PyAuto test for GPU memory consumption

content/gpu/gpu_child_thread.cc

Index: content/gpu/gpu_child_thread.cc
diff --git a/content/gpu/gpu_child_thread.cc b/content/gpu/gpu_child_thread.cc
index 76f482efcc4052d0d60d2ac1a5badf965e9e549a..161b7b5510c44a5f0d97d84f4531a154caae23e7 100644
--- a/content/gpu/gpu_child_thread.cc
+++ b/content/gpu/gpu_child_thread.cc
@@ -98,6 +98,7 @@ bool GpuChildThread::OnControlMessageReceived(const IPC::Message& msg) {
   IPC_BEGIN_MESSAGE_MAP_EX(GpuChildThread, msg, msg_is_ok)
     IPC_MESSAGE_HANDLER(GpuMsg_Initialize, OnInitialize)
     IPC_MESSAGE_HANDLER(GpuMsg_CollectGraphicsInfo, OnCollectGraphicsInfo)
+    IPC_MESSAGE_HANDLER(GpuMsg_GetMemStats, OnGetMemStats)
     IPC_MESSAGE_HANDLER(GpuMsg_Clean, OnClean)
     IPC_MESSAGE_HANDLER(GpuMsg_Crash, OnCrash)
     IPC_MESSAGE_HANDLER(GpuMsg_Hang, OnHang)
@@ -216,6 +217,16 @@ void GpuChildThread::OnCollectGraphicsInfo() {
   Send(new GpuHostMsg_GraphicsInfoCollected(gpu_info_));
 }
 
+void GpuChildThread::OnGetMemStats() {
+  // TODO - call into gpu_channel_manager_->gpu_memory_manager() to get the
+  //        data needed to populate stats.  For now, just lie.
+  content::GpuMemStats stats;
+  stats.currently_allocated_bytes = 16*1024*1024;
+  stats.max_concurrently_allocated_bytes = 32*1024*1024;
+  stats.total_bytes = 64*1024*1024;
+  Send(new GpuHostMsg_MemStats(stats));
+}
+
 void GpuChildThread::OnClean() {
   VLOG(1) << "GPU: Removing all contexts";
   if (gpu_channel_manager_.get())