Update base for Update on "[ET-VK] New Implementation of `permute' operator"

## Changes

* Introduce `permute_buffer.glsl` and `permute_texture.glsl` compute shader templates to implement the permute operator

## Motivation

The existing implementation of permute produced incorrect outputs for width packed textures. Furthermore, there was no buffer implementation for the permute operator.

My goal with this diff is to introduce a more flexible implementation of permute that could work for any tensor representation.

## Performance impact

None expected.

Differential Revision: [D76483755](https://our.internmc.facebook.com/intern/diff/D76483755/)

[ghstack-poisoned]

Author: SS-JIA

.ci/scripts/benchmark_tooling/README.md

@@ -77,16 +77,16 @@ python3 .ci/scripts/benchmark_tooling/analyze_benchmark_stability.py \
 
 ##### Filtering Options:
 
-- `--device-pools`: Filter by private device pool names (e.g., "samsung-galaxy-s22-5g", "samsung-galaxy-s22plus-5g")
+- `--device-pools`: Filter by device pool names (e.g., "apple_iphone_15_private", "samsung_s22_private")
 - `--backends`: Filter by specific backend names (e.g.,"xnnpack_q8")
-- `--models`: Filter by specific model names (e.g., "mv3", "meta-llama-llama-3.2-1b-instruct-qlora-int4-eo8")
+- `--models`: Filter by specific model names (e.g., "mv3", "meta-llama/Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8")
 
 #### Example Usage
 
 Filter by multiple private device pools and models:
 ```bash
 # This fetches all private table data for models 'llama-3.2-1B' and 'mv3'
-python3 get_benchmark_analysis_data.py \
+python3 .ci/scripts/benchmark_tooling/get_benchmark_analysis_data.py \
   --startTime "2025-06-01T00:00:00" \
   --endTime "2025-06-11T00:00:00" \
   --device-pools 'apple_iphone_15_private' 'samsung_s22_private' \
@@ -97,7 +97,7 @@ Filter by specific device pool and models:
 ```bash
 # This fetches all private iPhone table data for models 'llama-3.2-1B' and 'mv3',
 # and associated public iPhone data
-python3 get_benchmark_analysis_data.py \
+python3 .ci/scripts/benchmark_tooling/get_benchmark_analysis_data.py \
   --startTime "2025-06-01T00:00:00" \
   --endTime "2025-06-11T00:00:00" \
   --device-pools 'apple_iphone_15_private' \
@@ -140,22 +140,6 @@ fetcher.run(
     end_time="2025-06-17T18:00:00"
 )
 
-# Get results in different formats
-# As DataFrames
-df_results = fetcher.to_df()
-
-# Export to Excel
-fetcher.to_excel(output_dir="./results")
-
-# Export to CSV
-fetcher.to_csv(output_dir="./results")
-
-# Export to JSON
-json_path = fetcher.to_json(output_dir="./results")
-
-# Get raw dictionary results
-dict_results = fetcher.to_dict()
-
 # Use the output_data method for flexible output
 results = fetcher.output_data(output_type="excel", output_dir="./results")
 ```