hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
82a839c0d888dc182b347f900dd65318717d0860.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/core/core.hpp>
#include <stdio.h>
#include <iostream>
#include <chrono>
#include "common.h"
using name... | 82a839c0d888dc182b347f900dd65318717d0860.cu | #include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/core/core.hpp>
#include <stdio.h>
#include <iostream>
#include <chrono>
#include "common.h"
using namespace std;
__global__ void normalize_image(unsigned char* input, unsigned char* output,... |
6b7034047fd451c3fd514f36ff79b83a509fb671.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2018, 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... | 6b7034047fd451c3fd514f36ff79b83a509fb671.cu | /*
* Copyright (c) 2018, 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 ... |
034efa21087cbf3246f6092db7d19b7f3bd83a61.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// --------------------------------------------------------
// Fast R-CNN
// Copyright (c) Microsoft. All rights reserved.
// Written by Ross Girshick, 2015.
// Licensed under the BSD 2-clause "Simplified" license.
// See LICENSE in... | 034efa21087cbf3246f6092db7d19b7f3bd83a61.cu | // --------------------------------------------------------
// Fast R-CNN
// Copyright (c) Microsoft. All rights reserved.
// Written by Ross Girshick, 2015.
// Licensed under the BSD 2-clause "Simplified" license.
// See LICENSE in the Fast R-CNN project root for license
// information.
// ----------------------------... |
4ffd71b9b05a9df933f5bfe56e960bfa49fd8d64.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "UpsampleLayer.h"
namespace nvinfer1
{
__device__ int translate_idx(int ii, int d1, int d2, int d3, int scale_factor) {
int x, y, z, w;
w = ii % d3;
ii = ii/d3;
z = ii % d2;
ii = ii/d2;
y = ii % d... | 4ffd71b9b05a9df933f5bfe56e960bfa49fd8d64.cu | #include "UpsampleLayer.h"
namespace nvinfer1
{
__device__ int translate_idx(int ii, int d1, int d2, int d3, int scale_factor) {
int x, y, z, w;
w = ii % d3;
ii = ii/d3;
z = ii % d2;
ii = ii/d2;
y = ii % d1;
ii = ii/d1;
x = ii;
w = w/scale_factor;
z = z/scale_factor;
d2 /=... |
bef86f8336c47114a62eddc57e5fd77dc229174a.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... | bef86f8336c47114a62eddc57e5fd77dc229174a.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... |
11a8375a62082e76b74211eb4b4f5f6df4991a36.hip | // !!! This is a file automatically generated by hipify!!!
// RUN: %run_test hipify "%s" "%t" %cuda_args
// CHECK: #include "hip/hip_runtime.h"
// CHECK-NOT: #include "hip/hip_runtime.h"
// CHECK: #include <stdio.h>
#include "hip/hip_runtime.h"
#include "hip/hip_runtime.h"
#include <stdio.h>
| 11a8375a62082e76b74211eb4b4f5f6df4991a36.cu | // RUN: %run_test hipify "%s" "%t" %cuda_args
// CHECK: #include "hip/hip_runtime.h"
// CHECK-NOT: #include "cuda_runtime.h"
// CHECK: #include <stdio.h>
#include "cuda.h"
#include "cuda_runtime.h"
#include <stdio.h>
|
abc2262f99a21bed0d9f146ae197127a2c830dab.hip | // !!! This is a file automatically generated by hipify!!!
#include <THHUNN/THHUNN.h>
#include <THHUNN/common.h>
#include <TH/THHalf.h>
#include <THH/THHNumerics.cuh>
#include <THH/THHApply.cuh>
#include <thrust/fill.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
#include <thrust/reduce.h>
#include <... | abc2262f99a21bed0d9f146ae197127a2c830dab.cu | #include <THCUNN/THCUNN.h>
#include <THCUNN/common.h>
#include <TH/THHalf.h>
#include <THC/THCNumerics.cuh>
#include <THC/THCApply.cuh>
#include <thrust/fill.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
#include <thrust/reduce.h>
#include <thrust/inner_product.h>
template <typename Dtype, typename... |
b2a5603bd393752540e33730779b2801a09e37d1.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 "executeFourthLayer.cu"
#include<chrono>
#include<iostream>
using... | b2a5603bd393752540e33730779b2801a09e37d1.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 "executeFourthLayer.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16... |
39453d01ce644384ae5936243fd7c85c4e653e88.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//https://github.com/flyingwolfz/point-oriented-algorithms-CGH-cuda
#include <stdio.h>
#include <stdlib.h>
#include<cuda_runtime.h>
#include "device_launch_parameters.h"
__global__ void test(float *dimage, float *dholo )
{
int h = ... | 39453d01ce644384ae5936243fd7c85c4e653e88.cu | //https://github.com/flyingwolfz/point-oriented-algorithms-CGH-cuda
#include <stdio.h>
#include <stdlib.h>
#include<cuda_runtime.h>
#include "device_launch_parameters.h"
__global__ void test(float *dimage, float *dholo )
{
int h = blockIdx.x*blockDim.x + threadIdx.x;
int l = blockIdx.y*blockDim.y + threadIdx.y;
floa... |
26ffca8229279cd28e2cd231e7eee3e920a9e326.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <math.h>
#include <sys/time.h>
//-----------------------------------------------------------------------------
// GpuConstantsPackage: a struct to hold many constants (including point... | 26ffca8229279cd28e2cd231e7eee3e920a9e326.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda.h>
#include <math.h>
#include <sys/time.h>
//-----------------------------------------------------------------------------
// GpuConstantsPackage: a struct to hold many constants (including pointers
// to allocated memory on the device) that ca... |
dce38eb4ac7f6f258e6031c6a45f59153ee32c9b.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/li... | dce38eb4ac7f6f258e6031c6a45f59153ee32c9b.cu | /*
* Copyright (c) 2021, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... |
fe5bf4e35233c2cd65d3b8b1b2f77e1a42407284.hip | // !!! This is a file automatically generated by hipify!!!
/**
* @copyright (c) 2012- King Abdullah University of Science and
* Technology (KAUST). All rights reserved.
**/
/**
* @file src/batch_triangular/Xtrtri_batch.cu
* KBLAS is a high performance CUDA library for subset of BLAS
* a... | fe5bf4e35233c2cd65d3b8b1b2f77e1a42407284.cu | /**
* @copyright (c) 2012- King Abdullah University of Science and
* Technology (KAUST). All rights reserved.
**/
/**
* @file src/batch_triangular/Xtrtri_batch.cu
* KBLAS is a high performance CUDA library for subset of BLAS
* and LAPACK routines optimized for NVIDIA GPUs.
* KBLAS is p... |
8a68a16ad5523a1dc6a018767d9af908523cd7d6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/****************************************************************************
*
****************************************************************************/
#include "hpc.h"
#include <stdio.h>
#include <stdlib.h>
#include <asser... | 8a68a16ad5523a1dc6a018767d9af908523cd7d6.cu | /****************************************************************************
*
****************************************************************************/
#include "hpc.h"
#include <stdio.h>
#include <stdlib.h>
#include <assert.h>
#include <math.h>
#define BLKDIM 32
typedef struct{
int h,w;
int connectivity;
... |
a95077b42a32b008114881f3306f84a077753ad2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int dims_update_halo_kernel1_r1 [7][1];
static int dims_update_halo_kernel1_r1_h [7][1] = {0};
//user function
__device__
inline void update_halo_kernel1_r1_gpu(ACC<double> &density0,... | a95077b42a32b008114881f3306f84a077753ad2.cu | //
// auto-generated by ops.py
//
__constant__ int dims_update_halo_kernel1_r1 [7][1];
static int dims_update_halo_kernel1_r1_h [7][1] = {0};
//user function
__device__
inline void update_halo_kernel1_r1_gpu(ACC<double> &density0,
ACC<double> &energy0,
ACC<double> &energy1,
ACC<double> &u,
ACC<double> &p,
A... |
979910ebba6188943588c23f048dfd96df06b857.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// nvcc -o -arch=sm_75 -lcublas -lcurand .cu
// : http://devblogs.nvidia.com/parallelforall
// wmma cublas
// wmma cublas .
//
// cublass tensorcore cuda tflops .
// wmma .
//
// cuda tensorCore .
#inclu... | 979910ebba6188943588c23f048dfd96df06b857.cu | // 컴파일 명령어 nvcc -o 결과파일명 -arch=sm_75 -lcublas -lcurand 코드파일.cu
// 파일 출처 : http://devblogs.nvidia.com/parallelforall
// wmma와 cublas를 동시에 실행하는 파일이며
// wmma로 계산한 결과 cublas로 계산한 결과를 비교한다.
//
// 이 코드를 cublass에서 tensorcore로 연산한 결과 cuda코어로 연산했으 경우 tflops를 계산한다.
// 기본적인 wmma 연산을 확인한다.
//
// 추가로 cuda 와 tensorCore에서 계산된 결과를 저장... |
4d3b03e8797fdbc084b6921527be36c01e4dfb29.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel2_xvel_minus_4_left;
int xdim0_update_halo_kernel2_xvel_minus_4_left_h = -1;
__constant__ int ydim0_update_halo_kernel2_xvel_minus_4_left;
int ydim0_update_h... | 4d3b03e8797fdbc084b6921527be36c01e4dfb29.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_update_halo_kernel2_xvel_minus_4_left;
int xdim0_update_halo_kernel2_xvel_minus_4_left_h = -1;
__constant__ int ydim0_update_halo_kernel2_xvel_minus_4_left;
int ydim0_update_halo_kernel2_xvel_minus_4_left_h = -1;
__constant__ int xdim1_update_halo_kernel2_xvel_mi... |
e6a836800c8fb4650b842e6788569f8bbb36dd3d.hip | // !!! This is a file automatically generated by hipify!!!
/***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in sour... | e6a836800c8fb4650b842e6788569f8bbb36dd3d.cu | /***************************************************************************************************
* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without
* modification, are p... |
f3b113192219559aec2104ac124db104a4bca00d.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 "_ele_scale.cu"
#include<chrono>
#include<iostream>
using namespa... | f3b113192219559aec2104ac124db104a4bca00d.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 "_ele_scale.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24... |
5546525d3f13ab8382ca813ce439db696aa248b6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2013 Yangqing Jia
#include <algorithm>
#include <limits>
#include "caffe/common.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/layer.hpp"
#include "caffe/syncedmem.hpp"
#include "caffe/vision_layers.hpp... | 5546525d3f13ab8382ca813ce439db696aa248b6.cu | // Copyright 2013 Yangqing Jia
#include <algorithm>
#include <limits>
#include "caffe/common.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/layer.hpp"
#include "caffe/syncedmem.hpp"
#include "caffe/vision_layers.hpp"
using std::max;
namespace caffe {
template <typename Dtype>
void DropoutLayer<Dtype... |
af7e9c851e9e2f68eeefdf79c4700fb21b7920a6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//=======================================================================
// Copyright (c) 2017 Baptiste Wicht
// Distributed under the terms of the MIT License.
// (See accompanying file LICENSE or copy at
// http://opensource.org... | af7e9c851e9e2f68eeefdf79c4700fb21b7920a6.cu | //=======================================================================
// Copyright (c) 2017 Baptiste Wicht
// Distributed under the terms of the MIT License.
// (See accompanying file LICENSE or copy at
// http://opensource.org/licenses/MIT)
//=======================================================================... |
f0228d6e9e3d227f2eb5cdca0aaf2b4702f2b43e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* 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 lic... | f0228d6e9e3d227f2eb5cdca0aaf2b4702f2b43e.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 ... |
1df3b969c0eaaf32a5b926112e218b7c121ea221.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define GROUP_SIZE 256
#define BUFFER_GROUPS 2
#define BUFFER_SIZE BUFFER_GROUPS*GROUP_SIZE
#define WARP_SIZE 32
#define INVALID 0xFFFF
/**
* Find a bounding box for the atoms in each block.
*/
extern "C" __global__ void findBloc... | 1df3b969c0eaaf32a5b926112e218b7c121ea221.cu | #define GROUP_SIZE 256
#define BUFFER_GROUPS 2
#define BUFFER_SIZE BUFFER_GROUPS*GROUP_SIZE
#define WARP_SIZE 32
#define INVALID 0xFFFF
/**
* Find a bounding box for the atoms in each block.
*/
extern "C" __global__ void findBlockBounds(int numAtoms, real4 periodicBoxSize, real4 invPeriodicBoxSize, const real4* __re... |
9a5d669c0ec2635ce8d26151cee05a27a8f44b19.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <sgm/sgm.cuh>
void sgm(DeviceImage<PIXEL_COST> &cost, DeviceImage<float> &depth)
{
int width = cost.width;
int height = cost.height;
DeviceImage<PIXEL_COST> sgm_cost(width, height);
sgm_cost.zero();
dim3 sgm_row_blo... | 9a5d669c0ec2635ce8d26151cee05a27a8f44b19.cu | #include <sgm/sgm.cuh>
void sgm(DeviceImage<PIXEL_COST> &cost, DeviceImage<float> &depth)
{
int width = cost.width;
int height = cost.height;
DeviceImage<PIXEL_COST> sgm_cost(width, height);
sgm_cost.zero();
dim3 sgm_row_block;
dim3 sgm_row_grid;
sgm_row_block.x = DEPTH_NUM;
sgm_row_grid.x = height;
dim3 s... |
002a36a13369d8f9d54b43b5a0334a1fd4c117ac.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
*... | 002a36a13369d8f9d54b43b5a0334a1fd4c117ac.cu | /* ******************************************************************************
*
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* See the NOTICE file distributed wit... |
184095c08c6fde88d22adf6dd094456181b2a0dd.hip | // !!! This is a file automatically generated by hipify!!!
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <hip/hip_runtime.h>
#include <helper_cuda.h>
#include "../../common/para.h"
// Num. of Channel
#define N_ch (TK_NUM * BT_NUM)
// Num. of sample
#define N_samp 8
#define N... | 184095c08c6fde88d22adf6dd094456181b2a0dd.cu | #include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <cuda_runtime.h>
#include <helper_cuda.h>
#include "../../common/para.h"
// Num. of Channel
#define N_ch (TK_NUM * BT_NUM)
// Num. of sample
#define N_samp 8
#define N_col 64
double my_timer()
{
struct timeval time;
double _ret_... |
5ae897c4dbfce85fcd67d08012d58db596d43e55.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include "topk_impl.h"
#include "core/providers/cuda/cu_inc/common.cuh"
#include "hipcub/hipcub.hpp"
#include <limits>
namespace onnxr... | 5ae897c4dbfce85fcd67d08012d58db596d43e55.cu | // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include "topk_impl.h"
#include "core/providers/cuda/cu_inc/common.cuh"
#include "cub/cub.cuh"
#include <limits>
namespace onnxruntime {
namespace cuda {
template <typename T>
__global__ void FillInput(const T* input_x, T... |
ac35f6da23858f450e9d2001090312ee16ed9ee9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hiprand/hiprand.h"
#include "rocblas.h"
extern "C" {
#include "activations.h"
#include "hip/hip_runtime.h"
}
__device__ float lhtan_activate_kernel(float x)
{
if(x < 0) return .001*x;
if(x > 1) return .001*(x-1)... | ac35f6da23858f450e9d2001090312ee16ed9ee9.cu | #include "cuda_runtime.h"
#include "curand.h"
#include "cublas_v2.h"
extern "C" {
#include "activations.h"
#include "cuda.h"
}
__device__ float lhtan_activate_kernel(float x)
{
if(x < 0) return .001*x;
if(x > 1) return .001*(x-1) + 1;
return x;
}
__device__ float lhtan_gradient_kernel(float x)
{
if(x... |
1ac17669188b1b58f5d615f3b256075d0631549d.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include "common.h"
#include "efficient.h"
#define blockSize 256
namespace StreamCompaction {
namespace Efficient {
using StreamCompaction::Common::PerformanceTimer;
PerformanceTime... | 1ac17669188b1b58f5d615f3b256075d0631549d.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include "common.h"
#include "efficient.h"
#define blockSize 256
namespace StreamCompaction {
namespace Efficient {
using StreamCompaction::Common::PerformanceTimer;
PerformanceTimer& timer()
{
static PerformanceTimer timer;
... |
467f888ee7d40a25f92c3fde60648e6fcf6b7c01.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@precisions normal z -> s d c
*/
#include "magma_inter... | 467f888ee7d40a25f92c3fde60648e6fcf6b7c01.cu | /*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@precisions normal z -> s d c
*/
#include "magma_internal.h"
#include "commonblas_z.h"
// 512 is maximum number of threads for CUDA capabilit... |
0970d474d098f8ea8cfcd7952cf07da1749d89e3.hip | // !!! This is a file automatically generated by hipify!!!
#include <ATen/native/sparse/hip/SparseHIPTensorMath.cuh>
#include <ATen/ATen.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/NativeFunctions.h>
#include <ATen/SparseTensorUtils.h>
#include <ATen/native/sparse/SparseTensorMath.h>
#include <ATen/native/spars... | 0970d474d098f8ea8cfcd7952cf07da1749d89e3.cu | #include <ATen/native/sparse/cuda/SparseCUDATensorMath.cuh>
#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/NativeFunctions.h>
#include <ATen/SparseTensorUtils.h>
#include <ATen/native/sparse/SparseTensorMath.h>
#include <ATen/native/sparse/cuda/SparseBlasLegacy.h>
#include <ATen/native/sparse... |
2c38c0ee60b957e9adbb2148c4203042ee71a9d2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <vector>
#include <cstdlib>
#include <cstdio>
#include <cassert>
#include <unistd.h>
#include <utils.h>
using std::vector;
__global__
void Initialize(int n, int* a, int* b) {
int i = blockIdx.x * b... | 2c38c0ee60b957e9adbb2148c4203042ee71a9d2.cu | #include <iostream>
#include <vector>
#include <cstdlib>
#include <cstdio>
#include <cassert>
#include <unistd.h>
#include <utils.h>
using std::vector;
__global__
void Initialize(int n, int* a, int* b) {
int i = blockIdx.x * blockDim.x + threadIdx.x;
int j = blockIdx.y * blockDim.y + threadIdx.y;
if(i < ... |
9ddcac8d7c5a18fb7b8088391ce977de37bf71ca.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include "gputimer.h"
#define NUM_THREADS 1000000
#define ARRAY_SIZE 100
#define BLOCK_WIDTH 1000
void print_array(int *array, int size)
{
printf("{ ");
for (int i = 0; i < size; i++) { printf("%d ", ... | 9ddcac8d7c5a18fb7b8088391ce977de37bf71ca.cu | #include <stdio.h>
#include "gputimer.h"
#define NUM_THREADS 1000000
#define ARRAY_SIZE 100
#define BLOCK_WIDTH 1000
void print_array(int *array, int size)
{
printf("{ ");
for (int i = 0; i < size; i++) { printf("%d ", array[i]); }
printf("}\n");
}
__global__ void increment_naive(int *g)
{
// which t... |
9d163b4fda758543cb5241a19f5182201f9a78d9.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 "ge_sigmoid.cu"
#include<chrono>
#include<iostream>
using namespa... | 9d163b4fda758543cb5241a19f5182201f9a78d9.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 "ge_sigmoid.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24... |
a29f4a939665193844ef699ed55a976d24d338a7.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 "precalculateABC.cu"
#include<chrono>
#include<iostream>
using na... | a29f4a939665193844ef699ed55a976d24d338a7.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 "precalculateABC.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{... |
a08c0f4708e1c9a3e45d497c8180cbad501e89c0.hip | // !!! This is a file automatically generated by hipify!!!
// Utilities and system includes
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime_api.h>
#define DATA_TYPE 1 // 0-SP, 1-INT, 2-DP
#define SIZE 60000000
#define TILE_DIM 1024
#define INNER_REPS 4
template <class T>... | a08c0f4708e1c9a3e45d497c8180cbad501e89c0.cu | // Utilities and system includes
#include <stdio.h>
#include <stdlib.h>
#include <cuda.h>
#include <cuda_profiler_api.h>
#define DATA_TYPE 1 // 0-SP, 1-INT, 2-DP
#define SIZE 60000000
#define TILE_DIM 1024
#define INNER_REPS 4
template <class T> __global__ void simpleKernel(T *A, T *C1, T *C2, T *C3, T *C4)
{
in... |
21adc2d7ee91ad3313f716f02a4c47ced30e22b9.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 "kRgb2XYZ.cu"
#include<chrono>
#include<iostream>
using namespace... | 21adc2d7ee91ad3313f716f02a4c47ced30e22b9.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 "kRgb2XYZ.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},... |
8a1c065a3d1aaba43b8e687c54ec44db5fc534b5.hip | // !!! This is a file automatically generated by hipify!!!
// ----------------------------------------------------------------------------
// Gunrock -- Fast and Efficient GPU Graph Library
// ----------------------------------------------------------------------------
// This source code is distributed under the terms... | 8a1c065a3d1aaba43b8e687c54ec44db5fc534b5.cu | // ----------------------------------------------------------------------------
// Gunrock -- Fast and Efficient GPU Graph Library
// ----------------------------------------------------------------------------
// This source code is distributed under the terms of LICENSE.TXT
// in the root directory of this source dis... |
91ef1ae57b75640eafa74da0ad19a2ccedaf95f0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <caffepro/layers/dropoutsame_layer.h>
#include <caffepro/proto/caffe.pb.h>
#include <caffepro/utils/utils.h>
#include <caffepro/math/cublas_wrapper.h>
#include <caffepro/math/cublas_debug.h>
namespace caffepro {
dropouts... | 91ef1ae57b75640eafa74da0ad19a2ccedaf95f0.cu |
#include <caffepro/layers/dropoutsame_layer.h>
#include <caffepro/proto/caffe.pb.h>
#include <caffepro/utils/utils.h>
#include <caffepro/math/cublas_wrapper.h>
#include <caffepro/math/cublas_debug.h>
namespace caffepro {
dropoutsame_layer::dropoutsame_layer(caffepro_context *context, const LayerParameter ¶m)
:... |
b735596fdb4921138ccacaf064f04cc495b75b88.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 "matrixMultKernel_global.cu"
#include<chrono>
#include<iostream>
... | b735596fdb4921138ccacaf064f04cc495b75b88.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 "matrixMultKernel_global.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{... |
0a0bed2dafa1f9d9460fc18fe03183182d28d677.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <gtest/gtest.h>
#include <thrust/device_vector.h>
#include <vector>
#include "nvstrings/NVStrings.h"
#include "./utils.h"
struct TestTimestamp : public GdfTest {
};
TEST_F(TestTimestamp, ToTimestamp)
{
{
std::vect... | 0a0bed2dafa1f9d9460fc18fe03183182d28d677.cu | #include <cuda_runtime.h>
#include <gtest/gtest.h>
#include <thrust/device_vector.h>
#include <vector>
#include "nvstrings/NVStrings.h"
#include "./utils.h"
struct TestTimestamp : public GdfTest {
};
TEST_F(TestTimestamp, ToTimestamp)
{
{
std::vector<const char*> hstrs{
"1974-02-28T01:23:45Z", "2019-07-... |
33c3f3d95eba3647c5eef38a581bcebdac941def.hip | // !!! This is a file automatically generated by hipify!!!
#include <THHUNN/THHUNN.h>
#include <THHUNN/common.h>
#include <THHUNN/row2col.h>
#include <TH/THHalf.h>
#include <THHUNN/THHHalfAutoNumerics.cuh>
#include <THH/THHTensor.hpp>
#include <THH/THHStorage.hpp>
#include <THHUNN/generic/TemporalRowConvolution.hip>
... | 33c3f3d95eba3647c5eef38a581bcebdac941def.cu | #include <THCUNN/THCUNN.h>
#include <THCUNN/common.h>
#include <THCUNN/row2col.h>
#include <TH/THHalf.h>
#include <THCUNN/THCHalfAutoNumerics.cuh>
#include <THC/THCTensor.hpp>
#include <THC/THCStorage.hpp>
#include <THCUNN/generic/TemporalRowConvolution.cu>
#include <THC/THCGenerateFloatTypes.h>
|
f3c8692cd1d5feca03d6afe0a6da68eebd7cb6ea.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <time.h>
#include "book.h"
void fillMatrix(int *, int);
void printMatrix(int *, int);
__global__ void matrixMult(int *a, int *b, int *c, int *n) {
int tid_i = threadIdx.x + blockIdx.x * blockDim.x;
for (int... | f3c8692cd1d5feca03d6afe0a6da68eebd7cb6ea.cu | #include <time.h>
#include "book.h"
void fillMatrix(int *, int);
void printMatrix(int *, int);
__global__ void matrixMult(int *a, int *b, int *c, int *n) {
int tid_i = threadIdx.x + blockIdx.x * blockDim.x;
for (int i = 0; i < *n; ++i){
c[(tid_i * (*n)) + i] = 0;
for(int j = 0; j < *n; ++j){
... |
1369244499ef0870c46b970ea10953e687ca44df.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void add(int *a, int *r, int *g, int *b, float *gc)
{
int i = (blockIdx.x*blockDim.x) + threadIdx.x;
gc[5120 * 6 + i * 6 ] = b[i] * 0.00390625;
//gc[5120 * 6 + i * 6 ] = float(b[i]) / 256;
gc... | 1369244499ef0870c46b970ea10953e687ca44df.cu | #include "includes.h"
__global__ void add(int *a, int *r, int *g, int *b, float *gc)
{
int i = (blockIdx.x*blockDim.x) + threadIdx.x;
gc[5120 * 6 + i * 6 ] = b[i] * 0.00390625;
//gc[5120 * 6 + i * 6 ] = float(b[i]) / 256;
gc[5120 * 6 + i * 6 + 1] = g[i] * 0.00390625;
//gc[5120 * 6 + i * 6 + 1] = float(g[i]) / 2... |
6e0011619fb0d5f38b080f2c5fded68f5f45ac7f.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 "cutil.h"
// #define DEBUG
// Only one of these should be enabled at a time. MKaech
//#define TM_SYNC
#define ATOMIC_SYNC
//... | 6e0011619fb0d5f38b080f2c5fded68f5f45ac7f.cu | // includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include "cutil.h"
// #define DEBUG
// Only one of these should be enabled at a time. MKaech
//#define TM_SYNC
#define ATOMIC_SYNC
//#define NO_SYNC
#define NUM_ACCOUNTS 1000000
#define NUM_TRANSACTIONS 122880
#define T... |
4b748be99ef7f3748307c7c1423152b3c552899d.hip | // !!! This is a file automatically generated by hipify!!!
#include "common.h"
#include <stdio.h>
#include <hip/hip_runtime.h>
/*
* A simple introduction to programming in CUDA. This program prints "Hello
* World from GPU! from 10 CUDA threads running on the GPU.
*/
__global__ void helloFromGPU()
{
printf("Hel... | 4b748be99ef7f3748307c7c1423152b3c552899d.cu | #include "common.h"
#include <stdio.h>
#include <cuda.h>
/*
* A simple introduction to programming in CUDA. This program prints "Hello
* World from GPU! from 10 CUDA threads running on the GPU.
*/
__global__ void helloFromGPU()
{
printf("Hello World from GPU!\n");
}
int main(int argc, char **argv)
{
print... |
1da863b3dc0e79465135b72fa08f326bb53eb935.hip | // !!! This is a file automatically generated by hipify!!!
#include <string>
#include <algorithm>
#include <math.h>
#include <stdio.h>
#include <vector>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <driver_functions.h>
#include "cudaRenderer.h"
#include "image.h"
#include "sceneLoader.h"
// Cos... | 1da863b3dc0e79465135b72fa08f326bb53eb935.cu | #include <string>
#include <algorithm>
#include <math.h>
#include <stdio.h>
#include <vector>
#include <cuda.h>
#include <cuda_runtime.h>
#include <driver_functions.h>
#include "cudaRenderer.h"
#include "image.h"
#include "sceneLoader.h"
// Costanti
#define ThrInBlock_X 32
#define ThrInBlock_Y 32
#define ThrInBlock... |
7fb0551d28a18d2a00282cf0512bbe2569f6755f.hip | // !!! This is a file automatically generated by hipify!!!
#define TORCH_ASSERT_NO_OPERATORS
#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/hip/Loops.cuh>
#include <ATen/native/hip/JitLoops.cuh>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/BinaryOps.h>
// NOTE: ... | 7fb0551d28a18d2a00282cf0512bbe2569f6755f.cu | #define TORCH_ASSERT_NO_OPERATORS
#include <ATen/Dispatch.h>
#include <ATen/native/DispatchStub.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/native/cuda/JitLoops.cuh>
#include <ATen/native/TensorIterator.h>
#include <ATen/native/BinaryOps.h>
// NOTE: CUDA on Windows requires that the enclosing function
// o... |
521bb76da49c608b39eacc7cc4d0dd7b7d9e3556.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 2020 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.
... | 521bb76da49c608b39eacc7cc4d0dd7b7d9e3556.cu | /*
* Copyright 2020 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 PROPR... |
71f08fbeca777350e497c0fbc27a8a2340d28951.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 2019 BlazingDB, Inc.
* Copyright 2019 Felipe Aramburu <felipe@blazingdb.com>
* Copyright 2018 Rommel Quintanilla <rommel@blazingdb.com>
* Copyright 2019 William Scott Malpica <william@blazingdb.com>
*
* Licensed under the Apache... | 71f08fbeca777350e497c0fbc27a8a2340d28951.cu | /*
* Copyright 2019 BlazingDB, Inc.
* Copyright 2019 Felipe Aramburu <felipe@blazingdb.com>
* Copyright 2018 Rommel Quintanilla <rommel@blazingdb.com>
* Copyright 2019 William Scott Malpica <william@blazingdb.com>
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use t... |
1fb335ef526af0ce2cb52dbda91364e87cf80fc5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <cmath>
#include <cassert>
void checkError (hipError_t err, int line) {
if (err == hipSuccess) return;
std::cout << "Error code " << err << " : " << hipGetErrorString(err) << " " << " on line " <... | 1fb335ef526af0ce2cb52dbda91364e87cf80fc5.cu | #include <iostream>
#include <cmath>
#include <cassert>
void checkError (cudaError_t err, int line) {
if (err == cudaSuccess) return;
std::cout << "Error code " << err << " : " << cudaGetErrorString(err) << " " << " on line " << line << ", aborting.\n";
assert(false);
}
#define CUDACALL(x) checkError(x, __L... |
f9df00453aa1748f712d1f78753e8fdeb6b0e9cb.hip | // !!! This is a file automatically generated by hipify!!!
/*!
* \file solver.cu
* \date 2018/10/12 15:51
*
* \author sireer
* Contact: sireerw@gmail.com
*
* \brief
*
* TODO: long description
*
* \note
*/
#pragma once
#include "Common.h"
#ifdef USE_ROCM
#include "MSFRUtil.cu"
#include "PclUtil.h"
#include <vector>
#in... | f9df00453aa1748f712d1f78753e8fdeb6b0e9cb.cu | /*!
* \file solver.cu
* \date 2018/10/12 15:51
*
* \author sireer
* Contact: sireerw@gmail.com
*
* \brief
*
* TODO: long description
*
* \note
*/
#pragma once
#include "Common.h"
#ifdef USE_CUDA
#include "MSFRUtil.cu"
#include "PclUtil.h"
#include <vector>
#include <iostream>
#include <cuda_runtime.h>
#include <device... |
d5a6e603d1b74a072d6b6e0d3f9fb89126427253.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include <hip/hip_runtime.h>
#include "binary_elementwise_ops_impl.h"
#include "core/providers/cuda/cu_inc/common.cuh"
#include "core/providers/cuda/cu_inc/binary_e... | d5a6e603d1b74a072d6b6e0d3f9fb89126427253.cu | // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
#include <cuda_runtime.h>
#include "binary_elementwise_ops_impl.h"
#include "core/providers/cuda/cu_inc/common.cuh"
#include "core/providers/cuda/cu_inc/binary_elementwise_impl.cuh"
namespace onnxruntime {
namespace cuda {... |
300f177da17935f062eeda2335077a389415f0c5.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 "copyp2p.cu"
#include<chrono>
#include<iostream>
using namespace ... | 300f177da17935f062eeda2335077a389415f0c5.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 "copyp2p.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{... |
e155b02e23edea0859617d745692f661752f1b9d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define TORCH_ASSERT_NO_OPERATORS
#include <ATen/native/hip/TensorModeKernel.cuh>
#include <ATen/native/hip/TensorModeKernel.h>
#include <ATen/Dispatch.h>
#include <ATen/native/NonEmptyUtils.h>
#include <ATen/native/TensorCompare.h>... | e155b02e23edea0859617d745692f661752f1b9d.cu | #define TORCH_ASSERT_NO_OPERATORS
#include <ATen/native/cuda/TensorModeKernel.cuh>
#include <ATen/native/cuda/TensorModeKernel.h>
#include <ATen/Dispatch.h>
#include <ATen/native/NonEmptyUtils.h>
#include <ATen/native/TensorCompare.h>
#include <ATen/cuda/detail/IndexUtils.cuh>
#include <ATen/cuda/ThrustAllocator.h>
#in... |
5158889e820f4c0bfabe98b00c7dab06317e133f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/native/TensorTransformations.h>
#include <ATen/hip/detail/IndexUtils.cuh>
#include <ATen/NativeFunctions.h>
#include <ATen/hip/HIPApplyUtils.cuh>
#include <ATen/hip/HIPContext.h>
#include <c10/macros/Macros.h>
#incl... | 5158889e820f4c0bfabe98b00c7dab06317e133f.cu | #include <ATen/native/TensorTransformations.h>
#include <ATen/cuda/detail/IndexUtils.cuh>
#include <ATen/NativeFunctions.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <ATen/cuda/CUDAContext.h>
#include <c10/macros/Macros.h>
#include <cstddef>
#include <vector>
namespace at {
namespace native {
constexpr uint3... |
3b0c9d87916b2aafd0ca399789837efc10218a98.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device.hpp"
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// Depth bilateral filter
namespace kfusion
{
namespace device
{
__global__ vo... | 3b0c9d87916b2aafd0ca399789837efc10218a98.cu | #include "device.hpp"
////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/// Depth bilateral filter
namespace kfusion
{
namespace device
{
__global__ void bilateral_kernel(const PtrStepSz<ushort> src, PtrStep<ushort> dst, const int ksz, con... |
84e520faf82d58d92ba48be1fe31984bf58e4b0d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
__global__ void helloFromGPU()
{
printf("Hello, World from GPU!\n");
}
void helloFromCPU()
{
printf("Hello, World from CPU!\n");
}
int main()
{
helloFromCPU();
hipLaunchKernelGGL(( helloFromGPU),... | 84e520faf82d58d92ba48be1fe31984bf58e4b0d.cu | #include <stdio.h>
__global__ void helloFromGPU()
{
printf("Hello, World from GPU!\n");
}
void helloFromCPU()
{
printf("Hello, World from CPU!\n");
}
int main()
{
helloFromCPU();
helloFromGPU<<<1,1>>>();
cudaDeviceSynchronize();
helloFromCPU();
} |
e977d61c47c84aa09bf48fd1c6a0d5c4b38cb709.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 "prepare_boundary_potential_on_device.cu"
#include<chrono>
#inclu... | e977d61c47c84aa09bf48fd1c6a0d5c4b38cb709.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 "prepare_boundary_potential_on_device.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][... |
d9c4c1bd7d8027fc9514ae9914738515e8735e20.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime_api.h>
#include <math.h>
#include "bnei_set.h"
using namespace std;
/**
* \file bnei_set.cu
* \brief Finds neighboring bins for each bin in the simulation
*
* Each bin i has bdimx*bdimy*bdimz ne... | d9c4c1bd7d8027fc9514ae9914738515e8735e20.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime_api.h>
#include <math.h>
#include "bnei_set.h"
using namespace std;
/**
* \file bnei_set.cu
* \brief Finds neighboring bins for each bin in the simulation
*
* Each bin i has bdimx*bdimy*bdimz neighboring bins. This function
* finds the index of all neighb... |
7838d38d1a6a21235b9cc5a37e50bdf085de3fec.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
% Function: generate_dmrs_pusch
% Description: Generates LTE demodulation reference signal for PUSCH
% Inputs: N_subfr - Subframe number within a radio frame
% N_id_cell - Phys... | 7838d38d1a6a21235b9cc5a37e50bdf085de3fec.cu | /*
% Function: generate_dmrs_pusch
% Description: Generates LTE demodulation reference signal for PUSCH
% Inputs: N_subfr - Subframe number within a radio frame
% N_id_cell - Physical layer cell identity
% delta_ss - Configurable portion ... |
95aed9dae242c0e36bd027cddedf02630dbceed1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Furthest point sampling GPU implementation
* Original author: Haoqiang Fan
* Modified by Charles R. Qi
* All Rights Reserved. 2017.
*/
__global__ void cumsumKernel(int b,int n,const float * __restrict__ inp,float * __restri... | 95aed9dae242c0e36bd027cddedf02630dbceed1.cu | /* Furthest point sampling GPU implementation
* Original author: Haoqiang Fan
* Modified by Charles R. Qi
* All Rights Reserved. 2017.
*/
__global__ void cumsumKernel(int b,int n,const float * __restrict__ inp,float * __restrict__ out){
const int BlockSize=2048;
const int paddingLevel=5;
__shared__ float bu... |
3c3249c1aa53076e8d560e56fbbd5f82e78df289.hip | // !!! This is a file automatically generated by hipify!!!
#include <cudaCompress/RunLength.h>
#include <cassert>
#include <string>
#include <hip/hip_runtime.h>
#include <cudaCompress/cudaUtil.h>
#include <cudaCompress/util.h>
#include <cudaCompress/InstanceImpl.h>
#include <cudaCompress/scan/scan_app.cui>
#incl... | 3c3249c1aa53076e8d560e56fbbd5f82e78df289.cu | #include <cudaCompress/RunLength.h>
#include <cassert>
#include <string>
#include <cuda_runtime.h>
#include <cudaCompress/cudaUtil.h>
#include <cudaCompress/util.h>
#include <cudaCompress/InstanceImpl.h>
#include <cudaCompress/scan/scan_app.cui>
#include "RunLengthKernels.cui"
namespace cudaCompress {
size_t... |
effa9f1144c83830718b1754cc4d19cda4418b84.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 "CuDeviceArrayCopyFromTexture.cu"
#include<chrono>
#include<iostr... | effa9f1144c83830718b1754cc4d19cda4418b84.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 "CuDeviceArrayCopyFromTexture.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8... |
92155eb4ba6f11b1ecac25a2a0e2639e53c0828e.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2009-2016 The Regents of the University of Michigan
// This file is part of the HOOMD-blue project, released under the BSD 3-Clause License.
#include "ComputeFreeVolumeGPU.cuh"
#include "IntegratorHPMCMonoGPU.cuh"
#include "IntegratorHPMCMonoI... | 92155eb4ba6f11b1ecac25a2a0e2639e53c0828e.cu | // Copyright (c) 2009-2016 The Regents of the University of Michigan
// This file is part of the HOOMD-blue project, released under the BSD 3-Clause License.
#include "ComputeFreeVolumeGPU.cuh"
#include "IntegratorHPMCMonoGPU.cuh"
#include "IntegratorHPMCMonoImplicitGPU.cuh"
#include "IntegratorHPMCMonoImplicitNewGPU.... |
1a84b9299a89c4d126c755ce323726bbdfd32bd5.hip | // !!! This is a file automatically generated by hipify!!!
/*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2008-2011 Ames Laboratory
Iowa State University and The Regents of the University of Michigan All rights
reserved.
HOOMD-blue may con... | 1a84b9299a89c4d126c755ce323726bbdfd32bd5.cu | /*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2008-2011 Ames Laboratory
Iowa State University and The Regents of the University of Michigan All rights
reserved.
HOOMD-blue may contain modifications ("Contributions") provided, and to which... |
557528c31f9de8e75395572ee6f43a4d1b0979ef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
* Copyright 2017-2020 by Contributors
*/
#include <thrust/copy.h>
#include <thrust/device_ptr.h>
#include <thrust/device_vector.h>
#include <thrust/fill.h>
#include <GPUTreeShap/gpu_treeshap.h>
#include <memory>
#include "xgb... | 557528c31f9de8e75395572ee6f43a4d1b0979ef.cu | /*!
* Copyright 2017-2020 by Contributors
*/
#include <thrust/copy.h>
#include <thrust/device_ptr.h>
#include <thrust/device_vector.h>
#include <thrust/fill.h>
#include <GPUTreeShap/gpu_treeshap.h>
#include <memory>
#include "xgboost/data.h"
#include "xgboost/predictor.h"
#include "xgboost/tree_model.h"
#include "xg... |
eea8da7b4db32029c105ad80fe5c248532f1d668.hip | // !!! This is a file automatically generated by hipify!!!
/*
Defines the basic matrix operations for the AIJ (compressed row)
matrix storage format using the CUSPARSE library,
*/
#define PETSC_SKIP_SPINLOCK
#define PETSC_SKIP_CXX_COMPLEX_FIX
#define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1
#include <petscconf.h>
#... | eea8da7b4db32029c105ad80fe5c248532f1d668.cu | /*
Defines the basic matrix operations for the AIJ (compressed row)
matrix storage format using the CUSPARSE library,
*/
#define PETSC_SKIP_SPINLOCK
#define PETSC_SKIP_CXX_COMPLEX_FIX
#define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1
#include <petscconf.h>
#include <../src/mat/impls/aij/seq/aij.h> /*I "pets... |
0914739afb0062e86ade8b73b68157d2e3180ba6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
__global__ void printNumber(int number)
{
printf("%d\n", number);
}
int main()
{
for (int i = 0; i < 5; ++i)
{
hipStream_t stream;
hipStreamCreate(&stream);
hipLaunchKernelGGL(( printNumber), di... | 0914739afb0062e86ade8b73b68157d2e3180ba6.cu | #include <stdio.h>
__global__ void printNumber(int number)
{
printf("%d\n", number);
}
int main()
{
for (int i = 0; i < 5; ++i)
{
cudaStream_t stream;
cudaStreamCreate(&stream);
printNumber<<<1, 1, 0, stream>>>(i);
cudaStreamDestroy(stream);
}
cudaDeviceSynchronize();
#if 0
cudaStream_t... |
7d26bb273e4244f7593db1175c3227b1121c4ee0.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2022-2023, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.o... | 7d26bb273e4244f7593db1175c3227b1121c4ee0.cu | /*
* Copyright (c) 2022-2023, 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... |
5b06547d03c16010c069697ee92c4dd999ec206d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__device__ unsigned int getGid3d3d(){
int blockId = blockIdx.x + blockIdx.y * gridDim.x
+ gridDim.x * gridDim.y * blockIdx.z;
int threadId = blockId * (blockDim.x * blockDim.y * blockDim.z)
+ (threadIdx.y * blo... | 5b06547d03c16010c069697ee92c4dd999ec206d.cu | #include "includes.h"
__device__ unsigned int getGid3d3d(){
int blockId = blockIdx.x + blockIdx.y * gridDim.x
+ gridDim.x * gridDim.y * blockIdx.z;
int threadId = blockId * (blockDim.x * blockDim.y * blockDim.z)
+ (threadIdx.y * blockDim.x)
+ (threadIdx.z * (blockDim.x * blockDim.y)) + threadIdx.x;
return threadId;
}
_... |
190c9ea1d7660acf1a01abd04f22d9182dad12d3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Perform the first step of Velocity Verlet integration.
*
* update displacements (posDelta) and velocities (velm)
*/
extern "C" __global__ void integrateVelocityVerletPart1(int numAtoms, int numPairs, int paddedNumAtoms, ... | 190c9ea1d7660acf1a01abd04f22d9182dad12d3.cu | /**
* Perform the first step of Velocity Verlet integration.
*
* update displacements (posDelta) and velocities (velm)
*/
extern "C" __global__ void integrateVelocityVerletPart1(int numAtoms, int numPairs, int paddedNumAtoms, const mixed2* __restrict__ dt, const real4* __restrict__ posq,
const real4* __re... |
2ea18d6d307e2edafdf9552f92f1310790630d22.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
////////////////////////////////////////////////////////////////////////////////
/*
Hologram generating algorithms for CUDA Devices
Copyright 2009, 2010, 2011, 2012 Martin Persson
martin.persson@physics.gu.se
... | 2ea18d6d307e2edafdf9552f92f1310790630d22.cu | #include "includes.h"
////////////////////////////////////////////////////////////////////////////////
/*
Hologram generating algorithms for CUDA Devices
Copyright 2009, 2010, 2011, 2012 Martin Persson
martin.persson@physics.gu.se
This file is part of GenerateHologramCUDA.
GenerateHologramCUDA is free software: you ... |
27a51ae136b4e2746880b250c723f93a5ec71993.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#define THREADS_MAX 512
template<typename index>
__device__ inline bool divide_loop(index &start, index &end) {
index num = (end - start + gridDim.x - 1) / gridDim.x;
start = start +... | 27a51ae136b4e2746880b250c723f93a5ec71993.cu | #include <stdio.h>
#include <cuda.h>
#include <cuda_runtime.h>
#define THREADS_MAX 512
template<typename index>
__device__ inline bool divide_loop(index &start, index &end) {
index num = (end - start + gridDim.x - 1) / gridDim.x;
start = start + num * blockIdx.x;
end = (start + num < end ? start + num : end);
num =... |
59a80468e2de37b91fc1cb9d40b389daacde41e9.hip | // !!! This is a file automatically generated by hipify!!!
#if !MEGDNN_TEGRA_X1
// generated by gen_cuda_conv_bias_kern_impls.py
// ignore warning of cutlass
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "src/cuda/conv_bias/in... | 59a80468e2de37b91fc1cb9d40b389daacde41e9.cu | #if !MEGDNN_TEGRA_X1
// generated by gen_cuda_conv_bias_kern_impls.py
// ignore warning of cutlass
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#pragma GCC diagnostic ignored "-Wstrict-aliasing"
#include "src/cuda/conv_bias/int8/conv_bias_int8_implicit_gemm_cutlass_wrapper.cuinl"
usi... |
430003c727be3558db7377a6f3edd04ced5d4125.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include "simple.h"
#include <string>
#include <stdio.h>
__device__ float GetElementCuda(Matrix2* mat, int row, int col)
{
if (row >= *mat->height || col >= *mat->width) return -999999999;
retu... | 430003c727be3558db7377a6f3edd04ced5d4125.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include "simple.h"
#include <string>
#include <stdio.h>
__device__ float GetElementCuda(Matrix2* mat, int row, int col)
{
if (row >= *mat->height || col >= *mat->width) return -999999999;
return mat->elements[row * (*mat->width) + col];
}
__global__ void Convol... |
bcea93112ca7bc181c5cd558c5a4439e10cacc4d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*... | bcea93112ca7bc181c5cd558c5a4439e10cacc4d.cu | /*
* Copyright (c) 2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law ... |
76703c91ff0e3097da2a87afdc966f2ee653cc79.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2009-2015 The Regents of
the University of Michigan All rights reserved.
HOOMD-blue may contain modifica... | 76703c91ff0e3097da2a87afdc966f2ee653cc79.cu | /*
Highly Optimized Object-oriented Many-particle Dynamics -- Blue Edition
(HOOMD-blue) Open Source Software License Copyright 2009-2015 The Regents of
the University of Michigan All rights reserved.
HOOMD-blue may contain modifications ("Contributions") provided, and to which
copyright is held, by various Contributor... |
4011aa7f524028850cf884af78d152f8e730dcde.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/margin_ranking_criterion_op.h"
namespace caffe2 {
namespace {
__global__ void MRCKernel(
const int N, const int* Y, const float* X1, const float* X2, const float... | 4011aa7f524028850cf884af78d152f8e730dcde.cu | #include "caffe2/core/context_gpu.h"
#include "caffe2/operators/margin_ranking_criterion_op.h"
namespace caffe2 {
namespace {
__global__ void MRCKernel(
const int N, const int* Y, const float* X1, const float* X2, const float margin,
float* output) {
CUDA_1D_KERNEL_LOOP(i, N) {
output[i] = fmaxf(0.f, -... |
be7cc02ee9de0b4f70bff904dd19c03dc4c7355b.hip | // !!! This is a file automatically generated by hipify!!!
#define M_PI 3.14159265358979323846
#include <cstdio>
#include <cstdlib>
#include <ctgmath>
#include <ctime>
//#include <complex>
// For the CUDA runtime routines (prefixed with "cuda_")
//#include <hip/hip_runtime.h>
#include <hiprand/hiprand_kernel.h>
#incl... | be7cc02ee9de0b4f70bff904dd19c03dc4c7355b.cu | #define M_PI 3.14159265358979323846
#include <cstdio>
#include <cstdlib>
#include <ctgmath>
#include <ctime>
//#include <complex>
// For the CUDA runtime routines (prefixed with "cuda_")
//#include <cuda.h>
#include <curand_kernel.h>
#include <curand.h>
#include <cuComplex.h>
//#include <cuda_runtime.h>
//#include <d... |
539160eefb50281e719628f9e2137d2d30c10785.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "SimpleMOC-kernel_header.h"
/* My parallelization scheme here is to basically have a single
* block be a geometrical segment, with each thread within the
* block represent a single energy phase. On the CPU, the
* inner ... | 539160eefb50281e719628f9e2137d2d30c10785.cu | #include "SimpleMOC-kernel_header.h"
/* My parallelization scheme here is to basically have a single
* block be a geometrical segment, with each thread within the
* block represent a single energy phase. On the CPU, the
* inner SIMD-ized loop is over energy (i.e, 100 energy groups).
* This should allow for each BL... |
4f05f907e587b39a373666873232e21af73cbd87.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... | 4f05f907e587b39a373666873232e21af73cbd87.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... |
dbc33f6bf048698b10cc91b56e997f328be62760.hip | // !!! This is a file automatically generated by hipify!!!
/*
* This CUDA-Cusparse code can handle/work with any type of the input mxArrays,
* GPUarray or standard matlab CPU array as input {prhs[0]/prhs[1] := mxGPUArray or CPU Array}[double/complex double]
* Sparse/Dense matrix-sparse/dense vector multiplication... | dbc33f6bf048698b10cc91b56e997f328be62760.cu |
/*
* This CUDA-Cusparse code can handle/work with any type of the input mxArrays,
* GPUarray or standard matlab CPU array as input {prhs[0]/prhs[1] := mxGPUArray or CPU Array}[double/complex double]
* Sparse/Dense matrix-sparse/dense vector multiplication Z=CuMatlab_solve(Sparse/Dense(A),Sparse/Dense(Y)).
* AZ... |
e203ba8348d8db71c7d3cb17da41e3194b149d18.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2018-2019, 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... | e203ba8348d8db71c7d3cb17da41e3194b149d18.cu | /*
* Copyright (c) 2018-2019, 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 required ... |
302dfa11cdda431fa8299bc068c49da0a767b3b8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2019 Yan Yan
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apac... | 302dfa11cdda431fa8299bc068c49da0a767b3b8.cu | // Copyright 2019 Yan Yan
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writ... |
7c446dca1da8c0801eb5c8818736e71cc471b9e8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <assert.h>
//#include <sys/time.h>
#include <time.h>
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <cmath>
#include <algorithm>
using std::cout;
using std::endl;
using std::cerr;
#define DECLINE_HORIZ... | 7c446dca1da8c0801eb5c8818736e71cc471b9e8.cu | #include <assert.h>
//#include <sys/time.h>
#include <time.h>
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <cmath>
#include <algorithm>
using std::cout;
using std::endl;
using std::cerr;
#define DECLINE_HORIZONTAL 0.1
#define DECLINE_VERTICAL 0.1
#define STEPS 1000 /... |
d7ee900fc20d74f1f515c8672097e43a49f3091b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void updF(float *f, float *z, float *g, float tf, float lambda, int nx, int ny)
{
int px = blockIdx.x * blockDim.x + threadIdx.x;
int py = blockIdx.y * blockDim.y + threadIdx.y;
int idx = px + py*nx;... | d7ee900fc20d74f1f515c8672097e43a49f3091b.cu | #include "includes.h"
__global__ void updF(float *f, float *z, float *g, float tf, float lambda, int nx, int ny)
{
int px = blockIdx.x * blockDim.x + threadIdx.x;
int py = blockIdx.y * blockDim.y + threadIdx.y;
int idx = px + py*nx;
float DIVZ;
if (px<nx && py<ny)
{
// compute the divergence
DIVZ = 0;
if ((px<(nx - 1)... |
39261be99632fc26bd89a9e3fc4396437f39e6b7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "../common.h"
#define RADIUS 4
__constant__ float coef[RADIUS + 1];
void setup_coef_constant(void) {
const float h_coef[] = {a0, a1, a2, a3, a4};
hipMemcpyToSymbol(coef, h_coef, (RADIUS + 1) * sizeof(float));
}
... | 39261be99632fc26bd89a9e3fc4396437f39e6b7.cu | #include "../common.h"
#define RADIUS 4
__constant__ float coef[RADIUS + 1];
void setup_coef_constant(void) {
const float h_coef[] = {a0, a1, a2, a3, a4};
cudaMemcpyToSymbol(coef, h_coef, (RADIUS + 1) * sizeof(float));
}
__global__ void stencil_1d(float *in, float *out) {
__shared__ float smem[BDIM + 2 ... |
c83c3c878cda2e695a914b7ba23f61e5c296cb54.hip | // !!! This is a file automatically generated by hipify!!!
// ######################################################
// ## :
// ## :
// ##
// ## log
// ######################################################
#include <stdio.h>
#include <hip/hip_runtime_api.h>
#include <device_launch_parameters... | c83c3c878cda2e695a914b7ba23f61e5c296cb54.cu | // ######################################################
// ## 姓名: 刘羽丰
// ## 文件说明: 第六版，与第五版不同的是这版在输入数组上使用
// ## 二维纹理内存，利用高维空间局部性加快运算，
// ## log数组使用常量内存存储。
// ######################################################
#include <stdio.h>
#include <cuda_runtime_api.h>
#include <device_launch_parameter... |
4cdd5b84ccc14c0dbe5ca37bc738bf0b17568a43.hip | // !!! This is a file automatically generated by hipify!!!
#include "memoryWrapper.cuh"
#include <cassert>
void hipMemcpy(Memory const& dest, Memory const& src) {
assert(dest.bytes >= src.bytes);
hipMemcpyKind kind = hipMemcpyDefault;
if (dest.kind == memKind::device) {
if (src.kind == memKind::... | 4cdd5b84ccc14c0dbe5ca37bc738bf0b17568a43.cu | #include "memoryWrapper.cuh"
#include <cassert>
void cudaMemcpy(Memory const& dest, Memory const& src) {
assert(dest.bytes >= src.bytes);
cudaMemcpyKind kind = cudaMemcpyDefault;
if (dest.kind == memKind::device) {
if (src.kind == memKind::device)
kind = cudaMemcpyDeviceToDevice;
... |
ebb7fdf9c5387ca4ee00bc37ae07840cce07f7e3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<stdio.h>
#include<stdlib.h>
__global__ void print_from_gpu(void) {
printf("Hello World! from thread [%d,%d] \
From device\n", threadIdx.x,blockIdx.x);
}
int main(void) {
printf("Hello World from host!\n");
hipLaun... | ebb7fdf9c5387ca4ee00bc37ae07840cce07f7e3.cu | #include<stdio.h>
#include<stdlib.h>
__global__ void print_from_gpu(void) {
printf("Hello World! from thread [%d,%d] \
From device\n", threadIdx.x,blockIdx.x);
}
int main(void) {
printf("Hello World from host!\n");
print_from_gpu<<<1,1>>>();
cudaDeviceSynchronize();
return 0;
}
|
16842e0afe12751921c602236f5ab008ccf80e2a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@precisions normal z -> s d c
@author Stan Tomo... | 16842e0afe12751921c602236f5ab008ccf80e2a.cu | /*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@precisions normal z -> s d c
@author Stan Tomov
*/
#include "common_magmasparse.h"
#define NB 64
/* ================================... |
5d3f7a48e7ab3c97b7b513ab2e5a765906d981d5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "reference_calc.cpp"
#include "utils.h"
static inst const threadLimit = 512;
// Adapted from udacity code snippets
__global__ void find_optimum(float * d_out, float * d_in, bool isMinimum, int numEntries)
{
int myId =... | 5d3f7a48e7ab3c97b7b513ab2e5a765906d981d5.cu | #include "reference_calc.cpp"
#include "utils.h"
static inst const threadLimit = 512;
// Adapted from udacity code snippets
__global__ void find_optimum(float * d_out, float * d_in, bool isMinimum, int numEntries)
{
int myId = threadIdx.x + blockDim.x * blockIdx.x;
if (myId >= numEntries) {
return;
}
... |
826cabcbb3ec66fe120ff63579922be230b8f985.hip | // !!! This is a file automatically generated by hipify!!!
// C++ headers
#include <algorithm>
#include <numeric>
// CUDA runtime
#include <hip/hip_runtime.h>
// CMSSW headers
#include "CUDACore/cudaCheck.h"
#include "CUDACore/device_unique_ptr.h"
#include "plugin-SiPixelClusterizer/SiPixelRawToClusterGPUKernel.h" /... | 826cabcbb3ec66fe120ff63579922be230b8f985.cu | // C++ headers
#include <algorithm>
#include <numeric>
// CUDA runtime
#include <cuda_runtime.h>
// CMSSW headers
#include "CUDACore/cudaCheck.h"
#include "CUDACore/device_unique_ptr.h"
#include "plugin-SiPixelClusterizer/SiPixelRawToClusterGPUKernel.h" // !
#include "plugin-SiPixelClusterizer/gpuClusteringConstants... |
a0211e2e003d56b4bdbf1b40727aa12c17eeaa8a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "LayerCalculation.cuh"
//Checks if an Error has occured
int CheckCudaError(hipError_t err) {
if (err != hipSuccess) {
return 1;
}
return 0;
}
int LayerCalculation::offsetCalculation(int *arraySizes, int* poolingLaye... | a0211e2e003d56b4bdbf1b40727aa12c17eeaa8a.cu | #include "LayerCalculation.cuh"
//Checks if an Error has occured
int CheckCudaError(cudaError_t err) {
if (err != cudaSuccess) {
return 1;
}
return 0;
}
int LayerCalculation::offsetCalculation(int *arraySizes, int* poolingLayers, int batchCount, int layerNum, int Layers) {
if (batchDim == 0) {
for (int i = 0... |
0df61c25461e4313aaacb19ed9e1d981263507b2.hip | // !!! This is a file automatically generated by hipify!!!
/*
* 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.o... | 0df61c25461e4313aaacb19ed9e1d981263507b2.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... |
bdfa978f8e72d08097f286e1724de59e499044cb.hip | // !!! This is a file automatically generated by hipify!!!
void cuda_query(const int dev){
int deviceCount;
hipGetDeviceCount(&deviceCount);
if(deviceCount == 0){
printf("\n deviceCount is zero. I quit!!!");
exit(EXIT_FAILURE);
}
//const int dev = (deviceCount == 1) ? 0 : 3;
hipSetDevice(dev);
/*hipDevic... | bdfa978f8e72d08097f286e1724de59e499044cb.cu |
void cuda_query(const int dev){
int deviceCount;
cudaGetDeviceCount(&deviceCount);
if(deviceCount == 0){
printf("\n deviceCount is zero. I quit!!!");
exit(EXIT_FAILURE);
}
//const int dev = (deviceCount == 1) ? 0 : 3;
cudaSetDevice(dev);
/*cudaDeviceProp devProp;
HANDLE_ERROR(cudaGetDeviceProperties(&d... |
a83102c99592c43a75c8ee288e098bcbcbd75618.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 "add.hip"
#include<chrono>
#include<iostream>
using namespace std... | a83102c99592c43a75c8ee288e098bcbcbd75618.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 "add.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{32,3... |
69f6f3272ecf244c46e3de50321f92a1c3cbe812.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/operators/utility_ops.h"
#include <thrust/device_vector.h>
#include <thrust/sequence.h>
#include <thrust/sort.h>
#include <thrust/system/hip/execution_policy.h>
#include <thrust/unique.h>
#include "caffe2/core/con... | 69f6f3272ecf244c46e3de50321f92a1c3cbe812.cu | #include "caffe2/operators/utility_ops.h"
#include <thrust/device_vector.h>
#include <thrust/sequence.h>
#include <thrust/sort.h>
#include <thrust/system/cuda/execution_policy.h>
#include <thrust/unique.h>
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/flatten_op.h"
#include "caffe2/utils/math.h"
na... |
aba22e0d9c0ad6af93f41591a49d6a26c374a37e.hip | // !!! This is a file automatically generated by hipify!!!
#include "edge.cuh"
#include <hip/hip_runtime.h>
#include "../C/node.h"
#include "../C/kvec.h"
node_t* node_init_gpu(int _id){
node_t* e;
hipMallocManaged(&e, sizeof(node_t));
e->attr = ht_create(16);
//Add sample to hashtable
ht_set(e->attr, "", "");
kv_... | aba22e0d9c0ad6af93f41591a49d6a26c374a37e.cu | #include "edge.cuh"
#include <cuda.h>
#include "../C/node.h"
#include "../C/kvec.h"
node_t* node_init_gpu(int _id){
node_t* e;
cudaMallocManaged(&e, sizeof(node_t));
e->attr = ht_create(16);
//Add sample to hashtable
ht_set(e->attr, "", "");
kv_init(e->edges);
e->id = _id;
return e;
}
|
8168c86d8914ce19d9b3c9f697a373b025cec88b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/********************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
... | 8168c86d8914ce19d9b3c9f697a373b025cec88b.cu | /********************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
******************************************************************************/
__cons... |
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