (crossbowStreamP) args;
/* Get input buffer */
crossbowDataBufferP input = crossbowStreamGetCurrentInput (s);
/* Get model variab... | 2139ccd9adf30a422ce6ab8bec9b748752ae0fb3.cu | #include "cudnnconvgradient.h"
void crossbowCudnnKernelConvGradient (void *args) {
float alpha, beta;
crossbowStreamP s = (crossbowStreamP) args;
/* Get input buffer */
crossbowDataBufferP input = crossbowStreamGetCurrentInput (s);
/* Get model variable `weights` and `bias` */
int hasBias = crossbowKernelCon... |
d36cc9ff6fb3a31e43a2d59ba20000344165829e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <cstdlib>
#include <iostream>
#include <math.h>
#include <time.h>
#include <hipfft.h>
#include <hipfftXt.h>
#include <hip/hip_complex.h>
#include <random>
#include "f... | d36cc9ff6fb3a31e43a2d59ba20000344165829e.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <cstdlib>
#include <iostream>
#include <math.h>
#include <time.h>
#include <cufft.h>
#include <cufftXt.h>
#include <cuComplex.h>
#include <random>
#include "fdtdrav.h"
//using namespace std;
using std::cout;
using std::endl;
... |
f2038828edf9dc155335260e1ee02de823272782.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void init_i32 (int* vector, int value, int len) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < len) {
vector[idx] = value;
}
} | f2038828edf9dc155335260e1ee02de823272782.cu | #include "includes.h"
__global__ void init_i32 (int* vector, int value, int len) {
int idx = blockIdx.x * blockDim.x + threadIdx.x;
if (idx < len) {
vector[idx] = value;
}
} |
4bcd81e297229ca532672a2f722ce4ab1d72f94a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define N (1024)
// CUDA kernel. Each thread takes care of one element of c
__global__ void vecAdd(float *a, float *b, float *c)
{
// Get our global thread ID
int id =... | 4bcd81e297229ca532672a2f722ce4ab1d72f94a.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define N (1024)
// CUDA kernel. Each thread takes care of one element of c
__global__ void vecAdd(float *a, float *b, float *c)
{
// Get our global thread ID
int id = blockIdx.x*blockDim.x+threadIdx.x;
// Make sure we do not go out of bounds
// ... |
3cbea43a66746e62431a047138cae30b4fa0ddd3.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2017 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 mu... | 3cbea43a66746e62431a047138cae30b4fa0ddd3.cu | /*
* Copyright (c) 2017 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 co... |
99e18ba587d87a05b334dfbc2569fef8720664e0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not ... | 99e18ba587d87a05b334dfbc2569fef8720664e0.cu | /*
* SPDX-FileCopyrightText: Copyright (c) 1993-2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the Lic... |
8481d3444acb727e3b4e90a8ec15649838df12b6.hip | // !!! This is a file automatically generated by hipify!!!
#include "gpu.h"
// GPU
void checkErrors(const char *label, const char *file, int line)
{
#ifdef MY_TEST
hipError_t err;
err = hipDeviceSynchronize();
if (err != hipSuccess)
{
char *e = (char*) hipGetErrorString(err);
printf("CUDA Error: %s (at %s)\... | 8481d3444acb727e3b4e90a8ec15649838df12b6.cu | #include "gpu.h"
// Проверка ошибок GPU
void checkErrors(const char *label, const char *file, int line)
{
#ifdef MY_TEST
cudaError_t err;
err = cudaThreadSynchronize();
if (err != cudaSuccess)
{
char *e = (char*) cudaGetErrorString(err);
printf("CUDA Error: %s (at %s)\nFile:\"%s\"\nLine:\"%d\"\n\n", e, label,... |
c7596a586e89095c1690d35ac74f816cba0b2282.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "yeti_rank_pointwise.cuh"
#include "radix_sort_block.cuh"
#include <catboost/cuda/cuda_lib/kernel/kernel.cuh>
#include <catboost/cuda/cuda_lib/kernel/arch.cuh>
#include <catboost/cuda/cuda_util/kernel/kernel_helpers.cuh>
#i... | c7596a586e89095c1690d35ac74f816cba0b2282.cu | #include "yeti_rank_pointwise.cuh"
#include "radix_sort_block.cuh"
#include <catboost/cuda/cuda_lib/kernel/kernel.cuh>
#include <catboost/cuda/cuda_lib/kernel/arch.cuh>
#include <catboost/cuda/cuda_util/kernel/kernel_helpers.cuh>
#include <catboost/cuda/cuda_util/kernel/fill.cuh>
#include <catboost/cuda/cuda_util/kerne... |
4f0b5e6ca54c6b77911a2f248e422c83f9a1590e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <vector>
#include "caffe/layers/superpixel_centroid_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
__device__ double atomicAddD3(double* address, double val)
{
unsigned long long int* address_as_ul... | 4f0b5e6ca54c6b77911a2f248e422c83f9a1590e.cu | #include <vector>
#include "caffe/layers/superpixel_centroid_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
__device__ double atomicAddD3(double* address, double val)
{
unsigned long long int* address_as_ull =
(unsigned long long int*)address;
unsigned long long int old = *address_as_ull, a... |
8660a67b42f48023698a35ffb8a0cba1284a3da1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
... | 8660a67b42f48023698a35ffb8a0cba1284a3da1.cu | /*
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agre... |
6e62bb4a87fb56f10f22f38bbb9cafc4d39f386a.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
@generated from sparse/blas/zgeelltmv.cu, normal z -> d,... | 6e62bb4a87fb56f10f22f38bbb9cafc4d39f386a.cu | /*
-- MAGMA (version 2.5.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2019
@generated from sparse/blas/zgeelltmv.cu, normal z -> d, Wed Jan 2 14:18:53 2019
*/
#include "magmasparse_internal.h"
#define BLOCK_SIZE 512
... |
9b89b5ec387ad69512340c2f92ef42aa8948c114.hip | // !!! This is a file automatically generated by hipify!!!
#include "../common/common.h"
#include <hip/hip_runtime.h>
#include <stdio.h>
#define DIM 128
/*
* An example of using shared memory to optimize performance of a parallel
* reduction by constructing partial results for a thread block in shared memory
* befo... | 9b89b5ec387ad69512340c2f92ef42aa8948c114.cu | #include "../common/common.h"
#include <cuda_runtime.h>
#include <stdio.h>
#define DIM 128
/*
* An example of using shared memory to optimize performance of a parallel
* reduction by constructing partial results for a thread block in shared memory
* before flushing to global memory.
*/
extern __shared__ int dsmem... |
5bd0496cb0ec98c9328936c5ca3a022e86101f64.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stddef.h>
#include <stdint.h>
#include "model_gpu_utils.h"
#include "ten_tusscher_2004_epi_S3_6.h"
extern "C" SET_ODE_INITIAL_CONDITIONS_GPU(set_model_initial_conditions_gpu) {
print_to_stdout_and_file("Using ten... | 5bd0496cb0ec98c9328936c5ca3a022e86101f64.cu | #include <stddef.h>
#include <stdint.h>
#include "model_gpu_utils.h"
#include "ten_tusscher_2004_epi_S3_6.h"
extern "C" SET_ODE_INITIAL_CONDITIONS_GPU(set_model_initial_conditions_gpu) {
print_to_stdout_and_file("Using ten Tusscher 2004 epi GPU model\n");
// execution configuration
const int GRID = ... |
de634d6d88444a6a29a978a4393933687a6cea58.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "billow.cuh"
#include "..\..\cpp\modules\generators\Billow.h"
__device__ float billow2D_Simplex(float2 point, float freq, float lacun, float persist, int init_seed, int octaves) {
float result = 0.0f;
float amplitude = 1... | de634d6d88444a6a29a978a4393933687a6cea58.cu | #include "billow.cuh"
#include "..\..\cpp\modules\generators\Billow.h"
__device__ float billow2D_Simplex(float2 point, float freq, float lacun, float persist, int init_seed, int octaves) {
float result = 0.0f;
float amplitude = 1.0f;
// Scale starting point by frequency.
point.x = point.x * freq;
point.y = point.... |
5bc2a5dfb47c82fe42a01897a3c2b76cee958b98.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*... | 5bc2a5dfb47c82fe42a01897a3c2b76cee958b98.cu | /*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... |
0ffdfed1c78491ee570066149bba36c40a3e7a28.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* BSD 2-Clause License
*
* Copyright (c) 2020, Alessandro Capotondi
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following ... | 0ffdfed1c78491ee570066149bba36c40a3e7a28.cu | /*
* BSD 2-Clause License
*
* Copyright (c) 2020, Alessandro Capotondi
* 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 copyri... |
d93a6f19c58363c0e024f127f6dd9ef22f41ebcc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <random>
#include <iostream>
#include <cmath>
#include <vector>
#include <math.h>
#include <stdio.h>
#include <rocblas.h>
#include <hiprand/hiprand.h>
#define recur_batch_size 2;
#define TRAINING (false)
#ifndef PER... | d93a6f19c58363c0e024f127f6dd9ef22f41ebcc.cu | #include <random>
#include <iostream>
#include <cmath>
#include <vector>
#include <math.h>
#include <stdio.h>
#include <cublas_v2.h>
#include <curand.h>
#define recur_batch_size 2;
#define TRAINING (false)
#ifndef PERFOPTS
#define PERFOPTS (31)
#endif
int option = 0;
#define GROUP_GEMM ((PERFOPTS & 1))
#def... |
635a26fbade48c6c82db9df001fb4ce49b9ab063.hip | // !!! This is a file automatically generated by hipify!!!
#include <iomanip>
#include <memory>
#include <chrono>
#include <vector>
#include <tuple>
#include <hip/hip_runtime.h>
#include <cudnn.h>
#include <hiprand/hiprand.h>
#include <thrust/device_ptr.h>
#include <thrust/fill.h>
#include "tensor.h"
#include "cudnn... | 635a26fbade48c6c82db9df001fb4ce49b9ab063.cu | #include <iomanip>
#include <memory>
#include <chrono>
#include <vector>
#include <tuple>
#include <cuda.h>
#include <cudnn.h>
#include <curand.h>
#include <thrust/device_ptr.h>
#include <thrust/fill.h>
#include "tensor.h"
#include "cudnn_helper.h"
#define USE_GET 0
class cudnnCNN {
TensorDescriptor4d<float> x... |
e505e11fa2efb0afd8689fc1e01aafb18895d4a4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <unittest/unittest.h>
#include <thrust/partition.h>
#include <thrust/functional.h>
#include <thrust/execution_policy.h>
template<typename Iterator, typename Predicate, typename Iterator2>
__global__
void is_partitioned_ke... | e505e11fa2efb0afd8689fc1e01aafb18895d4a4.cu | #include <unittest/unittest.h>
#include <thrust/partition.h>
#include <thrust/functional.h>
#include <thrust/execution_policy.h>
template<typename Iterator, typename Predicate, typename Iterator2>
__global__
void is_partitioned_kernel(Iterator first, Iterator last, Predicate pred, Iterator2 result)
{
*result = thru... |
8258fdf5e2f4e1dbf8d471f01c2d46102fc7cd48.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <algorithm>
#include <cstdlib>
#include <ctime>
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <cassert>
//define the chunk sizes that each threadblock will work on
#define BLKXSIZE 32
#define BLKYSIZE 4
#define BLKZSIZE 4... | 8258fdf5e2f4e1dbf8d471f01c2d46102fc7cd48.cu | #include <iostream>
#include <algorithm>
#include <cstdlib>
#include <ctime>
#include <cuda.h>
#include <stdio.h>
#include <cassert>
//define the chunk sizes that each threadblock will work on
#define BLKXSIZE 32
#define BLKYSIZE 4
#define BLKZSIZE 4
#define Q 19
#define lx 10
#define ly 10
#define lz 5
// for cuda er... |
6ba89a69011980073779f0925642b24c90f5f0f8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright 2019 Stanford, NVIDIA
*
* 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:/... | 6ba89a69011980073779f0925642b24c90f5f0f8.cu | /* Copyright 2019 Stanford, NVIDIA
*
* 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 t... |
687c86f988ace5b515656639a3107244622a1768.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.5.0-beta3) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date July 2014
@generated from zcompact.cu normal z -> d, Fri Jul 18... | 687c86f988ace5b515656639a3107244622a1768.cu | /*
-- MAGMA (version 1.5.0-beta3) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date July 2014
@generated from zcompact.cu normal z -> d, Fri Jul 18 17:34:28 2014
@author Stan Tomov
*/
#include "common_magma.h"
#include <assert.h... |
d73568d29afccd5c4a61267cb8b9e43207fec719.hip | // !!! This is a file automatically generated by hipify!!!
/*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@generated from sparse/blas/zmdot_shfl.cu, normal z -> s, Mon Jun 25 18:24:25 2018
... | d73568d29afccd5c4a61267cb8b9e43207fec719.cu | /*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@generated from sparse/blas/zmdot_shfl.cu, normal z -> s, Mon Jun 25 18:24:25 2018
@author Moritz Kreutzer
*/
#include "magmasparse_interna... |
a7038850fa6af77540ca92d85f573569515e0924.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
... | a7038850fa6af77540ca92d85f573569515e0924.cu | /*
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agre... |
715429c42386dd206b8d50e88836e09870951093.hip | // !!! This is a file automatically generated by hipify!!!
/* Compile with -lcublas flag */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <hip/hip_runtime.h>
#include <rocblas.h>
#define N 275 // Matrix size
/*
static void simple_sgemm(int n, float alpha, const float *A, const float *B, float be... | 715429c42386dd206b8d50e88836e09870951093.cu | /* Compile with -lcublas flag */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <cuda_runtime.h>
#include <cublas_v2.h>
#define N 275 // Matrix size
/*
static void simple_sgemm(int n, float alpha, const float *A, const float *B, float beta, float *C) {
int i, j, k;
for (i = 0; i < n; ++i) {
... |
7af2b297cf472e2cbc53dcfb318b04be163e61d8.hip | // !!! This is a file automatically generated by hipify!!!
/*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
@generated from sparse/blas/zgeisai_16.cu, normal z -> s, Sun Nov 20 20:20:42 2016
... | 7af2b297cf472e2cbc53dcfb318b04be163e61d8.cu | /*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
@generated from sparse/blas/zgeisai_16.cu, normal z -> s, Sun Nov 20 20:20:42 2016
*/
#include "magmasparse_internal.h"
#define PRECISION_s
#... |
17f6cdc2e4f0e29e384a3ed47d1283db1d50dbee.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use,... | 17f6cdc2e4f0e29e384a3ed47d1283db1d50dbee.cu | /*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use, reproduction, disclosure, or distribution of this software
* and related documentation... |
940acf6f07ddfd70ada9a39e30fdbd97d0b18e39.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdint.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <gmp.h>
#include <cassert>
#include "cgbn/cgbn.h"
#include "utility/support.h"
#define TPI 32
#define BITS 768
#define TPB 128 // the number of threads per b... | 940acf6f07ddfd70ada9a39e30fdbd97d0b18e39.cu | #include <stdio.h>
#include <stdint.h>
#include <stdlib.h>
#include <cuda.h>
#include <gmp.h>
#include <cassert>
#include "cgbn/cgbn.h"
#include "utility/support.h"
#define TPI 32
#define BITS 768
#define TPB 128 // the number of threads per block to launch (must be divisible by 32
typedef struct {
cgbn_mem_t... |
0eada1b6bf058b348ce2b50a332412d05d78fd19.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#foreach( $degs in $degrees )
// P(X)/Q(X) = a_0 + a_1*X + a_2*X^2 + ... + a_n*X^n / 1 + |b_0||X| + |b_1||X|^2 + ... + |b_i||X|^{i+1}
#set( $degs_a = $degs[0] )
#set( $degs_b = $degs[1] )
#set( $coefs_a = $degs_a )
#set( $coefs_b ... | 0eada1b6bf058b348ce2b50a332412d05d78fd19.cu | #foreach( $degs in $degrees )
// P(X)/Q(X) = a_0 + a_1*X + a_2*X^2 + ... + a_n*X^n / 1 + |b_0||X| + |b_1||X|^2 + ... + |b_i||X|^{i+1}
#set( $degs_a = $degs[0] )
#set( $degs_b = $degs[1] )
#set( $coefs_a = $degs_a )
#set( $coefs_b = $degs_b - 1 )
#set( $a_counts = $coefs_a + 1 )
#set( $b_counts = $coefs_b + 1 )
#set( ... |
90cbef594fdead6d008a8cd4673c4d0b12361e6d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "stdafx.h"
#include "cuda_loss_function.h"
#include "core/cuda_platform.h"
using namespace np::engine::loss;
using namespace np::engine::loss::cuda;
using namespace np::core::cuda;
using namespace std;
LossFunction* Loss... | 90cbef594fdead6d008a8cd4673c4d0b12361e6d.cu | #include "stdafx.h"
#include "cuda_loss_function.h"
#include "core/cuda_platform.h"
using namespace np::engine::loss;
using namespace np::engine::loss::cuda;
using namespace np::core::cuda;
using namespace std;
LossFunction* LossFunction::CreateInstanceCUDA(core::cuda::CudaInstance* cuda_instance, _loss_type type, b... |
db51d158b1359104f1d5859526213cb613aa66e0.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 "computeScaledHeatmap.cu"
#include<chrono>
#include<iostream>
usi... | db51d158b1359104f1d5859526213cb613aa66e0.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 "computeScaledHeatmap.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,... |
ab24b7dfa64d45c4036984dd32fe6c56d59c8d44.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <caffepro/layers/diag4d_operation_layer.h>
#include <caffepro/proto/caffe.pb.h>
#include <caffepro/utils/utils.h>
namespace caffepro {
diag4d_operation_layer::diag4d_operation_layer(caffepro_context *context, const Layer... | ab24b7dfa64d45c4036984dd32fe6c56d59c8d44.cu |
#include <caffepro/layers/diag4d_operation_layer.h>
#include <caffepro/proto/caffe.pb.h>
#include <caffepro/utils/utils.h>
namespace caffepro {
diag4d_operation_layer::diag4d_operation_layer(caffepro_context *context, const LayerParameter ¶m)
: caffepro_layer(context, param) {
attr_.num_inputs_min = attr_.n... |
10ed28bc11ba93ef082b59589e71d66545d9b463.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... | 10ed28bc11ba93ef082b59589e71d66545d9b463.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 requir... |
3aac4c6ef66bfc45c7f2c068261ece83b39a07dc.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <hiprand/hiprand_kernel.h>
#define N 1024
//making my own strcpy and and str cat because screw cuda, not giving access to libraries :(... | 3aac4c6ef66bfc45c7f2c068261ece83b39a07dc.cu | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <cuda.h>
#include <curand.h>
#include <curand_kernel.h>
#define N 1024
//making my own strcpy and and str cat because screw cuda, not giving access to libraries :(
__device__ char* nStrCpy(char *dest, const char *src) {
int i =0;
do {
dest[i] = sr... |
7681585de8d1bf6fb28e94db785d57399cb2f85b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
/* square root of number of threads in a block (the number of threads in a block is NT^2) */
#define NT 32
/* length of the target domain */
#define L 10.0
/* number of ... | 7681585de8d1bf6fb28e94db785d57399cb2f85b.cu | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
/* square root of number of threads in a block (the number of threads in a block is NT^2) */
#define NT 32
/* length of the target domain */
#define L 10.0
/* number of division for the discretization of the target domain */
#define N 256
/* dimensionless... |
278dc5a58d7bb0cbf189e5fa9c9fa97776211537.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
unsigned int filter_radius = 16;
#define FILTER_LENGTH (2 * 16 + 1)
#define ABS(val) ((val)<0.0 ? (-(val)) : (val))
#define accuracy 0.05
#define TYPE float
#define cudaCheckError() { ... | 278dc5a58d7bb0cbf189e5fa9c9fa97776211537.cu | #include <stdio.h>
#include <stdlib.h>
unsigned int filter_radius = 16;
#define FILTER_LENGTH (2 * 16 + 1)
#define ABS(val) ((val)<0.0 ? (-(val)) : (val))
#define accuracy 0.05
#define TYPE float
#define cudaCheckError() { \
cudaError... |
187f58c0c15f35ea61a80173956b32a1af480c49.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License,... | 187f58c0c15f35ea61a80173956b32a1af480c49.cu | /*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
*... |
894ca140de31790b057579cd0ff25c2eabff1533.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2009, Andrew Corrigan, acorriga@gmu.edu
// This code is from the AIAA-2009-4001 paper
#include <helper_cuda.h>
#include <helper_timer.h>
#include <iostream>
#include <fstream>
#if CUDART_VERSION < 3000
struct double3... | 894ca140de31790b057579cd0ff25c2eabff1533.cu | // Copyright 2009, Andrew Corrigan, acorriga@gmu.edu
// This code is from the AIAA-2009-4001 paper
#include <helper_cuda.h>
#include <helper_timer.h>
#include <iostream>
#include <fstream>
#if CUDART_VERSION < 3000
struct double3
{
double x, y, z;
};
#endif
/*
* Options
*
*/
#define GAMMA 1.4
#define iterati... |
5351db2db2f730d26df0b0cc30928cee187cb553.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*... | 5351db2db2f730d26df0b0cc30928cee187cb553.cu | /*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... |
c4212861b77f42997f2815bfa59c8855ae58e54b.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 "matrixMultiplicationKernel.hip"
#include<chrono>
#include<iostre... | c4212861b77f42997f2815bfa59c8855ae58e54b.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 "matrixMultiplicationKernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8... |
a960ccff25bca93b188ac3f4bb3a3f903eca6451.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 "kernel_scanNaiveSumVertical.cu"
#include<chrono>
#include<iostre... | a960ccff25bca93b188ac3f4bb3a3f903eca6451.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 "kernel_scanNaiveSumVertical.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,... |
b08c84e8824c004daaeac6cb6f8ce49a055d6d70.hip | // !!! This is a file automatically generated by hipify!!!
// This is here so Netbeans doesn't error-spam my IDE
#if !defined(__HIPCC__)
// define the keywords, so that the IDE does not complain about them
#define __global__
#define __device__
#define __shared__
#define __constant__
#define bloc... | b08c84e8824c004daaeac6cb6f8ce49a055d6d70.cu | // This is here so Netbeans doesn't error-spam my IDE
#if !defined(__CUDACC__)
// define the keywords, so that the IDE does not complain about them
#define __global__
#define __device__
#define __shared__
#define __constant__
#define blockIdx.x 1
#define blockDim.x 1
#define threadIdx.x ... |
520164a70fbdc5b1bc6f75fa1408ddbf151b3234.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Modification of Ingemar Ragnemalm "Real Hello World!" program
// To compile execute below:
// nvcc hello-world.cu -L /usr/local/cuda/lib -lcudart -o hello-world
#include <stdio.h>
// N = data size...
// Changing this will incre... | 520164a70fbdc5b1bc6f75fa1408ddbf151b3234.cu | // Modification of Ingemar Ragnemalm "Real Hello World!" program
// To compile execute below:
// nvcc hello-world.cu -L /usr/local/cuda/lib -lcudart -o hello-world
#include <stdio.h>
// N = data size...
// Changing this will increase array size and will change number of blocks
#define N 128
#define BLOCK_SIZE 32
#de... |
e3143cf34b290bea68f4616822968a23c92629a3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <bits/stdc++.h>
#include <thrust/device_vector.h>
#include <thrust/copy.h>
#include <thrust/execution_policy.h>
#define to_ptr(x) thrust::raw_pointer_cast(&x[0])
#define gpu_copy(x, y) thrust::copy((x).begin(), (x).end(), (... | e3143cf34b290bea68f4616822968a23c92629a3.cu | #include <bits/stdc++.h>
#include <thrust/device_vector.h>
#include <thrust/copy.h>
#include <thrust/execution_policy.h>
#define to_ptr(x) thrust::raw_pointer_cast(&x[0])
#define gpu_copy(x, y) thrust::copy((x).begin(), (x).end(), (y).begin())
#define gpu_copy_to(x, y, pos) thrust::copy((x).begin(), (x).end(), (y).begi... |
16a8a1de0f9a539d2e315f672c9e8ad1b266928a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Created by on 2020/11/10.
//
#include "consts.h"
#include "utils.h"
#include "gpu_utils.h"
__constant__ float dev_coeff[R + 1];
__global__ void naive_kernel(const float *src, float *dst, const int NX, const int NY, const i... | 16a8a1de0f9a539d2e315f672c9e8ad1b266928a.cu | //
// Created by 王张苏徽 on 2020/11/10.
//
#include "consts.h"
#include "utils.h"
#include "gpu_utils.h"
__constant__ float dev_coeff[R + 1];
__global__ void naive_kernel(const float *src, float *dst, const int NX, const int NY, const int NZ) {
int gx = blockIdx.x * blockDim.x + threadIdx.x;
int gy = blockIdx.y... |
b7be925bbea332f10c2a8ff0f010bddb335f2f38.hip | // !!! This is a file automatically generated by hipify!!!
// General
#include <iostream>
#include <algorithm>
#include <sstream>
#include <assert.h>
// Warpkernel
#include "warpkernel.hpp"
// cusp
#include <cusp/coo_matrix.h>
#include <cusp/io/matrix_market.h>
#include <cusp/csr_matrix.h>
#include <cusp/multiply.h>
#... | b7be925bbea332f10c2a8ff0f010bddb335f2f38.cu | // General
#include <iostream>
#include <algorithm>
#include <sstream>
#include <assert.h>
// Warpkernel
#include "warpkernel.hpp"
// cusp
#include <cusp/coo_matrix.h>
#include <cusp/io/matrix_market.h>
#include <cusp/csr_matrix.h>
#include <cusp/multiply.h>
#include <cusp/detail/timer.h>
#include <cusp/hyb_matrix.h>
... |
4451802c8b2322ffd859073f0941b02b211084af.hip | // !!! This is a file automatically generated by hipify!!!
#include <nori/bumpMap.h>
#include <filesystem/resolver.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
NORI_NAMESPACE_BEGIN
__device__ Vector3f BumpMap::eval(const Point2f& uv, const Frame& f... | 4451802c8b2322ffd859073f0941b02b211084af.cu | #include <nori/bumpMap.h>
#include <filesystem/resolver.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
NORI_NAMESPACE_BEGIN
__device__ Vector3f BumpMap::eval(const Point2f& uv, const Frame& frame) {
// rescale and shift
float x = (uv.x()/m_... |
e16444d64f4c758328a39ac08f4513b0bed262e9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Homework 1
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color
//is specified by how much Red, Grean and Blue is in it.
//The 'A' stands for Alpha and is used for transparency, ... | e16444d64f4c758328a39ac08f4513b0bed262e9.cu | // Homework 1
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color
//is specified by how much Red, Grean and Blue is in it.
//The 'A' stands for Alpha and is used for transparency, it will be
//ignored in this homework.
//Each channel Red, Blue, Green and Alpha is rep... |
913f497e8ad8fb92f78447f4049b32f7c1082e4e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <cfloat>
#include <cmath>
#include <vector>
#include "caffe/layer.hpp"
#include "caffe/vision_layers.hpp"
#include "caffe/sds_layers.hpp"
#include "caffe/util/math_functions.hpp"
using std::max;
using... | 913f497e8ad8fb92f78447f4049b32f7c1082e4e.cu | #include <algorithm>
#include <cfloat>
#include <cmath>
#include <vector>
#include "caffe/layer.hpp"
#include "caffe/vision_layers.hpp"
#include "caffe/sds_layers.hpp"
#include "caffe/util/math_functions.hpp"
using std::max;
using std::min;
namespace caffe {
template <typename Dtype>
inline Dtype sigmoid(Dtype x) {
... |
a39c0adc05013487938aa43775bf172cb74ca63f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "pairwise_transform.h"
#define MIN 1e-12
__device__ double op(double d1,double d2,double *params) {
double diff = d1 - d2;
double absDiff = abs(diff);
if(absDiff < MIN)
return 1;
retu... | a39c0adc05013487938aa43775bf172cb74ca63f.cu | #include "pairwise_transform.h"
#define MIN 1e-12
__device__ double op(double d1,double d2,double *params) {
double diff = d1 - d2;
double absDiff = abs(diff);
if(absDiff < MIN)
return 1;
return 0;
}
__device__ double op(double d1,double *params) {
return d1;
}
extern "... |
093514d50a57960b850eff6c36b92c140286eba9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
extern "C" {
#define FLT_MIN 1.175494351e-38F
#define FLT_MAX 3.402823466e+38F
__global__
void separateChannels(const uchar4* const inputImageRGBA,
int numRows,
i... | 093514d50a57960b850eff6c36b92c140286eba9.cu | extern "C" {
#define FLT_MIN 1.175494351e-38F
#define FLT_MAX 3.402823466e+38F
__global__
void separateChannels(const uchar4* const inputImageRGBA,
int numRows,
int numCols,
float* const redChannel,
... |
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