hip_filename stringlengths 5 84 | hip_content stringlengths 79 9.69M | cuda_filename stringlengths 4 83 | cuda_content stringlengths 19 9.69M |
|---|---|---|---|
c8a3f9cdf26510ade198e1712f784d48d8c9d8b8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<iostream>
#include<cstdio>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<cuda_runtime.h>
using std::cout;
using std::endl;
#define SQR(x) ((x)*(x))
#define POW2(x) SQR(x)
#define POW3(x) ((... | c8a3f9cdf26510ade198e1712f784d48d8c9d8b8.cu | #include<iostream>
#include<cstdio>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<cuda_runtime.h>
using std::cout;
using std::endl;
#define SQR(x) ((x)*(x))
#define POW2(x) SQR(x)
#define POW3(x) ((x)*(x)*(x))
#define POW4(x) (POW2(x)*POW2(x))
#define POW7(x) (POW3(x)*POW3(x)*(x))
#def... |
abd70a21dfc86e57cc170e61f4ab108c98e3203c.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 Wed Aug 14 12:16:36 2013
@author Mark Gates... | abd70a21dfc86e57cc170e61f4ab108c98e3203c.cu | /*
-- MAGMA (version 1.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
August 2013
@generated s Wed Aug 14 12:16:36 2013
@author Mark Gates
*/
#include "common_magma.h"
#include <assert.h>
#define NB 64
/* ===================... |
f7902763c79dd6cd206a77d4a970ad8cd6b3cbf9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
The implementation of this file is based on qkvToContext plugin in TensorRT demo:
https://github.com/NVIDIA/TensorRT/tree/release/5.1/demo/BERT/
Copyright 2019 NVIDIA Corporation
Licensed under the Apache License, Version 2.0... | f7902763c79dd6cd206a77d4a970ad8cd6b3cbf9.cu | /*
The implementation of this file is based on qkvToContext plugin in TensorRT demo:
https://github.com/NVIDIA/TensorRT/tree/release/5.1/demo/BERT/
Copyright 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 m... |
23fe7c40bbd1e0d5b7ec0c512f800ba737c81218.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdlib.h>
#include "QueueHelpers.cu"
////////////////////////////////////////////////////////////
// Constructor and Deconsturctor
////////////////////////////////////////////////////////////
Queue CreateQueue(int MaxElements) {
Queue Q = (Queue) ... | 23fe7c40bbd1e0d5b7ec0c512f800ba737c81218.cu | #include <stdlib.h>
#include "QueueHelpers.cu"
////////////////////////////////////////////////////////////
// Constructor and Deconsturctor
////////////////////////////////////////////////////////////
Queue CreateQueue(int MaxElements) {
Queue Q = (Queue) malloc (sizeof(struct QueueRecord));
cudaMalloc((void **... |
25c053def2a4cf1f10f5a4fea948dd7e7564e1de.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
__global__ void MultMatrix(float *a, float *b, float *c, int n)
{
int col = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y... | 25c053def2a4cf1f10f5a4fea948dd7e7564e1de.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
__global__ void MultMatrix(float *a, float *b, float *c, int n)
{
int col = blockIdx.x * blockDim.x + threadIdx.x;
int row = blockIdx.y * blockDim.y + threadIdx.y;
int sum = 0;
for (int k = 0; k < n; k++) {
... |
06c091452009177d0892636fd9161849f89d7eaf.hip | // !!! This is a file automatically generated by hipify!!!
#include "./c_runtime_api.h"
#include <cassert>
#include <cstdio>
#include <rocblas.h>
#include <hip/hip_runtime.h>
#define BLOCK_SIZE 16
__global__ void array_set_kernel(int nrow, int ncol,
float* input,
float value) {
int c_ = bl... | 06c091452009177d0892636fd9161849f89d7eaf.cu | #include "./c_runtime_api.h"
#include <cassert>
#include <cstdio>
#include <cublas_v2.h>
#include <cuda_runtime.h>
#define BLOCK_SIZE 16
__global__ void array_set_kernel(int nrow, int ncol,
float* input,
float value) {
int c_ = blockIdx.x * blockDim.x + threadIdx.x;
int r_ = blockIdx.y *... |
687223d6a76882cf4185578554b1bdb21cb74226.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "stdafx.h"
#include "Voxtrace.h"
#include "RayCamera.h"
#include "Renderer.h"
#include <Engine.h>
#include <Pipeline.h>
#include <camera.h>
#include <Line.h>
#include <shader.h>
#include <vbo.h>
#include <vao.h>
#include... | 687223d6a76882cf4185578554b1bdb21cb74226.cu | #include "stdafx.h"
#include "Voxtrace.h"
#include "RayCamera.h"
#include "Renderer.h"
#include <Engine.h>
#include <Pipeline.h>
#include <camera.h>
#include <Line.h>
#include <shader.h>
#include <vbo.h>
#include <vao.h>
#include "CommonDevice.cuh"
#include "cuda_gl_interop.h"
//#include "pick.h"
#include "Randy.h"
... |
8282028b2cb5b197917ca613b8e4f712e8dad0b4.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
#define SIZ 20
#define num_inp 4
using namespace std;
typedef struct edge {
int first, second;
} edges;
__global__ void bfs(const edge *edges, int *vertices, int current_depth) {
int a = blockDim.x * ... | 8282028b2cb5b197917ca613b8e4f712e8dad0b4.cu | #include "includes.h"
#define SIZ 20
#define num_inp 4
using namespace std;
typedef struct edge {
int first, second;
} edges;
__global__ void bfs(const edge *edges, int *vertices, int current_depth) {
int a = blockDim.x * blockIdx.x + threadIdx.x;
int vfirst = edges[a].first;
int dfirst = vertices[vfirst];
in... |
72a87a6470dd4e4897b5e21201ab75e030b6e31e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to dea... | 72a87a6470dd4e4897b5e21201ab75e030b6e31e.cu | /*
* Copyright (c) 2017, NVIDIA CORPORATION. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use... |
1f1e33304e7501842b0861e95bc85e6da3047e61.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 "initialize.cu"
#include<chrono>
#include<iostream>
using namespa... | 1f1e33304e7501842b0861e95bc85e6da3047e61.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 "initialize.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24... |
3203e72368aac552aff1fffb0ceea7ec4f8cc704.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*!
* Copyright [2016] <Contributors>
* \file Correation.cu
* \brief correlation1D operator
* \author Xu Dong
*/
#include "./correlation1D-inl.h"
#include <mshadow/tensor.h>
#include <mshadow/cuda/reduce.cuh>
#include <algorith... | 3203e72368aac552aff1fffb0ceea7ec4f8cc704.cu | /*!
* Copyright [2016] <Contributors>
* \file Correation.cu
* \brief correlation1D operator
* \author Xu Dong
*/
#include "./correlation1D-inl.h"
#include <mshadow/tensor.h>
#include <mshadow/cuda/reduce.cuh>
#include <algorithm>
#include <vector>
#define ROUND_OFF 50000
#define WARPS_PER_BLOCK 1
#define THREADS_... |
34c2d3961f19604ae6a4a3ffa3229c25d53852ef.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
//int main()
//{
// int iDev = 0;
// hipDeviceProp_t iProp;
//
// hipGetDeviceProperties(&iProp, iDev);
// printf("Max threads per SM : %d \n",
// iProp.maxThreadsPerMultiP... | 34c2d3961f19604ae6a4a3ffa3229c25d53852ef.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
//int main()
//{
// int iDev = 0;
// cudaDeviceProp iProp;
//
// cudaGetDeviceProperties(&iProp, iDev);
// printf("Max threads per SM : %d \n",
// iProp.maxThreadsPerMultiProcessor);
//
// return 0;
//} |
1169ff270df91274aff2bdfd729bef130a91dccf.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/lic... | 1169ff270df91274aff2bdfd729bef130a91dccf.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 o... |
c2639656ad192a2f1855a0b5ed366bf08ceaba6e.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/NativeFunctions.h>
#include <ATen/native/sparse/SparseUtils.h>
#include <ATen/native/sparse/hip/SparseHIPApplyUtils.cuh>
#include <ATen/AccumulateType.h>
#includ... | c2639656ad192a2f1855a0b5ed366bf08ceaba6e.cu | #include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/NativeFunctions.h>
#include <ATen/native/sparse/SparseUtils.h>
#include <ATen/native/sparse/cuda/SparseCUDAApplyUtils.cuh>
#include <ATen/AccumulateType.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <THC/THCThrustAllocator.cuh>
#include <TH... |
02aed3b0f240d7fef138cdea037a6ef732c801a7.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifdef WITH_CUDA
#include <cmath>
#include "core/context_cuda.h"
#include "core/tensor.h"
#include "utils/cuda_device.h"
#include "utils/op_kernel.h"
#include "utils/math_functions.h"
namespace dragon {
namespace kernel {
templ... | 02aed3b0f240d7fef138cdea037a6ef732c801a7.cu | #ifdef WITH_CUDA
#include <cmath>
#include "core/context_cuda.h"
#include "core/tensor.h"
#include "utils/cuda_device.h"
#include "utils/op_kernel.h"
#include "utils/math_functions.h"
namespace dragon {
namespace kernel {
template <typename T>
__global__ void _Empty() { }
template<> void Empty<float, CUDAContext>... |
28222618e138b6b7e701b96554970bc536db0e8a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* 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
... | 28222618e138b6b7e701b96554970bc536db0e8a.cu | /**
* Copyright 2021 Huawei Technologies Co., Ltd
*
* 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... |
7d35bd50f25784c03b9e80a4f18d59cc32fc9a0a.hip | // !!! This is a file automatically generated by hipify!!!
#include "THHBlas.h"
#include "THHGeneral.h"
#include "THHHalf.h"
float THCudaBlas_Sdot(THCState *state, int64_t n, float *x, int64_t incx, float *y, int64_t incy)
{
if (n == 1) {
incx = 1;
incy = 1;
}
if ((n <= INT_MAX) && (incx <= INT_MAX) && ... | 7d35bd50f25784c03b9e80a4f18d59cc32fc9a0a.cu | #include "THCBlas.h"
#include "THCGeneral.h"
#include "THCHalf.h"
float THCudaBlas_Sdot(THCState *state, int64_t n, float *x, int64_t incx, float *y, int64_t incy)
{
if (n == 1) {
incx = 1;
incy = 1;
}
if ((n <= INT_MAX) && (incx <= INT_MAX) && (incy <= INT_MAX)) {
int i_n = (int)n;
int i_incx =... |
a4024f78cd5a3d2ecd4b49fd8735c5c43c07fa40.hip | // !!! This is a file automatically generated by hipify!!!
/*
This is the file, written in C++ that is compiled into GPU machine code
Contains the functions:
__global__ double* RK4
__host__ __device__ double* Equation
__host__ __device__ double* christoffel
Struct main_cuda
The main C++ library, Geodesic, calls thi... | a4024f78cd5a3d2ecd4b49fd8735c5c43c07fa40.cu | /*
This is the file, written in C++ that is compiled into GPU machine code
Contains the functions:
__global__ double* RK4
__host__ __device__ double* Equation
__host__ __device__ double* christoffel
Struct main_cuda
The main C++ library, Geodesic, calls this file to run the RK4 solving in parallel on the CUDA GPU
... |
61a9b9e8bc4424b2359d542847c8dc23990c5ccd.hip | // !!! This is a file automatically generated by hipify!!!
/*
This program is used test how the texture memory is arrange on the global memeory
so as to find the fastest access pattern.
*/
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <assert.h>
#include <iostream>... | 61a9b9e8bc4424b2359d542847c8dc23990c5ccd.cu | /*
This program is used test how the texture memory is arrange on the global memeory
so as to find the fastest access pattern.
*/
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <assert.h>
#include <iostream>
#include <string>
#include <fstream>
#include <cuda.h>
#incl... |
5509749d3d79a34621b3bacff377322c3eff48e8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright 2020 Stanford
*
* 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... | 5509749d3d79a34621b3bacff377322c3eff48e8.cu | /* Copyright 2020 Stanford
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in wri... |
28e8a17168e8e51eb280d3fb8fd6b9f3563b7bbc.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
!=====================================================================
!
! S p e c f e m 3 D V e r s i o n 3 . 0
! ---------------------------------------
!
! Main historical authors: Dimit... | 28e8a17168e8e51eb280d3fb8fd6b9f3563b7bbc.cu | /*
!=====================================================================
!
! S p e c f e m 3 D V e r s i o n 3 . 0
! ---------------------------------------
!
! Main historical authors: Dimitri Komatitsch and Jeroen Tromp
! CNRS, France
! ... |
8bc3190abd3b500dfee0465b53242fa24be7d171.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <cfloat>
#include <vector>
#include "caffe/layers/sim_matrix_layer.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/util/gpu_util.cuh"
namespace caffe {
template <typename Dtype>
__global__ void SMForward(c... | 8bc3190abd3b500dfee0465b53242fa24be7d171.cu | #include <cfloat>
#include <vector>
#include "caffe/layers/sim_matrix_layer.hpp"
#include "caffe/util/math_functions.hpp"
#include "caffe/util/gpu_util.cuh"
namespace caffe {
template <typename Dtype>
__global__ void SMForward(const int n, const Dtype* in1, const Dtype* in2,
Dtype* out) {
CUDA_KERNEL_LOOP(in... |
905946f2b6224714731790a3bc3ca9db86c235c9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "./dropblock-gpu-inl.h"
namespace mxnet {
namespace op {
#define CUDA_1D_KERNEL_LOOP(i, n) \
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < (n); \
i += blockDim.x * gri... | 905946f2b6224714731790a3bc3ca9db86c235c9.cu |
#include "./dropblock-gpu-inl.h"
namespace mxnet {
namespace op {
#define CUDA_1D_KERNEL_LOOP(i, n) \
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < (n); \
i += blockDim.x * gridDim.x)
using namespace mshadow::cuda;
// The maximum number of blocks to use i... |
ae9c5d929007a9fb435d1e1c3703c5b5aa9dae0c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "cuda_bndp.h"
#include "cuda_mparticles.cuh"
#include "cuda_bits.h"
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/scan.h>
#include "b40c/radixsort_scanscatter_kernel4.h"
using namesp... | ae9c5d929007a9fb435d1e1c3703c5b5aa9dae0c.cu |
#include "cuda_bndp.h"
#include "cuda_mparticles.cuh"
#include "cuda_bits.h"
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
#include <thrust/scan.h>
#include "b40c/radixsort_scanscatter_kernel4.h"
using namespace b40c_thrust;
typedef uint K;
typedef uint V;
static const int RADIX_BITS = 4;
#in... |
377497a9dfc3f85f50bc04afe69a12fe7bc8098d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2017-2021, NVIDIA CORPORATION & AFFILIATES. 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 o... | 377497a9dfc3f85f50bc04afe69a12fe7bc8098d.cu | // Copyright (c) 2017-2021, NVIDIA CORPORATION & AFFILIATES. 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
//
/... |
63b39674aa1d57eb3727c261c12d1b76bb65d9e2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@author Azzam Haidar
@author Ahmad Ahmad
@generated from magmablas/zpotf2... | 63b39674aa1d57eb3727c261c12d1b76bb65d9e2.cu | /*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@author Azzam Haidar
@author Ahmad Ahmad
@generated from magmablas/zpotf2_kernels.cu, normal z -> d, Mon Jun 25 18:24:15 2018
*/
#include "magma_internal.h"
#in... |
8bb48a4d8e24905b97b654f1a366364478c5d63c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy ... | 8bb48a4d8e24905b97b654f1a366364478c5d63c.cu | // Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless requ... |
4f68047d9aaaa4ee56333b0ccc11a9839c2f909f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2020 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* int... | 4f68047d9aaaa4ee56333b0ccc11a9839c2f909f.cu | /*
* Copyright 1993-2020 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETA... |
3ccd747185725a453f0735aff7288f0696819cd2.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
%%cu
# include <stdio.h>
# include <stdlib.h>
# include <hip/hip_runtime.h>
long n = 33000;
__global__ void testKernel(long *in, long *out, long size, long n) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
long temp;
... | 3ccd747185725a453f0735aff7288f0696819cd2.cu | %%cu
# include <stdio.h>
# include <stdlib.h>
# include <cuda.h>
long n = 33000;
__global__ void testKernel(long *in, long *out, long size, long n) {
int index = blockIdx.x * blockDim.x + threadIdx.x;
long temp;
__shared__ bool swappedodd;
__shared__ bool swappedeven;
long i;
// printf("Thre... |
29f97827fa2b5b1ea55194eb928370fb0b73e45f.hip | // !!! This is a file automatically generated by hipify!!!
//xfail:BOOGIE_ERROR
//--blockDim=2 --gridDim=1 --no-inline
#include <hip/hip_runtime.h>
__global__ void race_test (unsigned int* i, int* A)
{
int tid = threadIdx.x;
int j = atomicAdd(i,tid);
A[j] = tid;
}
| 29f97827fa2b5b1ea55194eb928370fb0b73e45f.cu | //xfail:BOOGIE_ERROR
//--blockDim=2 --gridDim=1 --no-inline
#include <cuda.h>
__global__ void race_test (unsigned int* i, int* A)
{
int tid = threadIdx.x;
int j = atomicAdd(i,tid);
A[j] = tid;
}
|
6144f494c6db3a5cd5dc8f3e14e06a7d139148e8.hip | // !!! This is a file automatically generated by hipify!!!
#include "board.hpp"
Board::Board(int height, int width)
: shape(height, width)
, d_board(nullptr), h_board(nullptr)
, d_allocated(false), h_allocated(false)
{}
auto Board::allocate_memory() -> void
{
device_allocate_memory();
host_allocat... | 6144f494c6db3a5cd5dc8f3e14e06a7d139148e8.cu | #include "board.hpp"
Board::Board(int height, int width)
: shape(height, width)
, d_board(nullptr), h_board(nullptr)
, d_allocated(false), h_allocated(false)
{}
auto Board::allocate_memory() -> void
{
device_allocate_memory();
host_allocate_memory();
}
auto Board::allocate_memory_if_not_allocated... |
3e80c91777168698954e62572f802ddd888fa6d9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@precisions normal z -> c d s
*/
#include "common_mag... | 3e80c91777168698954e62572f802ddd888fa6d9.cu | /*
-- MAGMA (version 1.7.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date September 2015
@precisions normal z -> c d s
*/
#include "common_magma.h"
#include "common_magmasparse.h"
#define BLOCK_SIZE 256
// kernel
__global__ voi... |
9ca3e43c65bbc29c20d0498534710b54553ebc75.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License,... | 9ca3e43c65bbc29c20d0498534710b54553ebc75.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.
*
*... |
6fe40ddce4300de65ac3b9b51b6dc4cb49a8e6e7.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <hiprand/hiprand.h>
#include "common.h"
#include <stdio.h>
#include <hiprand/hiprand_kernel.h>
#define THREADS_PER_BLOCK 32
#define SEED 60
__global__ void mcOnGPU(float *f, const int N, const int nb, hiprandState_t *stat... | 6fe40ddce4300de65ac3b9b51b6dc4cb49a8e6e7.cu | #include <cuda_runtime.h>
#include <curand.h>
#include "common.h"
#include <stdio.h>
#include <curand_kernel.h>
#define THREADS_PER_BLOCK 32
#define SEED 60
__global__ void mcOnGPU(float *f, const int N, const int nb, curandState *states)
{
unsigned int ix = threadIdx.x + blockIdx.x * blockDim.x;
int n = N/nb... |
b4ccd107b86f76b3dff196d3265ceb867529d84a.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
#include <demo_util.h>
#define CLOCK_RATE 1124000 // in kHZ
__device__ uint get_smid(void) {
uint ret;
asm("mov.u32 %0, %smid;" : "=r"(ret) );
return ret;
}
__device__ void sleep(float t)
{
... | b4ccd107b86f76b3dff196d3265ceb867529d84a.cu | #include <stdio.h>
#include <demo_util.h>
#define CLOCK_RATE 1124000 // in kHZ
__device__ uint get_smid(void) {
uint ret;
asm("mov.u32 %0, %smid;" : "=r"(ret) );
return ret;
}
__device__ void sleep(float t)
{
clock_t t0 = clock64();
clock_t t1 = t0;
while ((t1 - t0)/(CLOCK_RATE*1000.0... |
52549beb052ddd6e284d369b49061b33d2ea9722.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
// FreckleFilter
//
#include "FreckleFilter.h"
#include <iostream>
#include <fstream>
#include <cmath>
using namespace std;
#include "ErrorCode.h"
#include "Template.h"
#include "TemplateFactory.h"
// DEF_BLOCK_X DEF_BLOCK_Y
/... | 52549beb052ddd6e284d369b49061b33d2ea9722.cu | // FreckleFilter
// 实现广义的中值滤波
#include "FreckleFilter.h"
#include <iostream>
#include <fstream>
#include <cmath>
using namespace std;
#include "ErrorCode.h"
#include "Template.h"
#include "TemplateFactory.h"
// 宏：DEF_BLOCK_X 和 DEF_BLOCK_Y
// 定义了默认的线程块的尺寸。
#define DEF_BLOCK_X 32
#define DEF_BLOCK_Y 8
// Device ... |
bb59a964c5ce69e9b345ae9b8a38426e66400128.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Header2.hpp"
using namespace CR2;
__global__ void CR2::addKernel(int *c, const int *a, const int *b)
{
hipStream_t stream;
hipStreamCreateWithFlags(&stream, hipStreamNonBlocking);
int i = threadIdx.x;
... | bb59a964c5ce69e9b345ae9b8a38426e66400128.cu |
#include "Header2.hpp"
using namespace CR2;
__global__ void CR2::addKernel(int *c, const int *a, const int *b)
{
cudaStream_t stream;
cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking);
int i = threadIdx.x;
c[i] = a[i] + b[i];
cudaDeviceSynchronize();
}
|
d7b436dd43ffb5c8cdd3e42fa518182c849d4469.hip | // !!! This is a file automatically generated by hipify!!!
#include <iostream>
#include <iomanip>
#include <utilities.h>
#include <serial.h>
#include <nvidia.h>
#include <scanTrans.h>
using namespace std;
// Global variables
int *serialCscRowIdx;
int *serialCscColPtr;
double *serialCscVal;
float serialTime;
// Funct... | d7b436dd43ffb5c8cdd3e42fa518182c849d4469.cu | #include <iostream>
#include <iomanip>
#include <utilities.h>
#include <serial.h>
#include <nvidia.h>
#include <scanTrans.h>
using namespace std;
// Global variables
int *serialCscRowIdx;
int *serialCscColPtr;
double *serialCscVal;
float serialTime;
// Function prototypes
void serialAlgo(int m, int n, int nnz, int *... |
26880e9b71169f083b405d7649615804d4b665ee.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <chrono>
#define BLOCK_SIZE 16
//
__global__ void matrixMult(const double *A, const double *B, double *C, int n)
{
int ai =... | 26880e9b71169f083b405d7649615804d4b665ee.cu | #include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <chrono>
#define BLOCK_SIZE 16
//функция ядра
__global__ void matrixMult(const double *A, const double *B, double *C, int n)
{
int ai = n * (blockDim.y * blockIdx.y + threadIdx.y); // ин... |
c5faff787320b412941881b70a4f31786f5c59ff.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <helper_cuda.h>
__global__ void DetectorPowerDetectKernel(float* field, float* intensity, int M_Fields, int M_Camera)
{
int indx = threadIdx.x + blockIdx.x * blockDim.x;
int indy = threadIdx.y + blockIdx.y * bloc... | c5faff787320b412941881b70a4f31786f5c59ff.cu | #include <cuda_runtime.h>
#include <helper_cuda.h>
__global__ void DetectorPowerDetectKernel(float* field, float* intensity, int M_Fields, int M_Camera)
{
int indx = threadIdx.x + blockIdx.x * blockDim.x;
int indy = threadIdx.y + blockIdx.y * blockDim.y;
int offsetView = indx + M_Camera * indy;
int o... |
9bf7f1e65bfe216fb90fbcdbaf2173a109449bda.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* Copyright (c) 2011, Willow Garage, Inc.
*
* All rights reserved.
*
* Redistribution and use in source and binary forms, ... | 9bf7f1e65bfe216fb90fbcdbaf2173a109449bda.cu | /*
* Software License Agreement (BSD License)
*
* Point Cloud Library (PCL) - www.pointclouds.org
* 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
... |
d15730842d65b81d14520b7153fdbb0638413d20.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <iostream>
#include <ostream>
#include <fstream>
#include <sys/time.h>
#include <time.h>
using namespace std;
#define CASENAME "test"
#define NUMGPU 1
#define BLOCKSIZEX 32
#define BLOCKSIZEY 1
#define BLOCKSIZEZ 1
#defi... | d15730842d65b81d14520b7153fdbb0638413d20.cu | #include <cuda.h>
#include <iostream>
#include <ostream>
#include <fstream>
#include <sys/time.h>
#include <time.h>
using namespace std;
#define CASENAME "test"
#define NUMGPU 1
#define BLOCKSIZEX 32
#define BLOCKSIZEY 1
#define BLOCKSIZEZ 1
#define BLOCKSIZELRX 64
#define BLOCKSIZELRY 1
#define BLOCKSIZELRZ 1
#defi... |
20b069e83a519ceef92197d725ca135e8bb2ae06.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... | 20b069e83a519ceef92197d725ca135e8bb2ae06.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... |
6c63dbf32073f86c524ecf12a436c979161b682d.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdio.h>
// __global_- keyword in CUDA C/C++ indicates a function that
// it run on the devices and it is called from host code.
// This is the device components processed by NVIDIA compiler(nvcc).
__global__ void myke... | 6c63dbf32073f86c524ecf12a436c979161b682d.cu |
#include "cuda_runtime.h"
#include <stdio.h>
// __global_- keyword in CUDA C/C++ indicates a function that
// it run on the devices and it is called from host code.
// This is the device components processed by NVIDIA compiler(nvcc).
__global__ void mykernel(void)
{
}
// Host functions processed by standard host c... |
9586ade9cb8cfef12681f67afd4fb796c826ff08.hip | // !!! This is a file automatically generated by hipify!!!
#include <LibFkpsConfig.h>
#include <LibFkps.h>
#include "../LibFkps.hh"
#include <hip/hip_runtime.h>
#include <hip/hiprtc.h>
#include <fstream>
#include <string>
#include <sstream>
LibFkpsErr_t LibFkpsCompile(FKPS lib)
{
LibFkps_t* _lib = (LibFkps_t*)lib... | 9586ade9cb8cfef12681f67afd4fb796c826ff08.cu | #include <LibFkpsConfig.h>
#include <LibFkps.h>
#include "../LibFkps.hh"
#include <cuda_runtime.h>
#include <nvrtc.h>
#include <fstream>
#include <string>
#include <sstream>
LibFkpsErr_t LibFkpsCompile(FKPS lib)
{
LibFkps_t* _lib = (LibFkps_t*)lib;
std::ifstream fileStream;
std::string cFileContent;
nvrtcProg... |
3c4a7d34ac2cf18c4bbdb329a0ff657c2ef69621.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define T 1024 // max threads per block
__global__ void vecAdd(int *a,int *b,int *c,int N);
int main(){
int N=2048;
int curr=2;
printf("-------------------------------... | 3c4a7d34ac2cf18c4bbdb329a0ff657c2ef69621.cu | #include<stdio.h>
#include<stdlib.h>
#include<time.h>
#define T 1024 // max threads per block
__global__ void vecAdd(int *a,int *b,int *c,int N);
int main(){
int N=2048;
int curr=2;
printf("-----------------------------------------\n");
while(N<=T*13){
int a[N], b[N], gpu_add[N],cpu_add[N];
int *dev_a,... |
2cf6e4f52b11d57b4af2448886b0e89e144050f5.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//xfail:REPAIR_ERROR
//--blockDim=2048 --gridDim=64
struct s {
float *p[42];
};
__global__ void foo(s q) {
__requires_fresh_array(q.p[4]);
q.p[4][0] = threadIdx.x;
}
| 2cf6e4f52b11d57b4af2448886b0e89e144050f5.cu | //xfail:REPAIR_ERROR
//--blockDim=2048 --gridDim=64
struct s {
float *p[42];
};
__global__ void foo(s q) {
__requires_fresh_array(q.p[4]);
q.p[4][0] = threadIdx.x;
}
|
613c7b175e406dfd3388a968cbae995b8bcd5522.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/hip/HIPContext.h>
// #include <THH/THHAtomics.cuh>
#define CUDA_1D_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += blockDim.x * gridDim.x)
#define THREA... | 613c7b175e406dfd3388a968cbae995b8bcd5522.cu | #include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
// #include <THC/THCAtomics.cuh>
#define CUDA_1D_KERNEL_LOOP(i, n) \
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += blockDim.x * gridDim.x)
#define THREADS_PER_BLOCK 1024
inline int GET_BLOCKS(const int N) {
int optimal_block_num = (N... |
0552743d0e1086853a96181985ed9bb12eee4d02.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@generated from magmablas/zlascl2.cu, normal z -> d, Mon Ju... | 0552743d0e1086853a96181985ed9bb12eee4d02.cu | /*
-- MAGMA (version 2.4.0) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date June 2018
@generated from magmablas/zlascl2.cu, normal z -> d, Mon Jun 25 18:24:12 2018
@author Theo Mary
*/
#include "magma_internal.h"
#define NB ... |
863aa9e2bacfb25a86859c3c7888db5b73680971.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@generated from magmablas/zgeadd_batched.cu, normal z ->... | 863aa9e2bacfb25a86859c3c7888db5b73680971.cu | /*
-- MAGMA (version 2.5.4) --
Univ. of Tennessee, Knoxville
Univ. of California, Berkeley
Univ. of Colorado, Denver
@date October 2020
@generated from magmablas/zgeadd_batched.cu, normal z -> d, Thu Oct 8 23:05:35 2020
@author Mark Gates
*/
#include "magma_internal.h"
#... |
7945b5627783c52bd2a7b69447c53c5ac2217ee4.hip | // !!! This is a file automatically generated by hipify!!!
/*
* EDDL Library - European Distributed Deep Learning Library.
* Version: 1.1
* copyright (c) 2022, Universitat Politcnica de Valncia (UPV), PRHLT Research Centre
* Date: March 2022
* Author: PRHLT Research Centre, UPV, (rparedes@prhlt.upv.es), (jon@prhlt.upv.... | 7945b5627783c52bd2a7b69447c53c5ac2217ee4.cu | /*
* EDDL Library - European Distributed Deep Learning Library.
* Version: 1.1
* copyright (c) 2022, Universitat Politècnica de València (UPV), PRHLT Research Centre
* Date: March 2022
* Author: PRHLT Research Centre, UPV, (rparedes@prhlt.upv.es), (jon@prhlt.upv.es)
* All rights reserved
*/
#include <string.h>
#inclu... |
62aa1308e1510bab285acc6ebe571c907a781854.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 "loop.cu"
#include<chrono>
#include<iostream>
using namespace std... | 62aa1308e1510bab285acc6ebe571c907a781854.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 "loop.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24},{32,... |
748323d9e8855c08a2d8e745e87a34918c4ab9dd.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THHUNN/generic/ClassNLLCriterion.hip"
#else
void THNN_(ClassNLLCriterion_updateOutput)(
THCState *state,
THCTensor *input,
THCIndexTensor *target,
... | 748323d9e8855c08a2d8e745e87a34918c4ab9dd.cu | #ifndef THC_GENERIC_FILE
#define THC_GENERIC_FILE "THCUNN/generic/ClassNLLCriterion.cu"
#else
void THNN_(ClassNLLCriterion_updateOutput)(
THCState *state,
THCTensor *input,
THCIndexTensor *target,
THCTensor *output,
int64_t reduction,
THCTensor *weights... |
d06fb0b0d568ae18d64520bcb2acf921cd35d6fe.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
__global__ void cu_mat_scalar_multiply(double *A, double B, const int n){
int tid = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
while(tid < n){
A[tid] = __fmul_rd(A[tid], B);
tid... | d06fb0b0d568ae18d64520bcb2acf921cd35d6fe.cu | #include "includes.h"
__global__ void cu_mat_scalar_multiply(double *A, double B, const int n){
int tid = threadIdx.x + blockIdx.x * blockDim.x;
int stride = blockDim.x * gridDim.x;
while(tid < n){
A[tid] = __fmul_rd(A[tid], B);
tid += stride;
}
} |
42a8e3237446d05f1b571273dabd0eab5df8dcb0.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* a simple test
*/
__shared__ float data1[32][32];
__shared__ float data2[32][32];
__shared__ float data3[32][32];
__device__ void mult(__shared__ float d1[32][32],
__shared__ float d2[32][32],
... | 42a8e3237446d05f1b571273dabd0eab5df8dcb0.cu | /*
* a simple test
*/
__shared__ float data1[32][32];
__shared__ float data2[32][32];
__shared__ float data3[32][32];
__device__ void mult(__shared__ float d1[32][32],
__shared__ float d2[32][32],
__shared__ float d3[32][32],
int idx)
{
int i;
int ... |
bc3b2eb4c7bc4f5d4c7e14ed425385a81ffb9b5c.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
# include <stdio.h>
__device__ float doTheCalculation(float f) {
return f * f * f;
}
__global__ void cube(float *d_in, float *d_out) {
int idx = threadIdx.x + blockIdx.x * blockDim.x;
float f = d_in[idx];
//d_out[i... | bc3b2eb4c7bc4f5d4c7e14ed425385a81ffb9b5c.cu | # include <stdio.h>
__device__ float doTheCalculation(float f) {
return f * f * f;
}
__global__ void cube(float *d_in, float *d_out) {
int idx = threadIdx.x + blockIdx.x * blockDim.x;
float f = d_in[idx];
//d_out[idx] = f * f *f;
d_out[idx] = doTheCalculation(f);
}
int main() {
const int ARRA... |
0bdde8d6100f9566e50e10288f961fdec510e603.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "device_launch_parameters.h"
#include "Network.h"
#include <stdio.h>
#include <hip/hip_runtime.h>
int main()
{
ErrorHandler *error = &ErrorHandler::getInstance();
Network train;
float learningrate = 0.05;
int trainit... | 0bdde8d6100f9566e50e10288f961fdec510e603.cu |
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "Network.h"
#include <stdio.h>
#include <cuda.h>
int main()
{
ErrorHandler *error = &ErrorHandler::getInstance();
Network train;
float learningrate = 0.05;
int trainiter = 1;
train.train(false,false, learningrate, trainiter);
train.test(f... |
88723c3a51e51e8e4d60ad46d61d53cffa119fba.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you... | 88723c3a51e51e8e4d60ad46d61d53cffa119fba.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
ca305c81aa16e754f10bd0d0fa1891c1c457911f.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void NesterovUpdate(int N, Dtype *g, Dtype *h, Dtype momentum,
Dtype local_rate) {
CUDA_KERNEL_LOOP(i... | ca305c81aa16e754f10bd0d0fa1891c1c457911f.cu | #include "caffe/util/math_functions.hpp"
namespace caffe {
template <typename Dtype>
__global__ void NesterovUpdate(int N, Dtype *g, Dtype *h, Dtype momentum,
Dtype local_rate) {
CUDA_KERNEL_LOOP(i, N) {
float hi = h[i];
float hi_new = h[i] = momentum * hi + local_rate * g[i];... |
71ee3917ba21d9478cb34eea98e8c8164cc173f9.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "relu.hh"
//-----------------------------------------------------------------------------
// RELU ACTIVATION
//---------------------------------------------... | 71ee3917ba21d9478cb34eea98e8c8164cc173f9.cu | #include "relu.hh"
//-----------------------------------------------------------------------------
// RELU ACTIVATION
//-----------------------------------------------------------------------------
__global__
void activationReLUCUDA(float *A, float *B,... |
f66cc0470ea7506b54109ee711c2f1fefde86c22.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... | f66cc0470ea7506b54109ee711c2f1fefde86c22.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.
*
*... |
3df8968f5a7b6c7586929af7749b62033475da78.hip | // !!! This is a file automatically generated by hipify!!!
#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/TensorUtils.h>
#include <ATen/Utils.h>
#include <ATen/hip/HIPBlas.h>
#include <ATen/hip/HIPContext.h>
#include ... | 3df8968f5a7b6c7586929af7749b62033475da78.cu | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS
#include <ATen/core/Tensor.h>
#include <ATen/AccumulateType.h>
#include <ATen/Dispatch.h>
#include <ATen/TensorUtils.h>
#include <ATen/Utils.h>
#include <ATen/cuda/CUDABlas.h>
#include <ATen/cuda/CUDAContext.h>
#include <ATen/native/ConvUtils.h>
#include <ATen/native/cuda/vo... |
2684ceb5b799a3b12add3cf9dc5851213906fa04.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <stdint.h>
#include "clang/cuda.h"
__global__
void add(float *a, float *b, float *c, int n)
{
int i = __builtin_ptx_read_ctaid_x() * __builtin_ptx_read_ntid_x()
+ __builtin_ptx_read_tid_x();
int j = __buil... | 2684ceb5b799a3b12add3cf9dc5851213906fa04.cu | #include <stdint.h>
#include "clang/cuda.h"
__global__
void add(float *a, float *b, float *c, int n)
{
int i = __builtin_ptx_read_ctaid_x() * __builtin_ptx_read_ntid_x()
+ __builtin_ptx_read_tid_x();
int j = __builtin_ptx_read_ctaid_y() * __builtin_ptx_read_ntid_y()
+ __builtin_ptx_read_tid_... |
73e5e48f5c3c63bebce3f09bf401dfe3302768c1.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "THHTensorMath.h"
#include "THHGeneral.h"
#include "THHApply.cuh"
// Similar to TensorInfo as defined in THCReduceApplyUtils.h, but it preserves
// the exact dimensionality of the tensor instead of flattening contiguous o... | 73e5e48f5c3c63bebce3f09bf401dfe3302768c1.cu | #include "THCTensorMath.h"
#include "THCGeneral.h"
#include "THCApply.cuh"
// Similar to TensorInfo as defined in THCReduceApplyUtils.h, but it preserves
// the exact dimensionality of the tensor instead of flattening contiguous or
// size-1 dimensions. This is required for scatter/gather kernels because we
// need t... |
a33daa6380c92f80344f8e398ffbe76f1d0efeb1.hip | // !!! This is a file automatically generated by hipify!!!
#include <hip/hip_runtime.h>
#include <stdio.h>
#include "freshman.h"
#include <omp.h>
#define N 300000
__global__ void kernel_1()
{
double sum=0.0;
for(int i=0;i<N;i++)
sum=sum+tan(0.1)*tan(0.1);
}
__global__ void kernel_2()
{
double sum=0.... | a33daa6380c92f80344f8e398ffbe76f1d0efeb1.cu | #include <cuda_runtime.h>
#include <stdio.h>
#include "freshman.h"
#include <omp.h>
#define N 300000
__global__ void kernel_1()
{
double sum=0.0;
for(int i=0;i<N;i++)
sum=sum+tan(0.1)*tan(0.1);
}
__global__ void kernel_2()
{
double sum=0.0;
for(int i=0;i<N;i++)
sum=sum+tan(0.1)*tan(0.1);... |
86a49ada78686a3a6da8213c9698ec773656a0ff.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "Rippling.h"
#include <iostream>
#include <assert.h>
#include "Device.h"
using std::cout;
using std::endl;
/*----------------------------------------------------------------------*\
|* Declaration *|
\*--------... | 86a49ada78686a3a6da8213c9698ec773656a0ff.cu | #include "Rippling.h"
#include <iostream>
#include <assert.h>
#include "Device.h"
using std::cout;
using std::endl;
/*----------------------------------------------------------------------*\
|* Declaration *|
\*---------------------------------------------------------------------*/
/*---------------------... |
064fddd7cb7edc0b33c0b4df70c52dcec84ba390.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 lice... | 064fddd7cb7edc0b33c0b4df70c52dcec84ba390.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 ... |
8c3ab8047889a726c3096051bfa686d2e1b828f3.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#if COMPUTE_ENTROPY_VOLUME_CUDA
#define NR_OF_THREADS_PER_MARGIN 1
static texture<float, 2, hipReadModeElementType> t2dActiveVoxelMarginalEntropy;
__device__
void
_UpdateHistogramEntry_device
(
int iActiveVoxelId,
int iVoxelX,... | 8c3ab8047889a726c3096051bfa686d2e1b828f3.cu | #if COMPUTE_ENTROPY_VOLUME_CUDA
#define NR_OF_THREADS_PER_MARGIN 1
static texture<float, 2, cudaReadModeElementType> t2dActiveVoxelMarginalEntropy;
__device__
void
_UpdateHistogramEntry_device
(
int iActiveVoxelId,
int iVoxelX,
int iVoxelY,
int iVoxelZ,
int iXOffset,
int iYOffset,
int iZOffset,
int iValu... |
2952ca7e2747c1da74e04bb4f2ab98d9a5676b1e.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "threadFenceReduction_kernel.cuh"
#include "posFind.cuh"
struct posFinder {
TASKCFG place init() {return place(0u, 0.0);}
TASKCFG place reduce(place x, place y){if (y.val > x.val) return y; else return x;}
TASKCFG pl... | 2952ca7e2747c1da74e04bb4f2ab98d9a5676b1e.cu | #include "threadFenceReduction_kernel.cuh"
#include "posFind.cuh"
struct posFinder {
TASKCFG place init() {return place(0u, 0.0);}
TASKCFG place reduce(place x, place y){if (y.val > x.val) return y; else return x;}
TASKCFG place f(unsigned int i, double c){return place(i, fabs(c));}
};
__global__ void findPeak_... |
4da6c61845d6823a53e2f97b9dfb4b5ab26cb2f0.hip | // !!! This is a file automatically generated by hipify!!!
#include "generators.cuh"
#include "../buffer_manager.cuh"
#include <iostream>
#include <chrono>
// #include <thread>
// #include <chrono>
using namespace std;
__host__ generator::generator(h_operator_t * parent, int32_t *src, size_t N):
parent(pare... | 4da6c61845d6823a53e2f97b9dfb4b5ab26cb2f0.cu | #include "generators.cuh"
#include "../buffer_manager.cuh"
#include <iostream>
#include <chrono>
// #include <thread>
// #include <chrono>
using namespace std;
__host__ generator::generator(h_operator_t * parent, int32_t *src, size_t N):
parent(parent), src(src), N(N){
// parent->open();
// cudaStr... |
7bdc56c6b0a32054ade28089302fe6bc79ae6d07.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#ifndef KD_TRAVERSE_CU
#define KD_TRAVERSE_CU
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
// includes, project
#include <helper_cuda.h>
// includes, kernels
#include "common_h... | 7bdc56c6b0a32054ade28089302fe6bc79ae6d07.cu |
#ifndef KD_TRAVERSE_CU
#define KD_TRAVERSE_CU
// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
// includes, project
#include <helper_cuda.h>
// includes, kernels
#include "common.cuh" //USE_TEX
#include "KdTraverse_kernel.cu"
////////////////////////////////////////... |
cf7863dcc58ea6866ad049d868f96ce6f33af232.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "hip/hip_runtime.h"
#include "kernels_hip.cuh"
namespace emida
{
template<typename T>
__global__ void prepare_pics(T* __restrict pic, const T* hanning_x, const T* hanning_y, const T* sums, size2_t size, size_t batch_size... | cf7863dcc58ea6866ad049d868f96ce6f33af232.cu | #include "cuda.h"
#include "cuda_runtime.h"
#include "kernels.cuh"
namespace emida
{
template<typename T>
__global__ void prepare_pics(T* __restrict pic, const T* hanning_x, const T* hanning_y, const T* sums, size2_t size, size_t batch_size)
{
size_t whole_x = blockIdx.x * blockDim.x + threadIdx.x;
size_t pic_x = ... |
24a79881cd346feac3b3abb4534a1a80cd3b2efe.hip | // !!! This is a file automatically generated by hipify!!!
// Copyright (c) 2015 Patrick Diehl
//
// Distributed under the Boost Software License, Version 1.0. (See accompanying
// file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
#include <hip/hip_runtime.h>
#include <iostream>
#include <cma... | 24a79881cd346feac3b3abb4534a1a80cd3b2efe.cu | // Copyright (c) 2015 Patrick Diehl
//
// Distributed under the Boost Software License, Version 1.0. (See accompanying
// file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
#include <cuda.h>
#include <iostream>
#include <cmath>
#include "opencl/benchmark_vector/timer.hpp"
#include "config.hp... |
4f32eac9a917bf79364ba1d087bb85acb140deac.hip | // !!! This is a file automatically generated by hipify!!!
/*****************************************
Emitting C Generated Code
*******************************************/
#include <string.h>
#include <stdlib.h>
#include "cuda_header.h"
#include <stdio.h>
#include <stdint.h>
#include "cublas_header.h"
#include <stdboo... | 4f32eac9a917bf79364ba1d087bb85acb140deac.cu | /*****************************************
Emitting C Generated Code
*******************************************/
#include <string.h>
#include <stdlib.h>
#include "cuda_header.h"
#include <stdio.h>
#include <stdint.h>
#include "cublas_header.h"
#include <stdbool.h>
/**************** Snippet ****************/
void Snipp... |
f2e5b0609cdc2897387ce6f0eb952777201677db.hip | // !!! This is a file automatically generated by hipify!!!
/***************************************************************************************************
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
*modification, a... | f2e5b0609cdc2897387ce6f0eb952777201677db.cu | /***************************************************************************************************
* Copyright (c) 2017-2020, 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... |
94a2be252ed76e1d6e8deec7a813802407353674.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int xdim0_PdV_kernel_predict;
int xdim0_PdV_kernel_predict_h = -1;
__constant__ int ydim0_PdV_kernel_predict;
int ydim0_PdV_kernel_predict_h = -1;
__constant__ int xdim1_PdV_kernel_pred... | 94a2be252ed76e1d6e8deec7a813802407353674.cu | //
// auto-generated by ops.py
//
__constant__ int xdim0_PdV_kernel_predict;
int xdim0_PdV_kernel_predict_h = -1;
__constant__ int ydim0_PdV_kernel_predict;
int ydim0_PdV_kernel_predict_h = -1;
__constant__ int xdim1_PdV_kernel_predict;
int xdim1_PdV_kernel_predict_h = -1;
__constant__ int ydim1_PdV_kernel_predict;
int... |
2a9a2b29b571a8450d8fd5ad8c68364f93652970.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright 2014-2015 NVIDIA Corporation. All rights reserved.
*
* Sample CUPTI app to demonstrate the usage of unified memory counter profiling
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <hip/hip_runtime.h>
#include <cupti.h>
#define CUPTI_... | 2a9a2b29b571a8450d8fd5ad8c68364f93652970.cu | /*
* Copyright 2014-2015 NVIDIA Corporation. All rights reserved.
*
* Sample CUPTI app to demonstrate the usage of unified memory counter profiling
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <cuda.h>
#include <cupti.h>
#define CUPTI_CALL(call) \
do { ... |
c44e1eab6a51ffe3491fff17c25f37125cc74aca.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
__global__ void innerToeplitzCyclicReductionKernel( double *a_d,
double *b_d,
double *c_d,
double *d_d,
... | c44e1eab6a51ffe3491fff17c25f37125cc74aca.cu |
__global__ void innerToeplitzCyclicReductionKernel( double *a_d,
double *b_d,
double *c_d,
double *d_d,
double *k1_d,
double *k2_d,
... |
fa7fb3bbf4375f8d8f5cf39ce5c017aa864cbb10.hip | // !!! This is a file automatically generated by hipify!!!
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// I... | fa7fb3bbf4375f8d8f5cf39ce5c017aa864cbb10.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
d29ef1f7db35207f8b6d4fcbd212063554b9c5c5.hip | // !!! This is a file automatically generated by hipify!!!
#include <sentinel.h>
#include "fileutils.cuh"
#include "dcat.cuh"
#include "dchgrp.cuh"
#include "dchgrp_getgrnam.cuh"
#include "dchmod.cuh"
#include "dchown.cuh"
#include "dchown_getpwnam_hip.cuh"
#include "dcmp_hip.cuh"
#include "dcp.cuh"
#include "dcp_isadi... | d29ef1f7db35207f8b6d4fcbd212063554b9c5c5.cu | #include <sentinel.h>
#include "fileutils.cuh"
#include "dcat.cuh"
#include "dchgrp.cuh"
#include "dchgrp_getgrnam.cuh"
#include "dchmod.cuh"
#include "dchown.cuh"
#include "dchown_getpwnam.cuh"
#include "dcmp.cuh"
#include "dcp.cuh"
#include "dcp_isadir.cuh"
#include "dgrep.cuh"
#include "dls.cuh"
#include "dmkdir.cuh... |
9252d1e43a25b1d94669941a1a101cc1204aeb99.hip | // !!! This is a file automatically generated by hipify!!!
/*
N-body code for CS 4380 / CS 5351
Copyright (c) 2019 Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is on... | 9252d1e43a25b1d94669941a1a101cc1204aeb99.cu | /*
N-body code for CS 4380 / CS 5351
Copyright (c) 2019 Texas State University. All rights reserved.
Redistribution in source or binary form, with or without modification,
is *not* permitted. Use in source and binary forms, with or without
modification, is only permitted for academic use in CS 4380 or CS 5351
at Texa... |
69fea8b8e4d7160b7e55d7c3d112f34ecb3daa6e.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 "uplo_acos.cu"
#include<chrono>
#include<iostream>
using namespac... | 69fea8b8e4d7160b7e55d7c3d112f34ecb3daa6e.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 "uplo_acos.cu"
#include<chrono>
#include<iostream>
using namespace std;
using namespace std::chrono;
int blocks_[20][2] = {{8,8},{16,16},{24,24}... |
0fdcbb0161ff975c94b7b8c6ddda0d01c174f227.hip | // !!! This is a file automatically generated by hipify!!!
/*******************************<GINKGO LICENSE>******************************
Copyright (c) 2017-2019, the Ginkgo authors
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the fol... | 0fdcbb0161ff975c94b7b8c6ddda0d01c174f227.cu | /*******************************<GINKGO LICENSE>******************************
Copyright (c) 2017-2019, 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... |
3a2002cdb5b27332b43b50ba17f675a66f9adec8.hip | // !!! This is a file automatically generated by hipify!!!
#include "CUAPI.h"
#if ( defined GPU && defined GRAVITY )
extern real (*d_Rho_Array_P )[ RHO_NXT*RHO_NXT*RHO_NXT ];
extern real (*d_Pot_Array_P_In )[ POT_NXT*POT_NXT*POT_NXT ];
extern real (*d_Pot_Array_P_Out)[ GRA_NXT*GRA_NXT*GRA_NXT ];
#ifdef UNSPLIT... | 3a2002cdb5b27332b43b50ba17f675a66f9adec8.cu | #include "CUAPI.h"
#if ( defined GPU && defined GRAVITY )
extern real (*d_Rho_Array_P )[ RHO_NXT*RHO_NXT*RHO_NXT ];
extern real (*d_Pot_Array_P_In )[ POT_NXT*POT_NXT*POT_NXT ];
extern real (*d_Pot_Array_P_Out)[ GRA_NXT*GRA_NXT*GRA_NXT ];
#ifdef UNSPLIT_GRAVITY
extern real (*d_Pot_Array_USG_G)[ USG_NXT_G*USG_NX... |
986a3e5fd5341d6278434f167e9be9933de7f865.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <hip/hip_runtime.h>
#include <time.h>
#include <sys/time.h>
#include "dproductkernel.h"
int main(int argc, char* argv[]) {
/* Initialize variables */
FILE *fp;
size_t size;
... | 986a3e5fd5341d6278434f167e9be9933de7f865.cu | #include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <cuda.h>
#include <time.h>
#include <sys/time.h>
#include "dproductkernel.h"
int main(int argc, char* argv[]) {
/* Initialize variables */
FILE *fp;
size_t size;
unsigned int rows= atoi(argv[3]);
unsigned int cols= at... |
f920ac8b460ac4d55a85b0a0af4a041f298eff52.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use,... | f920ac8b460ac4d55a85b0a0af4a041f298eff52.cu | /*
* Copyright 1993-2010 NVIDIA Corporation. All rights reserved.
*
* NVIDIA Corporation and its licensors retain all intellectual property and
* proprietary rights in and to this software and related documentation.
* Any use, reproduction, disclosure, or distribution of this software
* and related documentation... |
e996f2411eb6135b432ef6c3d2c6e4478f0db599.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "matrix_viz.h"
#include <stdio.h>
namespace dart {
// -=-=-=-=-=-=-=-=-=- kernels -=-=-=-=-=-=-=-=-=-
__global__ void gpu_visualizeMatrix(
const float * mxData,
const int mxCols,
const int mxRows,
uch... | e996f2411eb6135b432ef6c3d2c6e4478f0db599.cu | #include "matrix_viz.h"
#include <stdio.h>
namespace dart {
// -=-=-=-=-=-=-=-=-=- kernels -=-=-=-=-=-=-=-=-=-
__global__ void gpu_visualizeMatrix(
const float * mxData,
const int mxCols,
const int mxRows,
uchar3 * img,
const int width,
const int height,
const uchar3 zeroColor,
... |
2108d2ad11009a3bebdc0ddf64761bbe5d6ba528.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*
Lucas Tata / Salvatore Amico
High Performance Computing on GPUs
Final Project
Collaborative Filtering
GPU Implementation
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#inclu... | 2108d2ad11009a3bebdc0ddf64761bbe5d6ba528.cu | /*
Lucas Tata / Salvatore Amico
High Performance Computing on GPUs
Final Project
Collaborative Filtering
GPU Implementation
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#include <limits.h>
#include "../helper/util.h"
#include "../helper/wtime.h"
#define INPUT_SI... |
52661b9416486810f42124f5f82f7d4f882cefb4.hip | // !!! This is a file automatically generated by hipify!!!
#ifndef _EXP_KERNEL_
#define _EXP_KERNEL_
#include <hip/hip_runtime.h>
#include <hip/hip_runtime.h>
#include <stdio.h>
#include <math.h>
/*
* The actual kernel
*/
template <class T>
__global__ void expKernel(T * in, T * out, int n)
{
int index = threadId... | 52661b9416486810f42124f5f82f7d4f882cefb4.cu | #ifndef _EXP_KERNEL_
#define _EXP_KERNEL_
#include <cuda.h>
#include <cuda_runtime.h>
#include <stdio.h>
#include <math.h>
/*
* The actual kernel
*/
template <class T>
__global__ void expKernel(T * in, T * out, int n)
{
int index = threadIdx.x + blockIdx.x * blockDim.x;
if(index < n)
out[index] = ex... |
6af5fcc91a183a28f8f9b37fd3405eac0bf76673.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include "includes.h"
#define T_PER_BLOCK 16
#define MINF __int_as_float(0xff800000)
__global__ void resampleUCHAR4_Kernel(uchar4* d_output, unsigned int outputWidth, unsigned int outputHeight, const uchar4* d_input, unsigned... | 6af5fcc91a183a28f8f9b37fd3405eac0bf76673.cu | #include "includes.h"
#define T_PER_BLOCK 16
#define MINF __int_as_float(0xff800000)
__global__ void resampleUCHAR4_Kernel(uchar4* d_output, unsigned int outputWidth, unsigned int outputHeight, const uchar4* d_input, unsigned int inputWidth, unsigned int inputHeight)
{
const unsigned int x = blockIdx.x*blockDim.... |
fac8d576f8a86ec4106c84b9e53890c8aad2a95b.hip | // !!! This is a file automatically generated by hipify!!!
/*
* Copyright (c) 2019-2021, 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.o... | fac8d576f8a86ec4106c84b9e53890c8aad2a95b.cu | /*
* Copyright (c) 2019-2021, 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... |
d7b1409b63a9355b2e0a861854eab71b185250c9.hip | // !!! This is a file automatically generated by hipify!!!
// ----------------------------------------------------------------
// Gunrock -- Fast and Efficient GPU Graph Library
// ----------------------------------------------------------------
// This source code is distributed under the terms of LICENSE.TXT
// in th... | d7b1409b63a9355b2e0a861854eab71b185250c9.cu | // ----------------------------------------------------------------
// Gunrock -- Fast and Efficient GPU Graph Library
// ----------------------------------------------------------------
// This source code is distributed under the terms of LICENSE.TXT
// in the root directory of this source distribution.
// ----------... |
f6a9aa7baa993b3b70766fc88c14ed9c6c1957fb.hip | // !!! This is a file automatically generated by hipify!!!
#include <cfloat>
#include <chrono>
#include <hip/hip_runtime_api.h>
#include <iostream>
using namespace std;
///////////////////////////////////////////////////////////////////////////////////////////////////////////
hipError_t SAFE_CALL (hipError_t result)... | f6a9aa7baa993b3b70766fc88c14ed9c6c1957fb.cu | #include <cfloat>
#include <chrono>
#include <cuda_profiler_api.h>
#include <iostream>
using namespace std;
///////////////////////////////////////////////////////////////////////////////////////////////////////////
cudaError_t SAFE_CALL (cudaError_t result) {
if(result != cudaSuccess) {
printf("CUDA er... |
7cf486423193fd506748e107f08e2ba5284da128.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
#include <ATen/ATen.h>
#include <ATen/native/SortingUtils.h>
#include <assert.h>
#include <c10/macros/Macros.h>
#include <stdlib.h>
#include <ATen/hip/HIPApplyUtils.cuh>
#include <ATen/hip/detail/TensorInfo.cuh>
#include <THH/THHDev... | 7cf486423193fd506748e107f08e2ba5284da128.cu | #include <ATen/ATen.h>
#include <ATen/native/SortingUtils.h>
#include <assert.h>
#include <c10/macros/Macros.h>
#include <stdlib.h>
#include <ATen/cuda/CUDAApplyUtils.cuh>
#include <ATen/cuda/detail/TensorInfo.cuh>
#include <THC/THCDeviceUtils.cuh> // only for THCRoundUp?
#include <THC/THCNumerics.cuh>
#include <THC/TH... |
906db5df9ef2e7e372176a328a573935e562a565.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you... | 906db5df9ef2e7e372176a328a573935e562a565.cu | /*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, instal... |
26c9bcd9fbb7a8f581749c65f8a1fe3d9db06ac8.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
//
// auto-generated by ops.py
//
__constant__ int dims_initialise_chunk_kernel_z [3][2];
static int dims_initialise_chunk_kernel_z_h [3][2] = {0};
//user function
__device__
void initialise_chunk_kernel_z_gpu(ACC<double> &vertexz... | 26c9bcd9fbb7a8f581749c65f8a1fe3d9db06ac8.cu | //
// auto-generated by ops.py
//
__constant__ int dims_initialise_chunk_kernel_z [3][2];
static int dims_initialise_chunk_kernel_z_h [3][2] = {0};
//user function
__device__
void initialise_chunk_kernel_z_gpu(ACC<double> &vertexz,
const ACC<int> &zz,
ACC<double> &vertexdz) {
int z_min=field.z_min-2;
double ... |
86885d6c237518174597028fe8442f4fb3aea41e.hip | // !!! This is a file automatically generated by hipify!!!
#include "cudakernel/memory/gather_nd.h"
#include "cudakernel/common/divmod_fast.h"
#include "ppl/nn/common/tensor_shape.h"
#include "ppl/common/retcode.h"
#include "ppl/common/types.h"
#include <hip/hip_runtime.h>
#include <assert.h>
#include <vector>
templat... | 86885d6c237518174597028fe8442f4fb3aea41e.cu | #include "cudakernel/memory/gather_nd.h"
#include "cudakernel/common/divmod_fast.h"
#include "ppl/nn/common/tensor_shape.h"
#include "ppl/common/retcode.h"
#include "ppl/common/types.h"
#include <cuda_runtime.h>
#include <assert.h>
#include <vector>
template <typename T>
__global__ void ppl_cukernel_gather_nd(
int... |
ad2c853c5de5e34e88eeb327c0c9744c479b7f10.hip | // !!! This is a file automatically generated by hipify!!!
#include "hip/hip_runtime.h"
/* Copyright (c) 2016 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 ... | ad2c853c5de5e34e88eeb327c0c9744c479b7f10.cu | /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or... |
224d36cb2d71c10dfd07128261c1f23ff41a6800.hip | // !!! This is a file automatically generated by hipify!!!
/*
Defines the matrix operations for sequential dense with CUDA
*/
#include <petscpkg_version.h>
#define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1
#include <../src/mat/impls/dense/seq/dense.h> /*I "petscmat.h" I*/
#include <petsccublas.h>
/* cublas definiti... | 224d36cb2d71c10dfd07128261c1f23ff41a6800.cu | /*
Defines the matrix operations for sequential dense with CUDA
*/
#include <petscpkg_version.h>
#define PETSC_SKIP_IMMINTRIN_H_CUDAWORKAROUND 1
#include <../src/mat/impls/dense/seq/dense.h> /*I "petscmat.h" I*/
#include <petsccublas.h>
/* cublas definitions are here */
#include <petsc/private/cudavecimpl.h>
#if... |
9deb4b03f1e1785f6f8d5d0e86fd2820131df52e.hip | // !!! This is a file automatically generated by hipify!!!
#include <stdio.h>
#include <stdlib.h>
#include <string>
#include <chrono>
#include <time.h>
#include <iostream>
#include <cfloat>
#include <algorithm> // not sure if needed
//for CUDA garbage - maybe useful
#include <hip/hip_runtime.h>
//#define int LENGTH... | 9deb4b03f1e1785f6f8d5d0e86fd2820131df52e.cu | #include <stdio.h>
#include <stdlib.h>
#include <string>
#include <chrono>
#include <time.h>
#include <iostream>
#include <cfloat>
#include <algorithm> // not sure if needed
//for CUDA garbage - maybe useful
#include <cuda_runtime.h>
//#define int LENGTH 100 // length of data set - okay this doesnt work aparent... |
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