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@kirklandsign kirklandsign commented Aug 5, 2025

Stack from ghstack (oldest at bottom):

Note that although the volume of changes in this diff are very high, the changes themselves are extremely mechanical. This diff was written almost entirely with a LLM, but I have looked through each file and validated the changes.

Changes

This diff updates callsites using graph->get_tensor(value_ref) in favor of just using the ValueRef directly.

A simple example (and the vast majority of changes in this diff) is a change such as:

vTensorPtr tensor = graph->get_tensor(tensor_ref);

some_fn(tensor->sizes());

To instead be

std::vector<int64_t> tensor_sizes = graph->sizes_of(tensor_ref);
some_fn(tensor_sizes);

or

some_fn(graph->sizes_of(tensor_ref));

Motivation

Overall, the goal is to make the get_tensor() API protected so that it can only be used in specific situations.

In addition to the primary motivation of improving the consistency of API usage throughout the codebase, there is a practical benefit as well. get_tensor has a limitation that no values can be added to the graph while the vTensorPtr is in scope. Also, forcing tensor modifications via functions like virtual_resize() to go through the ComputeGraph will allow the graph to track changes for the purposes of determining when a command buffer re-encode or resize propagation is necessary, which will result in performance benefits.

Differential Revision: D79564594

Note that although the volume of changes in this diff are very high, the changes themselves are extremely mechanical. This diff was written almost entirely with a LLM, but I have looked through each file and validated the changes.

## Changes


This diff updates callsites using `graph->get_tensor(value_ref)` in favor of just using the `ValueRef` directly.

A simple example (and the vast majority of changes in this diff) is a change such as:

```
vTensorPtr tensor = graph->get_tensor(tensor_ref);

some_fn(tensor->sizes());
```

To instead be

```
std::vector<int64_t> tensor_sizes = graph->sizes_of(tensor_ref);
some_fn(tensor_sizes);
```

or

```
some_fn(graph->sizes_of(tensor_ref));
```

## Motivation

Overall, the goal is to make the `get_tensor()` API protected so that it can only be used in specific situations.

In addition to the primary motivation of improving the consistency of API usage throughout the codebase, there is a practical benefit as well. `get_tensor` has a limitation that no values can be added to the graph while the `vTensorPtr` is in scope. Also, forcing tensor modifications via functions like `virtual_resize()` to go through the `ComputeGraph` will allow the graph to track changes for the purposes of determining when a command buffer re-encode or resize propagation is necessary, which will result in performance benefits.

Differential Revision: [D79564594](https://our.internmc.facebook.com/intern/diff/D79564594/)

[ghstack-poisoned]
@kirklandsign kirklandsign requested a review from SS-JIA as a code owner August 5, 2025 21:12
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pytorch-bot bot commented Aug 5, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/13136

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

❗ 1 Active SEVs

There are 1 currently active SEVs. If your PR is affected, please view them below:

❌ 1 New Failure, 2 Unrelated Failures

As of commit d272576 with merge base b054e8d (image):

NEW FAILURE - The following job has failed:

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

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

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

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@meta-cla meta-cla bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Aug 5, 2025
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This pull request was exported from Phabricator. Differential Revision: D79564594

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