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DML_TENSOR_DATA_TYPE

列挙型
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基底型i4

メンバー 12

名前10進16進
DML_TENSOR_DATA_TYPE_UNKNOWN00x0
DML_TENSOR_DATA_TYPE_FLOAT3210x1
DML_TENSOR_DATA_TYPE_FLOAT1620x2
DML_TENSOR_DATA_TYPE_UINT3230x3
DML_TENSOR_DATA_TYPE_UINT1640x4
DML_TENSOR_DATA_TYPE_UINT850x5
DML_TENSOR_DATA_TYPE_INT3260x6
DML_TENSOR_DATA_TYPE_INT1670x7
DML_TENSOR_DATA_TYPE_INT880x8
DML_TENSOR_DATA_TYPE_FLOAT6490x9
DML_TENSOR_DATA_TYPE_UINT64100xA
DML_TENSOR_DATA_TYPE_INT64110xB

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