#include "kernels.hh"
#include "conv2d.hh"
#include "matmul.hh"
#include "sigmoid.hh"
#include "softmax.hh"
#include "relu.hh"
#include "sum.hh"
#include "update.hh"

namespace gpu
{


    /**
     * blockDim: number of threads in a block
     * gridDim: number of blocks in a grid
     * blockIdx: current block index in the grid
     * threadIdx: current thread index in the block
     *
     * call<NB_BLOCKS, NB_THREADS_PER_BLOCK>
     */

    kernel_f kernels_list[512] = {
        kernel_mat_mat_mul,
        kernel_mat_rvect_add,
        kernel_sigmoid,
        kernel_mse,
        kernel_softmax,
        kernel_log_softmax,
        kernel_softmax_cross_entropy,
        kernel_conv2d,
        kernel_relu,
        kernel_relu_leaky,
        kernel_tanh,
        kernel_mse_grad,
        kernel_sigmoid_grad,
        kernel_mat_mul_add,
        kernel_tmat_mat_mul,
        kernel_mat_tmat_mul,
        kernel_mat_sum_rows,
        kernel_mat_sum_cols,
        kernel_softmax_cross_entropy_grad,
        kernel_relu_grad,
        nullptr,//kernel_conv2d_bias_add,
        kernel_update,
        kernel_sigmoid_cross_entropy,
        kernel_sigmoid_cross_entropy_grad,
        kernel_conv2d_input_grad,
        kernel_conv2d_kernel_grad,
        kernel_argmax_acc,
        kernel_moment_update,
        kernel_moment_update2,
        kernel_adam_update,
        kernel_leaky_relu_grad,
        nullptr,//kernel_conv2d_bias_add_grad,
        kernel_tanh_grad,
        kernel_conv2d_transpose,
        kernel_conv2d_transpose_input_grad,
        kernel_conv2d_transpose_kernel_grad,
        kernel_add
    };

}

	.file	"tmpxft_00283063_00000000-6_kernels.cudafe1.cpp"
	.text
#APP

#NO_APP
	.type	_ZL26__cudaUnregisterBinaryUtilv, @function
_ZL26__cudaUnregisterBinaryUtilv:
.LFB2022:
	.cfi_startproc
	endbr64
	movq	_ZL20__cudaFatCubinHandle(%rip), %rdi
	jmp	__cudaUnregisterFatBinary@PLT
	.cfi_endproc
.LFE2022:
	.size	_ZL26__cudaUnregisterBinaryUtilv, .-_ZL26__cudaUnregisterBinaryUtilv
	.section	.text.startup,"ax",@progbits
	.type	_ZL24__sti____cudaRegisterAllv, @function
_ZL24__sti____cudaRegisterAllv:
.LFB2045:
	.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
.LFE2045:
	.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
	.globl	_ZN3gpu12kernels_listE
	.section	.data.rel,"aw"
	.align 32
	.type	_ZN3gpu12kernels_listE, @object
	.size	_ZN3gpu12kernels_listE, 4096
_ZN3gpu12kernels_listE:
	.quad	_ZN3gpu18kernel_mat_mat_mulEPN2rt4NodeE
	.quad	_ZN3gpu20kernel_mat_rvect_addEPN2rt4NodeE
	.quad	_ZN3gpu14kernel_sigmoidEPN2rt4NodeE
	.quad	_ZN3gpu10kernel_mseEPN2rt4NodeE
	.quad	_ZN3gpu14kernel_softmaxEPN2rt4NodeE
	.quad	_ZN3gpu18kernel_log_softmaxEPN2rt4NodeE
	.quad	_ZN3gpu28kernel_softmax_cross_entropyEPN2rt4NodeE
	.quad	_ZN3gpu13kernel_conv2dEPN2rt4NodeE
	.quad	_ZN3gpu11kernel_reluEPN2rt4NodeE
	.quad	_ZN3gpu17kernel_relu_leakyEPN2rt4NodeE
	.quad	_ZN3gpu11kernel_tanhEPN2rt4NodeE
	.quad	_ZN3gpu15kernel_mse_gradEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_sigmoid_gradEPN2rt4NodeE
	.quad	_ZN3gpu18kernel_mat_mul_addEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_tmat_mat_mulEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_mat_tmat_mulEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_mat_sum_rowsEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_mat_sum_colsEPN2rt4NodeE
	.quad	_ZN3gpu33kernel_softmax_cross_entropy_gradEPN2rt4NodeE
	.quad	_ZN3gpu16kernel_relu_gradEPN2rt4NodeE
	.quad	0
	.quad	_ZN3gpu13kernel_updateEPN2rt4NodeE
	.quad	_ZN3gpu28kernel_sigmoid_cross_entropyEPN2rt4NodeE
	.quad	_ZN3gpu33kernel_sigmoid_cross_entropy_gradEPN2rt4NodeE
	.quad	_ZN3gpu24kernel_conv2d_input_gradEPN2rt4NodeE
	.quad	_ZN3gpu25kernel_conv2d_kernel_gradEPN2rt4NodeE
	.quad	_ZN3gpu17kernel_argmax_accEPN2rt4NodeE
	.quad	_ZN3gpu20kernel_moment_updateEPN2rt4NodeE
	.quad	_ZN3gpu21kernel_moment_update2EPN2rt4NodeE
	.quad	_ZN3gpu18kernel_adam_updateEPN2rt4NodeE
	.quad	_ZN3gpu22kernel_leaky_relu_gradEPN2rt4NodeE
	.quad	0
	.quad	_ZN3gpu16kernel_tanh_gradEPN2rt4NodeE
	.quad	_ZN3gpu23kernel_conv2d_transposeEPN2rt4NodeE
	.quad	_ZN3gpu34kernel_conv2d_transpose_input_gradEPN2rt4NodeE
	.quad	_ZN3gpu35kernel_conv2d_transpose_kernel_gradEPN2rt4NodeE
	.quad	_ZN3gpu10kernel_addEPN2rt4NodeE
	.zero	3800
	.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 "kernels.hh"
#include "conv2d.hh"
#include "matmul.hh"
#include "sigmoid.hh"
#include "softmax.hh"
#include "relu.hh"
#include "sum.hh"
#include "update.hh"

namespace gpu
{


    /**
     * blockDim: number of threads in a block
     * gridDim: number of blocks in a grid
     * blockIdx: current block index in the grid
     * threadIdx: current thread index in the block
     *
     * call<NB_BLOCKS, NB_THREADS_PER_BLOCK>
     */

    kernel_f kernels_list[512] = {
        kernel_mat_mat_mul,
        kernel_mat_rvect_add,
        kernel_sigmoid,
        kernel_mse,
        kernel_softmax,
        kernel_log_softmax,
        kernel_softmax_cross_entropy,
        kernel_conv2d,
        kernel_relu,
        kernel_relu_leaky,
        kernel_tanh,
        kernel_mse_grad,
        kernel_sigmoid_grad,
        kernel_mat_mul_add,
        kernel_tmat_mat_mul,
        kernel_mat_tmat_mul,
        kernel_mat_sum_rows,
        kernel_mat_sum_cols,
        kernel_softmax_cross_entropy_grad,
        kernel_relu_grad,
        nullptr,//kernel_conv2d_bias_add,
        kernel_update,
        kernel_sigmoid_cross_entropy,
        kernel_sigmoid_cross_entropy_grad,
        kernel_conv2d_input_grad,
        kernel_conv2d_kernel_grad,
        kernel_argmax_acc,
        kernel_moment_update,
        kernel_moment_update2,
        kernel_adam_update,
        kernel_leaky_relu_grad,
        nullptr,//kernel_conv2d_bias_add_grad,
        kernel_tanh_grad,
        kernel_conv2d_transpose,
        kernel_conv2d_transpose_input_grad,
        kernel_conv2d_transpose_kernel_grad,
        kernel_add
    };

}

	.text
	.file	"kernels.hip"
	.type	_ZN3gpu12kernels_listE,@object  # @_ZN3gpu12kernels_listE
	.data
	.globl	_ZN3gpu12kernels_listE
	.p2align	4, 0x0
_ZN3gpu12kernels_listE:
	.quad	_ZN3gpu18kernel_mat_mat_mulEPN2rt4NodeE
	.quad	_ZN3gpu20kernel_mat_rvect_addEPN2rt4NodeE
	.quad	_ZN3gpu14kernel_sigmoidEPN2rt4NodeE
	.quad	_ZN3gpu10kernel_mseEPN2rt4NodeE
	.quad	_ZN3gpu14kernel_softmaxEPN2rt4NodeE
	.quad	_ZN3gpu18kernel_log_softmaxEPN2rt4NodeE
	.quad	_ZN3gpu28kernel_softmax_cross_entropyEPN2rt4NodeE
	.quad	_ZN3gpu13kernel_conv2dEPN2rt4NodeE
	.quad	_ZN3gpu11kernel_reluEPN2rt4NodeE
	.quad	_ZN3gpu17kernel_relu_leakyEPN2rt4NodeE
	.quad	_ZN3gpu11kernel_tanhEPN2rt4NodeE
	.quad	_ZN3gpu15kernel_mse_gradEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_sigmoid_gradEPN2rt4NodeE
	.quad	_ZN3gpu18kernel_mat_mul_addEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_tmat_mat_mulEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_mat_tmat_mulEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_mat_sum_rowsEPN2rt4NodeE
	.quad	_ZN3gpu19kernel_mat_sum_colsEPN2rt4NodeE
	.quad	_ZN3gpu33kernel_softmax_cross_entropy_gradEPN2rt4NodeE
	.quad	_ZN3gpu16kernel_relu_gradEPN2rt4NodeE
	.quad	0
	.quad	_ZN3gpu13kernel_updateEPN2rt4NodeE
	.quad	_ZN3gpu28kernel_sigmoid_cross_entropyEPN2rt4NodeE
	.quad	_ZN3gpu33kernel_sigmoid_cross_entropy_gradEPN2rt4NodeE
	.quad	_ZN3gpu24kernel_conv2d_input_gradEPN2rt4NodeE
	.quad	_ZN3gpu25kernel_conv2d_kernel_gradEPN2rt4NodeE
	.quad	_ZN3gpu17kernel_argmax_accEPN2rt4NodeE
	.quad	_ZN3gpu20kernel_moment_updateEPN2rt4NodeE
	.quad	_ZN3gpu21kernel_moment_update2EPN2rt4NodeE
	.quad	_ZN3gpu18kernel_adam_updateEPN2rt4NodeE
	.quad	_ZN3gpu22kernel_leaky_relu_gradEPN2rt4NodeE
	.quad	0
	.quad	_ZN3gpu16kernel_tanh_gradEPN2rt4NodeE
	.quad	_ZN3gpu23kernel_conv2d_transposeEPN2rt4NodeE
	.quad	_ZN3gpu34kernel_conv2d_transpose_input_gradEPN2rt4NodeE
	.quad	_ZN3gpu35kernel_conv2d_transpose_kernel_gradEPN2rt4NodeE
	.quad	_ZN3gpu10kernel_addEPN2rt4NodeE
	.zero	3800
	.size	_ZN3gpu12kernels_listE, 4096

	.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 _ZN3gpu18kernel_mat_mat_mulEPN2rt4NodeE
	.addrsig_sym _ZN3gpu20kernel_mat_rvect_addEPN2rt4NodeE
	.addrsig_sym _ZN3gpu14kernel_sigmoidEPN2rt4NodeE
	.addrsig_sym _ZN3gpu10kernel_mseEPN2rt4NodeE
	.addrsig_sym _ZN3gpu14kernel_softmaxEPN2rt4NodeE
	.addrsig_sym _ZN3gpu18kernel_log_softmaxEPN2rt4NodeE
	.addrsig_sym _ZN3gpu28kernel_softmax_cross_entropyEPN2rt4NodeE
	.addrsig_sym _ZN3gpu13kernel_conv2dEPN2rt4NodeE
	.addrsig_sym _ZN3gpu11kernel_reluEPN2rt4NodeE
	.addrsig_sym _ZN3gpu17kernel_relu_leakyEPN2rt4NodeE
	.addrsig_sym _ZN3gpu11kernel_tanhEPN2rt4NodeE
	.addrsig_sym _ZN3gpu15kernel_mse_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu19kernel_sigmoid_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu18kernel_mat_mul_addEPN2rt4NodeE
	.addrsig_sym _ZN3gpu19kernel_tmat_mat_mulEPN2rt4NodeE
	.addrsig_sym _ZN3gpu19kernel_mat_tmat_mulEPN2rt4NodeE
	.addrsig_sym _ZN3gpu19kernel_mat_sum_rowsEPN2rt4NodeE
	.addrsig_sym _ZN3gpu19kernel_mat_sum_colsEPN2rt4NodeE
	.addrsig_sym _ZN3gpu33kernel_softmax_cross_entropy_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu16kernel_relu_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu13kernel_updateEPN2rt4NodeE
	.addrsig_sym _ZN3gpu28kernel_sigmoid_cross_entropyEPN2rt4NodeE
	.addrsig_sym _ZN3gpu33kernel_sigmoid_cross_entropy_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu24kernel_conv2d_input_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu25kernel_conv2d_kernel_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu17kernel_argmax_accEPN2rt4NodeE
	.addrsig_sym _ZN3gpu20kernel_moment_updateEPN2rt4NodeE
	.addrsig_sym _ZN3gpu21kernel_moment_update2EPN2rt4NodeE
	.addrsig_sym _ZN3gpu18kernel_adam_updateEPN2rt4NodeE
	.addrsig_sym _ZN3gpu22kernel_leaky_relu_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu16kernel_tanh_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu23kernel_conv2d_transposeEPN2rt4NodeE
	.addrsig_sym _ZN3gpu34kernel_conv2d_transpose_input_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu35kernel_conv2d_transpose_kernel_gradEPN2rt4NodeE
	.addrsig_sym _ZN3gpu10kernel_addEPN2rt4NodeE
	.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
