diff --git a/backends/vulkan/runtime/api/Runtime.cpp b/backends/vulkan/runtime/api/Runtime.cpp
index b470435a894..dee9f94fd3b 100644
--- a/backends/vulkan/runtime/api/Runtime.cpp
+++ b/backends/vulkan/runtime/api/Runtime.cpp
@@ -16,6 +16,22 @@
 namespace vkcompute {
 namespace api {
 
+#define PRINT_CASE(name)       \
+  case MemoryAccessType::name: \
+    out << #name;              \
+    break;
+
+std::ostream& operator<<(std::ostream& out, const MemoryAccessType& tag) {
+  switch (tag) {
+    PRINT_CASE(NONE)
+    PRINT_CASE(READ)
+    PRINT_CASE(WRITE)
+  }
+  return out;
+}
+
+#undef PRINT_CASE
+
 namespace {
 
 void find_requested_layers_and_extensions(
diff --git a/backends/vulkan/runtime/graph/ComputeGraph.h b/backends/vulkan/runtime/graph/ComputeGraph.h
index 24117d39f9f..28bb3ecf123 100644
--- a/backends/vulkan/runtime/graph/ComputeGraph.h
+++ b/backends/vulkan/runtime/graph/ComputeGraph.h
@@ -312,6 +312,12 @@ class ComputeGraph final {
 
   void resize_input(const int64_t idx, const std::vector<int64_t>& new_sizes);
   void propagate_resize();
+
+  //
+  // Debug support (implemented in Logging.cpp)
+  //
+
+  void print_readable();
 };
 
 template <typename T>
diff --git a/backends/vulkan/runtime/graph/Logging.cpp b/backends/vulkan/runtime/graph/Logging.cpp
new file mode 100644
index 00000000000..b5994d4a21c
--- /dev/null
+++ b/backends/vulkan/runtime/graph/Logging.cpp
@@ -0,0 +1,175 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#include <executorch/backends/vulkan/runtime/graph/Logging.h>
+
+#include <executorch/backends/vulkan/runtime/graph/ComputeGraph.h>
+
+#include <iomanip>
+#include <iostream>
+#include <map>
+#include <set>
+
+namespace vkcompute {
+
+void ComputeGraph::print_readable() {
+  std::set<ValueRef> input_set;
+  for (const IOValueRef& io_val : inputs()) {
+    input_set.insert(io_val.value);
+  }
+
+  std::set<ValueRef> output_set;
+  for (const IOValueRef& io_val : outputs()) {
+    output_set.insert(io_val.value);
+  }
+
+  std::set<ValueRef> prepack_set;
+  for (const std::unique_ptr<PrepackNode>& node : prepack_nodes()) {
+    prepack_set.insert(node->tref_);
+    prepack_set.insert(node->packed_);
+  }
+
+  std::map<ValueRef, size_t> value_ref_to_shared_object_idx;
+
+  std::cout << "====================" << std::left << std::setfill('=')
+            << std::setw(40) << " Shared Object List " << std::right
+            << std::setfill(' ') << std::endl;
+
+  std::cout << std::setw(6) << "idx" << std::setw(20) << "sizes"
+            << std::setw(24) << "users" << std::endl;
+
+  size_t so_idx = 0;
+  for (const SharedObject& shared_object : shared_objects_) {
+    std::cout << std::setw(6) << so_idx;
+    {
+      std::stringstream ss;
+      ss << shared_object.aggregate_memory_requirements.size;
+      std::cout << std::setw(20) << ss.str();
+    }
+
+    {
+      std::stringstream ss;
+      ss << shared_object.users;
+      std::cout << std::setw(24) << ss.str();
+    }
+    std::cout << std::endl;
+
+    for (const ValueRef& user : shared_object.users) {
+      value_ref_to_shared_object_idx[user] = so_idx;
+    }
+
+    so_idx++;
+  }
+
+  std::cout << "====================" << std::left << std::setfill('=')
+            << std::setw(40) << " Value List " << std::right
+            << std::setfill(' ') << std::endl;
+
+  std::cout << std::setw(6) << "idx" << std::setw(10) << "type" << std::setw(20)
+            << "sizes" << std::setw(10) << "node_type" << std::setw(10)
+            << "so_idx" << std::endl;
+
+  size_t value_idx = 0;
+  for (Value& val : values_) {
+    std::cout << std::setw(6) << value_idx << std::setw(10) << val.type();
+
+    // sizes
+    std::cout << std::setw(20);
+    if (val.isTensor()) {
+      const vTensor& v_tensor = val.toTensor();
+      std::stringstream ss;
+      ss << v_tensor.sizes();
+      std::cout << ss.str();
+    } else if (val.isTensorRef()) {
+      const TensorRef& tensor_ref = val.toTensorRef();
+      std::stringstream ss;
+      ss << tensor_ref.sizes;
+      std::cout << ss.str();
+    } else {
+      std::cout << "";
+    }
+
+    // Node type
+    std::cout << std::setw(10);
+    {
+      if (input_set.count(value_idx) > 0) {
+        std::cout << "INPUT";
+      } else if (output_set.count(value_idx) > 0) {
+        std::cout << "OUTPUT";
+      } else if (prepack_set.count(value_idx) > 0) {
+        std::cout << "PREPACK";
+      } else {
+        std::cout << "";
+      }
+    }
+
+    std::cout << std::setw(10);
+    if (value_ref_to_shared_object_idx.count(value_idx) > 0) {
+      size_t shared_obj_idx = value_ref_to_shared_object_idx.at(value_idx);
+      std::cout << shared_obj_idx;
+    } else {
+      std::cout << "";
+    }
+
+    std::cout << std::endl;
+    value_idx++;
+  }
+
+  std::cout << "====================" << std::left << std::setfill('=')
+            << std::setw(40) << " Prepack Node List " << std::right
+            << std::setfill(' ') << std::endl;
+  std::cout << std::setw(6) << "idx" << std::setw(32) << "shader_name"
+            << std::setw(8) << "tref" << std::setw(8) << "packed" << std::endl;
+
+  size_t prepack_node_idx = 0;
+  for (const std::unique_ptr<PrepackNode>& node : prepack_nodes()) {
+    std::cout << std::setw(6) << prepack_node_idx << std::setw(32)
+              << node->shader_.kernel_name << std::setw(8) << node->tref_
+              << std::setw(8) << node->packed_ << std::endl;
+
+    prepack_node_idx++;
+  }
+
+  std::cout << "====================" << std::left << std::setfill('=')
+            << std::setw(40) << " Execute Node List " << std::right
+            << std::setfill(' ') << std::endl;
+
+  std::cout << std::setw(6) << "idx" << std::setw(32) << "shader_name"
+            << std::setw(24) << "READ_arg" << std::setw(24) << "WRITE_arg"
+            << std::endl;
+
+  size_t node_idx = 0;
+  for (const std::unique_ptr<ExecuteNode>& node : execute_nodes()) {
+    std::cout << std::setw(6) << node_idx;
+    std::cout << std::setw(32) << node->shader_.kernel_name;
+
+    std::stringstream read_s;
+    for (const ArgGroup& arg_group : node->args_) {
+      if (arg_group.access != api::MemoryAccessType::READ) {
+        continue;
+      }
+      read_s << arg_group.refs;
+    }
+    std::cout << std::setw(24) << read_s.str();
+
+    std::stringstream write_s;
+    for (const ArgGroup& arg_group : node->args_) {
+      if (arg_group.access != api::MemoryAccessType::WRITE) {
+        continue;
+      }
+      write_s << arg_group.refs;
+    }
+    std::cout << std::setw(24) << write_s.str();
+
+    std::cout << std::endl;
+
+    node_idx++;
+  }
+}
+
+} // namespace vkcompute
diff --git a/backends/vulkan/runtime/graph/Logging.h b/backends/vulkan/runtime/graph/Logging.h
new file mode 100644
index 00000000000..fd455321952
--- /dev/null
+++ b/backends/vulkan/runtime/graph/Logging.h
@@ -0,0 +1,26 @@
+/*
+ * Copyright (c) Meta Platforms, Inc. and affiliates.
+ * All rights reserved.
+ *
+ * This source code is licensed under the BSD-style license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+
+#pragma once
+
+#include <ostream>
+#include <vector>
+
+namespace vkcompute {
+
+template <typename T>
+inline std::ostream& operator<<(std::ostream& os, const std::vector<T>& vec) {
+  os << '[';
+  for (const auto& elem : vec) {
+    os << elem << ',';
+  }
+  os << ']';
+  return os; // Return the ostream to allow chaining
+}
+
+} // namespace vkcompute