hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
1f76776811ee97d15faa331c164794dfc41849ac.hip | // !!! This is a file automatically generated by hipify!!!
#include "../../common/common.h"
#include <hip/hip_runtime.h>
#include <stdio.h>
/*
* simpleDivergence demonstrates divergent code on the GPU and its impact on
* performance and CUDA metrics.
*/
__global__ void mathKernel1(float *c)
{
int tid = blockId... | 1f76776811ee97d15faa331c164794dfc41849ac.cu | #include "../../common/common.h"
#include <cuda_runtime.h>
#include <stdio.h>
/*
* simpleDivergence demonstrates divergent code on the GPU and its impact on
* performance and CUDA metrics.
*/
__global__ void mathKernel1(float *c)
{
int tid = blockIdx.x * blockDim.x + threadIdx.x;
float ia, ib;
ia = ib ... |
0f7a7cb1b5c0d3440f97ed922126a5f2aba2aa6c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// ---------------------------------------------------------
// Author: Andy Zeng, Princeton University, 2016
// ---------------------------------------------------------
#include <iostream>
#include <fstream>
#include <iomanip>
#i... | 0f7a7cb1b5c0d3440f97ed922126a5f2aba2aa6c.cu | // ---------------------------------------------------------
// Author: Andy Zeng, Princeton University, 2016
// ---------------------------------------------------------
#include <iostream>
#include <fstream>
#include <iomanip>
#include <sstream>
#include <string>
#include "utils.hpp"
// CUDA kernel function to inte... |
9036aaa3e13589f244a92ca7b41f47e728f2a86f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Software License Agreement (BSD License)
*
* Copyright (c) 2011, Willow Garage, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provide... | 9036aaa3e13589f244a92ca7b41f47e728f2a86f.cu | /*
* Software License Agreement (BSD License)
*
* Copyright (c) 2011, Willow Garage, Inc.
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* * Redistributions of source code mu... |
83adac0b87efe4ed3774a717b50cebc0cbd684c2.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
*
*... | 83adac0b87efe4ed3774a717b50cebc0cbd684c2.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 ... |
e5f09aba2b1bc69c5f7bddc1f527aa664c330e4e.hip | // !!! This is a file automatically generated by hipify!!!
#include "training/graph_group_multinode.h"
#include "kernels/tensor_operators.h"
#include "graph_group_multinode.h"
namespace marian {
/**
* Set given scheduler to register training observers on the shard optimizers.
*/
void MultiNodeGraphGroup::setSchedu... | e5f09aba2b1bc69c5f7bddc1f527aa664c330e4e.cu | #include "training/graph_group_multinode.h"
#include "kernels/tensor_operators.h"
#include "graph_group_multinode.h"
namespace marian {
/**
* Set given scheduler to register training observers on the shard optimizers.
*/
void MultiNodeGraphGroup::setScheduler(Ptr<Scheduler> scheduler) {
scheduler_ = scheduler;
... |
7e8f50cf651fa609fca6f4ec5742b507358c8c2b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gputests.h"
/***********************************************************************************
* Test 8 [Modulo 20, random pattern]
*
* A random pattern is generated. This pattern is used to set every 20th memory loc... | 7e8f50cf651fa609fca6f4ec5742b507358c8c2b.cu | #include "gputests.h"
/***********************************************************************************
* Test 8 [Modulo 20, random pattern]
*
* A random pattern is generated. This pattern is used to set every 20th memory location
* in memory. The rest of the memory location is set to the complimemnt of the pat... |
da3ce6309b65e27e09c6511b09a68c619ee1451a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <assert.h>
// Convenience function for checking CUDA runtime API results
// can be wrapped around any runtime API call. No-op in release builds.
inline
hipError_t checkCuda(hipError_t result)
{
#if defi... | da3ce6309b65e27e09c6511b09a68c619ee1451a.cu |
#include <stdio.h>
#include <assert.h>
// Convenience function for checking CUDA runtime API results
// can be wrapped around any runtime API call. No-op in release builds.
inline
cudaError_t checkCuda(cudaError_t result)
{
#if defined(DEBUG) || defined(_DEBUG)
if (result != cudaSuccess) {
fprintf(stderr, "CUDA... |
10a4b5a25fba7dfce33bf85ea3dfcc0422961f59.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <opencv2/core/cuda.hpp>
#include <opencv2/core/cuda_stream_accessor.hpp>
// http://stackoverflow.com/questions/14038589/what-is-the-canonical-way-to-check-for-errors-using-the-cuda-runtime-api
#define gpuErrchk(ans) { gp... | 10a4b5a25fba7dfce33bf85ea3dfcc0422961f59.cu | #include <cuda_runtime.h>
#include <opencv2/core/cuda.hpp>
#include <opencv2/core/cuda_stream_accessor.hpp>
// http://stackoverflow.com/questions/14038589/what-is-the-canonical-way-to-check-for-errors-using-the-cuda-runtime-api
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __func__, __LINE__, false); }
inline ... |
f9779bbcdde2bf7eb3fdf2f319964b5074b2b65a.hip | // !!! This is a file automatically generated by hipify!!!
#include <algorithm>
#include <vector>
#include "hip/hip_runtime.h"
#include "caffe/layer.hpp"
#include "caffe/custom_layers.hpp"
namespace caffe {
// compute each Vi
template <typename Dtype>
__global__ void ComputeSource(const int total, const i... | f9779bbcdde2bf7eb3fdf2f319964b5074b2b65a.cu | #include <algorithm>
#include <vector>
#include "cuda.h"
#include "caffe/layer.hpp"
#include "caffe/custom_layers.hpp"
namespace caffe {
// compute each Vi
template <typename Dtype>
__global__ void ComputeSource(const int total, const int num, const int height, const int width,
const Dtype* ta... |
c7abbe8a84eb232027d96adc62857ae387fdd83a.hip | // !!! This is a file automatically generated by hipify!!!
#include <cmath>
#include <cstdio>
#include <hip/hip_runtime.h>
#include <thrust/execution_policy.h>
#include <thrust/random.h>
#include <thrust/remove.h>
#include <thrust/copy.h>
#include <thrust/count.h>
#include <thrust/device_vector.h>
#include <hip/hip_r... | c7abbe8a84eb232027d96adc62857ae387fdd83a.cu | #include <cmath>
#include <cstdio>
#include <cuda.h>
#include <thrust/execution_policy.h>
#include <thrust/random.h>
#include <thrust/remove.h>
#include <thrust/copy.h>
#include <thrust/count.h>
#include <thrust/device_vector.h>
#include <cuda_runtime.h>
#include <util/checkCUDAError.h>
#include <glm/gtx/transform.hp... |
cee57508f39a2a34998143905f3938fad9f25415.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include "get_hausdorff_dis_gpu.h"
#include "cuda_utils.h"
#define gt_num 42
#define voxel_dim 31
#define dict_grid_num (voxel_dim*voxel_dim*voxel_dim)
#define prior_point_n... | cee57508f39a2a34998143905f3938fad9f25415.cu | #include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include "get_hausdorff_dis_gpu.h"
#include "cuda_utils.h"
#define gt_num 42
#define voxel_dim 31
#define dict_grid_num (voxel_dim*voxel_dim*voxel_dim)
#define prior_point_num 9
__global__ void get_hausdorff_dis_kernel_fast(const float *__restrict__ neighbor_p... |
a9ddc9c93c0417980b63a2587b510f3601e73861.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright 2019 Jij Inc.
// 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/L... | a9ddc9c93c0417980b63a2587b510f3601e73861.cu | // Copyright 2019 Jij Inc.
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agre... |
d9a31db376e7d2ef6d01bd2092db12fc0ef4a842.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <chrono>
#include <vector>
#include<hiprand/hiprand_kernel.h>
using namespace std;
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(hipError_t code, const char *fi... | d9a31db376e7d2ef6d01bd2092db12fc0ef4a842.cu | #include <iostream>
#include <chrono>
#include <vector>
#include<curand_kernel.h>
using namespace std;
#define gpuErrchk(ans) { gpuAssert((ans), __FILE__, __LINE__); }
inline void gpuAssert(cudaError_t code, const char *file, int line, bool abort=true){
if (code != cudaSuccess) {
fprintf(stderr,"GPUassert: %... |
e866cb19ebbe73d35861534907ef7ceba0a53e91.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
#include <iomanip>
#include <stdio.h>
#include <stdlib.h>
#include <thrust/extrema.h>
#include <thrust/device_vector.h>
#include <chrono>
using namespace std::chrono;
#define CSC(call) ... | e866cb19ebbe73d35861534907ef7ceba0a53e91.cu | #include <iostream>
#include <iomanip>
#include <stdio.h>
#include <stdlib.h>
#include <thrust/extrema.h>
#include <thrust/device_vector.h>
#include <chrono>
using namespace std::chrono;
#define CSC(call) \
do { ... |
e385d9602bc1d4242450911b59a62e34953cc40a.hip | // !!! This is a file automatically generated by hipify!!!
#include "cal.h"
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <cuda_gl_interop.h>
#include <cudnn.h>
#define Dt 0.000005f
float *act[8] = { NULL };
float *para[6] = { NULL };
float *grad[4] = { NULL };
unsigned char *data = NULL... | e385d9602bc1d4242450911b59a62e34953cc40a.cu | #include "cal.h"
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <cuda_gl_interop.h>
#include <cudnn.h>
#define Dt 0.000005f
float *act[8] = { NULL };
float *para[6] = { NULL };
float *grad[4] = { NULL };
unsigned char *data = NULL;
float *buffer = NULL;
float *bufferd = NULL;
int n;
cudaGrap... |
86b3cceed486ff1e2e4e0b2472c9b28542004f81.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
__global__ void process_kernel1(float *input1, float *input2, float *output, int datasize){
int blockNum = blockIdx.z * (gridDim.x * gridDim.y) + blo... | 86b3cceed486ff1e2e4e0b2472c9b28542004f81.cu | #include <stdio.h>
#include <stdlib.h>
#include <cuda.h>
#include <cuda_runtime.h>
__global__ void process_kernel1(float *input1, float *input2, float *output, int datasize){
int blockNum = blockIdx.z * (gridDim.x * gridDim.y) + blockIdx.y * gridDim.x + blockIdx.x;
int threadNum = threadIdx.z * (bloc... |
128c7b514eef389878cb04fc776f46f78f4405b3.hip | // !!! This is a file automatically generated by hipify!!!
/**
* Copyright 1993-2013 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction,... | 128c7b514eef389878cb04fc776f46f78f4405b3.cu | /**
* Copyright 1993-2013 NVIDIA Corporation. All rights reserved.
*
* Please refer to the NVIDIA end user license agreement (EULA) associated
* with this source code for terms and conditions that govern your use of
* this software. Any use, reproduction, disclosure, or distribution of
* this software and relate... |
d37d7181604eb333bd2e9f762bc87d00aa2405f9.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 2014 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache... | d37d7181604eb333bd2e9f762bc87d00aa2405f9.cu | /*
* Copyright 2014 Google Inc. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicab... |
sort_by_key.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <unittest/unittest.h>
#include <thrust/sort.h>
#include <thrust/execution_policy.h>
#include <thrust/functional.h>
template<typename Iterator1, typename Iterator2, typename Compare, typename Iterator3>
__global__
void sor... | sort_by_key.cu | #include <unittest/unittest.h>
#include <thrust/sort.h>
#include <thrust/execution_policy.h>
#include <thrust/functional.h>
template<typename Iterator1, typename Iterator2, typename Compare, typename Iterator3>
__global__
void sort_by_key_kernel(Iterator1 keys_first, Iterator1 keys_last, Iterator2 values_first, Compa... |
029e1d0167c020a33dccdc6631ed7ae65a109547.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime_api.h>
#include <device_launch_parameters.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgp... | 029e1d0167c020a33dccdc6631ed7ae65a109547.cu | #include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <cuda_runtime.h>
#include <cuda_runtime_api.h>
#include <device_launch_parameters.h>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <chrono>
#include <omp.h>
using namespace std;... |
73fa02332f2cbd1bf2488fcd6eb0cf9116bd78f2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include"glcm.h"
/* Calculating GLCM */
int *Calculate_GLCM_rl(const int *image, int *size, int *stride, int *angles, int *Range, int MASK_VALUE, int bin_width, int Ng, int NA, int batch_size)
{
//START_TIMER(time)
int nbytes_i... | 73fa02332f2cbd1bf2488fcd6eb0cf9116bd78f2.cu |
#include"glcm.h"
/* Calculating GLCM */
int *Calculate_GLCM_rl(const int *image, int *size, int *stride, int *angles, int *Range, int MASK_VALUE, int bin_width, int Ng, int NA, int batch_size)
{
//START_TIMER(time)
int nbytes_image = sizeof(int) * size[0] * size[1] * batch_size;
//int nbytes_mask = sizeof(int... |
baea5c12fe87499afcb793bf9db0e10f6dbe5493.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/operators/asin_op.h"
#include <algorithm>
#include <functional>
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
namespace {
__global__ void AsinGradientCUDAKernel(
const int N,
const float* dY,
... | baea5c12fe87499afcb793bf9db0e10f6dbe5493.cu | #include "caffe2/operators/asin_op.h"
#include <algorithm>
#include <functional>
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
namespace {
__global__ void AsinGradientCUDAKernel(
const int N,
const float* dY,
const float* X,
float* dX) {
CUDA_1D_KERNEL_LOOP(i, N) {
#if __CUDA_ARCH__ >= ... |
f55f8ad3b8d8f23e2fd055ec1d5ad8ce39aeba0f.hip | // !!! This is a file automatically generated by hipify!!!
#include <math.h>
#include <unistd.h>
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <hip/hip_runtime_api.h>
extern "C" {
#include "utils.c"
}
#define WARP_SIZE 16
#define DEBUG false
/* ---------------- [[CUDA KERNELS]] ---------------- */
__glo... | f55f8ad3b8d8f23e2fd055ec1d5ad8ce39aeba0f.cu | #include <math.h>
#include <unistd.h>
#include <stdio.h>
#include <cuda.h>
#include <cuda_runtime_api.h>
extern "C" {
#include "utils.c"
}
#define WARP_SIZE 16
#define DEBUG false
/* ---------------- [[CUDA KERNELS]] ---------------- */
__global__ void updateWeightsCUDA(float *weights, float *changes, float *delta... |
95d2ad5c9dd96d61ac2afefe44c39d1984185c39.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 licens... | 95d2ad5c9dd96d61ac2afefe44c39d1984185c39.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 may... |
57ffc9aeadfd1f9dad832b56f245b522c7b5e45a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**************************************************************************************************************************************************
| HBFT algorithm without Dynamic Programming in CUDA
| Author : Dinali ... | 57ffc9aeadfd1f9dad832b56f245b522c7b5e45a.cu | /**************************************************************************************************************************************************
| HBFT algorithm without Dynamic Programming in CUDA
| Author : Dinali Rosemin Dabarera
| University of Peradeniya (EFac 2016) All Rights Reserved
|*****... |
d607dffd119353f06f6cfc9fc70ad5687641d265.hip | // !!! This is a file automatically generated by hipify!!!
/*
* ReconstructionTest_gpu.cu
*
* Created on: Jul 11, 2014
* Author: tombr
*/
#include "ReconstructionTest.h"
#include <tbblas/deeplearn/conv_dbn.hpp>
#include <tbblas/rearrange.hpp>
#include <tbblas/dot.hpp>
#include <tbblas/math.hpp>
#include <... | d607dffd119353f06f6cfc9fc70ad5687641d265.cu | /*
* ReconstructionTest_gpu.cu
*
* Created on: Jul 11, 2014
* Author: tombr
*/
#include "ReconstructionTest.h"
#include <tbblas/deeplearn/conv_dbn.hpp>
#include <tbblas/rearrange.hpp>
#include <tbblas/dot.hpp>
#include <tbblas/math.hpp>
#include <tbblas/util.hpp>
#include <tbblas/new_context.hpp>
#include... |
cc951c41268c161f847789637ef7a7903faac298.hip | // !!! This is a file automatically generated by hipify!!!
#include <vector>
#include "caffe/filler.hpp"
#include "caffe/layer.hpp"
#include "caffe/util/im2col.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/vision_layers.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#inclu... | cc951c41268c161f847789637ef7a7903faac298.cu | #include <vector>
#include "caffe/filler.hpp"
#include "caffe/layer.hpp"
#include "caffe/util/im2col.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/vision_layers.hpp"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <stdlib.h>
#inclu... |
33f9dc3cfd90f0f0569bfd2d14a2edc74fde6d8c.hip | // !!! This is a file automatically generated by hipify!!!
/* ******************************************************************************
*
*
* 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/licen... | 33f9dc3cfd90f0f0569bfd2d14a2edc74fde6d8c.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... |
f5cf2e7899ca237eabc9346198e0a5b194df49bb.hip | // !!! This is a file automatically generated by hipify!!!
//
// include files
//
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <hip/hip_runtime.h>
#define N 512
//
// kernel routine
//
__global__ void add_threads(int *a, int *b, int *c)
{
c[threadIdx.x]... | f5cf2e7899ca237eabc9346198e0a5b194df49bb.cu | //
// include files
//
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <time.h>
#include <cuda_runtime.h>
#define N 512
//
// kernel routine
//
__global__ void add_threads(int *a, int *b, int *c)
{
c[threadIdx.x] = a[threadIdx.x] + b[threadIdx.x];
}
//
// main code
//
//i... |
61cdd34f1a4d667c949b4d0d58b70175368a4246.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <chrono>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <memory>
#include <stdio.h>
#define LENGTH 10
#define TIME 5
#define STEP_X 0.05
#define STEP_T 0.001
#if... | 61cdd34f1a4d667c949b4d0d58b70175368a4246.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <chrono>
#include <fstream>
#include <iomanip>
#include <iostream>
#include <memory>
#include <stdio.h>
#define LENGTH 10
#define TIME 5
#define STEP_X 0.05
#define STEP_T 0.001
#ifdef WIN32
#define GNUPLOT_NAME "pgnuplot -persist"
#else
#defi... |
ec1a106473b0cfa042c956fd86262a8c35042df2.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hip/hip_complex.h>
#include <inttypes.h>
#include <stdio.h>
#include "dada_cuda.h"
#include "mopsr_cuda.h"
#define BEAMS_PER_LOOP 8
#define WARP_SIZE 32
#define NWARPS_PER_BLOCK 32
#define NSUM 32
//#define _GDEBUG... | ec1a106473b0cfa042c956fd86262a8c35042df2.cu |
#include <cuda_runtime.h>
#include <cuComplex.h>
#include <inttypes.h>
#include <stdio.h>
#include "dada_cuda.h"
#include "mopsr_cuda.h"
#define BEAMS_PER_LOOP 8
#define WARP_SIZE 32
#define NWARPS_PER_BLOCK 32
#define NSUM 32
//#define _GDEBUG 1
#ifdef __CUDA_ARCH__
#if (__CUDA_ARCH__ >= 300)
... |
6f43d307e95425d5d99dcc5fd6de89fd609f65e3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <hip/device_functions.h>
#include "ma.h"
// Parameters for CUDA kernel executions
#define BLOCKX 16
#define BLOCKY 16
#define BLOCKSIZE 64
#define TILE_DIM 32
#define BLOCK_ROWS 8
/****** Global Variables *******/
sho... | 6f43d307e95425d5d99dcc5fd6de89fd609f65e3.cu | #include <device_functions.h>
#include "ma.h"
// Parameters for CUDA kernel executions
#define BLOCKX 16
#define BLOCKY 16
#define BLOCKSIZE 64
#define TILE_DIM 32
#define BLOCK_ROWS 8
/****** Global Variables *******/
short2 **maTextures; // Two textures used to compute 2D Voronoi Diagram
int *dindex,*drei... |
180b4e95b18181cf408dcaf7613f17ff160f1be3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layer.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/vision_layers.hpp"
namespace caffe {
template <typename Dtype>
__global__ void MaxPoolFo... | 180b4e95b18181cf408dcaf7613f17ff160f1be3.cu | #include <algorithm>
#include <cfloat>
#include <vector>
#include "caffe/layer.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/vision_layers.hpp"
namespace caffe {
template <typename Dtype>
__global__ void MaxPoolForward(const int nthreads, const Dtype* bottom_data,
const int num, const int channel... |
fa216ec00c24182fe1821ab780c6f7627755021a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// 2D Ising model simulation via Metropolis-Hastings algorithm
// parallel setup ~ single checkboard: preventing race conditions
// include header(s)
#include <random>
#include <cmath>
#include <numeric>
#include <string>
#include ... | fa216ec00c24182fe1821ab780c6f7627755021a.cu | // 2D Ising model simulation via Metropolis-Hastings algorithm
// parallel setup ~ single checkboard: preventing race conditions
// include header(s)
#include <random>
#include <cmath>
#include <numeric>
#include <string>
#include <iostream>
#include <fstream>
#include <vector>
#include <algorithm>
#include <stdio.h>
... |
53c8048fb637f418f3a78d4c75ab10a0396c46bc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2006 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO USER:
*
* This source code is subject to NVIDIA ownership rights under U.S. and
* international Copyright laws.
*
* This software and the... | 53c8048fb637f418f3a78d4c75ab10a0396c46bc.cu | /*
* Copyright 1993-2006 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO USER:
*
* This source code is subject to NVIDIA ownership rights under U.S. and
* international Copyright laws.
*
* This software and the information contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being... |
d2ef8500a48a20d30fc6ed5c0467cc4eb0d56c9c.hip | // !!! This is a file automatically generated by hipify!!!
#define LIMIT -999
#define BLOCK_SIZE 16
#define MAX_SEQ_LEN 2100
#define MAX_SEQ_NUM 1024
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <hip/hip_runtime.h>
#include <sys/time.h>
#include "needle.h"
#include "needle_cpu.h... | d2ef8500a48a20d30fc6ed5c0467cc4eb0d56c9c.cu | #define LIMIT -999
#define BLOCK_SIZE 16
#define MAX_SEQ_LEN 2100
#define MAX_SEQ_NUM 1024
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include <cuda.h>
#include <sys/time.h>
#include "needle.h"
#include "needle_cpu.h"
// includes, kernels
#include "needle_cpu.c"
#include "needle_kerne... |
069186f1db275879c8ea16e0ecb0630b62f7154b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cmath>
#include "naive_gpu_multiply.cuh"
void DoNaiveGpuMatrixMult()
{
const size_t kMatWidth = MAT_WIDTH;
const size_t kMatHeight = MAT_HEIGHT;
hipError_t cuErr = NaiveGpuMult( MatrixUtil::GetMatrix1(), kMa... | 069186f1db275879c8ea16e0ecb0630b62f7154b.cu | #include <cmath>
#include "naive_gpu_multiply.cuh"
void DoNaiveGpuMatrixMult()
{
const size_t kMatWidth = MAT_WIDTH;
const size_t kMatHeight = MAT_HEIGHT;
cudaError_t cuErr = NaiveGpuMult( MatrixUtil::GetMatrix1(), kMatWidth, kMatHeight,
MatrixUtil::GetMatrix2(), kMa... |
1bfcbc06c0fb7695ba7ee296c5d80fc52a02a2d4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "psc_cuda.h"
#define BLOCKSIZE_X 1
#define BLOCKSIZE_Y 4
#define BLOCKSIZE_Z 4
#define PFX(x) cuda_bnd_##x
#include "constants.c"
#define SW (2) // FIXME
// OPT lots of optimization opportunity in the single-proc/patch... | 1bfcbc06c0fb7695ba7ee296c5d80fc52a02a2d4.cu |
#include "psc_cuda.h"
#define BLOCKSIZE_X 1
#define BLOCKSIZE_Y 4
#define BLOCKSIZE_Z 4
#define PFX(x) cuda_bnd_##x
#include "constants.c"
#define SW (2) // FIXME
// OPT lots of optimization opportunity in the single-proc/patch ones,
// but they may not be that important for real production
__global__ static void... |
4d304bdd375fd08808f4b64f9c77ae57cf13eded.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 "_medianfilter.cu"
#include<chrono>
#include<iostream>
using name... | 4d304bdd375fd08808f4b64f9c77ae57cf13eded.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 "_medianfilter.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24... |
23fafe0314d15f678b1ffeb5e16dcc0a2f236db8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//============================================================================
#include<cstdlib>
#include<time.h>
#include<cuda.h>
#include<iostream>
#include<math.h> //Included just to use the Power function
#define BLOCK_SIZE 32
... | 23fafe0314d15f678b1ffeb5e16dcc0a2f236db8.cu | //============================================================================
#include<cstdlib>
#include<time.h>
#include<cuda.h>
#include<iostream>
#include<math.h> //Included just to use the Power function
#define BLOCK_SIZE 32
#define TILE_SIZE 32
#define MAX_MASK_WIDTH 10
__constant__ float M[MAX_MASK_WIDTH];
us... |
22f53ccaac432af0bf4fbff03672f0833ac68428.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Kernels.h"
__global__ void kernel_propagate_sig(nm_float * d_neurones, NetMath::Sigmoid * d_sigmoids,
Network::Dimension::Parameter * param, int *value, int *pitch, int *sig_pitch)
{
int neu_src = threadIdx.x / value[p... | 22f53ccaac432af0bf4fbff03672f0833ac68428.cu | #include "Kernels.h"
__global__ void kernel_propagate_sig(nm_float * d_neurones, NetMath::Sigmoid * d_sigmoids,
Network::Dimension::Parameter * param, int *value, int *pitch, int *sig_pitch)
{
int neu_src = threadIdx.x / value[param->cur_layer] + pitch[param->cur_layer],
sig = sig_pitch[param->cur_layer] + thread... |
0933b9cc4761babd3a14be57d4a4ed0337b4690b.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include"common_structs.h"
#include<stdio.h>
#include"imageOperations.h"
#define BLOCK_WIDTH 10
#define BLOCK_HEIGHT 60
// This will output the proper CUDA error strings in the event that a CUDA host call returns an error
#define ... | 0933b9cc4761babd3a14be57d4a4ed0337b4690b.cu | #include"common_structs.h"
#include<stdio.h>
#include"imageOperations.h"
#define BLOCK_WIDTH 10
#define BLOCK_HEIGHT 60
// This will output the proper CUDA error strings in the event that a CUDA host call returns an error
#define cudaCheckErrors(err) __checkCudaErrors (err, __FILE__, __LINE__)
inline void ... |
sssp_standard.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "sssp_standard.h"
SSSP_Standard::SSSP_Standard(std::shared_ptr<Graph> graph) : SSSP(std::move(graph)) {
}
std::shared_ptr<Paths> SSSP_Standard::compute(int source_node) {
size_t numNodes = graph->edges.size();
siz... | sssp_standard.cu | #include "sssp_standard.h"
SSSP_Standard::SSSP_Standard(std::shared_ptr<Graph> graph) : SSSP(std::move(graph)) {
}
std::shared_ptr<Paths> SSSP_Standard::compute(int source_node) {
size_t numNodes = graph->edges.size();
size_t numEdges = graph->destinations.size();
// Sizes
size_t sizeNodes = numNodes... |
bd47104ed43228ce07691e68d73bfd2d6b16a1d0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
// Enabled to print a bunch of junk during solving
#define DEBUG_PRINT_SOLVER_INFO 0
#include "WarpingSolverParameters.h"
#include "WarpingSolverState.h"
#include "WarpingSolverUtil.h"
#include "WarpingSolverEq... | bd47104ed43228ce07691e68d73bfd2d6b16a1d0.cu | #include <iostream>
// Enabled to print a bunch of junk during solving
#define DEBUG_PRINT_SOLVER_INFO 0
#include "WarpingSolverParameters.h"
#include "WarpingSolverState.h"
#include "WarpingSolverUtil.h"
#include "WarpingSolverEquations.h"
#include <assert.h>
#include <stdio.h>
#include <stdint.h>
#include "../../... |
5956706533b1d94a84062a57d363574252e3640d.hip | // !!! This is a file automatically generated by hipify!!!
/*-----------------------------------------------------------
** gaussian.cu -- The program is to solve a linear system Ax = b
** by using Gaussian Elimination. The algorithm on page 101
** ("Foundations of Parallel Programming") is used.
** The seq... | 5956706533b1d94a84062a57d363574252e3640d.cu | /*-----------------------------------------------------------
** gaussian.cu -- The program is to solve a linear system Ax = b
** by using Gaussian Elimination. The algorithm on page 101
** ("Foundations of Parallel Programming") is used.
** The sequential version is gaussian.c. This parallel
** implem... |
ebce284c867f9a9846e8bb192f09de20f89bab80.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 "gpu_array_dot_product_r8__.cu"
#include<chrono>
#include<iostrea... | ebce284c867f9a9846e8bb192f09de20f89bab80.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 "gpu_array_dot_product_r8__.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8... |
42c52cd3234d752363d7eba1fa5b4de6ee10c4a8.hip | // !!! This is a file automatically generated by hipify!!!
// System includes
#include <stdio.h>
#include <assert.h>
#include <malloc.h>
#include <math.h>
#include <stdlib.h>
// CUDA runtime
#include <hip/hip_runtime.h>
// Helper functions and utilities to work with CUDA
#include "helper_functions.h"
#include "helper... | 42c52cd3234d752363d7eba1fa5b4de6ee10c4a8.cu | // System includes
#include <stdio.h>
#include <assert.h>
#include <malloc.h>
#include <math.h>
#include <stdlib.h>
// CUDA runtime
#include <cuda_runtime.h>
// Helper functions and utilities to work with CUDA
#include "helper_functions.h"
#include "helper_cuda.h"
// setting the number of trials in the monte carlo ... |
822e6a4e3fe27f452ef5375bf3dc4d920591918d.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <assert.h>
//#include <math.h>
#include "hip/hip_runtime.h"
#include <hip/hip_runtime.h>
#include <cusolverDn.h>
#include <rocblas.h>
#include <hipfft.h>
#include "Utilities.cuh"
#define DEBUG
#define PI_R 3.141592653589... | 822e6a4e3fe27f452ef5375bf3dc4d920591918d.cu | #include <stdio.h>
#include <assert.h>
//#include <math.h>
#include "cuda_runtime.h"
#include <cuda.h>
#include <cusolverDn.h>
#include <cublas_v2.h>
#include <cufft.h>
#include "Utilities.cuh"
#define DEBUG
#define PI_R 3.14159265358979323846f
/*******************/
/* iDivUp FUNCTION */
/****************... |
MatKernel.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hiprand/hiprand_kernel.h>
#include <stdio.h>
#include <MatKernel.hpp>
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include <thrust/reverse.h>
#include <thrust/reduce.h>
#include <thrust/merge.h>
#include <thru... | MatKernel.cu | #include <cuda_runtime.h>
#include <curand_kernel.h>
#include <stdio.h>
#include <MatKernel.hpp>
#include <thrust/device_ptr.h>
#include <thrust/sort.h>
#include <thrust/reverse.h>
#include <thrust/reduce.h>
#include <thrust/merge.h>
#include <thrust/fill.h>
#if __CUDA_ARCH__ > 200
#define MAXXGRID 2147483647
#else
#... |
8f084c75545201726743ba39942ccef8c8c6beca.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "kernel_hip.cuh"
__host__ __device__
double getValue(int N, int M, int row, int col, double* List) {
int index = row * M + col;
return List[index];
}
__host__ __device__
double getRowIndex(int N, int M, int index) {
re... | 8f084c75545201726743ba39942ccef8c8c6beca.cu | #include "kernel.cuh"
__host__ __device__
double getValue(int N, int M, int row, int col, double* List) {
int index = row * M + col;
return List[index];
}
__host__ __device__
double getRowIndex(int N, int M, int index) {
return (int)(index / M);
}
__host__ __device__
int getColIndex(int N, int M, int index) {
re... |
c0a8dd0e7d72a17c937348327c2219b3397217db.hip | // !!! This is a file automatically generated by hipify!!!
/*
Implements the various scatter operations on cusp vectors
*/
#include <petscconf.h>
PETSC_CUDA_EXTERN_C_BEGIN
#include <petsc-private/vecimpl.h> /*I "petscvec.h" I*/
#include <../src/vec/vec/impls/dvecimpl.h>
PETSC_CUDA_EXTERN_C_END
#include <..... | c0a8dd0e7d72a17c937348327c2219b3397217db.cu | /*
Implements the various scatter operations on cusp vectors
*/
#include <petscconf.h>
PETSC_CUDA_EXTERN_C_BEGIN
#include <petsc-private/vecimpl.h> /*I "petscvec.h" I*/
#include <../src/vec/vec/impls/dvecimpl.h>
PETSC_CUDA_EXTERN_C_END
#include <../src/vec/vec/impls/seq/seqcusp/cuspvecimpl.h>
#include <cu... |
b433a8598359474b008e58896cf8f9d9f87ba914.hip | // !!! This is a file automatically generated by hipify!!!
/******************************************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
******... | b433a8598359474b008e58896cf8f9d9f87ba914.cu | /******************************************************************************
*cr
*cr (C) Copyright 2010 The Board of Trustees of the
*cr University of Illinois
*cr All Rights Reserved
*cr
*****************************************************************... |
f72fe0f23ca4084d249f1d9ba9e67850f3a0f89a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <iostream>
using namespace std;
#include <thrust/reduce.h>
#include <thrust/sequence.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/types.h>
#incl... | f72fe0f23ca4084d249f1d9ba9e67850f3a0f89a.cu | #include <iostream>
using namespace std;
#include <thrust/reduce.h>
#include <thrust/sequence.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <unistd.h>
#include <fcntl.h>
#include <errno.h>
#include <mat... |
61475f18cde26059035fef26d5fcbbc5bc081818.hip | // !!! This is a file automatically generated by hipify!!!
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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.apa... | 61475f18cde26059035fef26d5fcbbc5bc081818.cu | /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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 applica... |
8a901d80eac9890fe6b6a16da48ad3c2f4231ba9.hip | // !!! This is a file automatically generated by hipify!!!
////////////////////////////////////////////////////////////////////////////
//
// Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
//
// Please refer to the NVIDIA end user license agreement (EULA) associated
// with this source code for terms and... | 8a901d80eac9890fe6b6a16da48ad3c2f4231ba9.cu | ////////////////////////////////////////////////////////////////////////////
//
// Copyright 1993-2015 NVIDIA Corporation. All rights reserved.
//
// Please refer to the NVIDIA end user license agreement (EULA) associated
// with this source code for terms and conditions that govern your use of
// this software. Any u... |
87b849eadc5be6c8589d61e52d9c22caf0b29c3a.hip | // !!! This is a file automatically generated by hipify!!!
#include "random_number_generation_tests.cuh"
SCENARIO("[DEVICE] Uniform random number generation", "[d-urng]") {
GIVEN("An appropriate seed") {
hiprandState_t *state;
checkCudaErrors(hipMalloc(reinterpret_cast<void **>(&state),
... | 87b849eadc5be6c8589d61e52d9c22caf0b29c3a.cu | #include "random_number_generation_tests.cuh"
SCENARIO("[DEVICE] Uniform random number generation", "[d-urng]") {
GIVEN("An appropriate seed") {
curandState *state;
checkCudaErrors(cudaMalloc(reinterpret_cast<void **>(&state),
sizeof(curandState)));
initia... |
098e62fcdfcb4630f27b1149d85b50a6659af993.hip | // !!! This is a file automatically generated by hipify!!!
//This code is a modification of L2 cache benchmark from
//"Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking": https://arxiv.org/pdf/1804.06826.pdf
//This benchmark measures the maximum read bandwidth of L2 cache for 64 bit
//Compile this fi... | 098e62fcdfcb4630f27b1149d85b50a6659af993.cu | //This code is a modification of L2 cache benchmark from
//"Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking": https://arxiv.org/pdf/1804.06826.pdf
//This benchmark measures the maximum read bandwidth of L2 cache for 64 bit
//Compile this file using the following command to disable L1 cache:
// n... |
8e8da4f4d33f5d12b39ee09c8a4cbf8554a20d4d.hip | // !!! This is a file automatically generated by hipify!!!
// 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:... | 8e8da4f4d33f5d12b39ee09c8a4cbf8554a20d4d.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... |
1684bfc54de2245d7ec33e6fc040f7ce26e54e83.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 "shortcut_kernel.cu"
#include<chrono>
#include<iostream>
using na... | 1684bfc54de2245d7ec33e6fc040f7ce26e54e83.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 "shortcut_kernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{... |
60e1422e13a8882162657a4dcb89b9771fd61e1e.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <limits.h>
#include "binary_search.h"
#include <chrono>
#include <iostream>
#define BLOCKDIM 512
#define SEARCH_CHUNK 16
#define BLOCK_CHUNK (BLOCKDIM*SEARCH_CHUNK)
__global__ void search_kernel(const long int *arr,
... | 60e1422e13a8882162657a4dcb89b9771fd61e1e.cu | #include <cuda.h>
#include <limits.h>
#include "binary_search.h"
#include <chrono>
#include <iostream>
#define BLOCKDIM 512
#define SEARCH_CHUNK 16
#define BLOCK_CHUNK (BLOCKDIM*SEARCH_CHUNK)
__global__ void search_kernel(const long int *arr,
const long int len, const long int *querys, const long int num_querys... |
6b63f345d5f72fbbbcb89d673abbc69690bd05da.hip | // !!! This is a file automatically generated by hipify!!!
/*******************************<GINKGO LICENSE>******************************
Copyright (c) 2017-2022, the Ginkgo authors
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the fol... | 6b63f345d5f72fbbbcb89d673abbc69690bd05da.cu | /*******************************<GINKGO LICENSE>******************************
Copyright (c) 2017-2022, the Ginkgo authors
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
1. Redistributions of source co... |
71769b6333800f508f2e722243af85ac91067642.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// nvcc iso2PCF.cu -o par.out && ./par.out data_5K.dat rand0_5K.dat 5000 30 180
#include <iostream>
#include <fstream>
#include <string.h>
#include <time.h>
#include <math.h>
using namespace std;
//Point with weight value. Structu... | 71769b6333800f508f2e722243af85ac91067642.cu | // nvcc iso2PCF.cu -o par.out && ./par.out data_5K.dat rand0_5K.dat 5000 30 180
#include <iostream>
#include <fstream>
#include <string.h>
#include <time.h>
#include <math.h>
using namespace std;
//Point with weight value. Structure
struct PointW3D{
float x;
float y;
float z;
float w;
};
struct Node... |
b30f98ce14d4b3c88134b8c8c467431574c1a5c3.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 <ctime>
#include <opencv\cv.h>
#include <opencv\highgui.h>
#include <time.h>
#include <iostream>
... | b30f98ce14d4b3c88134b8c8c467431574c1a5c3.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <opencv2\core.hpp>
#include <opencv2\highgui.hpp>
#include <ctime>
#include <opencv\cv.h>
#include <opencv\highgui.h>
#include <time.h>
#include <iostream>
#define K 16 // K is the size of block KxK
#define W 1 ... |
cbc5cdc95004a31887b7a1d99ac7676650b3bff4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef USE_ROCM
#include "dragon/core/context_cuda.h"
#include "dragon/utils/op_kernels.h"
namespace dragon {
namespace kernel {
namespace {
template <typename T>
__global__ void _HardSigmoid(
const int nthreads,
const ... | cbc5cdc95004a31887b7a1d99ac7676650b3bff4.cu | #ifdef USE_CUDA
#include "dragon/core/context_cuda.h"
#include "dragon/utils/op_kernels.h"
namespace dragon {
namespace kernel {
namespace {
template <typename T>
__global__ void _HardSigmoid(
const int nthreads,
const T alpha,
const T beta,
const T* x,
T* y) {
CUDA_1D_KERNEL_LOOP(i, nthreads... |
835a04869a78f38331c162504477db7e714e1a7e.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 "GoniometricFunctionKernel.cu"
#include<chrono>
#include<iostream... | 835a04869a78f38331c162504477db7e714e1a7e.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 "GoniometricFunctionKernel.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8}... |
bf65a8c1a3161be1906f7491d4773755f13ce2e8.hip | // !!! This is a file automatically generated by hipify!!!
/*
* 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/li... | bf65a8c1a3161be1906f7491d4773755f13ce2e8.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 ... |
5b51be65a9def983859ed8666e560ea32aa2fa36.hip | // !!! This is a file automatically generated by hipify!!!
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color
//is specified by how much Red, Grean and Blue is in it.
//The 'A' stands for Alpha and is used for transparency, it will be
//ignored in this homework.
//... | 5b51be65a9def983859ed8666e560ea32aa2fa36.cu |
// Color to Greyscale Conversion
//A common way to represent color images is known as RGBA - the color
//is specified by how much Red, Grean and Blue is in it.
//The 'A' stands for Alpha and is used for transparency, it will be
//ignored in this homework.
//Each channel Red, Blue, Green and Alpha is represented by o... |
42301a0c464d882329ff0f46415502820d1ff458.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 "reduction_neighbored_pairs_improved_1.cu"
#include<chrono>
#incl... | 42301a0c464d882329ff0f46415502820d1ff458.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 "reduction_neighbored_pairs_improved_1.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20]... |
2fd4bd560e98c24c56e20663ae7230f56c49ca86.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <hip/hip_runtime.h>
#include <iostream>
#include <fstream>
int main(int argc,char **argv)
{
std::ofstream myfile;
myfile.open ("seq_mapping.csv");
// set these variables
unsigned int times = 10;
unsigned int IN... | 2fd4bd560e98c24c56e20663ae7230f56c49ca86.cu | #include <stdio.h>
#include <cuda_runtime.h>
#include <iostream>
#include <fstream>
int main(int argc,char **argv)
{
std::ofstream myfile;
myfile.open ("seq_mapping.csv");
// set these variables
unsigned int times = 10;
unsigned int IN_SIZE;
unsigned int IN_BYTES;
unsigned int OUT_SIZE;
... |
4ae8288882cbf39110013bc61f91a79ab11b5ecd.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2018-2019, Michael P. Howard
// This file is part of the azplugins project, released under the Modified BSD License.
// Maintainer: mphoward
#include "PairPotentials.cuh"
namespace azplugins
{
namespace gpu
{
//! Kernel driver for spline pa... | 4ae8288882cbf39110013bc61f91a79ab11b5ecd.cu | // Copyright (c) 2018-2019, Michael P. Howard
// This file is part of the azplugins project, released under the Modified BSD License.
// Maintainer: mphoward
#include "PairPotentials.cuh"
namespace azplugins
{
namespace gpu
{
//! Kernel driver for spline pair potential
template cudaError_t compute_pair_potential<az... |
94c898d320c8b6ef938cabd94a43ab7c3308d134.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "decoding.h"
#include <thrust/extrema.h>
#include <thrust/device_ptr.h>
#include <iostream>
namespace fastertransformer
{
template <typename T>
__global__ void embedding_lookup_kernel(const T* embedding_table, const int*... | 94c898d320c8b6ef938cabd94a43ab7c3308d134.cu | #include "decoding.h"
#include <thrust/extrema.h>
#include <thrust/device_ptr.h>
#include <iostream>
namespace fastertransformer
{
template <typename T>
__global__ void embedding_lookup_kernel(const T* embedding_table, const int* word_ids,
const int hidden_units, T* from_tensor)
{
int write_pos = threadIdx.x +... |
7f57c9f93d95824c380a76e4f956f570b9f75267.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define TILE_WIDTH 2
__global__ void MatrixMulKernel(float* Md, float* Nd, float* Pd, int Width);
__global__ void sMatrixMulKernel(float* Md, float* Nd, float* Pd, int Width)... | 7f57c9f93d95824c380a76e4f956f570b9f75267.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#define TILE_WIDTH 2
__global__ void MatrixMulKernel(float* Md, float* Nd, float* Pd, int Width);
__global__ void sMatrixMulKernel(float* Md, float* Nd, float* Pd, int Width);
int main(void){
int width = 5;
//Allocate and initialize the matrices M, N, P
//I... |
c726e034ee74652f7cc89f002ef3aef1319aa144.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "gpu_runtime.h"
__global__ void concat_kernel(const int nthreads, const float* in_data,
const bool forward, const int num_concats, const int concat_size,
const int top_concat_axis, const int bottom_concat_axis,
... | c726e034ee74652f7cc89f002ef3aef1319aa144.cu | #include "gpu_runtime.h"
__global__ void concat_kernel(const int nthreads, const float* in_data,
const bool forward, const int num_concats, const int concat_size,
const int top_concat_axis, const int bottom_concat_axis,
const int offset_concat_axis, float* out_data) {
CUDA_KERNEL_LOOP(index, nthreads)... |
e6d4598b8e5c41c9154d70830f20e6598f5d7118.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
// ERROR CHECKING MACROS //////////////////////////////////////////////////////
__global__ void pathAdjacencyKernel(int noTransitions, int noSegments, float* XY1, float* XY2, float* X4_X3, float* Y4_Y3, float... | e6d4598b8e5c41c9154d70830f20e6598f5d7118.cu | #include "includes.h"
// ERROR CHECKING MACROS //////////////////////////////////////////////////////
__global__ void pathAdjacencyKernel(int noTransitions, int noSegments, float* XY1, float* XY2, float* X4_X3, float* Y4_Y3, float* X2_X1, float* Y2_Y1, int* adjacency) {
int blockId = blockIdx.y * gridDim.x + blockId... |
7ac5e26b3b4bb45683e349b1c0ad2f409ca579a2.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <cutil.h>
#include <math.h>
// Includes
#include <stdio.h>
#include "../include/ContAcq-IntClk.h"
//#include "REPEATL.h"
#include "../include/REPEATR.h"
// includes, project
#include "../include/sdkHelper.h" // h... | 7ac5e26b3b4bb45683e349b1c0ad2f409ca579a2.cu | #include <stdio.h>
#include <stdlib.h>
#include <cutil.h>
#include <math.h>
// Includes
#include <stdio.h>
#include "../include/ContAcq-IntClk.h"
//#include "REPEATL.h"
#include "../include/REPEATR.h"
// includes, project
#include "../include/sdkHelper.h" // helper for shared functions common to CUDA SDK samples
//#in... |
559d066a3b4f7db80eab3e8d7649696a5fc32a57.hip | // !!! This is a file automatically generated by hipify!!!
template<typename _Op, typename _Scalar, int _Axis, int MiniBatch = 16>
void ReduceDevice(
const Matrix<_Scalar, Dynamic, Dynamic, Dynamic, ColumnMajor>& in,
Matrix<_Scalar, Dynamic, Dynamic, Dynamic, ColumnMajor>& out,
const _Op& op, const _Scalar& initial)... | 559d066a3b4f7db80eab3e8d7649696a5fc32a57.cu | template<typename _Op, typename _Scalar, int _Axis, int MiniBatch = 16>
void ReduceDevice(
const Matrix<_Scalar, Dynamic, Dynamic, Dynamic, ColumnMajor>& in,
Matrix<_Scalar, Dynamic, Dynamic, Dynamic, ColumnMajor>& out,
const _Op& op, const _Scalar& initial)
{
const Index N = NumEntries(in.rows(), in.cols(), in.bat... |
690d159c242ca77180c3993cb33e55182ab4340a.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... | 690d159c242ca77180c3993cb33e55182ab4340a.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... |
3bb3a7dde2093eb4aac34e5bebfe90d0bd615a6d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright 2016-present, Facebook, Inc.
// All rights reserved.
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include "RuleBookIterator.h"
... | 3bb3a7dde2093eb4aac34e5bebfe90d0bd615a6d.cu | // Copyright 2016-present, Facebook, Inc.
// All rights reserved.
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include "RuleBookIterator.h"
// NTX must be >=2 so r is filled properly
template <typename T, Int NTX, Int NTY>
__gl... |
a15b5cdb988b28e9cf1b158660a0b8130225aed0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "depthSR_kernel.cuh"
__global__ void memcpy_float(int width, float* dst, float* src)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
dst[y * width + x] = src[y * ... | a15b5cdb988b28e9cf1b158660a0b8130225aed0.cu | #include "depthSR_kernel.cuh"
__global__ void memcpy_float(int width, float* dst, float* src)
{
int x = threadIdx.x + blockIdx.x * blockDim.x;
int y = threadIdx.y + blockIdx.y * blockDim.y;
dst[y * width + x] = src[y * width + x];
}
__global__ void extractCorrelation_kernel(ContextDepthSR *context, uint8_... |
c382e1b42577441a93b7bc2636b4bf81f8fcd001.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "saber/funcs/impl/cuda/cuda_utils.h"
namespace anakin {
namespace saber {
template<typename Dtype>
__global__ void trans_map2in(Dtype* output, const Dtype* input, const int* map, int count,
i... | c382e1b42577441a93b7bc2636b4bf81f8fcd001.cu | #include "saber/funcs/impl/cuda/cuda_utils.h"
namespace anakin {
namespace saber {
template<typename Dtype>
__global__ void trans_map2in(Dtype* output, const Dtype* input, const int* map, int count,
int lastdim) {
CUDA_KERNEL_LE(tid, count) {
int seq = tid / lastdim;
... |
a27731edc95a49449945238b7341a75b63204cfa.hip | // !!! This is a file automatically generated by hipify!!!
#include "DalitzPlotPdf.hh"
#include <complex>
using std::complex;
const int resonanceOffset_DP = 4; // Offset of the first resonance into the parameter index array
// Offset is number of parameters, constant index, number of resonances (not calculable
// f... | a27731edc95a49449945238b7341a75b63204cfa.cu | #include "DalitzPlotPdf.hh"
#include <complex>
using std::complex;
const int resonanceOffset_DP = 4; // Offset of the first resonance into the parameter index array
// Offset is number of parameters, constant index, number of resonances (not calculable
// from nP because we don't know what the efficiency might need... |
9e2af108d7684eefd468a9f9aa27fb20a59a60d3.hip | // !!! This is a file automatically generated by hipify!!!
#include "../common/common.h"
#include <hip/hip_runtime.h>
#include <stdio.h>
/*
* An example of using constant memory to optimize performance of a stencil
* computation by storing coefficients of the computation in a constant memory
* array (coef).
*/
#d... | 9e2af108d7684eefd468a9f9aa27fb20a59a60d3.cu | #include "../common/common.h"
#include <cuda_runtime.h>
#include <stdio.h>
/*
* An example of using constant memory to optimize performance of a stencil
* computation by storing coefficients of the computation in a constant memory
* array (coef).
*/
#define RADIUS 4
#define BDIM 32
// constant memory
__constant_... |
kSoftMaxGradCLS.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void kSoftMaxGradCLS(float* mat, int* labels, float* indices, float* target, unsigned int width, unsigned int height) {
const unsigned int idx = blockIdx.x * blockDim.x + threadIdx.x;
const unsigned ... | kSoftMaxGradCLS.cu | #include "includes.h"
__global__ void kSoftMaxGradCLS(float* mat, int* labels, float* indices, float* target, unsigned int width, unsigned int height) {
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*height; i ... |
e65cb7cedf5846f578868b0f40a4f6e78bb3cd15.hip | // !!! This is a file automatically generated by hipify!!!
#include <kernels/gpu/add_bias.h>
#include <core/tensor_builder.h>
#include <global/operator_factory.h>
#include "global/fp16_operator_factory.h"
#include <backend/name.h>
#include <utils/assert.h>
#include <core/device.h>
#include "device_launch_parameters.h"... | e65cb7cedf5846f578868b0f40a4f6e78bb3cd15.cu | #include <kernels/gpu/add_bias.h>
#include <core/tensor_builder.h>
#include <global/operator_factory.h>
#include "global/fp16_operator_factory.h"
#include <backend/name.h>
#include <utils/assert.h>
#include <core/device.h>
#include "device_launch_parameters.h"
#include <cuda_runtime.h>
#include <cuda_fp16.h>
#include... |
0e03c0113a4884724d3c400b5ce7aa008b9b7747.hip | // !!! This is a file automatically generated by hipify!!!
#ifndef __CUDACC_RTC__
#define __CUDACC_RTC__
#endif
#include <hip/device_functions.h>
#include <iostream>
#include <math.h>
#include <hip/hip_runtime.h>
#include "postprocess.cuh"
#include "error_util.h"
using namespace std;
__global__ void remove_backgro... | 0e03c0113a4884724d3c400b5ce7aa008b9b7747.cu |
#ifndef __CUDACC_RTC__
#define __CUDACC_RTC__
#endif
#include <device_functions.h>
#include <iostream>
#include <math.h>
#include <cuda.h>
#include "postprocess.cuh"
#include "error_util.h"
using namespace std;
__global__ void remove_background(float *confData_tmp, int num_anchors, int num_classes, int image_width... |
31147806e3510f2c0e9dde70f7d349cac74fc65a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "kernel_hip.cuh"
#include "Calculator.h"
#include "Threads.h"
using namespace Calculator;
__global__ void initializeCellsKernel ( float4 *d_boids,
int *d_boidId,
int *d_cellId,
int gridWidth... | 31147806e3510f2c0e9dde70f7d349cac74fc65a.cu | #include "kernel.cuh"
#include "Calculator.h"
#include "Threads.h"
using namespace Calculator;
__global__ void initializeCellsKernel ( float4 *d_boids,
int *d_boidId,
int *d_cellId,
int gridWidth,
int cellSize)
{
int boidIdx = blockDim.x*blockIdx.x + threadIdx.x;
if (boidIdx... |
055b17fad1dbc7a8cc651b0458ae9f76731c1f9d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cutil_math.h>
__constant__ unsigned char c_perm_3d[256];
__shared__ unsigned char s_perm_3d[256]; // shared memory copy of permuation array
//unsigned char* d_perm_parts=NULL; // global memory copy of permutation array
//... | 055b17fad1dbc7a8cc651b0458ae9f76731c1f9d.cu | #include <cutil_math.h>
__constant__ unsigned char c_perm_3d[256];
__shared__ unsigned char s_perm_3d[256]; // shared memory copy of permuation array
//unsigned char* d_perm_parts=NULL; // global memory copy of permutation array
// host version of permutation array
const static unsigned char h_perm[] = { 151, 160, 137... |
727e43fb74a9c55ffea4e46c862b00654f2769bd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright 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... | 727e43fb74a9c55ffea4e46c862b00654f2769bd.cu | /* Copyright 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 or agreed... |
dd7dfea7a7c320e9252e874ccda522cea01df4d5.hip | // !!! This is a file automatically generated by hipify!!!
#include "test_cuda_utils.h"
#include <hip/hip_runtime.h>
#include "gpu/kernel/primitives.h"
namespace gccl {
namespace {
extern "C" __global__ void Copy128bGlobal(CopyArgs args) {
int tid = threadIdx.x;
int n_threads = blockDim.x;
args.tid = tid;
a... | dd7dfea7a7c320e9252e874ccda522cea01df4d5.cu | #include "test_cuda_utils.h"
#include <cuda_runtime.h>
#include "gpu/kernel/primitives.h"
namespace gccl {
namespace {
extern "C" __global__ void Copy128bGlobal(CopyArgs args) {
int tid = threadIdx.x;
int n_threads = blockDim.x;
args.tid = tid;
args.n_threads = n_threads;
Copy128b(&args);
}
} // namespa... |
51634413e003c05fb35d1db1f3b32c932665ea1a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "stdio.h"
//#define array = "hello"
int array[5] = {1,2,3,4,5};
//#define arrayCount = 5
int arrayCount = 5;
__global__ void MyKernel(int *array, int arrayCount)
{
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if... | 51634413e003c05fb35d1db1f3b32c932665ea1a.cu | #include "stdio.h"
//#define array = "hello"
int array[5] = {1,2,3,4,5};
//#define arrayCount = 5
int arrayCount = 5;
__global__ void MyKernel(int *array, int arrayCount)
{
int idx = threadIdx.x + blockIdx.x * blockDim.x;
if (idx < arrayCount)
{
array[idx] *= array[idx];
}
}
//extern "C" void laun... |
822eb32c2eda59745bfdf5913be04b048703ded5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe2/core/common_cudnn.h"
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include <hipcub/hipcub.hpp>
namespace caffe2 {
namespace {
// Explicit fast paths for avg and max global... | 822eb32c2eda59745bfdf5913be04b048703ded5.cu | #include "caffe2/core/common_cudnn.h"
#include "caffe2/core/context_gpu.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include <cub/cub.cuh>
namespace caffe2 {
namespace {
// Explicit fast paths for avg and max global pooling due to CuDNN global
// pooling performance bug which makes pooling extremely slow.
te... |
5bc289c288558aaac3f640d80a38ba8f57b2cfe8.hip | // !!! This is a file automatically generated by hipify!!!
// Compile: nvcc -g -G -arch=sm_52 -std=c++11 assignment5-p5.cu -o assignment5-p5
#include <cmath>
#include <cstdlib>
#include <hip/hip_runtime.h>
#include <iostream>
#include <sys/time.h>
const uint64_t N = (64);
#define THRESHOLD (0.000001)
//TileD should b... | 5bc289c288558aaac3f640d80a38ba8f57b2cfe8.cu | // Compile: nvcc -g -G -arch=sm_52 -std=c++11 assignment5-p5.cu -o assignment5-p5
#include <cmath>
#include <cstdlib>
#include <cuda.h>
#include <iostream>
#include <sys/time.h>
const uint64_t N = (64);
#define THRESHOLD (0.000001)
//TileD should be less than or equal to 10 due to thread_per_blolck limit
#define Tile... |
5b0a023c6da12a3b2b35cc877e712a3f17bd8995.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__device__ unsigned int Rand(unsigned int randx)
{
randx = randx*1103515245+12345;
return randx&2147483647;
}
__global__ void setRandom(float *gpu_array, int N, int maxval )
{
int id = (blockIdx.x + blockIdx.y*... | 5b0a023c6da12a3b2b35cc877e712a3f17bd8995.cu | #include "includes.h"
__device__ unsigned int Rand(unsigned int randx)
{
randx = randx*1103515245+12345;
return randx&2147483647;
}
__global__ void setRandom(float *gpu_array, int N, int maxval )
{
int id = (blockIdx.x + blockIdx.y*gridDim.x) * blockDim.x + threadIdx.x;
if( id < N ){
gpu_array[id] = 1.0f / maxval * Ran... |
d0a1fe76dbaac360ed78b0369658e9c0a66ae44e.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (C) 2014, Geometric Design and Manufacturing Lab in THE CHINESE UNIVERSITY OF HONG KONG
* All rights reserved.
*
* http://ldnibasedsolidmodeling.sourceforge.net/
*
*
* Redistribution and use in source and binary forms, with or... | d0a1fe76dbaac360ed78b0369658e9c0a66ae44e.cu | /*
* Copyright (C) 2014, Geometric Design and Manufacturing Lab in THE CHINESE UNIVERSITY OF HONG KONG
* All rights reserved.
*
* http://ldnibasedsolidmodeling.sourceforge.net/
*
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the... |
b95c4810f3c0f6bbdeeb0cb1e25a18bf3b55ec66.hip | // !!! This is a file automatically generated by hipify!!!
/* ******************************************************************************
*
*
* 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/licen... | b95c4810f3c0f6bbdeeb0cb1e25a18bf3b55ec66.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... |
276a108c4d025f5cf17874aa0e87bf3fe33594d4.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 "InvolveVector.cu"
#include<chrono>
#include<iostream>
using name... | 276a108c4d025f5cf17874aa0e87bf3fe33594d4.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 "InvolveVector.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24... |
4e81180b4b9fa89b5f25ac88902ee4fbc2e76097.hip | // !!! This is a file automatically generated by hipify!!!
// Given a list (lst) of length n
// Output its sum = lst[0] + lst[1] + ... + lst[n-1];
#include<stdio.h>
#include "hip/hip_runtime.h"
#include<string.h>
#include<stdlib.h>
#define BLOCK_SIZE 1024 //@@ You can change this
char *inputFile,*outputFile;
void _er... | 4e81180b4b9fa89b5f25ac88902ee4fbc2e76097.cu | // Given a list (lst) of length n
// Output its sum = lst[0] + lst[1] + ... + lst[n-1];
#include<stdio.h>
#include "cuda.h"
#include<string.h>
#include<stdlib.h>
#define BLOCK_SIZE 1024 //@@ You can change this
char *inputFile,*outputFile;
void _errorCheck(cudaError_t e){
if(e != cudaSuccess){
printf("Failed to ru... |
0da2c0c3d294e705179f22332bdbe5e527cf46ef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>
#include "timer.h"
#include <iostream>
using namespace std;
/* Utility function, use to do error checking.
Use this function like this:
checkCuda... | 0da2c0c3d294e705179f22332bdbe5e527cf46ef.cu | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>
#include "timer.h"
#include <iostream>
using namespace std;
/* Utility function, use to do error checking.
Use this function like this:
checkCudaCall(cudaMalloc((void **) &deviceRGB, imgS * sizeof(color_t)));
And to check the res... |
e23a5293534c302801362a1bc7d10aca26197a42.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// CUDA programming example
// A program that computes Y = A*X + Y where X and Y are vectors
// of real numbers and A is a scalar real number.
// Inspired by the Dan Ernst, Brandon Holt CUDA Programming Model talk
#include "book.h"... | e23a5293534c302801362a1bc7d10aca26197a42.cu | // CUDA programming example
// A program that computes Y = A*X + Y where X and Y are vectors
// of real numbers and A is a scalar real number.
// Inspired by the Dan Ernst, Brandon Holt CUDA Programming Model talk
#include "book.h"
#include <set>
__global__ void waring_cuda(int size, int cap, int *n, int *f, int *v) ... |
9b2740fdb6f180034370f4cdf20193cd7a2b402a.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
int main(void){
hipDeviceProp_t prop;
int count;
hipGetDeviceCount(&count);
printf("\nNumber of Devices: %d\n", count);
for(int i=0; i<count; i++){
hipGetDeviceProperties(&prop, i);
printf("\n ---Device %d Information---\n... | 9b2740fdb6f180034370f4cdf20193cd7a2b402a.cu | #include <stdio.h>
int main(void){
cudaDeviceProp prop;
int count;
cudaGetDeviceCount(&count);
printf("\nNumber of Devices: %d\n", count);
for(int i=0; i<count; i++){
cudaGetDeviceProperties(&prop, i);
printf("\n ---Device %d Information---\n", i);
printf("Name: %s\n", prop.name);
/... |
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