Win32 API 日本語リファレンス
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DML_TENSOR_DATA_TYPE

列挙型
📘 Microsoft Learn (日本語) · English
基底型i4

メンバー 12

名前10進16進説明
DML_TENSOR_DATA_TYPE_UNKNOWN00x0不明なデータ型を示します。この値が有効になることはありません。
DML_TENSOR_DATA_TYPE_FLOAT3210x132 ビットの浮動小数点データ型を示します。
DML_TENSOR_DATA_TYPE_FLOAT1620x216 ビットの浮動小数点データ型を示します。
DML_TENSOR_DATA_TYPE_UINT3230x332 ビットの符号なし整数データ型を示します。
DML_TENSOR_DATA_TYPE_UINT1640x416 ビットの符号なし整数データ型を示します。
DML_TENSOR_DATA_TYPE_UINT850x58 ビットの符号なし整数データ型を示します。
DML_TENSOR_DATA_TYPE_INT3260x632 ビットの符号付き整数データ型を示します。
DML_TENSOR_DATA_TYPE_INT1670x716 ビットの符号付き整数データ型を示します。
DML_TENSOR_DATA_TYPE_INT880x88 ビットの符号付き整数データ型を示します。
DML_TENSOR_DATA_TYPE_FLOAT6490x9
DML_TENSOR_DATA_TYPE_UINT64100xA
DML_TENSOR_DATA_TYPE_INT64110xB

公式ドキュメント

テンソル内の値のデータ型を指定します。DirectML の演算子はすべてのデータ型をサポートしているとは限りません。どのデータ型をサポートしているかは、各演算子のドキュメントを参照してください。

解説(Remarks)

DML_FEATURE_LEVEL_6_3

DirectML の 機能レベル 6_3 では、次のデータ型が導入されました。

DML_TENSOR_DATA_TYPE_UINT4

4 ビットの符号なし整数データ型を示します。UINT4 データ型では、最初の要素をバイトの下位ニブルに、2 番目の要素を上位ニブルに格納します (標準的なリトルエンディアン順)。ディメンションはバイト境界に整列している必要はありません (奇数サイズでも問題ありません)。たとえば、UINT4 の要素データが [1,2,3,4,5] の場合、3 バイトの [0x21, 0x43, 0x05] となり、末尾のニブルは無視されます。

DML_TENSOR_DATA_TYPE_INT4

4 ビットの符号付き整数データ型を示します。

出典・ライセンス: 上記「公式ドキュメント」の内容は Microsoft の Win32 API ドキュメント(MicrosoftDocs/sdk-api)を日本語に翻訳・改変したものです。© Microsoft Corporation. CC BY 4.0 で提供。
Microsoft 公式リファレンス: 英語 (en-us) · 日本語 (ja-jp) · 原文ソース (GitHub)

各言語での定義

列挙メンバーの定義。HSP タブは #define global(値は16進)。

typedef enum DML_TENSOR_DATA_TYPE : int {
    DML_TENSOR_DATA_TYPE_UNKNOWN = 0,
    DML_TENSOR_DATA_TYPE_FLOAT32 = 1,
    DML_TENSOR_DATA_TYPE_FLOAT16 = 2,
    DML_TENSOR_DATA_TYPE_UINT32 = 3,
    DML_TENSOR_DATA_TYPE_UINT16 = 4,
    DML_TENSOR_DATA_TYPE_UINT8 = 5,
    DML_TENSOR_DATA_TYPE_INT32 = 6,
    DML_TENSOR_DATA_TYPE_INT16 = 7,
    DML_TENSOR_DATA_TYPE_INT8 = 8,
    DML_TENSOR_DATA_TYPE_FLOAT64 = 9,
    DML_TENSOR_DATA_TYPE_UINT64 = 10,
    DML_TENSOR_DATA_TYPE_INT64 = 11
} DML_TENSOR_DATA_TYPE;
public enum DML_TENSOR_DATA_TYPE : int
{
    DML_TENSOR_DATA_TYPE_UNKNOWN = 0,
    DML_TENSOR_DATA_TYPE_FLOAT32 = 1,
    DML_TENSOR_DATA_TYPE_FLOAT16 = 2,
    DML_TENSOR_DATA_TYPE_UINT32 = 3,
    DML_TENSOR_DATA_TYPE_UINT16 = 4,
    DML_TENSOR_DATA_TYPE_UINT8 = 5,
    DML_TENSOR_DATA_TYPE_INT32 = 6,
    DML_TENSOR_DATA_TYPE_INT16 = 7,
    DML_TENSOR_DATA_TYPE_INT8 = 8,
    DML_TENSOR_DATA_TYPE_FLOAT64 = 9,
    DML_TENSOR_DATA_TYPE_UINT64 = 10,
    DML_TENSOR_DATA_TYPE_INT64 = 11,
}
Public Enum DML_TENSOR_DATA_TYPE As Integer
    DML_TENSOR_DATA_TYPE_UNKNOWN = 0
    DML_TENSOR_DATA_TYPE_FLOAT32 = 1
    DML_TENSOR_DATA_TYPE_FLOAT16 = 2
    DML_TENSOR_DATA_TYPE_UINT32 = 3
    DML_TENSOR_DATA_TYPE_UINT16 = 4
    DML_TENSOR_DATA_TYPE_UINT8 = 5
    DML_TENSOR_DATA_TYPE_INT32 = 6
    DML_TENSOR_DATA_TYPE_INT16 = 7
    DML_TENSOR_DATA_TYPE_INT8 = 8
    DML_TENSOR_DATA_TYPE_FLOAT64 = 9
    DML_TENSOR_DATA_TYPE_UINT64 = 10
    DML_TENSOR_DATA_TYPE_INT64 = 11
End Enum
import enum

class DML_TENSOR_DATA_TYPE(enum.IntEnum):
    DML_TENSOR_DATA_TYPE_UNKNOWN = 0
    DML_TENSOR_DATA_TYPE_FLOAT32 = 1
    DML_TENSOR_DATA_TYPE_FLOAT16 = 2
    DML_TENSOR_DATA_TYPE_UINT32 = 3
    DML_TENSOR_DATA_TYPE_UINT16 = 4
    DML_TENSOR_DATA_TYPE_UINT8 = 5
    DML_TENSOR_DATA_TYPE_INT32 = 6
    DML_TENSOR_DATA_TYPE_INT16 = 7
    DML_TENSOR_DATA_TYPE_INT8 = 8
    DML_TENSOR_DATA_TYPE_FLOAT64 = 9
    DML_TENSOR_DATA_TYPE_UINT64 = 10
    DML_TENSOR_DATA_TYPE_INT64 = 11
// DML_TENSOR_DATA_TYPE
pub const DML_TENSOR_DATA_TYPE_UNKNOWN: i32 = 0;
pub const DML_TENSOR_DATA_TYPE_FLOAT32: i32 = 1;
pub const DML_TENSOR_DATA_TYPE_FLOAT16: i32 = 2;
pub const DML_TENSOR_DATA_TYPE_UINT32: i32 = 3;
pub const DML_TENSOR_DATA_TYPE_UINT16: i32 = 4;
pub const DML_TENSOR_DATA_TYPE_UINT8: i32 = 5;
pub const DML_TENSOR_DATA_TYPE_INT32: i32 = 6;
pub const DML_TENSOR_DATA_TYPE_INT16: i32 = 7;
pub const DML_TENSOR_DATA_TYPE_INT8: i32 = 8;
pub const DML_TENSOR_DATA_TYPE_FLOAT64: i32 = 9;
pub const DML_TENSOR_DATA_TYPE_UINT64: i32 = 10;
pub const DML_TENSOR_DATA_TYPE_INT64: i32 = 11;
// DML_TENSOR_DATA_TYPE
const (
	DML_TENSOR_DATA_TYPE_UNKNOWN int32 = 0
	DML_TENSOR_DATA_TYPE_FLOAT32 int32 = 1
	DML_TENSOR_DATA_TYPE_FLOAT16 int32 = 2
	DML_TENSOR_DATA_TYPE_UINT32 int32 = 3
	DML_TENSOR_DATA_TYPE_UINT16 int32 = 4
	DML_TENSOR_DATA_TYPE_UINT8 int32 = 5
	DML_TENSOR_DATA_TYPE_INT32 int32 = 6
	DML_TENSOR_DATA_TYPE_INT16 int32 = 7
	DML_TENSOR_DATA_TYPE_INT8 int32 = 8
	DML_TENSOR_DATA_TYPE_FLOAT64 int32 = 9
	DML_TENSOR_DATA_TYPE_UINT64 int32 = 10
	DML_TENSOR_DATA_TYPE_INT64 int32 = 11
)
const
  DML_TENSOR_DATA_TYPE_UNKNOWN = 0;
  DML_TENSOR_DATA_TYPE_FLOAT32 = 1;
  DML_TENSOR_DATA_TYPE_FLOAT16 = 2;
  DML_TENSOR_DATA_TYPE_UINT32 = 3;
  DML_TENSOR_DATA_TYPE_UINT16 = 4;
  DML_TENSOR_DATA_TYPE_UINT8 = 5;
  DML_TENSOR_DATA_TYPE_INT32 = 6;
  DML_TENSOR_DATA_TYPE_INT16 = 7;
  DML_TENSOR_DATA_TYPE_INT8 = 8;
  DML_TENSOR_DATA_TYPE_FLOAT64 = 9;
  DML_TENSOR_DATA_TYPE_UINT64 = 10;
  DML_TENSOR_DATA_TYPE_INT64 = 11;
// DML_TENSOR_DATA_TYPE
pub const DML_TENSOR_DATA_TYPE_UNKNOWN: i32 = 0;
pub const DML_TENSOR_DATA_TYPE_FLOAT32: i32 = 1;
pub const DML_TENSOR_DATA_TYPE_FLOAT16: i32 = 2;
pub const DML_TENSOR_DATA_TYPE_UINT32: i32 = 3;
pub const DML_TENSOR_DATA_TYPE_UINT16: i32 = 4;
pub const DML_TENSOR_DATA_TYPE_UINT8: i32 = 5;
pub const DML_TENSOR_DATA_TYPE_INT32: i32 = 6;
pub const DML_TENSOR_DATA_TYPE_INT16: i32 = 7;
pub const DML_TENSOR_DATA_TYPE_INT8: i32 = 8;
pub const DML_TENSOR_DATA_TYPE_FLOAT64: i32 = 9;
pub const DML_TENSOR_DATA_TYPE_UINT64: i32 = 10;
pub const DML_TENSOR_DATA_TYPE_INT64: i32 = 11;
const
  DML_TENSOR_DATA_TYPE_UNKNOWN* = 0
  DML_TENSOR_DATA_TYPE_FLOAT32* = 1
  DML_TENSOR_DATA_TYPE_FLOAT16* = 2
  DML_TENSOR_DATA_TYPE_UINT32* = 3
  DML_TENSOR_DATA_TYPE_UINT16* = 4
  DML_TENSOR_DATA_TYPE_UINT8* = 5
  DML_TENSOR_DATA_TYPE_INT32* = 6
  DML_TENSOR_DATA_TYPE_INT16* = 7
  DML_TENSOR_DATA_TYPE_INT8* = 8
  DML_TENSOR_DATA_TYPE_FLOAT64* = 9
  DML_TENSOR_DATA_TYPE_UINT64* = 10
  DML_TENSOR_DATA_TYPE_INT64* = 11
enum DML_TENSOR_DATA_TYPE : int {
    DML_TENSOR_DATA_TYPE_UNKNOWN = 0,
    DML_TENSOR_DATA_TYPE_FLOAT32 = 1,
    DML_TENSOR_DATA_TYPE_FLOAT16 = 2,
    DML_TENSOR_DATA_TYPE_UINT32 = 3,
    DML_TENSOR_DATA_TYPE_UINT16 = 4,
    DML_TENSOR_DATA_TYPE_UINT8 = 5,
    DML_TENSOR_DATA_TYPE_INT32 = 6,
    DML_TENSOR_DATA_TYPE_INT16 = 7,
    DML_TENSOR_DATA_TYPE_INT8 = 8,
    DML_TENSOR_DATA_TYPE_FLOAT64 = 9,
    DML_TENSOR_DATA_TYPE_UINT64 = 10,
    DML_TENSOR_DATA_TYPE_INT64 = 11,
}
#define global DML_TENSOR_DATA_TYPE_UNKNOWN 0x0
#define global DML_TENSOR_DATA_TYPE_FLOAT32 0x1
#define global DML_TENSOR_DATA_TYPE_FLOAT16 0x2
#define global DML_TENSOR_DATA_TYPE_UINT32  0x3
#define global DML_TENSOR_DATA_TYPE_UINT16  0x4
#define global DML_TENSOR_DATA_TYPE_UINT8   0x5
#define global DML_TENSOR_DATA_TYPE_INT32   0x6
#define global DML_TENSOR_DATA_TYPE_INT16   0x7
#define global DML_TENSOR_DATA_TYPE_INT8    0x8
#define global DML_TENSOR_DATA_TYPE_FLOAT64 0x9
#define global DML_TENSOR_DATA_TYPE_UINT64  0xA
#define global DML_TENSOR_DATA_TYPE_INT64   0xB