Delete the file manually. Navigate to Settings > Apps > [Your App] > Storage > Clear Cache . On the next launch, the file will be regenerated. Problem 3: Disk Space Bloat Complex neural networks (like YOLOv7 or MobileNetV3) can produce binaries that are 50MB to 200MB in size. Multiple models mean multiple binaries. A user might complain of "Other" storage eating their phone space.
MACE implementations usually include a "fallback" mechanism. If the binary load fails, the app deletes the file and recompiles from source. Problem 2: Corruption If the app crashes while writing the binary, the file may be truncated or corrupt. This causes a load failure. mace-cl-compiled-program.bin
When an application wants to run a neural network on a GPU, it does not send the raw model to the GPU. Instead, it sends a kernel written in OpenCL C (similar to C99). The GPU driver must compile this source code into machine code specific to that exact GPU model (Adreno, Mali, or PowerVR). Delete the file manually
This article dissects mace-cl-compiled-program.bin —what it is, why it exists, how it works, and whether you should ever touch it. Before understanding the file, you must understand the framework that creates it. Problem 3: Disk Space Bloat Complex neural networks
./mace_run --model_file=mace-cl-compiled-program.bin --dump_binary_info Expected output includes:
In the world of mobile and edge computing, performance is paramount. However, raw processing power is useless if the overhead of compiling code eats into your frame budget. This is where cryptic cache files like mace-cl-compiled-program.bin come into play.