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[BE] fix typos in top-level files (#156067)

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Pull Request resolved: https://github.com/pytorch/pytorch/pull/156067
Approved by: https://github.com/malfet
ghstack dependencies: #156066
This commit is contained in:
Xuehai Pan
2025-06-16 18:55:09 +08:00
committed by PyTorch MergeBot
parent 6c493e2b14
commit 013dfeabb4
11 changed files with 34 additions and 33 deletions
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1
.lintrunner.toml
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@ -1158,7 +1158,6 @@ exclude_patterns = [
'torch/_inductor/autoheuristic/artifacts/**',
# These files are all grandfathered in, feel free to remove from this list
# as necessary
'*',
'.ci/**',
'.circleci/**',
'.github/**',

2
BUILD.bazel
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@ -500,7 +500,7 @@ filegroup(
# To achieve finer granularity and make debug easier, caffe2 is split into three libraries:
# ATen, caffe2 and caffe2_for_aten_headers. ATen lib group up source codes under
# aten/ directory and caffe2 contains most files under `caffe2/` directory. Since the
# ATen lib and the caffe2 lib would depend on each other, `caffe2_for_aten_headers` is splitted
# ATen lib and the caffe2 lib would depend on each other, `caffe2_for_aten_headers` is split
# out from `caffe2` to avoid dependency cycle.
cc_library(
name = "caffe2_for_aten_headers",

4
CMakeLists.txt
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@ -700,7 +700,7 @@ endif()
if(USE_KLEIDIAI AND CMAKE_C_COMPILER_VERSION)
if(CMAKE_C_COMPILER_VERSION VERSION_LESS 11)
set(USE_KLEIDIAI OFF)
message(WARNING "Disabling KleidiAI: Requires atleast GCC 11 or Clang 11")
message(WARNING "Disabling KleidiAI: Requires at least GCC 11 or Clang 11")
endif()
endif()
@ -1258,7 +1258,7 @@ endif()
add_subdirectory(c10)
add_subdirectory(caffe2)
# ---[ CMake related files Uninistall option.
# ---[ CMake related files Uninstall option.
if(NOT TARGET caffe2_uninstall)
configure_file(
${CMAKE_CURRENT_SOURCE_DIR}/cmake/cmake_uninstall.cmake.in

2
Dockerfile
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@ -70,7 +70,7 @@ RUN /opt/conda/bin/conda install -y python=${PYTHON_VERSION}
ARG TARGETPLATFORM
# INSTALL_CHANNEL whl - release, whl/nightly - nightly, whle/test - test channels
# INSTALL_CHANNEL whl - release, whl/nightly - nightly, whl/test - test channels
RUN case ${TARGETPLATFORM} in \
"linux/arm64") pip install --extra-index-url https://download.pytorch.org/whl/cpu/ torch torchvision torchaudio ;; \
*) pip install --index-url https://download.pytorch.org/${INSTALL_CHANNEL}/${CUDA_PATH#.}/ torch torchvision torchaudio ;; \

44
buckbuild.bzl
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@ -402,7 +402,7 @@ def get_aten_generated_files(enabled_backends):
# This is tiresome. A better strategy would be to unconditionally
# generate these files, and then only actually COMPILE them depended
# on the generated set. C'est la vie...
# on the generated set. C'est la vie... # codespell:ignore vie
if "CPU" in enabled_backends:
src_files.extend(aten_ufunc_generated_cpu_sources())
src_files.extend(aten_ufunc_generated_cpu_kernel_sources())
@ -525,7 +525,7 @@ def copy_template_registration_files(name, apple_sdks = None):
# Ideally, we would run one copy command for a single source directory along
# with all its child directories, but it's somewhat hard to know if a directory
# is a child of another just bu looking at the metadata (directory relative
# is a child of another just by looking at the metadata (directory relative
# path) that we currently have since 1 directory could look like a parent of
# another and yet come from a different filegroup() rule.
#
@ -776,7 +776,7 @@ def copy_metal(name, apple_sdks = None):
# Metal custom ops currently have to be brought into selective build because they directly reference metal ops instead of
# going through the dispatcher. There is some weird issues with the genrule and these files locations on windows though, so
# for now we simply skip building them for windows where they very likely arent needed anyway.
# for now we simply skip building them for windows where they very likely aren't needed anyway.
# Metal MaskRCNN custom op
for full_path in METAL_MASKRCNN_SOURCE_LIST:
path_prefix = paths.dirname(full_path)
@ -792,7 +792,7 @@ def copy_metal(name, apple_sdks = None):
name = name,
cmd = " && ".join(cmd),
cmd_exe = "@powershell -Command " + ("; ".join(cmd_exe)),
# due to an obscure bug certain custom ops werent being copied correctly on windows. ARVR also sometimes builds android targets on windows,
# due to an obscure bug certain custom ops weren't being copied correctly on windows. ARVR also sometimes builds android targets on windows,
# so we just exclude those targets from being copied for those platforms (They end up uncompiled anyway).
outs = select({
"DEFAULT": get_metal_registration_files_outs(),
@ -1256,11 +1256,11 @@ def define_buck_targets(
extra_flags = {
"fbandroid_compiler_flags": ["-frtti"],
},
# torch_mobile_deserialize brings in sources neccessary to read a module
# torch_mobile_deserialize brings in sources necessary to read a module
# which depends on mobile module definition
# link_whole is enable so that all symbols neccessary for mobile module are compiled
# link_whole is enable so that all symbols necessary for mobile module are compiled
# instead of only symbols used while loading; this prevents symbol
# found definied in runtime
# found defined in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
linker_flags = get_no_as_needed_linker_flag(),
@ -1376,11 +1376,11 @@ def define_buck_targets(
"torch/csrc/jit/mobile/import.h",
"torch/csrc/jit/mobile/flatbuffer_loader.h",
],
# torch_mobile_deserialize brings in sources neccessary to read a module
# torch_mobile_deserialize brings in sources necessary to read a module
# which depends on mobile module definition
# link_whole is enable so that all symbols neccessary for mobile module are compiled
# link_whole is enable so that all symbols necessary for mobile module are compiled
# instead of only symbols used while loading; this prevents symbol
# found definied in runtime
# found defined in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
linker_flags = get_no_as_needed_linker_flag(),
@ -1407,9 +1407,9 @@ def define_buck_targets(
exported_headers = [],
compiler_flags = get_pt_compiler_flags(),
exported_preprocessor_flags = get_pt_preprocessor_flags() + (["-DSYMBOLICATE_MOBILE_DEBUG_HANDLE"] if get_enable_eager_symbolication() else []),
# torch_mobile_core brings in sources neccessary to read and run a module
# torch_mobile_core brings in sources necessary to read and run a module
# link_whole is enabled so that all symbols linked
# operators, registerations and other few symbols are need in runtime
# operators, registrations and other few symbols are need in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
linker_flags = get_no_as_needed_linker_flag(),
@ -1523,10 +1523,10 @@ def define_buck_targets(
],
compiler_flags = get_pt_compiler_flags(),
exported_preprocessor_flags = get_pt_preprocessor_flags() + ["-DUSE_MOBILE_CLASSTYPE"],
# torch_mobile_train brings in sources neccessary to read and run a mobile
# torch_mobile_train brings in sources necessary to read and run a mobile
# and save and load mobile params along with autograd
# link_whole is enabled so that all symbols linked
# operators, registerations and autograd related symbols are need in runtime
# operators, registrations and autograd related symbols are need in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
visibility = ["PUBLIC"],
@ -1548,9 +1548,9 @@ def define_buck_targets(
],
compiler_flags = get_pt_compiler_flags(),
exported_preprocessor_flags = get_pt_preprocessor_flags(),
# torch brings in all sources neccessary to read and run a mobile module/jit module
# torch brings in all sources necessary to read and run a mobile module/jit module
# link_whole is enabled so that all symbols linked
# operators, registerations and other few symbols are need in runtime
# operators, registrations and other few symbols are need in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
visibility = ["PUBLIC"],
@ -1575,7 +1575,7 @@ def define_buck_targets(
],
compiler_flags = get_pt_compiler_flags(),
exported_preprocessor_flags = get_pt_preprocessor_flags() + ["-DUSE_MOBILE_CLASSTYPE"],
# torch_mobile_train_import_data brings in sources neccessary to read a mobile module
# torch_mobile_train_import_data brings in sources necessary to read a mobile module
# link_whole is enabled so that all symbols linked
# operators other few symbols are need in runtime
# @lint-ignore BUCKLINT link_whole
@ -1654,10 +1654,10 @@ def define_buck_targets(
],
compiler_flags = get_pt_compiler_flags(),
exported_preprocessor_flags = get_pt_preprocessor_flags() + (["-DSYMBOLICATE_MOBILE_DEBUG_HANDLE"] if get_enable_eager_symbolication() else []),
# torch_mobile_model_tracer brings in sources neccessary to read and run a jit module
# torch_mobile_model_tracer brings in sources necessary to read and run a jit module
# and trace the ops
# link_whole is enabled so that all symbols linked
# operators, registerations and other few symbols are need in runtime
# operators, registrations and other few symbols are need in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
linker_flags = get_no_as_needed_linker_flag(),
@ -1842,11 +1842,11 @@ def define_buck_targets(
extra_flags = {
"fbandroid_compiler_flags": ["-frtti"],
},
# torch_mobile_deserialize brings in sources neccessary to read a module
# torch_mobile_deserialize brings in sources necessary to read a module
# which depends on mobile module definition
# link_whole is enable so that all symbols neccessary for mobile module are compiled
# link_whole is enable so that all symbols necessary for mobile module are compiled
# instead of only symbols used while loading; this prevents symbol
# found definied in runtime
# found defined in runtime
# @lint-ignore BUCKLINT link_whole
link_whole = True,
linker_flags = get_no_as_needed_linker_flag(),

2
build_variables.bzl
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@ -1520,7 +1520,7 @@ aten_cuda_cu_with_sort_by_key_source_list = [
"aten/src/ATen/native/cuda/Unique.cu",
]
# Followings are source code for xnnpack delegate
# Following are source code for xnnpack delegate
xnnpack_delegate_serializer_header = [
"torch/csrc/jit/backends/xnnpack/serialization/serializer.h",

2
mypy-strict.ini
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@ -20,7 +20,7 @@ disallow_any_unimported = True
strict = True
implicit_reexport = False
# do not reenable this:
# do not re-enable this:
# https://github.com/pytorch/pytorch/pull/60006#issuecomment-866130657
warn_unused_ignores = False

2
mypy.ini
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@ -17,7 +17,7 @@ follow_imports = normal
local_partial_types = True
enable_error_code = possibly-undefined
# do not reenable this:
# do not re-enable this:
# https://github.com/pytorch/pytorch/pull/60006#issuecomment-866130657
warn_unused_ignores = False

2
pt_template_srcs.bzl
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@ -210,7 +210,7 @@ def get_metal_registration_files_outs():
# There is a really weird issue with the arvr windows builds where
# the custom op files are breaking them. See https://fburl.com/za87443c
# The hack is just to not build them for that platform and pray they arent needed.
# The hack is just to not build them for that platform and pray they aren't needed.
def get_metal_registration_files_outs_windows():
outs = {}
for file_path in METAL_SOURCE_LIST:

2
setup.py
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@ -427,7 +427,7 @@ def check_submodules():
end = time.time()
report(f" --- Submodule initialization took {end - start:.2f} sec")
except Exception:
report(" --- Submodule initalization failed")
report(" --- Submodule initialization failed")
report("Please run:\n\tgit submodule update --init --recursive")
sys.exit(1)
for folder in folders:

2
tools/linter/dictionary.txt
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@ -0,0 +1,2 @@
coo
Raison