intel_gpu_analyser: Save images as SVG

This improves both resulting pdf size and their visualization. And SVG is
the future anyway.

Signed-off-by: Eugeni Dodonov <eugeni.dodonov@intel.com>

1 files changed, 14 insertions, 14 deletions

diff --git a/tools/intel_gpu_analyser.py b/tools/intel_gpu_analyser.py
index b1e0bf6..e1d16d6 100755
--- a/tools/intel_gpu_analyser.py
+++ b/tools/intel_gpu_analyser.py
@@ -46,9 +46,9 @@ MINMAXAVG="""
 FIGURE="""
 <p>
 <hr/>
-<b>%(title)s</b>
-<br/>
 <a href="%(img)s"><img src="%(img)s" width=800 height=600></a>
+<br/>
+<b>%(title)s</b>
 </p>
 """
 
@@ -174,8 +174,8 @@ def analyse(results, title, out_dir, summary="index.html"):
     box = ax.get_position()
     ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
     ax.legend(loc = 'upper center', ncol=num_axis, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
-    pylab.savefig("%s/plot_summary.png" % out_dir, format="png", dpi=200)
-    print >>output, FIGURE % {'img': 'plot_summary.png',
+    pylab.savefig("%s/plot_summary.svg" % out_dir, format="svg", dpi=200)
+    print >>output, FIGURE % {'img': 'plot_summary.svg',
             'title': 'Summary of the execution, outlining the CPU usage (in user and system mode), per-ring GPU usage, and power usage (if available) '
             }
 
@@ -199,8 +199,8 @@ def analyse(results, title, out_dir, summary="index.html"):
     box = ax.get_position()
     ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
     ax.legend(loc = 'upper center', ncol=num_axis, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
-    pylab.savefig("%s/plot_gpu_ops.png" % out_dir, format="png", dpi=200)
-    print >>output, FIGURE % {'img': 'plot_gpu_ops.png',
+    pylab.savefig("%s/plot_gpu_ops.svg" % out_dir, format="svg", dpi=200)
+    print >>output, FIGURE % {'img': 'plot_gpu_ops.svg',
             'title': 'Ops per interval for each GPU ring during the execution'
             }
 
@@ -213,8 +213,8 @@ def analyse(results, title, out_dir, summary="index.html"):
     pylab.plot(results['power'], label="Power")
     pylab.grid()
     # Shink current axis's height by 10% on the bottom
-    pylab.savefig("%s/plot_power.png" % out_dir, format="png", dpi=200)
-    print >>output, FIGURE % {'img': 'plot_power.png',
+    pylab.savefig("%s/plot_power.svg" % out_dir, format="svg", dpi=200)
+    print >>output, FIGURE % {'img': 'plot_power.svg',
             'title': 'Power usage over the course of execution'
             }
 
@@ -237,8 +237,8 @@ def analyse(results, title, out_dir, summary="index.html"):
     box = ax.get_position()
     ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
     ax.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
-    pylab.savefig("%s/plot_power_cpu.png" % out_dir, format="png", dpi=200)
-    print >>output, FIGURE % {'img': 'plot_power_cpu.png',
+    pylab.savefig("%s/plot_power_cpu.svg" % out_dir, format="svg", dpi=200)
+    print >>output, FIGURE % {'img': 'plot_power_cpu.svg',
             'title': 'Power utilization co-related to CPU'
             }
 
@@ -268,8 +268,8 @@ def analyse(results, title, out_dir, summary="index.html"):
     box = ax.get_position()
     ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
     ax.legend(loc = 'upper center', ncol=num_axis, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
-    pylab.savefig("%s/plot_power_gpu.png" % out_dir, format="png", dpi=200)
-    print >>output, FIGURE % {'img': 'plot_power_gpu.png',
+    pylab.savefig("%s/plot_power_gpu.svg" % out_dir, format="svg", dpi=200)
+    print >>output, FIGURE % {'img': 'plot_power_gpu.svg',
             'title': 'Power utilization co-related to all GPU rings'
             }
 
@@ -296,8 +296,8 @@ def analyse(results, title, out_dir, summary="index.html"):
         box = ax.get_position()
         ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
         ax.legend(loc = 'upper center', ncol=2, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
-        pylab.savefig("%s/plot_power_gpu_%s.png" % (out_dir, ring), format="png", dpi=200)
-        print >>output, FIGURE % {'img': 'plot_power_gpu_%s.png' % ring,
+        pylab.savefig("%s/plot_power_gpu_%s.svg" % (out_dir, ring), format="svg", dpi=200)
+        print >>output, FIGURE % {'img': 'plot_power_gpu_%s.svg' % ring,
                 'title': 'Power utilization co-related to the %s ring' % ring
                 }