8db2d99b1a
This achieves the same effect as Interpreter::ModifyGraphWithDelegate, but (like the C API's TfLiteInterpreterOptionsAddDelegate function) this avoids the need for the user to modify the Interpreter after it has already been constructed. PiperOrigin-RevId: 352597994 Change-Id: Iff5c0dbb19c8ef90d4cb77d442b44c9efe328a80
69 lines
2.2 KiB
C++
69 lines
2.2 KiB
C++
#ifndef TENSORFLOW_LITE_INTERPRETER_TEST_UTIL_H_
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#define TENSORFLOW_LITE_INTERPRETER_TEST_UTIL_H_
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/* Copyright 2021 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 <stdint.h>
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#include <map>
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#include <memory>
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#include <string>
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#include <vector>
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#include <gtest/gtest.h>
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#include "tensorflow/lite/interpreter.h"
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#include "tensorflow/lite/kernels/internal/compatibility.h"
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#include "tensorflow/lite/string_util.h"
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namespace tflite {
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// InterpreterTest is a friend of Interpreter, so it can access context_.
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class InterpreterTest : public ::testing::Test {
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public:
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template <typename Delegate>
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static TfLiteStatus ModifyGraphWithDelegate(
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Interpreter* interpreter, std::unique_ptr<Delegate> delegate) {
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return interpreter->ModifyGraphWithDelegate(std::move(delegate));
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}
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protected:
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TfLiteContext* GetInterpreterContext() { return interpreter_.context_; }
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std::vector<Interpreter::TfLiteDelegatePtr>*
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mutable_lazy_delegate_providers() {
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return &interpreter_.lazy_delegate_providers_;
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}
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bool HasDelegates() { return interpreter_.HasDelegates(); }
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void BuildSignature(const std::string& method_name, const std::string& key,
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const std::map<std::string, uint32_t>& inputs,
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const std::map<std::string, uint32_t>& outputs) {
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Interpreter::SignatureDef signature;
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signature.inputs = inputs;
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signature.outputs = outputs;
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signature.method_name = method_name;
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signature.signature_def_key = key;
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interpreter_.SetSignatureDef({signature});
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}
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Interpreter interpreter_;
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};
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} // namespace tflite
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#endif // TENSORFLOW_LITE_INTERPRETER_TEST_UTIL_H_
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