Files
blis/test/sup/octave/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

144 lines
4.6 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 ...
)
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
% 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';
filetemp_bfeo = '%s/output_%s_%s_blasfeo.m';
filetemp_xsmm = '%s/output_%s_%s_libxsmm.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
% 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, : );
% Remove leading and trailing whitespace.
opsupname = strtrim( opsupname );
opname = strtrim( opname );
% Output progress through the loop.
str = sprintf( 'Plotting %2d: %s', opi, opsupname ); disp(str);
% Load the data for each dataset.
data_blissup = load_data( filetemp_blissup, dirpath, thr_str, opsupname, vartemp, opname, 'blissup' );
data_blisconv = load_data( filetemp_blisconv, dirpath, thr_str, opsupname, vartemp, opname, 'blisconv' );
data_eigen = load_data( filetemp_eigen, dirpath, thr_str, opsupname, vartemp, opname, 'eigen' );
data_open = load_data( filetemp_open, dirpath, thr_str, opsupname, vartemp, opname, 'openblas' );
data_vend = load_data( filetemp_vend, dirpath, thr_str, opsupname, vartemp, opname, 'vendor' );
% Only read blasfeo data for single-threaded cases.
if nth == 1
data_bfeo = load_data( filetemp_bfeo, dirpath, thr_str, opsupname, vartemp, opname, 'blasfeo' );
else
data_bfeo = zeros( size( data_blissup, 1 ), size( data_blissup, 2 ) );
end
% Only read libxsmm data for single-threaded cases, and cases that use column
% storage since that's the only format that libxsmm supports.
if nth == 1 && stor_str == 'ccc'
data_xsmm = load_data( filetemp_xsmm, dirpath, thr_str, opsupname, vartemp, opname, 'libxsmm' );
else
data_xsmm = zeros( size( data_blissup, 1 ), size( data_blissup, 2 ) );
end
% Plot one result in an m x n grid of plots, via the subplot()
% function.
plot_l3sup_perf( opsupname, ...
smalldims, ...
data_blissup, ...
data_blisconv, ...
data_eigen, ...
data_open, ...
data_vend, vend_str, ...
data_bfeo, ...
data_xsmm, ...
nth, ...
4, 7, ...
cfreq, ...
dflopspercycle, ...
opi, impl );
% Clear the variables created for the return values of load_data().
%clear data_blissup;
%clear data_blisconv;
%clear data_eigen;
%clear data_open;
%clear data_vend;
%clear data_bfeo;
%clear data_xsmm;
% Clear the variables used in the raw data files.
%clear data_st_*gemm_*;
%clear data_mt_*gemm_*;
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