-
Notifications
You must be signed in to change notification settings - Fork 794
[slimtensor] Add SlimTensor-based aoti_torch_create_tensor_from_blob_v2 #16446
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: gh/gasoonjia/88/base
Are you sure you want to change the base?
Conversation
Add SlimTensor-based implementations of AOTI shim functions for tensor creation:
1. `aoti_torch_create_tensor_from_blob_v2()` - Creates a non-owning SlimTensor that wraps existing memory using the `from_blob()` factory
Both functions support CPU and CUDA devices and handle all 7 SlimTensor dtypes.
Also add `memory_slim.h` and `memory_slim.cpp` with SlimTensor-based shim implementations for working on new API while not impact the current pipeline. Will use memory_slim.{h/cpp} to replace current memory.{h/cpp} when everything has been set up.
Differential Revision: [D90126247](https://our.internmc.facebook.com/intern/diff/D90126247/)
[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16446
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 6 New Failures, 1 Unrelated FailureAs of commit d06a977 with merge base fd6fa87 ( NEW FAILURES - The following jobs have failed:
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. |
This PR needs a
|
Stack from ghstack (oldest at bottom):
Add SlimTensor-based implementations of AOTI shim functions for tensor creation:
aoti_torch_create_tensor_from_blob_v2()- Creates a non-owning SlimTensor that wraps existing memory using thefrom_blob()factoryBoth functions support CPU and CUDA devices and handle all 7 SlimTensor dtypes.
Also add
memory_slim.handmemory_slim.cppwith SlimTensor-based shim implementations for working on new API while not impact the current pipeline. Will use memory_slim.{h/cpp} to replace current memory.{h/cpp} when everything has been set up.Differential Revision: D90126247