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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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
*
* http://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.
*/
#include "Reader.h"
#include <sstream>
#include <string>
namespace tflinspect
{
bool is_valid(const tflite::OperatorCode *opcode)
{
tflite::BuiltinOperator code = opcode->builtin_code();
return (tflite::BuiltinOperator_MIN <= code && code <= tflite::BuiltinOperator_MAX);
}
bool is_custom(const tflite::OperatorCode *opcode)
{
tflite::BuiltinOperator code = opcode->builtin_code();
return (code == tflite::BuiltinOperator_CUSTOM);
}
std::string opcode_name(const tflite::OperatorCode *opcode)
{
assert(opcode);
if (!is_valid(opcode))
{
std::ostringstream oss;
oss << "(invalid)";
return oss.str();
}
if (is_custom(opcode))
{
if (!opcode->custom_code())
return "(invalid custom)";
std::string custom_op = "CUSTOM(";
custom_op += opcode->custom_code()->c_str();
custom_op += ")";
return custom_op;
}
tflite::BuiltinOperator code = opcode->builtin_code();
return tflite::EnumNameBuiltinOperator(code);
}
const char *tensor_type(const tflite::Tensor *tensor)
{
return tflite::EnumNameTensorType(tensor->type());
}
const char *tensor_name(const tflite::Tensor *tensor)
{
static const char *kEmptyTensorName = "(noname)";
auto name = tensor->name();
if (name)
return name->c_str();
return kEmptyTensorName;
}
Reader::Reader(const tflite::Model *model)
{
_subgraphs = model->subgraphs();
_buffers = model->buffers();
auto opcodes = model->operator_codes();
for (const ::tflite::OperatorCode *opcode : *opcodes)
{
_op_codes.push_back(opcode);
}
}
size_t Reader::buffer_info(uint32_t buf_idx, const uint8_t **buff_data)
{
if (buff_data != nullptr)
{
*buff_data = nullptr;
}
if (buf_idx == 0)
return 0;
if (auto *buffer = (*_buffers)[buf_idx])
{
if (auto *array = buffer->data())
{
if (size_t size = array->size())
{
if (buff_data != nullptr)
{
*buff_data = reinterpret_cast<const uint8_t *>(array->data());
}
return size;
}
}
}
return 0;
}
tflite::BuiltinOperator Reader::builtin_code(const tflite::Operator *op) const
{
uint32_t index = op->opcode_index();
assert(index < _op_codes.size());
const tflite::OperatorCode *opcode = _op_codes.at(index);
return opcode->builtin_code();
}
std::string Reader::opcode_name(const tflite::Operator *op) const
{
uint32_t index = op->opcode_index();
assert(index < _op_codes.size());
const tflite::OperatorCode *opcode = _op_codes.at(index);
if (!is_valid(opcode))
{
std::ostringstream oss;
oss << "(invalid: " << index << ")";
return oss.str();
}
return tflinspect::opcode_name(opcode);
}
bool Reader::select_subgraph(uint32_t sgindex)
{
_tensors = nullptr;
_operators = nullptr;
_inputs.clear();
_outputs.clear();
if (_subgraphs->Length() <= sgindex)
{
assert(false);
return false;
}
const tflite::SubGraph *subgraph = (*_subgraphs)[sgindex];
_tensors = subgraph->tensors();
_operators = subgraph->operators();
_inputs = as_index_vector(subgraph->inputs());
_outputs = as_index_vector(subgraph->outputs());
return true;
}
} // namespace tflinspect
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