[Executorch] Make module constructors uniform across

[kimishpatel]

Stack from ghstack (oldest at bottom):

• [Executorch] make slice_copy parallel #15830
• [Executorch][LLM] Use caching allocator for runner #15730
• -> [Executorch] Make module constructors uniform across #15729
• [Executorch] Use temp allocator for allocating scratch memory #15728
• [Executorch] Introduce caching cpu memory allocator #15611
• Reduce allocation overhead in quantized sdpa #15610

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

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15729

• 📄 Preview Python docs built from this PR

Note: Links to docs will display an error until the docs builds have been completed.

❌ 12 New Failures, 4 Unrelated Failures

As of commit 2a5e4a4 with merge base 7600df8 ():

NEW FAILURES - The following jobs have failed:

• pull / test-moshi-linux / linux-job (gh)
  RuntimeError: Command docker exec -t a25ae2fc06e545346917ae8ab4cf021c7492397398503b8195168e4d8f5f10be /exec failed with exit code 1
• pull / test-multimodal-linux (gemma3-4b) / linux-job (gh)
  RuntimeError: Command docker exec -t 5cf793ebbc22d63d0f10fe8b2456c3fe775e2499ad74f1d67220b2e8e4fdcf65 /exec failed with exit code 139
• pull / unittest-wasm-bindings (--enable-etdump) / linux-job (gh)
  /pytorch/executorch/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__memory/unique_ptr.h:767:30: error: no matching constructor for initialization of 'executorch::extension::module::Module'
• pull / unittest-wasm-bindings / linux-job (gh)
  /pytorch/executorch/emsdk/upstream/emscripten/cache/sysroot/include/c++/v1/__memory/unique_ptr.h:767:30: error: no matching constructor for initialization of 'executorch::extension::module::Module'
• Test CUDA Builds / test-model-cuda-e2e (google, gemma-3-4b-it, non-quantized) / linux-job (gh)
  RuntimeError: Command docker exec -t 6666f8d97ace1bdc3cff5e1fe59af9bafe0a5e775904daed444895bdb6965bea /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (google, gemma-3-4b-it, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 6402d7ce1bef6865bc2aa3edbfb491bfafd3ceef7bacb73ae3d94c941d5a8b7b /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-large-v3-turbo, non-quantized) / linux-job (gh)
  RuntimeError: Command docker exec -t 6eeb3b2cee9c209357d3eafe641af984dd414d68068c94f333252348b6d4ca53 /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-large-v3-turbo, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 92dbd4fb6d716809950fa4d6889ba654ff721453365d9895dc29dcf8fda02950 /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-large-v3-turbo, quantized-int4-weight-only) / linux-job (gh)
  RuntimeError: Command docker exec -t 7783c4af9d1d0e8ad0e9a30e367e24ccd7f225e448def35dabfffa859106d53a /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-small, non-quantized) / linux-job (gh)
  RuntimeError: Command docker exec -t 974fecc08a7fbc2a4a1d3e5110e6442022bc893847df07e0ffd4a2246e47693f /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-small, quantized-int4-tile-packed) / linux-job (gh)
  RuntimeError: Command docker exec -t 92e0405e3076926d8cb81f0a8ea2e8a42e46b4fefaf1170a6e02961a4d025340 /exec failed with exit code 1
• Test CUDA Builds / test-model-cuda-e2e (openai, whisper-small, quantized-int4-weight-only) / linux-job (gh)
  RuntimeError: Command docker exec -t 95e71ab678dddf9be242c3f91940e14ac66ce2658a2956bba94d01b253c89dab /exec failed with exit code 1

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pull / unittest / linux / linux-job (gh) (trunk failure)
  backends/xnnpack/test/recipes/test_xnnpack_recipes.py::TestXnnpackRecipes::test_int8_static_quant_recipe
• pull / unittest / macos / macos-job (gh) (trunk failure)
  backends/xnnpack/test/recipes/test_xnnpack_recipes.py::TestXnnpackRecipes::test_int8_static_quant_recipe
• pull / unittest-editable / linux / linux-job (gh) (trunk failure)
  backends/xnnpack/test/recipes/test_xnnpack_recipes.py::TestXnnpackRecipes::test_int8_static_quant_recipe
• pull / unittest-editable / macos / macos-job (gh) (trunk failure)
  backends/xnnpack/test/recipes/test_xnnpack_recipes.py::TestXnnpackRecipes::test_int8_static_quant_recipe

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[github-actions]

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.

[Copilot]

Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review.