tvm.runtime.ndarray¶

Runtime NDArray API

class tvm.nd.NDArray¶

Lightweight NDArray class of TVM runtime.

Strictly this is only an Array Container (a buffer object) No arthimetic operations are defined. All operations are performed by TVM functions.

The goal is not to re-build yet another array library. Instead, this is a minimal data structure to demonstrate how can we use TVM in existing project which might have their own array containers.

property dtype¶: Type of this array

property device¶: Device of this array

same_as(other)¶

Check object identity equality

Parameters: other (object) – The other object to compare to
Returns: same – Whether other is same as self.
Return type: bool

copyfrom(source_array)¶

Perform a synchronous copy from the array.

Parameters: source_array (array_like) – The data source we should like to copy from.
Returns: arr – Reference to self.
Return type: NDArray

asnumpy()¶: Convert this array to numpy array. This API will be deprecated in TVM v0.8 release. Please use numpy instead.

numpy()¶

Convert this array to numpy array

Returns: np_arr – The corresponding numpy array.
Return type: numpy.ndarray

copyto(target, mem_scope=None)¶

Copy array to target

Parameters

target (NDArray) – The target array to be copied, must have same shape as this array.
mem_scope (Optional[str]) – The memory scope of the array.

shape¶: Shape of this array

to_dlpack()¶

Produce an array from a DLPack Tensor without copying memory

Returns: dlpack
Return type: DLPack tensor view of the array data

tvm.nd.array(arr, device=cpu(0), mem_scope=None)¶

Create an array from source arr.

Parameters

arr (numpy.ndarray) – The array to be copied from
device (Device, optional) – The device to create the array
mem_scope (Optional[str]) – The memory scope of the array

Returns

ret – The created array

Return type

NDArray

tvm.nd.empty(shape, dtype='float32', device=cpu(0), mem_scope=None)¶

Create an empty array given shape and device

Parameters

shape (Union[tvm.runtime.ShapeTuple, Sequence[typing.SupportsInt]]) – The shape of the array.
dtype (type or str) – The data type of the array.
device (Device) – The device of the array.
mem_scope (Optional[str]) – The memory scope of the array.

Returns

arr – The array tvm supported.

Return type

tvm.nd.NDArray