1 files changed, 0 insertions, 105 deletions
diff --git a/ethosu/tensor_allocator/tensor_allocatormodule.cpp b/ethosu/tensor_allocator/tensor_allocatormodule.cpp
deleted file mode 100644
index 52f1c690..00000000
--- a/ethosu/tensor_allocator/tensor_allocatormodule.cpp
+++ /dev/null
@@ -1,105 +0,0 @@
-/*
- * 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 <cstdint>
-
-#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. */
-    auto input_length = PyObject_Length(input_list_object);
-    if (input_length < 0) {
-        return NULL;
-    }
-    if (input_length % 3 != 0) {
-        PyErr_SetString(PyExc_ValueError, "Input length must be multiple of 3");
-        return NULL;
-    }
-    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);
-        if (!PyLong_Check(obj)) {
-            PyErr_SetString(PyExc_ValueError, "Illegal value in input");
-            return NULL;
-        }
-        auto value = PyLong_AsLong(obj);
-        if (value < 0 || value > UINT32_MAX) {
-            PyErr_SetString(PyExc_ValueError, "Input value out of bounds");
-            return NULL;
-        }
-        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);
-}