{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"tlparse parses structured PyTorch torch.compile trace logs and generates HTML analysis files from the output.","skillfed_tags":["pytorch-profiling","torch-compile","performance-analysis"],"use_cases":["Analyze torch.compile performance bottlenecks by visualizing structured trace logs as interactive HTML reports.","Debug compilation failures or unexpected behavior by inspecting detailed trace metadata and payloads.","Build custom analysis tools by implementing StructuredLogParser traits to extract domain-specific metrics from traces.","Monitor multi-rank distributed training by processing trace logs from different ranks and generating comparative reports."],"what_it_does":"tlparse is a command-line tool that consumes structured trace logs produced by PyTorch's torch.compile feature (via the TORCH_TRACE environment variable) and generates HTML files for visual analysis. It is written in Rust and distributed as a Python package with precompiled wheels for multiple architectures.\n\nThe tool's primary use is post-hoc inspection of torch.compile execution traces. It accepts a directory of structured logs and outputs formatted HTML reports. The package also supports extension through custom parsers implemented as Rust traits, allowing users to add domain-specific analysis on top of the base trace data.","worth_installing":"Yes, if you actively use torch.compile and need to analyze its execution traces. The tool is actively maintained, has no known vulnerabilities, and runs on common platforms. Medium install friction is acceptable for a specialized profiling tool. Not necessary if you do not use torch.compile or do not require detailed trace analysis."},"id":"tlparse","links":{"html":"https://skillfed.io/packages/tlparse","md":"https://skillfed.io/packages/tlparse.md","pypi":"https://pypi.org/project/tlparse/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-09-12","license_spdx":null,"license_treatment":"permissive","name":"tlparse","python_support":"supports_current","summary":"Parse TORCH_LOG logs produced by PyTorch torch.compile"},"popularity":{"monthly_downloads":189996,"position":9917,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.4.3"}