Crate clankers_cli 

Command-line interface for clankeRS.

Install the clankers binary with cargo install clankers-cli, then scaffold projects, replay MCAP logs, validate ONNX models, and run bundled demos.

Commands

Command	Purpose
new	Scaffold from basic-node, perception-node, ml-inference-node, or replay-test-node
run	Run the current project’s node
test	Run replay tests and cargo test
inspect	Summarize an MCAP file
replay	Replay a log (optionally through a node)
latency	Latency stats from a replay
compare	Diff two MCAP files
validate-model	ONNX vs PyTorch reference outputs
bench	Benchmark inference latency and copy/allocation stats
import-pytorch	Export a checkpoint to ONNX
add-model	Register a model in clankeRS.toml
visualize	MCAP summary for Foxglove / Rerun
demo	Run bundled demos (camera-perception)
record	Run the node with MCAP recording enabled

See the crate README for install steps and examples.

Structs

Cli

clankers CLI parsed from std::env::args.

Enums

Commands

Subcommands for the clankers binary.

Functions

print_banner

Print a branded status line to stdout.

run

Parse CLI arguments and dispatch the selected subcommand.