construct a label from other benchmark fields

[cwpearson]

No description provided.

[abduld]

e.g. from https://ml-arc-minsky.netlify.com/machine/AWS_g3_xlarge

[cwpearson]

Can you add a snippet of the benchmark.json file as well?

[abduld]

e.g.

 {
      "name": "SGEMM/384/169/1",
      "iterations": 13074,
      "real_time": 5.3525743996501726e+04,
      "cpu_time": 5.3539960532357516e+04,
      "time_unit": "ns",
      "K": 1.0000000000000000e+00,
      "M": 3.8400000000000000e+02,
      "N": 1.6900000000000000e+02
    }, 

https://github.com/rai-project/scope/blob/master/results/raw_data/minsky/sgemm_smt_0.json

[cwpearson]

What about something like this. This would construct a string with the specified seperator, from the fields in each benchmark object

In the spec file

label:
  seperator: "x" # optional, there would be some default
  fields:
  -  K
  -  M
  -  N

or for command line utilities

... --label-seperator x --label-fields K M N ...

The result for the offered snippet would be

1x384x169

[cwpearson]

Some more thoughts.
In the spec file, at the series level, series.label is the name of the series in the plot legend right now, so perhaps add another two optional fields series.tick_fields and series.tick_seperator

series:
  - ...
    tick_seperator: "x" # optional, there would be some default
    tick_fields: [K, M, N]
  - ...

or for command line utilities

... --tick-seperator x --tick-fields K M N ...

The result for the offered snippet would be

1x384x169

There will need to be some changes in how dataframes are generated in scope_plot/benchmark.py and consumed in the generate_bar() portions of scope_plot/backends/....
I think when the dataframe is generated, the index of the dataframe should be set to the desired tick label.
Then, when that dataframe is consumed the logic would need to be adjusted a bit to plot it correctly.

[cwpearson]

Added support for series.tick_fields and series.tick_seperator in schema.py, but no logic to actually use them.

bc739ac