diff --git a/tensorflow/core/kernels/save_restore_tensor.cc b/tensorflow/core/kernels/save_restore_tensor.cc
index 1a5b6b92bd6..baee31aa24a 100644
--- a/tensorflow/core/kernels/save_restore_tensor.cc
+++ b/tensorflow/core/kernels/save_restore_tensor.cc
@@ -301,6 +301,24 @@ struct RestoreOp {
       TF_RETURN_IF_ERROR(
           reader->LookupSlice(tensor_name, parsed_slice, restored_tensor));
     }
+    if (VLOG_IS_ON(5)) {
+      if (restored_tensor->dtype() == DT_FLOAT) {
+        const float* t_data = restored_tensor->flat<float>().data();
+        float min = std::numeric_limits<float>::infinity();
+        float max = -std::numeric_limits<float>::infinity();
+        float avg = 0.0;
+        for (int i = 0; i < restored_tensor->NumElements(); ++i) {
+          if (t_data[i] < min) min = t_data[i];
+          if (t_data[i] > max) max = t_data[i];
+          avg += t_data[i];
+        }
+        VLOG(5) << " min " << min << " max " << max << " avg "
+                << avg / restored_tensor->NumElements() << " total elts "
+                << restored_tensor->NumElements();
+      }
+    }
+    VLOG(1) << "Done restoring tensor " << idx << " : " << tensor_name << " : "
+            << restored_full_shape.num_elements();
     return Status::OK();
   }
 
diff --git a/tensorflow/core/kernels/save_restore_v2_ops.cc b/tensorflow/core/kernels/save_restore_v2_ops.cc
index 07e120e042c..9ea9fa4e6ef 100644
--- a/tensorflow/core/kernels/save_restore_v2_ops.cc
+++ b/tensorflow/core/kernels/save_restore_v2_ops.cc
@@ -112,6 +112,7 @@ class SaveV2 : public OpKernel {
     for (int i = 0; i < num_tensors; ++i) {
       const string& tensor_name = tensor_names_flat(i);
       const Tensor& tensor = context->input(i + kFixedInputs);
+      VLOG(2) << "Starting save of " << tensor_name;
 
       if (!shape_and_slices_flat(i).empty()) {
         const string& shape_spec = shape_and_slices_flat(i);
@@ -133,8 +134,28 @@ class SaveV2 : public OpKernel {
       } else {
         OP_REQUIRES_OK(context, writer.Add(tensor_name, tensor));
       }
+
+      if (VLOG_IS_ON(5)) {
+        if (tensor.dtype() == DT_FLOAT) {
+          const float* t_data = tensor.flat<float>().data();
+          float min = std::numeric_limits<float>::infinity();
+          float max = -std::numeric_limits<float>::infinity();
+          float avg = 0.0;
+          for (int i = 0; i < tensor.NumElements(); ++i) {
+            if (t_data[i] < min) min = t_data[i];
+            if (t_data[i] > max) max = t_data[i];
+            avg += t_data[i];
+          }
+          VLOG(5) << " min " << min << " max " << max << " avg "
+                  << avg / tensor.NumElements() << " total elts "
+                  << tensor.NumElements();
+        }
+      }
+
+      VLOG(2) << "Done save of " << tensor_name;
     }
     OP_REQUIRES_OK(context, writer.Finish());
+    VLOG(1) << "Done BundleWriter, prefix_string: " << prefix_string;
   }
 };
 REGISTER_KERNEL_BUILDER(Name("SaveV2").Device(DEVICE_CPU), SaveV2);