Update base for Update on "[ET-VK] buffer implementation of rotary positional embeddings"

Title says it all!

Differential Revision: [D86340338](https://our.internmc.facebook.com/intern/diff/D86340338/)

[ghstack-poisoned]

Author: ssjia

backends/vulkan/test/test_vulkan_delegate.py

@@ -11,20 +11,14 @@
 from typing import Tuple
 
 import executorch.backends.vulkan.test.utils as test_utils
-
 import torch
-
 from executorch.backends.transforms.convert_dtype_pass import I64toI32
-
 from executorch.backends.vulkan.partitioner.vulkan_partitioner import VulkanPartitioner
-
 from executorch.backends.vulkan.vulkan_preprocess import VulkanBackend
-
 from executorch.backends.xnnpack.quantizer.xnnpack_quantizer import (
     get_symmetric_quantization_config,
     XNNPACKQuantizer,
 )
-
 from executorch.exir import (
     EdgeCompileConfig,
     EdgeProgramManager,
@@ -36,11 +30,8 @@
 )
 from executorch.extension.pytree import tree_flatten
 from torch.export import Dim, export, ExportedProgram
-
 from torchao.quantization.granularity import PerGroup
-
 from torchao.quantization.pt2e.quantize_pt2e import convert_pt2e, prepare_pt2e
-
 from torchao.quantization.pt2e.quantizer import Quantizer
 from torchao.quantization.quant_api import IntxWeightOnlyConfig, quantize_
 from torchao.utils import unwrap_tensor_subclass
@@ -69,9 +60,6 @@ def lower_module(
     edge_program = to_edge_transform_and_lower(
         program,
         compile_config=edge_compile_config,
-        transform_passes=[
-            I64toI32(edge_compile_config._skip_dim_order),
-        ],
         partitioner=[VulkanPartitioner(compile_options)],
     )