diff --git a/runtime/lib/ttnn/program.cpp b/runtime/lib/ttnn/program.cpp
index 17134289c..26a967a25 100644
--- a/runtime/lib/ttnn/program.cpp
+++ b/runtime/lib/ttnn/program.cpp
@@ -710,14 +710,7 @@ vectorToArray(const std::vector<int32_t> &vec) {
 template <int32_t Rank>
 static ::ttnn::Tensor invoke_reshape(const ::ttnn::Tensor &tensor,
                                      const std::vector<int32_t> &shape) {
-  // TDOO #686 - figure out how to call reshape in tile layout
-  if (tensor.get_layout() == ::ttnn::Layout::ROW_MAJOR) {
-    return ::ttnn::reshape(tensor, vectorToArray<Rank>(shape));
-  }
-
-  auto rowMajorTensor = untilize(tensor);
-  auto res = ::ttnn::reshape(rowMajorTensor, vectorToArray<Rank>(shape));
-  return tilize(res);
+  return ::ttnn::reshape(tensor, vectorToArray<Rank>(shape));
 }
 
 static void run(::tt::target::ttnn::ReshapeOp const *op,
diff --git a/test/ttmlir/Dialect/TTNN/reshape/reshape_fail_on_dims.mlir b/test/ttmlir/Dialect/TTNN/reshape/reshape_fail_on_dims.mlir
deleted file mode 100644
index 039fb31f7..000000000
--- a/test/ttmlir/Dialect/TTNN/reshape/reshape_fail_on_dims.mlir
+++ /dev/null
@@ -1,10 +0,0 @@
-// RUN: not ttmlir-opt --ttir-to-ttnn-backend-pipeline %s 2>&1 | FileCheck %s
-// CHECK: error: 'ttir.reshape' op Shape attribute must match the output tensor shape for dimensions that are not -1
-#any_device_tile = #tt.operand_constraint<dram|l1|tile|any_device_tile>
-module attributes {} {
-  func.func @forward(%arg0: tensor<4x2x32x34xbf16>) -> tensor<2x4x32x34xbf16> {
-    %0 = tensor.empty() : tensor<2x4x32x34xbf16>
-    %1 = "ttir.reshape"(%arg0, %0) <{shape = [3: i32, 4: i32, 32: i32, 34: i32] , operand_constraints = [#any_device_tile, #any_device_tile]}> : (tensor<4x2x32x34xbf16>, tensor<2x4x32x34xbf16>) -> tensor<2x4x32x34xbf16>
-    return %1 : tensor<2x4x32x34xbf16>
-  }
-}
diff --git a/test/ttmlir/Dialect/TTNN/reshape/simple_reshape.mlir b/test/ttmlir/Dialect/TTNN/reshape/simple_reshape.mlir
deleted file mode 100644
index e3f979a36..000000000
--- a/test/ttmlir/Dialect/TTNN/reshape/simple_reshape.mlir
+++ /dev/null
@@ -1,10 +0,0 @@
-// RUN: ttmlir-opt --ttir-to-ttnn-backend-pipeline %s | FileCheck %s
-#any_device_tile = #tt.operand_constraint<dram|l1|tile|any_device_tile>
-module attributes {} {
-  func.func @forward(%arg0: tensor<4x2x32x34xbf16>) -> tensor<2x4x32x34xbf16> {
-    %0 = tensor.empty() : tensor<2x4x32x34xbf16>
-    // CHECK: %[[C:.*]] = "ttnn.reshape"[[C:.*]]
-    %1 = "ttir.reshape"(%arg0, %0) <{shape = [2: i32, 4: i32, 32: i32, 34: i32] , operand_constraints = [#any_device_tile, #any_device_tile]}> : (tensor<4x2x32x34xbf16>, tensor<2x4x32x34xbf16>) -> tensor<2x4x32x34xbf16>
-    return %1 : tensor<2x4x32x34xbf16>
-  }
-}
diff --git a/test/ttmlir/Dialect/TTNN/simple_reshape.mlir b/test/ttmlir/Dialect/TTNN/simple_reshape.mlir
new file mode 100644
index 000000000..6b7c0edfe
--- /dev/null
+++ b/test/ttmlir/Dialect/TTNN/simple_reshape.mlir
@@ -0,0 +1,10 @@
+// RUN: ttmlir-opt --ttir-to-ttnn-backend-pipeline %s| FileCheck %s
+#any_device_tile = #tt.operand_constraint<dram|l1|tile|any_device_tile>
+module attributes {} {
+  func.func @forward(%arg0: tensor<4x2x32x32xbf16>) -> tensor<2x4x32x32xbf16> {
+    %0 = tensor.empty() : tensor<2x4x32x32xbf16>
+    // CHECK: %[[C:.*]] = "ttnn.reshape"[[C:.*]]
+    %1 = "ttir.reshape"(%arg0, %0) <{shape = [2: i32, 4: i32, 32: i32, 32: i32] , operand_constraints = [#any_device_tile, #any_device_tile]}> : (tensor<4x2x32x32xbf16>, tensor<2x4x32x32xbf16>) -> tensor<2x4x32x32xbf16>
+    return %1 : tensor<2x4x32x32xbf16>
+  }
+}
diff --git a/test/ttmlir/Silicon/TTNN/reshape/reshape_tile_aligned.mlir b/test/ttmlir/Silicon/TTNN/reshape/reshape_tile_aligned.mlir
deleted file mode 100644
index a94a0bb0c..000000000
--- a/test/ttmlir/Silicon/TTNN/reshape/reshape_tile_aligned.mlir
+++ /dev/null
@@ -1,12 +0,0 @@
-// RUN: ttmlir-opt --ttir-to-ttnn-backend-pipeline="system-desc-path=%system_desc_path%" %s > %t.mlir
-// RUN: FileCheck %s --input-file=%t.mlir
-// RUN: ttmlir-translate --ttnn-to-flatbuffer %t.mlir > %t.ttnn
-#any_device_tile = #tt.operand_constraint<dram|l1|tile|any_device_tile>
-module attributes {} {
-  func.func @forward(%arg0: tensor<4x2x32x32xbf16>) -> tensor<4x32x2x32xbf16> {
-    %0 = tensor.empty() : tensor<4x32x2x32xbf16>
-    // CHECK: %[[C:.*]] = "ttnn.reshape"[[C:.*]]
-    %1 = "ttir.reshape"(%arg0, %0) <{shape = [4: i32, 32: i32, 2: i32, 32: i32] , operand_constraints = [#any_device_tile, #any_device_tile]}> : (tensor<4x2x32x32xbf16>, tensor<4x32x2x32xbf16>) -> tensor<4x32x2x32xbf16>
-    return %1 : tensor<4x32x2x32xbf16>
-  }
-}
diff --git a/test/ttmlir/Silicon/TTNN/reshape/simple_reshape.mlir b/test/ttmlir/Silicon/TTNN/reshape/simple_reshape.mlir
deleted file mode 100644
index 5bdd940a2..000000000
--- a/test/ttmlir/Silicon/TTNN/reshape/simple_reshape.mlir
+++ /dev/null
@@ -1,12 +0,0 @@
-// RUN: ttmlir-opt --ttir-to-ttnn-backend-pipeline="system-desc-path=%system_desc_path%" %s > %t.mlir
-// RUN: FileCheck %s --input-file=%t.mlir
-// RUN: ttmlir-translate --ttnn-to-flatbuffer %t.mlir > %t.ttnn
-#any_device_tile = #tt.operand_constraint<dram|l1|tile|any_device_tile>
-module attributes {} {
-  func.func @forward(%arg0: tensor<4x2x32x34xbf16>) -> tensor<2x4x32x34xbf16> {
-    %0 = tensor.empty() : tensor<2x4x32x34xbf16>
-    // CHECK: %[[C:.*]] = "ttnn.reshape"[[C:.*]]
-    %1 = "ttir.reshape"(%arg0, %0) <{shape = [2: i32, 4: i32, 32: i32, 34: i32] , operand_constraints = [#any_device_tile, #any_device_tile]}> : (tensor<4x2x32x34xbf16>, tensor<2x4x32x34xbf16>) -> tensor<2x4x32x34xbf16>
-    return %1 : tensor<2x4x32x34xbf16>
-  }
-}