batch norm: auto-upgrade old layer definitions w/ param messages

automatically strip old batch norm layer definitions including `param`
messages. the batch norm layer used to require manually masking its
state from the solver by setting `param { lr_mult: 0 }` messages for
each of its statistics. this is now handled automatically by the layer.

2 files changed, 39 insertions, 1 deletions

diff --git a/include/caffe/util/upgrade_proto.hpp b/include/caffe/util/upgrade_proto.hpp
index 14e1936a..b145822a 100644
--- a/include/caffe/util/upgrade_proto.hpp
+++ b/include/caffe/util/upgrade_proto.hpp
@@ -65,6 +65,12 @@ bool NetNeedsInputUpgrade(const NetParameter& net_param);
 // Perform all necessary transformations to upgrade input fields into layers.
 void UpgradeNetInput(NetParameter* net_param);
 
+// Return true iff the Net contains batch norm layers with manual local LRs.
+bool NetNeedsBatchNormUpgrade(const NetParameter& net_param);
+
+// Perform all necessary transformations to upgrade batch norm layers.
+void UpgradeNetBatchNorm(NetParameter* net_param);
+
 // Return true iff the solver contains any old solver_type specified as enums
 bool SolverNeedsTypeUpgrade(const SolverParameter& solver_param);
 
diff --git a/src/caffe/util/upgrade_proto.cpp b/src/caffe/util/upgrade_proto.cpp
index 9e186915..a0aacbe9 100644
--- a/src/caffe/util/upgrade_proto.cpp
+++ b/src/caffe/util/upgrade_proto.cpp
@@ -14,7 +14,8 @@ namespace caffe {
 
 bool NetNeedsUpgrade(const NetParameter& net_param) {
   return NetNeedsV0ToV1Upgrade(net_param) || NetNeedsV1ToV2Upgrade(net_param)
-      || NetNeedsDataUpgrade(net_param) || NetNeedsInputUpgrade(net_param);
+      || NetNeedsDataUpgrade(net_param) || NetNeedsInputUpgrade(net_param)
+      || NetNeedsBatchNormUpgrade(net_param);
 }
 
 bool UpgradeNetAsNeeded(const string& param_file, NetParameter* param) {
@@ -71,6 +72,14 @@ bool UpgradeNetAsNeeded(const string& param_file, NetParameter* param) {
     LOG(WARNING) << "Note that future Caffe releases will only support "
                  << "input layers and not input fields.";
   }
+  // NetParameter uses old style batch norm layers; try to upgrade it.
+  if (NetNeedsBatchNormUpgrade(*param)) {
+    LOG(INFO) << "Attempting to upgrade batch norm layers using deprecated "
+              << "params: " << param_file;
+    UpgradeNetBatchNorm(param);
+    LOG(INFO) << "Successfully upgraded batch norm layers using deprecated "
+              << "params.";
+  }
   return success;
 }
 
@@ -991,6 +1000,29 @@ void UpgradeNetInput(NetParameter* net_param) {
   net_param->clear_input_dim();
 }
 
+bool NetNeedsBatchNormUpgrade(const NetParameter& net_param) {
+  for (int i = 0; i < net_param.layer_size(); ++i) {
+    // Check if BatchNorm layers declare three parameters, as required by
+    // the previous BatchNorm layer definition.
+    if (net_param.layer(i).type() == "BatchNorm"
+        && net_param.layer(i).param_size() == 3) {
+      return true;
+    }
+  }
+  return false;
+}
+
+void UpgradeNetBatchNorm(NetParameter* net_param) {
+  for (int i = 0; i < net_param->layer_size(); ++i) {
+    // Check if BatchNorm layers declare three parameters, as required by
+    // the previous BatchNorm layer definition.
+    if (net_param->layer(i).type() == "BatchNorm"
+        && net_param->layer(i).param_size() == 3) {
+      net_param->mutable_layer(i)->clear_param();
+    }
+  }
+}
+
 // Return true iff the solver contains any old solver_type specified as enums
 bool SolverNeedsTypeUpgrade(const SolverParameter& solver_param) {
   if (solver_param.has_solver_type()) {