hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
4dde0ef29829b73052f4f105b4c11532ae9559cb.hip | // !!! This is a file automatically generated by hipify!!!
#include <ctype.h>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <sys/times.h>
#include <time.h>
#include <math.h>
#include <hip/hip_runtime.h>
#define PI 3.14159265358979323846
#define FactorArcosegRad 0.00000484814
#define BLOQUESIZE 4
... | 4dde0ef29829b73052f4f105b4c11532ae9559cb.cu | #include <ctype.h>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <sys/times.h>
#include <time.h>
#include <math.h>
#include <cuda_runtime.h>
#define PI 3.14159265358979323846
#define FactorArcosegRad 0.00000484814
#define BLOQUESIZE 4
clock_t timestart, timeend;
/**
@brief Función que transforma... |
8c94a5a30370517f70a19baf03e954d82bf9b284.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
__device__ void mul(double a, double b, double *res)
{
*res = a * b;
// NaN
*res = (*res)-(*res) / (*res)-(*res);
}
__global__ void dot_prod(double *x, double *y, int size)
{
double d;
for (int i=0; ... | 8c94a5a30370517f70a19baf03e954d82bf9b284.cu |
#include <stdio.h>
__device__ void mul(double a, double b, double *res)
{
*res = a * b;
// NaN
*res = (*res)-(*res) / (*res)-(*res);
}
__global__ void dot_prod(double *x, double *y, int size)
{
double d;
for (int i=0; i < size; ++i)
{
double tmp;
mul(x[i], y[i], &tmp);
d += tmp;
}
int t... |
d4d75da6774cffba6ee472656e43389e87298d88.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// ------------------------------------------------------------------
// Flow-Guided Feature Aggregation
// Copyright (c) 2017 Microsoft
// Licensed under The MIT License
// Written by Yuwen Xiong
// --------------------------------... | d4d75da6774cffba6ee472656e43389e87298d88.cu | // ------------------------------------------------------------------
// Flow-Guided Feature Aggregation
// Copyright (c) 2017 Microsoft
// Licensed under The MIT License
// Written by Yuwen Xiong
// ------------------------------------------------------------------
// Based on:
// Faster R-CNN
// Copyright (c) 2015 Mi... |
63ab48dc491aa1fafb08701d18f1b4739f3e0c44.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdlib.h>
#include <math.h>
#include <float.h>
#include <helper_cuda.h>
#include <cu-kd-search.cuh>
#include "kd-tree-build.cuh"
__device__ __host__
float cuDist(struct Point qp, struct Node point)
{
float dx = qp.p[... | 63ab48dc491aa1fafb08701d18f1b4739f3e0c44.cu | #include <stdlib.h>
#include <math.h>
#include <float.h>
#include <helper_cuda.h>
#include <cu-kd-search.cuh>
#include "kd-tree-build.cuh"
__device__ __host__
float cuDist(struct Point qp, struct Node point)
{
float dx = qp.p[0] - point.p[0],
dy = qp.p[1] - point.p[1],
dz = qp.p[2] - point.p[2... |
a28687bbf17326b09c4f2c2424b3f643ae66e5b4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
//////////////////////////float3////////////////////////////////
inline __device__ float3 operator+(float3 a, float b)
{
return make_float3(a.x + b, a.y + b, a.z + b);
}
inline __device__ float3 operator-(floa... | a28687bbf17326b09c4f2c2424b3f643ae66e5b4.cu | #include <stdio.h>
//////////////////////////float3////////////////////////////////
inline __device__ float3 operator+(float3 a, float b)
{
return make_float3(a.x + b, a.y + b, a.z + b);
}
inline __device__ float3 operator-(float3 a, float b)
{
return make_float3(a.x - b, a.y - b, a.z - b);
}
inline __device__ fl... |
e69b666110d25ac93023e77f3357351f501b68ec.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <string.h>
#include <experimental/filesystem>
#include <list>
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <armadillo>
#include <chrono>
#includ... | e69b666110d25ac93023e77f3357351f501b68ec.cu | #include <iostream>
#include <string.h>
#include <experimental/filesystem>
#include <list>
#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <armadillo>
#include <chrono>
#include <time.h>
#include <omp.h>
#include "svd3_cuda.h"
#include "stdio.h"
using namespace s... |
e27de923f6729c0dfaea987ac8408ad1f9ef76e4.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <math.h>
#define blockSize 512
#define real float
__global__ void redukcja (int N, real* v, real* out)
{
size_t s = threadIdx.x + blockIdx.x * blockDim.x*2;
int sID = threadIdx.x;
size_t i;
__shar... | e27de923f6729c0dfaea987ac8408ad1f9ef76e4.cu | #include <cuda.h>
#include <stdio.h>
#include <math.h>
#define blockSize 512
#define real float
__global__ void redukcja (int N, real* v, real* out)
{
size_t s = threadIdx.x + blockIdx.x * blockDim.x*2;
int sID = threadIdx.x;
size_t i;
__shared__ real pom[blockSize];
pom[sID] = 0;
if (s<N/2)
pom[sID] = v[... |
fbcaa52b3628a61259365d50d59fdd3300a10940.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// This uses a lot of code from Caffe (http://caffe.berkeleyvision.org/);
// sources are clearly marked. Below we reproduce the original license of
// the Caffe software.
/*
Copyright (c) 2014, The Regents of the University of Calif... | fbcaa52b3628a61259365d50d59fdd3300a10940.cu | // This uses a lot of code from Caffe (http://caffe.berkeleyvision.org/);
// sources are clearly marked. Below we reproduce the original license of
// the Caffe software.
/*
Copyright (c) 2014, The Regents of the University of California (Regents)
All rights reserved.
Redistribution and use in source and binary forms,... |
be0ca1e33af09180ae9d338346f8072837bd4831.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime_api.h>
#include <device_launch_parameters.h>
#include <hip/driver_types.h>
#include <host_defines.h>
#include <opencv2/core/core.hpp>
#include <opencv2/core/gpumat.hpp>
#include <opencv2/core/mat.hpp>
#include <opencv2/core/operations.... | be0ca1e33af09180ae9d338346f8072837bd4831.cu | #include <cuda_runtime_api.h>
#include <device_launch_parameters.h>
#include <driver_types.h>
#include <host_defines.h>
#include <opencv2/core/core.hpp>
#include <opencv2/core/gpumat.hpp>
#include <opencv2/core/mat.hpp>
#include <opencv2/core/operations.hpp>
#include <opencv2/core/types_c.h>
#include <opencv2/gpu/gpu.h... |
99f1629a9e49cc45cf437e2ee6a9b2f50f03adea.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "checkerboard/cuda/refineLines.h"
__global__ void RefineLinesKernel(RefineLinesParams params, int *lines,
int *linesPointCount, int *linePoints,
int *disc... | 99f1629a9e49cc45cf437e2ee6a9b2f50f03adea.cu | #include "checkerboard/cuda/refineLines.h"
__global__ void RefineLinesKernel(RefineLinesParams params, int *lines,
int *linesPointCount, int *linePoints,
int *discardedLinePoints,
int *discardedLinePointCount) {
in... |
e90dd8fa90295ff59ef320394c8edebdc92b61a8.hip | // !!! This is a file automatically generated by hipify!!!
/*************************************************************************
/* ECE 285: GPU Programmming 2019 Winter quarter
/* Author and Instructer: Hou Wang
/* Copyright 2019
/* University of California, San Diego
/********************************************... | e90dd8fa90295ff59ef320394c8edebdc92b61a8.cu | /*************************************************************************
/* ECE 285: GPU Programmming 2019 Winter quarter
/* Author and Instructer: Hou Wang
/* Copyright 2019
/* University of California, San Diego
/*************************************************************************/
#include "cnn.h"
#include <a... |
bce4d3fb3336085ec9fc8fed26b4cfed3fde641d.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#include "bcsr.hpp"
#include "utils.hpp"
__device__ void swap(int* arr, int i, int j) {
int temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
return;
}
__global__ void bitonic_sort(float* mat, int ... | bce4d3fb3336085ec9fc8fed26b4cfed3fde641d.cu | #include <stdio.h>
#include <cuda_runtime.h>
#include "bcsr.hpp"
#include "utils.hpp"
__device__ void swap(int* arr, int i, int j) {
int temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
return;
}
__global__ void bitonic_sort(float* mat, int N, int* idx) {
__shared__ int nnz[8];
int tid = block... |
bcc5c89ab1942c5977d7c75893f6124f12bd3872.hip | // !!! This is a file automatically generated by hipify!!!
/*
1-bit BMMA code.
Runs at 500TOPS for matrix size of 4096x4096x8192.
Borrows largely from CUDA-SDK.
By Boyuan
*/
#include <assert.h>
#include <hip/hip_runtime.h>
#include <mma.h>
#include <stdio.h>
#include <helper_cuda.h>
#include <helper_function... | bcc5c89ab1942c5977d7c75893f6124f12bd3872.cu | /*
1-bit BMMA code.
Runs at 500TOPS for matrix size of 4096x4096x8192.
Borrows largely from CUDA-SDK.
By Boyuan
*/
#include <assert.h>
#include <cuda.h>
#include <mma.h>
#include <stdio.h>
#include <helper_cuda.h>
#include <helper_functions.h>
// GPU configuration.
#define WARP_SIZE 32
// MMA matrix tile ... |
198074e99dc9b3f0cb5bdcaf39b34813b8f1049b.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 "LSTMDeltaKernel.cu"
#include<chrono>
#include<iostream>
using na... | 198074e99dc9b3f0cb5bdcaf39b34813b8f1049b.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 "LSTMDeltaKernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{... |
06289c92c0d01a547017340369d7a3331ed730bd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__device__ int is_a_match(char *attempt) {
char plain_password1[] = "BP9843";
char plain_password2[] = "RP6870";
char plain_password3[] = "AP6498";
char plain_password4[] = "IP1354";
char *m = attempt;
char *s ... | 06289c92c0d01a547017340369d7a3331ed730bd.cu | #include "includes.h"
__device__ int is_a_match(char *attempt) {
char plain_password1[] = "BP9843";
char plain_password2[] = "RP6870";
char plain_password3[] = "AP6498";
char plain_password4[] = "IP1354";
char *m = attempt;
char *s = attempt;
char *c = attempt;
char *d = attempt;
char *p1 = plain_password1;
char *p2 = ... |
80272afbe99a2d02704b4a712c4b7ad44d903b00.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright RedPortal, mujjingun 2017 - 2018.
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE or copy at
// http://www.boost.org/LICENSE_1_0.txt)
#include <mgcp... | 80272afbe99a2d02704b4a712c4b7ad44d903b00.cu |
// Copyright RedPortal, mujjingun 2017 - 2018.
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE or copy at
// http://www.boost.org/LICENSE_1_0.txt)
#include <mgcpp/kernels/bits/fill.cuh>
#include <cmath>
#define BLK 64
namespace mgcpp
{
__globa... |
Simulator.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <GL/glew.h>
#include <GL/freeglut.h>
#include <hip/hip_runtime.h>
#include <cuda_gl_interop.h>
#include "Utilities.h"
#include "SpringsBuilder.h"
#include "bvh\BRTreeNode.h"
#include "bvh\BVHAccel.h"
#include "Cloth.h"
#include "O... | Simulator.cu | #include <iostream>
#include <GL/glew.h>
#include <GL/freeglut.h>
#include <cuda_runtime.h>
#include <cuda_gl_interop.h>
#include "Utilities.h"
#include "SpringsBuilder.h"
#include "bvh\BRTreeNode.h"
#include "bvh\BVHAccel.h"
#include "Cloth.h"
#include "ObjLoader.h"
#include "Verlet.h"
#include "Simulator.h"
using ... |
031ef0c656139d1c80824ce4e07c7a58f7f2c7b3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Ocelot 0.4.72 issue.
Steve Worley Oct 27 2009
sw@worley.com
Ocelot fails when running kernels using dynamic shared memory, in 32 bit only.
32 bit (ONLY!) Ubuntu 9.04.
CUDA 2.3
Compile with:
nvcc ocb... | 031ef0c656139d1c80824ce4e07c7a58f7f2c7b3.cu |
/* Ocelot 0.4.72 issue.
Steve Worley Oct 27 2009
sw@worley.com
Ocelot fails when running kernels using dynamic shared memory, in 32 bit only.
32 bit (ONLY!) Ubuntu 9.04.
CUDA 2.3
Compile with:
nvcc ocbug.cu -lOcelotExecutive -lOcelotTrace -lOcelotIr -lOcelotParser -lhydrazine -lcudart
ru... |
bbee07df98ec53f8429a02346d8f6c95c3cd128d.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include "hip/hip_runtime.h"
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
__global__ void reduction_neighbored_pairs(int * arr, int l, int offset)
{
int gid = blockDim.x * ... | bbee07df98ec53f8429a02346d8f6c95c3cd128d.cu | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include "cuda.h"
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
__global__ void reduction_neighbored_pairs(int * arr, int l, int offset)
{
int gid = blockDim.x * blockIdx.x + threadIdx.x;
if(gid>=offset)
return;
if(gid... |
c734b7f7445f7baee654de15d7df7beda261ba75.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2012, 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:
* * Redi... | c734b7f7445f7baee654de15d7df7beda261ba75.cu | /*
* Copyright (c) 2012, 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... |
c45d0a35a99fc8f31a749ad3eee37d055a0a14fa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Created by JEONGHYUNLEE on 2020/09/28.
//
#include <stdio.h>
#include <caffe/caffe.hpp>
#include "./common.hpp"
using namespace caffe;
typedef float Dtype;
// Kernel Function
__global__ void find_kernel(const int n,
... | c45d0a35a99fc8f31a749ad3eee37d055a0a14fa.cu | //
// Created by JEONGHYUNLEE on 2020/09/28.
//
#include <stdio.h>
#include <caffe/caffe.hpp>
#include "./common.hpp"
using namespace caffe;
typedef float Dtype;
// Kernel Function
__global__ void find_kernel(const int n,
const Dtype *target,
Dtype *idx,
... |
f40002799ba29b0e4164da4d1b9d25dadaec103b.hip | // !!! This is a file automatically generated by hipify!!!
/*
Copyright 2018 XIAOLIN WANG (xiaolin.wang@nict.go.jp; arthur.xlw@google.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:/... | f40002799ba29b0e4164da4d1b9d25dadaec103b.cu | /*
Copyright 2018 XIAOLIN WANG (xiaolin.wang@nict.go.jp; arthur.xlw@google.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 ap... |
8bd12e0cd2ca21e95f71cb711c7fb8e5370c794c.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 2018-2023 by XGBoost Contributors
* \author Rory Mitchell
*/
#include <thrust/execution_policy.h>
#include <thrust/inner_product.h>
#include <xgboost/data.h>
#include <xgboost/linear_updater.h>
#include "xgboost/span.h"
#include "coordinate... | 8bd12e0cd2ca21e95f71cb711c7fb8e5370c794c.cu | /**
* Copyright 2018-2023 by XGBoost Contributors
* \author Rory Mitchell
*/
#include <thrust/execution_policy.h>
#include <thrust/inner_product.h>
#include <xgboost/data.h>
#include <xgboost/linear_updater.h>
#include "xgboost/span.h"
#include "coordinate_common.h"
#include "../common/common.h"
#include "../commo... |
33379c44f9b56f14224e863fd224d73f491a20c2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <time.h>
#include "vec3.h"
#include "ray.h"
// limited version of checkCudaErrors from helper_cuda.h in CUDA examples
#define checkCudaErrors(val) check_cuda( (val), #val, __FILE__, __LINE__ )
void che... | 33379c44f9b56f14224e863fd224d73f491a20c2.cu | #include <iostream>
#include <time.h>
#include "vec3.h"
#include "ray.h"
// limited version of checkCudaErrors from helper_cuda.h in CUDA examples
#define checkCudaErrors(val) check_cuda( (val), #val, __FILE__, __LINE__ )
void check_cuda(cudaError_t result, char const *const func, const char *const file, int const li... |
46cb19e812d0211b2a72fde7873cd9ef22423cf9.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,... | 46cb19e812d0211b2a72fde7873cd9ef22423cf9.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.
*
*... |
45f71e4117ad1a15f600b2b2a7922823b15a2811.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* http://github.com/dusty-nv/jetson-inference
*/
#include "cudaFont.h"
#include "cudaMappedMemory.h"
#include "loadImage.h"
// constructor
cudaFont::cudaFont()
{
mCommandCPU = NULL;
mCommandGPU = NULL;
mCmdEntries = 0;
... | 45f71e4117ad1a15f600b2b2a7922823b15a2811.cu | /*
* http://github.com/dusty-nv/jetson-inference
*/
#include "cudaFont.h"
#include "cudaMappedMemory.h"
#include "loadImage.h"
// constructor
cudaFont::cudaFont()
{
mCommandCPU = NULL;
mCommandGPU = NULL;
mCmdEntries = 0;
mFontMapCPU = NULL;
mFontMapGPU = NULL;
mFontMapWidth = 0;
mFontMapHeight = 0;
... |
97a1013a140acc19936b5e2135a849dce07f10dc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/hip/Atomic.cuh>
#include <ATen/hip/HIPContext.h>
#include <ATen/NativeFunctions.h>
#include <ATen/TensorUtils.h>
#include <ATen/Utils.h>
#include <c10/util/Exception.h>
#include <THH/THHGeneral.... | 97a1013a140acc19936b5e2135a849dce07f10dc.cu | #include <ATen/ATen.h>
#include <ATen/cuda/Atomic.cuh>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/NativeFunctions.h>
#include <ATen/TensorUtils.h>
#include <ATen/Utils.h>
#include <c10/util/Exception.h>
#include <THC/THCGeneral.h>
#include <THC/THCNumerics.cuh>
#include <algorithm>
#include <cfloat>
#include <c... |
52caebcfc1ab93118b75f715d5798a7a079f9876.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "headers.h"
__managed__ int Dev_A;
__managed__ int Dev_B;
__managed__ int Dev_size;
#define TILE_SIZE 4
#define WINDOW_SIZE 3
__global__ void histogram_gray_sacale_CUDA(unsigned c... | 52caebcfc1ab93118b75f715d5798a7a079f9876.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "headers.h"
__managed__ int Dev_A;
__managed__ int Dev_B;
__managed__ int Dev_size;
#define TILE_SIZE 4
#define WINDOW_SIZE 3
__global__ void histogram_gray_sacale_CUDA(unsigned char* Image, int* Histogram) {
int x = blockIdx.x;
int y = bl... |
0131f88d581c41914f29b124eb66c3a98a366c13.hip | // !!! This is a file automatically generated by hipify!!!
#include <cassert>
#include <cfloat>
#include <hip/hip_runtime_api.h>
#include <hip/hip_runtime.h>
#include <iostream>
#include <stdio.h>
#include <list>
#include <map>
#include <math.h>
#include <stdlib.h>
#include <vector>
#include <set>
#include <algorithm>... | 0131f88d581c41914f29b124eb66c3a98a366c13.cu |
#include <cassert>
#include <cfloat>
#include <cuda_runtime_api.h>
#include <cuda.h>
#include <iostream>
#include <stdio.h>
#include <list>
#include <map>
#include <math.h>
#include <stdlib.h>
#include <vector>
#include <set>
#include <algorithm>
#include <iterator>
#include <fstream>
#include "../include/common.h"
#d... |
14d801e8dbb21e7c1658a551de7d57225bb005d3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of t... | 14d801e8dbb21e7c1658a551de7d57225bb005d3.cu | // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required... |
0a3ba52805ed5f73bd7b44ae626e6bec0f7d64fe.hip | // !!! This is a file automatically generated by hipify!!!
#include <unittest/unittest.h>
#include <thrust/functional.h>
#include <thrust/sequence.h>
#include <thrust/device_malloc_allocator.h>
#include <thrust/sort.h>
#include <thrust/system/hip/detail/detail/stable_radix_sort.h>
#if THRUST_DEVICE_SYSTEM == THRUST_D... | 0a3ba52805ed5f73bd7b44ae626e6bec0f7d64fe.cu | #include <unittest/unittest.h>
#include <thrust/functional.h>
#include <thrust/sequence.h>
#include <thrust/device_malloc_allocator.h>
#include <thrust/sort.h>
#include <thrust/system/cuda/detail/detail/stable_radix_sort.h>
#if THRUST_DEVICE_SYSTEM == THRUST_DEVICE_SYSTEM_CUDA
typedef unittest::type_list<
#if !(defi... |
a1b50e18364e17862257a1c4e3d48473fe5a59d9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Fractal.cuh"
#include "device_launch_parameters.h"
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
__device__ bool julian(int x, int y, int nRows, int nCols, float rc, float imc, float scaleFactor)
{
floa... | a1b50e18364e17862257a1c4e3d48473fe5a59d9.cu | #include "Fractal.cuh"
#include "device_launch_parameters.h"
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
__device__ bool julian(int x, int y, int nRows, int nCols, float rc, float imc, float scaleFactor)
{
float jx = scaleFactor * ((float)(nCols / 2) - x) / (nCols / 2);
float jy = scaleFactor * (... |
6ea4770b96047fcfa29bfcd2b275722f6967678d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
///////////////////////////////////////////////////////////////////////////
// ParallelWaveFunction: //
///////////////////////////////////////////////////////////////////////////
#in... | 6ea4770b96047fcfa29bfcd2b275722f6967678d.cu | ///////////////////////////////////////////////////////////////////////////
// ParallelWaveFunction: //
///////////////////////////////////////////////////////////////////////////
#include "ParallelWaveFunction.h"
//______________________________________________________... |
238e01aa40362b67ecaebad54d815861b896b4e6.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 "good_addition.cu"
#include<chrono>
#include<iostream>
using name... | 238e01aa40362b67ecaebad54d815861b896b4e6.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 "good_addition.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24... |
468b6d1679e17589b45f80b2c88fb69f8762f00c.hip | // !!! This is a file automatically generated by hipify!!!
#include <cudnn.h>
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <malloc.h>
#include <cstdlib>
#include <time.h>
#include <iostream>
#include <sys/types.h>
#include <errno.h>
#include <vector>
#include <fstream>
#include <string>
#include <omp.h>
#de... | 468b6d1679e17589b45f80b2c88fb69f8762f00c.cu | #include <cudnn.h>
#include <stdio.h>
#include <cuda.h>
#include <malloc.h>
#include <cstdlib>
#include <time.h>
#include <iostream>
#include <sys/types.h>
#include <errno.h>
#include <vector>
#include <fstream>
#include <string>
#include <omp.h>
#define TH 1
#define TW 1
#define TC 16
#define C 32
#define N 32
#define... |
e9d9865e067acc8237d593a5318c9cbdd0b8709a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel4_plus_4_b;
int xdim0_update_halo_kernel4_plus_4_b_h = -1;
__constant__ int ydim0_update_halo_kernel4_plus_4_b;
int ydim0_update_halo_kernel4_plus_4_b_h = -1... | e9d9865e067acc8237d593a5318c9cbdd0b8709a.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel4_plus_4_b;
int xdim0_update_halo_kernel4_plus_4_b_h = -1;
__constant__ int ydim0_update_halo_kernel4_plus_4_b;
int ydim0_update_halo_kernel4_plus_4_b_h = -1;
__constant__ int xdim1_update_halo_kernel4_plus_4_b;
int xdim1_update_halo_kernel4_plu... |
d5960674fe5b0adaceac431e994f9d0f20d5d961.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define N 22528*22528 // 22k ^ 2 = 507510784
#define THREAD_PER_BLOCK 1024
#define GRID N/THREAD_PER_BLOCK
__global__ void outputFromGPU(int *arr, int *min, int *max, int *s... | d5960674fe5b0adaceac431e994f9d0f20d5d961.cu | #include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define N 22528*22528 // 22k ^ 2 = 507510784
#define THREAD_PER_BLOCK 1024
#define GRID N/THREAD_PER_BLOCK
__global__ void outputFromGPU(int *arr, int *min, int *max, int *sum, int *mutex)
{
//GPU
int index = threadIdx.x + blockIdx.x * blockDim.x;
int stride... |
f39da35c83f362004e9050b1487b6293dddcf4a0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef USE_CUDNN
#include <vector>
#include "caffe/layers/cudnn_conv_layer.hpp"
namespace caffe {
__global__ void sync_conv_groups() { }
template <typename Dtype>
void CuDNNConvolutionLayer<Dtype>::Forward_gpu(
const vector<... | f39da35c83f362004e9050b1487b6293dddcf4a0.cu | #ifdef USE_CUDNN
#include <vector>
#include "caffe/layers/cudnn_conv_layer.hpp"
namespace caffe {
__global__ void sync_conv_groups() { }
template <typename Dtype>
void CuDNNConvolutionLayer<Dtype>::Forward_gpu(
const vector<Blob<Dtype>*>& bottom, const vector<Blob<Dtype>*>& top) {
const Dtype* weight = this->... |
98c9ee512158d0e7621ca5d29b2b9b2472504c3e.hip | // !!! This is a file automatically generated by hipify!!!
#include <cstdio>
#include <hip/hip_runtime.h>
#include <cmath>
#include <thrust/execution_policy.h>
#include <thrust/random.h>
#include <thrust/remove.h>
#include "sceneStructs.h"
#include "scene.h"
#include "glm/glm.hpp"
#include "glm/gtx/norm.hpp"
#include ... | 98c9ee512158d0e7621ca5d29b2b9b2472504c3e.cu | #include <cstdio>
#include <cuda.h>
#include <cmath>
#include <thrust/execution_policy.h>
#include <thrust/random.h>
#include <thrust/remove.h>
#include "sceneStructs.h"
#include "scene.h"
#include "glm/glm.hpp"
#include "glm/gtx/norm.hpp"
#include <glm/gtc/matrix_transform.hpp>
#include <glm/gtc/matrix_inverse.hpp>
#... |
2378ffa9a65909fb20817658b5aede89fa5209a7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel3_minus_4_b;
int xdim0_update_halo_kernel3_minus_4_b_h = -1;
__constant__ int ydim0_update_halo_kernel3_minus_4_b;
int ydim0_update_halo_kernel3_minus_4_b_h ... | 2378ffa9a65909fb20817658b5aede89fa5209a7.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel3_minus_4_b;
int xdim0_update_halo_kernel3_minus_4_b_h = -1;
__constant__ int ydim0_update_halo_kernel3_minus_4_b;
int ydim0_update_halo_kernel3_minus_4_b_h = -1;
__constant__ int xdim1_update_halo_kernel3_minus_4_b;
int xdim1_update_halo_kernel... |
7b48effcc6d01e0ceb7ac2d1c47deb01838a8fad.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <math.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include <hipfft.h>
/* hipfftPlanMany function
* - 2D FFT transform using 1D cuffts without transpositions
* - compare with transposition ve... | 7b48effcc6d01e0ceb7ac2d1c47deb01838a8fad.cu | #include <iostream>
#include <math.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <sys/time.h>
#include <cufft.h>
/* cufftPlanMany function
* - 2D FFT transform using 1D cuffts without transpositions
* - compare with transposition version
*/
#define NX 512
#define BATCH NX
#define TILE_DIM 16
using nam... |
43f8d03c004ed74af9b918451efd25ab9f27db4c.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <omp.h>
#include <hip/hip_runtime.h>
#define THREADS_PER_DIM 16
#define BLOCKS_PER_DIM 16
#define THREADS_PER_BLOCK THREADS_PER_DIM*THREADS_PER_DIM
#in... | 43f8d03c004ed74af9b918451efd25ab9f27db4c.cu | #include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <assert.h>
#include <omp.h>
#include <cuda.h>
#define THREADS_PER_DIM 16
#define BLOCKS_PER_DIM 16
#define THREADS_PER_BLOCK THREADS_PER_DIM*THREADS_PER_DIM
#include "kmeans_cuda_kernel.cu"
//#define BLOCK_DELTA_REDUCE
//#define... |
8ff575dd5904623257df3fae8ae706d2d163fd43.hip | // !!! This is a file automatically generated by hipify!!!
/*-------------------------------------------------------------------------
*
* CUDA functions for texture-memory interpolation based projection
*
* This file has the necesary fucntiosn to perform X-ray CBCT projection
* operation given a geaometry, angles... | 8ff575dd5904623257df3fae8ae706d2d163fd43.cu | /*-------------------------------------------------------------------------
*
* CUDA functions for texture-memory interpolation based projection
*
* This file has the necesary fucntiosn to perform X-ray CBCT projection
* operation given a geaometry, angles and image. It uses the 3D texture
* memory linear interpo... |
da89d347cb606672d21ddb722e3fe1283ae0aae1.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <time.h>
#include <stdlib.h>
#include <ctime>
#define CheckErrorUtil(err) CheckError(err, __FUNCTION__, __LINE__)
#define CheckErrorMsgUtil(err, msg) CheckErrorMsg(err, msg, __FUNCTION__, __LINE__)
inli... | da89d347cb606672d21ddb722e3fe1283ae0aae1.cu | #include <cuda_runtime.h>
#include <stdio.h>
#include <time.h>
#include <stdlib.h>
#include <ctime>
#define CheckErrorUtil(err) CheckError(err, __FUNCTION__, __LINE__)
#define CheckErrorMsgUtil(err, msg) CheckErrorMsg(err, msg, __FUNCTION__, __LINE__)
inline void CheckError(cudaError_t const err, char const* const fu... |
dadc2b126d3941664d3c038ca95aecb531879e51.hip | // !!! This is a file automatically generated by hipify!!!
#include "reduce_hip.cuh"
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <new>
int main(int argc, char *argv[]) {
int N = atoi(argv[1]);
int threads_per_block = atoi(argv[2]);
int *arr = new (std::nothrow) int[N];
for (int i = 0; i... | dadc2b126d3941664d3c038ca95aecb531879e51.cu | #include "reduce.cuh"
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <new>
int main(int argc, char *argv[]) {
int N = atoi(argv[1]);
int threads_per_block = atoi(argv[2]);
int *arr = new (std::nothrow) int[N];
for (int i = 0; i < N; ++i) {
arr[i] = 1;
}
// memset(arr, 1, sizeof(ar... |
febe274cbbb549f6fe3a56b0c48b4c15ccbd3147.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "mex.h"
/* Kernel to square elements of the array on the GPU */
__global__ void square_elements(float* in, float* out, int N)
{
int idx = blockIdx.x*blockDim.x+threadIdx.x;
if ( idx < N)
out[idx]=in[idx]*i... | febe274cbbb549f6fe3a56b0c48b4c15ccbd3147.cu | #include "cuda.h"
#include "mex.h"
/* Kernel to square elements of the array on the GPU */
__global__ void square_elements(float* in, float* out, int N)
{
int idx = blockIdx.x*blockDim.x+threadIdx.x;
if ( idx < N)
out[idx]=in[idx]*in[idx];
}
/* Gateway function */
void mexFunction(int nlhs, mxArray *... |
ca70b0b21425b93474503015721a8312cf50a250.hip | // !!! This is a file automatically generated by hipify!!!
#include "IncoherentSumPdf.hh"
#include "devcomplex.hh"
#include "ResonancePdf.hh"
const int resonanceOffset_incoherent = 4; // Offset of the first resonance into the parameter index array.
// Notice that this is different from the TddpPdf case because there... | ca70b0b21425b93474503015721a8312cf50a250.cu | #include "IncoherentSumPdf.hh"
#include "devcomplex.hh"
#include "ResonancePdf.hh"
const int resonanceOffset_incoherent = 4; // Offset of the first resonance into the parameter index array.
// Notice that this is different from the TddpPdf case because there's no time information.
// In particular the offset consis... |
de484143254c96c7a0e1be3ecd4cb0a1e8ae8190.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <wb.h>
#define TILE_WIDTH 8
#define wbCheck(stmt) do { \
hipError_t err = stmt; \
if (err != hipSuccess) { \
... | de484143254c96c7a0e1be3ecd4cb0a1e8ae8190.cu | #include <wb.h>
#define TILE_WIDTH 8
#define wbCheck(stmt) do { \
cudaError_t err = stmt; \
if (err != cudaSuccess) { \
wbLog(ERROR, "Failed to run stmt ", #stmt); \
return -1; ... |
62699295f4ae0ecdcbcaba50ab159f4da6e86036.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <float.h>
// includes, project
#include <cutil_inline.h>
#define NUM_ELEMENTS 262144 // MIN = 512, MAX = 33553920
#define MA... | 62699295f4ae0ecdcbcaba50ab159f4da6e86036.cu | // includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <float.h>
// includes, project
#include <cutil_inline.h>
#define NUM_ELEMENTS 262144 // MIN = 512, MAX = 33553920
#define MAX_THREADS 512
#define LAST_THREAD (MAX_THREADS - 1)
#define MAX_THREAD_DIVISOR ((float)(... |
c890f7207158cc6879ca1d7cd2072ef8b2ec9997.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "subgraph_generator.cuh"
#include "graph.cuh"
#include "subgraph.cuh"
#include "gpu_error_check.cuh"
const unsigned int NUM_THREADS = 64;
const unsigned int THRESHOLD_THREAD = 50000;
__global__ void prePrefix(unsigned in... | c890f7207158cc6879ca1d7cd2072ef8b2ec9997.cu | #include "subgraph_generator.cuh"
#include "graph.cuh"
#include "subgraph.cuh"
#include "gpu_error_check.cuh"
const unsigned int NUM_THREADS = 64;
const unsigned int THRESHOLD_THREAD = 50000;
__global__ void prePrefix(unsigned int *activeNodesLabeling, u_int64_t *activeNodesDegree,
u_int64_t *outDegree, bool... |
7f25254f41c33797197b4cae0f68ee099fcb69ab.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
//cuda include
#include <hip/hip_runtime.h>
__device__ void Gswap(void *from, void *to, int length){
void *tmp = malloc(length);
memcpy(tmp, to, length);
memcpy(to, from, length);
memcpy(from, tmp, length);
}
| 7f25254f41c33797197b4cae0f68ee099fcb69ab.cu | #include <stdio.h>
#include <stdlib.h>
//cuda include
#include <cuda.h>
__device__ void Gswap(void *from, void *to, int length){
void *tmp = malloc(length);
memcpy(tmp, to, length);
memcpy(to, from, length);
memcpy(from, tmp, length);
}
|
0b868b8e12b205a64ad227aaeab0ddd984b783d4.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
__global__ void dkernel(unsigned *vector, unsigned vectorsize) {
unsigned id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < vectorsize) vector[id] = id;
}
#define BLOCKSIZE 1024
int main(int nn, char *str[]) ... | 0b868b8e12b205a64ad227aaeab0ddd984b783d4.cu | #include <stdio.h>
#include <cuda.h>
__global__ void dkernel(unsigned *vector, unsigned vectorsize) {
unsigned id = blockIdx.x * blockDim.x + threadIdx.x;
if (id < vectorsize) vector[id] = id;
}
#define BLOCKSIZE 1024
int main(int nn, char *str[]) {
unsigned N = atoi(str[1]);
unsigned *vector, *hvector;
cudaMalloc... |
74020b258b8cc52547a66f6e929df030f61f088f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "pointwise_hist2.cuh"
#include "split_properties_helpers.cuh"
#include "compute_point_hist2_loop.cuh"
#include "pointwise_hist2_half_byte_template.cuh"
#include <hip/hip_cooperative_groups.h>
#include <library/cuda/wrappers... | 74020b258b8cc52547a66f6e929df030f61f088f.cu | #include "pointwise_hist2.cuh"
#include "split_properties_helpers.cuh"
#include "compute_point_hist2_loop.cuh"
#include "pointwise_hist2_half_byte_template.cuh"
#include <cooperative_groups.h>
#include <library/cuda/wrappers/arch.cuh>
#include <catboost/cuda/cuda_util/kernel/instructions.cuh>
#include <catboost/cuda/cu... |
04caf0cd19260e082131ee90cb12f55a90908355.hip | // !!! This is a file automatically generated by hipify!!!
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/div_rtn.h>
#include <ATen/hip/HIPBlas.h>
#include <ATen/native/ConvUtils.h>
#include <ATen/native/Resize.h>
#incl... | 04caf0cd19260e082131ee90cb12f55a90908355.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/div_rtn.h>
#include <ATen/cuda/CUDABlas.h>
#include <ATen/native/ConvUtils.h>
#include <ATen/native/Resize.h>
#include <ATen/native/cuda/im2col.cuh>
#ifndef AT_PER_OPERATO... |
6691bd342f147a03a99aa25ef6bdd0d89d0d2d0e.hip | // !!! This is a file automatically generated by hipify!!!
#include <sys/time.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "mam.h"
double getTime()
{
const double kMicro = 1.0e-6;
struct timeval TV;
const int RC = gettimeofday(&TV, NULL);
if(RC == -1)
{
printf("ERROR: Bad call t... | 6691bd342f147a03a99aa25ef6bdd0d89d0d2d0e.cu | #include <sys/time.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "mam.h"
double getTime()
{
const double kMicro = 1.0e-6;
struct timeval TV;
const int RC = gettimeofday(&TV, NULL);
if(RC == -1)
{
printf("ERROR: Bad call to gettimeofday\n"); return(-1);
}
return( ((double)TV.t... |
88df9d836a10d9c96ad6efe148c59aea2b26561f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include </home/yzamora/power/nvidia_gpus/cusp/blas.h>
#include </home/yzamora/power/nvidia_gpus/cusp/array2d.h>
#include </home/yzamora/power/nvidia_gpus/cusp/print.h>
#include <iostream>
#include <sys/time.h>
#include <stdio.h>
#i... | 88df9d836a10d9c96ad6efe148c59aea2b26561f.cu | #include </home/yzamora/power/nvidia_gpus/cusp/blas.h>
#include </home/yzamora/power/nvidia_gpus/cusp/array2d.h>
#include </home/yzamora/power/nvidia_gpus/cusp/print.h>
#include <iostream>
#include <sys/time.h>
#include <stdio.h>
#include <float.h>
#include <fstream>
#include <stdlib.h>
#include <string.h>
#define NTI... |
1e00b4c45ff3dbe116ea33716ef5a1c0e2e87938.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of t... | 1e00b4c45ff3dbe116ea33716ef5a1c0e2e87938.cu | // Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required... |
fb5cb541f7c59fe0b7b9e99a7a8c34f406c917b2.hip | // !!! This is a file automatically generated by hipify!!!
#include <torch/extension.h>
#include <hiprand/hiprand_kernel.h>
#include <hiprand/hiprand.h>
#include <hiprand/hiprand_mtgp32_host.h>
#include <hip/hip_runtime.h>
#include <hip/hip_fp16.h>
#include <hip/hip_runtime.h>
#include <vector>
#include <math.h>
#inclu... | fb5cb541f7c59fe0b7b9e99a7a8c34f406c917b2.cu | #include <torch/extension.h>
#include <curand_kernel.h>
#include <curand.h>
#include <curand_mtgp32_host.h>
#include <cuda.h>
#include <cuda_fp16.h>
#include <cuda_runtime.h>
#include <vector>
#include <math.h>
#include <curand_mtgp32dc_p_11213.h>
#include "philox_random.h"
#include "philox_pytorch.h"
#include <stdio.h... |
837697d35da1780554cee0da839cc29b8029c149.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <vector>
<<<<<<< HEAD
#include "caffe/layers/bnll_layer.hpp"
=======
#include "caffe/layer.hpp"
#include "caffe/vision_layers.hpp"
>>>>>>> caffe-yolo/master
namespace caffe {
const float kBNLL_THRESH... | 837697d35da1780554cee0da839cc29b8029c149.cu | #include <algorithm>
#include <vector>
<<<<<<< HEAD
#include "caffe/layers/bnll_layer.hpp"
=======
#include "caffe/layer.hpp"
#include "caffe/vision_layers.hpp"
>>>>>>> caffe-yolo/master
namespace caffe {
const float kBNLL_THRESHOLD = 50.;
template <typename Dtype>
__global__ void BNLLForward(const int n, const Dty... |
7bd06cf583cab00579a916ea00e887bb4b1dbedc.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 1993-2015 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, ... | 7bd06cf583cab00579a916ea00e887bb4b1dbedc.cu | /*
* Copyright 1993-2015 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... |
6b6c00f6ac1e17c18d38954dd0c35ce86c296931.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 "FullyConnectedUpdateMemoryKernel.cu"
#include<chrono>
#include<i... | 6b6c00f6ac1e17c18d38954dd0c35ce86c296931.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 "FullyConnectedUpdateMemoryKernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] =... |
a917d5b04d91fd5bda9d8bf63c18f4cf43c0db45.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// Copyright (c) 2019, 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:
// * Redi... | a917d5b04d91fd5bda9d8bf63c18f4cf43c0db45.cu | //
// Copyright (c) 2019, 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... |
6422d534f0cf82292f30939653a68e9184d47ef9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <vector>
#include <hip/driver_types.h>
#include <device_launch_parameters.h>
#include "caffe/layers/eltwise_layer.hpp"
namespace caffe {
template <typename Ftype>
__global__ void MaxForward(const int nthreads, const Ftyp... | 6422d534f0cf82292f30939653a68e9184d47ef9.cu | #include <vector>
#include <driver_types.h>
#include <device_launch_parameters.h>
#include "caffe/layers/eltwise_layer.hpp"
namespace caffe {
template <typename Ftype>
__global__ void MaxForward(const int nthreads, const Ftype* bottom_data_a,
const Ftype* bottom_data_b, const int blob_idx, Ftype* top_data,
i... |
6e3c1a7de6117664f2f3ddbf07ad49d4ce3dcd32.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <iostream>
#include <hip/hip_runtime_api.h>
//#include <cutil.h>
#include <hip/hip_runtime.h>
float* h_A;
float* h_B;
float* h_C;
float* h_res;
float* d_A;
float* d_B;
float* d_C;
float* d_res;
__global__
//void compute(const float... | 6e3c1a7de6117664f2f3ddbf07ad49d4ce3dcd32.cu | #include <stdio.h>
#include <iostream>
#include <cuda_profiler_api.h>
//#include <cutil.h>
#include <cuda_runtime.h>
float* h_A;
float* h_B;
float* h_C;
float* h_res;
float* d_A;
float* d_B;
float* d_C;
float* d_res;
__global__
//void compute(const float* A, const float* B, const float* C, float* D, int n) {
void com... |
2337f598a0fe5df27247ed5a93612517fde8fd4d.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 1993-2015 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,... | 2337f598a0fe5df27247ed5a93612517fde8fd4d.cu | /**
* Copyright 1993-2015 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 relate... |
9b83e2ced6e81651db75c6c887a39aa59e0ef9c5.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 1993-2015 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, disc... | 9b83e2ced6e81651db75c6c887a39aa59e0ef9c5.cu | /**
* Copyright 1993-2015 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 docu... |
7d1839c393eff90e2ea184bd4531f1a076200e4e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "hiprand/hiprand.h"
#include "hiprand/hiprand_kernel.h"
#include <hiprand/hiprand.h>
#include <ctime>
#include <cstdio>
#include <iostream>
using namespace std;
__global__ void addTe... | 7d1839c393eff90e2ea184bd4531f1a076200e4e.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "curand.h"
#include "curand_kernel.h"
#include <curand.h>
#include <ctime>
#include <cstdio>
#include <iostream>
using namespace std;
__global__ void addTen(float* d, int count) {
int threadsPerBlock = blockDim.x * blockDim.y * blockDim.z;
... |
792096c993f379eae3de5faea466668b9ca0e5bf.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime_api.h>
#include <time.h>
/****************************************************************************
* An experiment with cuda kernel invocation parameters. 2x3x4 threads on
* one block should yield 24 kernel ... | 792096c993f379eae3de5faea466668b9ca0e5bf.cu | #include <stdio.h>
#include <cuda_runtime_api.h>
#include <time.h>
/****************************************************************************
* An experiment with cuda kernel invocation parameters. 2x3x4 threads on
* one block should yield 24 kernel invocations.
*
* Compile with:
* nvcc -o 2_1_a_3initial 2... |
842d654f21d08d1aeaad9e5490e61a403b9edc20.hip | // !!! This is a file automatically generated by hipify!!!
#ifndef _BACKPROP_CUDA_KERNEL_H_
#define _BACKPROP_CUDA_KERNEL_H_
#include <stdio.h>
#include "backprop.h"
#include "math.h"
#include "hip/hip_runtime.h"
__global__ void
bpnn_layerforward_CUDA(float *input_cuda,
float *output_hidden_cud... | 842d654f21d08d1aeaad9e5490e61a403b9edc20.cu |
#ifndef _BACKPROP_CUDA_KERNEL_H_
#define _BACKPROP_CUDA_KERNEL_H_
#include <stdio.h>
#include "backprop.h"
#include "math.h"
#include "cuda.h"
__global__ void
bpnn_layerforward_CUDA(float *input_cuda,
float *output_hidden_cuda,
float *input_hidden_cuda,
float *hidden_partial_sum... |
4f1fd552f2e6fd36db8ce62aaf49d935261190e5.hip | // !!! This is a file automatically generated by hipify!!!
// This file is auto-generated. See "generate_kernels.sh"
#include <ATen/native/transformers/hip/mem_eff_attention/kernel_backward.h>
INSTANTIATE_ATTENTION_KERNEL_BACKWARD_SM50(cutlass::half_t, false);
INSTANTIATE_ATTENTION_KERNEL_BACKWARD_SM70(cutlass::half_t,... | 4f1fd552f2e6fd36db8ce62aaf49d935261190e5.cu | // This file is auto-generated. See "generate_kernels.sh"
#include <ATen/native/transformers/cuda/mem_eff_attention/kernel_backward.h>
INSTANTIATE_ATTENTION_KERNEL_BACKWARD_SM50(cutlass::half_t, false);
INSTANTIATE_ATTENTION_KERNEL_BACKWARD_SM70(cutlass::half_t, false);
INSTANTIATE_ATTENTION_KERNEL_BACKWARD_SM75(cutlas... |
798d51a61e59993c1ef884b2daa522ff19f4ea60.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* \file dnn/src/cuda/repeat/repeat.cu
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
*
* Unless required by applicable law or agre... | 798d51a61e59993c1ef884b2daa522ff19f4ea60.cu | /**
* \file dnn/src/cuda/repeat/repeat.cu
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS ... |
b579eef06cc1954b44e64f72476790c8def52f25.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdint>
#include <cassert>
#include <chrono>
#include <fmt/format.h>
typedef uint32_t u32;
typedef uint16_t u16;
typedef uint8_t u8;
struct ForcerContext {
u8 rng_state[4];
u8 work_buffer[8*8];
u8 decompress_buffer[0... | b579eef06cc1954b44e64f72476790c8def52f25.cu | #include <cstdint>
#include <cassert>
#include <chrono>
#include <fmt/format.h>
typedef uint32_t u32;
typedef uint16_t u16;
typedef uint8_t u8;
struct ForcerContext {
u8 rng_state[4];
u8 work_buffer[8*8];
u8 decompress_buffer[0x30];
u8 preloaded_map[8*8*9];
u8* found_byte;
};
static const unsigned seed_count = ... |
7cda6ce230dab4cefd606b8c358fcbbe1d2bafcc.hip | // !!! This is a file automatically generated by hipify!!!
/*
This version assigns one thread per 16 bytes of text.(one text block)
Stores the plaintext/ciphertext in registers.
Stores the encryption keys in shared memory.
Stores the S-boxes in shared memory.
The blocksize is 512.
*/
#include <iostream>
#include <fstr... | 7cda6ce230dab4cefd606b8c358fcbbe1d2bafcc.cu | /*
This version assigns one thread per 16 bytes of text.(one text block)
Stores the plaintext/ciphertext in registers.
Stores the encryption keys in shared memory.
Stores the S-boxes in shared memory.
The blocksize is 512.
*/
#include <iostream>
#include <fstream>
#include <sstream>
#include <chrono>
#include <cuda_r... |
581587d690b6a03b213030a8bad7ece9bf3050b4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/hip/HIPContext.h>
#include <ATen/hip/NumericLimits.cuh>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/TensorUtils.h>
#include <ATen/NumericUtils.h>
#include <ATen/native/Resize.h>
#include... | 581587d690b6a03b213030a8bad7ece9bf3050b4.cu | #include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/NumericLimits.cuh>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/TensorUtils.h>
#include <ATen/NumericUtils.h>
#include <ATen/native/Resize.h>
#include <ATen/native/ReduceOps.h>
#include <c10/util/accumulate.h>
#include <THC/THCGeneral.... |
f36e6243f7c57adbee4805b77803d701942f2df2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2018, 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... | f36e6243f7c57adbee4805b77803d701942f2df2.cu | /*
* Copyright (c) 2018, 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... |
d4d2e81aad5a1c7d66317d02986a759e544af43a.hip | // !!! This is a file automatically generated by hipify!!!
#include "solveMatrix.h"
#include <hip/hip_runtime.h>
#include "cusolverDn.h"
double *cu_A;
double *b;
double *Workspace;
int *devIpiv;
__device__ __managed__ int devInfo;
int die(cusolverStatus_t status, int devInfo, hipsolverDnHandle_t handle);
int err(cusol... | d4d2e81aad5a1c7d66317d02986a759e544af43a.cu | #include "solveMatrix.h"
#include <cuda_runtime.h>
#include "cusolverDn.h"
double *cu_A;
double *b;
double *Workspace;
int *devIpiv;
__device__ __managed__ int devInfo;
int die(cusolverStatus_t status, int devInfo, cusolverDnHandle_t handle);
int err(cusolverStatus_t status, int devInfo);
void freeMem();
int solveMat... |
e584cca8323ceb88107d9159def35bad3c0d8cc3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<cuda.h>
#include<cuda_runtime.h>
#include<stdio.h>
#include<stdlib.h>
#include<cmath>
#define TILE_SIZE 32 //Tile size and block size, both are taken as 32
__device__ void store_full(float*,float*,int,int,int);
_... | e584cca8323ceb88107d9159def35bad3c0d8cc3.cu | #include<cuda.h>
#include<cuda_runtime.h>
#include<stdio.h>
#include<stdlib.h>
#include<cmath>
#define TILE_SIZE 32 //Tile size and block size, both are taken as 32
__device__ void store_full(float*,float*,int,int,int);
__device__ void load_full(float*,float*,int,int,int);
__device__ void store_lower(float*,... |
0b2e525e28bf63535a971462000b29171deca63e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2020 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 ... | 0b2e525e28bf63535a971462000b29171deca63e.cu | /* Copyright (c) 2020 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... |
53e2774dbeea96b4476f59b329afb70e0cd8960b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdlib.h>
#include <stdio.h>
#include <cstring> // needed for memset
#include <typeinfo>
#include <tune_quda.h>
#include <blas_quda.h>
#include <color_spinor_field.h>
#include <jitify_helper.cuh>
#include <kernels/multi_... | 53e2774dbeea96b4476f59b329afb70e0cd8960b.cu | #include <stdlib.h>
#include <stdio.h>
#include <cstring> // needed for memset
#include <typeinfo>
#include <tune_quda.h>
#include <blas_quda.h>
#include <color_spinor_field.h>
#include <jitify_helper.cuh>
#include <kernels/multi_blas_core.cuh>
namespace quda {
namespace blas {
cudaStream_t* getStream();
... |
ae8df8874550797c472b5e284610d99510acf511.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Copyright 2009 NVIDIA Corporation. All rights reserved.
NOTICE TO LICENSEE:
This source code and/or documentation ("Licensed Deliverables") are subject
to NVIDIA intellectual property rights under U.S. and in... | ae8df8874550797c472b5e284610d99510acf511.cu | /*
Copyright 2009 NVIDIA Corporation. All rights reserved.
NOTICE TO LICENSEE:
This source code and/or documentation ("Licensed Deliverables") are subject
to NVIDIA intellectual property rights under U.S. and international Copyright
laws.
These Licensed Deliverables contained herein is P... |
d8543b9f7d7ec463ca55c264e4742e673bbb1a63.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void multKernel(float *a, float *b, float *ab, int width)
{
int tx = threadIdx.x, ty = threadIdx.y;
int bx = blockIdx.x, by = blockIdx.y;
// allocate tiles in __shared__ memory
__shared__ float s_a[... | d8543b9f7d7ec463ca55c264e4742e673bbb1a63.cu | #include "includes.h"
__global__ void multKernel(float *a, float *b, float *ab, int width)
{
int tx = threadIdx.x, ty = threadIdx.y;
int bx = blockIdx.x, by = blockIdx.y;
// allocate tiles in __shared__ memory
__shared__ float s_a[TILE_WIDTH][TILE_WIDTH];
__shared__ float s_b[TILE_WIDTH][TILE_WIDTH];
// calculate the... |
e24cc0b238611f7c3462698f0b0a10624dfad3aa.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include "ed25519.h"
#include <inttypes.h>
#include <assert.h>
#include <vector>
#include <pthread.h>
#include "gpu_common.h"
#include "gpu_ctx.h"
#define USE_CLOCK_GETTIME
#include "perftime.h"
#define PACKET_SIZE 512
typedef struct {
... | e24cc0b238611f7c3462698f0b0a10624dfad3aa.cu | #include <stdio.h>
#include "ed25519.h"
#include <inttypes.h>
#include <assert.h>
#include <vector>
#include <pthread.h>
#include "gpu_common.h"
#include "gpu_ctx.h"
#define USE_CLOCK_GETTIME
#include "perftime.h"
#define PACKET_SIZE 512
typedef struct {
size_t size;
uint64_t num_retransmits;
uint16_t ad... |
cafb4689ab3d3424f6f53be3849ceb3555c1ea18.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* 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
... | cafb4689ab3d3424f6f53be3849ceb3555c1ea18.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... |
d968eac8040eff4c5670de5d06a2ae8e1abbcb0e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void mardas(int imax, int jmax, int kmax, int n1, int n2, int n3, int N, int iterations, float* V, float*... | d968eac8040eff4c5670de5d06a2ae8e1abbcb0e.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__ void mardas(int imax, int jmax, int kmax, int n1, int n2, int n3, int N, int iterations, float* V, float* g, float *R, float w, float h, int oddEven) {
int index_x = threadIdx.x + blockDim.... |
3df36534ffbf85061d62c368a75c54b29e1b4b97.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cudaParticleMD.hh"
#include "kernelfuncs.h"
#include <assert.h>
#include "kerneltemplate.hh"
cudaParticleMD::~cudaParticleMD() {
if (m!=NULL) hipFree(m);
if (hdl!=NULL) hipblasDestroy(hdl);
}
void cudaParticleMD::s... | 3df36534ffbf85061d62c368a75c54b29e1b4b97.cu | #include "cudaParticleMD.hh"
#include "kernelfuncs.h"
#include <assert.h>
#include "kerneltemplate.hh"
cudaParticleMD::~cudaParticleMD() {
if (m!=NULL) cudaFree(m);
if (hdl!=NULL) cublasDestroy(hdl);
}
void cudaParticleMD::setup(int n) {
cudaParticleVV::setup(n);
// alloc m 1/(1/mass)
cudaMalloc((void **... |
acd7272fa8371c3d8f7126c210ce02b133e441f9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <caffe2/core/context_gpu.h>
#include <caffe2/operator/squared_l2_op.h>
namespace caffe2 {
namespace {
template <typename T>
__global__ void SquaredL2Kernel(const int N, const int D, const T* X, T* Y) {
CUDA_1D_KERNEL_L... | acd7272fa8371c3d8f7126c210ce02b133e441f9.cu | #include <caffe2/core/context_gpu.h>
#include <caffe2/operator/squared_l2_op.h>
namespace caffe2 {
namespace {
template <typename T>
__global__ void SquaredL2Kernel(const int N, const int D, const T* X, T* Y) {
CUDA_1D_KERNEL_LOOP(i, N) {
float sum = 0;
for (int j = i * D, e = j + D; j != e; j++) {
f... |
a0ef4ce35677bd8859fb278192404a711677040b.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 1993-2012 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,... | a0ef4ce35677bd8859fb278192404a711677040b.cu | /**
* Copyright 1993-2012 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 relate... |
ed3fc4070385635fa77048bb1c437b2a9db4ac71.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <math.h>
#include <time.h>
#include <hip/hip_runtime.h>
//Code written by Alan Fleming
//CONSTANTS
#define MATRIXSIZE 2048
#define BLOCKSIZE 1024
void cpuHistogram(int* input, int* histogram, int size) {
for(int i = 0; i < size; i... | ed3fc4070385635fa77048bb1c437b2a9db4ac71.cu | #include <stdio.h>
#include <math.h>
#include <time.h>
#include <cuda.h>
//Code written by Alan Fleming
//CONSTANTS
#define MATRIXSIZE 2048
#define BLOCKSIZE 1024
void cpuHistogram(int* input, int* histogram, int size) {
for(int i = 0; i < size; i++) {
histogram[input[i]]++;
}
}
__global__ void histogram(int* in... |
00ba7dd061e09c3e8fd3940ece094659d97d8f3e.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include "gtest/gtest.h"
#include "helper_math.cuh"
#include "strel.cuh"
// For convenience
using namespace gpho;
using namespace gpho::detail;
TEST(FlatBallApproxTest, NonPositiveRadius)
{
{
SCOPED_TRACE("Radius = -... | 00ba7dd061e09c3e8fd3940ece094659d97d8f3e.cu | #include <cuda_runtime.h>
#include "gtest/gtest.h"
#include "helper_math.cuh"
#include "strel.cuh"
// For convenience
using namespace gpho;
using namespace gpho::detail;
TEST(FlatBallApproxTest, NonPositiveRadius)
{
{
SCOPED_TRACE("Radius = -1");
auto lines = flatBallApprox(-1);
for (con... |
69310691d14bc120180217b0833df52574fc245b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2016 Google Inc, NYU.
//
// 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:/... | 69310691d14bc120180217b0833df52574fc245b.cu | // Copyright 2016 Google Inc, NYU.
//
// 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... |
4f342f328c80e9e4e3a376fafbc7164d9009dc5b.hip | // !!! This is a file automatically generated by hipify!!!
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include <sys/time.h>
#include "srad.h"
// includes, project
#include <hip/hip_runtime.h>
// includes, kernels
#include "srad_kernel.hip"
#in... | 4f342f328c80e9e4e3a376fafbc7164d9009dc5b.cu | // includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include <sys/time.h>
#include "srad.h"
// includes, project
#include <cuda.h>
// includes, kernels
#include "srad_kernel.cu"
#include "cudaio.h"
#include "timer.h"
#include "cuhelper.h"
#define R1 0... |
1cffc74a29f953b5485f8f0b9eb5acef03934c31.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/hip/HIPContext.h>
#include <c10/util/complex.h>
#include <stdio.h>
#include <torch/extension.h>
#include <torch/python.h>
#include <ATen/native/hip/block_reduce.cuh>
#include <THH/THHAtomics.cuh>
#define CHECK_DEVICE... | 1cffc74a29f953b5485f8f0b9eb5acef03934c31.cu | #include <ATen/cuda/CUDAContext.h>
#include <c10/util/complex.h>
#include <stdio.h>
#include <torch/extension.h>
#include <torch/python.h>
#include <ATen/native/cuda/block_reduce.cuh>
#include <THC/THCAtomics.cuh>
#define CHECK_DEVICE(x) \
TORCH_CHECK(x.device().type() == torch::kCUDA, #x " must be on CUDA")
#define... |
ffae6ebb5cabcdab4726e81b6f68eb8276c9d32f.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 Mark Gates
@generated from zgemv_... | ffae6ebb5cabcdab4726e81b6f68eb8276c9d32f.cu | /*
-- MAGMA (version 1.6.1) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date January 2015
@author Mark Gates
@generated from zgemv_fermi.cu normal z -> c, Fri Jan 30 19:00:10 2015
*/
#include "common_magma.h"
#include "... |
0241e863940df3ae6f3d368868f6137dcd297fb7.hip | // !!! This is a file automatically generated by hipify!!!
#define GLM_FORCE_CUDA
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <cmath>
#include <glm/glm.hpp>
#include "utilityCore.hpp"
#include "kernel.h"
// LOOK-2.1 potentially useful for doing grid-based neighbor search
#ifndef imax
#define imax( a, b ) ... | 0241e863940df3ae6f3d368868f6137dcd297fb7.cu | #define GLM_FORCE_CUDA
#include <stdio.h>
#include <cuda.h>
#include <cmath>
#include <glm/glm.hpp>
#include "utilityCore.hpp"
#include "kernel.h"
// LOOK-2.1 potentially useful for doing grid-based neighbor search
#ifndef imax
#define imax( a, b ) ( ((a) > (b)) ? (a) : (b) )
#endif
#ifndef imin
#define imin( a, b ) ... |
4be2b590dfbe46a9ddba6519e53da62b038652e6.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright 2020 California Institute of Technology. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// Author: Ethan Jaszewski
#include "ce.h"
#include <algorithm>
#include <iostre... | 4be2b590dfbe46a9ddba6519e53da62b038652e6.cu | // Copyright 2020 California Institute of Technology. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
// Author: Ethan Jaszewski
#include "ce.h"
#include <algorithm>
#include <iostream>
#include "cuda_runtime.h"
#include "math.h"
#include ... |
6ddc0f76ddc9064669938588fa119560bc4e5efb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Naive matrix-matrix multiplication(mmm)
By C. Liao
*/
#include <stdio.h>
#include <assert.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#define N 1024
#define M 1024
#define K 1024
#define REAL float
#include "libxomp.h"
#include ... | 6ddc0f76ddc9064669938588fa119560bc4e5efb.cu | /*
Naive matrix-matrix multiplication(mmm)
By C. Liao
*/
#include <stdio.h>
#include <assert.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#define N 1024
#define M 1024
#define K 1024
#define REAL float
#include "libxomp.h"
#include "xomp_cuda_lib_inlined.cu"
int i;
int j;
int k;
float a[1024][1024];
float b[1024][1024... |
819286de228d5486f5e783379c93cc9698a51120.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.
*
* NVIDIA MAKES NO REPRE... | 819286de228d5486f5e783379c93cc9698a51120.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.
*
* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE
* CODE FOR ANY PURPOSE. IT IS PROVIDED... |
64edf3b10ddeb600f1573360e00b13ecfb3b59c7.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHUNN.h"
#include "TH/THHalf.h"
#include "THHHalfAutoNumerics.cuh"
#include <THH/THHApply.cuh>
#if defined(_MSC_VER) || defined(__HIP_PLATFORM_HCC__)
#define ZERO_MACRO zero<T>()
template <typename T>
inline __device__ typename std::enable_if<std::i... | 64edf3b10ddeb600f1573360e00b13ecfb3b59c7.cu | #include "THCUNN.h"
#include "TH/THHalf.h"
#include "THCHalfAutoNumerics.cuh"
#include <THC/THCApply.cuh>
#if defined(_MSC_VER) || defined(__HIP_PLATFORM_HCC__)
#define ZERO_MACRO zero<T>()
template <typename T>
inline __device__ typename std::enable_if<std::is_same<T, double>::value, T>::type zero() {
return 0.;
}
... |
25122622ac75dad3b01ddc26ff71dd77cf8623d0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <heteroflow/heteroflow.hpp>
#include <vector>
#include <cassert>
// Compilation: nvcc -O2 -g ./unittest/heteroflow.cu -std=c++14 -I .
__global__ void assign_value(int n, float a, float *x) {
// Get the corresponding idx... | 25122622ac75dad3b01ddc26ff71dd77cf8623d0.cu | #include <heteroflow/heteroflow.hpp>
#include <vector>
#include <cassert>
// Compilation: nvcc -O2 -g ./unittest/heteroflow.cu -std=c++14 -I .
__global__ void assign_value(int n, float a, float *x) {
// Get the corresponding idx
int i = blockIdx.x*blockDim.x + threadIdx.x;
if (i < n) {
x[i] = a;
}
}
__g... |
cbb4ff711f4130869351fc4298ccfdaa0457ef10.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void ShortestPath1(float *Arr1,float *Arr2,int N,int rows, int rank){ //rowNum is number of rows for each process (full assigned to process)
//Arr1 input array,Holds of (u,v) //Arr2 output array... | cbb4ff711f4130869351fc4298ccfdaa0457ef10.cu | #include "includes.h"
__global__ void ShortestPath1(float *Arr1,float *Arr2,int N,int rows, int rank){ //rowNum is number of rows for each process (full assigned to process)
//Arr1 input array,Holds of (u,v) //Arr2 output array
int k;
int col=blockIdx.x * blockDim.x + threadIdx.x;
int row=blockIdx.y * blockDim.y +... |
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