Update base for Update on "[Executorch] Make module constructors uniform across"

Existing constructors dont compose well such that if you want data loader or data files constructor then you cannot get to override memory allocator.
Fix that.

Differential Revision: [D86120037](https://our.internmc.facebook.com/intern/diff/D86120037/)

[ghstack-poisoned]

Author: kimishpatel

.ci/scripts/cuda_benchmark.py

@@ -0,0 +1,100 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+# Quick script to trigger cuda-perf workflow via GitHub CLI
+# Usage:
+#   ./trigger_cuda_perf.sh                                          # Use defaults (random model + quant)
+#   ./trigger_cuda_perf.sh --all                                     # Run ALL models with ALL quantizations
+#   ./trigger_cuda_perf.sh "openai/whisper-medium"                  # Single model
+#   ./trigger_cuda_perf.sh "openai/whisper-small,google/gemma-3-4b-it" "non-quantized,quantized-int4-tile-packed" "100"
+
+set -e
+
+# All available models and quantizations
+ALL_MODELS="mistralai/Voxtral-Mini-3B-2507,openai/whisper-small,openai/whisper-medium,openai/whisper-large-v3-turbo,google/gemma-3-4b-it"
+ALL_QUANTIZATIONS="non-quantized,quantized-int4-tile-packed,quantized-int4-weight-only"
+
+# Check if gh CLI is installed
+if ! command -v gh &> /dev/null; then
+    echo "Error: GitHub CLI (gh) is not installed."
+    echo "Install it from: https://cli.github.com/"
+    echo ""
+    echo "Quick install:"
+    echo "  macOS:   brew install gh"
+    echo "  Linux:   See https://github.com/cli/cli/blob/trunk/docs/install_linux.md"
+    exit 1
+fi
+
+# Check for --all flag
+RUN_ALL=false
+if [ "${1:-}" = "--all" ] || [ "${1:-}" = "-a" ]; then
+    RUN_ALL=true
+    shift  # Remove the flag from arguments
+fi
+
+# Default parameters
+if [ "$RUN_ALL" = true ]; then
+    MODELS="$ALL_MODELS"
+    QUANT="$ALL_QUANTIZATIONS"
+    NUM_RUNS="${1:-50}"
+    RANDOM_MODEL="false"
+    echo "========================================="
+    echo "Triggering cuda-perf workflow"
+    echo "Mode: RUN ALL MODELS AND QUANTIZATIONS"
+    echo "========================================="
+    echo "Models:         ALL (5 models)"
+    echo "Quantizations:  ALL (3 quantizations)"
+    echo "Total configs:  15 combinations"
+    echo "Num runs:       $NUM_RUNS"
+    echo "========================================="
+else
+    MODELS="${1:-}"
+    QUANT="${2:-}"
+    NUM_RUNS="${3:-50}"
+    RANDOM_MODEL="${4:-false}"
+
+    # Display configuration
+    echo "========================================="
+    echo "Triggering cuda-perf workflow"
+    echo "========================================="
+    if [ -z "$MODELS" ]; then
+        echo "Models:         (random selection)"
+    else
+        echo "Models:         $MODELS"
+    fi
+    if [ -z "$QUANT" ]; then
+        echo "Quantizations:  (random selection)"
+    else
+        echo "Quantizations:  $QUANT"
+    fi
+    echo "Num runs:       $NUM_RUNS"
+    echo "Random model:   $RANDOM_MODEL"
+    echo "========================================="
+fi
+
+echo ""
+
+# Trigger workflow
+gh workflow run cuda-perf.yml \
+  -R pytorch/executorch \
+  -f models="$MODELS" \
+  -f quantizations="$QUANT" \
+  -f num_runs="$NUM_RUNS" \
+  -f random_model="$RANDOM_MODEL"
+
+if [ $? -eq 0 ]; then
+    echo "✓ Workflow triggered successfully!"
+    echo ""
+    echo "View status:"
+    echo "  gh run list --workflow=cuda-perf.yml"
+    echo ""
+    echo "Watch the latest run:"
+    echo "  gh run watch \$(gh run list --workflow=cuda-perf.yml --limit 1 --json databaseId --jq '.[0].databaseId')"
+else
+    echo "✗ Failed to trigger workflow"
+    exit 1
+fi