intel_gpu_analyse: cross-reference performance analysis

Add cross-reference for seconds of execution and specific process, and
link perf results from the main execution page.

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

1 files changed, 23 insertions, 5 deletions

diff --git a/tools/intel_gpu_analyze.py b/tools/intel_gpu_analyze.py
index a9edcfe..c2e60e9 100755
--- a/tools/intel_gpu_analyze.py
+++ b/tools/intel_gpu_analyze.py
@@ -31,6 +31,12 @@ p {
 <h3>Execution lasted %(duration).2f seconds</h3>
 """
 
+PERF_REFERENCE="""
+<p>
+<a href="%(perf)s">Kernel perf results analysis</a>
+</p>
+"""
+
 MINMAXAVG="""
 <p>
 <h3>%(descr)s:</h3>
@@ -54,8 +60,8 @@ PERF_ITERATION="""
 <a name="%(sec)d">
 <h3>Second %(sec)d</h3>
 </a>
-Processes in execution: <i>%(processes)s</i>
-<br/>
+
+Processes in execution: 
 """
 
 PERF_SECOND_TITLE="""
@@ -63,8 +69,14 @@ PERF_SECOND_TITLE="""
 <br/>
 """
 
+PERF_PROCESS_REF="""
+<a href="#%(sec)d.%(process)s">%(process)s</a>
+"""
+
 PERF_PROCESS="""
+<a name="%(sec)d.%(process)s">
 <h3>Process %(process)s</h3>
+</a>
 """
 
 PERF_TOP="""
@@ -174,7 +186,9 @@ def analyse_perf(logfile, out_dir, perf="perf.html"):
     for sec in seconds:
         print >>output, PERF_ITERATION % {'sec': sec, 'processes': ', '.join(results[sec].keys())}
         for process in results[sec]:
-            print >>output, PERF_PROCESS % {'process': process}
+            print >>output, PERF_PROCESS_REF % {'sec': sec, 'process': process}
+        for process in results[sec]:
+            print >>output, PERF_PROCESS % {'sec': sec, 'process': process}
             # let's sort functions
             functions_by_time = sorted(results[sec][process], key=lambda key: results[sec][process][key], reverse=True)
             top = ""
@@ -184,7 +198,7 @@ def analyse_perf(logfile, out_dir, perf="perf.html"):
     print >>output, TAIL
     output.close()
 
-def analyse(results, title, out_dir, summary="index.html"):
+def analyse(results, title, out_dir, perf_logfile=None, summary="index.html"):
     """Analyses intel_gpu_top results"""
     # calculate min/max/avg values
     keys = results.keys()
@@ -231,6 +245,10 @@ def analyse(results, title, out_dir, summary="index.html"):
                 'avg': avgval_s,
                 }
 
+    # Do we have perf results?
+    if perf_logfile:
+        print >>output, PERF_REFERENCE % {'perf': 'perf.html'}
+
     # graphics
     try:
         import pylab
@@ -461,6 +479,6 @@ if __name__ == "__main__":
         pass
     if logfile:
         results = collect(logfile)
-        analyse(results, title, output)
+        analyse(results, title, output, perf_logfile=perf_logfile)
     if perf_logfile:
         analyse_perf(perf_logfile, output)