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DML_LOCAL_RESPONSE_NORMALIZATION_GRAD_OPERATOR_DESC
構造体サイズ=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 | 型 | サイズ | x64 | x86 | 説明 |
|---|---|---|---|---|---|
| InputTensor | DML_TENSOR_DESC* | 8/4 | +0 | +0 | LRN順方向の入力値を保持する入力テンソルへのポインタ。 |
| InputGradientTensor | DML_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。 |
| OutputGradientTensor | DML_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。 |
| CrossChannel | BOOL | 4 | +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。 |
| LocalSize | DWORD | 4 | +28 | +16 | 正規化に用いる近傍ウィンドウのサイズ。 |
| Alpha | FLOAT | 4 | +32 | +20 | 正規化のスケール係数(単精度)。 |
| Beta | FLOAT | 4 | +36 | +24 | 正規化の指数(べき乗)係数(単精度)。 |
| Bias | FLOAT | 4 | +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 Structureimport 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: float32struct 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