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Python module

dtype

DType​

class max.dtype.DType(value, names=<not given>, *values, module=None, qualname=None, type=None, start=1, boundary=None)

The tensor data type.

align​

property align*: int*

Returns the alignment of the dtype.

bfloat16​

bfloat16 = 71

bool​

bool = 1

float16​

float16 = 70

float32​

float32 = 72

float64​

float64 = 73

float8_e4m3​

float8_e4m3 = 65

float8_e4m3fn​

float8_e4m3fn = 66

float8_e4m3fnuz​

float8_e4m3fnuz = 67

float8_e5m2​

float8_e5m2 = 68

float8_e5m2fnuz​

float8_e5m2fnuz = 69

from_numpy()​

classmethod from_numpy(dtype: dtype) → DType

Converts a NumPy dtype to the corresponding DType.

  • Parameters:

    dtype (np.dtype) – The NumPy dtype to convert.

  • Returns:

    The corresponding DType enum value.

  • Return type:

    DType

  • Raises:

    ValueError – If the input dtype is not supported.

int16​

int16 = 137

int32​

int32 = 139

int64​

int64 = 141

int8​

int8 = 135

is_float()​

is_float() → __builtins__.bool

Returns true if the dtype is floating point.

is_integral()​

is_integral() → __builtins__.bool

Returns true if the dtype is an integer.

size_in_bytes​

property size_in_bytes*: int*

Returns the size of the dtype in bytes.

to_numpy()​

to_numpy() → dtype

Converts this DType to the corresponding NumPy dtype.

  • Returns:

    The corresponding NumPy dtype object.

  • Return type:

    DType

  • Raises:

    ValueError – If the dtype is not supported.

uint16​

uint16 = 136

uint32​

uint32 = 138

uint64​

uint64 = 140

uint8​

uint8 = 134