Skip to content

Conversation

@Gasoonjia
Copy link
Contributor

@Gasoonjia Gasoonjia commented Dec 24, 2025

Stack from ghstack (oldest at bottom):

This diff adds the SizesAndStrides class for efficiently storing tensor dimension sizes and strides, along with utility functions for computing element counts and storage requirements.

Key components:

  1. c10/macros/Macros.h - Branch prediction hint macros (SLIMTENSOR_LIKELY/UNLIKELY) for optimizing hot paths

  2. util/ArrayRefUtil.h - Re-exports ExecuTorch's ArrayRef, IntArrayRef, and makeArrayRef; adds toVec() utility for converting ArrayRef to std::vector

  3. c10/core/SizesAndStrides.h - Packed container for tensor sizes and strides:

    • Inline storage for tensors up to 5 dimensions (no heap allocation)
    • Out-of-line heap storage for larger tensors
    • Full copy/move semantics with proper resource management
    • Equality operators and iterators
    • std::initializer_list overloads for convenient initialization
  4. util/SizeUtil.h - Size computation utilities:

    • compute_numel() - compute total number of elements
    • compute_contiguous_strides() - compute row-major contiguous strides
    • compute_storage_nbytes() / compute_storage_nbytes_contiguous() - compute storage byte requirements

Differential Revision: D89749336

…slimtensor usage

This diff adds the `SizesAndStrides` class for efficiently storing tensor dimension sizes and strides, along with utility functions for computing element counts and storage requirements.

**Key components:**

1. **`c10/macros/Macros.h`** - Branch prediction hint macros (`SLIMTENSOR_LIKELY/UNLIKELY`) for optimizing hot paths

2. **`util/ArrayRefUtil.h`** - Re-exports ExecuTorch's `ArrayRef`, `IntArrayRef`, and `makeArrayRef`; adds `toVec()` utility for converting ArrayRef to std::vector

3. **`c10/core/SizesAndStrides.h`** - Packed container for tensor sizes and strides:
   - Inline storage for tensors up to 5 dimensions (no heap allocation)
   - Out-of-line heap storage for larger tensors
   - Full copy/move semantics with proper resource management
   - Equality operators and iterators
   - `std::initializer_list` overloads for convenient initialization

4. **`util/SizeUtil.h`** - Size computation utilities:
   - `compute_numel()` - compute total number of elements
   - `compute_contiguous_strides()` - compute row-major contiguous strides
   - `compute_storage_nbytes()` / `compute_storage_nbytes_contiguous()` - compute storage byte requirements

Differential Revision: [D89749336](https://our.internmc.facebook.com/intern/diff/D89749336/)

[ghstack-poisoned]
@pytorch-bot
Copy link

pytorch-bot bot commented Dec 24, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16384

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

❌ 2 New Failures, 1 Cancelled Job, 1 Unrelated Failure

As of commit d525c32 with merge base 210047b (image):

NEW FAILURES - The following jobs have failed:

CANCELLED JOB - The following job was cancelled. Please retry:

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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

@github-actions
Copy link

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.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed.

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants