Add Android toolchain benchmark suite

Add Android toolchain benchmark suite into toolchain-utils, which will
be synced to Android Repository.

BUG=None

TEST=None

Change-Id: Iee1ba9aa21a99ff6ce8d669c59d53af6e953703c
Reviewed-on: https://chromium-review.googlesource.com/569481
Commit-Ready: Zhizhou Yang <zhizhouy@chromium.org>
Tested-by: Zhizhou Yang <zhizhouy@chromium.org>
Reviewed-by: Luis Lozano <llozano@chromium.org>

1 files changed, 114 insertions, 0 deletions

diff --git a/android_bench_suite/parse_result.py b/android_bench_suite/parse_result.py
new file mode 100644
index 00000000..90b3c4d1
--- /dev/null
+++ b/android_bench_suite/parse_result.py
@@ -0,0 +1,114 @@
+# Copyright 2017 The Chromium OS Authors. All rights reserved.
+# Use of this source code is governed by a BSD-style license that can be
+# found in the LICENSE file.
+"""Helper functions to parse result collected from device"""
+
+from __future__ import print_function
+from fix_skia_results import _TransformBenchmarks
+
+import json
+
+def normalize(bench, dict_list):
+  bench_base = {
+      'Panorama': 1,
+      'Dex2oat': 1,
+      'Hwui': 10000,
+      'Skia': 1,
+      'Synthmark': 1,
+      'Binder': 0.001
+  }
+  result_dict = dict_list[0]
+  for key in result_dict:
+    result_dict[key] = result_dict[key] / bench_base[bench]
+  return [result_dict]
+
+
+# Functions to parse benchmark result for data collection.
+def parse_Panorama(bench, fin):
+  result_dict = {}
+  for line in fin:
+    words = line.split()
+    if 'elapsed' in words:
+      #TODO: Need to restructure the embedded word counts.
+      result_dict['total_time_s'] = float(words[3])
+      result_dict['retval'] = 0
+      return normalize(bench, [result_dict])
+  raise ValueError('You passed the right type of thing, '
+                   'but it didn\'t have the expected contents.')
+
+
+def parse_Synthmark(bench, fin):
+  result_dict = {}
+  accum = 0
+  cnt = 0
+  for line in fin:
+    words = line.split()
+    if 'normalized' in words:
+      #TODO: Need to restructure the embedded word counts.
+      accum += float(words[-1])
+      cnt += 1
+  if accum != 0:
+    result_dict['total_voices'] = accum / cnt
+    result_dict['retval'] = 0
+    return normalize(bench, [result_dict])
+  raise ValueError('You passed the right type of thing, '
+                   'but it didn\'t have the expected contents.')
+
+
+def parse_Binder(bench, fin):
+  result_dict = {}
+  accum = 0
+  cnt = 0
+  for line in fin:
+    words = line.split()
+    for word in words:
+      if 'average' in word:
+        #TODO: Need to restructure the embedded word counts.
+        accum += float(word[8:-2])
+        cnt += 1
+  if accum != 0:
+    result_dict['avg_time_ms'] = accum / cnt
+    result_dict['retval'] = 0
+    return normalize(bench, [result_dict])
+  raise ValueError('You passed the right type of thing, '
+                   'but it didn\'t have the expected contents.')
+
+
+def parse_Dex2oat(bench, fin):
+  result_dict = {}
+  cnt = 0
+  for line in fin:
+    words = line.split()
+    if 'elapsed' in words:
+      cnt += 1
+      #TODO: Need to restructure the embedded word counts.
+      if cnt == 1:
+        # First 'elapsed' time is for microbench 'Chrome'
+        result_dict['chrome_s'] = float(words[3])
+      elif cnt == 2:
+        # Second 'elapsed' time is for microbench 'Camera'
+        result_dict['camera_s'] = float(words[3])
+
+        result_dict['retval'] = 0
+        # Two results found, return
+        return normalize(bench, [result_dict])
+  raise ValueError('You passed the right type of thing, '
+                   'but it didn\'t have the expected contents.')
+
+
+def parse_Hwui(bench, fin):
+  result_dict = {}
+  for line in fin:
+    words = line.split()
+    if 'elapsed' in words:
+      #TODO: Need to restructure the embedded word counts.
+      result_dict['total_time_s'] = float(words[3])
+      result_dict['retval'] = 0
+      return normalize(bench, [result_dict])
+  raise ValueError('You passed the right type of thing, '
+                   'but it didn\'t have the expected contents.')
+
+
+def parse_Skia(bench, fin):
+  obj = json.load(fin)
+  return normalize(bench, _TransformBenchmarks(obj))