Telemetry: Fix typo for non-Android GPU thread name.

tools/perf/metrics/timeline.py

 # Copyright 2014 The Chromium Authors. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be
 # found in the LICENSE file.
 import collections
 
 from metrics import Metric
 
 TRACING_MODE = 'tracing-mode'
 TIMELINE_MODE = 'timeline-mode'
 
@@ skipping 89 matching lines @@
       results.Add(counter_name + '_avg', 'count', total / len(counter.totals))
 
 
 # We want to generate a consistant picture of our thread usage, despite
 # having several process configurations (in-proc-gpu/single-proc).
 # Since we can't isolate renderer threads in single-process mode, we
 # always sum renderer-process threads' times. We also sum all io-threads
 # for simplicity.
 TimelineThreadCategories =  {
   "Chrome_InProcGpuThread": "GPU",
-  "CrGPUMain"             : "GPU",
+  "CrGpuMain"             : "GPU",
   "AsyncTransferThread"   : "GPU_transfer",
   "CrBrowserMain"         : "browser_main",
   "Browser Compositor"    : "browser_compositor",
   "CrRendererMain"        : "renderer_main",
   "Compositor"            : "renderer_compositor",
   "IOThread"              : "IO",
   "CompositorRasterWorker": "raster"
 }
 MatchBySubString = ["IOThread", "CompositorRasterWorker"]
 FastPath = ["GPU",
@@ skipping 102 matching lines @@
                             self._model.bounds.bounds) * 100
       results.Add(cpu_time_report_name, '%', time_as_percentage)
 
     # TOOD(nduca): When generic results objects are done, this special case
     # can be replaced with a generic UI feature.
     for thread_category, results_for_thread_category in (
         results_per_thread_category.iteritems()):
       if (thread_category == 'renderer_main' and
           self.report_renderer_main_details):
         results_for_thread_category.AddDetailedResults(thread_category, results)