diff --git a/tt_eager/tt_dnn/op_library/auto_format.cpp b/tt_eager/tt_dnn/op_library/auto_format.cpp
index 744124b9763..e1584f735aa 100644
--- a/tt_eager/tt_dnn/op_library/auto_format.cpp
+++ b/tt_eager/tt_dnn/op_library/auto_format.cpp
@@ -8,7 +8,7 @@
 #include "tt_dnn/op_library/copy/copy_op.hpp"
 #include "tt_dnn/op_library/data_transfer/data_transfer_op.hpp"
 #include "tt_dnn/op_library/layout_conversion/layout_conversion_op.hpp"
-#include "tt_dnn/op_library/pad/pad_op.hpp"
+#include "ttnn/operations/data_movement/pad/pad.hpp"
 #include "tt_dnn/op_library/tilize/tilize_op.hpp"
 #include "tt_dnn/op_library/transpose/transpose_op.hpp"
 #include "tt_dnn/op_library/unpad/unpad_op.hpp"
@@ -93,14 +93,14 @@ Tensor AutoFormat::format_input_tensor(
             }
         } else if (!convert_layout && pad_input) {
             if (formatted_input.get_layout() == Layout::ROW_MAJOR || formatted_input.get_layout() == Layout::TILE) {
-                return pad(formatted_input, padded_shape, {0, 0, 0, 0}, pad_value, mem_config);
+                return ttnn::pad((const ttnn::Tensor) formatted_input, ttnn::Shape(padded_shape), ttnn::Shape({0, 0, 0, 0}), pad_value, mem_config);
             }
         } else if (convert_layout && pad_input) {
             if (formatted_input.get_layout() == Layout::ROW_MAJOR && target_layout == Layout::TILE) {
                 return tilize_with_val_padding(formatted_input, padded_shape, pad_value, mem_config);
             } else if (formatted_input.get_layout() == Layout::TILE && target_layout == Layout::ROW_MAJOR) {
                 formatted_input = untilize(formatted_input, mem_config);
-                return pad(formatted_input, padded_shape, {0, 0, 0, 0}, pad_value, mem_config);
+                return ttnn::pad((const ttnn::Tensor) formatted_input, ttnn::Shape(padded_shape), ttnn::Shape({0, 0, 0, 0}), pad_value, mem_config);
             }
         }
         // Fall back to host conversions
diff --git a/tt_eager/tt_dnn/op_library/backward/backward_ops.cpp b/tt_eager/tt_dnn/op_library/backward/backward_ops.cpp
index 5e0e97e28ba..9950ce27275 100644
--- a/tt_eager/tt_dnn/op_library/backward/backward_ops.cpp
+++ b/tt_eager/tt_dnn/op_library/backward/backward_ops.cpp
@@ -1607,8 +1607,8 @@ std::vector<Tensor> _prod_bw(
     // dim 0
     Tensor tensor_1_temp = reciprocal_input;
     if (reciprocal_input.get_legacy_shape()[0] % 32 != 0) {
-        std::vector<std::pair<uint32_t, uint32_t>> padding = {{0, 0},
-                      {0, 32 - (reciprocal_input.get_legacy_shape()[0] % 32)},
+        std::vector<std::pair<uint32_t, uint32_t>> padding = {{0, (32 - (reciprocal_input.get_legacy_shape()[0] % 32))},
+                      {0, 0},
                       {0, 0},
                       {0, 0}};
         tensor_1_temp = ttnn::pad(reciprocal_input, padding, 0,  std::nullopt);