[ET-VK][7/n] Slice, with lots of codegen improvements#3171
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yipjustin wants to merge 3 commits intogh/yipjustin/10/basefrom
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[ET-VK][7/n] Slice, with lots of codegen improvements#3171yipjustin wants to merge 3 commits intogh/yipjustin/10/basefrom
yipjustin wants to merge 3 commits intogh/yipjustin/10/basefrom
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1. Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets. 2. Improvement in codegen. - add support of optional variables - improve indent of the code, for better readability - allow user to specify tensor value generation, possible to generate sequential values for easier debugging for index operations - sample code improve test-case specification, particularly with long and optional values. Differential Revision: [D56295985](https://our.internmc.facebook.com/intern/diff/D56295985/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/3171
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 73379b8 with merge base fa433cb ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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1. Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets. 2. Improvement in codegen. - add support of optional variables - improve indent of the code, for better readability - allow user to specify tensor value generation, possible to generate sequential values for easier debugging for index operations - sample code improve test-case specification, particularly with long and optional values. Differential Revision: [D56295985](https://our.internmc.facebook.com/intern/diff/D56295985/) ghstack-source-id: 223242316 Pull Request resolved: #3171
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This pull request was exported from Phabricator. Differential Revision: D56295985 |
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Apr 19, 2024
1. Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets. 2. Improvement in codegen. - add support of optional variables - improve indent of the code, for better readability - allow user to specify tensor value generation, possible to generate sequential values for easier debugging for index operations - sample code improve test-case specification, particularly with long and optional values. Differential Revision: [D56295985](https://our.internmc.facebook.com/intern/diff/D56295985/) [ghstack-poisoned]
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Pull Request resolved: #3171 1. Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets. 2. Improvement in codegen. - add support of optional variables - improve indent of the code, for better readability - allow user to specify tensor value generation, possible to generate sequential values for easier debugging for index operations - sample code improve test-case specification, particularly with long and optional values. ghstack-source-id: 223247365 Differential Revision: [D56295985](https://our.internmc.facebook.com/intern/diff/D56295985/)
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This pull request was exported from Phabricator. Differential Revision: D56295985 |
1. Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets. 2. Improvement in codegen. - add support of optional variables - improve indent of the code, for better readability - allow user to specify tensor value generation, possible to generate sequential values for easier debugging for index operations - sample code improve test-case specification, particularly with long and optional values. Differential Revision: [D56295985](https://our.internmc.facebook.com/intern/diff/D56295985/) [ghstack-poisoned]
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Apr 19, 2024
Pull Request resolved: #3171 1. Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets. 2. Improvement in codegen. - add support of optional variables - improve indent of the code, for better readability - allow user to specify tensor value generation, possible to generate sequential values for easier debugging for index operations - sample code improve test-case specification, particularly with long and optional values. ghstack-source-id: 223254861 Differential Revision: [D56295985](https://our.internmc.facebook.com/intern/diff/D56295985/)
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This pull request was exported from Phabricator. Differential Revision: D56295985 |
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This pull request has been merged in 7469a28. |
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## The Operator `nn.Module` invocations of [`torch.index_select`](https://pytorch.org/docs/stable/generated/torch.index_select.html) get compiled to `aten.index_select.default` in the Edge Dialect, which carries the following signature. ``` - func: index_select(Tensor self, int dim, Tensor index) -> Tensor ``` ## Implementation This is a C-packing-only implementation. It is very similar to `aten.slice`: #3171 ``` - func: slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) ``` It features a similar split between a shader for N,H,W and a shader for C, because copying from the C-dimension is more difficult due to C-packing. Both `index_select` and `slice` copy specific indices across 1 dimension. The difference is in the way these indices are specified. - `slice` uses `start=1`/`end=5`/`step=2` as three scalars for indices `1,3`. - `index_select` lists the exact indices inside a tensor e.g. `index=torch.tensor([1,3])`. Hence, `slice` uses a `offset=1` and `step=2` to compute input position. In `index_select`, we read the index tensor to compute input position. Differential Revision: [D57745489](https://our.internmc.facebook.com/intern/diff/D57745489/) [ghstack-poisoned]
junpi3
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May 24, 2024
## The Operator `nn.Module` invocations of [`torch.index_select`](https://pytorch.org/docs/stable/generated/torch.index_select.html) get compiled to `aten.index_select.default` in the Edge Dialect, which carries the following signature. ``` - func: index_select(Tensor self, int dim, Tensor index) -> Tensor ``` ## Implementation This is a C-packing-only implementation. It is very similar to `aten.slice`: #3171 ``` - func: slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) ``` It features a similar split between a shader for N,H,W and a shader for C, because copying from the C-dimension is more difficult due to C-packing. Both `index_select` and `slice` copy specific indices across 1 dimension. The difference is in the way these indices are specified. - `slice` uses `start=1`/`end=5`/`step=2` as three scalars for indices `1,3`. - `index_select` lists the exact indices inside a tensor e.g. `index=torch.tensor([1,3])`. Hence, `slice` uses a `offset=1` and `step=2` to compute input position. In `index_select`, we read the index tensor to compute input position. Differential Revision: [D57745489](https://our.internmc.facebook.com/intern/diff/D57745489/) ghstack-source-id: 227736336 Pull Request resolved: #3744
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May 28, 2024
Summary: Pull Request resolved: #3744 ## The Operator `nn.Module` invocations of [`torch.index_select`](https://pytorch.org/docs/stable/generated/torch.index_select.html) get compiled to `aten.index_select.default` in the Edge Dialect, which carries the following signature. ``` - func: index_select(Tensor self, int dim, Tensor index) -> Tensor ``` ## Implementation This is a C-packing-only implementation. It is very similar to `aten.slice`: #3171 ``` - func: slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) ``` It features a similar split between a shader for N,H,W and a shader for C, because copying from the C-dimension is more difficult due to C-packing. Both `index_select` and `slice` copy specific indices across 1 dimension. The difference is in the way these indices are specified. - `slice` uses `start=1`/`end=5`/`step=2` as three scalars for indices `1,3`. - `index_select` lists the exact indices inside a tensor e.g. `index=torch.tensor([1,3])`. Hence, `slice` uses a `offset=1` and `step=2` to compute input position. In `index_select`, we read the index tensor to compute input position. Reviewed By: copyrightly Differential Revision: D57745489 fbshipit-source-id: 4ef7f1a13d4bf74af20fe61149dbd5d461aaab0c
junpi3
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May 29, 2024
## The Operator `nn.Module` invocations of [`torch.index_select`](https://pytorch.org/docs/stable/generated/torch.index_select.html) get compiled to `aten.index_select.default` in the Edge Dialect, which carries the following signature. ``` - func: index_select(Tensor self, int dim, Tensor index) -> Tensor ``` ## Implementation This is a C-packing-only implementation. It is very similar to `aten.slice`: #3171 ``` - func: slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) ``` It features a similar split between a shader for N,H,W and a shader for C, because copying from the C-dimension is more difficult due to C-packing. Both `index_select` and `slice` copy specific indices across 1 dimension. The difference is in the way these indices are specified. - `slice` uses `start=1`/`end=5`/`step=2` as three scalars for indices `1,3`. - `index_select` lists the exact indices inside a tensor e.g. `index=torch.tensor([1,3])`. Hence, `slice` uses a `offset=1` and `step=2` to compute input position. In `index_select`, we read the index tensor to compute input position. Differential Revision: [D57745489](https://our.internmc.facebook.com/intern/diff/D57745489/) [ghstack-poisoned]
junpi3
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May 29, 2024
## The Operator `nn.Module` invocations of [`torch.index_select`](https://pytorch.org/docs/stable/generated/torch.index_select.html) get compiled to `aten.index_select.default` in the Edge Dialect, which carries the following signature. ``` - func: index_select(Tensor self, int dim, Tensor index) -> Tensor ``` ## Implementation This is a C-packing-only implementation. It is very similar to `aten.slice`: #3171 ``` - func: slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) ``` It features a similar split between a shader for N,H,W and a shader for C, because copying from the C-dimension is more difficult due to C-packing. Both `index_select` and `slice` copy specific indices across 1 dimension. The difference is in the way these indices are specified. - `slice` uses `start=1`/`end=5`/`step=2` as three scalars for indices `1,3`. - `index_select` lists the exact indices inside a tensor e.g. `index=torch.tensor([1,3])`. Hence, `slice` uses a `offset=1` and `step=2` to compute input position. In `index_select`, we read the index tensor to compute input position. Differential Revision: [D57745489](https://our.internmc.facebook.com/intern/diff/D57745489/) [ghstack-poisoned]
kedarnath03
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Jun 25, 2025
Pull Request resolved: pytorch/executorch#3744 ## The Operator `nn.Module` invocations of [`torch.index_select`](https://pytorch.org/docs/stable/generated/torch.index_select.html) get compiled to `aten.index_select.default` in the Edge Dialect, which carries the following signature. ``` - func: index_select(Tensor self, int dim, Tensor index) -> Tensor ``` ## Implementation This is a C-packing-only implementation. It is very similar to `aten.slice`: pytorch/executorch#3171 ``` - func: slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) ``` It features a similar split between a shader for N,H,W and a shader for C, because copying from the C-dimension is more difficult due to C-packing. Both `index_select` and `slice` copy specific indices across 1 dimension. The difference is in the way these indices are specified. - `slice` uses `start=1`/`end=5`/`step=2` as three scalars for indices `1,3`. - `index_select` lists the exact indices inside a tensor e.g. `index=torch.tensor([1,3])`. Hence, `slice` uses a `offset=1` and `step=2` to compute input position. In `index_select`, we read the index tensor to compute input position. Differential Revision: [D57745489](https://our.internmc.facebook.com/intern/diff/D57745489/) ghstack-source-id: 227954599
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Stack from ghstack (oldest at bottom):
Add slice operation. Instead of using copy in LI, we implement a simple shader with offsets.
Improvement in codegen.
Differential Revision: D56295985