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34 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
| a10b765bf1 |
[pytree] add APIs to determine a class is a namedtuple or PyStructSequence (#113257)
Changes in this PR: 1. Add `is_structseq` and `is_structseq_class` functions to determine a object or a class is PyStructSequence. 2. Add a generic class `structseq` which can be used as the registration key for PyStructSequence types like `namedtuple` for Named Tuple types. 3. Change `is_namedtuple` to accept subclasses of namedtuple to be namedtuple. Before this PR, only namedtuple class directly created by `collections.namedtuple` or `typing.NamedTuple` were namedtuple classes while their subclasses were not. This PR makes `is_namedtuple` return true for subclasses of namedtuple class. Resolves #75982. New tests are included in this PR. - #75982 Pull Request resolved: https://github.com/pytorch/pytorch/pull/113257 Approved by: https://github.com/zou3519 |
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| f9b4856989 |
Revert "[pytree] add APIs to determine a class is a namedtuple or PyStructSequence (#113257)"
This reverts commit c95a6b416b4d1b830535f82e2719c055d077cbad. Reverted https://github.com/pytorch/pytorch/pull/113257 on behalf of https://github.com/ZainRizvi due to Sorry but this is breaking internally. @zou3519 can you please help land this internally? See the sigmoid tests in D71198793 for details. To validate the fixes internally, you can follow the instructions here: https://fburl.com/fixing-ghfirst-reverts ([comment](https://github.com/pytorch/pytorch/pull/113257#issuecomment-2725982539)) |
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| c95a6b416b |
[pytree] add APIs to determine a class is a namedtuple or PyStructSequence (#113257)
Changes in this PR: 1. Add `is_structseq` and `is_structseq_class` functions to determine a object or a class is PyStructSequence. 2. Add a generic class `structseq` which can be used as the registration key for PyStructSequence types like `namedtuple` for Named Tuple types. 3. Change `is_namedtuple` to accept subclasses of namedtuple to be namedtuple. Before this PR, only namedtuple class directly created by `collections.namedtuple` or `typing.NamedTuple` were namedtuple classes while their subclasses were not. This PR makes `is_namedtuple` return true for subclasses of namedtuple class. Resolves #75982. New tests are included in this PR. - #75982 Pull Request resolved: https://github.com/pytorch/pytorch/pull/113257 Approved by: https://github.com/zou3519 |
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| ebd087e4b5 |
Revert "[pytree] add APIs to determine a class is a namedtuple or PyStructSequence (#113257)"
This reverts commit f08146b67bab331f7bdc9fa247f526f6e60a7190. Reverted https://github.com/pytorch/pytorch/pull/113257 on behalf of https://github.com/jovianjaison due to breaking internal builds ([comment](https://github.com/pytorch/pytorch/pull/113257#issuecomment-2711299830)) |
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| f08146b67b |
[pytree] add APIs to determine a class is a namedtuple or PyStructSequence (#113257)
Changes in this PR: 1. Add `is_structseq` and `is_structseq_class` functions to determine a object or a class is PyStructSequence. 2. Add a generic class `structseq` which can be used as the registration key for PyStructSequence types like `namedtuple` for Named Tuple types. 3. Change `is_namedtuple` to accept subclasses of namedtuple to be namedtuple. Before this PR, only namedtuple class directly created by `collections.namedtuple` or `typing.NamedTuple` were namedtuple classes while their subclasses were not. This PR makes `is_namedtuple` return true for subclasses of namedtuple class. Resolves #75982. New tests are included in this PR. - #75982 Pull Request resolved: https://github.com/pytorch/pytorch/pull/113257 Approved by: https://github.com/zou3519 |
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| 758a0a88a2 |
[BE][Easy] enable ruff rule PIE790: unnecessary pass statement (#133200)
This PR removes unnecessary `pass` statement. This is semanticly safe because the bytecode for the Python code does not change. Note that if there is a docstring in the function, a empty function does not need a `pass` statement as placeholder. Pull Request resolved: https://github.com/pytorch/pytorch/pull/133200 Approved by: https://github.com/malfet, https://github.com/eqy, https://github.com/kit1980 |
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| f3fce597e9 |
[BE][Easy][17/19] enforce style for empty lines in import segments in torch/[a-c]*/ and torch/[e-n]*/ (#129769)
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129769 Approved by: https://github.com/ezyang |
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| 62bcdc0ac9 |
Flip default value for mypy disallow_untyped_defs [4/11] (#127841)
See #127836 for details. Pull Request resolved: https://github.com/pytorch/pytorch/pull/127841 Approved by: https://github.com/oulgen |
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| 4eaa000acc |
Teach dynamo about torch.func.jvp (#119926)
List of changes: - Replace JVP_NESTING by torch._C._functorch.maybe_current_level() - Remove all increment nesting functions from wrap_fx_proxy_cls - fwAD.make_dual receives the dual_level as keyword argument - Add jvp_increment_nesting, set_fwd_grad_enabled and dual_level context managers to dynamo Pull Request resolved: https://github.com/pytorch/pytorch/pull/119926 Approved by: https://github.com/zou3519 |
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| 0696db8202 |
Revert "Teach dynamo about torch.func.jvp (#119926)"
This reverts commit 17489784b635187316c6c856c5fe6b6a28d8a15a. Reverted https://github.com/pytorch/pytorch/pull/119926 on behalf of https://github.com/peterbell10 due to broken mac jobs on main ([comment](https://github.com/pytorch/pytorch/pull/119926#issuecomment-2010327997)) |
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| 17489784b6 |
Teach dynamo about torch.func.jvp (#119926)
List of changes: - Replace JVP_NESTING by torch._C._functorch.maybe_current_level() - Remove all increment nesting functions from wrap_fx_proxy_cls - fwAD.make_dual receives the dual_level as keyword argument - Add jvp_increment_nesting, set_fwd_grad_enabled and dual_level context managers to dynamo Pull Request resolved: https://github.com/pytorch/pytorch/pull/119926 Approved by: https://github.com/zou3519 |
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| 36e5c1dcab |
Revert "Teach dynamo about torch.func.jvp (#119926)"
This reverts commit edd04b7c16cc6715411119bb7db234a9df59065f. Reverted https://github.com/pytorch/pytorch/pull/119926 on behalf of https://github.com/jeanschmidt due to lots of breakages in pull jobs, checking if reverting this one will help ([comment](https://github.com/pytorch/pytorch/pull/119926#issuecomment-2007915919)) |
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| edd04b7c16 |
Teach dynamo about torch.func.jvp (#119926)
List of changes: - Replace JVP_NESTING by torch._C._functorch.maybe_current_level() - Remove all increment nesting functions from wrap_fx_proxy_cls - fwAD.make_dual receives the dual_level as keyword argument - Add jvp_increment_nesting, set_fwd_grad_enabled and dual_level context managers to dynamo Pull Request resolved: https://github.com/pytorch/pytorch/pull/119926 Approved by: https://github.com/zou3519 |
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| f5ce4d8baf |
Fixed docstring errors in gradcheck.py, forward_ad.py, profiler_util.py, profiler_legacy.py, functional.py, grad_mode.py, function.py (#113266)
Fixes #112594 docstring updated. Here are the output to with the number before and after. 1) torch/autograd/forward_ad.py Before : ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:23 in public function `enter_dual_level`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:23 in public function `enter_dual_level`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:42 in public function `exit_dual_level`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:42 in public function `exit_dual_level`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:62 in public function `make_dual`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:62 in public function `make_dual`: D400: First line should end with a period (not 'a') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:128 in public class `UnpackedDualTensor`: D204: 1 blank line required after class docstring (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:128 in public class `UnpackedDualTensor`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:128 in public class `UnpackedDualTensor`: D209: Multi-line docstring closing quotes should be on a separate line /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:134 in public function `unpack_dual`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:165 in public class `dual_level`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:165 in public class `dual_level`: D400: First line should end with a period (not 't') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:199 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:202 in public method `__exit__`: D105: Missing docstring in magic method 15 ``` After: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:205 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/forward_ad.py:208 in public method `__exit__`: D105: Missing docstring in magic method 3 ``` 2) torch/autograd/functional.py Before: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:262 in public function `vjp`: D202: No blank lines allowed after function docstring (found 1) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:262 in public function `vjp`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:262 in public function `vjp`: D400: First line should end with a period (not 'e') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:262 in public function `vjp`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:359 in public function `jvp`: D202: No blank lines allowed after function docstring (found 1) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:359 in public function `jvp`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:359 in public function `jvp`: D400: First line should end with a period (not 'f') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:359 in public function `jvp`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:584 in public function `jacobian`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:841 in public function `hessian`: D202: No blank lines allowed after function docstring (found 1) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:841 in public function `hessian`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:973 in public function `vhp`: D202: No blank lines allowed after function docstring (found 1) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:973 in public function `vhp`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:973 in public function `vhp`: D400: First line should end with a period (not 'e') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:973 in public function `vhp`: D401: First line should be in imperative mood; try rephrasing (found 'Function') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:1076 in public function `hvp`: D202: No blank lines allowed after function docstring (found 1) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:1076 in public function `hvp`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:1076 in public function `hvp`: D400: First line should end with a period (not 'r') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:1076 in public function `hvp`: D401: First line should be in imperative mood; try rephrasing (found 'Function') 20 ``` After: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/functional.py:1 at module level: D100: Missing docstring in public module 1 ``` 3) torch/autograd/profiler_legacy.py Before: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:27 in public class `profile`: D400: First line should end with a period (not 'd') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:29 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:62 in public method `config`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:74 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:86 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:103 in public method `__repr__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:108 in public method `__str__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:117 in public method `table`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:141 in public method `export_chrome_trace`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:148 in public method `export_stacks`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:154 in public method `key_averages`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:161 in public method `total_average`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:170 in public method `self_cpu_time_total`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:170 in public method `self_cpu_time_total`: D400: First line should end with a period (not 'f') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:180 in private nested function `_get_record_key`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:180 in private nested function `_get_record_key`: D400: First line should end with a period (not 'd') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:180 in private nested function `_get_record_key`: D401: First line should be in imperative mood (perhaps 'Return', not 'Returns') 18 ``` After: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:29 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:62 in public method `config`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:74 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:86 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:103 in public method `__repr__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:108 in public method `__str__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:117 in public method `table`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:141 in public method `export_chrome_trace`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:148 in public method `export_stacks`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:154 in public method `key_averages`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_legacy.py:161 in public method `total_average`: D102: Missing docstring in public method 12 ``` 4) torch/autograd/gradcheck.py Before: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:27 in public class `GradcheckError`: D204: 1 blank line required after class docstring (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:27 in public class `GradcheckError`: D400: First line should end with a period (not '`') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:258 in private function `_get_numerical_jacobian`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:258 in private function `_get_numerical_jacobian`: D400: First line should end with a period (not 'f') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:258 in private function `_get_numerical_jacobian`: D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:308 in public function `get_numerical_jacobian`: D401: First line should be in imperative mood; try rephrasing (found 'Deprecated') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:459 in public function `get_numerical_jacobian_wrt_specific_input`: D103: Missing docstring in public function /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:488 in private function `_get_analytical_jacobian_forward_ad`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:488 in private function `_get_analytical_jacobian_forward_ad`: D400: First line should end with a period (not 't') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:488 in private function `_get_analytical_jacobian_forward_ad`: D401: First line should be in imperative mood (perhaps 'Compute', not 'Computes') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:816 in public function `get_analytical_jacobian`: D103: Missing docstring in public function /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:1944 in public function `gradcheck`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:1944 in public function `gradcheck`: D400: First line should end with a period (not 'l') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:2133 in public function `gradgradcheck`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:2133 in public function `gradgradcheck`: D400: First line should end with a period (not 's') 16 ``` After: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:463 in public function `get_numerical_jacobian_wrt_specific_input`: D103: Missing docstring in public function /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/gradcheck.py:820 in public function `get_analytical_jacobian`: D103: Missing docstring in public function 3 ``` 5) torch/autograd/function.py Before: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:27 in public class `FunctionCtx`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:29 in public method `save_for_backward`: D401: First line should be in imperative mood (perhaps 'Save', not 'Saves') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:88 in public method `save_for_forward`: D401: First line should be in imperative mood (perhaps 'Save', not 'Saves') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:141 in public method `mark_dirty`: D401: First line should be in imperative mood (perhaps 'Mark', not 'Marks') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:177 in public method `mark_shared_storage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:185 in public method `mark_non_differentiable`: D401: First line should be in imperative mood (perhaps 'Mark', not 'Marks') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:217 in public method `set_materialize_grads`: D401: First line should be in imperative mood (perhaps 'Set', not 'Sets') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:276 in public class `BackwardCFunction`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:277 in public method `apply`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:291 in public method `apply_jvp`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:308 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:322 in private method `forward`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:322 in private method `forward`: D400: First line should end with a period (not 's') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:322 in private method `forward`: D401: First line should be in imperative mood; try rephrasing (found 'This') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:384 in private method `backward`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:384 in private method `backward`: D400: First line should end with a period (not 'e') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:384 in private method `backward`: D401: First line should be in imperative mood (perhaps 'Define', not 'Defines') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:416 in private method `jvp`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:416 in private method `jvp`: D400: First line should end with a period (not 'e') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:416 in private method `jvp`: D401: First line should be in imperative mood (perhaps 'Define', not 'Defines') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:439 in public class `Function`: D400: First line should end with a period (not '`') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:472 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:482 in public method `__call__`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:505 in public method `vmap`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:505 in public method `vmap`: D400: First line should end with a period (not 'h') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:505 in public method `vmap`: D401: First line should be in imperative mood (perhaps 'Define', not 'Defines') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:536 in public method `apply`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:564 in public function `once_differentiable`: D103: Missing docstring in public function /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:612 in public function `traceable`: D401: First line should be in imperative mood (perhaps 'Mark', not 'Marks') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:626 in public class `InplaceFunction`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:627 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:741 in public class `NestedIOFunction`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:761 in public method `backward`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:768 in public method `forward`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:775 in public method `save_for_backward`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:780 in public method `saved_tensors`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:784 in public method `mark_dirty`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:787 in public method `mark_non_differentiable`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:790 in public method `forward_extended`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:793 in public method `backward_extended`: D102: Missing docstring in public method 41 ``` After: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:27 in public class `FunctionCtx`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:177 in public method `mark_shared_storage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:276 in public class `BackwardCFunction`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:277 in public method `apply`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:291 in public method `apply_jvp`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:308 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:471 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:481 in public method `__call__`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:536 in public method `apply`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:564 in public function `once_differentiable`: D103: Missing docstring in public function /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:626 in public class `InplaceFunction`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:627 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:741 in public class `NestedIOFunction`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:761 in public method `backward`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:768 in public method `forward`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:775 in public method `save_for_backward`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:780 in public method `saved_tensors`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:784 in public method `mark_dirty`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:787 in public method `mark_non_differentiable`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:790 in public method `forward_extended`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/function.py:793 in public method `backward_extended`: D102: Missing docstring in public method 22 ``` 6) torch/autograd/profiler_util.py Before: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:26 in public class `EventList`: D400: First line should end with a period (not ')') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:28 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:46 in public method `__str__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:70 in private method `_populate_cpu_children`: D202: No blank lines allowed after function docstring (found 1) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:70 in private method `_populate_cpu_children`: D205: 1 blank line required between summary line and description (found 0) /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:70 in private method `_populate_cpu_children`: D401: First line should be in imperative mood (perhaps 'Populate', not 'Populates') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:166 in public method `self_cpu_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:179 in public method `table`: D401: First line should be in imperative mood (perhaps 'Print', not 'Prints') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:210 in public method `export_chrome_trace`: D401: First line should be in imperative mood (perhaps 'Export', not 'Exports') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:266 in public method `supported_export_stacks_metrics`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:273 in public method `export_stacks`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:354 in private function `_format_time`: D400: First line should end with a period (not 't') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:354 in private function `_format_time`: D401: First line should be in imperative mood (perhaps 'Define', not 'Defines') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:365 in private function `_format_time_share`: D400: First line should end with a period (not 't') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:365 in private function `_format_time_share`: D401: First line should be in imperative mood (perhaps 'Define', not 'Defines') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:373 in private function `_format_memory`: D400: First line should end with a period (not 'g') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:373 in private function `_format_memory`: D401: First line should be in imperative mood (perhaps 'Return', not 'Returns') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:408 in public method `cpu_time`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:412 in public method `cuda_time`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:416 in public method `privateuse1_time`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:420 in public class `Interval`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:421 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:425 in public method `elapsed_us`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:435 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:488 in public method `append_kernel`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:504 in public method `set_cpu_parent`: D400: First line should end with a period (not 't') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:518 in public method `self_cpu_memory_usage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:526 in public method `self_cuda_memory_usage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:534 in public method `self_privateuse1_memory_usage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:542 in public method `self_cpu_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:550 in public method `cuda_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:567 in public method `self_cuda_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:579 in public method `cpu_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:586 in public method `self_privateuse1_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:598 in public method `privateuse1_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:615 in public method `key`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:618 in public method `__repr__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:659 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:687 in public method `add`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:726 in public method `__iadd__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:729 in public method `__repr__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:763 in public class `StringTable`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:764 in public method `__missing__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:773 in public class `MemRecordsAcc`: D400: First line should end with a period (not 'l') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:775 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:783 in public method `in_interval`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:846 in private function `_build_table`: D401: First line should be in imperative mood (perhaps 'Print', not 'Prints') 48 ``` After : ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:28 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:46 in public method `__str__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:166 in public method `self_cpu_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:266 in public method `supported_export_stacks_metrics`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:273 in public method `export_stacks`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:408 in public method `cpu_time`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:412 in public method `cuda_time`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:416 in public method `privateuse1_time`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:420 in public class `Interval`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:421 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:425 in public method `elapsed_us`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:435 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:488 in public method `append_kernel`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:518 in public method `self_cpu_memory_usage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:526 in public method `self_cuda_memory_usage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:534 in public method `self_privateuse1_memory_usage`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:542 in public method `self_cpu_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:550 in public method `cuda_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:567 in public method `self_cuda_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:579 in public method `cpu_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:586 in public method `self_privateuse1_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:598 in public method `privateuse1_time_total`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:615 in public method `key`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:618 in public method `__repr__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:659 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:687 in public method `add`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:726 in public method `__iadd__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:729 in public method `__repr__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:763 in public class `StringTable`: D101: Missing docstring in public class /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:764 in public method `__missing__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:775 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/profiler_util.py:783 in public method `in_interval`: D102: Missing docstring in public method 33 ``` 7) torch/autograd/grad_mode.py Before: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:73 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:78 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:82 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:133 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:137 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:182 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:187 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:190 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:193 in public method `clone`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:198 in public class `inference_mode`: D400: First line should end with a period (not 'e') /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:250 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:257 in public method `__new__`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:262 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:266 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:269 in public method `clone`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:301 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:306 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:309 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:312 in public method `clone`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:354 in private class `_unsafe_preserve_version_counter`: D400: First line should end with a period (not '!') 21 ``` After: ``` /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:1 at module level: D100: Missing docstring in public module /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:73 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:78 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:82 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:133 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:137 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:182 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:187 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:190 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:193 in public method `clone`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:250 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:257 in public method `__new__`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:262 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:266 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:269 in public method `clone`: D102: Missing docstring in public method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:301 in public method `__init__`: D107: Missing docstring in __init__ /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:306 in public method `__enter__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:309 in public method `__exit__`: D105: Missing docstring in magic method /home/ubuntu/Desktop/Docathon/pytorch/torch/autograd/grad_mode.py:312 in public method `clone`: D102: Missing docstring in public method 19 ``` @svekars @kit1980 @subramen Pull Request resolved: https://github.com/pytorch/pytorch/pull/113266 Approved by: https://github.com/aaronenyeshi, https://github.com/soulitzer, https://github.com/kit1980 |
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| 3bf922a6ce |
Apply UFMT to low traffic torch modules (#106249)
Signed-off-by: Edward Z. Yang <ezyang@meta.com> Pull Request resolved: https://github.com/pytorch/pytorch/pull/106249 Approved by: https://github.com/Skylion007 |
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| 5b1cedacde |
[BE] [2/3] Rewrite super() calls in functorch and torch (#94588)
Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied. - #94587 - #94588 - #94592 Also, methods with only a `super()` call are removed: ```diff class MyModule(nn.Module): - def __init__(self): - super().__init__() - def forward(self, ...): ... ``` Some cases that change the semantics should be kept unchanged. E.g.: |
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| b2f3ff6183 |
[Py3.11] Remove skip logic from vmap and forward_ad (#91825)
Depends on https://github.com/pytorch/pytorch/pull/91805 Fixes https://github.com/pytorch/pytorch/issues/85506 Pull Request resolved: https://github.com/pytorch/pytorch/pull/91825 Approved by: https://github.com/albanD |
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| 5aa3740d63 |
Change references to pytorch/functorch to the torch.func APIs (#92543)
Test Plan: - existing tests Pull Request resolved: https://github.com/pytorch/pytorch/pull/92543 Approved by: https://github.com/albanD |
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| ad782ff7df |
Enable xdoctest runner in CI for real this time (#83816)
Builds on #83317 and enables running the doctests. Just need to figure out what is causing the failures. Pull Request resolved: https://github.com/pytorch/pytorch/pull/83816 Approved by: https://github.com/ezyang, https://github.com/malfet |
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| 24c3ad7851 |
Move private forward grad mode helpers to torch.autograd.forward_ad (#90240)
Motivation - These were previously defined in functorch. They are not functorch-specific, so I'm moving them to torch.autograd.forward_ad and the autograd python bindings. - I need this to avoid some of my cyclic import problems. Should these be public APIs? Probably. Though this needs discussion, so punting it to the future. Test Plan: - moved the tests of these from test/functorch/test_eager_transforms.py to test/test_autograd.py Pull Request resolved: https://github.com/pytorch/pytorch/pull/90240 Approved by: https://github.com/soulitzer |
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| f884e817d4 |
Make Python op registration work with torchdeploy/multipy (#87162)
See strategy at PythonOpRegistrationTrampoline.cpp for the big picture. Along the way, I made OperatorHandle support == and hashing, and slightly changed the low level python_dispatch impl API to disallow empty strings for dispatch key, which had the knock on effect of requiring us to explicitly make sure we pass in CompositeImplicitAutograd if we would have passed in "" (I didn't apply this to the rest of the file because I'm lazy.) Test strategy is we delete the logic for preventing Python op registrations in torch from being skipped in a torchdeploy context and show CI still works. Signed-off-by: Edward Z. Yang <ezyang@fb.com> Pull Request resolved: https://github.com/pytorch/pytorch/pull/87162 Approved by: https://github.com/anjali411, https://github.com/bdhirsh |
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| 936e93058b |
Delete torch::deploy from pytorch core (#85953)
As we have migrated torch::deploy over to https://github.com/pytorch/multipy, we can now delete it from pytorch core as ongoing development will happen there. This PR was created due to syncing issues with https://github.com/pytorch/pytorch/pull/85443 which is where the review history can be found. Pull Request resolved: https://github.com/pytorch/pytorch/pull/85953 Approved by: https://github.com/seemethere, https://github.com/malfet |
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| 28061d50e6 |
Lazily load decompositions for jvp (#85989)
Reduces time it takes to run `python -c "import torch"` by ~10% See https://github.com/pytorch/pytorch/issues/85513 Pull Request resolved: https://github.com/pytorch/pytorch/pull/85989 Approved by: https://github.com/albanD, https://github.com/zou3519 |
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| 4618371da5 |
Integrate xdoctest - Rebased (#82797)
This is a new version of #15648 based on the latest master branch. Unlike the previous PR where I fixed a lot of the doctests in addition to integrating xdoctest, I'm going to reduce the scope here. I'm simply going to integrate xdoctest, and then I'm going to mark all of the failing tests as "SKIP". This will let xdoctest run on the dashboards, provide some value, and still let the dashboards pass. I'll leave fixing the doctests themselves to another PR. In my initial commit, I do the bare minimum to get something running with failing dashboards. The few tests that I marked as skip are causing segfaults. Running xdoctest results in 293 failed, 201 passed tests. The next commits will be to disable those tests. (unfortunately I don't have a tool that will insert the `#xdoctest: +SKIP` directive over every failing test, so I'm going to do this mostly manually.) Fixes https://github.com/pytorch/pytorch/issues/71105 @ezyang Pull Request resolved: https://github.com/pytorch/pytorch/pull/82797 Approved by: https://github.com/ezyang |
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| c88367442d |
[forward ad] forbid non-float non-complex tangent and primal
Pull Request resolved: https://github.com/pytorch/pytorch/pull/78361 Approved by: https://github.com/albanD |
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| 65a8f8f62e |
Add __all__ for torch.autograd.{anomaly_mode, gradcheck, forward_ad}
Pull Request resolved: https://github.com/pytorch/pytorch/pull/76492 Approved by: https://github.com/albanD, https://github.com/soulitzer |
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| 0c2b1b8bcf |
Update docs for forward AD and make them public (#71643)
Summary: Follow up: we would need to update the links to the tutorial later Pull Request resolved: https://github.com/pytorch/pytorch/pull/71643 Reviewed By: albanD Differential Revision: D33713982 Pulled By: soulitzer fbshipit-source-id: a314ffa4e7d5c5ebdef9c50033f338b06578d71c (cherry picked from commit ba30daaaa5bb79619332f59e6826f19623bc1697) |
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| ecb6defa36 |
Fixed docs for forward_ad.make_dual (#71159)
Summary: Minor docs change. Pull Request resolved: https://github.com/pytorch/pytorch/pull/71159 Reviewed By: mruberry Differential Revision: D33530031 Pulled By: albanD fbshipit-source-id: e0bbe3a29a7de675fa4c9bf90976616f0e093f74 |
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| 7956a405ef |
Make make_dual also return namedtuple when level less than zero (#68628)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/68628 Test Plan: Imported from OSS Reviewed By: jbschlosser Differential Revision: D32899681 Pulled By: soulitzer fbshipit-source-id: 61ed09f4038e19817978a521e9571fdc482b424b |
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| 22e73f616c |
Update unpack_dual to return named tuple (#68062)
Summary: Also updates the doc Pull Request resolved: https://github.com/pytorch/pytorch/pull/68062 Reviewed By: gchanan Differential Revision: D32315089 Pulled By: soulitzer fbshipit-source-id: 567c812da093daeb6549b0dc7ecbffd58eb8ccc2 |
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| 716a8c2153 |
make forward AD API private (#51693)
Summary: Avoid leaking private functions in `torch.` namespace. Pull Request resolved: https://github.com/pytorch/pytorch/pull/51693 Reviewed By: gchanan Differential Revision: D26245046 Pulled By: albanD fbshipit-source-id: 5481b57eb56ba96581848598d32ebf5894a7adf0 |
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| c23808d8e8 |
Reland: Add base forward grad logic (#49734)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49734 RFC: https://github.com/pytorch/rfcs/pull/11 This PR add the basic logic to handle forward grad as dual Tensors. It contains the following: - Mechanism to save dual state on a Tensor and clear it up when the dual level ends - C++ and python user facing API - Updated view system that is able to track both forward and backward views The current PR has the following limitations: - Extensive tests are in the next PR in the stack as formulas are needed to write full tests. - Only the manual formulas have been audited and no other formula is actually implemented here (they are in the next PR in the stack) - Only level 0 is allowed for now. This was discussed and agreed that it is not needed for the first version of this PR. - We can save one ViewInfo creation when both the forward and backward views have the same base. This can be done by adding a boolean flag to the DifferentiableViewMeta and extra logic in the `as_view` method. This is left out to keep this PR concise. - We can skip tracking forward views if the base has a forward grad. This can be done by adding extra logic in the `as_view` method. This is left out to keep this PR concise. Reading guide: - Updated view handling in [gen_variable_type.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-f6553cec68caeaea36f6c8b14ff76a6d39dfd774e0ea9ef2f76e8d81fd9af5df), [VariableTypeUtils.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-ec71cfa45954dece1236c661d170e6341879c5be637f4abf52e826d61b40695a), [variable.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-60e3bfe444e89efc7149f25b38e472710525984789934ab83f1bd5671b8ff285) (skip code below "[Forward Grad View]" for now), [variable.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-1604bcd0e4350ed99ec45e437cee7ac9ebe337392c9ea16a236247aeeb35b02bR266-R542) and [custom_function.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-dd85f452082b5bb6612bbc12adb496f8827defa228509f7b493de1d517522d5d). This introduces the new ViewInfo to hold view informations shared for forward and backward. It also updates the differentiable view meta to use this. And it updates the as_view function to handle both forward and backward view. - New forward grad class that handle storing gradients and tracking at each level [forward_grad.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-c6c5b9ab2d7e5dde4102495faa1b6bbbfc23aa3e47deb7359c0bfe1eb004c0cb), [forward_grad.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-de2ab54ade7312701850d71a119a4f4ee4b9fc5a9c42a467cdd4e73c033531dd) and [build_variables.bzl](https://github.com/pytorch/pytorch/pull/49097/files#diff-dfdfa2efb17beddfd9094524f95351fd197db6c8857e96b436fb599870359325). EDIT: These files also contain the new flag to globally disable forward AD that allows us to reduce performance issues while this is in development. - Lowest level API and binding between Tensor and AutogradMeta in [TensorBody.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-7554853205392fa743357bf845ecc350a974ec049383248c12daaf2f4de04911), [TensorImpl.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-052bd9150ef8e09289ddf644b5a6830ede49207201cd41728f6d7cc6d9cead94), [TensorImpl.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-a15aae4cf23da44970db7cece62ff981265575c798c62f7b52d87c8809dfe2e1) and the rest of [variable.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-60e3bfe444e89efc7149f25b38e472710525984789934ab83f1bd5671b8ff285R557-R677) - API to access the forward primal that needs to be a differentiable function (and so in native_functions.yaml) [native_functions.yaml](https://github.com/pytorch/pytorch/pull/49097/files#diff-2f3dbd85efb9b5172f2264eedd3be47dd765e6ab7cc8bf3ade5e62c28ae35991) [NamedRegistrations.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-69bd3bea510c9b64e1633fa18c3ea63d4b8348dbad3a78ad9de844ab3e43dc1d), [VariableMethodsStub.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-23f5fcb737a2b289811fe0f4b65aef775e7c824b2e629ecd343df51405cd434f), [derivatives.yaml](https://github.com/pytorch/pytorch/pull/49097/files#diff-e4c2f99a2404e98c3586e07425da73008f36b1bada790648a7297af141d37f8c), [gen_python_functions.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-e4c2f99a2404e98c3586e07425da73008f36b1bada790648a7297af141d37f8c), [gen_trace_type.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-54e0b976027bf8debefb959ff360b89ae93466970c843365b1b3a03806d868ce), [TraceTypeManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-f34636741ad4a23d018e0c289bc750c3bad887b45660e1d6eaf440d234a78fbf) and [part of VariableTypeManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-6e19a1bce8cbdba8714b6e2c794a76bc0864b64a49cfa757cb0b5afdc937d1a4R198-R243) - c++ API [autograd.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-349028fbe8291a965a7a263c323b208fe071c35c66179ee997ef84fa81aa4b1e), [autograd.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-a3fe908d67dfec16a1fcde300de68b0701bf68b88db7451f29f2bee255cf30c9) - python binding [init.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-c58a67c85191c22c9b3bb439117d8053edfd9dea839fa010cf967d404c3c630d) - python API [forward_ad.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-a4efad4ba18fffdfb264c21e5475997a24a743089a899f8ec1a5ff962c6738d9), [autograd/__init__.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-743abcafd32ad0e69f39ac5a91df4197b7e1921c135cacee7ef6dc829a8a7af8) - c++ and python printing [Formatting.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-881dba501e71662e2e4818b4b016f739b344c8aed2f5edc6b871eda47a2aced0), [_tensor_str.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-a7911f8d5e73adbff914d99fd7818ace2a7030b6a3748abe06ec6fc6e3df9cc3) - Utility for formulas and updated manual functions to respect new view system as well as forward grad [FunctionsManual.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-6378bb6dc81a64dab676d61731341fa5d1088418f32a1473a33a0ccfc2357dc1), [FunctionsManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-4adbd88239afcd60e8198aab65d4f5e43b62314e34b80551e997a1ea503adea5) [rest of VariableTypeManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-6e19a1bce8cbdba8714b6e2c794a76bc0864b64a49cfa757cb0b5afdc937d1a4R264-R433) - Ensure SavedVariable save forward grad properly [saved_variable.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-c1b8039d776241abe177d5aa99b79dd9489a9b3e529da8ab24c2e386c1238ae2), [saved_variable.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-cc9fba479b5beae06b2eea2e390d17796e0341c5b037a20b5bcaccbb0c341030) Test Plan: Imported from OSS Reviewed By: gchanan Differential Revision: D25678797 Pulled By: albanD fbshipit-source-id: 3d58550c11b5f58b9b73fd30596d042b857fb9dd |
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| f5178bf151 |
Revert D25607503: Add base forward grad logic
Test Plan: revert-hammer
Differential Revision:
D25607503 (
|
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| fdf02eff3d |
Add base forward grad logic (#49097)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49097 RFC: https://github.com/pytorch/rfcs/pull/11 This PR add the basic logic to handle forward grad as dual Tensors. It contains the following: - Mechanism to save dual state on a Tensor and clear it up when the dual level ends - C++ and python user facing API - Updated view system that is able to track both forward and backward views The current PR has the following limitations: - Extensive tests are in the next PR in the stack as formulas are needed to write full tests. - Only the manual formulas have been audited and no other formula is actually implemented here (they are in the next PR in the stack) - Only level 0 is allowed for now. This was discussed and agreed that it is not needed for the first version of this PR. - We can save one ViewInfo creation when both the forward and backward views have the same base. This can be done by adding a boolean flag to the DifferentiableViewMeta and extra logic in the `as_view` method. This is left out to keep this PR concise. - We can skip tracking forward views if the base has a forward grad. This can be done by adding extra logic in the `as_view` method. This is left out to keep this PR concise. Reading guide: - Updated view handling in [gen_variable_type.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-f6553cec68caeaea36f6c8b14ff76a6d39dfd774e0ea9ef2f76e8d81fd9af5df), [VariableTypeUtils.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-ec71cfa45954dece1236c661d170e6341879c5be637f4abf52e826d61b40695a), [variable.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-60e3bfe444e89efc7149f25b38e472710525984789934ab83f1bd5671b8ff285) (skip code below "[Forward Grad View]" for now), [variable.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-1604bcd0e4350ed99ec45e437cee7ac9ebe337392c9ea16a236247aeeb35b02bR266-R542) and [custom_function.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-dd85f452082b5bb6612bbc12adb496f8827defa228509f7b493de1d517522d5d). This introduces the new ViewInfo to hold view informations shared for forward and backward. It also updates the differentiable view meta to use this. And it updates the as_view function to handle both forward and backward view. - New forward grad class that handle storing gradients and tracking at each level [forward_grad.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-c6c5b9ab2d7e5dde4102495faa1b6bbbfc23aa3e47deb7359c0bfe1eb004c0cb), [forward_grad.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-de2ab54ade7312701850d71a119a4f4ee4b9fc5a9c42a467cdd4e73c033531dd) and [build_variables.bzl](https://github.com/pytorch/pytorch/pull/49097/files#diff-dfdfa2efb17beddfd9094524f95351fd197db6c8857e96b436fb599870359325). EDIT: These files also contain the new flag to globally disable forward AD that allows us to reduce performance issues while this is in development. - Lowest level API and binding between Tensor and AutogradMeta in [TensorBody.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-7554853205392fa743357bf845ecc350a974ec049383248c12daaf2f4de04911), [TensorImpl.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-052bd9150ef8e09289ddf644b5a6830ede49207201cd41728f6d7cc6d9cead94), [TensorImpl.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-a15aae4cf23da44970db7cece62ff981265575c798c62f7b52d87c8809dfe2e1) and the rest of [variable.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-60e3bfe444e89efc7149f25b38e472710525984789934ab83f1bd5671b8ff285R557-R677) - API to access the forward primal that needs to be a differentiable function (and so in native_functions.yaml) [native_functions.yaml](https://github.com/pytorch/pytorch/pull/49097/files#diff-2f3dbd85efb9b5172f2264eedd3be47dd765e6ab7cc8bf3ade5e62c28ae35991) [NamedRegistrations.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-69bd3bea510c9b64e1633fa18c3ea63d4b8348dbad3a78ad9de844ab3e43dc1d), [VariableMethodsStub.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-23f5fcb737a2b289811fe0f4b65aef775e7c824b2e629ecd343df51405cd434f), [derivatives.yaml](https://github.com/pytorch/pytorch/pull/49097/files#diff-e4c2f99a2404e98c3586e07425da73008f36b1bada790648a7297af141d37f8c), [gen_python_functions.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-e4c2f99a2404e98c3586e07425da73008f36b1bada790648a7297af141d37f8c), [gen_trace_type.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-54e0b976027bf8debefb959ff360b89ae93466970c843365b1b3a03806d868ce), [TraceTypeManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-f34636741ad4a23d018e0c289bc750c3bad887b45660e1d6eaf440d234a78fbf) and [part of VariableTypeManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-6e19a1bce8cbdba8714b6e2c794a76bc0864b64a49cfa757cb0b5afdc937d1a4R198-R243) - c++ API [autograd.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-349028fbe8291a965a7a263c323b208fe071c35c66179ee997ef84fa81aa4b1e), [autograd.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-a3fe908d67dfec16a1fcde300de68b0701bf68b88db7451f29f2bee255cf30c9) - python binding [init.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-c58a67c85191c22c9b3bb439117d8053edfd9dea839fa010cf967d404c3c630d) - python API [forward_ad.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-a4efad4ba18fffdfb264c21e5475997a24a743089a899f8ec1a5ff962c6738d9), [autograd/__init__.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-743abcafd32ad0e69f39ac5a91df4197b7e1921c135cacee7ef6dc829a8a7af8) - c++ and python printing [Formatting.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-881dba501e71662e2e4818b4b016f739b344c8aed2f5edc6b871eda47a2aced0), [_tensor_str.py](https://github.com/pytorch/pytorch/pull/49097/files#diff-a7911f8d5e73adbff914d99fd7818ace2a7030b6a3748abe06ec6fc6e3df9cc3) - Utility for formulas and updated manual functions to respect new view system as well as forward grad [FunctionsManual.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-6378bb6dc81a64dab676d61731341fa5d1088418f32a1473a33a0ccfc2357dc1), [FunctionsManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-4adbd88239afcd60e8198aab65d4f5e43b62314e34b80551e997a1ea503adea5) [rest of VariableTypeManual.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-6e19a1bce8cbdba8714b6e2c794a76bc0864b64a49cfa757cb0b5afdc937d1a4R264-R433) - Ensure SavedVariable save forward grad properly [saved_variable.h](https://github.com/pytorch/pytorch/pull/49097/files#diff-c1b8039d776241abe177d5aa99b79dd9489a9b3e529da8ab24c2e386c1238ae2), [saved_variable.cpp](https://github.com/pytorch/pytorch/pull/49097/files#diff-cc9fba479b5beae06b2eea2e390d17796e0341c5b037a20b5bcaccbb0c341030) Test Plan: Imported from OSS Reviewed By: mrshenli Differential Revision: D25607503 Pulled By: albanD fbshipit-source-id: f1396290de1d75760f3d380c43cdd56e86fa6099 |
