o ٰit @sdZddlmZddlmZddlmZddlmZm Z m Z ddl m Z m Z m Z mZmZmZe dGd d d ee ZddddZgdZd S)z%Tensor related objects and functions.) annotations)Integral)Any)_ffi_apicoreregistry)Device DLDeviceTypePyNativeObjectTensor_shape_obj_get_py_tuple from_dlpackz ffi.Shapec@s.eZdZUdZded<d ddZdd d Zd S)ShapeaShape tuple that represents :cpp:class:`tvm::ffi::Shape` returned by an FFI call. Notes ----- This class subclasses :class:`tuple` so it can be used in most places where :class:`tuple` is used in Python array APIs. Examples -------- .. code-block:: python import numpy as np import tvm_ffi x = tvm_ffi.from_dlpack(np.arange(6, dtype="int32").reshape(2, 3)) assert x.shape == (2, 3) r_tvm_ffi_cached_objectcontenttuple[int, ...]returncCs>tdd|Dr tdt||}|jtjg|R|S)Ncss|] }t|t VqdSN) isinstancer).0xrC/home/ubuntu/.local/lib/python3.10/site-packages/tvm_ffi/_tensor.py Bsz Shape.__new__..z!Shape must be a tuple of integers)any ValueErrortuple__new__%__init_cached_object_by_constructor__rr)clsrvalrrrrAs  z Shape.__new__objcCst|}t||}||_|S)z"Construct from a given tvm object.)r rrr)r r"rr!rrr__from_tvm_ffi_object__Is zShape.__from_tvm_ffi_object__N)rrrr)r"rrr)__name__ __module__ __qualname____doc____annotations__rr#rrrrr%s  rN device_typestr | int | DLDeviceTypeindex int | Nonerr cCs t||S)a?Construct a TVM FFI device with given device type and index. Parameters ---------- device_type: str or int The device type or name. index: int, optional The device index. Returns ------- device: tvm_ffi.Device Examples -------- Device can be used to create reflection of device by string representation of the device type. .. code-block:: python import tvm_ffi assert tvm_ffi.device("cuda:0") == tvm_ffi.device("cuda", 0) assert tvm_ffi.device("cpu:0") == tvm_ffi.device("cpu", 0) )r _CLASS_DEVICE)r)r+rrrdeviceQs r.)r r r r.rr)r)r*r+r,rr )r' __future__rnumbersrtypingrrrrr r r r r rregister_objectrrr.__all__rrrrs      +