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DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC

構造体
サイズx64: 48 バイト / x86: 32 バイト

サイズ=各フィールドのバイト数(x64/x86 で異なる場合は x64/x86 と併記)。x64/x86 列=フィールドのバイトオフセット(HSPで dupptr / lpoke / wpoke 等に使用)。

フィールド

フィールドサイズx64x86説明
InputTensorDML_TENSOR_DESC*8/4+0+0LRN順方向の入力値を保持する入力テンソルへのポインタ。
InputGradientTensorDML_TENSOR_DESC*8/4+8+4上流から逆伝播してきた勾配を保持する入力テンソルへのポインタ。
OutputGradientTensorDML_TENSOR_DESC*8/4+16+8入力に対する勾配を格納する出力テンソルへのポインタ。
CrossChannelBOOL4+24+12チャネル間正規化を行うか(TRUE)、チャネル内で行うか(FALSE)を示すフラグ。
LocalSizeDWORD4+28+16正規化に用いる近傍ウィンドウのサイズ。
AlphaFLOAT4+32+20正規化のスケール係数(単精度)。
BetaFLOAT4+36+24正規化の指数(べき乗)係数(単精度)。
BiasFLOAT4+40+28正規化分母に加えるバイアス定数(単精度)。

各言語での定義

#include <windows.h>

// DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC  (x64 48 / x86 32 バイト)
typedef struct DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC {
    DML_TENSOR_DESC* InputTensor;
    DML_TENSOR_DESC* InputGradientTensor;
    DML_TENSOR_DESC* OutputGradientTensor;
    BOOL CrossChannel;
    DWORD LocalSize;
    FLOAT Alpha;
    FLOAT Beta;
    FLOAT Bias;
} DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC;
using System;
using System.Runtime.InteropServices;

[StructLayout(LayoutKind.Sequential, CharSet = CharSet.Unicode)]
public struct DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC
{
    public IntPtr InputTensor;
    public IntPtr InputGradientTensor;
    public IntPtr OutputGradientTensor;
    [MarshalAs(UnmanagedType.Bool)] public bool CrossChannel;
    public uint LocalSize;
    public float Alpha;
    public float Beta;
    public float Bias;
}
Imports System.Runtime.InteropServices

<StructLayout(LayoutKind.Sequential, CharSet:=CharSet.Unicode)>
Public Structure DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC
    Public InputTensor As IntPtr
    Public InputGradientTensor As IntPtr
    Public OutputGradientTensor As IntPtr
    <MarshalAs(UnmanagedType.Bool)> Public CrossChannel As Boolean
    Public LocalSize As UInteger
    Public Alpha As Single
    Public Beta As Single
    Public Bias As Single
End Structure
import ctypes
from ctypes import wintypes

class DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC(ctypes.Structure):
    _fields_ = [
        ("InputTensor", ctypes.c_void_p),
        ("InputGradientTensor", ctypes.c_void_p),
        ("OutputGradientTensor", ctypes.c_void_p),
        ("CrossChannel", wintypes.BOOL),
        ("LocalSize", wintypes.DWORD),
        ("Alpha", ctypes.c_float),
        ("Beta", ctypes.c_float),
        ("Bias", ctypes.c_float),
    ]
#[repr(C)]
pub struct DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC {
    pub InputTensor: *mut core::ffi::c_void,
    pub InputGradientTensor: *mut core::ffi::c_void,
    pub OutputGradientTensor: *mut core::ffi::c_void,
    pub CrossChannel: i32,
    pub LocalSize: u32,
    pub Alpha: f32,
    pub Beta: f32,
    pub Bias: f32,
}
import "golang.org/x/sys/windows"

type DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC struct {
	InputTensor uintptr
	InputGradientTensor uintptr
	OutputGradientTensor uintptr
	CrossChannel int32
	LocalSize uint32
	Alpha float32
	Beta float32
	Bias float32
}
type
  DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC = record
    InputTensor: Pointer;
    InputGradientTensor: Pointer;
    OutputGradientTensor: Pointer;
    CrossChannel: BOOL;
    LocalSize: DWORD;
    Alpha: Single;
    Beta: Single;
    Bias: Single;
  end;
const DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC = extern struct {
    InputTensor: ?*anyopaque,
    InputGradientTensor: ?*anyopaque,
    OutputGradientTensor: ?*anyopaque,
    CrossChannel: i32,
    LocalSize: u32,
    Alpha: f32,
    Beta: f32,
    Bias: f32,
};
type
  DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC {.bycopy.} = object
    InputTensor: pointer
    InputGradientTensor: pointer
    OutputGradientTensor: pointer
    CrossChannel: int32
    LocalSize: uint32
    Alpha: float32
    Beta: float32
    Bias: float32
struct DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC
{
    void* InputTensor;
    void* InputGradientTensor;
    void* OutputGradientTensor;
    int CrossChannel;
    uint LocalSize;
    float Alpha;
    float Beta;
    float Bias;
}

HSP用 定義

HSP3.7/3.8 は構造体機能が無いため4byte整数配列(dim)+peek/poke で操作(32/64bitでサイズ・位置が異なる場合はタブで分割)。IronHSP は NSTRUCT(#defstruct/stdim/->)で32/64bit共通。

; HSP3.7/3.8 は構造体機能が無いため、4byte整数の配列変数で操作します。(x86 レイアウト)
; DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC サイズ: 32 バイト(x86)
dim st, 8    ; 4byte整数×8(構造体サイズ 32 / 4 切り上げ)
; InputTensor : DML_TENSOR_DESC* (+0, 4byte)  varptr(st)+0 を基点に操作(4byte:入れ子/配列)
; InputGradientTensor : DML_TENSOR_DESC* (+4, 4byte)  varptr(st)+4 を基点に操作(4byte:入れ子/配列)
; OutputGradientTensor : DML_TENSOR_DESC* (+8, 4byte)  varptr(st)+8 を基点に操作(4byte:入れ子/配列)
; CrossChannel : BOOL (+12, 4byte)  st.3 = 値  /  値 = st.3   (lpoke/lpeek も可)
; LocalSize : DWORD (+16, 4byte)  st.4 = 値  /  値 = st.4   (lpoke/lpeek も可)
; Alpha : FLOAT (+20, 4byte)  st.5 = 値  /  値 = st.5   (lpoke/lpeek も可)
; Beta : FLOAT (+24, 4byte)  st.6 = 値  /  値 = st.6   (lpoke/lpeek も可)
; Bias : FLOAT (+28, 4byte)  st.7 = 値  /  値 = st.7   (lpoke/lpeek も可)
; ※4byte境界の整数は添字 st.N(N=オフセット/4)で読み書き可。それ以外は peek/poke 系を使用。
; HSP3.7/3.8 は構造体機能が無いため、4byte整数の配列変数で操作します。(x64 レイアウト)
; DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC サイズ: 48 バイト(x64)
dim st, 12    ; 4byte整数×12(構造体サイズ 48 / 4 切り上げ)
; InputTensor : DML_TENSOR_DESC* (+0, 8byte)  varptr(st)+0 を基点に操作(8byte:入れ子/配列)
; InputGradientTensor : DML_TENSOR_DESC* (+8, 8byte)  varptr(st)+8 を基点に操作(8byte:入れ子/配列)
; OutputGradientTensor : DML_TENSOR_DESC* (+16, 8byte)  varptr(st)+16 を基点に操作(8byte:入れ子/配列)
; CrossChannel : BOOL (+24, 4byte)  st.6 = 値  /  値 = st.6   (lpoke/lpeek も可)
; LocalSize : DWORD (+28, 4byte)  st.7 = 値  /  値 = st.7   (lpoke/lpeek も可)
; Alpha : FLOAT (+32, 4byte)  st.8 = 値  /  値 = st.8   (lpoke/lpeek も可)
; Beta : FLOAT (+36, 4byte)  st.9 = 値  /  値 = st.9   (lpoke/lpeek も可)
; Bias : FLOAT (+40, 4byte)  st.10 = 値  /  値 = st.10   (lpoke/lpeek も可)
; ※4byte境界の整数は添字 st.N(N=オフセット/4)で読み書き可。それ以外は peek/poke 系を使用。
; IronHSP は NSTRUCT(構造体)をサポート。32bit/64bit どちらでも同じコードで動作します。
#defstruct global DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC
    #field intptr InputTensor
    #field intptr InputGradientTensor
    #field intptr OutputGradientTensor
    #field bool CrossChannel
    #field int LocalSize
    #field float Alpha
    #field float Beta
    #field float Bias
#endstruct

stdim st, DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC        ; NSTRUCT 変数を確保
st->CrossChannel = 100
mes "CrossChannel=" + st->CrossChannel