litert-google-tensor

Compiles LiteRT (.tflite) models ahead-of-time for Google Tensor TPUs (Tensor G5 on Pixel 10, Tensor G6 on Pixel 11) locally on Linux x86_64 or on Google Colab (--colab on macOS, Windows, or ARM hosts), benchmarks them on a USB-attached Pixel with LiteRT's benchmark_model (NPU latency, peak memory, TPU tile time, TPU energy, optional CPU baseline), and packages compiled models for an Android Gradle app as a Google Play AI pack with the Tensor NPU runtime module and a Kotlin loader, applies it to

Install

KitScout test notes

Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.

Similar tools

• reverse-engineer-anything 456,653 ★
  Reverse engineer native, managed, Electron/JavaScript, packaged, firmware, and browser targets with REA, and b
• scaffold-exercises 323,485 ★
  Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use
• wait-what 323,485 ★
  Stop. That last message did not land: re-pitch it.
• template-skill 193,970 ★
  Replace with description of the skill and when Claude should use it.
• ponytail-debt 190,107 ★
  List every `shortcut:` comment (and older `ponytail:` ones) as a debt ledger. One-shot report, changes nothing