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Introducing the Socket Python SDK
The initial version of the Socket Python SDK is now on PyPI, enabling developers to more easily interact with the Socket REST API in Python projects.
tlparse
parses structured torch trace logs and outputs HTML files analyzing data.
Quick start: Run PT2 with the TORCH_TRACE environment variable set:
TORCH_TRACE=/tmp/my_traced_log example.py
Feed input into tlparse:
tlparse /tmp/my_traced_log -o tl_out/
You can extend tlparse with custom parsers which take existing structured log data and output any file. To do so, first implement StructuredLogParser with your own trait:
pub struct MyCustomParser;
impl StructuredLogParser for MyCustomParser {
fn name(&self) -> &'static str {
"my_custom_parser"
}
fn get_metadata<'e>(&self, e: &'e Envelope) -> Option<Metadata<'e>> {
// Get required metadata from the Envelope.
// You'll need to update Envelope with your custom Metadata if you need new types here
....
}
fn parse<'e>(&self,
lineno: usize,
metadata: Metadata<'e>,
_rank: Option<u32>,
compile_id: &Option<CompileId>,
payload: &str
) -> anyhow::Result<ParserResult> {
// Use the metadata and payload however you'd like
// Return either a ParserOutput::File(filename, payload) or ParserOutput::Link(name, url)
}
}
FAQs
Parse TORCH_LOG logs produced by PyTorch torch.compile
We found that tlparse demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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