ONE - On-device Neural Engine
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Mean.cpp
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1/*
2 * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#include "Mean.h"
18
19#include "Convert.h"
20
21namespace tflchef
22{
23
24void TFliteOpMean::filler(const tflite::Operator *op, TFliteImport *import,
25 tflchef::ModelRecipe *model_recipe) const
26{
27 // filler for second input
28 const auto &inputs = *op->inputs();
29
30 const tflite::Tensor *tensor = import->tensors()->Get(inputs[1]);
31 assert(tensor->type() == tflite::TensorType::TensorType_INT32);
32 const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
33 auto vec = extract_buffer<int32_t>(buffer);
34 import->set_tensor_filler(inputs[1], vec);
35}
36
37tflchef::Operation *TFliteOpMean::build(RecipeChefContext *ctx) const
38{
39 tflchef::Operation *operation = ctx->chefop;
40 const tflite::Operator *op = ctx->tflop;
41
42 auto op_params = op->builtin_options_as_ReducerOptions();
43 assert(op_params != nullptr);
44
45 operation->set_type("Mean");
46
47 auto op_options = operation->mutable_mean_options();
48
49 op_options->set_keep_dims(op_params->keep_dims());
50
51 return operation;
52}
53
54} // namespace tflchef
Loads TF lite file and provides helpers to access attributes.
tflchef::Operation * build(RecipeChefContext *ctx) const override
Definition Mean.cpp:37
void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
Definition Mean.cpp:24
tflchef::Operation * chefop
const tflite::Operator * tflop