mmMemoryGPU - don't print verbose error from missing GPU

When a MRenderer cannot be found, lets just print that and allow the
command to continue successfully.

An MRenderer is probably not found if Maya is running in a batch-mode
without any GPU, for example in a Docker container, or the Linux machine
is not running a X11 display server.

Author: david-cattermole

python/mmSolver/tools/imagecache/_lib/query_resources.py

@@ -31,11 +31,17 @@
 
 
 def get_gpu_memory_total_bytes():
-    return int(maya.cmds.mmMemoryGPU(query=True, total=True))
+    total_bytes = maya.cmds.mmMemoryGPU(query=True, total=True)
+    if total_bytes is None:
+        return 0
+    return int(total_bytes)
 
 
 def get_gpu_memory_used_bytes():
-    return int(maya.cmds.mmMemoryGPU(query=True, used=True))
+    used_bytes = maya.cmds.mmMemoryGPU(query=True, used=True)
+    if used_bytes is None:
+        return 0
+    return int(used_bytes)
 
 
 def get_cpu_memory_total_bytes():

src/mmSolver/cmd/MMMemoryGPUCmd.cpp

@@ -41,6 +41,9 @@
 #include <maya/MStringArray.h>
 #include <maya/MSyntax.h>
 
+// Maya Viewport 2.0
+#include <maya/MViewport2Renderer.h>
+
 // MM Solver
 #include <mmcolorio/lib.h>
 
@@ -159,6 +162,17 @@ MStatus MMMemoryGPUCmd::doIt(const MArgList &args) {
     MStatus status = parseArgs(args);
     CHECK_MSTATUS_AND_RETURN_IT(status);
 
+    // When running without a GPU (for example in a Docker container),
+    // don't Spam the user with warnings and errors that the MRenderer
+    // cannot be found.
+    const MHWRender::MRenderer *renderer = MHWRender::MRenderer::theRenderer();
+    if (!renderer) {
+        MMSOLVER_MAYA_WRN(
+            "mmMemoryGPU: Failed to get Maya MRenderer! "
+            "Maybe running on a machine without a GPU?");
+        return MStatus::kSuccess;
+    }
+
     size_t bytes_value = 0;
     if (m_memory_total) {
         status = mmmemorygpu::memory_total_size_in_bytes(bytes_value);