/* Copyright 2019 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_MINIMAL_LOGGING_H_ #define TENSORFLOW_LITE_MINIMAL_LOGGING_H_ #include <cstdarg> #include "tensorflow/lite/logger.h" namespace tflite { namespace logging_internal { LogSeverity; // Helper class for simple platform-specific console logging. Note that we // explicitly avoid the convenience of ostream-style logging to minimize binary // size impact. class MinimalLogger { … }; } // namespace logging_internal } // namespace tflite // Convenience macro for basic internal logging in production builds. // Note: This should never be used for debug-type logs, as it will *not* be // stripped in release optimized builds. In general, prefer the error reporting // APIs for developer-facing errors, and only use this for diagnostic output // that should always be logged in user builds. #define TFLITE_LOG_PROD(severity, format, ...) … // Convenience macro for logging a statement *once* for a given process lifetime // in production builds. #define TFLITE_LOG_PROD_ONCE(severity, format, ...) … #ifndef NDEBUG // In debug builds, always log. #define TFLITE_LOG … #define TFLITE_LOG_ONCE … #else // In prod builds, never log, but ensure the code is well-formed and compiles. #define TFLITE_LOG … #define TFLITE_LOG_ONCE … #endif #endif // TENSORFLOW_LITE_MINIMAL_LOGGING_H_
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