Peano
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-lift-drop-statistics More...
Functions | |
main () | |
parse_file (args) | |
search_for_entries (data_lines, device, call_semantics, data_flow) | |
Search for entries for particular argument combination We return two lists: The first one gives the throughput for one compute kernel while the second one gives the total throughput per measurement including kernel launch overhead. | |
Variables | |
str | preamble = r"\usepackage{amsmath,amssymb}" |
list | Devices = ["host", "device(s)"] |
list | CallSemantics = ["functors", "stateless"] |
list | DataFlow = ["batched", "patch-wise", "volume-wise"] |
list | Markers = ["o", "s", "<", ">", "^", "v", "D"] |
list | Colours |
list | OutputFormats |
str | output_format = "png" |
-lift-drop-statistics
A simple Python script to visualise the number of lifts, drops, ... over the simulation runtime.
plot.main | ( | ) |
Definition at line 52 of file plot.py.
References parse_file(), and search_for_entries().
Referenced by search_for_entries().
plot.parse_file | ( | args | ) |
plot.search_for_entries | ( | data_lines, | |
device, | |||
call_semantics, | |||
data_flow ) |
Search for entries for particular argument combination We return two lists: The first one gives the throughput for one compute kernel while the second one gives the total throughput per measurement including kernel launch overhead.
Definition at line 199 of file plot.py.
References main().
Referenced by main().
list plot.Colours |
list plot.DataFlow = ["batched", "patch-wise", "volume-wise"] |
list plot.OutputFormats |