hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
d5718290a096e7f0ed809cd85d37aac06f65ddf8.hip | // !!! This is a file automatically generated by hipify!!!
/*!
* Copyright 2018 XGBoost contributors
*/
#include <gtest/gtest.h>
#include <thrust/equal.h>
#include <thrust/iterator/counting_iterator.h>
#include <thrust/transform.h>
#include "../../../src/common/device_helpers.cuh"
#include <xgboost/host_device_vect... | d5718290a096e7f0ed809cd85d37aac06f65ddf8.cu | /*!
* Copyright 2018 XGBoost contributors
*/
#include <gtest/gtest.h>
#include <thrust/equal.h>
#include <thrust/iterator/counting_iterator.h>
#include <thrust/transform.h>
#include "../../../src/common/device_helpers.cuh"
#include <xgboost/host_device_vector.h>
namespace xgboost {
namespace common {
namespace {
v... |
71406ab2ac5489c0f471f670d11868e5fef251f2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 2020 insaneyilin All Rights Reserved.
*
*
*/
#include "../common/common.h"
#define N (1024*1024)
#define FULL_DATA_SIZE (N * 100)
__global__ void kernel(int *a, int *b, int *c) {
int idx = threadIdx.x + bl... | 71406ab2ac5489c0f471f670d11868e5fef251f2.cu | /*
* Copyright 2020 insaneyilin All Rights Reserved.
*
*
*/
#include "../common/common.h"
#define N (1024*1024)
#define FULL_DATA_SIZE (N * 100)
__global__ void kernel(int *a, int *b, int *c) {
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if (idx < N) {
// compute an average of three values in a a... |
cb9b261387bc771ad9364d70d7bf5defd292ed54.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@generated from sparse/blas/zgeaxpy.cu, normal z -> d, Mon ... | cb9b261387bc771ad9364d70d7bf5defd292ed54.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/zgeaxpy.cu, normal z -> d, Mon Jun 25 18:24:23 2018
*/
#include "magmasparse_internal.h"
#define BLOCK_SIZE 256
// ... |
f620f40d92db23f83063b21458c2d797494a2d3b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <cfloat>
#include <vector>
#include "thrust/device_vector.h"
#include "caffe/filler.hpp"
#include "caffe/layers/norm_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
// divid a ... | f620f40d92db23f83063b21458c2d797494a2d3b.cu | #include <algorithm>
#include <cfloat>
#include <vector>
#include "thrust/device_vector.h"
#include "caffe/filler.hpp"
#include "caffe/layers/norm_layer.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
// divid a matrix with vector
template <typename Dtype>
__global__ void DivBsx(const int nthreads, ... |
1289ea8e291ca6081a652252981a797bcaf8d677.hip | // !!! This is a file automatically generated by hipify!!!
#include <rocblas.h>
#include <hiprand/hiprand.h>
#include <cassert>
#include <cmath>
#include <ctime>
#include <iostream>
#include <vector>
#include "addvec.h"
int matmul(const int M, const int N, const int K, const int iter) {
// random number generator... | 1289ea8e291ca6081a652252981a797bcaf8d677.cu | #include <cublas_v2.h>
#include <curand.h>
#include <cassert>
#include <cmath>
#include <ctime>
#include <iostream>
#include <vector>
#include "addvec.h"
int matmul(const int M, const int N, const int K, const int iter) {
// random number generator using Pseudo
curandGenerator_t prng;
curandCreateGenerat... |
32d67750a8c664e2050cf41b606d16902f8eea65.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
* Copyright 2017-2020 XGBoost contributors
*/
#include <thrust/copy.h>
#include <thrust/reduce.h>
#include <xgboost/tree_updater.h>
#include <algorithm>
#include <cmath>
#include <memory>
#include <limits>
#include <queue>
#in... | 32d67750a8c664e2050cf41b606d16902f8eea65.cu | /*!
* Copyright 2017-2020 XGBoost contributors
*/
#include <thrust/copy.h>
#include <thrust/reduce.h>
#include <xgboost/tree_updater.h>
#include <algorithm>
#include <cmath>
#include <memory>
#include <limits>
#include <queue>
#include <utility>
#include <vector>
#include "xgboost/host_device_vector.h"
#include "xgb... |
84b953c9757e4627dc8ae686744d49908d9b9afe.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<math.h>
#include<stdio.h>
#include "CUDA.h"
#include "Random.h"
#include "mycomplex.h"
#include "model.h"
using namespace std;
/* ----------------------------------------*/
/**************************/
double *yzero;
__de... | 84b953c9757e4627dc8ae686744d49908d9b9afe.cu | #include<math.h>
#include<stdio.h>
#include "CUDA.h"
#include "Random.h"
#include "mycomplex.h"
#include "model.h"
using namespace std;
/* ----------------------------------------*/
/**************************/
double *yzero;
__device__ double const tau=1.;
__device__ double const one_over_tau=1./tau;
double const in... |
ebf3bd0e058a278b3e8c9d5c8445761bcce1b7e4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* \file dnn/src/cuda/mesh_indexing/mesh_indexing.cu
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
*
* Unless required by applicab... | ebf3bd0e058a278b3e8c9d5c8445761bcce1b7e4.cu | /**
* \file dnn/src/cuda/mesh_indexing/mesh_indexing.cu
* MegEngine is Licensed under the Apache License, Version 2.0 (the "License")
*
* Copyright (c) 2014-2021 Megvii Inc. All rights reserved.
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed... |
c87e4ad856706a371bc0f563caa190fa178e26d9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<stdio.h>
#include<stdlib.h>
#include<math.h>
#include<cuda.h>
#include<cuda_runtime.h>
namespace Neighbours
{
class FileHandle
{
public:
int InputSize(void)
{
FILE *input = NULL;
input = fope... | c87e4ad856706a371bc0f563caa190fa178e26d9.cu | #include<stdio.h>
#include<stdlib.h>
#include<math.h>
#include<cuda.h>
#include<cuda_runtime.h>
namespace Neighbours
{
class FileHandle
{
public:
int InputSize(void)
{
FILE *input = NULL;
input = fopen("input.txt", "r");
char line[30];
int N = 0;
while(fgets(line, 3... |
9825e06dd75711802246251a84d51fbdb594b06c.hip | // !!! This is a file automatically generated by hipify!!!
#include "stdio.h"
#include <hip/hip_runtime.h>
#include "../../../CudaHelper.h"
const unsigned int DATE_SIZE = 1 << 24; // 8M
const unsigned int BLOCK_SIZE = 1024; // block size
/*
*
* Many Block: every thread exec 1 computation task and all computatio... | 9825e06dd75711802246251a84d51fbdb594b06c.cu | #include "stdio.h"
#include <cuda_runtime.h>
#include "../../../CudaHelper.h"
const unsigned int DATE_SIZE = 1 << 24; // 8M
const unsigned int BLOCK_SIZE = 1024; // block size
/*
*
* Many Block: every thread exec 1 computation task and all computation task is exec in device
*/
// Kernel function to compute s... |
b13ad6171c033b49d437e17ec9c068b31d619134.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you und... | b13ad6171c033b49d437e17ec9c068b31d619134.cu | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you ... |
04d5fecda3d930fa17aa8bd773719161f6a60b50.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/li... | 04d5fecda3d930fa17aa8bd773719161f6a60b50.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 ... |
8cc6bb17d6911ae0b2a37e51b1962ac21285d97f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/******************************************************************************
* Copyright (c) 2013, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modificati... | 8cc6bb17d6911ae0b2a37e51b1962ac21285d97f.cu | /******************************************************************************
* Copyright (c) 2013, 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:
* * Redistributio... |
38c6396e7c938c7d7b4deb25c06a5709e80f68fd.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime_api.h>
#include "cudaWrap.h"
#include <stdio.h>
#define BLKX 32
#define BLKY 32
hipStream_t gstream;
#define CUDA_CALL_SAFE(f) \
do { ... | 38c6396e7c938c7d7b4deb25c06a5709e80f68fd.cu | #include <cuda_runtime_api.h>
#include "cudaWrap.h"
#include <stdio.h>
#define BLKX 32
#define BLKY 32
cudaStream_t gstream;
#define CUDA_CALL_SAFE(f) \
do { ... |
eb39b112f6090ef865322f4395fc8ec9bb653815.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Host Side Code for Cross-correlation in GPU
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <fstream>
//#include "Cross_Data_type.h"
#include "corr2Mex.h"
#include "normXcorr_GPUKernel.cu"
... | eb39b112f6090ef865322f4395fc8ec9bb653815.cu | // Host Side Code for Cross-correlation in GPU
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <fstream>
//#include "Cross_Data_type.h"
#include "corr2Mex.h"
#include "normXcorr_GPUKernel.cu"
using namespace std;
Matrix AllocateDeviceMatrix(const Matrix M);
Matrix AllocateMatri... |
f93522fda87342031ed19073037c4a70249cbef8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void Matrix_MultiplElementWise_naiveOLD(const float * A , int Acount, int Acols, const float * B , int Bcount, int Bcols, float * out0 , int out0count, int out0cols)
{
int id = blockDim.x*blockIdx.y*... | f93522fda87342031ed19073037c4a70249cbef8.cu | #include "includes.h"
__global__ void Matrix_MultiplElementWise_naiveOLD(const float * A , int Acount, int Acols, const float * B , int Bcount, int Bcols, float * out0 , int out0count, int out0cols)
{
int id = blockDim.x*blockIdx.y*gridDim.x + blockDim.x*blockIdx.x + threadIdx.x;
int id_row,id_col;
if (id<Acount)
{
if ... |
e227d77186e3474823a8053e22f045a8a2bbba41.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void magnitude(float *vec, const int n)
{
unsigned int xIndex = blockDim.x * blockIdx.x + threadIdx.x;
if (xIndex < n) { vec[xIndex] = abs(vec[xIndex]); }
} | e227d77186e3474823a8053e22f045a8a2bbba41.cu | #include "includes.h"
__global__ void magnitude(float *vec, const int n)
{
unsigned int xIndex = blockDim.x * blockIdx.x + threadIdx.x;
if (xIndex < n) { vec[xIndex] = abs(vec[xIndex]); }
} |
2295618f2b0c0e8062d2d6b40fcbabf9373c5f99.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <stdio.h>
#include "checker_helper.cu"
#define BLOCK_SIZE 4
#define NUM_BLOCKS 4
#define GLOBAL_BUF_SIZE 16384
#define INTERNAL_BUF_SIZE BLOCK_SIZE
__device__ volatile int globalHead;
__device__ volati... | 2295618f2b0c0e8062d2d6b40fcbabf9373c5f99.cu | #include <iostream>
#include <stdio.h>
#include "checker_helper.cu"
#define BLOCK_SIZE 4
#define NUM_BLOCKS 4
#define GLOBAL_BUF_SIZE 16384
#define INTERNAL_BUF_SIZE BLOCK_SIZE
__device__ volatile int globalHead;
__device__ volatile int globalTail;
__device__ volatile int blockFence;
// __device__ volatile int tailSe... |
8553f08b5fa489e9a06e7a9c011a73178bf4a573.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "hiprand/hiprand_kernel.h"
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <iostream>
#include <numeric>
using namespace std;
const int threadSideSize = 32;
const ... | 8553f08b5fa489e9a06e7a9c011a73178bf4a573.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "curand_kernel.h"
#include <cuda.h>
#include <curand.h>
#include <iostream>
#include <numeric>
using namespace std;
const int threadSideSize = 32;
const int blocksSideSize = 255;
__global__ void calculate(int* sum) {
int xBlock = blockIdx.... |
61427059ba2651c790546e824b169d7bd8a874a0.hip | // !!! This is a file automatically generated by hipify!!!
#include<utility>
#include<stdio.h>
#include<assert.h>
#include <hip/hip_runtime_api.h>
#include <hip/hip_runtime.h>
#include <ostream>
#include <iostream>
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include <fstream>
#include <omp.h>
#include <time... | 61427059ba2651c790546e824b169d7bd8a874a0.cu | #include<utility>
#include<stdio.h>
#include<assert.h>
#include <cuda_runtime_api.h>
#include <cuda_runtime.h>
#include <ostream>
#include <iostream>
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include <fstream>
#include <omp.h>
#include <time.h>
#include <string.h>
#include <utility>
#include <time.h>
#inc... |
615cf8368e36be2682ac9f1b55d8cf9cab45c718.hip | // !!! This is a file automatically generated by hipify!!!
#include <cmath>
#include <cstdio>
#include <cstring>
#include <string>
#include <algorithm>
#include <iostream>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include <hip/device_functions.h>
#include <hip/hip... | 615cf8368e36be2682ac9f1b55d8cf9cab45c718.cu | #include <cmath>
#include <cstdio>
#include <cstring>
#include <string>
#include <algorithm>
#include <iostream>
#include <cuda.h>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include <device_functions.h>
#include <cuda_runtime_api.h>
using namespace std;
typedef double ld;
typedef long long LL;
... |
9dd7cd92a316ad4873a4e04f0137946142b23ed7.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2010-2011, 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 co... | 9dd7cd92a316ad4873a4e04f0137946142b23ed7.cu | /*
* Copyright (c) 2010-2011, 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... |
bcf4db357f4454f44f4c64cab1350d5052b1c2c2.hip | // !!! This is a file automatically generated by hipify!!!
/*
/*
* 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... | bcf4db357f4454f44f4c64cab1350d5052b1c2c2.cu | /*
/*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* ... |
dd0fdc147032ecf99cf3be8b4cf29bec10469209.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Modified from
// https://github.com/open-mmlab/OpenPCDet/blob/master/pcdet/ops/iou3d_nms/src/iou3d_nms_kernel.cu
/*
3D IoU Calculation and Rotated NMS(modified from 2D NMS written by others)
Written by Shaoshuai Shi
All Rights R... | dd0fdc147032ecf99cf3be8b4cf29bec10469209.cu | // Modified from
// https://github.com/open-mmlab/OpenPCDet/blob/master/pcdet/ops/iou3d_nms/src/iou3d_nms_kernel.cu
/*
3D IoU Calculation and Rotated NMS(modified from 2D NMS written by others)
Written by Shaoshuai Shi
All Rights Reserved 2019-2020.
*/
#include <stdio.h>
#define THREADS_PER_BLOCK 16
#define DIVUP(m, ... |
a1eda7653f7d7c3ca01b9375662ccb09bdee5291.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <math.h>
#include <fcntl.h>
#include <unistd.h>
// #define LIST_SIZE 1610612736 //6 GB of ints
//#define LIST_SIZE 209715200 //500 MB of ints
// #define LIST_SIZE 1048576 // 1MB of ints
// #define LIST_S... | a1eda7653f7d7c3ca01b9375662ccb09bdee5291.cu | #include <stdio.h>
#include <math.h>
#include <fcntl.h>
#include <unistd.h>
// #define LIST_SIZE 1610612736 //6 GB of ints
//#define LIST_SIZE 209715200 //500 MB of ints
// #define LIST_SIZE 1048576 // 1MB of ints
// #define LIST_SIZE (2 * 65536)
// #define LIST_SIZE 65536
// #define LIST_SIZE 49152
// #define LIST_SI... |
80ee86bb2f8936a6b9ad0fc6d85ec72d9c2fff8e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
#include <cmath>
#include "error_checks.h" // Macros CUDA_CHECK and CHECK_ERROR_MSG
__global__ void vector_add(double *C, const double *A, const double *B, int N)
{
// Add the kernel code
int idx = blockI... | 80ee86bb2f8936a6b9ad0fc6d85ec72d9c2fff8e.cu | #include <cstdio>
#include <cmath>
#include "error_checks.h" // Macros CUDA_CHECK and CHECK_ERROR_MSG
__global__ void vector_add(double *C, const double *A, const double *B, int N)
{
// Add the kernel code
int idx = blockIdx.x * blockDim.x + threadIdx.x;
// Do not try to access past the allocated memory
... |
727ceefc197727d9315ed02fb7af29a277d51cc8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
******************* BEGIN Caffe Copyright Notice and Disclaimer ****************
*
* COPYRIGHT
*
* All contributions by the University of California:
* Copyright (c) 2014-2017 The Regents of the University of California (R... | 727ceefc197727d9315ed02fb7af29a277d51cc8.cu | /*!
******************* BEGIN Caffe Copyright Notice and Disclaimer ****************
*
* COPYRIGHT
*
* All contributions by the University of California:
* Copyright (c) 2014-2017 The Regents of the University of California (Regents)
* All rights reserved.
*
* All other contributions:
* Copyright (c) 2014-201... |
55579b1d3b19c8b6deedf6fe9482bc19aafd3bd2.hip | // !!! This is a file automatically generated by hipify!!!
//
// Created by kier on 2019/3/6.
//
#include "kernels/gpu/gatherv2.h"
#include "global/operator_factory.h"
#include "backend/name.h"
#include "kernels/gpu/gpu_kernel.h"
#include <numeric>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#i... | 55579b1d3b19c8b6deedf6fe9482bc19aafd3bd2.cu | //
// Created by kier on 2019/3/6.
//
#include "kernels/gpu/gatherv2.h"
#include "global/operator_factory.h"
#include "backend/name.h"
#include "kernels/gpu/gpu_kernel.h"
#include <numeric>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include "kernels/gpu/cuda_context.h"
#include "core/device_cont... |
5f25a6485f2d29961cc9c3f6d7a22ae270da9218.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by op2.py
//
//user function
__device__ void simulation_1_gpu( float *out, const float *in) {
out[0] = in[0];
out[1] = in[1];
out[2] = in[2];
out[3] = in[3];
}
// CUDA kernel function
__global__ void ... | 5f25a6485f2d29961cc9c3f6d7a22ae270da9218.cu | //
// auto-generated by op2.py
//
//user function
__device__ void simulation_1_gpu( float *out, const float *in) {
out[0] = in[0];
out[1] = in[1];
out[2] = in[2];
out[3] = in[3];
}
// CUDA kernel function
__global__ void op_cuda_simulation_1(
float *arg0,
const float *__restrict arg1,
int set_size ) ... |
4c42e9d653841600c9bf3e8ba29aa4de59049e46.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
const int N = 512;
//const float a[N] = {10,1,8,-1,0,-2,3,5,-2,-3,2,7,0,11,0,2};
//const float b[N] = {10,1,8,-1,0,-2,3,5,-2,-3,2,7,0,11,0,2};
//const float xx[N] = { -4,-3... | 4c42e9d653841600c9bf3e8ba29aa4de59049e46.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
const int N = 512;
//const float a[N] = {10,1,8,-1,0,-2,3,5,-2,-3,2,7,0,11,0,2};
//const float b[N] = {10,1,8,-1,0,-2,3,5,-2,-3,2,7,0,11,0,2};
//const float xx[N] = { -4,-3.5,-3,-2.5,-2,-1.5,-1,-0.5,0,0.5,1,1.5,2,2.5,3,3.5 };
__glob... |
9d0839f9ef38ad7ed3258dc371ba7bc8159a3b50.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Simulated Annealing algorithm for Traveling Salesman Problem
@@ CUDA version: no parallel optimization, single thread
Input: xxx.tsp file
Output: optimal value (total distance)
& solution route: permutation of {1, 2, ...... | 9d0839f9ef38ad7ed3258dc371ba7bc8159a3b50.cu | /*
Simulated Annealing algorithm for Traveling Salesman Problem
@@ CUDA version: no parallel optimization, single thread
Input: xxx.tsp file
Output: optimal value (total distance)
& solution route: permutation of {1, 2, ..., N}
*/
#include <iostream>
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
... |
6ed914a66d2d461d27f20fd897c5772fe6da26d3.hip | // !!! This is a file automatically generated by hipify!!!
#include <unittest/unittest.h>
#include <thrust/copy.h>
#include <list>
#include <iterator>
#include <thrust/sequence.h>
#include <thrust/iterator/zip_iterator.h>
#include <thrust/iterator/counting_iterator.h>
#include <thrust/iterator/constant_iterator.h>
vo... | 6ed914a66d2d461d27f20fd897c5772fe6da26d3.cu | #include <unittest/unittest.h>
#include <thrust/copy.h>
#include <list>
#include <iterator>
#include <thrust/sequence.h>
#include <thrust/iterator/zip_iterator.h>
#include <thrust/iterator/counting_iterator.h>
#include <thrust/iterator/constant_iterator.h>
void TestCopyFromConstIterator(void)
{
typedef int T;
... |
6eb80874e42c8ecccaccf294a701c54b924e0e35.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 1993-2013 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, ... | 6eb80874e42c8ecccaccf294a701c54b924e0e35.cu | /*
* Copyright 1993-2013 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... |
9644d7ffe807eb2f7fce6b2da4e06b16e17b073f.hip | // !!! This is a file automatically generated by hipify!!!
#include "gtest/gtest.h"
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include "../gpu/arima/arima.h"
#include "cuda_utils2.h"
TEST(ARIMA, differencing) {
const int length = 10;
thrust::device_vector<float> data(length);
for (auto i... | 9644d7ffe807eb2f7fce6b2da4e06b16e17b073f.cu | #include "gtest/gtest.h"
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include "../gpu/arima/arima.h"
#include "cuda_utils2.h"
TEST(ARIMA, differencing) {
const int length = 10;
thrust::device_vector<float> data(length);
for (auto i = 0; i < length; ++i) data[i] = float(i / 2);
thrust::de... |
38d2e250fb0f05dee563a0095c5adb29b12931fa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <math.h>
// CUDA kernel to add elements of two arrays
__global__
void add(int n, float *x, float *y)
{
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for ... | 38d2e250fb0f05dee563a0095c5adb29b12931fa.cu | #include <iostream>
#include <math.h>
// CUDA kernel to add elements of two arrays
__global__
void add(int n, float *x, float *y)
{
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < n; i += stride)
y[i] = x[i] + y[i];
}
int main(void)
{
int N... |
6a898f8a77da1a3ca7128be200c64f74e8f287ea.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include <iostream>
#include <ctype.h>
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "hip/hip_runtime.h"
#define CEIL(a,b) ((a+b-1)/b)
#d... | 6a898f8a77da1a3ca7128be200c64f74e8f287ea.cu | #include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include <iostream>
#include <ctype.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "cuda.h"
#define CEIL(a,b) ((a+b-1)/b)
#define PI 3.1415926
#define EDGE 0... |
01df821c29fe577d5d5c80820b2a012b62a07909.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you... | 01df821c29fe577d5d5c80820b2a012b62a07909.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
5633fe73fd7862dbd11c88042a59112a2962f3a4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2018-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
... | 5633fe73fd7862dbd11c88042a59112a2962f3a4.cu | /*
* Copyright (c) 2018-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... |
ed538c6a15b46029260fcd8a223ea5c0dfbe8d50.hip | // !!! This is a file automatically generated by hipify!!!
#include <algorithm>
#include <stdio.h>
#include <omp.h>
#include <string>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime_api.h>
#define SIZE_BLOCK 1024
__global__ void reduction(double* new_u, double* f, double* u, long N, double h... | ed538c6a15b46029260fcd8a223ea5c0dfbe8d50.cu | #include <algorithm>
#include <stdio.h>
#include <omp.h>
#include <string>
#include <stdlib.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
#define SIZE_BLOCK 1024
__global__ void reduction(double* new_u, double* f, double* u, long N, double h){
__shared__ double temp[SIZE_BLOCK];
int index = (blockIdx.x)*bl... |
1baf870898ea1534dea5a84b06e2aba32551cbfa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <unistd.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <fcntl.h>
#include <stdlib.h>
#include <iostream>
#include "lodepng.h"
#include "lodepng.cu"
using namespace std;
__global__
void Picture... | 1baf870898ea1534dea5a84b06e2aba32551cbfa.cu | #include <stdio.h>
#include <unistd.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <fcntl.h>
#include <stdlib.h>
#include <iostream>
#include "lodepng.h"
#include "lodepng.cu"
using namespace std;
__global__
void PictureKernell(unsigned char* d_Pin, unsigned char* d_Pout, int n, int m){
int y = blockIdx... |
6362a81a07493ba2711140e1aff8f3aeb7eb4eed.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2022-2023, NVIDIA CORPORATION. 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
*
* ... | 6362a81a07493ba2711140e1aff8f3aeb7eb4eed.cu | /*
* Copyright (c) 2022-2023, NVIDIA CORPORATION. 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 ... |
cc2f080b657e393820c3f4b42f9bf6869724456d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
const int M = 32;
__global__ void bucket_sort(int *key, int *bucket, int n) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i >= n) return;
atomicAdd(bucket + key[i], 1); // Fill bucket by key
__syn... | cc2f080b657e393820c3f4b42f9bf6869724456d.cu | #include <cstdio>
const int M = 32;
__global__ void bucket_sort(int *key, int *bucket, int n) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i >= n) return;
atomicAdd(bucket + key[i], 1); // Fill bucket by key
__syncthreads(); // Wait for all threads to finish filling bucket
for (int j = 0, k = 0; j... |
311c6da1e065e8697c609d046447132932abca64.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void MergeRank(float * d_input, float * d_output)
{
int indexA = blockIdx.x * blockDim.x + threadIdx.x;
int indexB = indexA + 2048;
float temp1 = d_input[indexA];
float temp2 = d_input[indexB];
int i... | 311c6da1e065e8697c609d046447132932abca64.cu | #include "includes.h"
__global__ void MergeRank(float * d_input, float * d_output)
{
int indexA = blockIdx.x * blockDim.x + threadIdx.x;
int indexB = indexA + 2048;
float temp1 = d_input[indexA];
float temp2 = d_input[indexB];
int indexAB = 2048;
while (d_input[indexAB] < temp1) {
indexAB++;
}
int indexBA = 0;
while (d... |
e5068996fff22c1aebf800ce4ff1a1ad16594b71.hip | // !!! This is a file automatically generated by hipify!!!
#include "transformcuda.cuh"
int transform(cuwst *w,short sense){
// wrapper to "master" version taking a stream argument
return(transform(w,sense,NULL));
}
int transform(cuwst *w,short sense, hipStream_t stream){
int ret;
if(sense != w->transform... | e5068996fff22c1aebf800ce4ff1a1ad16594b71.cu | #include "transformcuda.cuh"
int transform(cuwst *w,short sense){
// wrapper to "master" version taking a stream argument
return(transform(w,sense,NULL));
}
int transform(cuwst *w,short sense, cudaStream_t stream){
int ret;
if(sense != w->transformed ? BWD : FWD){
printf("\nSense doesn't make sense. W... |
6da436ce7d2fc5088fe5d5b45afb80e5b21d8bd5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
//#include "input.h"
#include "knnCuda.h"
//#include "check.h"
#include "hipError_t.h"
#include "datasetFunctions.h"
// attributi
#d... | 6da436ce7d2fc5088fe5d5b45afb80e5b21d8bd5.cu | #include <stdint.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
//#include "input.h"
#include "knnCuda.h"
//#include "check.h"
#include "cudaError.h"
#include "datasetFunctions.h"
// attributi
#define A 30
// labels
#define LABELS 10
// numtreads
#define NT 32
//#define BLOCK_SIZE 32... |
046ebbcb95aba16c08efa2fc968d4388800f93ab.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 <c10/util/accumulate.h>
#includ... | 046ebbcb95aba16c08efa2fc968d4388800f93ab.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 <c10/util/accumulate.h>
#include <THC/THCGeneral.h>
#include <THC/THCNumerics.cuh>
#include <cub/device/device_scan... |
b78723a012b33e36526d16f10a6be76954a4e18a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* This file belongs to the Galois project, a C++ library for exploiting parallelism.
* The code is being released under the terms of the 3-Clause BSD License (a
* copy is located in LICENSE.txt at the top-level directory).
*
... | b78723a012b33e36526d16f10a6be76954a4e18a.cu | /*
* This file belongs to the Galois project, a C++ library for exploiting parallelism.
* The code is being released under the terms of the 3-Clause BSD License (a
* copy is located in LICENSE.txt at the top-level directory).
*
* Copyright (C) 2018, The University of Texas at Austin. All rights reserved.
* UNIVER... |
4ab8602ecf51a4881765b8fa86cc5ba7c3c2f8cf.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe/layers/roi_pooling_layer.hpp"
#include <cfloat>
using std::max;
using std::min;
namespace caffe {
template <typename Dtype>
__global__ void
ROIPoolForward(const int nthreads, const Dtype* bottom_data,
... | 4ab8602ecf51a4881765b8fa86cc5ba7c3c2f8cf.cu | #include "caffe/layers/roi_pooling_layer.hpp"
#include <cfloat>
using std::max;
using std::min;
namespace caffe {
template <typename Dtype>
__global__ void
ROIPoolForward(const int nthreads, const Dtype* bottom_data,
const Dtype spatial_scale, const int channels, const int height,
cons... |
8ed8a029fab9784de7a126577e0f1f6bbeee6968.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/// ****************************************************************************
/// ***************** Common utilities and CUDA Kernels **********************
/// ******************************************************************... | 8ed8a029fab9784de7a126577e0f1f6bbeee6968.cu | /// ****************************************************************************
/// ***************** Common utilities and CUDA Kernels **********************
/// ****************************************************************************
//~ #include "utils.h"
#include "common.h"
#define W_SIGN(a) ((a > 0) ? (1.0... |
f2387c3bbf5b24879151d9218f297a5fd53f0840.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <catboost/cuda/cuda_lib/kernel/kernel.cuh>
#include <catboost/cuda/cuda_util/kernel/random_gen.cuh>
#include <catboost/cuda/gpu_data/gpu_structures.h>
#include <catboost/cuda/cuda_util/kernel/kernel_helpers.cuh>
namespace... | f2387c3bbf5b24879151d9218f297a5fd53f0840.cu | #include <catboost/cuda/cuda_lib/kernel/kernel.cuh>
#include <catboost/cuda/cuda_util/kernel/random_gen.cuh>
#include <catboost/cuda/gpu_data/gpu_structures.h>
#include <catboost/cuda/cuda_util/kernel/kernel_helpers.cuh>
namespace NKernel {
template <ui32 BLOCK_SIZE>
__global__ void ComputeGroupIdsImpl(const... |
9088a2e9b2943467e7b559f3def483121126eea7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
extern "C" __global__ void manual_dot_nn_op_float_m1_k512_n1024_kernel0(float* input0, float* input1, float* output0)
{
int warp_id = threadIdx.x >> 5;
int lane_id = threadIdx.x & 31;
int col_id = blockIdx.x * blockDim.x... | 9088a2e9b2943467e7b559f3def483121126eea7.cu | extern "C" __global__ void manual_dot_nn_op_float_m1_k512_n1024_kernel0(float* input0, float* input1, float* output0)
{
int warp_id = threadIdx.x >> 5;
int lane_id = threadIdx.x & 31;
int col_id = blockIdx.x * blockDim.x / 8 + lane_id;
if (col_id < 1024)
{
float val = 0;
int k_start ... |
406dff04f8eb1f94a341d9621e63e109989c366c.hip | // !!! This is a file automatically generated by hipify!!!
#include "stdio.h"
#include<iostream>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#define N 1024
#define threadsPerBlock 512
#define cpu_sum(x) (x*(x+1))
__global__ void gpu_dot(float *d_a, float *d_b, float *d_c){
__shared__ float partial_su... | 406dff04f8eb1f94a341d9621e63e109989c366c.cu | #include "stdio.h"
#include<iostream>
#include <cuda.h>
#include <cuda_runtime.h>
#define N 1024
#define threadsPerBlock 512
#define cpu_sum(x) (x*(x+1))
__global__ void gpu_dot(float *d_a, float *d_b, float *d_c){
__shared__ float partial_sum[threadsPerBlock];
int tid = threadIdx.x + blockIdx.x * blockDim.x;... |
2c9b6237be044b3dea180d40cf9664c024129481.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2013 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this soft... | 2c9b6237be044b3dea180d40cf9664c024129481.cu | /*
* Copyright 1993-2013 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... |
65c12d81fd900f4faeda028b3d7831beddea0c48.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <primitiv/config.h>
#include <primitiv/devices/cuda16/device.h>
#include <primitiv/devices/cuda16/ops/common.h>
#include <primitiv/internal/cuda/utils.h>
namespace {
__constant__ std::uint32_t permute_dims_x_strides[prim... | 65c12d81fd900f4faeda028b3d7831beddea0c48.cu | #include <primitiv/config.h>
#include <primitiv/devices/cuda16/device.h>
#include <primitiv/devices/cuda16/ops/common.h>
#include <primitiv/internal/cuda/utils.h>
namespace {
__constant__ std::uint32_t permute_dims_x_strides[primitiv::Shape::MAX_DEPTH];
__constant__ std::uint32_t permute_dims_y_strides[primitiv::Sha... |
b08cf4244b45dfd30e26568ca03884b80772ed8b.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#define MATRIX_SIZE 64
__global__ void Square(int *A)
{
// Block index
/************Add your code***********/
int bx = blockIdx.x;
int by = blockIdx.y;
// Thread index
/************Add your code**... | b08cf4244b45dfd30e26568ca03884b80772ed8b.cu | #include <stdio.h>
#include <cuda_runtime.h>
#define MATRIX_SIZE 64
__global__ void Square(int *A)
{
// Block index
/************Add your code***********/
int bx = blockIdx.x;
int by = blockIdx.y;
// Thread index
/************Add your code***********/
int tx = threadIdx.x;
int ty = threadIdx.... |
6fe2f184c8d91e0f4a925179d01317c6d97a56fa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Lab 5, image filters with CUDA.
// Compile with a command-line similar to Lab 4:
// nvcc filter.cu -c -arch=sm_30 -o filter.o
// g++ filter.o milli.c readppm.c -lGL -lm -lcuda -lcudart -L/usr/local/cuda/lib -lglut -o filter
// o... | 6fe2f184c8d91e0f4a925179d01317c6d97a56fa.cu | // Lab 5, image filters with CUDA.
// Compile with a command-line similar to Lab 4:
// nvcc filter.cu -c -arch=sm_30 -o filter.o
// g++ filter.o milli.c readppm.c -lGL -lm -lcuda -lcudart -L/usr/local/cuda/lib -lglut -o filter
// or (multicore lab)
// nvcc filter.cu -c -arch=sm_20 -o filter.o
// g++ filter.o milli.c r... |
0815267381f46246bc36c5f5fdd4a4fa1b36cdc8.hip | // !!! This is a file automatically generated by hipify!!!
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// I... | 0815267381f46246bc36c5f5fdd4a4fa1b36cdc8.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
e280f7f1e34c3336169c17ee2a2a91d5266339d1.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
// #include <helper_cuda.h>
#define THREADS_PER_BLOCK 3
double f(double x){
return x*x;
}
__global__ void calculate(double *buffer, double start, double step, int N, double (*f) (double)){
int i = blockIdx.x ... | e280f7f1e34c3336169c17ee2a2a91d5266339d1.cu | #include <stdio.h>
#include <cuda_runtime.h>
// #include <helper_cuda.h>
#define THREADS_PER_BLOCK 3
double f(double x){
return x*x;
}
__global__ void calculate(double *buffer, double start, double step, int N, double (*f) (double)){
int i = blockIdx.x * blockDim.x + threadIdx.x;
if(i < N){
double x = start + i... |
49d78731b1d40670104fab5a1338f1fcf5ccd6cc.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "vec_add.hip"
#include<chrono>
#include<iostream>
using namespace... | 49d78731b1d40670104fab5a1338f1fcf5ccd6cc.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "vec_add.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{... |
7e23199f4529b676d5b8fd3bb594854dea7b79b8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "main.hpp"
#include "kernels_hip.cuh"
// Device kernels.
__global__ void kernelAbs(
float* arr,
int size)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i >= size)
{
return;
}
arr... | 7e23199f4529b676d5b8fd3bb594854dea7b79b8.cu | #include "main.hpp"
#include "kernels.cuh"
// Device kernels.
__global__ void kernelAbs(
float* arr,
int size)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if (i >= size)
{
return;
}
arr[i] = abs(arr[i]);
}
__global__ void kernelEliminateConnections(
float* inGroupConnecti... |
6c936787277114a353a931f1e239bbb12d9cb38a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "z.h"
#define BLOCK_DIM_X 64
#define N(x) (erf((x)/sqrt(2.0f))/2+0.5f)
__global__ void gpuBlackScholes(float* call,float* S,float* X,float* T,float* r,float* sigma,int len){
int ii=threadIdx.x+blockDim.x*blockIdx.x;
... | 6c936787277114a353a931f1e239bbb12d9cb38a.cu |
#include "z.h"
#define BLOCK_DIM_X 64
#define N(x) (erf((x)/sqrt(2.0f))/2+0.5f)
__global__ void gpuBlackScholes(float* call,float* S,float* X,float* T,float* r,float* sigma,int len){
int ii=threadIdx.x+blockDim.x*blockIdx.x;
if(ii>len){
return;
}
float d1=
(log(S[ii]/X[ii])+(r[ii]+(sigma[ii]*sigma[ii... |
ba10c29d3b2882953904599c51f70999fc055cfc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <sys/time.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__
void im2col(float *A, int inputSize, int depth, int kernelSize, int stride, int pad, float *col, int o... | ba10c29d3b2882953904599c51f70999fc055cfc.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <sys/time.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
__global__
void im2col(float *A, int inputSize, int depth, int kernelSize, int stride, int pad, float *col, int outputSize) {
// 一个线程完成一次卷积操作中的转换 也就是说 一个线程转换生成col中的一... |
326f3a0bf6f52845db580cbd6dd2205406ee55c9.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 2014 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache... | 326f3a0bf6f52845db580cbd6dd2205406ee55c9.cu | /*
* Copyright 2014 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicab... |
c2690a469d21b93e9e458029051162ca3b18e853.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Matrix multiplication based on modified NVIDIA samples code
* Copyright (C) 2014 Ren Oertel (rene.oertel@cs.tu-chemnitz.de)
*
* This program is free software: you can redistribute it and/or modify
* it under the terms ... | c2690a469d21b93e9e458029051162ca3b18e853.cu | /*
* Matrix multiplication based on modified NVIDIA samples code
* Copyright (C) 2014 René Oertel (rene.oertel@cs.tu-chemnitz.de)
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, eit... |
09c55d674b32e5e5daf852dfd11937d5df051569.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#define WSIZE 32
#define LOOPS 100000
#define UPPER_BIT 31
#define LOWER_BIT 0
__device__ unsigned int ddata[WSIZE];
// naive warp-level bitwise radix sort
__global__ void mykernel(){
__sh... | 09c55d674b32e5e5daf852dfd11937d5df051569.cu | #include <stdio.h>
#include <stdlib.h>
#define WSIZE 32
#define LOOPS 100000
#define UPPER_BIT 31
#define LOWER_BIT 0
__device__ unsigned int ddata[WSIZE];
// naive warp-level bitwise radix sort
__global__ void mykernel(){
__shared__ volatile unsigned int sdata[WSIZE*2];
// load from global into shared variable
... |
3138d5c628e860e88cac5f0ec2d7a2bceda61aef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
__global__ void orcu_kernel53927(const int sites_on_node, double* A, double* y, double* x) {
const int tid=blockIdx.x*blockDim.x+threadIdx.x;
const int gsize=gridDim.x*blockDim.x;
double ci, ai, bi, ar, br, cr;
int j, k;
f... | 3138d5c628e860e88cac5f0ec2d7a2bceda61aef.cu | __global__ void orcu_kernel53927(const int sites_on_node, double* A, double* y, double* x) {
const int tid=blockIdx.x*blockDim.x+threadIdx.x;
const int gsize=gridDim.x*blockDim.x;
double ci, ai, bi, ar, br, cr;
int j, k;
for (int i=tid; i<=sites_on_node-1; i+=gsize) {
{
#pragma unroll 2
for (j... |
579545f22c93e3b8c00f3ac90e1a9f46a2a764d0.hip | // !!! This is a file automatically generated by hipify!!!
extern "C" {
#include "rdma.h"
#include "timing.h"
#include "fifo.h"
}
#include <fcntl.h>
#include <unistd.h>
#include <rocblas.h>
#include <hip/hip_runtime.h>
#define M 2048UL
#define N M
#define K N
#define P 16UL
#define LDA1 K
#define LDB1 M... | 579545f22c93e3b8c00f3ac90e1a9f46a2a764d0.cu | extern "C" {
#include "rdma.h"
#include "timing.h"
#include "fifo.h"
}
#include <fcntl.h>
#include <unistd.h>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#define M 2048UL
#define N M
#define K N
#define P 16UL
#define LDA1 K
#define LDB1 M
#define LDB2 LDB1*N
#define LDC1 N
#define LDC2 LDC1*M
#de... |
af6929679b6722dec61dacb92c148de3ab2a56ad.hip | // !!! This is a file automatically generated by hipify!!!
/**
* syrk.cu: This file is part of the PolyBench/GPU 1.0 test suite.
*
*
* Contact: Scott Grauer-Gray <sgrauerg@gmail.com>
* Louis-Noel Pouchet <pouchet@cse.ohio-state.edu>
* Web address: http://www.cse.ohio-state.edu/~pouchet/software/polybench/GPU
*/
... | af6929679b6722dec61dacb92c148de3ab2a56ad.cu | /**
* syrk.cu: This file is part of the PolyBench/GPU 1.0 test suite.
*
*
* Contact: Scott Grauer-Gray <sgrauerg@gmail.com>
* Louis-Noel Pouchet <pouchet@cse.ohio-state.edu>
* Web address: http://www.cse.ohio-state.edu/~pouchet/software/polybench/GPU
*/
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#... |
93a8d0dc60183031a0907415edd1d87295e05e1b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Exercise 1 from http://webapp.dam.brown.edu/wiki/SciComp/CudaExercises
// Transposition of a matrix
// by Hendrik Riedmann <riedmann@dam.brown.edu>
// Andrew Cron added bounds checks ...
// Andrew Cron added Z grid dimension to... | 93a8d0dc60183031a0907415edd1d87295e05e1b.cu | // Exercise 1 from http://webapp.dam.brown.edu/wiki/SciComp/CudaExercises
// Transposition of a matrix
// by Hendrik Riedmann <riedmann@dam.brown.edu>
// Andrew Cron added bounds checks ...
// Andrew Cron added Z grid dimension to X for larger matrices
#define BLOCK_SIZE %(block_size)d
#define A_BLOCK_STRIDE (BL... |
5e7648668eaa1ffc61f01f05d43420e98c3d2031.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <chrono>
#include <math.h>
using namespace std;
__global__
void reduce(int n, float *x, float *y)
{
int oindex = blockIdx.x + blockIdx.y * blockDim.x;
int index = blockIdx.x * blockDim.x + threadIdx.... | 5e7648668eaa1ffc61f01f05d43420e98c3d2031.cu | #include <iostream>
#include <chrono>
#include <math.h>
using namespace std;
__global__
void reduce(int n, float *x, float *y)
{
int oindex = blockIdx.x + blockIdx.y * blockDim.x;
int index = blockIdx.x * blockDim.x + threadIdx.x;
int stride = blockDim.x * gridDim.x;
for (int i = index; i < n; i += stride)
y... |
f093b6642435a7aada25424ca43133bad5392d06.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <fstream>
#include <time.h>
#include <stdlib.h>
#inc... | f093b6642435a7aada25424ca43133bad5392d06.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <fstream>
#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <cstdlib>
#pragma once
#ifdef __INTELL... |
ea1b5969c2a30d384a167cce30ac71a98494540f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define W 500
#define H 500
#define TX 32
#define TY 32
__device__
unsigned char clip(int n){
return n>255?255:(n<0?0:n);
}
__global__
void distanceKernel(uchar4 *d_out,int w,int h,int2 pos){
const int c=blockIdx.x*blockDim.x+th... | ea1b5969c2a30d384a167cce30ac71a98494540f.cu | #define W 500
#define H 500
#define TX 32
#define TY 32
__device__
unsigned char clip(int n){
return n>255?255:(n<0?0:n);
}
__global__
void distanceKernel(uchar4 *d_out,int w,int h,int2 pos){
const int c=blockIdx.x*blockDim.x+threadIdx.x;
const int r=blockIdx.y*blockDim.y+threadIdx.y;
const int i =r*w+c;
if ((c>... |
8e036229eb1a609f8d0ac1453dd984dbbfa484fe.hip | // !!! This is a file automatically generated by hipify!!!
#include "BufferCompaction.h"
#include "GpuMemUtils.h"
#include "GpuRtConstants.h"
#include "ResultSetBufferAccessors.h"
#include "ResultSetSortImpl.h"
#include "SortUtils.cuh"
#include <thrust/copy.h>
#include <thrust/execution_policy.h>
#include <thrust/host... | 8e036229eb1a609f8d0ac1453dd984dbbfa484fe.cu | #include "BufferCompaction.h"
#include "GpuMemUtils.h"
#include "GpuRtConstants.h"
#include "ResultSetBufferAccessors.h"
#include "ResultSetSortImpl.h"
#include "SortUtils.cuh"
#include <thrust/copy.h>
#include <thrust/execution_policy.h>
#include <thrust/host_vector.h>
#include <thrust/sort.h>
#define FORCE_CPU_VERS... |
bf49cc46ad43698e032eb94e2d1680e43d7b7b96.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
... | bf49cc46ad43698e032eb94e2d1680e43d7b7b96.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... |
4241339c85cc2ab0c244ecf5ce1b9cdf37f958cd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* DifferentialDecoder.cpp
*
* Created on: May 15, 2013
* Author: adm85
*/
#include <vector>
#include <iostream>
#include <fstream>
#include "DifferentialDecoder.h"
#include "Kernels.h"
using namespace std;
namespace ... | 4241339c85cc2ab0c244ecf5ce1b9cdf37f958cd.cu | /*
* DifferentialDecoder.cpp
*
* Created on: May 15, 2013
* Author: adm85
*/
#include <vector>
#include <iostream>
#include <fstream>
#include "DifferentialDecoder.h"
#include "Kernels.h"
using namespace std;
namespace PAQ_SOQPSK {
DifferentialDecoder::DifferentialDecoder() {
//We set the initial delta... |
9e9945a8e9594e43d673c5d8cb58b05fbbf175fe.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/hip/HIPBlas.h>
#include <c10/hip/HIPException.h>
#include <c10/test/util/complex_test_common.h>
__global__ void test_thrust_kernel() {
// thrust conversion
{
constexpr float num1 = float(1.23);
constexpr floa... | 9e9945a8e9594e43d673c5d8cb58b05fbbf175fe.cu | #include <ATen/cuda/CUDABlas.h>
#include <c10/cuda/CUDAException.h>
#include <c10/test/util/complex_test_common.h>
__global__ void test_thrust_kernel() {
// thrust conversion
{
constexpr float num1 = float(1.23);
constexpr float num2 = float(4.56);
assert(c10::complex<float>(thrust::complex<float>(num1, num2... |
cfadf67a16b54cdd72a128b73300042c640b48fe.hip | // !!! This is a file automatically generated by hipify!!!
#include <torch/extension.h>
#include <ATen/ATen.h>
using namespace at;
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <vector>
#include <iostream>
// Cuda tensor accessor definitions
// restrict pointer traits piroritize speed over memo... | cfadf67a16b54cdd72a128b73300042c640b48fe.cu | #include <torch/extension.h>
#include <ATen/ATen.h>
using namespace at;
#include <cuda.h>
#include <cuda_runtime.h>
#include <vector>
#include <iostream>
// Cuda tensor accessor definitions
// restrict pointer traits piroritize speed over memory consumption
#define TensorAcc4R PackedTensorAccessor<scalar_t,4,Restri... |
0fbf941e7cbe30fbc222eec0da1f9a8eb38dc471.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "accessor.h"
#include "model.h"
#include "cuda_helper.h"
template<typename DT, int dim>
TensorAccessorR<DT, dim>::TensorAccessorR(PhysicalRegion region,
RegionRequirement req,
... | 0fbf941e7cbe30fbc222eec0da1f9a8eb38dc471.cu | #include "accessor.h"
#include "model.h"
#include "cuda_helper.h"
template<typename DT, int dim>
TensorAccessorR<DT, dim>::TensorAccessorR(PhysicalRegion region,
RegionRequirement req,
FieldID fid,
... |
acef4e23504c5a46122b234450dcc7c02e58c647.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
author : Anshul Farkya
created on : 12-feb-2021
*/
#include <stdio.h>
#include <stdlib.h>
#include "kernels.h"
// Print the matrix
void printMatrix(int *mat, int rows, int cols)
{
for(int i=0; i < rows; i++)
{
for(int ... | acef4e23504c5a46122b234450dcc7c02e58c647.cu | /*
author : Anshul Farkya
created on : 12-feb-2021
*/
#include <stdio.h>
#include <stdlib.h>
#include "kernels.h"
// Print the matrix
void printMatrix(int *mat, int rows, int cols)
{
for(int i=0; i < rows; i++)
{
for(int j=0; j < cols; j++)
{
printf("%d ", mat[i*cols+j]);
}
printf("\n");
}
... |
a29c2605380217e0cde1ea36a92ec58fb1c5a9c1.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>... | a29c2605380217e0cde1ea36a92ec58fb1c5a9c1.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... |
1bf5795cdd9fc313407cb16ff820b0e98047f592.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 "mixed_tentusscher_myo_epi_2004_S1_1.h"
extern "C" SET_ODE_INITIAL_CONDITIONS_GPU(set_model_initial_conditions_gpu)
{
print_to_stdout_and_file("Us... | 1bf5795cdd9fc313407cb16ff820b0e98047f592.cu | #include <stddef.h>
#include <stdint.h>
#include "model_gpu_utils.h"
#include "mixed_tentusscher_myo_epi_2004_S1_1.h"
extern "C" SET_ODE_INITIAL_CONDITIONS_GPU(set_model_initial_conditions_gpu)
{
print_to_stdout_and_file("Using mixed version of TenTusscher 2004 myocardium + epicardium GPU model\n\n");
// e... |
977ed52908b3518ed86dd0320ffc752995aa25cf.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <chrono>
#include <hiprand/hiprand_kernel.h>
#include <stdio.h>
#include "../configuration.h"
#ifdef OPTION_RENDER
#include "../rendering.h"
#endif // OPTION_RENDER
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __... | 977ed52908b3518ed86dd0320ffc752995aa25cf.cu | #include <chrono>
#include <curand_kernel.h>
#include <stdio.h>
#include "../configuration.h"
#ifdef OPTION_RENDER
#include "../rendering.h"
#endif // OPTION_RENDER
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true)
{... |
672878313c6d20fa789b564c5f73d51da19a1b8e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* _reg_mutualinformation_gpu.cu
*
*
* Created by Marc Modat on 24/03/2009.
* Copyright (c) 2009, University College London. All rights reserved.
* Centre for Medical Image Computing (CMIC)
* See the LICENSE.txt file... | 672878313c6d20fa789b564c5f73d51da19a1b8e.cu | /*
* _reg_mutualinformation_gpu.cu
*
*
* Created by Marc Modat on 24/03/2009.
* Copyright (c) 2009, University College London. All rights reserved.
* Centre for Medical Image Computing (CMIC)
* See the LICENSE.txt file in the nifty_reg root folder
*
*/
#ifndef _REG_MUTUALINFORMATION_GPU_CU
#define _REG... |
c0c3ce07432ab1ffb877c3c06396f09cbcce729d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) Microsoft Corporation.
// SPDX-License-Identifier: Apache-2.0
// DeepSpeed Team
#include "ds_kernel_utils.h"
#include "memory_access_utils.h"
#include "quantization.h"
#include "quantization_utils.h"
#include "red... | c0c3ce07432ab1ffb877c3c06396f09cbcce729d.cu | // Copyright (c) Microsoft Corporation.
// SPDX-License-Identifier: Apache-2.0
// DeepSpeed Team
#include "ds_kernel_utils.h"
#include "memory_access_utils.h"
#include "quantization.h"
#include "quantization_utils.h"
#include "reduction_utils.h"
namespace cg = cooperative_groups;
/*
Pure quantization kernel with no... |
905e4f88c97a2d2c7a08576368afdb8d5f4404d1.hip | // !!! This is a file automatically generated by hipify!!!
//===============================================================================================================================================================================================================200
// INCLUDE/DEFINE
//============================... | 905e4f88c97a2d2c7a08576368afdb8d5f4404d1.cu | //===============================================================================================================================================================================================================200
// INCLUDE/DEFINE
//=======================================================================================... |
3a19d3cd0b4f20a7b2f7989ca29224b6ecd22c7c.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include <hiprand/hiprand_kernel.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#define IDX(w, t, n_walkers) ((w) + ((t)*(... | 3a19d3cd0b4f20a7b2f7989ca29224b6ecd22c7c.cu | #include <cuda.h>
#include <curand.h>
#include <curand_kernel.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <stdlib.h>
#include <math.h>
#include <stdio.h>
#define IDX(w, t, n_walkers) ((w) + ((t)*(n_walkers)))
/***************************************************************/
__global_... |
59a0550936ddaf73d67123b95654da785ac701ce.hip | // !!! This is a file automatically generated by hipify!!!
#include "cudaUtils.hpp"
void __CUDAErrorCheck(const char *file,
const int line) {
hipError_t status = hipGetLastError();
if (hipSuccess != status) {
printf("!!!Error, CUDAErrorCheck failed, %s:%i : %s\n",
f... | 59a0550936ddaf73d67123b95654da785ac701ce.cu | #include "cudaUtils.hpp"
void __CUDAErrorCheck(const char *file,
const int line) {
cudaError status = cudaGetLastError();
if (cudaSuccess != status) {
printf("!!!Error, CUDAErrorCheck failed, %s:%i : %s\n",
file, line, cudaGetErrorString(status));
exit(-1);
... |
14f287a9fd5e58dfc387530c29c72f0e176af0de.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <chrono>
#include <hip/hip_runtime.h>
#include "utils.h"
#include "kernel.h"
int main(int argc, char* argv[])
{
if (argc != 2) {
printf("Usage: %s <repeat>\n", argv[0]);
return 1;
}
... | 14f287a9fd5e58dfc387530c29c72f0e176af0de.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <chrono>
#include <hip/hip_runtime.h>
#include "utils.h"
#include "kernel.h"
int main(int argc, char* argv[])
{
if (argc != 2) {
printf("Usage: %s <repeat>\n", argv[0]);
return 1;
}
const int repeat = atoi(argv[1]);
float *th, *pii, *q;
... |
ac9678c920a98e95c4752722be72958fab1e4901.hip | // !!! This is a file automatically generated by hipify!!!
#include <ATen/Context.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/Dispatch.h>
#include <ATen/NativeFunctions.h>
#include <ATen/hip/PinnedMemoryAllocator.h>
#include <ATen/hip/detail/IndexUtils.cuh>
#include <ATen/native/LinearAlgebraUtils.h>
#include <... | ac9678c920a98e95c4752722be72958fab1e4901.cu | #include <ATen/Context.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/Dispatch.h>
#include <ATen/NativeFunctions.h>
#include <ATen/cuda/PinnedMemoryAllocator.h>
#include <ATen/cuda/detail/IndexUtils.cuh>
#include <ATen/native/LinearAlgebraUtils.h>
#include <ATen/native/cuda/MiscUtils.h>
#include <ATen/native/Res... |
a844720c02b482ee6d4eddf1033f9bb127df086e.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <iostream>
#include <fstream>
#include <sstream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
#include <stdbool.h>
#include <math.h>
usin... | a844720c02b482ee6d4eddf1033f9bb127df086e.cu | #include <stdio.h>
#include <cuda_runtime.h>
#include <iostream>
#include <fstream>
#include <sstream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include "opencv2/imgproc/imgproc.hpp"
#include <stdbool.h>
#include <math.h>
using namespace cv;
using namespace std;
#define BLOCKSIZE 32 //T... |
3e857203cb52e1ea95cc92f0cd6a2b6d758f260f.hip | // !!! This is a file automatically generated by hipify!!!
/*--------------------------------------------------------------------*/
/* CUDA utility Library */
/* written by Viktor K. Decyk, UCLA */
#include <stdlib.h>
#include <stdio.h>
#include "hip/hip_runtime.h"
int nblock_size = 64;
int ngrid_size = 1;
int maxgsx... | 3e857203cb52e1ea95cc92f0cd6a2b6d758f260f.cu | /*--------------------------------------------------------------------*/
/* CUDA utility Library */
/* written by Viktor K. Decyk, UCLA */
#include <stdlib.h>
#include <stdio.h>
#include "cuda.h"
int nblock_size = 64;
int ngrid_size = 1;
int maxgsx = 65535;
int mmcc = 0;
static int devid;
static cudaError_t crc;
__... |
120ee4c5616383d4a10f2c71d88cd2c7aff1e550.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you... | 120ee4c5616383d4a10f2c71d88cd2c7aff1e550.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
d15b85110f549b17305287f01a6c85f0317268e9.hip | // !!! This is a file automatically generated by hipify!!!
#include "funset.hpp"
#include <iostream>
#include <chrono>
#include <hip/hip_runtime.h>
#include <device_launch_parameters.h>
#include "common.hpp"
/* __global__: ;;,3.2
;void;,
;,
gridblock,(<<< >>>);
a kernel,(GPUCUDAkernel(
),__global__);*/
__global__ st... | d15b85110f549b17305287f01a6c85f0317268e9.cu | #include "funset.hpp"
#include <iostream>
#include <chrono>
#include <cuda_runtime.h>
#include <device_launch_parameters.h>
#include "common.hpp"
/* __global__: 函数类型限定符;在设备上运行;在主机端调用,计算能力3.2及以上可以在
设备端调用;声明的函数的返回值必须是void类型;对此类型函数的调用是异步的,即在
设备完全完成它的运行之前就返回了;对此类型函数的调用必须指定执行配置,即用于在
设备上执行函数时的grid和block的维度,以及相关的流(即插入<<< ... |
4a60759bea2033a718524244d2fd3690e0ffe81f.hip | // !!! This is a file automatically generated by hipify!!!
////////////////////////////////////////////////////////////////////////////
//
// EXAMPLE OF BAD PREFIX-SCAN CHAPTER 8
// inclusive Kogge_Stone_scan
//
////////////////////////////////////////////////////////////////////////////
#include "hip/hip_runtime.h"
... | 4a60759bea2033a718524244d2fd3690e0ffe81f.cu | ////////////////////////////////////////////////////////////////////////////
//
// EXAMPLE OF BAD PREFIX-SCAN CHAPTER 8
// inclusive Kogge_Stone_scan
//
////////////////////////////////////////////////////////////////////////////
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#inc... |
b9f73ffd52db31bbf4716f99cfae1d53872181c6.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <faiss/gpu/GpuResources.h>
#include <faiss/gpu/utils/DeviceUti... | b9f73ffd52db31bbf4716f99cfae1d53872181c6.cu | /**
* Copyright (c) Facebook, Inc. and its affiliates.
*
* This source code is licensed under the MIT license found in the
* LICENSE file in the root directory of this source tree.
*/
#include <faiss/gpu/GpuResources.h>
#include <faiss/gpu/utils/DeviceUtils.h>
#include <faiss/impl/AuxIndexStructures.h>
#include <... |
9688387d322c2a7998882465bb296cbab67565c5.hip | // !!! This is a file automatically generated by hipify!!!
#include "common.h"
#include <hip/hip_runtime.h>
#include <stdio.h>
/*
* CUDA Project - HPC 2019 I
*
* This program demonstrates a simple simulation box which attempts to model
* traffic flow on the GPU and on the host.
* sumArraysOnGPU splits the work o... | 9688387d322c2a7998882465bb296cbab67565c5.cu | #include "common.h"
#include <cuda_runtime.h>
#include <stdio.h>
/*
* CUDA Project - HPC 2019 I
*
* This program demonstrates a simple simulation box which attempts to model
* traffic flow on the GPU and on the host.
* sumArraysOnGPU splits the work of the vector across CUDA threads on the
* GPU. Only a single ... |
85f8cf7984ecb1b4b839351267cca3c234971887.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this soft... | 85f8cf7984ecb1b4b839351267cca3c234971887.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... |
5ba5e891e261ddd23b3d071b132dac65897de2e6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// ###
// ###
// ### Practical Course: GPU Programming in Computer Vision
// ###
// ###
// ### Technical University Munich, Computer Vision Group
// ### Summer Semester 2017, September 11 - October 9
// ###
// Exercise 9
// Writte... | 5ba5e891e261ddd23b3d071b132dac65897de2e6.cu | // ###
// ###
// ### Practical Course: GPU Programming in Computer Vision
// ###
// ###
// ### Technical University Munich, Computer Vision Group
// ### Summer Semester 2017, September 11 - October 9
// ###
// Exercise 9
// Written by: Jiho Yang (M.Sc student in Computational Science & Engineering)
// Matriculation n... |
d6775b0b6a927698f5ca9ce84b97252292104980.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "LocalConnect.h"
#include "../common/cuBase.h"
#include "../common/Config.h"
/*
dim3 block = dim3(batch, outputAmount);
dim3 thread= min(outputDim * outputDim, 512);
*/
__global__ void g_LocalConnect_backpropagation_kerne... | d6775b0b6a927698f5ca9ce84b97252292104980.cu | #include "LocalConnect.h"
#include "../common/cuBase.h"
#include "../common/Config.h"
/*
dim3 block = dim3(batch, outputAmount);
dim3 thread= min(outputDim * outputDim, 512);
*/
__global__ void g_LocalConnect_backpropagation_kernelSize1(
double* _curDelta,
double**_w,
double* _nextDelta,
int dim,
int are... |
c7801994b24343c69deefb057f535c1dc2dc2098.hip | // !!! This is a file automatically generated by hipify!!!
//
// Cardiff University | Computer Science
// Module: CM3203 One Semester Project (40 Credits)
// Title: Parallelisation of Matrix Exponentials in C++/CUDA for Quantum Control
// Date: 2016
//
// Author: Peter Davison
// Supervisor: Dr. Fran... | c7801994b24343c69deefb057f535c1dc2dc2098.cu | //
// Cardiff University | Computer Science
// Module: CM3203 One Semester Project (40 Credits)
// Title: Parallelisation of Matrix Exponentials in C++/CUDA for Quantum Control
// Date: 2016
//
// Author: Peter Davison
// Supervisor: Dr. Frank C Langbein
// Moderator: Dr. Irena Spasic
//
// Include... |
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