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pytorch/torch
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Xuehai Pan 45411d1fc9 Use absolute path path.resolve() -> path.absolute() (#129409) 
Changes:

1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD
2025-01-03 20:03:40 +00:00
..
_awaits
_C Add get_stream_from_external API for CUDA backend (#143799) 2024-12-31 11:15:59 +00:00
_C_flatbuffer
_custom_op
_decomp [Inductor][CPU] disable bernoulli_p decomposition (#143460) 2024-12-19 11:21:35 +00:00
_dispatch Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_dynamo [while_loop][dynamo] auto-unspecialize int input and output to unbacked symints (#143106) 2025-01-03 19:01:07 +00:00
_export remove allow-untyped-defs from _export/db/logging.py (#144093) 2025-01-03 19:36:14 +00:00
_functorch [1/n] Support Dynamic Memory Budget in Auto AC (#143539) 2024-12-21 07:38:52 +00:00
_higher_order_ops [while_loop][dynamo] auto-unspecialize int input and output to unbacked symints (#143106) 2025-01-03 19:01:07 +00:00
_inductor Use absolute path path.resolve() -> path.absolute() (#129409) 2025-01-03 20:03:40 +00:00
_lazy remove allow-untyped-defs from torch/_lazy/config.py (#143603) 2024-12-20 05:34:19 +00:00
_library Revert "[export] don't decompose custom triton op when exporting (#142426)" 2024-12-19 21:21:38 +00:00
_logging Use absolute path path.resolve() -> path.absolute() (#129409) 2025-01-03 20:03:40 +00:00
_numpy [BE][CI] bump ruff to 0.8.4 (#143753) 2024-12-24 12:24:10 +00:00
_prims Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_prims_common Pass allow_rhs_unbacked to the stride test in metadata test too (#143040) 2024-12-19 09:37:50 +00:00
_refs Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_strobelight Propagate callable parameter types using ParamSpec (#142306) (#143797) 2024-12-29 23:03:14 +00:00
_subclasses Propagate callable parameter types using ParamSpec (#142306) (#143797) 2024-12-29 23:03:14 +00:00
_vendor
accelerator torch/accelerator: fix device type comparison (#143541) 2024-12-23 10:54:53 +00:00
amp
ao remove allow-untyped-defs from ao/quantization/experimental/fake_quantize.py (#144091) 2025-01-03 01:26:36 +00:00
autograd [BE][CI] bump ruff to 0.8.4 (#143753) 2024-12-24 12:24:10 +00:00
backends [ARM][feat]: Add 4 bit dynamic quantization matmuls & KleidiAI Backend (#134124) 2024-12-20 19:32:03 +00:00
compiler [export] add is_exporting flag (#142425) 2024-12-18 21:36:28 +00:00
contrib [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
cpu
csrc [dynamo][easy] Minor fixes in guards.cpp (#144130) 2025-01-03 18:22:56 +00:00
cuda Refine CUDA Stream priority (#143849) 2024-12-31 11:15:59 +00:00
distributed remove allow-untyped-defs from torch/distributed/fsdp/_dynamo_utils.py (#144131) 2025-01-03 19:07:21 +00:00
distributions Remove some unused type ignores (round 1) (#142325) 2024-12-09 18:23:46 +00:00
export Enable ruff's unused variable checking everywhere in pytorch (#136965) 2024-12-22 02:33:11 +00:00
fft [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
func [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
futures [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
fx subgraph rewriter supports matched pattern with no users (#143842) 2024-12-27 12:45:39 +00:00
jit Add warning to torch.jit.load (#143403) 2024-12-18 00:17:41 +00:00
legacy
lib
linalg [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
masked remove allow-untyped-defs for torch/masked/maskedtensor/creation.py (#143321) 2024-12-17 16:44:50 +00:00
monitor [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
mps remove allow-untyped-defs from torch/mps/event.py (#144092) 2025-01-03 01:20:17 +00:00
mtia Revert "[MTIA] (3/n) Implement PyTorch APIs to query/reset device peak memory usage (#143347)" 2024-12-21 04:04:16 +00:00
multiprocessing [BE][CI] bump ruff to 0.8.4 (#143753) 2024-12-24 12:24:10 +00:00
nested [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
nn Revert "Rewrite _reparametrize_module to use contextmanager (#138203)" 2025-01-03 18:17:32 +00:00
onnx Use absolute path path.resolve() -> path.absolute() (#129409) 2025-01-03 20:03:40 +00:00
optim Clarify what we mean by decoupled weight decay in the *AdamWs (#144101) 2025-01-03 19:06:00 +00:00
package Use absolute path path.resolve() -> path.absolute() (#129409) 2025-01-03 20:03:40 +00:00
profiler [pytorch/et] Allow ET to save additional resources for completing a trace like generated kernels and index tensor data (#143775) 2024-12-26 21:15:39 +00:00
quantization
signal [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
sparse
special [BE][Easy] enable PYFMT for torch/[a-s]*/ (#138447) 2024-12-23 14:04:00 +00:00
testing Use absolute path path.resolve() -> path.absolute() (#129409) 2025-01-03 20:03:40 +00:00
utils Use absolute path path.resolve() -> path.absolute() (#129409) 2025-01-03 20:03:40 +00:00
xpu Add get_stream_from_external API for XPU backend (#141123) 2024-12-31 11:15:52 +00:00
__config__.py remove allow-untyped-defs for torch/__config__.py (#143320) 2024-12-17 00:16:09 +00:00
__future__.py
__init__.py Rename cache limit to recompile limit in configs (#143709) 2024-12-22 10:03:57 +00:00
_appdirs.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_classes.py
_compile.py
_custom_ops.py
_deploy.py
_environment.py
_guards.py [ca] add compiled autograd to CompileId (#141907) 2024-12-21 00:41:24 +00:00
_jit_internal.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_linalg_utils.py
_lobpcg.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_lowrank.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_meta_registrations.py [ROCm] Add miopen_batch_norm to meta_registrations to fix AOTI issue (#143569) 2024-12-24 23:43:11 +00:00
_namedtensor_internals.py
_ops.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_python_dispatcher.py
_size_docs.py remove allow-untyped-defs from torch/_size_docs.py (#143942) 2024-12-29 01:00:46 +00:00
_sources.py
_storage_docs.py
_streambase.py
_tensor.py __cuda_array_interface__: Use "<V2" for bfloat16. (#143042) 2024-12-14 06:27:52 +00:00
_tensor_docs.py
_tensor_str.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
_thread_safe_fork.py
_torch_docs.py [Easy] Add torch.range, torch.arange params optional description (#143731) 2024-12-24 01:29:24 +00:00
_utils.py Reraise worker errors as runtime errors in more cases when the original exception can't be constructed (#140911) 2024-12-14 03:11:36 +00:00
_utils_internal.py [reland] Kill capture_pre_autograd_graph API (#143426) 2024-12-18 12:07:09 +00:00
_VF.py
_vmap_internals.py
_weights_only_unpickler.py Remove unused Python variables in torch/[_-a]* (#133492) 2024-12-12 17:39:14 +00:00
abi-check.cpp
CMakeLists.txt export AOTI_TORCH_EXPORT on Windows. (#140030) 2025-01-03 05:41:06 +00:00
custom_class.h
custom_class_detail.h Enable readability-redundant-declaration (#143982) 2024-12-31 00:20:10 +00:00
extension.h
functional.py
hub.py
library.h Enable more readability-redundant checks (#143963) 2024-12-30 14:49:33 +00:00
library.py make it clearer (in docs) one can double decorate with torch.library.impl_* APIs (#137608) 2024-12-17 15:13:58 +00:00
overrides.py [dim_order] raised runtime error when tensor has ambiguous dim order (#141632) 2024-12-08 23:16:57 +00:00
py.typed
quasirandom.py
random.py
README.txt
return_types.py
script.h
serialization.py Add config.save.use_pinned_memory_for_d2h to serialization config (#143342) 2024-12-20 21:01:18 +00:00
storage.py
torch_version.py
types.py
version.py.tpl

README.txt 

Note [TH abstraction violation]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

TH/THC provide some hpp headers, which are proper C++ headers rather than
C headers.  These headers serve double duty as *internal implementation
detail* headers, whose contents should largely not be used by external
clients.

Ideally, we would not install these headers at all; instead, you should
use public functions (in headers like `THTensor.h`, NOT `THTensor.hpp`)
to manipulate these structs.  However, there are a few places
in torch/csrc where we violate this abstraction.  They are marked with
a pointer to this note.  Each of those sites will have to be refactored
when we refactor the guts of THTensor and related structures.