diff --git a/core/partitioning/PartitionInfo.cpp b/core/partitioning/PartitionInfo.cpp
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/core/partitioning/PartitionInfo.h b/core/partitioning/PartitionInfo.h
index d1a8aca321..7747c00503 100644
--- a/core/partitioning/PartitionInfo.h
+++ b/core/partitioning/PartitionInfo.h
@@ -14,6 +14,8 @@ struct PartitionInfo {
     std::vector<std::string> forced_fallback_operators;
 };
 
+std::ostream& operator<<(std::ostream& os, const PartitionInfo& s);
+
 } // namespace partitioning
 } // namespace core
 } // namespace trtorch
\ No newline at end of file
diff --git a/core/partitioning/partitioning.cpp b/core/partitioning/partitioning.cpp
index dde3c674ef..924a9d1ed7 100644
--- a/core/partitioning/partitioning.cpp
+++ b/core/partitioning/partitioning.cpp
@@ -204,6 +204,8 @@ std::vector<SegmentedBlock> Partition(
     std::shared_ptr<torch::jit::Graph> g,
     std::vector<ir::InputRange>& input_ranges,
     const PartitionInfo& partition_info) {
+
+  LOG_DEBUG(partition_info);
   // segment lowering global graph into blocks
   std::vector<SegmentedBlock> segmented_blocks = segment_graph(g, partition_info);
 
diff --git a/py/trtorch/csrc/tensorrt_classes.cpp b/py/trtorch/csrc/tensorrt_classes.cpp
index 2686d3c650..a0b22f8367 100644
--- a/py/trtorch/csrc/tensorrt_classes.cpp
+++ b/py/trtorch/csrc/tensorrt_classes.cpp
@@ -108,10 +108,10 @@ core::CompileSpec CompileSpec::toInternalCompileSpec() {
   info.convert_info.engine_settings.device.gpu_id = device.gpu_id;
   info.convert_info.engine_settings.device.dla_core = device.dla_core;
   info.convert_info.engine_settings.device.allow_gpu_fallback = device.allow_gpu_fallback;
-  info.convert_info.engine_settings.torch_fallback.enabled = torch_fallback.enabled;
   info.partition_info.enabled = torch_fallback.enabled;
   info.partition_info.min_block_size = torch_fallback.min_block_size;
   info.partition_info.forced_fallback_operators = torch_fallback.forced_fallback_operators;
+  info.convert_info.engine_settings.truncate_long_and_double = truncate_long_and_double;
 
   info.convert_info.engine_settings.capability = toTRTEngineCapability(capability);
   TRTORCH_CHECK(num_min_timing_iters >= 0, "num_min_timing_iters must be 0 or greater");
@@ -148,6 +148,15 @@ std::string CompileSpec::stringify() {
   ss << "     \"Workspace Size\": " << workspace_size << std::endl;
   ss << "     \"Max Batch Size\": " << max_batch_size << std::endl;
   ss << "     \"Truncate long and double\": " << truncate_long_and_double << std::endl;
+  ss << "    \"Torch Fallback: {" << std::endl;
+  ss << "        \"enabled\": " << torch_fallback.enabled ? "True" : "False" << std::endl;
+  ss << "        \"min_block_size\": " << torch_fallback.min_block_size << std::endl;
+  ss << "        \"forced_fallback_operators\": [" << std::endl;
+  for (auto i : torch_fallback.forced_fallback_operators) {
+    ss << "            " << i << ',' << std::endl;
+  }
+  ss << "        ]" << std::endl;
+  ss << "    }" << std::endl;
   ss << "}";
   return ss.str();
 }