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DML_GRU_OPERATOR_DESC

構造体
サイズx64: 88 バイト / x86: 48 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+0演算子の入力テンソルを記述するDML_TENSOR_DESCへのポインタ。
WeightTensorDML_TENSOR_DESC*8/4+8+4入力に乗じる重み行列を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。
RecurrenceTensorDML_TENSOR_DESC*8/4+16+8再帰結合に用いる重み行列を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。
BiasTensorDML_TENSOR_DESC*8/4+24+12各要素に加算するバイアス値を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。省略可。
HiddenInitTensorDML_TENSOR_DESC*8/4+32+16隠れ状態の初期値を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。省略可。
SequenceLengthsTensorDML_TENSOR_DESC*8/4+40+20各バッチの有効シーケンス長を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。
OutputSequenceTensorDML_TENSOR_DESC*8/4+48+24各タイムステップの出力を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。省略可。
OutputSingleTensorDML_TENSOR_DESC*8/4+56+28最終タイムステップの出力(単一)を保持するテンソルを記述するDML_TENSOR_DESCへのポインタ。省略可。
ActivationDescCountDWORD4+64+32ActivationDescsが指す活性化関数記述子の個数。
ActivationDescsDML_OPERATOR_DESC*8/4+72+36ゲートごとに適用する活性化関数を並べたDML_OPERATOR_DESC配列へのポインタ。
DirectionDML_RECURRENT_NETWORK_DIRECTION4+80+40再帰処理の方向(順方向・逆方向・双方向)を指定するDML_RECURRENT_NETWORK_DIRECTION値。
LinearBeforeResetBOOL4+84+44リセットゲートを行列積の前に適用するかを示すBOOL。

各言語での定義

#include <windows.h>

// DML_GRU_OPERATOR_DESC  (x64 88 / x86 48 バイト)
typedef struct DML_GRU_OPERATOR_DESC {
    DML_TENSOR_DESC* InputTensor;
    DML_TENSOR_DESC* WeightTensor;
    DML_TENSOR_DESC* RecurrenceTensor;
    DML_TENSOR_DESC* BiasTensor;
    DML_TENSOR_DESC* HiddenInitTensor;
    DML_TENSOR_DESC* SequenceLengthsTensor;
    DML_TENSOR_DESC* OutputSequenceTensor;
    DML_TENSOR_DESC* OutputSingleTensor;
    DWORD ActivationDescCount;
    DML_OPERATOR_DESC* ActivationDescs;
    DML_RECURRENT_NETWORK_DIRECTION Direction;
    BOOL LinearBeforeReset;
} DML_GRU_OPERATOR_DESC;
using System;
using System.Runtime.InteropServices;

[StructLayout(LayoutKind.Sequential, CharSet = CharSet.Unicode)]
public struct DML_GRU_OPERATOR_DESC
{
    public IntPtr InputTensor;
    public IntPtr WeightTensor;
    public IntPtr RecurrenceTensor;
    public IntPtr BiasTensor;
    public IntPtr HiddenInitTensor;
    public IntPtr SequenceLengthsTensor;
    public IntPtr OutputSequenceTensor;
    public IntPtr OutputSingleTensor;
    public uint ActivationDescCount;
    public IntPtr ActivationDescs;
    public int Direction;
    [MarshalAs(UnmanagedType.Bool)] public bool LinearBeforeReset;
}
Imports System.Runtime.InteropServices

<StructLayout(LayoutKind.Sequential, CharSet:=CharSet.Unicode)>
Public Structure DML_GRU_OPERATOR_DESC
    Public InputTensor As IntPtr
    Public WeightTensor As IntPtr
    Public RecurrenceTensor As IntPtr
    Public BiasTensor As IntPtr
    Public HiddenInitTensor As IntPtr
    Public SequenceLengthsTensor As IntPtr
    Public OutputSequenceTensor As IntPtr
    Public OutputSingleTensor As IntPtr
    Public ActivationDescCount As UInteger
    Public ActivationDescs As IntPtr
    Public Direction As Integer
    <MarshalAs(UnmanagedType.Bool)> Public LinearBeforeReset As Boolean
End Structure
import ctypes
from ctypes import wintypes

class DML_GRU_OPERATOR_DESC(ctypes.Structure):
    _fields_ = [
        ("InputTensor", ctypes.c_void_p),
        ("WeightTensor", ctypes.c_void_p),
        ("RecurrenceTensor", ctypes.c_void_p),
        ("BiasTensor", ctypes.c_void_p),
        ("HiddenInitTensor", ctypes.c_void_p),
        ("SequenceLengthsTensor", ctypes.c_void_p),
        ("OutputSequenceTensor", ctypes.c_void_p),
        ("OutputSingleTensor", ctypes.c_void_p),
        ("ActivationDescCount", wintypes.DWORD),
        ("ActivationDescs", ctypes.c_void_p),
        ("Direction", ctypes.c_int),
        ("LinearBeforeReset", wintypes.BOOL),
    ]
#[repr(C)]
pub struct DML_GRU_OPERATOR_DESC {
    pub InputTensor: *mut core::ffi::c_void,
    pub WeightTensor: *mut core::ffi::c_void,
    pub RecurrenceTensor: *mut core::ffi::c_void,
    pub BiasTensor: *mut core::ffi::c_void,
    pub HiddenInitTensor: *mut core::ffi::c_void,
    pub SequenceLengthsTensor: *mut core::ffi::c_void,
    pub OutputSequenceTensor: *mut core::ffi::c_void,
    pub OutputSingleTensor: *mut core::ffi::c_void,
    pub ActivationDescCount: u32,
    pub ActivationDescs: *mut core::ffi::c_void,
    pub Direction: i32,
    pub LinearBeforeReset: i32,
}
import "golang.org/x/sys/windows"

type DML_GRU_OPERATOR_DESC struct {
	InputTensor uintptr
	WeightTensor uintptr
	RecurrenceTensor uintptr
	BiasTensor uintptr
	HiddenInitTensor uintptr
	SequenceLengthsTensor uintptr
	OutputSequenceTensor uintptr
	OutputSingleTensor uintptr
	ActivationDescCount uint32
	ActivationDescs uintptr
	Direction int32
	LinearBeforeReset int32
}
type
  DML_GRU_OPERATOR_DESC = record
    InputTensor: Pointer;
    WeightTensor: Pointer;
    RecurrenceTensor: Pointer;
    BiasTensor: Pointer;
    HiddenInitTensor: Pointer;
    SequenceLengthsTensor: Pointer;
    OutputSequenceTensor: Pointer;
    OutputSingleTensor: Pointer;
    ActivationDescCount: DWORD;
    ActivationDescs: Pointer;
    Direction: Integer;
    LinearBeforeReset: BOOL;
  end;
const DML_GRU_OPERATOR_DESC = extern struct {
    InputTensor: ?*anyopaque,
    WeightTensor: ?*anyopaque,
    RecurrenceTensor: ?*anyopaque,
    BiasTensor: ?*anyopaque,
    HiddenInitTensor: ?*anyopaque,
    SequenceLengthsTensor: ?*anyopaque,
    OutputSequenceTensor: ?*anyopaque,
    OutputSingleTensor: ?*anyopaque,
    ActivationDescCount: u32,
    ActivationDescs: ?*anyopaque,
    Direction: i32,
    LinearBeforeReset: i32,
};
type
  DML_GRU_OPERATOR_DESC {.bycopy.} = object
    InputTensor: pointer
    WeightTensor: pointer
    RecurrenceTensor: pointer
    BiasTensor: pointer
    HiddenInitTensor: pointer
    SequenceLengthsTensor: pointer
    OutputSequenceTensor: pointer
    OutputSingleTensor: pointer
    ActivationDescCount: uint32
    ActivationDescs: pointer
    Direction: int32
    LinearBeforeReset: int32
struct DML_GRU_OPERATOR_DESC
{
    void* InputTensor;
    void* WeightTensor;
    void* RecurrenceTensor;
    void* BiasTensor;
    void* HiddenInitTensor;
    void* SequenceLengthsTensor;
    void* OutputSequenceTensor;
    void* OutputSingleTensor;
    uint ActivationDescCount;
    void* ActivationDescs;
    int Direction;
    int LinearBeforeReset;
}

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_GRU_OPERATOR_DESC サイズ: 48 バイト(x86)
dim st, 12    ; 4byte整数×12(構造体サイズ 48 / 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)
; WeightTensor : DML_TENSOR_DESC* (+4, 4byte)  varptr(st)+4 を基点に操作(4byte:入れ子/配列)
; RecurrenceTensor : DML_TENSOR_DESC* (+8, 4byte)  varptr(st)+8 を基点に操作(4byte:入れ子/配列)
; BiasTensor : DML_TENSOR_DESC* (+12, 4byte)  varptr(st)+12 を基点に操作(4byte:入れ子/配列)
; HiddenInitTensor : DML_TENSOR_DESC* (+16, 4byte)  varptr(st)+16 を基点に操作(4byte:入れ子/配列)
; SequenceLengthsTensor : DML_TENSOR_DESC* (+20, 4byte)  varptr(st)+20 を基点に操作(4byte:入れ子/配列)
; OutputSequenceTensor : DML_TENSOR_DESC* (+24, 4byte)  varptr(st)+24 を基点に操作(4byte:入れ子/配列)
; OutputSingleTensor : DML_TENSOR_DESC* (+28, 4byte)  varptr(st)+28 を基点に操作(4byte:入れ子/配列)
; ActivationDescCount : DWORD (+32, 4byte)  st.8 = 値  /  値 = st.8   (lpoke/lpeek も可)
; ActivationDescs : DML_OPERATOR_DESC* (+36, 4byte)  varptr(st)+36 を基点に操作(4byte:入れ子/配列)
; Direction : DML_RECURRENT_NETWORK_DIRECTION (+40, 4byte)  st.10 = 値  /  値 = st.10   (lpoke/lpeek も可)
; LinearBeforeReset : BOOL (+44, 4byte)  st.11 = 値  /  値 = st.11   (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_GRU_OPERATOR_DESC サイズ: 88 バイト(x64)
dim st, 22    ; 4byte整数×22(構造体サイズ 88 / 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)
; WeightTensor : DML_TENSOR_DESC* (+8, 8byte)  varptr(st)+8 を基点に操作(8byte:入れ子/配列)
; RecurrenceTensor : DML_TENSOR_DESC* (+16, 8byte)  varptr(st)+16 を基点に操作(8byte:入れ子/配列)
; BiasTensor : DML_TENSOR_DESC* (+24, 8byte)  varptr(st)+24 を基点に操作(8byte:入れ子/配列)
; HiddenInitTensor : DML_TENSOR_DESC* (+32, 8byte)  varptr(st)+32 を基点に操作(8byte:入れ子/配列)
; SequenceLengthsTensor : DML_TENSOR_DESC* (+40, 8byte)  varptr(st)+40 を基点に操作(8byte:入れ子/配列)
; OutputSequenceTensor : DML_TENSOR_DESC* (+48, 8byte)  varptr(st)+48 を基点に操作(8byte:入れ子/配列)
; OutputSingleTensor : DML_TENSOR_DESC* (+56, 8byte)  varptr(st)+56 を基点に操作(8byte:入れ子/配列)
; ActivationDescCount : DWORD (+64, 4byte)  st.16 = 値  /  値 = st.16   (lpoke/lpeek も可)
; ActivationDescs : DML_OPERATOR_DESC* (+72, 8byte)  varptr(st)+72 を基点に操作(8byte:入れ子/配列)
; Direction : DML_RECURRENT_NETWORK_DIRECTION (+80, 4byte)  st.20 = 値  /  値 = st.20   (lpoke/lpeek も可)
; LinearBeforeReset : BOOL (+84, 4byte)  st.21 = 値  /  値 = st.21   (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_GRU_OPERATOR_DESC
    #field intptr InputTensor
    #field intptr WeightTensor
    #field intptr RecurrenceTensor
    #field intptr BiasTensor
    #field intptr HiddenInitTensor
    #field intptr SequenceLengthsTensor
    #field intptr OutputSequenceTensor
    #field intptr OutputSingleTensor
    #field int ActivationDescCount
    #field intptr ActivationDescs
    #field int Direction
    #field bool LinearBeforeReset
#endstruct

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