hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
84ea5b3687d512db85d7263a5a55756fce686cb5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdiocu.h>
#include <crtdefscu.h>
#include <ext\memfile.h>
#include <assert.h>
static __global__ void g_ext_memfile_test1() {
printf("ext_memfile_test1\n");
}
hipError_t ext_memfile_test1() {hipLaunchKernelGGL(( g_ext_me... | 84ea5b3687d512db85d7263a5a55756fce686cb5.cu | #include <stdiocu.h>
#include <crtdefscu.h>
#include <ext\memfile.h>
#include <assert.h>
static __global__ void g_ext_memfile_test1() {
printf("ext_memfile_test1\n");
}
cudaError_t ext_memfile_test1() { g_ext_memfile_test1<<<1, 1>>>(); return cudaDeviceSynchronize(); }
|
60df6f02030fedd82bc95bc4982bbc5e297f4ed7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdlib.h>
#include <assert.h>
#include <iostream>
#include <random>
#include "../nn_utils/nn_exception.hh"
#include "../nn_utils/shape.hh"
#include "linear_softmax.hh"
#define BLOCK_DIM 16
// This kernel is optimized... | 60df6f02030fedd82bc95bc4982bbc5e297f4ed7.cu | #include <stdlib.h>
#include <assert.h>
#include <iostream>
#include <random>
#include "../nn_utils/nn_exception.hh"
#include "../nn_utils/shape.hh"
#include "linear_softmax.hh"
#define BLOCK_DIM 16
// This kernel is optimized to ensure all global reads and writes are coalesced,
// and to avoid bank conflicts in ... |
4c284d104ca5d1f839ddb4826046ef4316f3bf45.hip | // !!! This is a file automatically generated by hipify!!!
// includes, system
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// includes, project
#include <hip/hip_runtime.h>
#include <hipfft.h>
#include <hipfftXt.h>
#include <helper_cuda.h>
#include <helper_functions.h>
// Complex data... | 4c284d104ca5d1f839ddb4826046ef4316f3bf45.cu | // includes, system
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// includes, project
#include <cuda_runtime.h>
#include <cufft.h>
#include <cufftXt.h>
#include <helper_cuda.h>
#include <helper_functions.h>
// Complex data type
typedef float2 Complex;
static __device__ __host__ inline ... |
796bbdf45d349fce8c9d71434850a76d511d2ae1.hip | // !!! This is a file automatically generated by hipify!!!
#include <ATen/native/TensorIterator.h>
#include <ATen/native/ReduceOps.h>
#include <ATen/native/Resize.h>
#include <ATen/native/hip/Loops.cuh>
#include <ATen/native/hip/Reduce.cuh>
#include <ATen/native/hip/Normalization.cuh>
#include <c10/hip/HIPMathCompat.h>... | 796bbdf45d349fce8c9d71434850a76d511d2ae1.cu | #include <ATen/native/TensorIterator.h>
#include <ATen/native/ReduceOps.h>
#include <ATen/native/Resize.h>
#include <ATen/native/cuda/Loops.cuh>
#include <ATen/native/cuda/Reduce.cuh>
#include <ATen/native/cuda/Normalization.cuh>
#include <c10/cuda/CUDAMathCompat.h>
namespace at { namespace native {
namespace {
inli... |
de401239e63ef1fcdf83e732c4dee8d34fa138e1.hip | // !!! This is a file automatically generated by hipify!!!
// CIS565 CUDA Raytracer: A parallel raytracer for Patrick Cozzi's CIS565: GPU Computing at the University of Pennsylvania
// Written by Yining Karl Li, Copyright (c) 2012 University of Pennsylvania
// This file includes code from:
// Rob Farber for CUDA-... | de401239e63ef1fcdf83e732c4dee8d34fa138e1.cu | // CIS565 CUDA Raytracer: A parallel raytracer for Patrick Cozzi's CIS565: GPU Computing at the University of Pennsylvania
// Written by Yining Karl Li, Copyright (c) 2012 University of Pennsylvania
// This file includes code from:
// Rob Farber for CUDA-GL interop, from CUDA Supercomputing For The Masses: http:/... |
58111d66fd137a9f9dd26a7ecf436aee2d5ae564.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/******************************************************************************
* Copyright 2019 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this... | 58111d66fd137a9f9dd26a7ecf436aee2d5ae564.cu | /******************************************************************************
* Copyright 2019 The Apollo Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
... |
0aac155a298455eb45d84c25ca233a7fc15c8aea.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "GPUUtils.hpp"
// Huge props to wykvictor for this solution https://github.com/opencv/opencv/issues/6295#issuecomment-246647886
__global__ void inRangeCudaKernel(const cv::cuda::PtrStepSz<uchar3> src, cv::cuda::PtrStepSz... | 0aac155a298455eb45d84c25ca233a7fc15c8aea.cu |
#include "GPUUtils.hpp"
// Huge props to wykvictor for this solution https://github.com/opencv/opencv/issues/6295#issuecomment-246647886
__global__ void inRangeCudaKernel(const cv::cuda::PtrStepSz<uchar3> src, cv::cuda::PtrStepSzb dst, int lbc0, int ubc0, int lbc1, int ubc1, int lbc2, int ubc2) {
int x = blockIdx.x... |
664a806d90cd315567d022be4cfc620c3a7d4fa1.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <iostream>
#include <hip/hip_runtime.h>
// kernels are C++ functions defined with CUDA
// They will be called with << >>()
// hipGetDeviceCount (int* count)
// Returns the number of compute-capable devices
// hipGetDevicePropert... | 664a806d90cd315567d022be4cfc620c3a7d4fa1.cu | #include <stdio.h>
#include <iostream>
#include <cuda_runtime.h>
// kernels are C++ functions defined with CUDA
// They will be called with << >>()
// cudaGetDeviceCount (int* count)
// Returns the number of compute-capable devices
// cudaGetDeviceProperties (cudaDeviceProp* prop, int device)
// Returns informati... |
e473a1432a319b557670ff9420c4610b3547f604.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright 2017 Stanford, NVIDIA
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http:/... | e473a1432a319b557670ff9420c4610b3547f604.cu | /* Copyright 2017 Stanford, NVIDIA
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed t... |
a4aa0de0a6ccd19e2064fe384a5b2b298b6e5885.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// source: http://www.cl.cam.ac.uk/research/rainbow/projects/dcbgrid/DCBGrid-preprint.pdf
#include "GpuImage.h"
#include "helper_cuda.h"
#include "AmCudaHelper.cuh"
#include <iostream>
void GpuImage::Create( GpuImageType type, int... | a4aa0de0a6ccd19e2064fe384a5b2b298b6e5885.cu | // source: http://www.cl.cam.ac.uk/research/rainbow/projects/dcbgrid/DCBGrid-preprint.pdf
#include "GpuImage.h"
#include "helper_cuda.h"
#include "AmCudaHelper.cuh"
#include <iostream>
void GpuImage::Create( GpuImageType type, int width, int height )
{
if ( type != imageType || width != w || height != h )
{
... |
08db76dc964acf6c946aa9e52f496ad38081c6e1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef USE_OPENCV
#include <math.h>
#include <math_constants.h>
#include <opencv2/core/core.hpp>
#include <vector>
#include "caffe/layers/detectnet_transform_layer.hpp"
#include "caffe/util/detectnet_coverage.hpp"
#include "caffe... | 08db76dc964acf6c946aa9e52f496ad38081c6e1.cu | #ifdef USE_OPENCV
#include <math.h>
#include <math_constants.h>
#include <opencv2/core/core.hpp>
#include <vector>
#include "caffe/layers/detectnet_transform_layer.hpp"
#include "caffe/util/detectnet_coverage.hpp"
#include "caffe/util/gpu_memory.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
// Ca... |
073d5f50c9be7f739977b906dc8e0f00636067eb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include "hd_block_size.h"
#define TODEV(A,s) float *A##_d;hipMalloc((void**)&A##_d,((s))*sizeof(float));hipMemcpy(A##_d,A,(s)*sizeof(float),hipMemcpyHostToDevice);
#define FROMDEV(A,s) hipMemcpy(A,A##_d,(s)*size... | 073d5f50c9be7f739977b906dc8e0f00636067eb.cu | #include <stdio.h>
#include "hd_block_size.h"
#define TODEV(A,s) float *A##_d;cudaMalloc((void**)&A##_d,((s))*sizeof(float));cudaMemcpy(A##_d,A,(s)*sizeof(float),cudaMemcpyHostToDevice);
#define FROMDEV(A,s) cudaMemcpy(A,A##_d,(s)*sizeof(float),cudaMemcpyDeviceToHost);
#define CLNUP(A) cudaFree(A##_d)
#define TODEV3(... |
fe8c7908b9cd7eef487998e29491f7cb4788086a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Copyright 2022 The Microsoft DeepSpeed Team
*/
#include "dequantization_utils.h"
#include "memory_access_utils.h"
namespace cg = cooperative_groups;
template <typename T, int numBits, dequantize::Type qType, int unroll, int th... | fe8c7908b9cd7eef487998e29491f7cb4788086a.cu | /*
Copyright 2022 The Microsoft DeepSpeed Team
*/
#include "dequantization_utils.h"
#include "memory_access_utils.h"
namespace cg = cooperative_groups;
template <typename T, int numBits, dequantize::Type qType, int unroll, int threads>
__global__ void dequantize_kernel(T* __restrict__ dequant_data,
... |
c258f058e917497c2f0493b9bf70047bac7b649d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "testMultiGPU_Jacobi2D_Decom.cuh"
#include <iostream>
#include <chrono>
#include <memory>
#include <vector>
#include <fstream>
using namespace std;
using namespace std::chrono;
#define... | c258f058e917497c2f0493b9bf70047bac7b649d.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "testMultiGPU_Jacobi2D_Decom.cuh"
#include <iostream>
#include <chrono>
#include <memory>
#include <vector>
#include <fstream>
using namespace std;
using namespace std::chrono;
#define IMUL(a,b) __mul24(a,b)
//cudaError_t performMultiGPUJacobi(... |
ff72425b759500648faa4ac6daa37e28e322cc45.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <string>
#include <iostream>
#include <thread>
#include <atomic>
#include <vector>
#include <mutex>
#include <chrono>
using namespace std;
atomic<int> epoch;
atomic<int> count;
int num_threads;
int duration;
static int TO... | ff72425b759500648faa4ac6daa37e28e322cc45.cu | #include <string>
#include <iostream>
#include <thread>
#include <atomic>
#include <vector>
#include <mutex>
#include <chrono>
using namespace std;
atomic<int> epoch;
atomic<int> count;
int num_threads;
int duration;
static int TOTAL_ITERATIONS_THREAD = 100;
static int TOTAL_ITERATIONS_PROGRAM = 100;
mutex thread_mut... |
4ad786472792faaf13a3019778c8044a5297485e.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHUNN.h"
#include "common.h"
#include "im2col.h"
void THNN_CudaSpatialDilatedConvolution_updateOutput(THCState *state,
THCudaTensor *input, THCudaTensor *output, THCudaTensor *weight,
THCudaTensor *bias, THCudaTensor *column... | 4ad786472792faaf13a3019778c8044a5297485e.cu | #include "THCUNN.h"
#include "common.h"
#include "im2col.h"
void THNN_CudaSpatialDilatedConvolution_updateOutput(THCState *state,
THCudaTensor *input, THCudaTensor *output, THCudaTensor *weight,
THCudaTensor *bias, THCudaTensor *columns,
THCudaTensor *ones, int kW, int kH, int dW, ... |
b3992b851fcd23923c874c724382106c4bcb6754.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <cstdlib>
__global__ void conv_batchnorm_fusion_kernel(float *output, float *input, float *weight, float *bias,
int batch, int in_channel, int out_channel, int heig... | b3992b851fcd23923c874c724382106c4bcb6754.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <cstdlib>
__global__ void conv_batchnorm_fusion_kernel(float *output, float *input, float *weight, float *bias,
int batch, int in_channel, int out_channel, int height, int width,
int kernel_height, int kernel_width, int pad_h... |
123b01baa5d066e0cd292609e2202e9b29cdf067.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <bits/stdc++.h>
#define milliseconds 1e3
using namespace std;
typedef struct _Node_info{
u_short parent_index;
u_int potential_flow;
} Node_info;
void readInput(const char* filename, u_int total_nodes, u_short* residua... | 123b01baa5d066e0cd292609e2202e9b29cdf067.cu | #include <bits/stdc++.h>
#define milliseconds 1e3
using namespace std;
typedef struct _Node_info{
u_short parent_index;
u_int potential_flow;
} Node_info;
void readInput(const char* filename, u_int total_nodes, u_short* residual_capacity) {
ifstream file;
file.open(filename);
if (!file) {
cout << "Er... |
277d3b0a84598fc3b791a76644f0822778682fe6.hip | // !!! This is a file automatically generated by hipify!!!
#include "common/book.h"
#include <hip/hip_runtime.h>
#include <cuda_device_runtime_api.h>
#include <hip/hip_runtime.h>
#include <stdio.h>
#define N 10
__global__ void add(int *a, int *b, int *c) {
int tid = threadIdx.x + blockIdx.x * blockDim.x;
while ... | 277d3b0a84598fc3b791a76644f0822778682fe6.cu | #include "common/book.h"
#include <cuda.h>
#include <cuda_device_runtime_api.h>
#include <cuda_runtime.h>
#include <stdio.h>
#define N 10
__global__ void add(int *a, int *b, int *c) {
int tid = threadIdx.x + blockIdx.x * blockDim.x;
while (tid < N) {
c[tid] = a[tid] + b[tid];
tid += blockDim.x * gridDim... |
b709bde563e0ccdac0b07d99c7c82843dcb0235d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
@generated s Tue Aug 13 16:45:08 2013
*/
#include "common_magm... | b709bde563e0ccdac0b07d99c7c82843dcb0235d.cu | /*
-- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
@generated s Tue Aug 13 16:45:08 2013
*/
#include "common_magma.h"
/* ////////////////////////////////////////////////////////////////////////////
... |
e0f956ab8ced332bd15fcc2f3d5f7af90975b2e5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <assert.h>
#include <hipcub/hipcub.hpp>
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/operator_fallback_gpu.h"
#include "cross_entropy_wsl_op.h"
namespace caffe2 {
namespace {
__global__ void LabelBalan... | e0f956ab8ced332bd15fcc2f3d5f7af90975b2e5.cu | #include <assert.h>
#include <cub/block/block_reduce.cuh>
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/operator_fallback_gpu.h"
#include "cross_entropy_wsl_op.h"
namespace caffe2 {
namespace {
__global__ void LabelBalanceWSLKernel(const int outer_size,
const i... |
peer2peerMemcpy.hip | // !!! This is a file automatically generated by hipify!!!
/*
*
* peer2peerMemcpy.cu
*
* Microbenchmark of peer-to-peer memcpy using portable pinned memory.
* The CUDA driver implements a similar strategy for GPUs that
* cannot perform peer-to-peer directly, e.g. because they are plugged
* into different I/O hub... | peer2peerMemcpy.cu | /*
*
* peer2peerMemcpy.cu
*
* Microbenchmark of peer-to-peer memcpy using portable pinned memory.
* The CUDA driver implements a similar strategy for GPUs that
* cannot perform peer-to-peer directly, e.g. because they are plugged
* into different I/O hubs.
*
* Build with: nvcc -I ../chLib <options> peer2peerMe... |
c80331d1b383bf814c0c1a0cfe6dcf7f817a29f0.hip | // !!! This is a file automatically generated by hipify!!!
#include <torch/extension.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <vector>
namespace {
template <typename scalar_t>
__global__ void cross_prod_cuda_forward_kernel(
const torch::PackedTensorAccessor<scalar_t,3,torch::Restric... | c80331d1b383bf814c0c1a0cfe6dcf7f817a29f0.cu | #include <torch/extension.h>
#include <cuda.h>
#include <cuda_runtime.h>
#include <vector>
namespace {
template <typename scalar_t>
__global__ void cross_prod_cuda_forward_kernel(
const torch::PackedTensorAccessor<scalar_t,3,torch::RestrictPtrTraits,size_t> x1,
const torch::PackedTensorAccessor<scalar_t,3,t... |
ceb6e451d18202ea4fe4afa5e8050bdd9ed18c7c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Author: ddlee, me@ddlee.cn
* modified from MXNet's MultiboxTarget Operator
*/
#include "./assign_anchor-inl.h"
#include <mshadow/cuda/tensor_gpu-inl.cuh>
#define ASSIGN_ANCHOR_CUDA_CHECK(condition) \
/* Code block avoids ... | ceb6e451d18202ea4fe4afa5e8050bdd9ed18c7c.cu | /*
* Author: ddlee, me@ddlee.cn
* modified from MXNet's MultiboxTarget Operator
*/
#include "./assign_anchor-inl.h"
#include <mshadow/cuda/tensor_gpu-inl.cuh>
#define ASSIGN_ANCHOR_CUDA_CHECK(condition) \
/* Code block avoids redefinition of cudaError_t error */ \
do { \
cudaError_t error = condition; \
... |
642dacb05f3e51b7242d2ae2e59c34d4af788fba.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
extern "C"
extern "C"
extern "C"
extern "C"
extern "C"
extern "C"
//=== Vector arithmetic ======================================================
extern "C"
extern "C"
exte... | 642dacb05f3e51b7242d2ae2e59c34d4af788fba.cu | #include "includes.h"
extern "C"
extern "C"
extern "C"
extern "C"
extern "C"
extern "C"
//=== Vector arithmetic ======================================================
extern "C"
extern "C"
extern "C"
extern "C"
extern "C"
extern "C"
//=== Vector-and-scalar arithmetic ==... |
22add1c034167ce02b6437d3b398c8a839221a00.hip | // !!! This is a file automatically generated by hipify!!!
#include "stdio.h"
#include "CudaMatrixKernels.hh"
#include <math_constants.h>
#include <hip/hip_runtime.h>
#include <limits>
#ifdef __CDT_PARSER__
#define __global__
#define __device__
#define __host__
#define __shared__
#endif
#define THREADS_PER_BLOCK 1024... | 22add1c034167ce02b6437d3b398c8a839221a00.cu | #include "stdio.h"
#include "CudaMatrixKernels.hh"
#include <math_constants.h>
#include <cuda_runtime.h>
#include <limits>
#ifdef __CDT_PARSER__
#define __global__
#define __device__
#define __host__
#define __shared__
#endif
#define THREADS_PER_BLOCK 1024
/***********************************************************... |
80ed54063da4bcbb4cfd410ed2c5e35765da59a9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
... | 80ed54063da4bcbb4cfd410ed2c5e35765da59a9.cu | /*
* Copyright (c) 2019-2020, NVIDIA CORPORATION.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable... |
ce74c56e053cda13e2cfc483a3cb4bdc5e626910.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// pbrt is Copyright(c) 1998-2020 Matt Pharr, Wenzel Jakob, and Greg Humphreys.
// The pbrt source code is licensed under the Apache License, Version 2.0.
// SPDX: Apache-2.0
#include <pbrt/pbrt.h>
#include <pbrt/gpu/accel.h>
#inc... | ce74c56e053cda13e2cfc483a3cb4bdc5e626910.cu | // pbrt is Copyright(c) 1998-2020 Matt Pharr, Wenzel Jakob, and Greg Humphreys.
// The pbrt source code is licensed under the Apache License, Version 2.0.
// SPDX: Apache-2.0
#include <pbrt/pbrt.h>
#include <pbrt/gpu/accel.h>
#include <pbrt/gpu/optix.h>
#include <pbrt/interaction.h>
#include <pbrt/materials.h>
#inclu... |
ba146d52001dbc9e55c2979ab39e72d104b38b2b.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHUNN.h"
#include "common.h"
#if THRUST_PATH
#include <thrust/fill.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
#include <thrust/reduce.h>
#include <thrust/inner_product.h>
#else
#include <bolt/amp/functio... | ba146d52001dbc9e55c2979ab39e72d104b38b2b.cu | #include "THCUNN.h"
#include "common.h"
#if THRUST_PATH
#include <thrust/fill.h>
#include <thrust/functional.h>
#include <thrust/device_ptr.h>
#include <thrust/reduce.h>
#include <thrust/inner_product.h>
#else
#include <bolt/amp/functional.h>
#include <bolt/amp/inner_product.h>
#endif
stru... |
e1dfe5d2cbbd77cecc3480bb144c3f6fcb1a7853.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
this example to show malloc 2D interface used to get a memory
optimized add padding then make sure alignment is better for fetch
*/
#include <common_functions.h>
#include <iostream>
using namespace std;
__global__ void MyKernel... | e1dfe5d2cbbd77cecc3480bb144c3f6fcb1a7853.cu | /*
this example to show malloc 2D interface used to get a memory
optimized add padding then make sure alignment is better for fetch
*/
#include <common_functions.h>
#include <iostream>
using namespace std;
__global__ void MyKernel(char* devPtr, size_t pitch, int width, int height)
{
for (int r = 0; r < height; ++r)... |
40d85435f862cdb86752ea8ca6951507cc0f7bfb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "vadd.cuh"
#include <cstdio>
#include <cstdlib>
#include <iostream>
#define THREAD_NUM 512
// #define THREAD_NUM 1024
int main(int argc, char *argv[]) {
int N = atoi(argv[1]);
float *a, *b;
hipMallocManaged(&a, N * ... | 40d85435f862cdb86752ea8ca6951507cc0f7bfb.cu | #include "vadd.cuh"
#include <cstdio>
#include <cstdlib>
#include <iostream>
#define THREAD_NUM 512
// #define THREAD_NUM 1024
int main(int argc, char *argv[]) {
int N = atoi(argv[1]);
float *a, *b;
cudaMallocManaged(&a, N * sizeof(float));
cudaMallocManaged(&b, N * sizeof(float));
// assign a and b
for ... |
f1f0d9f73197b2683116d28cb5d515d076b97f71.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#define N 8192 // Number of rows/columns of the matrix.
#define TILE_DIM 32
#define SIZE N*N // Total size of a matrix.
// Compares two matrices element by element.
int isTransposed (const double* a, const doub... | f1f0d9f73197b2683116d28cb5d515d076b97f71.cu | #include <stdio.h>
#define N 8192 // Number of rows/columns of the matrix.
#define TILE_DIM 32
#define SIZE N*N // Total size of a matrix.
// Compares two matrices element by element.
int isTransposed (const double* a, const double* b, const int dim) {
for (int i = 0; i < dim; i++) {
for (int j = 0; j < dim; j... |
d83846d691ba4a92e5dc192f6939988c7284ccf1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "funset.h"
#include <iostream>
using namespace std;
int test1();
int test2();
int test3();//
int test4();//JuliaCUDA
int test5();//
int test6();//
int test7();//rippleCUDA
int test8();//CUDA
int test9();//Juli... | d83846d691ba4a92e5dc192f6939988c7284ccf1.cu | #include "funset.h"
#include <iostream>
using namespace std;
int test1();
int test2();
int test3();//通过线程块索引来计算两个矢量和
int test4();//Julia的CUDA实现
int test5();//通过线程索引来计算两个矢量和
int test6();//通过线程块索引和线程索引来计算两个矢量和
int test7();//ripple的CUDA实现
int test8();//点积运算的CUDA实现
int test9();//Julia的CUDA实现，加入了线程同步函数__syncth... |
8a03311e10206f49e8057bf910a80e07153270f2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <opencv2\core.hpp>
#include <opencv2\highgui.hpp>
#include <stdio.h>
#include<ctime>
using namespace cv;
using namespace std;
void Thresholding(const Mat& inpu... | 8a03311e10206f49e8057bf910a80e07153270f2.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <opencv2\core.hpp>
#include <opencv2\highgui.hpp>
#include <stdio.h>
#include<ctime>
using namespace cv;
using namespace std;
void Thresholding(const Mat& input, Mat& output, unsigned char th)
{
// TODO: Add your CPU sid... |
fa73b8553adb35da44a67981dfe779b05bd4499f.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <math.h>
#include <stdlib.h>
#include <string.h>
#include "fitsio.h"
#include "ddyn.cuh"
void Grid::write_image(int wj,const char * Version){
fitsfile *fptr; /* pointer to the FITS file; defined in fitsio.h */
configdat... | fa73b8553adb35da44a67981dfe779b05bd4499f.cu | #include <stdio.h>
#include <math.h>
#include <stdlib.h>
#include <string.h>
#include "fitsio.h"
#include "ddyn.cuh"
void Grid::write_image(int wj,const char * Version){
fitsfile *fptr; /* pointer to the FITS file; defined in fitsio.h */
configdata *cfg = &cconfig;
char *fname;
char *ver;
int ... |
566750a884a5b877638809f6c2f1f501ed960afa.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.0.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date February 2016
@precisions normal z -> s d c
*/
#include "magma_intern... | 566750a884a5b877638809f6c2f1f501ed960afa.cu | /*
-- MAGMA (version 2.0.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date February 2016
@precisions normal z -> s d c
*/
#include "magma_internal.h"
#define NB 64
// each thread block does one NB x n block row of A.
// each thre... |
169e5007782e1bb5447c739a3ab8ddc2d04b4c20.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... | 169e5007782e1bb5447c739a3ab8ddc2d04b4c20.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... |
f76f3e039bc20c2e5f9e0156f3ff12a91a28bcd3.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 "addScalar.cu"
#include<chrono>
#include<iostream>
using namespac... | f76f3e039bc20c2e5f9e0156f3ff12a91a28bcd3.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 "addScalar.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24}... |
d43d3811990e804e0b50186a1446048e7c856797.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <memory>
#include <thrust/count.h>
#include <thrust/device_ptr.h>
#include <thrust/device_vector.h>
#include <vector>
#include "caffe/layers/mtcnn_bbox_layer.hpp"
namespace caffe {
template <typename... | d43d3811990e804e0b50186a1446048e7c856797.cu | #include <algorithm>
#include <memory>
#include <thrust/count.h>
#include <thrust/device_ptr.h>
#include <thrust/device_vector.h>
#include <vector>
#include "caffe/layers/mtcnn_bbox_layer.hpp"
namespace caffe {
template <typename Dtype>
__global__ void filter_by_threshold(const Dtype *prob, const int prob_cnt,
... |
cf1bff21b28444dd295f4ededfa7c2f7dcd38a91.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <hiprand/hiprand_kernel.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "kernel.hip"
#include<chrono>
#include<iostream>
using namespace ... | cf1bff21b28444dd295f4ededfa7c2f7dcd38a91.cu | #include <stdbool.h>
#include <stdio.h>
#include <string.h>
#include <getopt.h>
#include <curand_kernel.h>
#include <stdlib.h>
#include <cuda.h>
#include <sys/time.h>
#include "kernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{3... |
39d41575acd745be2f4848c5a5c105bd09a9410f.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/scan.h>
#include "common.h"
#include "thrust.h"
namespace StreamCompaction {
namespace Thrust {
float timeThrust(... | 39d41575acd745be2f4848c5a5c105bd09a9410f.cu | #include <cuda.h>
#include <cuda_runtime.h>
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/scan.h>
#include "common.h"
#include "thrust.h"
namespace StreamCompaction {
namespace Thrust {
float timeThrust(int n, int *odata, const int *idata)
{
int* dev_odata;
... |
36fe0e26e725c96ac9dec06bc0b0bdd7e3bff299.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <sys/time.h>
extern "C" {
#include "timer.h"
}
#define NTIMES 16
// CUDA kernel version of stream triad
__global__ void StreamTriad(int n, double scalar, double *a, double *b, double *c){
int i = ... | 36fe0e26e725c96ac9dec06bc0b0bdd7e3bff299.cu | #include <stdio.h>
#include <sys/time.h>
extern "C" {
#include "timer.h"
}
#define NTIMES 16
// CUDA kernel version of stream triad
__global__ void StreamTriad(int n, double scalar, double *a, double *b, double *c){
int i = blockIdx.x*blockDim.x+threadIdx.x;
// Protect from going out-of-bounds
if (i >= n... |
3e75c95a6a6e1422da2470b30e080380195b38b6.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#define HANDLE_ERROR(err) (HandleError(err, __FILE__, __LINE_... | 3e75c95a6a6e1422da2470b30e080380195b38b6.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <iostream>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#define HANDLE_ERROR(err) (HandleError(err, __FILE__, __LINE__))
using namespace std;
using namespace cv;
static const in... |
dce2240b4e8c19237992b1202ddb9bcddaa99214.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/********************************************************************************
*
* Copyright (C) 2015 Culham Centre for Fusion Energy,
* United Kingdom Atomic Energy Authority, Oxfordshire OX14 3DB, UK
*
* Licensed under th... | dce2240b4e8c19237992b1202ddb9bcddaa99214.cu | /********************************************************************************
*
* Copyright (C) 2015 Culham Centre for Fusion Energy,
* United Kingdom Atomic Energy Authority, Oxfordshire OX14 3DB, UK
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in c... |
4d6b308ef931caeffc912f8eacc129298a09dfdb.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 2020 Naval Postgraduate School
*
* 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
*
... | 4d6b308ef931caeffc912f8eacc129298a09dfdb.cu | /*
* Copyright 2020 Naval Postgraduate School
*
* 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... |
14f00c86d077781a1865358b27be677b65cc972d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "../include/cuda_bordering.h"
__global__ void bordering_rect(uchar *d_input, int height, int width, int top, int bottom, int left, int right, uchar color, uchar *d_output)
{
int row = blockDim.y*blockIdx.y + threadIdx... | 14f00c86d077781a1865358b27be677b65cc972d.cu | #include "../include/cuda_bordering.h"
__global__ void bordering_rect(uchar *d_input, int height, int width, int top, int bottom, int left, int right, uchar color, uchar *d_output)
{
int row = blockDim.y*blockIdx.y + threadIdx.y;
int col = blockDim.x*blockIdx.x + threadIdx.x; // each thread handle 4 pixels
... |
7c0e2c5341e9e4f9355013018da248037c2a3b7c.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <hip/hip_runtime_api.h>
#include <hiprand/hiprand.h>
#include "hiprand/hiprand_kernel.h"
#include <assert.h>
// L should be (multiple of (THR_NUMBER - 2) ) + 2
#define L 114
const int AREA = L... | 7c0e2c5341e9e4f9355013018da248037c2a3b7c.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <cuda_runtime_api.h>
#include <curand.h>
#include "curand_kernel.h"
#include <assert.h>
// L should be (multiple of (THR_NUMBER - 2) ) + 2
#define L 114
const int AREA = L*L;
const int NTOT = (L-2)*(L-2);
// #define T 6.
// #define T 0.1
// #define T... |
67f565dc7d39b454aa338740c10b5afa7058e259.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "modulated_deform_conv_cuda_kernel.cuh"
#include "pytorch_cuda_helper.hpp"
void modulated_deformable_im2col_cuda(
const Tensor data_im, const Tensor data_offset, const Tensor data_mask,
const int batch_size, const ... | 67f565dc7d39b454aa338740c10b5afa7058e259.cu | #include "modulated_deform_conv_cuda_kernel.cuh"
#include "pytorch_cuda_helper.hpp"
void modulated_deformable_im2col_cuda(
const Tensor data_im, const Tensor data_offset, const Tensor data_mask,
const int batch_size, const int channels, const int height_im,
const int width_im, const int height_col, const i... |
88d2c49642d92b97dc19ded89f37d66683e89f29.hip | // !!! This is a file automatically generated by hipify!!!
#include "common/book.h"
#include "common/cpu_anim.h"
#include <hip/hip_runtime.h>
#include <cuda_device_runtime_api.h>
#include <hip/hip_runtime.h>
#define DIM 1024
#define PI 3.1415926535897932f
#define MAX_TEMP 1.0f
#define MIN_TEMP 0.0001f
#define SPEED 0... | 88d2c49642d92b97dc19ded89f37d66683e89f29.cu | #include "common/book.h"
#include "common/cpu_anim.h"
#include <cuda.h>
#include <cuda_device_runtime_api.h>
#include <cuda_runtime.h>
#define DIM 1024
#define PI 3.1415926535897932f
#define MAX_TEMP 1.0f
#define MIN_TEMP 0.0001f
#define SPEED 0.25f
struct DataBlock {
unsigned char *output_bitmap;
float *dev_in... |
a3f45d744bc7ab5e4c97b8bc9add228dec87785f.hip | // !!! This is a file automatically generated by hipify!!!
/* Udacity Homework 3
HDR Tone-mapping
Background HDR
==============
A High Dynamic Range (HDR) image contains a wider variation of intensity
and color than is allowed by the RGB format with 1 byte per channel that we
have used in the previous assignment.
To... | a3f45d744bc7ab5e4c97b8bc9add228dec87785f.cu | /* Udacity Homework 3
HDR Tone-mapping
Background HDR
==============
A High Dynamic Range (HDR) image contains a wider variation of intensity
and color than is allowed by the RGB format with 1 byte per channel that we
have used in the previous assignment.
To store this extra information we use single precision float... |
8a20c1168b7b47bbfc9e503b91c7d7163c17f455.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cstdio>
#include <iostream>
#include "data_manager.h"
#include "gpu_util.h"
#include "gpu_benchmark.h"
#define BLOCK_SIZE 32
__global__
void naiveMulKernel(size_t pitch_A, size_t pitch_B, size_t pitch_C,
... | 8a20c1168b7b47bbfc9e503b91c7d7163c17f455.cu | #include <cstdio>
#include <iostream>
#include "data_manager.h"
#include "gpu_util.h"
#include "gpu_benchmark.h"
#define BLOCK_SIZE 32
__global__
void naiveMulKernel(size_t pitch_A, size_t pitch_B, size_t pitch_C,
float* cuda_A, float* cuda_B, float* cuda_C,
int k);
void naiveGP... |
9df4b875fbc047c803944a3411c9e213e60e1d18.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
@precisions normal z -> s d c
@author Mark Gates... | 9df4b875fbc047c803944a3411c9e213e60e1d18.cu | /*
-- MAGMA (version 2.2.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date November 2016
@precisions normal z -> s d c
@author Mark Gates
*/
#include "magma_internal.h"
#define NB 64
/*
Matrix is m x m, and is divided i... |
a4ddb6fcfe8e534117ec6b8dc495355bf00c0012.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <unistd.h>
#undef CUDA_IFC4C_BENCH
#ifdef _OPENMP
#include <omp.h>
#endif
#ifdef __cplusplus
extern "C" {
#endif
#include "integ/ofmo-integ.h"
#include "integ/ofmo-ifc4c.h"
extern FILE* fp_p... | a4ddb6fcfe8e534117ec6b8dc495355bf00c0012.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <unistd.h>
#undef CUDA_IFC4C_BENCH
#ifdef _OPENMP
#include <omp.h>
#endif
#ifdef __cplusplus
extern "C" {
#endif
#include "integ/ofmo-integ.h"
#include "integ/ofmo-ifc4c.h"
extern FILE* fp_prof; // from common/ofmo-prof.h
#ifdef __cplusplus
}
#endif... |
616c8188b2a09adcc76503e32a499ddfb3d0b7c1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "yolov5_face_plugin.h"
#include "stdio.h"
#include <iostream>
#include <cassert>
#include <memory>
#include<math.h>
#ifndef CUDA_CHECK
#define CUDA_CHECK(callstr) ... | 616c8188b2a09adcc76503e32a499ddfb3d0b7c1.cu | #include "yolov5_face_plugin.h"
#include "stdio.h"
#include <iostream>
#include <cassert>
#include <memory>
#include<math.h>
#ifndef CUDA_CHECK
#define CUDA_CHECK(callstr) \
{ ... |
360b3871a0f5c7ef46d7e9f7ef768e0a9e18c50a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define DAWN_GENERATED 1
#undef DAWN_BACKEND_T
#define DAWN_BACKEND_T CUDA
#ifndef BOOST_RESULT_OF_USE_TR1
#define BOOST_RESULT_OF_USE_TR1 1
#endif
#ifndef BOOST_NO_CXX11_DECLTYPE
#define BOOST_NO_CXX11_DECLTYPE 1
#endif
#ifndef G... | 360b3871a0f5c7ef46d7e9f7ef768e0a9e18c50a.cu | #define DAWN_GENERATED 1
#undef DAWN_BACKEND_T
#define DAWN_BACKEND_T CUDA
#ifndef BOOST_RESULT_OF_USE_TR1
#define BOOST_RESULT_OF_USE_TR1 1
#endif
#ifndef BOOST_NO_CXX11_DECLTYPE
#define BOOST_NO_CXX11_DECLTYPE 1
#endif
#ifndef GRIDTOOLS_DAWN_HALO_EXTENT
#define GRIDTOOLS_DAWN_HALO_EXTENT 3
#endif
#ifndef BOOST_PP_... |
04a651341ece82d6cda53eb5e5f4617c1a8472ce.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 "childKernel.cu"
#include<chrono>
#include<iostream>
using namesp... | 04a651341ece82d6cda53eb5e5f4617c1a8472ce.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 "childKernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,2... |
cacaaaf633989ab395904fb2c58377decd2da11f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "celllist.h"
#include <mirheo/core/logger.h>
#include <mirheo/core/pvs/object_vector.h>
#include <mirheo/core/pvs/particle_vector.h>
#include <mirheo/core/pvs/views/pv.h>
#include <mirheo/core/utils/cuda_common.h>
#include... | cacaaaf633989ab395904fb2c58377decd2da11f.cu | #include "celllist.h"
#include <mirheo/core/logger.h>
#include <mirheo/core/pvs/object_vector.h>
#include <mirheo/core/pvs/particle_vector.h>
#include <mirheo/core/pvs/views/pv.h>
#include <mirheo/core/utils/cuda_common.h>
#include <mirheo/core/utils/kernel_launch.h>
#include <mirheo/core/utils/type_traits.h>
#pragma... |
fb6478d3a332d501fcd737be7e9e4883aa77333b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/Dispatch.h>
#include <ATen/AccumulateType.h>
#include <ATen/div_rtn.h>
#include <ATen/hip/HIPBlas.h>
#include <ATen/hip/detail/KernelUtils.h>
#i... | fb6478d3a332d501fcd737be7e9e4883aa77333b.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/Dispatch.h>
#include <ATen/AccumulateType.h>
#include <ATen/div_rtn.h>
#include <ATen/cuda/CUDABlas.h>
#include <ATen/cuda/detail/KernelUtils.h>
#include <ATen/native/ConvUtils.h>
#include <ATen/native/cuda/block_reduce.cuh>
#includ... |
74df0a894ab8da05665f34cc6f8f059fcb0471a5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <math_functions.h> // CUDA's, not caffe's, for fabs, signbit
#include <thrust/device_vector.h>
#include <thrust/functional.h> // thrust::plus
#include <thrust/reduce.h>
#include <cmath>
#include "caffe/common.hpp"
#incl... | 74df0a894ab8da05665f34cc6f8f059fcb0471a5.cu | #include <math_functions.h> // CUDA's, not caffe's, for fabs, signbit
#include <thrust/device_vector.h>
#include <thrust/functional.h> // thrust::plus
#include <thrust/reduce.h>
#include <cmath>
#include "caffe/common.hpp"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <>
void caffe_gpu_gemm<... |
6eeb518a65fc00b8b6881ff23d18a0173e49fc63.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<cuda_runtime.h>
#include<sys/time.h>
#include<stdint.h>
#include<stdio.h>
#define CHECK(call)\
{\
const hipError_t error = call;\
if(error != hipSuccess)\
{\
printf("Error: %s, %d\n", __FILE__, __LINE__);\
printf("... | 6eeb518a65fc00b8b6881ff23d18a0173e49fc63.cu | #include<cuda_runtime.h>
#include<sys/time.h>
#include<stdint.h>
#include<stdio.h>
#define CHECK(call)\
{\
const cudaError_t error = call;\
if(error != cudaSuccess)\
{\
printf("Error: %s, %d\n", __FILE__, __LINE__);\
printf("Code: %d, reason: %s\n", error, cudaGetErrorString(error));\
exit(0);\
}\
}\
dou... |
7a8d9b69bc0efdabd7ac39424d3bc3c6376c7870.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef _REDUCTION_KERNEL_H_
#define _REDUCTION_KERNEL_H_
#include <stdio.h>
#include "reduction.h"
__global__ void reduction_naive(float* d_odata, float* d_idata, int num_elements)
{
int idx = (blockIdx.y*gridDim.x+blockIdx.... | 7a8d9b69bc0efdabd7ac39424d3bc3c6376c7870.cu |
#ifndef _REDUCTION_KERNEL_H_
#define _REDUCTION_KERNEL_H_
#include <stdio.h>
#include "reduction.h"
__global__ void reduction_naive(float* d_odata, float* d_idata, int num_elements)
{
int idx = (blockIdx.y*gridDim.x+blockIdx.x)*blockDim.x+threadIdx.x;
d_odata[idx] = d_idata[idx]+d_idata[idx+num_elements/2];
}
... |
019570d51d421876aaa13a62d54a29aaab986dcf.hip | // !!! This is a file automatically generated by hipify!!!
#include "image-processing.h"
//#if defined(_MSC_VER) && (_MSC_VER >= 1600)
//#pragma execution_character_set("utf-8")
//#endif
//#include <iostream>
//#include <cmath>
//#include <limits.h>
//#include <hip/hip_runtime.h>
//#include <opencv2/opencv.hpp>
/... | 019570d51d421876aaa13a62d54a29aaab986dcf.cu | #include "image-processing.h"
//#if defined(_MSC_VER) && (_MSC_VER >= 1600)
//#pragma execution_character_set("utf-8")
//#endif
//#include <iostream>
//#include <cmath>
//#include <limits.h>
//#include <cuda.h>
//#include <opencv2/opencv.hpp>
//using namespace cv;
//using namespace std;
//// cpu: 对图像进行缩放
//exter... |
82f9b4afef03c169ad9ecb9141da398cc08b6e27.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cfloat>
#include <Render.h>
#include <Hitable.h>
#include <Material.h>
#include <Objects/Sphere.h>
__global__ void render_init(int max_x, int max_y, hiprandState_t *rand_state) {
int i = threadIdx.x + blockIdx.x * block... | 82f9b4afef03c169ad9ecb9141da398cc08b6e27.cu | #include <cfloat>
#include <Render.h>
#include <Hitable.h>
#include <Material.h>
#include <Objects/Sphere.h>
__global__ void render_init(int max_x, int max_y, curandState *rand_state) {
int i = threadIdx.x + blockIdx.x * blockDim.x;
int j = threadIdx.y + blockIdx.y * blockDim.y;
if((i >= max_x) || (j >= max_y)) re... |
f373a999b01370dc58f28f55110d4a87104fca84.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/ceil_div.h>
#include <ATen/hip/Atomic.cuh>
#include <ATen/hip/HIPContext.h>
#include <ATen/hip/DeviceUtils.cuh>
#include <ATen/TensorUtils.h>
#include <ATen/NativeFunctions.h>
#include <ATen/Ac... | f373a999b01370dc58f28f55110d4a87104fca84.cu | #include <ATen/ATen.h>
#include <ATen/ceil_div.h>
#include <ATen/cuda/Atomic.cuh>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/DeviceUtils.cuh>
#include <ATen/TensorUtils.h>
#include <ATen/NativeFunctions.h>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/cub.cuh>
#include <ATen/native/cuda/SortingComm... |
48e7aee58abcf7d8fe1425348b72493b7b473472.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Indexing:
idx = pixel/voxel index in cartesian coordinates
cidx = center index in cartesian coordinates
linear_idx = pixel/voxel index in flat array
linear_cidx = center index in flat array
Center Stride:
c_stride = number_of_f... | 48e7aee58abcf7d8fe1425348b72493b7b473472.cu | /*
Indexing:
idx = pixel/voxel index in cartesian coordinates
cidx = center index in cartesian coordinates
linear_idx = pixel/voxel index in flat array
linear_cidx = center index in flat array
Center Stride:
c_stride = number_of_features + image_dimention
center_addr = linear_cidx * c_stride
Image Stride:
z_stride =... |
2cf7582314423d6d72062862d337dc65738054eb.hip | // !!! This is a file automatically generated by hipify!!!
#include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/NativeFunctions.h>
#include <ATen/TensorUtils.h>
#include <ATen/Utils.h>
#include <ATen/hip/HIPBlas.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/hip/HIPApplyUtils.cuh>
#include <ATen... | 2cf7582314423d6d72062862d337dc65738054eb.cu | #include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/NativeFunctions.h>
#include <ATen/TensorUtils.h>
#include <ATen/Utils.h>
#include <ATen/cuda/CUDABlas.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <ATen/native/cuda/vol2col.cuh>
namespace at {
namespace n... |
e2c95a74753ca7822273fde508bc4f5b2d41b70f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <iomanip>
#include <hiprand/hiprand_kernel.h>
#define RUNS_PER_THREAD 1000000
#include <time.h>
#include <sys/time.h>
#ifdef __MACH__
#include <mach/clock.h>
#include <mach/mach.h>
#endif
__host__ tim... | e2c95a74753ca7822273fde508bc4f5b2d41b70f.cu | #include <stdio.h>
#include <iomanip>
#include <curand_kernel.h>
#define RUNS_PER_THREAD 1000000
#include <time.h>
#include <sys/time.h>
#ifdef __MACH__
#include <mach/clock.h>
#include <mach/mach.h>
#endif
__host__ timespec GetTime();
__host__ double InSeconds(const timespec ts);
__global__
void ThrowDice(const l... |
79e552684c484862085970dff0468fba2a035997.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//===---- reduction.cu - NVPTX OpenMP reduction implementation ---- CUDA
//-*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// ... | 79e552684c484862085970dff0468fba2a035997.cu | //===---- reduction.cu - NVPTX OpenMP reduction implementation ---- CUDA
//-*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===------------------------... |
d7c931e29e27e9554a2b5f760f996015af74b493.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2020-2023, 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
... | d7c931e29e27e9554a2b5f760f996015af74b493.cu | /*
* Copyright (c) 2020-2023, 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... |
0e402a40c94c4826c1fee0655baa8ee527b54e49.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <cstdio>
__global__ void helloFromGPU(void)
{
printf("Hello from GPU - block: %d - thread: %d. \n", blockIdx.x, threadIdx.x);
}
int main()
{
std::cout << "Hello from CPU. " << std::endl;
... | 0e402a40c94c4826c1fee0655baa8ee527b54e49.cu | #include <iostream>
#include <cstdio>
__global__ void helloFromGPU(void)
{
printf("Hello from GPU - block: %d - thread: %d. \n", blockIdx.x, threadIdx.x);
}
int main()
{
std::cout << "Hello from CPU. " << std::endl;
helloFromGPU<<<2, 5>>>();
//cudaDeviceReset();
cudaDeviceSynchronize();
re... |
b1389e84e39efc89e957b0acdae7c1d57b8f1b55.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/NumericUtils.h>
#include <ATen/core/Tensor.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/native/Resize.h>
#in... | b1389e84e39efc89e957b0acdae7c1d57b8f1b55.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/NumericUtils.h>
#include <ATen/core/Tensor.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/native/Resize.h>
#include <ATen/cuda/Atomic.cuh>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#ifndef AT_PER_O... |
07f06996dbda1a177ac98b9b98e93af6ccd6884c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//------------------------------------------------------------------------------
// Solver.cu
//------------------------------------------------------------------------------
#include "Solver.h"
//----------------------------------... | 07f06996dbda1a177ac98b9b98e93af6ccd6884c.cu | //------------------------------------------------------------------------------
// Solver.cu
//------------------------------------------------------------------------------
#include "Solver.h"
//------------------------------------------------------------------------------
//========================================... |
2cd5b2b0eef24104de77f6d6943a3af1c8b8314e.hip | // !!! This is a file automatically generated by hipify!!!
#include <bits/stdc++.h>
#include <hip/hip_runtime.h>
using namespace std;
#define CEIL(a,b) ((a-1)/b+1)
#define N 1024
__global__ void Sum(float* d_a,float* d_b,float* d_c,int r,int c)
{
int x=blockIdx.x*blockDim.x + threadIdx.x;
int y=blockIdx.y*bl... | 2cd5b2b0eef24104de77f6d6943a3af1c8b8314e.cu | #include <bits/stdc++.h>
#include <cuda.h>
using namespace std;
#define CEIL(a,b) ((a-1)/b+1)
#define N 1024
__global__ void Sum(float* d_a,float* d_b,float* d_c,int r,int c)
{
int x=blockIdx.x*blockDim.x + threadIdx.x;
int y=blockIdx.y*blockDim.y + threadIdx.y;
int index=c*y+x;
if(x<c && y<r)
... |
c8b0e72ffe6ac4fd4702607a9b296caa289a3869.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include "repeat.h"
#define DECLS(N) \
__global__ void kicache_line_##N##_0 (unsigned int *ts, unsigned int* out, int p1, int p2, int its); \
__global__ void kicache_line_##N##_1 (unsigned int *ts, unsigned int*... | c8b0e72ffe6ac4fd4702607a9b296caa289a3869.cu | #include <stdio.h>
#include "repeat.h"
#define DECLS(N) \
__global__ void kicache_line_##N##_0 (unsigned int *ts, unsigned int* out, int p1, int p2, int its); \
__global__ void kicache_line_##N##_1 (unsigned int *ts, unsigned int* out, int p1, int p2, int its); \
__global__ void kicache_line_##N##_2 (unsigned int *ts... |
a8692ce65179e87e6412883db0713b970a906ccd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed ... | a8692ce65179e87e6412883db0713b970a906ccd.cu | // Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim... |
81f9cf9b2108849a29b77f163ed10d95f85e2fae.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <hip/hip_runtime.h>
#include "matmul.cuh"
using namespace std;
int main(int argc, char** argv){
float *A, *B, *C;
unsigned int n = atoi(argv[1]);
unsigned int nthreads_perblock = atoi(argv[2]);
hipMallocManaged((void **)&A, n... | 81f9cf9b2108849a29b77f163ed10d95f85e2fae.cu | #include <iostream>
#include <cuda.h>
#include "matmul.cuh"
using namespace std;
int main(int argc, char** argv){
float *A, *B, *C;
unsigned int n = atoi(argv[1]);
unsigned int nthreads_perblock = atoi(argv[2]);
cudaMallocManaged((void **)&A, n*n*sizeof(float));
cudaMallocManaged((void **)&B, n*n*sizeof(float))... |
bfea4784fc762db9c4cc954f7943644f0e0e3de8.hip | // !!! This is a file automatically generated by hipify!!!
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include "timer.h"
#include "check.h"
#include <hip/hip_runtime.h>
#define SOFTENING 1e-9f
#define BLOCK_SIZE 32
#define BLOCK_STRIDE 32
typedef struct
{
float x, y, z, vx, vy, vz;
} Body;
void ran... | bfea4784fc762db9c4cc954f7943644f0e0e3de8.cu | #include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include "timer.h"
#include "check.h"
#include <cuda_runtime.h>
#define SOFTENING 1e-9f
#define BLOCK_SIZE 32
#define BLOCK_STRIDE 32
typedef struct
{
float x, y, z, vx, vy, vz;
} Body;
void randomizeBodies(float *data, int n)
{
for (int i = 0; i < n; ... |
9cf0faa4bc886d47cabfb5410165d8897bc37e15.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* thunderstruck/tracker: HaarFeatureCalculatorImpl.cu
*/
#include "HaarFeatureCalculatorImpl.h"
#include "cudaApi.cuh"
namespace thunderstruck {
//#################### CUDA KERNELS ####################
__global__ void ck_c... | 9cf0faa4bc886d47cabfb5410165d8897bc37e15.cu | /**
* thunderstruck/tracker: HaarFeatureCalculatorImpl.cu
*/
#include "HaarFeatureCalculatorImpl.h"
#include "cudaApi.cuh"
namespace thunderstruck {
//#################### CUDA KERNELS ####################
__global__ void ck_calculate_haar_features(cudaTextureObject_t integralFrame,
... |
d53ea21a1d31995d12c7b07df356f4527f48b25c.hip | // !!! This is a file automatically generated by hipify!!!
//PND
#define X 1
//RN
#define Y 10
//membrane potential increase per neurotransmitter
#define Z 100
//CD
#define C 10
//MPD
#define D 5
#include <hip/hip_runtime.h>
#include "menu.h"
using namespace std;
/*
void check_preNeuron(){
}
*/
void gen_neuron(i... | d53ea21a1d31995d12c7b07df356f4527f48b25c.cu | //PND
#define X 1
//RN
#define Y 10
//membrane potential increase per neurotransmitter
#define Z 100
//CD
#define C 10
//MPD
#define D 5
#include <cuda_runtime.h>
#include "menu.h"
using namespace std;
/*
void check_preNeuron(){
}
*/
void gen_neuron(int i){
neuronTag *collect = NULL;
collect = new neuron... |
4e0d34c7eecf9ecac7437f0cb9ed2739f65fc429.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... | 4e0d34c7eecf9ecac7437f0cb9ed2739f65fc429.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 ... |
1df403d66921595d36a21a4119c5d7c00cfd3e5d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <math_constants.h>
#include "BC.h"
/**
* Calculates the next finite difference step given a
* grid point and step lengths.
*
* @param curr Pointer to the grid point that should be updated.
* @param width Number of g... | 1df403d66921595d36a21a4119c5d7c00cfd3e5d.cu | #include <math_constants.h>
#include "BC.h"
/**
* Calculates the next finite difference step given a
* grid point and step lengths.
*
* @param curr Pointer to the grid point that should be updated.
* @param width Number of grid points in the x dimension.
* @param xcfl Courant number for x dimension.
* @param ... |
8d61800ba718eeb88852305336a8a024b74ff839.hip | // !!! This is a file automatically generated by hipify!!!
extern "C" {
#include "../shape/head.h"
}
//__host__ void copy_par_to_device(struct par_t *hpar)
//{
// /* NOTE: The double pointer dev_par_fpntr contains pointers that point to
// * host memory. This won't work. Fix later. Though kernel
// * debu... | 8d61800ba718eeb88852305336a8a024b74ff839.cu | extern "C" {
#include "../shape/head.h"
}
//__host__ void copy_par_to_device(struct par_t *hpar)
//{
// /* NOTE: The double pointer dev_par_fpntr contains pointers that point to
// * host memory. This won't work. Fix later. Though kernel
// * debugging shows dev_par_fpartype = 105.6...
// */
// int size_... |
d9b8347562da86490e33ce8ecd419bf87d43d8c6.hip | // !!! This is a file automatically generated by hipify!!!
#include<iostream>
#include"../cuda_note.h"
int main(){
int dev_count = 0;
hipError_t err = hipGetDeviceCount(&dev_count);
if (err == hipSuccess)
{
platformInfo(&dev_count);
}
return 0;
}
| d9b8347562da86490e33ce8ecd419bf87d43d8c6.cu | #include<iostream>
#include"../cuda_note.h"
int main(){
int dev_count = 0;
cudaError_t err = cudaGetDeviceCount(&dev_count);
if (err == cudaSuccess)
{
platformInfo(&dev_count);
}
return 0;
}
|
38ed3af8664964a1518df78092420f0daac044ef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/THCTensorMathBlas.cu"
#else
#define ERROR_ONLY_FP_TYPES(func) \
THError("%s for CUDA tensors only supports floating-point types. Try converting the tensors with .float()"... | 38ed3af8664964a1518df78092420f0daac044ef.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "generic/THCTensorMathBlas.cu"
#else
#define ERROR_ONLY_FP_TYPES(func) \
THError("%s for CUDA tensors only supports floating-point types. Try converting the tensors with .float()", func);
THC_API accreal
THCTensor_(dot)(THCState *state, THCTensor *self, THCTensor *s... |
1739495815b747fe202f0b0605684f6011156b7b.hip | // !!! This is a file automatically generated by hipify!!!
/*************************************************************************
* Copyright (c) 2015, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the ... | 1739495815b747fe202f0b0605684f6011156b7b.cu | /*************************************************************************
* Copyright (c) 2015, 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 s... |
a9fc7cde0bdf7ec8d158630959e0d6a91808ad81.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <stdio.h>
#include <unistd.h>
#include <sys/mman.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <assert.h>
#include <fcntl.h>
#include <errno.h>
#include <vector>
#include <time.h>
#include <sy... | a9fc7cde0bdf7ec8d158630959e0d6a91808ad81.cu | #include <iostream>
#include <stdio.h>
#include <unistd.h>
#include <sys/mman.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <assert.h>
#include <fcntl.h>
#include <errno.h>
#include <vector>
#include <time.h>
#include <sys/time.h>
using std::cout;
using std::cerr;
using std::endl;
using std::cin;
using std:... |
6263ecfb208dfd3dcb1428261bf6474b3bc6bc19.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/hip/HIPContext.h>
#include <ATen/TensorUtils.h>
#include <ATen/NativeFunctions.h>
#include <ATen/WrapDimUtils.h>
#include <THH/THHTensorMathReduce.cuh>
#include <THH/THHTensorSort.cuh>
#include ... | 6263ecfb208dfd3dcb1428261bf6474b3bc6bc19.cu | #include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/TensorUtils.h>
#include <ATen/NativeFunctions.h>
#include <ATen/WrapDimUtils.h>
#include <THC/THCTensorMathReduce.cuh>
#include <THC/THCTensorSort.cuh>
#include <THC/THCThrustAllocator.cuh>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/Num... |
ef6f9cbef82006e8eca7beaf43e9967843c58a6f.hip | // !!! This is a file automatically generated by hipify!!!
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is availab... | ef6f9cbef82006e8eca7beaf43e9967843c58a6f.cu | /*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
*... |
0703f0d2eb4c63c32ef109c343673dc5dd5a0d48.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "bvh.h"
#include "primitive.h"
#include "../watch.h"
#include <iostream>
#include <fstream>
#include <algorithm>
#include <bitset>
#include <thrust/sort.h>
#include <thrust/execution_policy.h>
#include "../Utilities.h"
#in... | 0703f0d2eb4c63c32ef109c343673dc5dd5a0d48.cu | #include "bvh.h"
#include "primitive.h"
#include "../watch.h"
#include <iostream>
#include <fstream>
#include <algorithm>
#include <bitset>
#include <thrust/sort.h>
#include <thrust/execution_policy.h>
#include "../Utilities.h"
#include "../common.h"
using namespace std;
extern inline void copyFromCPUtoGPU(void** dst... |
b28dceffb2a5f314dd1c860f55aae09c5dea12c0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include "CNNConvLayer.h"
using namespace std;
// This is the CPU version, please don't modify it
void convLayerCPU()
{
// declarations for bunch of indexing parameters
int fn, sli, fmy, fmx, y, x;
int ifmy, ... | b28dceffb2a5f314dd1c860f55aae09c5dea12c0.cu | #include <iostream>
#include "CNNConvLayer.h"
using namespace std;
// This is the CPU version, please don't modify it
void convLayerCPU()
{
// declarations for bunch of indexing parameters
int fn, sli, fmy, fmx, y, x;
int ifmy, ifmx, ofmy, ofmx;
int filtIdx, inNeuIdx, outNeuIdx, outIdx;
int filtVol = FMDEPTH * ... |
bb639beab12dcc69e7925886d6f73a139e5ea3db.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "CombineLayer.h"
#include <vector>
#include <helper_functions.h>
#include <helper_cuda.h>
#include <math.h>
#include "../common/Config.h"
#include "../common/cuBase.h"
/*
* dim3 block = dim3(batch, inputsSkip->getLen());... | bb639beab12dcc69e7925886d6f73a139e5ea3db.cu | #include "CombineLayer.h"
#include <vector>
#include <helper_functions.h>
#include <helper_cuda.h>
#include <math.h>
#include "../common/Config.h"
#include "../common/cuBase.h"
/*
* dim3 block = dim3(batch, inputsSkip->getLen());
* dim3 thread= dim3(min(preDelta[0]->getLen() / batch, 1024));
*/
__global__ void g_C... |
36578304dc06c3714c758b0d27aa5707110aef9a.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction,... | 36578304dc06c3714c758b0d27aa5707110aef9a.cu | /**
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and relate... |
0fad5be07728c27a81b8adaeaeeb200b4e3023b2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
// Standard C/C++ Directives
#include <iostream>
#include <conio.h>
// OpenCV directives
#include <highgui\highgui.hpp>
using namespace std;
using namespace cv;
hipEr... | 0fad5be07728c27a81b8adaeaeeb200b4e3023b2.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
// Standard C/C++ Directives
#include <iostream>
#include <conio.h>
// OpenCV directives
#include <highgui\highgui.hpp>
using namespace std;
using namespace cv;
cudaError_t transposeRGBImageOnGPU(Mat *input, Mat *transpose);
__... |
541f23c087b7d5bf99bab2bd7fa55b75a7330297.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
__global__ void kernel(int* a_d, int* b_d, int* c_d){
*c_d = *a_d + *b_d;
return;
}
int main(){
int a = 1, b = 2;
int *a_d, *b_d, *c_d;
hipMalloc((void**) &a_d, sizeof(int));
hipMalloc((void**) &b_d,... | 541f23c087b7d5bf99bab2bd7fa55b75a7330297.cu | #include <stdio.h>
__global__ void kernel(int* a_d, int* b_d, int* c_d){
*c_d = *a_d + *b_d;
return;
}
int main(){
int a = 1, b = 2;
int *a_d, *b_d, *c_d;
cudaMalloc((void**) &a_d, sizeof(int));
cudaMalloc((void**) &b_d, sizeof(int));
cudaMalloc((void**) &c_d, sizeof(int));
cudaMemcpy(a_d, &a, sizeof... |
db2a2e58a28f3e7626ce85fab20056fb0a93ba21.hip | // !!! This is a file automatically generated by hipify!!!
//adding two arrays and storing the results in a third array using CUDA
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
__global__ void add(int *a, int *b, int *c, int Num) {
// int idx = threadIdx.x; // for a grid with ... | db2a2e58a28f3e7626ce85fab20056fb0a93ba21.cu | //adding two arrays and storing the results in a third array using CUDA
#include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
__global__ void add(int *a, int *b, int *c, int Num) {
// int idx = threadIdx.x; // for a grid with one block of threads
int idx = threadIdx.x + blockIdx.x * bl... |
5d96fdd6f7cbba92e57b0bc7c96b9e41e1dd1af8.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include "hip/hip_runtime.h"
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
__global__ void reduction_unroll_block2(int * arr, int * temp, int l)
{
int tid = threadIdx.x;
... | 5d96fdd6f7cbba92e57b0bc7c96b9e41e1dd1af8.cu | #include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include "cuda.h"
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
__global__ void reduction_unroll_block2(int * arr, int * temp, int l)
{
int tid = threadIdx.x;
int BLOCK_OFFSET = blockIdx.x * blockDim.x * 2;
int index = BLOCK_OF... |
2dd2520199df6332e8609a69244e47fe991b4f58.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void kAddDiagonal(float* mat, float* vec, float* tgtMat, unsigned int width) {
const unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int numThreads = blockDim.x * gridDim.x;
... | 2dd2520199df6332e8609a69244e47fe991b4f58.cu | #include "includes.h"
__global__ void kAddDiagonal(float* mat, float* vec, float* tgtMat, unsigned int width) {
const unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned int numThreads = blockDim.x * gridDim.x;
for (unsigned int i = idx; i < width; i += numThreads) {
tgtMat[width*i + i] = mat[widt... |
cf6eb5fa6f933fdcc7ca1ab8d4f89dbca40dda82.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**************************************************************
Lokman A. Abbas-Turki code reused
by Ly Yannick and Prugniaud Melchior for GPU Programming course of ENSAE 2020
Those who re-use this code should mention in their cod... | cf6eb5fa6f933fdcc7ca1ab8d4f89dbca40dda82.cu | /**************************************************************
Lokman A. Abbas-Turki code reused
by Ly Yannick and Prugniaud Melchior for GPU Programming course of ENSAE 2020
Those who re-use this code should mention in their code
the name of the author above.
*******************************************************... |
1c928009ae91c7ca7891dda9610e594789ee40c2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/hip/HIPApplyUtils.cuh>
#include <ATen/hip/detail/IndexUtils.cuh>
#include <ATen/hip/detail/TensorInfo.cuh>
#include <hiprand/hiprand_kernel.h>
#include <THH/THH... | 1c928009ae91c7ca7891dda9610e594789ee40c2.cu | #include <ATen/ATen.h>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <ATen/cuda/detail/IndexUtils.cuh>
#include <ATen/cuda/detail/TensorInfo.cuh>
#include <curand_kernel.h>
#include <THC/THCGeneral.h>
#include <THC/THCTensorRandom.h>
#include <THC/THCGenerator.hpp>
THCGenerator* T... |
92f6ff4296e175544791428f1ba4909f710455d3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <thrust\device_vector.h>
#include <thrust\host_vector.h>
#include <stdio.h>
#include <iostream>
using namespace std;
const int N = 3;
__global__ void add(int *a, int N)
{
int i... | 92f6ff4296e175544791428f1ba4909f710455d3.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <thrust\device_vector.h>
#include <thrust\host_vector.h>
#include <stdio.h>
#include <iostream>
using namespace std;
const int N = 3;
__global__ void add(int *a, int N)
{
int i = blockDim.x*blockIdx.x + threadIdx.x;
if (i < N)
{
... |
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