Files
blis/test/sup/old/octave_mt/plot_panel_trxsh.m
Field G. Van Zee b37634540f Support ldims, packing in sup/test drivers.
Details:
- Updated the test/sup source file (test_gemm.c) and Makefile to support
  building matrices with small or large leading dimensions, and updated
  runme.sh to support executing both kinds of test drivers.
- Updated runme.sh to allow for executing sup drivers with unpacked (the
  default) or packed matrices (via setting BLIS_PACK_A, BLIS_PACK_B
  environment variables), and for capturing output to files that encode
  both the leading dimension (small or large) and packing status into
  the filenames.
- Consolidated octave scripts in test/sup/octave_st, test/sup/octave_mt
  into test/sup/octave and updated the octave code in that consolidated
  directory to read the new output filename format (encoding ldim and
  packing). Also added comments and streamlined code, particularly in
  plot_panel_trxsh.m. Tested the octave scripts with octave 5.2.0.
- Moved old octave_st, octave_mt directories to test/sup/old.
2020-06-25 16:05:12 -05:00

147 lines
4.5 KiB
Matlab

function r_val = plot_panel_trxsh ...
( ...
cfreq, ...
dflopspercycle, ...
nth, ...
thr_str, ...
dt_ch, ...
stor_str, ...
smalldims, ...
ldim_str, ...
pack_str, ...
dirpath, ...
arch_str, ...
vend_str, ...
impl ...
)
%cfreq = 1.8;
%dflopspercycle = 32;
% Create filename "templates" for the files that contain the performance
% results.
filetemp_blissup = '%s/output_%s_%s_blissup.m';
filetemp_blisconv = '%s/output_%s_%s_blisconv.m';
filetemp_eigen = '%s/output_%s_%s_eigen.m';
filetemp_open = '%s/output_%s_%s_openblas.m';
filetemp_vend = '%s/output_%s_%s_vendor.m';
% Create a variable name "template" for the variables contained in the
% files outlined above.
vartemp = 'data_%s_%s_%s( :, : )';
% Define the datatypes and operations we will be plotting.
oproot = sprintf( '%cgemm', dt_ch );
ops( 1, : ) = sprintf( '%s_nn', oproot );
ops( 2, : ) = sprintf( '%s_nt', oproot );
ops( 3, : ) = sprintf( '%s_tn', oproot );
ops( 4, : ) = sprintf( '%s_tt', oproot );
% Generate datatype-specific operation names from the set of operations
% and datatypes.
[ opsupnames, opnames ] = gen_opsupnames( ops, stor_str, smalldims, ldim_str, pack_str );
n_opsupnames = size( opsupnames, 1 );
%opsupnames
%opnames
%return
if 1 == 1
%fig = figure('Position', [100, 100, 2400, 1500]);
fig = figure('Position', [100, 100, 2400, 1200]);
orient( fig, 'portrait' );
set(gcf,'PaperUnits', 'inches');
if impl == 'matlab'
set(gcf,'PaperSize', [11.5 20.4]);
set(gcf,'PaperPosition', [0 0 11.5 20.4]);
set(gcf,'PaperPositionMode','manual');
else % impl == 'octave' % octave 4.x
set(gcf,'PaperSize', [12 22.0]);
set(gcf,'PaperPositionMode','auto');
end
set(gcf,'PaperOrientation','landscape');
end
% Iterate over the list of datatype-specific operation names.
for opi = 1:n_opsupnames
%for opi = 1:1
% Grab the current datatype combination.
opsupname = opsupnames( opi, : );
opname = opnames( opi, : );
opsupname = strtrim( opsupname );
opname = strtrim( opname );
str = sprintf( 'Plotting %2d: %s', opi, opsupname ); disp(str);
% Construct filenames for the data files from templates.
file_blissup = sprintf( filetemp_blissup, dirpath, thr_str, opsupname );
file_blisconv = sprintf( filetemp_blisconv, dirpath, thr_str, opsupname );
file_eigen = sprintf( filetemp_eigen, dirpath, thr_str, opsupname );
file_open = sprintf( filetemp_open, dirpath, thr_str, opsupname );
file_vend = sprintf( filetemp_vend, dirpath, thr_str, opsupname );
% Load the data files.
%str = sprintf( ' Loading %s', file_blissup ); disp(str);
run( file_blissup )
run( file_blisconv )
run( file_eigen )
run( file_open )
run( file_vend )
% Construct variable names for the variables in the data files.
var_blissup = sprintf( vartemp, thr_str, opname, 'blissup' );
var_blisconv = sprintf( vartemp, thr_str, opname, 'blisconv' );
var_eigen = sprintf( vartemp, thr_str, opname, 'eigen' );
var_open = sprintf( vartemp, thr_str, opname, 'openblas' );
var_vend = sprintf( vartemp, thr_str, opname, 'vendor' );
% Use eval() to instantiate the variable names constructed above,
% copying each to a simplified name.
data_blissup = eval( var_blissup ); % e.g. data_st_dgemm_blissup( :, : );
data_blisconv = eval( var_blisconv ); % e.g. data_st_dgemm_blisconv( :, : );
data_eigen = eval( var_eigen ); % e.g. data_st_dgemm_eigen( :, : );
data_open = eval( var_open ); % e.g. data_st_dgemm_openblas( :, : );
data_vend = eval( var_vend ); % e.g. data_st_dgemm_vendor( :, : );
% Plot one result in an m x n grid of plots, via the subplot()
% function.
if 1 == 1
plot_l3sup_perf( opsupname, ...
data_blissup, ...
data_blisconv, ...
data_eigen, ...
data_open, ...
data_vend, vend_str, ...
nth, ...
4, 7, ...
cfreq, ...
dflopspercycle, ...
opi, impl );
clear data_mt_*gemm_*;
clear data_blissup;
clear data_blisconv;
clear data_eigen;
clear data_open;
clear data_vend;
end
end
% Construct the name of the file to which we will output the graph.
outfile = sprintf( 'l3sup_%s_%s_%s_nt%d.pdf', oproot, stor_str, arch_str, nth );
% Output the graph to pdf format.
%print(gcf, 'gemm_md','-fillpage','-dpdf');
%print(gcf, outfile,'-bestfit','-dpdf');
if impl == 'octave'
print(gcf, outfile);
else % if impl == 'matlab'
print(gcf, outfile,'-bestfit','-dpdf');
end