mirror of
https://github.com/vee1e/tflite-micro.git
synced 2026-09-02 10:17:54 +00:00
74b9db940a
When a model contains COMPRESSION_METADATA but the interpreter was built without compression support, throw a RuntimeError with a helpful message directing users to build with --//:with_compression=true. The implementation uses inline functions in compression_utils.h that are optimized away when compression is disabled, ensuring all code paths remain compile-checked, and readable without preprocessor clutter. Includes test_compression_unsupported.py to verify the error detection, which only runs when compression is disabled. BUG=#3125
56 lines
No EOL
1.8 KiB
C++
56 lines
No EOL
1.8 KiB
C++
/* Copyright 2025 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_MICRO_PYTHON_COMPRESSION_UTILS_H_
|
|
#define TENSORFLOW_LITE_MICRO_PYTHON_COMPRESSION_UTILS_H_
|
|
|
|
#include <cstring>
|
|
|
|
#include "tensorflow/lite/schema/schema_generated.h"
|
|
|
|
namespace tflite {
|
|
|
|
// Returns true if interpreter was built with compression support.
|
|
// When USE_TFLM_COMPRESSION is defined, this always returns true and
|
|
// the compiler can optimize away any if (!IsCompressionSupported()) branches.
|
|
inline constexpr bool IsCompressionSupported() {
|
|
#ifdef USE_TFLM_COMPRESSION
|
|
return true;
|
|
#else
|
|
return false;
|
|
#endif
|
|
}
|
|
|
|
// Helper to check if model has compression metadata.
|
|
// This is always compiled in, but when used with IsCompressionSupported()
|
|
// the entire check can be optimized away.
|
|
inline bool HasCompressionMetadata(const Model& model) {
|
|
if (!model.metadata()) {
|
|
return false;
|
|
}
|
|
|
|
for (size_t i = 0; i < model.metadata()->size(); ++i) {
|
|
const auto* metadata = model.metadata()->Get(i);
|
|
if (metadata && metadata->name() &&
|
|
strcmp(metadata->name()->c_str(), "COMPRESSION_METADATA") == 0) {
|
|
return true;
|
|
}
|
|
}
|
|
return false;
|
|
}
|
|
|
|
} // namespace tflite
|
|
|
|
#endif // TENSORFLOW_LITE_MICRO_PYTHON_COMPRESSION_UTILS_H_
|