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

__constant__ int d_m[6];

__global__ void convolution(int *N,int *P,int maskwidth,int width)
{
    int i =blockIdx.x*blockDim.x+ threadIdx.x;
	int pvalue=0;
	int startpt=i-(maskwidth/2);

	for(int j=0;j<maskwidth;j++)
	{
          if(startpt+j >=0 && startpt+j<width)
		{
              pvalue+=N[startpt+j]*d_m[j];
		}
	}
	P[i]=pvalue;
}
 
int main()   
{
       int i,n1=6,mw=3,n[6]={1,2,3,4,5,6},m[3]={1,2,3},p[6],*n_d,*p_d;
       int size=sizeof(int)*n1;

	   printf(" ORIGINAL ARRAY \n");
	   for(i=0;i<6;i++)
	       printf("%d \t",n[i]);

	   printf("\n MASK ARRAY \n");
	   for(i=0;i<3;i++)
	       printf("%d \t",m[i]);

	cudaMalloc((void**)&n_d,size);
       cudaMalloc((void**)&p_d,size);
       cudaMemcpy(n_d,n,size,cudaMemcpyHostToDevice);
               cudaMemcpyToSymbol(d_m,m,size);

		//cudaMemcpy(p_d,p,size,cudaMemcpyHostToDevice);

		convolution<<<1,n1>>>(n_d,p_d,mw,n1); 
        cudaMemcpy(p,p_d,size,cudaMemcpyDeviceToHost);

		printf("\n Array after convolution is:\n");

        for(i=0;i<n1;i++)
	       printf("%d \t",p[i]);

        cudaFree(n_d);
		cudaFree(d_m);
		cudaFree(p_d);
		getch();
		return 0;
}
*/

/* OUTPUT -

 ORIGINAL ARRAY
1       2       3       4       5       6
 MASK ARRAY
1       2       3
 Array after convolution is:
8       14      20      26      32      17


*/

	.file	"tmpxft_002fa8ad_00000000-6_Convolution_Constant.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 <conio.h>
#include <stdio.h>

__constant__ int d_m[6];

__global__ void convolution(int *N,int *P,int maskwidth,int width)
{
    int i =blockIdx.x*blockDim.x+ threadIdx.x;
	int pvalue=0;
	int startpt=i-(maskwidth/2);

	for(int j=0;j<maskwidth;j++)
	{
          if(startpt+j >=0 && startpt+j<width)
		{
              pvalue+=N[startpt+j]*d_m[j];
		}
	}
	P[i]=pvalue;
}
 
int main()   
{
       int i,n1=6,mw=3,n[6]={1,2,3,4,5,6},m[3]={1,2,3},p[6],*n_d,*p_d;
       int size=sizeof(int)*n1;

	   printf(" ORIGINAL ARRAY \n");
	   for(i=0;i<6;i++)
	       printf("%d \t",n[i]);

	   printf("\n MASK ARRAY \n");
	   for(i=0;i<3;i++)
	       printf("%d \t",m[i]);

	cudaMalloc((void**)&n_d,size);
       cudaMalloc((void**)&p_d,size);
       cudaMemcpy(n_d,n,size,cudaMemcpyHostToDevice);
               cudaMemcpyToSymbol(d_m,m,size);

		//cudaMemcpy(p_d,p,size,cudaMemcpyHostToDevice);

		convolution<<<1,n1>>>(n_d,p_d,mw,n1); 
        cudaMemcpy(p,p_d,size,cudaMemcpyDeviceToHost);

		printf("\n Array after convolution is:\n");

        for(i=0;i<n1;i++)
	       printf("%d \t",p[i]);

        cudaFree(n_d);
		cudaFree(d_m);
		cudaFree(p_d);
		getch();
		return 0;
}
*/

/* OUTPUT -

 ORIGINAL ARRAY
1       2       3       4       5       6
 MASK ARRAY
1       2       3
 Array after convolution is:
8       14      20      26      32      17


*/

	.text
	.file	"Convolution_Constant.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
