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Remove ExecuTorch copy of Vectorized #7042

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@swolchok swolchok commented Nov 23, 2024

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7042

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

❗ 1 Active SEVs

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❌ 31 New Failures

As of commit 9b08b43 with merge base 81f7c4f (image):

NEW FAILURES - The following jobs have failed:

  • Build documentation / build (buck2) / Build doc (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • Lint / lintrunner / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-custom-ops-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-eval_llama-mmlu-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:394:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp:30:3)'
  • pull / test-eval_llama-wikitext-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama_runner_eager-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (bf16, custom) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (bf16, portable) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (fp32, portable) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (fp32, xnnpack+custom) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (fp32, xnnpack+custom+qe) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (fp32, xnnpack+custom+quantize_kv) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-linux (fp32, xnnpack+quantize_kv) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:394:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp:30:3)'
  • pull / test-llama-runner-linux-android / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-qnn-linux (fp32, qnn_16a16w, qnn) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llama-runner-qnn-linux (fp32, qnn_8a8w, qnn) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-llava-runner-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:394:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_neg.cpp:30:3)'
  • pull / test-models-linux (buck2, mv3, portable, linux.2xlarge, 90) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-models-linux (buck2, mv3, xnnpack-quantization-delegation, linux.2xlarge, 90) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-models-linux (cmake, mv3, portable, linux.2xlarge, 90) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-models-linux (cmake, mv3, xnnpack-quantization-delegation, linux.2xlarge, 90) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-models-linux (cmake, vit, portable, linux.2xlarge, 90) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-models-linux (cmake, vit, xnnpack-quantization-delegation, linux.2xlarge, 90) / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-phi-3-mini-runner-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-pybind-build-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-quantized-aot-lib-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-selective-build-linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / test-setup-linux-gcc / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:32: error: no match for call to ‘(const torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const executorch::runtime::etensor::optional<executorch::runtime::etensor::Tensor>&, const executorch::runtime::etensor::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = c10::BFloat16; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]::<lambda(Vec, Vec, Vec)>) (std::tuple_element<0, std::tuple<at::vec::CPU_CAPABILITY::Vectorized<float> > >::type&, std::tuple_element<0, std::tuple<at::vec::CPU_CAPABILITY::Vectorized<float> > >::type&, std::tuple_element<0, std::tuple<at::vec::CPU_CAPABILITY::Vectorized<float> > >::type&)’
  • pull / unittest / linux / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / unittest / macos / macos-job (gh)
    /Users/ec2-user/runner/_work/_temp/conda_environment_13146809125/lib/python3.11/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /Users/ec2-user/runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'
  • pull / unittest-arm / linux-job (gh)
    /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_bfloat16.h:500:25: error: no matching function for call to object of type 'const (lambda at /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:98:11)'

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

@facebook-github-bot facebook-github-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 Nov 23, 2024
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Nov 23, 2024
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

ghstack-source-id: 255095942
Pull Request resolved: #7042
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
swolchok added a commit that referenced this pull request Nov 23, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 255100702
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Nov 23, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 255101543
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Nov 26, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 255547405
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
swolchok added a commit that referenced this pull request Dec 2, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 256068820
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
swolchok added a commit that referenced this pull request Dec 2, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 256078544
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
swolchok added a commit that referenced this pull request Dec 8, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 257038888
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Dec 17, 2024
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 258553931
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 15, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 261600331
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 17, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 261985202
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 24, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 262817059
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 30, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 263892114
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 30, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 263918323
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
Contributor

This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 30, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 263944262
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
Copy link
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok added a commit that referenced this pull request Jan 30, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 263951677
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D66396016

swolchok pushed a commit that referenced this pull request Feb 4, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 263951677
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
All uses are outside ExecuTorch core, so we can just use ATen Vectorized.

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)

[ghstack-poisoned]
swolchok pushed a commit that referenced this pull request Feb 4, 2025
Pull Request resolved: #7042

All uses are outside ExecuTorch core, so we can just use ATen Vectorized.
ghstack-source-id: 263951677
@exported-using-ghexport

Differential Revision: [D66396016](https://our.internmc.facebook.com/intern/diff/D66396016/)
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This pull request was exported from Phabricator. Differential Revision: D66396016

@swolchok swolchok marked this pull request as draft February 5, 2025 16:47
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