//#include "../../include/layers/inner_product_layer.h"
//
//#include "../../include/util/math_function_ptr.h"
//
//namespace BigBang {
//
//template<typename dtype>
//void InnerProductLayer<dtype>::Forward_GPU(const Tensor<dtype>* bottom, Tensor<dtype>* top) {
//	bigbang_gpu_gemm<dtype>(false, false, bottom_row_, weights_column_, bottom_column_, 1.,
//		bottom->gpu_data(), weights_->gpu_data(), 0., top->mutable_gpu_data());
//}
//
//template<typename dtype>
//void InnerProductLayer<dtype>::Backward_GPU(const Tensor<dtype>* top, Tensor<dtype>* bottom) {
//	const dtype* bottom_data = bottom->gpu_data();
//	const dtype* top_diff_data = top->gpu_diff_data();
//	//get the delta
//	bigbang_gpu_gemm<dtype>(false, true, top_row_, weights_column, top_column_, 1., top_diff_data,
//		weights_->gpu_data(), 0, bottom->mutable_gpu_diff_data());
//	UpdateParams_GPU(bottom_data, top_diff_data);
//}
//
//template<typename dtype>
//void InnerProductLayer<dtype>::UpdateParams_GPU(const dtype* bottom_data, const dtype* delta) {
//	//update the biases
//	if (use_biases_) {
//		dtype* biases_mutable_diff_data = biases_->mutable_gpu_data();
//		bigbang_gpu_column_sum_plus(delta, bottom_row_, biases_row_, biases_mutable_diff_data);
//		bigbang_gpu_minus(biases_->gpu_data(), biases_mutable_diff_data, biases_row_, alpha_ / bottom_row_,
//			biases_->mutable_gpu_data());
//	}
//
//	//update the weights
//	dtype* weights_diff_data = weights_->mutable_gpu_diff_data();
//	cudaMemset(weights_diff_data, 0, sizeof(dtype)*weights_row_*weights_column_);
//	/*bigbang_cpu_gemm(bottom_data, bottom_row_, bottom_column_, true, delta, top_row_, top_column_,
//		false, alpha_ / bottom_row_, (dtype*)nullptr, 0, 0, false, weights_diff_data);*/
//	bigbang_gpu_gemm<dtype>(true, false, bottom_row_, top_column_, bottom_column_, alpha_ / bottom_row_,
//		bottom_data, delta, 0, weights_diff_data);
//	bigbang_gpu_minus(weights_->gpu_data(), weights_diff_data, weights_row_*weights_column_, 
//		static_cast<dtype>(1.0), weights_->mutable_gpu_data());
//}
//
//
//
//}
	.file	"tmpxft_0031268b_00000000-6_inner_product_layer.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 "../../include/layers/inner_product_layer.h"
//
//#include "../../include/util/math_function_ptr.h"
//
//namespace BigBang {
//
//template<typename dtype>
//void InnerProductLayer<dtype>::Forward_GPU(const Tensor<dtype>* bottom, Tensor<dtype>* top) {
//	bigbang_gpu_gemm<dtype>(false, false, bottom_row_, weights_column_, bottom_column_, 1.,
//		bottom->gpu_data(), weights_->gpu_data(), 0., top->mutable_gpu_data());
//}
//
//template<typename dtype>
//void InnerProductLayer<dtype>::Backward_GPU(const Tensor<dtype>* top, Tensor<dtype>* bottom) {
//	const dtype* bottom_data = bottom->gpu_data();
//	const dtype* top_diff_data = top->gpu_diff_data();
//	//get the delta
//	bigbang_gpu_gemm<dtype>(false, true, top_row_, weights_column, top_column_, 1., top_diff_data,
//		weights_->gpu_data(), 0, bottom->mutable_gpu_diff_data());
//	UpdateParams_GPU(bottom_data, top_diff_data);
//}
//
//template<typename dtype>
//void InnerProductLayer<dtype>::UpdateParams_GPU(const dtype* bottom_data, const dtype* delta) {
//	//update the biases
//	if (use_biases_) {
//		dtype* biases_mutable_diff_data = biases_->mutable_gpu_data();
//		bigbang_gpu_column_sum_plus(delta, bottom_row_, biases_row_, biases_mutable_diff_data);
//		bigbang_gpu_minus(biases_->gpu_data(), biases_mutable_diff_data, biases_row_, alpha_ / bottom_row_,
//			biases_->mutable_gpu_data());
//	}
//
//	//update the weights
//	dtype* weights_diff_data = weights_->mutable_gpu_diff_data();
//	cudaMemset(weights_diff_data, 0, sizeof(dtype)*weights_row_*weights_column_);
//	/*bigbang_cpu_gemm(bottom_data, bottom_row_, bottom_column_, true, delta, top_row_, top_column_,
//		false, alpha_ / bottom_row_, (dtype*)nullptr, 0, 0, false, weights_diff_data);*/
//	bigbang_gpu_gemm<dtype>(true, false, bottom_row_, top_column_, bottom_column_, alpha_ / bottom_row_,
//		bottom_data, delta, 0, weights_diff_data);
//	bigbang_gpu_minus(weights_->gpu_data(), weights_diff_data, weights_row_*weights_column_, 
//		static_cast<dtype>(1.0), weights_->mutable_gpu_data());
//}
//
//
//
//}
	.text
	.file	"inner_product_layer.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
