1.16.15

flytekitplugins.memray

Directory

Classes

Class Description
memray_profiling

flytekitplugins.memray.memray_profiling 

class memray_profiling(
    task_function: typing.Optional[typing.Callable],
    native_traces: bool,
    trace_python_allocators: bool,
    follow_fork: bool,
    memory_interval_ms: int,
    memray_html_reporter: str,
    memray_reporter_args: typing.Optional[typing.List[str]],
)

Memray profiling plugin.

Parameter Type Description
task_function typing.Optional[typing.Callable] The user function to be decorated. Defaults to None.
native_traces bool
trace_python_allocators bool
follow_fork bool
memory_interval_ms int How many milliseconds to wait between sending periodic resident set size updates. By default, every 10 milliseconds a record is written that contains the current timestamp and the total number of bytes of virtual memory allocated by the process. These records are used to create the graph of memory usage over time that appears at the top of the flame graph, for instance. This parameter lets you adjust the frequency between updates, though you shouldn’t need to change it.
memray_html_reporter str The name of the memray reporter which generates an html report. Today there is only ‘flamegraph’ & ’table’.
memray_reporter_args typing.Optional[typing.List[str]] A list of arguments to pass to the reporter commands. See the flamegraph and table docs for details on supported arguments.

Methods

Method Description
execute() This method will be called when the decorated function is called.
generate_flytedeck_html()
get_extra_config() Get the config of the decorator.

execute() 

def execute(
    args,
    kwargs,
)

This method will be called when the decorated function is called.

Parameter Type Description
args *args
kwargs **kwargs

generate_flytedeck_html() 

def generate_flytedeck_html(
    reporter,
    bin_filepath,
)
Parameter Type Description
reporter
bin_filepath

get_extra_config() 

def get_extra_config()

Get the config of the decorator.