monitor

Examine memory usage along with GPU status; gauge system attributes and conduct performance benchmarking. To monitor performance and gather system info: Inspect memory consumption alongside GPU

Basic Usage

python -m wisent monitor [OPTIONS]

Examples

Show Memory Info

python -m wisent monitor --memory-info

Show System Info

python -m wisent monitor --system-info

Test GPU

python -m wisent monitor --test-gpu

Run Benchmarks

python -m wisent monitor --benchmark

Continuous Monitoring

python -m wisent monitor \
  --continuous \
  --interval 1.0 \
  --duration 60 \
  --track-gpu

Export to CSV

python -m wisent monitor \
  --continuous \
  --duration 120 \
  --export-csv ./monitoring_data.csv

Arguments

Information Commands

Argument	Description
--memory-info	Show current memory usage information
--system-info	Show system information and capabilities
--test-gpu	Test GPU availability and memory
--benchmark	Run performance benchmarks

Continuous Monitoring

Argument	Default	Description
--continuous	false	Enable continuous monitoring mode (Ctrl+C to stop)
--interval	1.0	Monitoring interval in seconds
--duration	60	Duration for continuous monitoring in seconds
--track-gpu	false	Include GPU monitoring (requires CUDA)

Output Options

Argument	Description
--export-csv	Export monitoring data to CSV file
--detailed	Show detailed monitoring information

What Gets Monitored

Memory Usage - RAM utilization, available memory, peak usage
GPU Memory - VRAM usage, available GPU memory (when CUDA available)
CPU Usage - Processor utilization percentage
System Info - Platform, Python version, available devices
Performance Metrics - Throughput, latency measurements

Use Cases

Pre-run Checks - Verify system capabilities before running tasks
Debugging OOM - Monitor memory during model loading
Performance Profiling - Track resource usage over time
Capacity Planning - Understand resource requirements

Related Commands

tasks - Run evaluation tasks
optimize - Optimization commands

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