| /* Copyright 2017 The TensorFlow Authors. 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. |
| ==============================================================================*/ |
| |
| #ifndef TENSORFLOW_LITE_TOOLS_VERIFIER_H_ |
| #define TENSORFLOW_LITE_TOOLS_VERIFIER_H_ |
| |
| #include <stdio.h> |
| |
| #include "tensorflow/lite/core/api/error_reporter.h" |
| #include "tensorflow/lite/core/api/op_resolver.h" |
| #include "tensorflow/lite/error_reporter.h" // Legacy. |
| #include "tensorflow/lite/model.h" // Legacy. |
| |
| namespace tflite { |
| |
| class AlwaysTrueResolver : public OpResolver { |
| public: |
| AlwaysTrueResolver() {} |
| const TfLiteRegistration* FindOp(tflite::BuiltinOperator op, |
| int version) const override { |
| static TfLiteRegistration null_registration = {nullptr, nullptr, nullptr, |
| nullptr}; |
| return &null_registration; |
| } |
| const TfLiteRegistration* FindOp(const char* op, int version) const override { |
| static TfLiteRegistration null_registration = {nullptr, nullptr, nullptr, |
| nullptr}; |
| return &null_registration; |
| } |
| }; |
| |
| // Verifies the integrity of a Tensorflow Lite flatbuffer model file. |
| // Currently, it verifies: |
| // * The file is following a legit flatbuffer schema. |
| // * The model is in supported version. |
| // * All ops used in the model are supported by OpResolver. |
| // DEPRECATED: |
| // This function is deprecated, because it doesn't take delegates into |
| // account, and as a result may report errors if the model contains |
| // operators that are not supported by the OpResolver but that would be |
| // rewritten by any TfLiteDelegate that you are using. |
| // Suggested replacement: |
| // Use the version below that doesn't takes an OpResolver (and |
| // doesn't check the validity of the ops) instead of this function, |
| // and delay verification of the ops until after you have constructed |
| // the Interpreter. To verify that the operators in the model are supported |
| // by the delegate(s) and/or by the OpResolver, construct the Interpreter, |
| // applying the TfLiteDelegate(s) using InterpreterBuilder::AddDelegate, |
| // and then just check the return value from Interpreter::AllocateTensors(). |
| bool Verify(const void* buf, size_t len, const OpResolver& resolver, |
| ErrorReporter* error_reporter); |
| |
| // Verifies the integrity of a Tensorflow Lite flatbuffer model file. |
| // Currently, it verifies: |
| // * The file is following a legit flatbuffer schema. |
| // * The model is in supported version. |
| bool Verify(const void* buf, size_t len, ErrorReporter* error_reporter); |
| |
| } // namespace tflite |
| |
| #endif // TENSORFLOW_LITE_TOOLS_VERIFIER_H_ |