17f94a78e8
This change is a preliminary work for resolving builtin code shortage problem. It introduces a new utility build target, schema_utils, which will be used for getting/setting builtin code operator value in TFLite flatbuffer in order to have a single place to access actual fields for accessing values. See also the RFC proposal draft, https://github.com/tensorflow/community/pull/285 PiperOrigin-RevId: 335513647 Change-Id: I810a33425bbed3489cfe4a4a98a10dc4bd67a6ba
60 lines
2.2 KiB
C++
60 lines
2.2 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include "tensorflow/lite/tools/gen_op_registration.h"
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#include <string>
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#include <vector>
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#include "re2/re2.h"
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#include "tensorflow/lite/model.h"
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#include "tensorflow/lite/schema/schema_utils.h"
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namespace tflite {
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string NormalizeCustomOpName(const string& op) {
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string method(op);
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RE2::GlobalReplace(&method, "([a-z])([A-Z])", "\\1_\\2");
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std::transform(method.begin(), method.end(), method.begin(), ::toupper);
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return method;
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}
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void ReadOpsFromModel(const ::tflite::Model* model,
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tflite::RegisteredOpMap* builtin_ops,
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tflite::RegisteredOpMap* custom_ops) {
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if (!model) return;
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auto opcodes = model->operator_codes();
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if (!opcodes) return;
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for (const auto* opcode : *opcodes) {
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const int version = opcode->version();
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auto builtin_code = GetBuiltinCode(opcode);
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if (builtin_code != ::tflite::BuiltinOperator_CUSTOM) {
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auto iter_and_bool = builtin_ops->insert(
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std::make_pair(tflite::EnumNameBuiltinOperator(builtin_code),
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std::make_pair(version, version)));
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auto& versions = iter_and_bool.first->second;
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versions.first = std::min(versions.first, version);
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versions.second = std::max(versions.second, version);
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} else {
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auto iter_and_bool = custom_ops->insert(std::make_pair(
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opcode->custom_code()->c_str(), std::make_pair(version, version)));
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auto& versions = iter_and_bool.first->second;
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versions.first = std::min(versions.first, version);
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versions.second = std::max(versions.second, version);
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}
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}
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}
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} // namespace tflite
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