Tianqi Chen
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
"""TVM Runtime API.
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This is a simplified runtime API for quick testing and proptyping.
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"""
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# pylint: disable=unused-import, invalid-name
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from __future__ import absolute_import as _abs
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import numpy as _np
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from ._ctypes._ndarray import TVMContext, TVMType, NDArrayBase
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from ._ctypes._ndarray import cpu, gpu, opencl, empty, sync
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from ._ctypes._ndarray import _init_ndarray_module
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from ._ctypes._function import Function
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cl = opencl
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class NDArray(NDArrayBase):
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"""Lightweight NDArray class of TVM runtime.
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Strictly this is only an Array Container(a buffer object)
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No arthimetic operations are defined.
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All operations are performed by TVM functions.
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The goal is not to re-build yet another array library.
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Instead, this is a minimal data structure to demonstrate
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how can we use TVM in existing project which might have their own array containers.
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"""
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pass
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def array(arr, ctx=cpu(0)):
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"""Create an array from source arr.
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Parameters
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----------
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arr : numpy.ndarray
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The array to be copied from
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ctx : TVMContext
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The device context to create the array
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Returns
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-------
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ret : tvm.nd.NDArray
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The created array
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"""
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if not isinstance(arr, _np.ndarray):
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arr = _np.array(arr)
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ret = empty(arr.shape, arr.dtype, ctx)
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ret[:] = arr
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return ret
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_init_ndarray_module(NDArray)
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