intel_gpu_analyze: plot gpu-specific power data

Also plot gpu chipset and gpu gfx power data.

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

1 files changed, 13 insertions, 2 deletions

diff --git a/tools/intel_gpu_analyze.py b/tools/intel_gpu_analyze.py
index 513b463..9697bee 100755
--- a/tools/intel_gpu_analyze.py
+++ b/tools/intel_gpu_analyze.py
@@ -303,8 +303,13 @@ def analyse(results, title, out_dir, perf_logfile=None, summary="index.html"):
     pylab.title("Power usage summary")
     pylab.ylabel("Power (W)")
     pylab.xlabel("Time (s)")
+    ax = pylab.subplot(111)
 
-    pylab.plot(results['power'], label="Power")
+    ax.plot(results['power'], label="Power")
+    ax.plot(results['power.chip'], label="Chipset")
+    ax.plot(results['power.gfx'], label="GFX")
+    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.grid()
     # Shink current axis's height by 10% on the bottom
     pylab.savefig("%s/plot_power.svg" % out_dir, format="svg", dpi=200)
@@ -354,6 +359,8 @@ def analyse(results, title, out_dir, perf_logfile=None, summary="index.html"):
     # plotting power
     ax2 = ax.twinx()
     ax2.plot(results['time'], results["power"], label="Power (W)", color='red')
+    ax2.plot(results['time'], results['power.chip'], label="Chipset (W)", color='g')
+    ax2.plot(results['time'], results['power.gfx'], label="GFX (W)", color='m')
     ax2.set_ylabel('Watts')
     num_axis += 1
 
@@ -362,6 +369,7 @@ def analyse(results, title, out_dir, perf_logfile=None, 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))
+    ax2.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, 0.2))
     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'
@@ -383,13 +391,16 @@ def analyse(results, title, out_dir, perf_logfile=None, summary="index.html"):
         # plotting power
         ax2 = ax.twinx()
         ax2.plot(results['time'], results["power"], label="Power (W)", color='red')
+        ax2.plot(results['time'], results['power.chip'], label="Chipset", color='g')
+        ax2.plot(results['time'], results['power.gfx'], label="GFX", color='m')
         ax2.set_ylabel('Watts')
 
         pylab.grid()
         # Shink current axis's height by 10% on the bottom
         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))
+        ax.legend(loc = 'upper center', ncol=1, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
+        ax2.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, 0.2))
         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