/*#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <iostream>

#define threads 1024
#define blocks 1024
#define size blocks*threads


//Do not interchange datatypes this ain't python...

//an example performing reduction operationn
__global__ void kernel(unsigned int* d_in, unsigned int* d_0)
{
	unsigned int myId = threadIdx.x + blockIdx.x*blockDim.x;
	int tid = threadIdx.x;

	extern __shared__ unsigned int sData[];
	sData[tid] = d_in[myId];//cop all data to shared memory... faster than global
	__syncthreads();

	for (unsigned int s = blockDim.x / 2; s > 0; s >>= 1)
	{
		if (tid < s)
			sData[tid] += sData[tid+s];
		__syncthreads();
	}
	unsigned int count = 0;
	if (tid==0) {
		d_0[blockIdx.x]=sData[tid];//data back to globbal, this is a partial sum yet to be calculated at
	}
	__syncthreads();
	
		
}


void main()
{
	unsigned int* d_arr;
	unsigned int* d_0;
	
	unsigned int* h_arr = (unsigned int*)malloc(sizeof(unsigned int)*size);
	unsigned int* h_0 = (unsigned int*)malloc(sizeof(unsigned int)*threads);

	unsigned int count = 0;
	for (unsigned int i = 0; i < size; i++)
	{
		h_arr[i] = rand()%246;
		count += h_arr[i];
	}
	//std::cout << count;
	cudaMalloc(&d_arr, size*sizeof(unsigned int));
	cudaMalloc(&d_0, threads*sizeof(unsigned int));
	cudaMemcpy(d_arr,h_arr,sizeof(unsigned int)*size,cudaMemcpyHostToDevice);
	kernel << <blocks, threads,sizeof(unsigned int)*threads >> >(d_arr,d_0);
	cudaMemcpy(h_0,d_0,sizeof(unsigned int)*threads,cudaMemcpyDeviceToHost);
	unsigned int newCount = 0;
	for (unsigned int i = 0; i < threads; i++)
	{
		newCount+= h_0[i];
	}

	if (newCount == count)
		std::cout << "True\n";
	else
		std::cout << "false\n";

	cudaFree(d_arr);
	cudaFree(d_0);
	free(h_arr);
	free(h_0);
	system("pause");
}
*/
	.file	"tmpxft_003568f0_00000000-6_reductionExample.cudafe1.cpp"
	.text
#APP

#NO_APP
	.type	_ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2010:
	.cfi_startproc
	endbr64
	movq	_ZL20__cudaFatCubinHandle(%rip), %rdi
	jmp	__cudaUnregisterFatBinary@PLT
	.cfi_endproc
.LFE2010:
	.size	_ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv
	.section	.text.startup,"ax",@progbits
	.type	_ZL24__sti____cudaRegisterAllv, @function
_ZL24__sti____cudaRegisterAllv:
.LFB2033:
	.cfi_startproc
	endbr64
	pushq	%rax
	.cfi_def_cfa_offset 16
	leaq	_ZL15__fatDeviceText(%rip), %rdi
	call	__cudaRegisterFatBinary@PLT
	movq	%rax, %rdi
	movq	%rax, _ZL20__cudaFatCubinHandle(%rip)
	call	__cudaRegisterFatBinaryEnd@PLT
	leaq	_ZL26__cudaUnregisterBinaryUtilv(%rip), %rdi
	popq	%rdx
	.cfi_def_cfa_offset 8
	jmp	atexit@PLT
	.cfi_endproc
.LFE2033:
	.size	_ZL24__sti____cudaRegisterAllv, .-_ZL24__sti____cudaRegisterAllv
	.section	.init_array,"aw"
	.align 8
	.quad	_ZL24__sti____cudaRegisterAllv
	.section	.nvFatBinSegment,"aw"
	.align 8
	.type	_ZL15__fatDeviceText, @object
	.size	_ZL15__fatDeviceText, 24
_ZL15__fatDeviceText:
	.long	1180844977
	.long	1
	.quad	fatbinData
	.quad	0
	.local	_ZL20__cudaFatCubinHandle
	.comm	_ZL20__cudaFatCubinHandle,8,8
	.ident	"GCC: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0"
	.section	.note.GNU-stack,"",@progbits
	.section	.note.gnu.property,"a"
	.align 8
	.long	1f - 0f
	.long	4f - 1f
	.long	5
0:
	.string	"GNU"
1:
	.align 8
	.long	0xc0000002
	.long	3f - 2f
2:
	.long	0x3
3:
	.align 8
4:


#include <hip/hip_runtime.h>
/*#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include <stdio.h>
#include <iostream>

#define threads 1024
#define blocks 1024
#define size blocks*threads


//Do not interchange datatypes this ain't python...

//an example performing reduction operationn
__global__ void kernel(unsigned int* d_in, unsigned int* d_0)
{
	unsigned int myId = threadIdx.x + blockIdx.x*blockDim.x;
	int tid = threadIdx.x;

	extern __shared__ unsigned int sData[];
	sData[tid] = d_in[myId];//cop all data to shared memory... faster than global
	__syncthreads();

	for (unsigned int s = blockDim.x / 2; s > 0; s >>= 1)
	{
		if (tid < s)
			sData[tid] += sData[tid+s];
		__syncthreads();
	}
	unsigned int count = 0;
	if (tid==0) {
		d_0[blockIdx.x]=sData[tid];//data back to globbal, this is a partial sum yet to be calculated at
	}
	__syncthreads();
	
		
}


void main()
{
	unsigned int* d_arr;
	unsigned int* d_0;
	
	unsigned int* h_arr = (unsigned int*)malloc(sizeof(unsigned int)*size);
	unsigned int* h_0 = (unsigned int*)malloc(sizeof(unsigned int)*threads);

	unsigned int count = 0;
	for (unsigned int i = 0; i < size; i++)
	{
		h_arr[i] = rand()%246;
		count += h_arr[i];
	}
	//std::cout << count;
	cudaMalloc(&d_arr, size*sizeof(unsigned int));
	cudaMalloc(&d_0, threads*sizeof(unsigned int));
	cudaMemcpy(d_arr,h_arr,sizeof(unsigned int)*size,cudaMemcpyHostToDevice);
	kernel << <blocks, threads,sizeof(unsigned int)*threads >> >(d_arr,d_0);
	cudaMemcpy(h_0,d_0,sizeof(unsigned int)*threads,cudaMemcpyDeviceToHost);
	unsigned int newCount = 0;
	for (unsigned int i = 0; i < threads; i++)
	{
		newCount+= h_0[i];
	}

	if (newCount == count)
		std::cout << "True\n";
	else
		std::cout << "false\n";

	cudaFree(d_arr);
	cudaFree(d_0);
	free(h_arr);
	free(h_0);
	system("pause");
}
*/
	.text
	.file	"reductionExample.hip"
	.type	__hip_cuid_,@object             # @__hip_cuid_
	.bss
	.globl	__hip_cuid_
__hip_cuid_:
	.byte	0                               # 0x0
	.size	__hip_cuid_, 1

	.ident	"AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)"
	.section	".note.GNU-stack","",@progbits
	.addrsig
	.addrsig_sym __hip_cuid_

	.text
	.p2alignl 7, 3214868480
	.fill 96, 4, 3214868480
	.type	__hip_cuid_,@object             ; @__hip_cuid_
	.section	.bss,"aw",@nobits
	.globl	__hip_cuid_
__hip_cuid_:
	.byte	0                               ; 0x0
	.size	__hip_cuid_, 1

	.ident	"AMD clang version 18.0.0git (https://github.com/RadeonOpenCompute/llvm-project roc-6.3.2 25012 e5bf7e55c91490b07c49d8960fa7983d864936c4)"
	.section	".note.GNU-stack","",@progbits
	.addrsig
	.addrsig_sym __hip_cuid_
	.amdgcn_target "amdgcn-amd-amdhsa--gfx1100"
	.amdgpu_metadata
---
amdhsa.kernels:  []
amdhsa.target:   amdgcn-amd-amdhsa--gfx1100
amdhsa.version:
  - 1
  - 2
...

	.end_amdgpu_metadata
