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| 1 | +# Data Parallel Control (dpctl) |
| 2 | +# |
| 3 | +# Copyright 2020-2025 Intel Corporation |
| 4 | +# |
| 5 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 6 | +# you may not use this file except in compliance with the License. |
| 7 | +# You may obtain a copy of the License at |
| 8 | +# |
| 9 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +# |
| 11 | +# Unless required by applicable law or agreed to in writing, software |
| 12 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 13 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 14 | +# See the License for the specific language governing permissions and |
| 15 | +# limitations under the License. |
| 16 | + |
| 17 | +# distutils: language = c++ |
| 18 | +# cython: language_level=3 |
| 19 | +# cython: linetrace=True |
| 20 | + |
| 21 | +cdef class WorkGroupMemory: |
| 22 | + """ |
| 23 | + WorkGroupMemory(nbytes) |
| 24 | + Python class representing the ``work_group_memory`` class from the |
| 25 | + Workgroup Memory oneAPI SYCL extension for low-overhead allocation of local |
| 26 | + memory shared by the workitems in a workgroup. |
| 27 | +
|
| 28 | + Args: |
| 29 | + nbytes (int) |
| 30 | + number of bytes to allocate in local memory. |
| 31 | + Expected to be positive. |
| 32 | + """ |
| 33 | + def __cinit__(self, Py_ssize_t nbytes): |
| 34 | + self.nbytes = nbytes |
| 35 | + |
| 36 | + property nbytes: |
| 37 | + """Local memory size in bytes.""" |
| 38 | + def __get__(self): |
| 39 | + return self.nbytes |
| 40 | + |
| 41 | + |
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