From c4d787fd4f2c4a03b81d88c2c28f37ba5fe8941d Mon Sep 17 00:00:00 2001
From: jserbedzija <jserbedzija@tenstorrent.com>
Date: Mon, 3 Feb 2025 14:50:03 +0000
Subject: [PATCH] DEBUG

---
 runtime/lib/ttnn/operations/conv/conv2d.cpp | 57 +++++++++++++++++++++
 1 file changed, 57 insertions(+)

diff --git a/runtime/lib/ttnn/operations/conv/conv2d.cpp b/runtime/lib/ttnn/operations/conv/conv2d.cpp
index 74a579f070..4fc5b769ce 100644
--- a/runtime/lib/ttnn/operations/conv/conv2d.cpp
+++ b/runtime/lib/ttnn/operations/conv/conv2d.cpp
@@ -10,6 +10,31 @@
 #include "ttmlir/Target/TTNN/program_generated.h"
 #include "ttnn/types.hpp"
 
+#include "flatbuffers/flatbuffers.h"
+#include <iostream>
+
+// Assume `vec` is a pointer to ::flatbuffers::Vector<int32_t>
+void PrintFlatBufferVector(const flatbuffers::Vector<int32_t> *vec) {
+  if (!vec) {
+    std::cout << "Vector is null." << std::endl;
+    return;
+  }
+
+  std::cout << "Vector elements: [";
+  for (size_t i = 0; i < vec->size(); ++i) {
+    std::cout << vec->Get(i);
+    if (i < vec->size() - 1) {
+      std::cout << ", ";
+    }
+  }
+  std::cout << "]" << std::endl;
+}
+
+template <typename T, size_t N>
+void PrintArray(const std::array<T, N> &arr, const std::string &name) {
+  std::cout << name << ": [" << arr[0] << ", " << arr[1] << "]" << std::endl;
+}
+
 namespace tt::runtime::ttnn::operations::conv {
 void run(const ::tt::target::ttnn::Conv2dOp *op, ProgramContext &context) {
   ProgramTensorPool &tensorPool = context.getTensorPool();
@@ -29,6 +54,38 @@ void run(const ::tt::target::ttnn::Conv2dOp *op, ProgramContext &context) {
   std::copy(op->padding()->begin(), op->padding()->end(), padding.begin());
   std::copy(op->dilation()->begin(), op->dilation()->end(), dilation.begin());
 
+  std::cout << "In channels: " << op->in_channels() << std::endl;
+  std::cout << "Out channels: " << op->out_channels() << std::endl;
+  std::cout << "Batch size: " << op->batch_size() << std::endl;
+  std::cout << "Input height: " << op->input_height() << std::endl;
+  std::cout << "Input width: " << op->input_width() << std::endl;
+
+  std::cout << "Kernel size: ";
+  PrintFlatBufferVector(op->kernel_size());
+
+  std::cout << "Stride: ";
+  PrintFlatBufferVector(op->stride());
+
+  std::cout << "Padding: ";
+  PrintFlatBufferVector(op->padding());
+
+  std::cout << "Dilation: ";
+  PrintFlatBufferVector(op->dilation());
+
+  std::cout << "Moj Kernel: " << kernelSize[0] << ", " << kernelSize[1]
+            << std::endl;
+  PrintArray(stride, "Stride");
+  std::cout
+      << "***************************** TEST TEST ************************"
+      << std::endl;
+  std::cout
+      << "***************************** TEST1 TEST ************************"
+      << std::endl;
+  std::cout << "Moj Padding: " << padding[0] << ", " << padding[1] << std::endl;
+  std::cout << "Moj Dilation: " << dilation[0] << ", " << dilation[1]
+            << std::endl;
+  std::cout << "Groups: " << op->groups() << std::endl;
+
   std::optional<::ttnn::operations::conv::Conv2dConfig> conv2dConfig =
       op->conv2d_config()
           ? std::make_optional(