def _numa_get_constraints_auto(nodes, flavor, image_meta):
if ((flavor['vcpus'] % nodes) > 0 or (flavor['memory_mb'] % nodes) > 0):
raise exception.ImageNUMATopologyAsymmetric()
cells = []
for node in range(nodes):
cpus = _numa_get_flavor_or_image_prop(flavor, image_meta,
"numa_cpus.%d" % node)
mem = _numa_get_flavor_or_image_prop(flavor, image_meta,
"numa_mem.%d" % node)
# We're not expecting any properties set, so
# raise an error if there are any
if cpus is not None or mem is not None:
raise exception.ImageNUMATopologyIncomplete()
ncpus = int(flavor['vcpus'] / nodes)
mem = int(flavor['memory_mb'] / nodes)
start = node * ncpus
cpuset = set(range(start, start + ncpus))
cells.append(
objects.InstanceNUMACell(id=node, cpuset=cpuset, memory=mem))
return objects.InstanceNUMATopology(cells=cells)
def _get_constraints_auto(cls, nodes, flavor, image_meta):
if ((flavor.vcpus % nodes) > 0 or
(flavor.memory_mb % nodes) > 0):
raise exception.ImageNUMATopologyAsymmetric()
cells = []
for node in range(nodes):
cpus = cls._get_flavor_or_image_prop(
flavor, image_meta, "numa_cpus.%d" % node)
mem = cls._get_flavor_or_image_prop(
flavor, image_meta, "numa_mem.%d" % node)
# We're not expecting any properties set, so
# raise an error if there are any
if cpus is not None or mem is not None:
raise exception.ImageNUMATopologyIncomplete()
ncpus = int(flavor.vcpus / nodes)
mem = int(flavor.memory_mb / nodes)
start = node * ncpus
cpuset = set(range(start, start + ncpus))
cells.append(VirtNUMATopologyCell(node, cpuset, mem))
return cls(cells)
def _numa_get_constraints_auto(nodes, flavor):
if ((flavor.vcpus % nodes) > 0 or (flavor.memory_mb % nodes) > 0):
raise exception.ImageNUMATopologyAsymmetric()
cells = []
for node in range(nodes):
ncpus = int(flavor.vcpus / nodes)
mem = int(flavor.memory_mb / nodes)
start = node * ncpus
cpuset = set(range(start, start + ncpus))
cells.append(
objects.InstanceNUMACell(id=node, cpuset=cpuset, memory=mem))
return objects.InstanceNUMATopology(cells=cells)
