ONE - On-device Neural Engine
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PadV2.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 "PadV2.h"
18
19#include "Convert.h"
20#include "FillerHelper.h"
21
22namespace tflchef
23{
24
25void TFliteOpPadV2::filler(const tflite::Operator *op, TFliteImport *import,
26 tflchef::ModelRecipe *model_recipe) const
27{
28 const std::vector<int32_t> &inputs = as_index_vector(op->inputs());
29
30 // Filler for paddings and constant_values
31 fill_tensor_to_import(inputs[1], import);
32 fill_tensor_to_import(inputs[2], import);
33}
34
35tflchef::Operation *TFliteOpPadV2::build(RecipeChefContext *ctx) const
36{
37 tflchef::Operation *operation = ctx->chefop;
38 const tflite::Operator *op = ctx->tflop;
39
40 operation->set_type("PadV2");
41
42 return operation;
43}
44
45} // namespace tflchef
Loads TF lite file and provides helpers to access attributes.
tflchef::Operation * build(RecipeChefContext *ctx) const override
Definition PadV2.cpp:35
void filler(const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
Definition PadV2.cpp:25
std::vector< T > as_index_vector(const flatbuffers::Vector< T > *flat_array)
Definition Convert.h:47
void fill_tensor_to_import(int32_t idx, TFliteImport *import)
tflchef::Operation * chefop
const tflite::Operator * tflop