#8364: Revert "skip concat tests which fallback to torch"

This reverts commit bf163e2.

tests/ttnn/unit_tests/operations/test_concat.py

@@ -15,9 +15,6 @@
 @pytest.mark.parametrize("width", [4, 32])
 @pytest.mark.parametrize("dim", [0, 1])
 def test_concat(device, height, width, dim):
-    if height % ttnn.TILE_SIZE != 0 or width % ttnn.TILE_SIZE != 0:
-        pytest.skip("ttnn.concat only supports tensors with Layout.TILE_LAYOUT without a padding")
-
     torch_input_tensor_a = torch.rand((height, width), dtype=torch.bfloat16)
     torch_input_tensor_b = torch.rand((height, width), dtype=torch.bfloat16)
     torch_output_tensor = torch.concat([torch_input_tensor_a, torch_input_tensor_b], dim=dim)
@@ -81,8 +78,6 @@ def test_concat(device, height, width, dim):
 def test_sharded_concat(
     device, input_shape_a, shard_shape_a, input_shape_b, shard_shape_b, output_shard_shape, shard_grid
 ):
-    pytest.skip("ttnn.concat only supports tensors with Layout.TILE_LAYOUT without a padding")
-
     input_a_sharded_memory_config = ttnn.create_sharded_memory_config(
         shard_shape_a,
         core_grid=shard_grid,

ttnn/ttnn/operations/data_movement.py

@@ -328,9 +328,7 @@ def concat(
             output_tensor = ttnn.squeeze(output_tensor, dim=0)
         return output_tensor
     else:
-        raise NotImplementedError(
-            "ttnn.concat only supports tensors with Layout.TILE_LAYOUT without a padding, with rank <= 4"
-        )
+        raise NotImplementedError
 
 
 def _golden_function(input_tensor, split_size, dim):