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[NFC] Fix some minor typos. (#145599)

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Pull Request resolved: https://github.com/pytorch/pytorch/pull/145599
Approved by: https://github.com/Skylion007
This commit is contained in:
c8ef 2025-01-24 18:58:56 +00:00 committed by PyTorch MergeBot
parent 6cda572c98
commit a989a0b13a
5 changed files with 6 additions and 6 deletions
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4
torch/_inductor/codegen/wrapper.py
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@ -1078,7 +1078,7 @@ class PythonWrapperCodegen(CodeGen):
arg.get_dtype() if isinstance(arg, IRNode) else type(arg) arg.get_dtype() if isinstance(arg, IRNode) else type(arg)
for arg in raw_args for arg in raw_args
] ]
# Because generate_kernel_call can be overriden by a subclass, explictly call # Because generate_kernel_call can be overriden by a subclass, explicitly call
# PythonWrapperCodegen.generate_kernel_call here # PythonWrapperCodegen.generate_kernel_call here
PythonWrapperCodegen.generate_kernel_call( PythonWrapperCodegen.generate_kernel_call(
self, self,
@ -2376,7 +2376,7 @@ class PythonWrapperCodegen(CodeGen):
def codegen_subgraph_prefix(self, subgraph, outer_inputs, outer_outputs): def codegen_subgraph_prefix(self, subgraph, outer_inputs, outer_outputs):
# All inputs of hops must be explicitly passed in. # All inputs of hops must be explicitly passed in.
# Free tensors and basic symbols should have been explictily lifted as inputs in dynamo. # Free tensors and basic symbols should have been explicitly lifted as inputs in dynamo.
assert len(outer_inputs) == len( assert len(outer_inputs) == len(
subgraph.graph.graph_input_names subgraph.graph.graph_input_names
), f"graph_input_names:{subgraph.graph.graph_input_names}, outer_inputs: {outer_inputs}" ), f"graph_input_names:{subgraph.graph.graph_input_names}, outer_inputs: {outer_inputs}"

2
torch/csrc/jit/python/pybind_utils.h
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@ -691,7 +691,7 @@ inline IValue toTypeInferredIValue(py::handle input) {
if (auto mod = as_module(object)) { if (auto mod = as_module(object)) {
// if obj is already a ScriptModule, just return its ivalue // if obj is already a ScriptModule, just return its ivalue
auto ptr = mod.value()._ivalue(); auto ptr = mod.value()._ivalue();
// explict copy semantics for strong ownership of the resource. // explicit copy semantics for strong ownership of the resource.
return c10::intrusive_ptr<c10::ivalue::Object>::reclaim_copy( return c10::intrusive_ptr<c10::ivalue::Object>::reclaim_copy(
ptr.release()); ptr.release());
} }

2
torch/distributed/distributed_c10d.py
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@ -1811,7 +1811,7 @@ def _shutdown_backend(pg):
except RuntimeError: except RuntimeError:
pass pass
if is_nccl_available() and isinstance(backend, ProcessGroupNCCL): if is_nccl_available() and isinstance(backend, ProcessGroupNCCL):
# explictly call shutdown to ensure that NCCL resources are released # explicitly call shutdown to ensure that NCCL resources are released
backend._shutdown() backend._shutdown()

2
torch/distributed/pipelining/_backward.py
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@ -344,7 +344,7 @@ def stage_backward(
# 2. extract_tensors_with_grads referred to both stage_output_tensors, output_grad_tensors, # 2. extract_tensors_with_grads referred to both stage_output_tensors, output_grad_tensors,
# and to itself (extract_tensors_with_grads) since it makes a recursive call # and to itself (extract_tensors_with_grads) since it makes a recursive call
# 3. stage_output_tensors was kept alive by the above refcycle, and it holds activation tensors, which is bad # 3. stage_output_tensors was kept alive by the above refcycle, and it holds activation tensors, which is bad
# fix -> explictly pass in the ref to the fn, so there is no gc cycle anymore # fix -> explicitly pass in the ref to the fn, so there is no gc cycle anymore
extract_tensors_with_grads( extract_tensors_with_grads(
stage_output, output_grads, extract_tensors_with_grads stage_output, output_grads, extract_tensors_with_grads
) )

2
torchgen/gen_aoti_c_shim.py
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@ -142,7 +142,7 @@ def convert_arg_type_and_name( # type: ignore[return]
new_callsite_exprs, new_callsite_exprs,
) )
elif isinstance(typ, ListType): elif isinstance(typ, ListType):
# Need to explictly pass the list as pointer + length # Need to explicitly pass the list as pointer + length
c_types, names, aten_types, _ = convert_arg_type_and_name(typ.elem, name) c_types, names, aten_types, _ = convert_arg_type_and_name(typ.elem, name)
assert len(c_types) == 1, "ListType with unsupported element type " + repr(typ) assert len(c_types) == 1, "ListType with unsupported element type " + repr(typ)