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@Gasoonjia Gasoonjia commented Jan 5, 2026

Stack from ghstack (oldest at bottom):

Add utility functions to the header-only common_shims_slim library:

  1. DType constants:

    • aoti_torch_dtype_float32() - Returns 6 (ScalarType::Float)
    • aoti_torch_dtype_bfloat16() - Returns 15 (ScalarType::BFloat16)
    • aoti_torch_dtype_int64() - Returns 4 (ScalarType::Long)
    • aoti_torch_dtype_int32() - Returns 3 (ScalarType::Int)
    • aoti_torch_dtype_int16() - Returns 2 (ScalarType::Short)
    • aoti_torch_dtype_int8() - Returns 1 (ScalarType::Char)
    • aoti_torch_dtype_bool() - Returns 11 (ScalarType::Bool)
  2. Device type constants:

    • aoti_torch_device_type_cpu() - Returns 0 (DeviceType::CPU)
    • aoti_torch_device_type_cuda() - Returns 1 (DeviceType::CUDA)
  3. Grad mode functions (not supported in ExecuTorch):

    • aoti_torch_grad_mode_is_enabled() - Always returns false
    • aoti_torch_grad_mode_set_enabled() - Returns Ok for false, NotSupported for true

Differential Revision: D90126250

Add utility functions to the header-only common_shims_slim library:

1. DType constants:
   - `aoti_torch_dtype_float32()` - Returns 6 (ScalarType::Float)
   - `aoti_torch_dtype_bfloat16()` - Returns 15 (ScalarType::BFloat16)
   - `aoti_torch_dtype_int64()` - Returns 4 (ScalarType::Long)
   - `aoti_torch_dtype_int32()` - Returns 3 (ScalarType::Int)
   - `aoti_torch_dtype_int16()` - Returns 2 (ScalarType::Short)
   - `aoti_torch_dtype_int8()` - Returns 1 (ScalarType::Char)
   - `aoti_torch_dtype_bool()` - Returns 11 (ScalarType::Bool)

2. Device type constants:
   - `aoti_torch_device_type_cpu()` - Returns 0 (DeviceType::CPU)
   - `aoti_torch_device_type_cuda()` - Returns 1 (DeviceType::CUDA)

3. Grad mode functions (not supported in ExecuTorch):
   - `aoti_torch_grad_mode_is_enabled()` - Always returns false
   - `aoti_torch_grad_mode_set_enabled()` - Returns Ok for false, NotSupported for true

Differential Revision: [D90126250](https://our.internmc.facebook.com/intern/diff/D90126250/)

[ghstack-poisoned]
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pytorch-bot bot commented Jan 5, 2026

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16457

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

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

As of commit 2d7b0d9 with merge base 35eb01a (image):

NEW FAILURES - The following jobs have failed:

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

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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

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This was referenced Dec 27, 2025
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This PR needs a release notes: label

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Gasoonjia added a commit that referenced this pull request Jan 5, 2026
Add utility functions to the header-only common_shims_slim library:

1. DType constants:
   - `aoti_torch_dtype_float32()` - Returns 6 (ScalarType::Float)
   - `aoti_torch_dtype_bfloat16()` - Returns 15 (ScalarType::BFloat16)
   - `aoti_torch_dtype_int64()` - Returns 4 (ScalarType::Long)
   - `aoti_torch_dtype_int32()` - Returns 3 (ScalarType::Int)
   - `aoti_torch_dtype_int16()` - Returns 2 (ScalarType::Short)
   - `aoti_torch_dtype_int8()` - Returns 1 (ScalarType::Char)
   - `aoti_torch_dtype_bool()` - Returns 11 (ScalarType::Bool)

2. Device type constants:
   - `aoti_torch_device_type_cpu()` - Returns 0 (DeviceType::CPU)
   - `aoti_torch_device_type_cuda()` - Returns 1 (DeviceType::CUDA)

3. Grad mode functions (not supported in ExecuTorch):
   - `aoti_torch_grad_mode_is_enabled()` - Always returns false
   - `aoti_torch_grad_mode_set_enabled()` - Returns Ok for false, NotSupported for true

Differential Revision: [D90126250](https://our.internmc.facebook.com/intern/diff/D90126250/)

ghstack-source-id: 331923139
Pull Request resolved: #16457
@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 Jan 5, 2026
Add utility functions to the header-only common_shims_slim library:

1. DType constants:
   - `aoti_torch_dtype_float32()` - Returns 6 (ScalarType::Float)
   - `aoti_torch_dtype_bfloat16()` - Returns 15 (ScalarType::BFloat16)
   - `aoti_torch_dtype_int64()` - Returns 4 (ScalarType::Long)
   - `aoti_torch_dtype_int32()` - Returns 3 (ScalarType::Int)
   - `aoti_torch_dtype_int16()` - Returns 2 (ScalarType::Short)
   - `aoti_torch_dtype_int8()` - Returns 1 (ScalarType::Char)
   - `aoti_torch_dtype_bool()` - Returns 11 (ScalarType::Bool)

2. Device type constants:
   - `aoti_torch_device_type_cpu()` - Returns 0 (DeviceType::CPU)
   - `aoti_torch_device_type_cuda()` - Returns 1 (DeviceType::CUDA)

3. Grad mode functions (not supported in ExecuTorch):
   - `aoti_torch_grad_mode_is_enabled()` - Always returns false
   - `aoti_torch_grad_mode_set_enabled()` - Returns Ok for false, NotSupported for true

Differential Revision: [D90126250](https://our.internmc.facebook.com/intern/diff/D90126250/)

[ghstack-poisoned]
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