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OpenCL Type Mapping
===================
.. _type-mappings:
Scalar Types
------------
For ease of use, a the :mod:`pyopencl.cltypes` module provides convenient mapping
from OpenCL type names to their equivalent :mod:`numpy` types. This saves you
from referring back to the OpenCL spec to see that a ``cl_long`` is 64 bit
unsigned integer. Use the module as follows:
.. doctest::
>>> import numpy as np
>>> import pyopencl as cl
>>> import pyopencl.cltypes
>>> cl_uint = cl.cltypes.uint(42) # maps to numpy.uint32
>>> cl_long = cl.cltypes.long(1235) # maps to numpy.int64
>>> floats = np.empty((128,), dtype=cl.cltypes.float) # array of numpy.float32
The OpenCL type ``bool`` does not have a corresponding :mod:`numpy` type
defined here, because OpenCL does not specify the in-memory representation
(or even the storage size) for this type.
Vector Types
------------
The corresponding vector types are also made available in the same package,
allowing you to easily create :mod:`numpy` arrays with the appropriate memory
layout.
.. doctest::
>>> import numpy as np
>>> array_of_float16 = np.empty((128,), dtype=cl.cltypes.float16) # array of float16