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author | Louis Verhaard <louis.verhaard@arm.com> | 2020-12-03 12:26:25 +0100 |
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committer | Louis Verhaard <louis.verhaard@arm.com> | 2020-12-11 12:24:25 +0100 |
commit | 9bfe0f86ea525055954b160a3c678024743030ec (patch) | |
tree | 384bac88fcc613abd357fbbf266ea30e34cbe526 /ethosu/tensor_allocator/tensor_allocatormodule.cpp | |
parent | 93719a9b8c160de3acf047eacb9196f13167bddb (diff) | |
download | ethos-u-vela-9bfe0f86ea525055954b160a3c678024743030ec.tar.gz |
MLBEDSW-1373: Added search based allocator
Added a new tensor allocator that is based on searching,
implemented in C++ (C++11 compatible).
Change-Id: Ie96e9fcfc8e6c58d1fa53911f37de290eeba88cf
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
Diffstat (limited to 'ethosu/tensor_allocator/tensor_allocatormodule.cpp')
-rw-r--r-- | ethosu/tensor_allocator/tensor_allocatormodule.cpp | 92 |
1 files changed, 92 insertions, 0 deletions
diff --git a/ethosu/tensor_allocator/tensor_allocatormodule.cpp b/ethosu/tensor_allocator/tensor_allocatormodule.cpp new file mode 100644 index 00000000..79ee95ad --- /dev/null +++ b/ethosu/tensor_allocator/tensor_allocatormodule.cpp @@ -0,0 +1,92 @@ +/* + * Copyright (c) 2020 Arm Limited. All rights reserved. + * + * SPDX-License-Identifier: Apache-2.0 + * + * Licensed under the Apache License, Version 2.0 (the License); you may + * not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an AS IS BASIS, WITHOUT + * WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#define PY_SSIZE_T_CLEAN +#include <Python.h> + +#include <vector> +#include "search_allocator.h" + + + +/** + * C++ extension wrapper for allocate + * + * This method is exposed directly in python with the arguments with a + * prototype of the form: + * + * output = tensor_allocator.allocate(input, available_size=0) + * + * input: [int] + * available_size: int + * output: [int] + */ +static PyObject *method_allocate (PyObject *self, PyObject *args) +{ + /* Object to hold the input integer list. */ + PyObject *input_list_object; + + /* Object to hold the available size */ + int available_size = 0; + + /* Arguments to the method are delivered as a tuple, unpack the + * tuple to get the individual arguments, note the second is + * optional. + */ + if (!PyArg_ParseTuple(args, "O|i", &input_list_object, &available_size)) { + return NULL; + } + + /* Unpack the length of the input integer list. */ + int input_length = PyObject_Length (input_list_object); + if (input_length < 0) { + input_length = 0; + } + std::vector<uint32_t> input; + std::vector<uint32_t> output; + for (int i = 0; i < input_length; ++i) { + PyObject *obj = PyList_GetItem(input_list_object, i); + uint32_t value = (uint32_t)PyLong_AsLong(obj); + input.push_back(value); + } + allocate(input, available_size, output); + PyObject *output_list = PyList_New(output.size()); + for (size_t i = 0; i < output.size(); ++i) { + PyList_SetItem(output_list, i, PyLong_FromLong(output[i])); + } + return output_list; +} + +/** tensor_allocator method descriptors. */ +static PyMethodDef tensor_allocator_methods[] = { + {"allocate", method_allocate, METH_VARARGS, "Python interface for allocate"}, + {NULL, NULL, 0, NULL} +}; + +/** tensor_allocator module descriptor. */ +static struct PyModuleDef tensor_allocatormodule = { + PyModuleDef_HEAD_INIT, + "tensor_allocator", + "Python interface for tensor_allocator", + -1, + tensor_allocator_methods +}; + +PyMODINIT_FUNC PyInit_tensor_allocator(void) { + return PyModule_Create(&tensor_allocatormodule); +} |