// Note: errors in this file will appear on the wrong line, since we copy another header file
//       in to provide some utility functions (the include paths in Jitify are somewhat unreliable)

template<typename Destination, typename LHS, typename RHS>
__global__ void addArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] + rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void addArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] + rhs;
	// printf("%d + %d = %d\n", lhs[kernelIndex], rhs, dst[kernelIndex]);
	}
}

template<typename Destination, typename LHS, typename RHS>
__global__ void addArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs + rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void subArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] - rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void subArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs - rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void subArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] - rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void mulArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] * rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void mulArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs * rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void mulArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] * rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void divArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] / rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void divArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs / rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void divArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] / rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] < rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs < rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] < rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] > rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs > rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] > rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] <= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] <= rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs <= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] >= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs,
												RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs >= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs,
												RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] >= rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] == rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs,
												RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs == rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs,
												RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] == rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseNotEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] != rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseNotEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs,
												   RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs != rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseNotEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs,
												   RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] != rhs; }
}

	.file	"tmpxft_00376d83_00000000-6_arithmetic.cudafe1.cpp"
	.text
#APP

#NO_APP
	.type	_ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2070:
	.cfi_startproc
	endbr64
	movq	_ZL20__cudaFatCubinHandle(%rip), %rdi
	jmp	__cudaUnregisterFatBinary@PLT
	.cfi_endproc
.LFE2070:
	.size	_ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv
	.section	.text.startup,"ax",@progbits
	.type	_ZL24__sti____cudaRegisterAllv, @function
_ZL24__sti____cudaRegisterAllv:
.LFB2093:
	.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
.LFE2093:
	.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>
// Note: errors in this file will appear on the wrong line, since we copy another header file
//       in to provide some utility functions (the include paths in Jitify are somewhat unreliable)

template<typename Destination, typename LHS, typename RHS>
__global__ void addArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] + rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void addArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] + rhs;
	// printf("%d + %d = %d\n", lhs[kernelIndex], rhs, dst[kernelIndex]);
	}
}

template<typename Destination, typename LHS, typename RHS>
__global__ void addArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs + rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void subArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] - rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void subArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs - rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void subArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] - rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void mulArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] * rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void mulArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs * rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void mulArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] * rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void divArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] / rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void divArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs / rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void divArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] / rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] < rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs < rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] < rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] > rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs > rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] > rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] <= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs, RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] <= rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void lessThanEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs <= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] >= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs,
												RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs >= rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void greaterThanEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs,
												RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] >= rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] == rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs,
												RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs == rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs,
												RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] == rhs; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseNotEqualArrays(size_t elements, Destination *dst, LHS *lhs, RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] != rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseNotEqualArraysScalarLhs(size_t elements, Destination *dst, LHS lhs,
												   RHS *rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs != rhs[kernelIndex]; }
}

template<typename Destination, typename LHS, typename RHS>
__global__ void elementWiseNotEqualArraysScalarRhs(size_t elements, Destination *dst, LHS *lhs,
												   RHS rhs) {
	const size_t kernelIndex = blockDim.x * blockIdx.x + threadIdx.x;
	if (kernelIndex < elements) { dst[kernelIndex] = lhs[kernelIndex] != rhs; }
}

	.text
	.file	"arithmetic.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
