Louis Verhaard | 9bfe0f8 | 2020-12-03 12:26:25 +0100 | [diff] [blame^] | 1 | /* |
| 2 | * Copyright (c) 2020 Arm Limited. All rights reserved. |
| 3 | * |
| 4 | * SPDX-License-Identifier: Apache-2.0 |
| 5 | * |
| 6 | * Licensed under the Apache License, Version 2.0 (the License); you may |
| 7 | * not use this file except in compliance with the License. |
| 8 | * You may obtain a copy of the License at |
| 9 | * |
| 10 | * www.apache.org/licenses/LICENSE-2.0 |
| 11 | * |
| 12 | * Unless required by applicable law or agreed to in writing, software |
| 13 | * distributed under the License is distributed on an AS IS BASIS, WITHOUT |
| 14 | * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 15 | * See the License for the specific language governing permissions and |
| 16 | * limitations under the License. |
| 17 | */ |
| 18 | |
| 19 | #define PY_SSIZE_T_CLEAN |
| 20 | #include <Python.h> |
| 21 | |
| 22 | #include <vector> |
| 23 | #include "search_allocator.h" |
| 24 | |
| 25 | |
| 26 | |
| 27 | /** |
| 28 | * C++ extension wrapper for allocate |
| 29 | * |
| 30 | * This method is exposed directly in python with the arguments with a |
| 31 | * prototype of the form: |
| 32 | * |
| 33 | * output = tensor_allocator.allocate(input, available_size=0) |
| 34 | * |
| 35 | * input: [int] |
| 36 | * available_size: int |
| 37 | * output: [int] |
| 38 | */ |
| 39 | static PyObject *method_allocate (PyObject *self, PyObject *args) |
| 40 | { |
| 41 | /* Object to hold the input integer list. */ |
| 42 | PyObject *input_list_object; |
| 43 | |
| 44 | /* Object to hold the available size */ |
| 45 | int available_size = 0; |
| 46 | |
| 47 | /* Arguments to the method are delivered as a tuple, unpack the |
| 48 | * tuple to get the individual arguments, note the second is |
| 49 | * optional. |
| 50 | */ |
| 51 | if (!PyArg_ParseTuple(args, "O|i", &input_list_object, &available_size)) { |
| 52 | return NULL; |
| 53 | } |
| 54 | |
| 55 | /* Unpack the length of the input integer list. */ |
| 56 | int input_length = PyObject_Length (input_list_object); |
| 57 | if (input_length < 0) { |
| 58 | input_length = 0; |
| 59 | } |
| 60 | std::vector<uint32_t> input; |
| 61 | std::vector<uint32_t> output; |
| 62 | for (int i = 0; i < input_length; ++i) { |
| 63 | PyObject *obj = PyList_GetItem(input_list_object, i); |
| 64 | uint32_t value = (uint32_t)PyLong_AsLong(obj); |
| 65 | input.push_back(value); |
| 66 | } |
| 67 | allocate(input, available_size, output); |
| 68 | PyObject *output_list = PyList_New(output.size()); |
| 69 | for (size_t i = 0; i < output.size(); ++i) { |
| 70 | PyList_SetItem(output_list, i, PyLong_FromLong(output[i])); |
| 71 | } |
| 72 | return output_list; |
| 73 | } |
| 74 | |
| 75 | /** tensor_allocator method descriptors. */ |
| 76 | static PyMethodDef tensor_allocator_methods[] = { |
| 77 | {"allocate", method_allocate, METH_VARARGS, "Python interface for allocate"}, |
| 78 | {NULL, NULL, 0, NULL} |
| 79 | }; |
| 80 | |
| 81 | /** tensor_allocator module descriptor. */ |
| 82 | static struct PyModuleDef tensor_allocatormodule = { |
| 83 | PyModuleDef_HEAD_INIT, |
| 84 | "tensor_allocator", |
| 85 | "Python interface for tensor_allocator", |
| 86 | -1, |
| 87 | tensor_allocator_methods |
| 88 | }; |
| 89 | |
| 90 | PyMODINIT_FUNC PyInit_tensor_allocator(void) { |
| 91 | return PyModule_Create(&tensor_allocatormodule); |
| 92 | } |