2 * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
3 * Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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
9 * http://www.apache.org/licenses/LICENSE-2.0
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.
18 #ifndef LUCI_INTERPRETER_PAL_AVERAGE_POOL_2D_COMMON_H
19 #define LUCI_INTERPRETER_PAL_AVERAGE_POOL_2D_COMMON_H
24 namespace luci_interpreter_pal
27 // TODO: reduce code duplication with MaxPool
28 inline void AveragePool(const PoolParams ¶ms, const luci_interpreter::RuntimeShape &input_shape,
29 const float *input_data, const luci_interpreter::RuntimeShape &output_shape,
32 const int batches = input_shape.dims(0);
33 const int depth = output_shape.dims(3);
34 const int input_height = input_shape.dims(1);
35 const int input_width = input_shape.dims(2);
36 const int output_height = output_shape.dims(1);
37 const int output_width = output_shape.dims(2);
38 const int stride_height = params.stride_height;
39 const int stride_width = params.stride_width;
40 for (int batch = 0; batch < batches; ++batch)
42 for (int out_y = 0; out_y < output_height; ++out_y)
44 for (int out_x = 0; out_x < output_width; ++out_x)
46 for (int channel = 0; channel < depth; ++channel)
48 const int in_x_origin = (out_x * stride_width) - params.padding_values.width;
49 const int in_y_origin = (out_y * stride_height) - params.padding_values.height;
50 // Compute the boundaries of the filter region clamped so as to
51 // ensure that the filter window fits in the input array.
52 const int filter_x_start = std::max(0, -in_x_origin);
53 const int filter_x_end = std::min(params.filter_width, input_width - in_x_origin);
54 const int filter_y_start = std::max(0, -in_y_origin);
55 const int filter_y_end = std::min(params.filter_height, input_height - in_y_origin);
58 float filter_count = 0;
60 for (int filter_y = filter_y_start; filter_y < filter_y_end; ++filter_y)
62 for (int filter_x = filter_x_start; filter_x < filter_x_end; ++filter_x)
64 const int in_x = in_x_origin + filter_x;
65 const int in_y = in_y_origin + filter_y;
67 const int input_data_offset =
68 ((batch * input_shape.dims(1) + in_y) * input_shape.dims(2) + in_x) *
72 total += input_data[input_data_offset];
76 const int output_data_offset =
77 ((batch * output_shape.dims(1) + out_y) * output_shape.dims(2) + out_x) *
78 output_shape.dims(3) +
81 assert(filter_count != 0);
82 const float average = total / filter_count;
84 output_data[output_data_offset] =
85 std::min(std::max(average, params.float_activation_min), params.float_activation_max);
91 } // namespace luci_interpreter_pal
93 #endif // LUCI_INTERPRETER_PAL_AVERAGE_POOL_2D_COMMON_H