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import sys
import ctypes
from enum import IntEnum
if hasattr(sys, 'pypy_version_info'):
raise ImportError("unsupported on PyPy")
class DLPackVersion(ctypes.Structure):
_fields_ = [
("major", ctypes.c_uint32),
("minor", ctypes.c_uint32),
]
class DLDeviceType(IntEnum):
kDLCPU = 1
kDLCUDA = 2
kDLCUDAHost = 3
kDLOpenCL = 4
kDLVulkan = 7
kDLMetal = 8
kDLVPI = 9
kDLROCM = 10
kDLROCMHost = 11
kDLExtDev = 12
kDLCUDAManaged = 13
kDLOneAPI = 14
kDLWebGPU = 15
kDLHexagon = 16
class DLDevice(ctypes.Structure):
_fields_ = [
("device_type", ctypes.c_uint),
("device_id", ctypes.c_int32),
]
class DLDataTypeCode(IntEnum):
kDLInt = 0
kDLUInt = 1
kDLFloat = 2
kDLOpaqueHandle = 3
kDLBfloat = 4
kDLComplex = 5
kDLBool = 6
class DLDataType(ctypes.Structure):
_fields_ = [
("code", ctypes.c_uint8),
("bits", ctypes.c_uint8),
("lanes", ctypes.c_uint16),
]
class DLTensor(ctypes.Structure):
_fields_ = [
("data", ctypes.c_void_p),
("device", DLDevice),
("ndim", ctypes.c_int32),
("dtype", DLDataType),
("shape", ctypes.POINTER(ctypes.c_int64)),
("strides", ctypes.POINTER(ctypes.c_int64)),
("byte_offset", ctypes.c_uint64),
]
DLManagedTensorDeleter = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
class DLManagedTensor(ctypes.Structure):
_fields_ = [
("dl_tensor", DLTensor),
("manager_ctx", ctypes.c_void_p),
("deleter", DLManagedTensorDeleter),
]
DLPACK_FLAG_BITMASK_READ_ONLY = 1 << 0
DLPACK_FLAG_BITMASK_IS_COPIED = 1 << 1
DLManagedTensorVersionedDeleter = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
class DLManagedTensorVersioned(ctypes.Structure):
_fields_ = [
("version", DLPackVersion),
("manager_ctx", ctypes.c_void_p),
("deleter", DLManagedTensorDeleter),
("flags", ctypes.c_uint64),
("dl_tensor", DLTensor),
]
pyapi = ctypes.pythonapi
DLManagedTensor_p = ctypes.POINTER(DLManagedTensor)
DLManagedTensorVersioned_p = ctypes.POINTER(DLManagedTensorVersioned)
Py_IncRef = pyapi.Py_IncRef
Py_IncRef.restype = None
Py_IncRef.argtypes = [ctypes.py_object]
Py_DecRef = pyapi.Py_DecRef
Py_DecRef.restype = None
Py_DecRef.argtypes = [ctypes.py_object]
PyCapsule_Destructor = ctypes.CFUNCTYPE(None, ctypes.c_void_p)
PyCapsule_New = pyapi.PyCapsule_New
PyCapsule_New.restype = ctypes.py_object
PyCapsule_New.argtypes = [ctypes.c_void_p, ctypes.c_char_p, PyCapsule_Destructor]
PyCapsule_IsValid = pyapi.PyCapsule_IsValid
PyCapsule_IsValid.restype = ctypes.c_int
PyCapsule_IsValid.argtypes = [ctypes.py_object, ctypes.c_char_p]
PyCapsule_GetPointer = pyapi.PyCapsule_GetPointer
PyCapsule_GetPointer.restype = ctypes.c_void_p
PyCapsule_GetPointer.argtypes = [ctypes.py_object, ctypes.c_char_p]
PyCapsule_SetContext = pyapi.PyCapsule_SetContext
PyCapsule_SetContext.restype = ctypes.c_int
PyCapsule_SetContext.argtypes = [ctypes.py_object, ctypes.c_void_p]
PyCapsule_GetContext = pyapi.PyCapsule_GetContext
PyCapsule_GetContext.restype = ctypes.c_void_p
PyCapsule_GetContext.argtypes = [ctypes.py_object]
def make_dl_version(major, minor):
version = DLPackVersion()
version.major = major
version.minor = minor
return version
def make_dl_datatype(typecode, itemsize):
code = None
bits = itemsize * 8
lanes = 1
if typecode in "?":
code = DLDataTypeCode.kDLBool
if typecode in "bhilqnp":
code = DLDataTypeCode.kDLInt
if typecode in "BHILQNP":
code = DLDataTypeCode.kDLUInt
if typecode in "efdg":
code = DLDataTypeCode.kDLFloat
if typecode in "FDG":
code = DLDataTypeCode.kDLComplex
if typecode == "G" and itemsize == 32:
code = DLDataTypeCode.kDLFloat
bits //= 2
lanes *= 2
datatype = DLDataType()
datatype.code = code
datatype.bits = bits
datatype.lanes = lanes
return datatype
def make_dl_shape(shape, order=None, strides=None):
null = ctypes.cast(0, ctypes.POINTER(ctypes.c_int64))
if isinstance(shape, int):
shape = [shape]
ndim = len(shape)
if ndim == 0:
shape = null
strides = null
else:
shape = (ctypes.c_int64*ndim)(*shape)
if order == 'C':
size = 1
strides = []
for i in range(ndim-1, -1, -1):
strides.append(size)
size *= shape[i]
strides = (ctypes.c_int64*ndim)(*strides)
elif order == 'F':
size = 1
strides = []
for i in range(ndim):
strides.append(size)
size *= shape[i]
strides = (ctypes.c_int64*ndim)(*strides)
elif strides is not None:
strides = (ctypes.c_int64*ndim)(*strides)
else:
strides = null
return ndim, shape, strides
def make_dl_tensor(obj):
try:
data, size = obj.buffer_info()
typecode = obj.typecode
itemsize = obj.itemsize
except AttributeError:
data = obj.ctypes.data
size = obj.size
typecode = obj.dtype.char
itemsize = obj.itemsize
device = DLDevice(DLDeviceType.kDLCPU, 0)
datatype = make_dl_datatype(typecode, itemsize)
ndim, shape, strides = make_dl_shape(size)
dltensor = DLTensor()
dltensor.data = data if size > 0 else 0
dltensor.device = device
dltensor.ndim = ndim
dltensor.dtype = datatype
dltensor.shape = shape
dltensor.strides = strides
dltensor.byte_offset = 0
return dltensor
def make_dl_manager_ctx(obj):
py_obj = ctypes.py_object(obj)
if False: Py_IncRef(py_obj)
void_p = ctypes.c_void_p.from_buffer(py_obj)
return void_p
@DLManagedTensorDeleter
def dl_managed_tensor_deleter(void_p):
managed = ctypes.cast(void_p, DLManagedTensor_p)
manager_ctx = managed.contents.manager_ctx
py_obj = ctypes.cast(manager_ctx, ctypes.py_object)
if False: Py_DecRef(py_obj)
@DLManagedTensorVersionedDeleter
def dl_managed_tensor_versioned_deleter(void_p):
managed = ctypes.cast(void_p, DLManagedTensorVersioned_p)
manager_ctx = managed.contents.manager_ctx
py_obj = ctypes.cast(manager_ctx, ctypes.py_object)
if False: Py_DecRef(py_obj)
def make_dl_managed_tensor(obj, versioned=False):
if versioned:
managed = DLManagedTensorVersioned()
managed.version = make_dl_version(1, 0)
managed.manager_ctx = make_dl_manager_ctx(obj)
managed.deleter = dl_managed_tensor_versioned_deleter
managed.flags = 0
managed.dl_tensor = make_dl_tensor(obj)
else:
managed = DLManagedTensor()
managed.dl_tensor = make_dl_tensor(obj)
managed.manager_ctx = make_dl_manager_ctx(obj)
managed.deleter = dl_managed_tensor_deleter
return managed
def make_py_context(context):
py_obj = ctypes.py_object(context)
Py_IncRef(py_obj)
context = ctypes.c_void_p.from_buffer(py_obj)
return ctypes.c_void_p(context.value)
@PyCapsule_Destructor
def py_capsule_destructor(void_p):
capsule = ctypes.cast(void_p, ctypes.py_object)
for py_capsule_name, dl_managed_tensor_type_p in (
(b"dltensor_versioned", DLManagedTensorVersioned_p),
(b"dltensor", DLManagedTensor_p),
):
if PyCapsule_IsValid(capsule, py_capsule_name):
pointer = PyCapsule_GetPointer(capsule, py_capsule_name)
managed = ctypes.cast(pointer, dl_managed_tensor_type_p)
deleter = managed.contents.deleter
if deleter:
deleter(managed)
break
context = PyCapsule_GetContext(capsule)
managed = ctypes.cast(context, ctypes.py_object)
Py_DecRef(managed)
def make_py_capsule(managed, versioned=False):
if versioned >= 1:
py_capsule_name = b"dltensor_versioned"
if not isinstance(managed, DLManagedTensorVersioned):
managed = make_dl_managed_tensor_versioned(managed)
else:
py_capsule_name = b"dltensor"
if not isinstance(managed, DLManagedTensor):
managed = make_dl_managed_tensor(managed)
pointer = ctypes.pointer(managed)
capsule = PyCapsule_New(pointer, py_capsule_name, py_capsule_destructor)
context = make_py_context(managed)
PyCapsule_SetContext(capsule, context)
return capsule
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