pytorch/pytorch

Pattern Findings

46502 matches across 20 categories. Click a row to expand file-level details.

Hyper-Verbose Identifiers27463 hits · 21296 pts

Severity	File	Line	Snippet
LOW	setup.py	499	def extract_variant_from_version(version: str) -> str:
LOW	setup.py	619	def get_latest_nightly_version(variant: str = "cpu") -> str:
LOW	setup.py	652	def download_and_extract_nightly_wheel(version: str) -> None:
LOW	setup.py	1043	def configure_extension_build() -> tuple[
LOW	.spin/cmds.py	129	def regenerate_clangtidy_files():
LOW	.spin/cmds.py	458	def regenerate_github_workflows():
LOW	tools/gen_vulkan_spv.py	157	def extract_leading_whitespace(line: str) -> str:
LOW	tools/render_junit.py	52	def convert_junit_to_testcases(xml: JUnitXml \| TestSuite) -> list[TestCase]: # type: ignore[no-any-unimported]
LOW	tools/create_worktree.py	108	def clone_submodule_recursive(
LOW	tools/packaging/build_wheel.py	49	def get_supported_python_versions() -> list[str]:
LOW	tools/packaging/build_wheel.py	70	def _find_manylinux_interpreters() -> list[str]:
LOW	tools/experimental/torchfuzz/test_determinism.py	71	def test_deterministic_output():
LOW	tools/experimental/torchfuzz/ops_fuzzer.py	32	def _get_template_filtered_operators(
LOW	tools/experimental/torchfuzz/visualize_graph.py	136	def visualize_operation_graph(
LOW	tools/experimental/torchfuzz/visualize_graph.py	159	def operation_graph_to_networkx(graph: OperationGraph):
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	473	def _print_operation_distribution(results: list[FuzzerResult]) -> None:
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	190	def _compute_contiguous_strides(size: tuple[int, ...]) -> list[int]:
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	213	def _compute_non_contiguous_dense_strides(size: tuple[int, ...]) -> list[int]:
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	304	def _compute_storage_size_needed(
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	431	def fuzz_non_contiguous_dense_tensor(
LOW	tools/experimental/torchfuzz/README.md	572	def _register_default_operators(self):
LOW	tools/experimental/torchfuzz/fuzzer.py	27	def _parse_supported_ops_with_weights(spec: str) -> tuple[list[str], dict[str, float]]:
LOW	tools/experimental/torchfuzz/test_streams_template.py	31	def test_template_inherits_default_ops(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	37	def test_template_uses_backward_check(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	47	def test_codegen_creates_streams(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	51	def test_codegen_has_stream_context(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	55	def test_codegen_has_final_sync(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	63	def test_codegen_has_backward(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	67	def test_codegen_has_requires_grad(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	72	def test_codegen_cross_stream_sync(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	84	def test_codegen_event_based_sync(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	96	def test_codegen_deterministic(self):
LOW	tools/experimental/torchfuzz/test_streams_template.py	102	def test_codegen_is_valid_python(self):
LOW	tools/experimental/torchfuzz/codegen.py	341	def convert_graph_to_python_code(
LOW	tools/experimental/torchfuzz/codegen.py	514	def generate_simple_operation_code(
LOW	tools/experimental/torchfuzz/type_promotion.py	106	def get_promotion_table_for_strings() -> dict:
LOW	tools/experimental/torchfuzz/type_promotion.py	162	def get_scalar_promotion_pairs(
LOW	tools/experimental/torchfuzz/operators/registry.py	72	def _register_default_operators(self):
LOW	tools/experimental/torchfuzz/operators/registry.py	209	def set_operator_weight_by_torch_op(torch_op_name: str, weight: float) -> None:
LOW	tools/experimental/torchfuzz/operators/registry.py	220	def set_operator_weights_by_torch_op(weights: dict[str, float]) -> None:
LOW	tools/experimental/torchfuzz/cuda/_codegen.py	567	def _generate_random_placement(self, tensor_size):
LOW	tools/test/test_test_selections.py	110	def test_some_times_with_not_sort_by_time(self) -> None:
LOW	tools/test/test_test_selections.py	145	def test_serial_parallel_interleaving(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	28	def test_reports_torch_dot_library_dot_library(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	53	def test_reports_imported_library_name(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	76	def test_allows_noqa_alone_on_previous_line(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	88	def test_allows_multiline_call_if_any_line_has_noqa(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	102	def test_reports_multiline_call_without_noqa(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	118	def test_empty_on_syntax_error(self) -> None:
LOW	tools/test/test_scoped_library_linter.py	124	def test_no_match_for_non_library_call(self) -> None:
LOW	tools/test/test_utils.py	7	def test_create_from_namespaced_tuple(self) -> None:
LOW	tools/test/test_utils.py	18	def test_namespace_levels_more_than_max(self) -> None:
LOW	tools/test/test_test_run.py	24	def test_union_with_inclusions(self) -> None:
LOW	tools/test/test_test_run.py	33	def test_union_with_non_overlapping_exclusions(self) -> None:
LOW	tools/test/test_test_run.py	42	def test_union_with_overlapping_exclusions(self) -> None:
LOW	tools/test/test_test_run.py	51	def test_union_with_mixed_inclusion_exclusions(self) -> None:
LOW	tools/test/test_test_run.py	60	def test_union_with_mixed_files_fails(self) -> None:
LOW	tools/test/test_test_run.py	67	def test_union_with_empty_file_yields_orig_file(self) -> None:
LOW	tools/test/test_test_run.py	74	def test_subtracting_full_run_fails(self) -> None:
LOW	tools/test/test_test_run.py	80	def test_subtracting_empty_file_yields_orig_file(self) -> None:
27403 more matches not shown…

Over-Commented Block5261 hits · 4962 pts

Severity	File	Line	Snippet
LOW	CMakeLists.txt	721	message(WARNING "KleidiAI cannot be used on Mobile builds. Set it to OFF")
LOW	CMakeLists.txt	921	set(USE_FBGEMM OFF)
LOW	setup.py	1	# Welcome to the PyTorch setup.py.
LOW	setup.py	21	# which we have faithfully adhered to in our build system is that CFLAGS
LOW	setup.py	41	# DEBUG_CUDA=1
LOW	setup.py	61	# USE_MSLK=0
LOW	setup.py	81	# MKL-DNN threading mode: TBB or OMP (default)
LOW	setup.py	101	# disables distributed MPI backend build
LOW	setup.py	121	# This option can be used if AVX512 doesn't perform well on a machine.
LOW	setup.py	141	# specify which AMD GPU targets to build for.
LOW	setup.py	161	# layer normalization. Default: enabled.
LOW	setup.py	181	# Specify a NVCC to use. This is used in our CI to point to a cached nvcc
LOW	setup.py	201	# LIBRARY_PATH
LOW	setup.py	221	# USE_SYSTEM_PSIMD=ON
LOW	tools/git_add_generated_dirs.sh	1	#!/bin/sh
LOW	tools/git_reset_generated_dirs.sh	1	#!/bin/sh
LOW	tools/iwyu/run.sh	1	# Run include-what-you-use on a file or folder
LOW	tools/test/test_stable_shim_usage_linter.py	141	shim_functions = get_shim_functions([sample_shim])
LOW	tools/test/stable_shim_usage_linter_data/sample_shim.h	1	#ifndef SAMPLE_SHIM_H
LOW	tools/test/stable_shim_usage_linter_data/sample_shim.h	21	AOTI_TORCH_EXPORT void old_function_2(void* ptr);
LOW	tools/test/stable_shim_usage_linter_data/sample_shim.h	41	AOTI_TORCH_EXPORT int legacy_fallback(int arg);
LOW	tools/test/stable_shim_usage_linter_data/sample_shim.h	101
LOW	tools/linter/adapters/flake8_linter.py	1	# /// script
LOW	tools/linter/adapters/flake8_linter.py	201	# "B901": `return x` inside a generator
LOW	tools/linter/adapters/pyproject_linter.py	161	return [
LOW	tools/linter/adapters/pyproject_linter.py	181	# }
LOW	tools/linter/adapters/ruff_linter.py	161
LOW	tools/linter/adapters/pyrefly_linter.py	1	# /// script
LOW	tools/autograd/load_derivatives.py	341	"forward definition of gradient as element_wise but it does not "
LOW	tools/autograd/load_derivatives.py	561	r.name for r in f.func.returns
LOW	tools/autograd/gen_python_functions.py	1	# Generates Python bindings for ATen functions
LOW	tools/autograd/gen_python_functions.py	21	#
LOW	tools/autograd/gen_python_functions.py	1181	return sort_overloads(grouped, symint=symint)
LOW	tools/autograd/gen_python_functions.py	1201	# If they have different number of parameters then they are not ambiguous - but
LOW	tools/autograd/gen_autograd_functions.py	81	void will_release_variables() override {
LOW	tools/autograd/gen_variable_type.py	1	# Generates VariableType.h/cpp
LOW	tools/autograd/gen_variable_type.py	421	# We check the following properties:
LOW	tools/autograd/gen_variable_type.py	1241	# NOTE(crcrpar): in-place foreach functions' arguments include tensorlist
LOW	tools/autograd/gen_trace_type.py	241	# This replacement implemented in-place with minimum modifications of
LOW	tools/autograd/derivatives.yaml	1	# Defines derivative formulas and Python signatures of methods on Variable
LOW	tools/autograd/derivatives.yaml	21	# of how to register separate derivates for different dispatch keys).
LOW	tools/autograd/derivatives.yaml	41	# - If that argument is differentiable, in the sense that a gradient with respect
LOW	tools/autograd/derivatives.yaml	61	# are in scope:
LOW	tools/autograd/derivatives.yaml	81	#
LOW	tools/autograd/derivatives.yaml	101	# (NB: if your function computes gradient for a list of tensors,
LOW	tools/autograd/derivatives.yaml	121	# Another interpretation of this expression would read as `var_0` is needed
LOW	tools/autograd/derivatives.yaml	141	#
LOW	tools/autograd/derivatives.yaml	161	# (implemented using zeros_like). These gradients are (hopefully) not
LOW	tools/autograd/derivatives.yaml	181	# according to these three cases:
LOW	tools/autograd/derivatives.yaml	201	# It is an efficient way to represent a Tensor filled with zeros because
LOW	tools/autograd/derivatives.yaml	1161	- name: nanmedian(Tensor self) -> Tensor
LOW	tools/autograd/derivatives.yaml	1821	# See [Note: Sometimes view derivatives]
LOW	tools/autograd/derivatives.yaml	1841	# DO NOT define a backward for to_sparse_csr
LOW	tools/autograd/derivatives.yaml	2541	#
LOW	tools/autograd/templates/python_nn_functions.cpp	1	#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
LOW	tools/autograd/templates/python_functions.cpp	1	#include <torch/csrc/autograd/generated/python_functions.h>
LOW	tools/autograd/templates/python_fft_functions.cpp	1	#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
LOW	tools/autograd/templates/python_sparse_functions.cpp	1	#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
LOW	tools/autograd/templates/python_linalg_functions.cpp	1	#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
LOW	tools/autograd/templates/ADInplaceOrViewType.cpp	1	#define TORCH_ASSERT_ONLY_METHOD_OPERATORS
5201 more matches not shown…

Unused Imports4758 hits · 4162 pts

Severity	File	Line
LOW	setup.py	245
LOW	tools/extract_scripts.py	3
LOW	tools/nvcc_fix_deps.py	16
LOW	tools/gen_vulkan_spv.py	3
LOW	tools/embed_libomp_macos.py	16
LOW	tools/render_junit.py	3
LOW	tools/strtobool.py	3
LOW	tools/generate_torch_version.py	1
LOW	tools/build_with_debinfo.py	8
LOW	tools/build_pytorch_libs.py	1
LOW	tools/nightly.py	49
LOW	tools/experimental/torchfuzz/__init__.py	4
LOW	tools/experimental/torchfuzz/__init__.py	4
LOW	tools/experimental/torchfuzz/__init__.py	4
LOW	tools/experimental/torchfuzz/__init__.py	4
LOW	tools/experimental/torchfuzz/__init__.py	4
LOW	tools/experimental/torchfuzz/__init__.py	4
LOW	tools/experimental/torchfuzz/__init__.py	12
LOW	tools/experimental/torchfuzz/__init__.py	12
LOW	tools/experimental/torchfuzz/__init__.py	12
LOW	tools/experimental/torchfuzz/__init__.py	13
LOW	tools/experimental/torchfuzz/__init__.py	13
LOW	tools/experimental/torchfuzz/__init__.py	13
LOW	tools/experimental/torchfuzz/__init__.py	14
LOW	tools/experimental/torchfuzz/__init__.py	14
LOW	tools/experimental/torchfuzz/__init__.py	14
LOW	tools/experimental/torchfuzz/operators/__init__.py	3
LOW	tools/experimental/torchfuzz/operators/__init__.py	4
LOW	tools/experimental/torchfuzz/operators/__init__.py	5
LOW	tools/experimental/torchfuzz/operators/__init__.py	6
LOW	tools/experimental/torchfuzz/operators/__init__.py	7
LOW	tools/experimental/torchfuzz/operators/__init__.py	8
LOW	tools/experimental/torchfuzz/operators/__init__.py	9
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	10
LOW	tools/experimental/torchfuzz/operators/__init__.py	20
LOW	tools/experimental/torchfuzz/operators/__init__.py	20
LOW	tools/experimental/torchfuzz/operators/__init__.py	20
LOW	tools/experimental/torchfuzz/operators/__init__.py	20
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	26
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
LOW	tools/experimental/torchfuzz/operators/__init__.py	36
4698 more matches not shown…

Deep Nesting3741 hits · 2858 pts

Severity	File	Line
LOW	setup.py	508
LOW	setup.py	652
LOW	.spin/cmds.py	106
LOW	.spin/cmds.py	306
LOW	tools/extract_scripts.py	52
LOW	tools/clean.py	7
LOW	tools/gen_vulkan_spv.py	315
LOW	tools/gen_vulkan_spv.py	376
LOW	tools/stale_issues.py	11
LOW	tools/stale_issues.py	82
LOW	tools/embed_libomp_macos.py	28
LOW	tools/render_junit.py	62
LOW	tools/generate_torch_version.py	51
LOW	tools/download_mnist.py	32
LOW	tools/create_worktree.py	187
LOW	tools/nightly.py	891
LOW	tools/nightly.py	1160
LOW	tools/nightly.py	320
LOW	tools/experimental/torchfuzz/test_determinism.py	71
LOW	tools/experimental/torchfuzz/ops_fuzzer.py	254
LOW	tools/experimental/torchfuzz/visualize_graph.py	41
LOW	tools/experimental/torchfuzz/visualize_graph.py	159
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	83
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	209
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	505
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	99
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	213
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	320
LOW	tools/experimental/torchfuzz/tensor_fuzzer.py	479
LOW	tools/experimental/torchfuzz/fuzzer.py	56
LOW	tools/experimental/torchfuzz/fuzzer.py	244
LOW	tools/experimental/torchfuzz/codegen.py	514
LOW	tools/experimental/torchfuzz/codegen.py	194
LOW	tools/experimental/torchfuzz/operators/layout.py	192
LOW	tools/experimental/torchfuzz/operators/constant.py	46
LOW	tools/experimental/torchfuzz/cuda/_codegen.py	159
LOW	tools/experimental/torchfuzz/cuda/_codegen.py	398
LOW	tools/experimental/torchfuzz/cuda/_codegen.py	581
LOW	tools/test/test_gen_backend_stubs.py	27
LOW	tools/test/test_cmake.py	22
LOW	tools/test/heuristics/test_interface.py	413
LOW	tools/test/heuristics/test_interface.py	437
LOW	tools/linter/adapters/stable_shim_usage_linter.py	34
LOW	tools/linter/adapters/stable_shim_usage_linter.py	135
LOW	tools/linter/adapters/pyfmt_linter.py	142
LOW	tools/linter/adapters/generated_shims_version_linter.py	166
LOW	tools/linter/adapters/no_workflows_on_fork.py	90
LOW	tools/linter/adapters/no_merge_conflict_csv_linter.py	62
LOW	tools/linter/adapters/stable_shim_version_linter.py	34
LOW	tools/linter/adapters/stable_shim_version_linter.py	125
LOW	tools/linter/adapters/stable_shim_version_linter.py	49
LOW	tools/linter/adapters/test_device_bias_linter.py	45
LOW	tools/linter/adapters/test_device_bias_linter.py	46
LOW	tools/linter/adapters/test_device_bias_linter.py	170
LOW	tools/linter/adapters/_stable_shim_utils.py	305
LOW	tools/linter/adapters/header_only_linter.py	45
LOW	tools/linter/adapters/clangformat_linter.py	165
LOW	tools/linter/adapters/docstring_linter.py	195
LOW	tools/linter/adapters/docstring_linter.py	172
LOW	tools/linter/adapters/pyproject_linter.py	215
3681 more matches not shown…

Cross-Language Confusion487 hits · 2450 pts

Severity	File	Line	Snippet
HIGH	tools/linter/adapters/lintrunner_version_linter.py	57	description="Lintrunner is not installed, did you forget to run `make setup-lint && make lint`?",
HIGH	.ci/lumen_cli/tests/test_run_plan.py	99	"export A=x && pytest -q",
HIGH	.ci/lumen_cli/tests/test_run_plan.py	100	"export B=y && pytest -q tests/unit",
HIGH	test/test_datapipe.py	565	self.assertTrue(df.equals(cdf))
HIGH	test/test_schema_check.py	459	# Empty containers return false
HIGH	test/test_jit.py	6521	# 1. nan == nan should return true
HIGH	test/test_pytree.py	1271	'"children_spec": [{"type": null, "context": null, '
HIGH	test/test_pytree.py	1272	'"children_spec": []}, {"type": null, "context": null, '
HIGH	test/test_pytree.py	1273	'"children_spec": []}]}, {"type": null, "context": null, '
HIGH	test/test_pytree.py	1275	'"[4, 5, 6]", "children_spec": [{"type": null, "context": null, '
HIGH	test/test_pytree.py	1276	'"children_spec": []}, {"type": null, "context": null, "children_spec": '
HIGH	test/test_pytree.py	1277	'[]}, {"type": null, "context": null, "children_spec": []}]}]}]'
HIGH	test/test_cuda.py	9562	if (row < M && col < N) {
HIGH	test/test_opaque_obj_v2.py	466	queue.push(b)
HIGH	test/test_meta.py	1263	with MetaCrossRefDispatchMode.push(
HIGH	test/inductor/test_torchbind.py	122	q.push(torch.ones(2, 3))
HIGH	test/inductor/test_torchbind.py	350	self.tq.push(x.cos())
HIGH	test/inductor/test_torchbind.py	351	self.tq.push(x.sin())
HIGH	test/nn/test_pooling.py	817	"MaxUnpool2d": r"Assertion `maxind >= 0 && maxind < outputImageSize` failed",
HIGH	test/nn/test_pooling.py	818	"MaxUnpool3d": r"Assertion `index >= 0 && index < outputImageSize` failed",
HIGH	test/nn/test_embedding.py	1086	msg = "Expected idx >= 0 && idx < num_embeddings"
HIGH	test/distributed/test_distributed_spawn.py	42	f"e.g.\ntouch /tmp/barrier && TEMP_DIR=/tmp BACKEND='nccl' WORLD_SIZE=2 python {__file__}",
HIGH	test/fx/test_fx_split.py	211	# pyre-fixme[61]: `name` is undefined, or not always defined.
HIGH	test/quantization/eager/test_equalize_eager.py	56	identical modules should return true
HIGH	test/quantization/eager/test_equalize_eager.py	57	modules with high difference in weights should return false
HIGH	test/cpython/v3_13/test_contextlib.py	812	stack.push(_expect_ok)
HIGH	test/cpython/v3_13/test_contextlib.py	815	stack.push(cm)
HIGH	test/cpython/v3_13/test_contextlib.py	817	stack.push(_suppress_exc)
HIGH	test/cpython/v3_13/test_contextlib.py	820	stack.push(cm)
HIGH	test/cpython/v3_13/test_contextlib.py	822	stack.push(_expect_exc)
HIGH	test/cpython/v3_13/test_contextlib.py	824	stack.push(_expect_exc)
HIGH	test/cpython/v3_13/test_contextlib.py	893	stack.push(lambda *exc: False)
HIGH	test/cpython/v3_13/test_contextlib.py	898	stack.push(lambda *exc: True)
HIGH	test/cpython/v3_13/test_contextlib.py	1066	stack.push(suppress_exc)
HIGH	test/cpython/v3_13/test_contextlib.py	1137	stack.push(suppress_exc)
HIGH	test/cpython/v3_13/test_contextlib.py	1144	stack.push(lambda *exc: True)
HIGH	test/cpython/v3_13/test_contextlib.py	1145	stack.push(lambda *exc: 1/0)
HIGH	test/cpython/v3_13/test_contextlib.py	1146	stack.push(lambda *exc: {}[1])
HIGH	test/cpython/v3_13/test_contextlib.py	997	stack.push(suppress_exc)
HIGH	test/cpython/v3_13/test_contextlib.py	1163	stack.push(cm)
HIGH	test/jit/test_torchbind.py	98	stackstring.push("lel")
HIGH	test/jit/test_torchbind.py	61	ss1.push(ss2.pop())
HIGH	test/lazy/test_functionalization.py	98	%1 = [BFloat16[3]] aten::_to_copy(%0), dtype=BFloat16, layout=null, device=null, pin_memory=null, non_blocking=0, memo
HIGH	test/export/test_torchbind.py	1106	tq.push(torch.zeros(2, 2))
HIGH	test/export/test_torchbind.py	1107	tq.push(torch.ones(2, 2))
HIGH	test/export/test_torchbind.py	1109	tq.push(torch.ones(2, 2) * 2)
HIGH	test/export/test_torchbind.py	1175	tq.push(x.cos())
HIGH	test/export/test_torchbind.py	1176	tq.push(x.sin())
HIGH	test/export/test_torchbind.py	1236	tq.push(x.cos())
HIGH	test/export/test_torchbind.py	1237	tq.push(x.sin())
HIGH	test/export/test_torchbind.py	1251	tq2.push(torch.randn(4, 5, requires_grad=False))
HIGH	test/export/test_torchbind.py	1257	tq3.push(torch.randn(2, 3, requires_grad=False))
HIGH	test/export/test_torchbind.py	1263	tq4.push(torch.randn(2, 3, requires_grad=False))
HIGH	test/export/test_torchbind.py	1269	tq5.push(torch.randn(2, 3, requires_grad=True))
HIGH	test/export/test_torchbind.py	1275	tq6.push(torch.randn(2, 3, requires_grad=True, dtype=torch.float64))
HIGH	test/export/test_torchbind.py	1287	tq.push(x.cos())
HIGH	test/export/test_torchbind.py	1288	tq.push(x.sin())
HIGH	test/export/test_torchbind.py	1297	tq1.push(torch.randn(2, 3, requires_grad=False))
HIGH	test/export/test_torchbind.py	1303	tq2.push(torch.randn(2, 4, requires_grad=False))
HIGH	test/export/test_torchbind.py	1308	tq3.push(torch.randn(2, 5, requires_grad=False))
427 more matches not shown…

Decorative Section Separators695 hits · 2112 pts

Severity	File	Line	Snippet
MEDIUM	tools/experimental/torchfuzz/codegen.py	290	# ---------------------------------------------------------------------------
MEDIUM	tools/experimental/torchfuzz/codegen.py	292	# ---------------------------------------------------------------------------
MEDIUM	tools/code_analyzer/gen_operators_yaml.py	28	# ------------------------------------------------------------------------------
MEDIUM	tools/code_analyzer/gen_operators_yaml.py	34	# ------------------------
MEDIUM	tools/code_analyzer/gen_operators_yaml.py	64	# -----------------------------------------------
MEDIUM	.ci/docker/common/install_openmpi.sh	5	# --------------------------------------------------------------------------
MEDIUM	.ci/docker/common/install_rocm.sh	151	# =========================================================================
MEDIUM	.ci/docker/common/install_rocm.sh	153	# =========================================================================
MEDIUM	test/test_dynamic_shapes.py	1210	# ------------------------------------------------------------------
MEDIUM	test/test_dynamic_shapes.py	1215	# ------------------------------------------------------------------
MEDIUM	test/test_dynamic_shapes.py	1225	# ------------------------------------------------------------------
MEDIUM	test/test_dynamic_shapes.py	1232	# ------------------------------------------------------------------
MEDIUM	test/test_custom_ops.py	5467	# =========================================================
MEDIUM	test/test_custom_ops.py	5469	# =========================================================
MEDIUM	test/test_custom_ops.py	5479	# =========================================================
MEDIUM	test/test_custom_ops.py	5481	# =========================================================
MEDIUM	test/test_custom_ops.py	5516	# =========================================================
MEDIUM	test/test_custom_ops.py	5518	# =========================================================
MEDIUM	test/test_custom_ops.py	5501	# =========================================================
MEDIUM	test/test_custom_ops.py	5503	# =========================================================
MEDIUM	test/test_scatter_gather_ops.py	535	# ---------------------------------------------------------------------------
MEDIUM	test/test_scatter_gather_ops.py	543	# ---------------------------------------------------------------------------
MEDIUM	test/test_sympy_utils.py	919	# =====================================
MEDIUM	test/test_sympy_utils.py	925	# =====================================
MEDIUM	test/test_sympy_utils.py	939	# =====================================
MEDIUM	test/inductor/test_dropout_align_random_eager.py	21	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	23	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	32	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	34	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	129	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	131	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	245	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	247	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	274	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	276	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	305	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	307	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	330	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	332	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	375	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	377	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	411	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	413	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	444	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	446	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	75	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	77	# ───────────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	351	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	353	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	467	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_dropout_align_random_eager.py	471	# ───────────────────────────────────────────────────────────
MEDIUM	test/inductor/test_user_streams.py	1619	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1623	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1838	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1842	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1646	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1649	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1680	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1683	# ------------------------------------------------------------------
MEDIUM	test/inductor/test_user_streams.py	1729	# ------------------------------------------------------------------
635 more matches not shown…

Cross-File Repetition390 hits · 1950 pts

Severity	File	Line	Snippet
HIGH	tools/linter/adapters/clangtidy_linter.py	0	(?mx) ^ (?p<file>.?): (?p<line>\d+): (?:(?p<column>-?\d+):)? \s(?p<severity>\s+?):? \s(?p<message>.) \s(?p<code>\[.*\]
HIGH	tools/linter/adapters/mypy_linter.py	0	(?mx) ^ (?p<file>.?): (?p<line>\d+): (?:(?p<column>-?\d+):)? \s(?p<severity>\s+?):? \s(?p<message>.) \s(?p<code>\[.*\]
HIGH	tools/linter/adapters/pyrefly_linter.py	0	(?mx) ^ (?p<file>.?): (?p<line>\d+): (?:(?p<column>-?\d+):)? \s(?p<severity>\s+?):? \s(?p<message>.) \s(?p<code>\[.*\]
HIGH	test/test_dispatch.py	0	name multiple times. each overload's schema should only be registered with a single call to def().
HIGH	test/test_dispatch.py	0	name multiple times. each overload's schema should only be registered with a single call to def().
HIGH	test/test_dispatch.py	0	name multiple times. each overload's schema should only be registered with a single call to def().
HIGH	test/test_dispatch.py	0	duplicate registration: registered at /dev/null:0. original registration: registered at /dev/null:0
HIGH	test/test_dispatch.py	0	duplicate registration: registered at /dev/null:0. original registration: registered at /dev/null:0
HIGH	test/test_dispatch.py	0	duplicate registration: registered at /dev/null:0. original registration: registered at /dev/null:0
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_functionalization.py	0	\ def forward(self, arg0_1): zeros = torch.ops.aten.zeros.default([2, 2], device = device(type='cpu'), pin_memory = fals
HIGH	test/test_weak.py	0	return a mapping object with the value contained in data dictionary
HIGH	test/test_weak.py	0	return a mapping object with the value contained in data dictionary
HIGH	test/cpython/v3_13/mapping_tests.py	0	return a mapping object with the value contained in data dictionary
HIGH	test/test_transformers.py	0	clones the query, key, and value tensors and moves them to the specified dtype.
HIGH	test/inductor/test_flex_attention.py	0	clones the query, key, and value tensors and moves them to the specified dtype.
HIGH	test/inductor/test_flex_decoding.py	0	clones the query, key, and value tensors and moves them to the specified dtype.
HIGH	benchmarks/transformer/score_mod.py	0	clones the query, key, and value tensors and moves them to the specified dtype.
HIGH	test/test_cpp_extensions_jit.py	0	torch::tensor tanh_add(torch::tensor x, torch::tensor y) { return x.tanh() + y.tanh(); }
HIGH	test/test_cpp_extensions_jit.py	0	torch::tensor tanh_add(torch::tensor x, torch::tensor y) { return x.tanh() + y.tanh(); }
HIGH	test/test_cpp_extensions_jit.py	0	torch::tensor tanh_add(torch::tensor x, torch::tensor y) { return x.tanh() + y.tanh(); }
HIGH	test/test_fx.py	0	def forward(self, args_list: list[torch.tensor]){maybe_return_annotation}: {', '.join(free_vars)} = args_list
HIGH	test/test_fx.py	0	def forward(self, args_list: list[torch.tensor]){maybe_return_annotation}: {', '.join(free_vars)} = args_list
HIGH	test/test_fx.py	0	def forward(self, args_list: list[torch.tensor]){maybe_return_annotation}: {', '.join(free_vars)} = args_list
HIGH	test/inductor/test_graph_transform_observer.py	0	input tensors assumed to have shape (batch_size, n_head, seq_len, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, n_head, seq_len, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, n_head, seq_len, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, n_head, seq_len, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, n_head, seq_len, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_fused_attention.py	0	input tensors assumed to have shape (batch_size, seq_len, n_head, embed_dim)
HIGH	test/inductor/test_max_autotune.py	0	make sure autotuning mm in sub processes work without crashes.
HIGH	test/inductor/test_cutlass_backend.py	0	make sure autotuning mm in sub processes work without crashes.
HIGH	test/inductor/test_cutlass_backend.py	0	make sure autotuning mm in sub processes work without crashes.
HIGH	test/inductor/test_cutlass_backend.py	0	make sure autotuning mm in sub processes work without crashes.
HIGH	test/inductor/test_b2b_gemm.py	0	compare torch.compile(f, b2b_gemm = off) with torch.compile(f, b2b_gemm = on)
HIGH	test/inductor/test_b2b_gemm.py	0	compare torch.compile(f, b2b_gemm = off) with torch.compile(f, b2b_gemm = on)
HIGH	test/inductor/test_b2b_gemm.py	0	compare torch.compile(f, b2b_gemm = off) with torch.compile(f, b2b_gemm = on)
HIGH	test/inductor/test_codecache.py	0	verify that we can populate and hot load functions from the cache.
HIGH	test/inductor/test_codecache.py	0	verify that we can populate and hot load functions from the cache.
HIGH	test/dynamo/test_aot_autograd_cache.py	0	verify that we can populate and hot load functions from the cache.
HIGH	test/dynamo/test_aot_autograd_cache.py	0	verify that we can populate and hot load functions from the cache.
HIGH	…ension/torch_openreg/torch_openreg/openreg/__init__.py	0	context-manager that changes the selected device. args: device (torch.device or int): device index to select. it's a no-
HIGH	torch/cuda/__init__.py	0	context-manager that changes the selected device. args: device (torch.device or int): device index to select. it's a no-
HIGH	torch/mtia/__init__.py	0	context-manager that changes the selected device. args: device (torch.device or int): device index to select. it's a no-
HIGH	test/nn/test_parametrization.py	0	test that all parametrizations and their associated parameters are transferred.
330 more matches not shown…

Self-Referential Comments660 hits · 1900 pts

Severity	File	Line	Snippet
MEDIUM	setup.py	516	# Create a temporary directory for downloading
MEDIUM	setup.py	662	# Create a temporary directory for downloading
MEDIUM	tools/update_masked_docs.py	30	# This file is generated, do not modify it!
MEDIUM	tools/experimental/torchfuzz/ops_fuzzer.py	472	# Create the operation node
MEDIUM	tools/experimental/torchfuzz/multi_process_fuzzer.py	22	# Create a mock tqdm class for type safety
MEDIUM	tools/experimental/torchfuzz/tensor_fuzzer.py	251	# Create a valid permutation that's still dense
MEDIUM	tools/experimental/torchfuzz/tensor_fuzzer.py	344	# Create a local Random instance to avoid interfering with global state
MEDIUM	tools/experimental/torchfuzz/tensor_fuzzer.py	494	# Create a local random instance to avoid interfering with global state
MEDIUM	tools/experimental/torchfuzz/tensor_fuzzer.py	502	# Create a scalar value based on dtype
MEDIUM	tools/experimental/torchfuzz/tensor_fuzzer.py	522	# Create a scalar value based on dtype
MEDIUM	tools/experimental/torchfuzz/fuzzer.py	104	# Create a unique folder for this iteration
MEDIUM	tools/experimental/torchfuzz/operators/item.py	27	# Create a tensor spec that can produce a scalar via .item()
MEDIUM	tools/test/test_gb_registry_linter.py	438	# Create a callsite with one of the duplicate types
MEDIUM	tools/test/heuristics/test_interface.py	29	# Create a dummy heuristic class
MEDIUM	tools/linter/adapters/stable_shim_usage_linter.py	124	"# This file is automatically updated by the stable_shim_usage_linter.\n"
MEDIUM	tools/linter/adapters/s3_init.py	122	# Create the output folder
MEDIUM	tools/autograd/gen_variable_type.py	431	# The following code templates implement the checks for this invariant:
MEDIUM	tools/autograd/derivatives.yaml	1487	# Defining a backward will make codegen spit out the forward call as
MEDIUM	tools/setup_helpers/gen_version_header.py	59	# Create the output dir if it doesn't exist.
MEDIUM	.ci/lumen_cli/tests/test_utils.py	26	# Create a temporary directory for the test to run in
MEDIUM	.ci/lumen_cli/cli/lib/core/vllm/vllm_test_library.yaml	2	# This file defines the test plans for vllm CI development
MEDIUM	.ci/libtorch/extract_libtorch_from_wheel.py	326	# Create the zip
MEDIUM	.ci/wheel/build_wheel.sh	86	# Create an isolated directory to store this builds pytorch checkout and conda
MEDIUM	.ci/wheel/build_wheel.sh	103	# Create a consistent wheel package name to rename the wheel to
MEDIUM	test/test_python_dispatch.py	680	# Create a fragment
MEDIUM	test/test_functionalization.py	1824	# Create a view of x
MEDIUM	test/test_hub.py	316	# Create an entry with malicious path
MEDIUM	test/test_hub.py	322	# Create a single entry with malicious path for legacy format
MEDIUM	test/test_hub.py	390	# Create a legacy-style malicious zip (single entry with traversal)
MEDIUM	test/test_hub.py	412	# Create a zip that looks like a GitHub repository but has malicious content
MEDIUM	test/test_torch.py	3449	# Create the 4 possible combinations of scalar sizes for source / index
MEDIUM	test/test_torch.py	3498	# Create the 8 possible combinations of scalar sizes for target / index / source
MEDIUM	test/test_torch.py	8607	# This method is primarily exposed for torchvision's resize
MEDIUM	test/test_torch.py	10909	# The following block extends TestTorch with negative dim wrapping tests
MEDIUM	test/test_dynamic_shapes.py	6326	# Create a backed symbol
MEDIUM	test/test_dynamic_shapes.py	6331	# Create an unbacked symbol
MEDIUM	test/test_dynamic_shapes.py	3839	# Create a symint during fake tensor tracing
MEDIUM	test/test_dynamic_shapes.py	4906	# Create a scalar tensor to scatter into the selected index
MEDIUM	test/test_dynamic_shapes.py	5906	# Create a tensor with shape [..., 2] where batch dim is unbacked
MEDIUM	test/test_dynamic_shapes.py	6272	# Create a derived expression: u0 // 2
MEDIUM	test/test_optim.py	2067	# Create a random 2D tensor for compatibility with Muon.
MEDIUM	test/test_nn.py	9428	# Create an appropriately-sized input with a single spatial element.
MEDIUM	test/test_subclass.py	231	# Define a subclass that does not rewrap for any function in its __torch_dispatch__ impl.
MEDIUM	test/test_indexing.py	1952	# Create the 8 possible combinations of scalar sizes for target / index / source
MEDIUM	test/test_indexing.py	2289	# Create the 4 possible combinations of scalar sizes for index / source
MEDIUM	test/test_custom_ops.py	1178	# Define a named tuple for a Point with x and y coordinates
MEDIUM	test/test_cuda.py	4723	# Create a pipe to communicate between parent and child processes
MEDIUM	test/test_cuda.py	2675	# Define a function to create generator states, with optional graph registration
MEDIUM	test/test_cuda.py	2694	# Define a function to perform specific RNG actions using the generator's states
MEDIUM	test/test_cuda.py	2711	# Define a function to retrieve the final offsets of the original and new generator states
MEDIUM	test/test_cuda.py	5156	# Create a simple model with a backward pass
MEDIUM	test/test_cuda.py	5345	# Create an instance of the model
MEDIUM	test/test_cuda.py	5350	# Create a sample input tensor
MEDIUM	test/test_cuda.py	2398	# This function is intended to test the lazy creation and reuse of per-thread
MEDIUM	test/test_cuda.py	9628	# Define a simple vector addition kernel
MEDIUM	test/test_opaque_obj_v2.py	95	# Create a class with an unsupported descriptor
MEDIUM	test/test_opaque_obj_v2.py	214	# Create a new counter to match device mesh's __getitem__
MEDIUM	test/test_dlpack.py	416	# Create a new tensor, and wrap it using TensorDLPackWrapper.
MEDIUM	test/test_dlpack.py	419	# Create a new tensor from the wrapper.
MEDIUM	test/test_dlpack.py	117	# Create a stream where the tensor will reside
600 more matches not shown…

Excessive Try-Catch Wrapping1272 hits · 1310 pts

Severity	File	Line	Snippet
LOW	setup.py	697	except Exception:
LOW	setup.py	705	except Exception:
LOW	tools/render_junit.py	33	except Exception as err:
MEDIUM	tools/nightly_hotpatch.py	94	print("Error: PyTorch is not installed in the current Python environment.")
LOW	tools/nightly_hotpatch.py	130	except Exception as e:
MEDIUM	tools/nightly_hotpatch.py	131	print(f"An error occurred while downloading the patch: {e}")
MEDIUM	tools/nightly_hotpatch.py	178	print("Error: The 'patch' utility is not installed or not found in PATH.")
LOW	tools/nightly_hotpatch.py	180	except Exception as e:
MEDIUM	tools/nightly_hotpatch.py	181	print(f"An error occurred while applying the patch: {e}")
LOW	tools/generate_torch_version.py	30	except Exception:
LOW	tools/generate_torch_version.py	47	except Exception:
LOW	tools/nightly.py	721	except Exception as e:
LOW	tools/nightly.py	945	except Exception:
LOW	tools/experimental/torchfuzz/ops_fuzzer.py	238	except Exception:
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	175	except Exception as e:
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	351	except Exception as e:
LOW	tools/experimental/torchfuzz/fuzzer.py	232	except Exception as e:
MEDIUM	tools/experimental/torchfuzz/fuzzer.py	240	print(f"Error: {error_message}")
LOW	tools/experimental/torchfuzz/fuzzer.py	375	except Exception as e:
LOW	tools/experimental/torchfuzz/fuzzer.py	413	except Exception as e:
LOW	tools/test/gen_operators_yaml_test.py	141	except Exception:
LOW	tools/linter/adapters/gha_linter.py	61	except Exception as err:
LOW	tools/linter/adapters/actionlint_linter.py	168	except Exception:
LOW	tools/linter/adapters/grep_linter.py	136	except Exception as err:
LOW	tools/linter/adapters/grep_linter.py	216	except Exception as err:
LOW	tools/linter/adapters/grep_linter.py	397	except Exception as err:
LOW	tools/linter/adapters/cmake_linter.py	144	except Exception:
LOW	tools/linter/adapters/pyfmt_linter.py	138	except Exception as err:
LOW	tools/linter/adapters/pyfmt_linter.py	177	except Exception:
LOW	tools/linter/adapters/no_workflows_on_fork.py	242	except Exception:
LOW	tools/linter/adapters/no_merge_conflict_csv_linter.py	97	except Exception:
LOW	tools/linter/adapters/stable_shim_version_linter.py	117	except Exception as e:
LOW	tools/linter/adapters/nativefunctions_linter.py	75	except Exception as err:
LOW	tools/linter/adapters/clangformat_linter.py	240	except Exception:
LOW	tools/linter/adapters/docstring_linter.py	92	except Exception as e:
MEDIUM	tools/linter/adapters/docstring_linter.py	86	def _grandfather(self) -> dict[str, dict[str, Any]]:
LOW	tools/linter/adapters/pyproject_linter.py	250	except Exception:
LOW	tools/linter/adapters/clangtidy_linter.py	314	except Exception:
LOW	tools/linter/adapters/cmake_minimum_required_linter.py	186	except Exception:
LOW	tools/linter/adapters/cmake_minimum_required_linter.py	246	except Exception:
LOW	tools/linter/adapters/ruff_linter.py	463	except Exception: # Catch all exceptions for lintrunner
LOW	tools/linter/adapters/newlines_linter.py	96	except Exception as err:
LOW	tools/linter/adapters/newlines_linter.py	135	except Exception as err:
LOW	tools/linter/adapters/codespell_linter.py	132	except Exception as err:
LOW	tools/linter/adapters/codespell_linter.py	159	except Exception as err:
LOW	tools/linter/adapters/codespell_linter.py	200	except Exception:
LOW	tools/dynamo/verify_dynamo.py	187	except Exception:
LOW	tools/testing/upload_artifacts.py	121	except Exception as e:
LOW	tools/testing/upload_artifacts.py	207	except Exception as e:
LOW	tools/testing/upload_artifacts.py	219	except Exception as e:
LOW	tools/testing/target_determination/determinator.py	30	except Exception as e:
MEDIUM	tools/testing/target_determination/determinator.py	31	print(f"Error in {heuristic.__class__.__name__}: {e}", file=file)
LOW	…ing/target_determination/heuristics/mentioned_in_pr.py	33	except Exception as e:
LOW	…ing/target_determination/heuristics/mentioned_in_pr.py	42	except Exception as e:
LOW	…ing/target_determination/heuristics/mentioned_in_pr.py	53	except Exception:
LOW	tools/stats/monitor.py	244	except Exception as e:
LOW	tools/stats/monitor.py	323	except Exception as e:
LOW	tools/stats/monitor.py	472	except Exception as e:
LOW	tools/stats/monitor.py	499	except Exception:
LOW	tools/stats/monitor.py	524	except Exception:
1212 more matches not shown…

Hallucination Indicators129 hits · 1230 pts

Severity	File	Line	Snippet
CRITICAL	tools/autograd/load_derivatives.py	292	is_foreach = f.func.name.name.base.startswith("_foreach_")
CRITICAL	tools/autograd/gen_autograd_functions.py	694	info.func.func.name.name.base.startswith("_foreach") and is_output
CRITICAL	test/test_per_overload_api.py	73	torch.ops.aten.linear.default.decompose(x, y),
CRITICAL	test/inductor/test_gpu_select_algorithm.py	104	w_int8 = torch.ao.quantization.fx._decomposed.quantize_per_channel(
CRITICAL	test/inductor/test_gpu_select_algorithm.py	159	w_int8 = torch.ao.quantization.fx._decomposed.quantize_per_channel(
CRITICAL	test/inductor/test_cpu_select_algorithm.py	1668	w_int8 = torch.ao.quantization.fx._decomposed.quantize_per_channel(
CRITICAL	test/inductor/test_cpu_select_algorithm.py	1736	w_int8 = torch.ao.quantization.fx._decomposed.quantize_per_channel(
CRITICAL	test/onnx/test_pytorch_onnx_onnxruntime.py	12881	model = torch.ao.nn.intrinsic.quantized.ConvReLU1d(16, 33, 3, stride=2)
CRITICAL	test/onnx/test_pytorch_onnx_onnxruntime.py	12895	model = torch.ao.nn.intrinsic.quantized.ConvReLU2d(16, 33, 3, stride=2)
CRITICAL	test/onnx/test_pytorch_onnx_onnxruntime.py	12910	model = torch.ao.nn.intrinsic.quantized.ConvReLU3d(
CRITICAL	test/fx/test_dce_pass.py	232	torch._ops.ops.aten.add_.Tensor(a, 1)
CRITICAL	test/fx/test_dce_pass.py	314	torch._ops.ops.aten.add.out(b, b, out=a, alpha=2)
CRITICAL	test/dynamo/test_reconstruct.py	375	return self.a.b.c.d.e(x)
CRITICAL	test/quantization/core/test_quantized_module.py	1742	cell_dq = torch.ao.nn.quantized.dynamic.LSTM(input_size=input_size,
CRITICAL	test/quantization/core/test_quantized_module.py	1750	ref_dq = torch.ao.nn.quantized.dynamic.LSTM(input_size=input_size,
CRITICAL	test/quantization/core/test_quantized_module.py	1804	cell_dq = torch.ao.nn.quantized.dynamic.GRU(input_size=input_size,
CRITICAL	test/quantization/core/test_quantized_op.py	679	qY = torch.ao.nn.quantized.functional.elu(qX, output_scale, output_zero_point, alpha=alpha)
CRITICAL	test/quantization/core/test_quantized_op.py	1038	qY = torch.ao.nn.quantized.functional.hardswish(
CRITICAL	test/quantization/core/test_quantized_op.py	3056	qY = torch.ao.nn.quantized.functional.hardtanh(qX, -1, 6)
CRITICAL	test/quantization/core/test_quantized_op.py	9137	qY_hat = torch.ao.nn.quantized.functional.hardtanh(qX, min_val, max_val)
CRITICAL	test/quantization/fx/test_quantize_fx.py	4944	return torch.ao.quantization.fx.lstm_utils._get_lstm_with_individually_observed_parts(
CRITICAL	test/quantization/fx/test_quantize_fx.py	4964	return torch.ao.quantization.fx.lstm_utils._get_reference_quantized_lstm_module(
CRITICAL	test/quantization/fx/test_quantize_fx.py	6770	activation=torch.ao.quantization.observer.HistogramObserver.with_args(
CRITICAL	test/quantization/jit/test_quantize_jit.py	3844	eager_model.sub.module.fc1.weight.detach()
CRITICAL	test/quantization/jit/test_quantize_jit.py	3847	eager_model.sub.module.fc1.bias.detach()
CRITICAL	test/quantization/jit/test_quantize_jit.py	3850	eager_model.sub.module.fc2.weight.detach()
CRITICAL	test/quantization/jit/test_quantize_jit.py	3853	eager_model.sub.module.fc2.bias.detach()
CRITICAL	test/quantization/jit/test_quantize_jit.py	3798	eager_model.sub2.fc1.module.weight.detach()
CRITICAL	test/quantization/jit/test_quantize_jit.py	3801	eager_model.sub2.fc1.module.bias.detach()
CRITICAL	test/quantization/eager/test_quantize_eager_ptq.py	1078	original_m.sub.custom.conv.weight.detach()
CRITICAL	test/quantization/eager/test_quantize_eager_ptq.py	1081	original_m.sub.custom.conv.bias.detach()
CRITICAL	test/cpp/jit/test_backend.cpp	49	__torch__.torch.classes.__backends__.test_backend.__new__(__torch__.torch.classes.__backends__.test_backend)
CRITICAL	test/jit/test_class_type.py	556	three = jit._imported_class_test.very.very.nested.FooUniqueName(a)
CRITICAL	test/export/test_torchbind.py	344	torch.ops._TorchScriptTesting.takes_foo.default._dispatch_cache.clear()
CRITICAL	test/export/test_torchbind.py	355	torch.ops._TorchScriptTesting.takes_foo.default.py_impl(
CRITICAL	test/export/test_export.py	12316	x = self.n3.n4.n5.n6.n7.n8(x + 1)
CRITICAL	test/export/test_export.py	12318	self.n3.n4.n5.buf.add_(1)
CRITICAL	test/export/test_export.py	12319	self.n3.n4.n5.n6.buf.add_(1)
CRITICAL	test/export/test_export.py	12320	self.n3.n4.n5.n6.n7.n8.buf.add_(1)
CRITICAL	test/export/test_export.py	12355	x = self.n1.n2.n3.n4.n5.n6.n7(x + 1)
CRITICAL	test/export/test_export.py	12356	self.n1.n2.n3.buf.add_(1)
CRITICAL	test/export/test_export.py	12357	self.n1.n2.n3.n4.n5.n6.buf.add_(1)
CRITICAL	test/export/test_export.py	12358	self.n1.n2.n3.n4.n5.n6.n7.n8.buf.add_(1)
CRITICAL	test/export/test_export.py	12735	x = self.n1.n2.n3.n4.n5(x + 1)
CRITICAL	test/export/test_export.py	12736	x = self.n1.n2.n3.n4.n5.n6(x + 1)
CRITICAL	test/export/test_export.py	12738	self.n1.n2.n3.n4.buf.add_(1)
CRITICAL	test/export/test_export.py	12739	self.n1.n2.n3.n4.n5.buf.add_(1)
CRITICAL	test/export/test_export.py	12740	self.n1.n2.n3.n4.n5.n6.buf.add_(1)
CRITICAL	test/export/test_export.py	12834	x = self.n5.n6.n7.n8.n9(x + 1)
CRITICAL	test/export/test_export.py	12837	self.n5.n6.n7.buf.add_(1)
CRITICAL	test/export/test_export.py	12838	self.n5.n6.n7.n8.buf.add_(1)
CRITICAL	test/export/test_export.py	12855	x = self.n4.n5.n6.n7.n8(x + 1)
CRITICAL	test/export/test_export.py	12856	x = self.n4.n5.n6.n7.n8.n9(x + 1)
CRITICAL	test/export/test_export.py	12857	self.n4.n5.n6.buf.add_(1)
CRITICAL	test/export/test_export.py	12858	self.n4.n5.n6.n7.n8.buf.add_(1)
CRITICAL	test/export/test_export.py	12875	x = self.n3.n4.n5.n6.n7.n8(x + 1)
CRITICAL	test/export/test_export.py	12876	x = self.n3.n4.n5.n6.n7.n8.n9(x + 1)
CRITICAL	test/export/test_export.py	12879	self.n3.n4.n5.buf.add_(1)
CRITICAL	test/export/test_export.py	12880	self.n3.n4.n5.n6.buf.add_(1)
CRITICAL	test/export/test_export.py	12881	self.n3.n4.n5.n6.n7.buf.add_(1)
69 more matches not shown…

Docstring Block Structure200 hits · 988 pts

Severity	File	Line	Snippet
HIGH	test/test_transformers.py	102	Compare test tensor against golden and reference tensors. Golden is the highest precision possible serving as t
HIGH	test/onnx/onnx_test_common.py	163	Run ORT on the given ONNX model and inputs Used in test_fx_to_onnx_with_onnxruntime.py Args: onnx_mode
HIGH	test/onnx/torchlib/ops_test_common.py	327	Run a model with ONNX Runtime in a separate process. Args: serialized_model: Serialized ONNX model proto.
HIGH	.claude/skills/docstring/SKILL.md	295	Sample from the Gumbel-Softmax distribution and optionally discretize. Args: logits (Tensor): `[..., n
HIGH	torch/library.py	1695	Returns the computed kernel for a given operator and dispatch key. This function retrieves the kernel that would be
HIGH	torch/_torch_docs.py	4592	unflatten(input, dim, sizes) -> Tensor Expands a dimension of the input tensor over multiple dimensions. .. seealso::
HIGH	torch/_torch_docs.py	6490	lu_unpack(LU_data, LU_pivots, unpack_data=True, unpack_pivots=True, *, out=None) -> (Tensor, Tensor, Tensor) Unpacks t
HIGH	torch/_torch_docs.py	7461	aminmax(input, *, dim=None, keepdim=False, out=None) -> (Tensor min, Tensor max) Computes the minimum and maximum valu
HIGH	torch/_torch_docs.py	11658	triangular_solve(b, A, upper=True, transpose=False, unitriangular=False, *, out=None) -> (Tensor, Tensor) Solves a sys
HIGH	torch/functional.py	80	broadcast_shapes(*shapes) -> Size Similar to :func:`broadcast_tensors` but for shapes. This is equivalent to
HIGH	torch/functional.py	176	einsum(equation, *operands) -> Tensor Sums the product of the elements of the input :attr:`operands` along dimensio
HIGH	torch/_lobpcg.py	359	Find the k largest (or smallest) eigenvalues and the corresponding eigenvectors of a symmetric positive definite gen
HIGH	torch/serialization.py	714	Restores `storage` using a deserializer function registered for the `location`. This function looks in the reg
HIGH	torch/_functorch/einops.py	16	A native implementation of `einops.rearrange`, a reader-friendly smart element reordering for multidimensional tenso
HIGH	torch/_functorch/_aot_autograd/fx_utils.py	47	Given a joint graph with descriptors (meta['desc'] on placeholders and output), returns the node for every inpu
HIGH	torch/_functorch/_aot_autograd/fx_utils.py	103	Get all output nodes and their corresponding tangent nodes from a joint graph. Similar to get_all_input_and_grad_no
HIGH	torch/_functorch/_aot_autograd/fx_utils.py	231	Get parameter nodes mapped by their fully qualified names. This function traverses the graph to find all parameter
HIGH	torch/_functorch/_aot_autograd/fx_utils.py	259	Get buffer nodes mapped by their fully qualified names. This function traverses the graph to find all buffer input
HIGH	torch/_functorch/_aot_autograd/fx_utils.py	287	Get all parameter nodes from a graph as a list. You can rely on this providing the correct order of parameters you
HIGH	torch/_functorch/_aot_autograd/fx_utils.py	308	Get all buffer nodes from a graph as a list. You can rely on this providing the correct order of buffers you need
HIGH	torch/linalg/__init__.py	97	.. seealso:: :func:`torch.linalg.cholesky_ex` for a version of this operation that skips the (slow) e
HIGH	torch/linalg/__init__.py	243	.. note:: Consider using :func:`torch.linalg.solve` if possible for multiplying a matrix on the left by the in
HIGH	torch/linalg/__init__.py	308	Args: A (Tensor): tensor of shape `(, n, n)` where `` is zero or more batch dimensions. Keyword args: left
HIGH	torch/linalg/__init__.py	426	linalg.slogdet(A, *, out=None) -> (Tensor, Tensor) Computes the sign and natural logarithm of the absolute value of th
HIGH	torch/linalg/__init__.py	504	.. warning:: This function assumes that :attr:`A` is `diagonalizable`_ (for example, when all the eigenva
HIGH	torch/linalg/__init__.py	615	.. seealso:: :func:`torch.linalg.eig` computes the full eigenvalue decomposition. Args: A (Tensor): tens
HIGH	torch/linalg/__init__.py	675	.. note:: The eigenvalues of real symmetric or complex Hermitian matrices are always real. .. warning:: The eigenvect
HIGH	torch/linalg/__init__.py	798	.. seealso:: :func:`torch.linalg.eigh` computes the full eigenvalue decomposition. Args: A (Tensor): ten
HIGH	torch/linalg/__init__.py	838	householder_product(A, tau, *, out=None) -> Tensor Computes the first `n` columns of a product of Householder matrices
HIGH	torch/linalg/__init__.py	939	Args: A (Tensor): tensor of shape `(, n, n)` where `` is zero or more batch dimensions consistin
HIGH	torch/linalg/__init__.py	993	Args: A (Tensor): tensor of shape `(, n, n)` where `` is zero or more batch dimensions consistin
HIGH	torch/linalg/__init__.py	1080	torch.linalg.lstsq(A, B, rcond=None, *, driver=None) -> (Tensor, Tensor, Tensor, Tensor) Computes a solution to the le
HIGH	torch/linalg/__init__.py	1204	matrix_power(A, n, *, out=None) -> Tensor Computes the `n`-th power of a square matrix for an integer `n`. Supports i
HIGH	torch/linalg/__init__.py	1355	linalg.norm(input, ord=None, dim=None, keepdim=False, *, out=None, dtype=None) -> Tensor Computes a vector or matrix n
HIGH	torch/linalg/__init__.py	1494	linalg.vector_norm(x, ord=2, dim=None, keepdim=False, *, dtype=None, out=None) -> Tensor Computes a vector norm. If :
HIGH	torch/linalg/__init__.py	1576	linalg.matrix_norm(A, ord='fro', dim=(-2, -1), keepdim=False, *, dtype=None, out=None) -> Tensor Computes a matrix nor
HIGH	torch/linalg/__init__.py	1741	linalg.svd(A, full_matrices=True, *, driver=None, out=None) -> (Tensor, Tensor, Tensor) Computes the singular value de
HIGH	torch/linalg/__init__.py	1912	.. seealso:: :func:`torch.linalg.svd` computes the full singular value decomposition. Args: A (Tensor):
HIGH	torch/linalg/__init__.py	1945	linalg.cond(A, p=None, *, out=None) -> Tensor Computes the condition number of a matrix with respect to a matrix norm.
HIGH	torch/linalg/__init__.py	2268	.. seealso:: :func:`torch.linalg.solve_triangular` computes the solution of a triangular system of linear
HIGH	torch/linalg/__init__.py	2432	.. warning:: The LU decomposition is almost never unique, as often there are different permutation matrice
HIGH	torch/linalg/__init__.py	2601	lu(A, *, pivot=True, out=None) -> (Tensor, Tensor, Tensor) Computes the LU decomposition with partial pivoting of a ma
HIGH	torch/linalg/__init__.py	2691	linalg.tensorinv(A, ind=2, *, out=None) -> Tensor Computes the multiplicative inverse of :func:`torch.tensordot`. If
HIGH	torch/linalg/__init__.py	2759	linalg.tensorsolve(A, B, dims=None, *, out=None) -> Tensor Computes the solution `X` to the system `torch.tensordot(A,
HIGH	torch/linalg/__init__.py	2825	qr(A, mode='reduced', *, out=None) -> (Tensor, Tensor) Computes the QR decomposition of a matrix. Letting :math:`\mat
HIGH	torch/nn/functional.py	2180	Sample from the Gumbel-Softmax distribution (`Link 1`_ `Link 2`_) and optionally discretize. Args: logi
HIGH	torch/nn/functional.py	6372	Args: query (Tensor): Query tensor; shape :math:`(N, ..., Hq, L, E)`. key (Tensor): Key tensor; sha
HIGH	torch/nn/attention/bias.py	192	Handles the logic for computing attention with the specified causal bias. Args: query (Ten
HIGH	torch/nn/attention/flex_attention.py	985	Creates a BlockMask instance from key-value block information. Args: kv_num_blocks (Tensor
HIGH	torch/nn/parallel/distributed.py	71	Factory method to create a BucketCapacityConfig from user inputs. Args: bucket_cap_mb: Single bucke
HIGH	torch/nn/parallel/distributed.py	133	Compute bucket size limits for initial bucketing and rebuilding. Args: static_graph: Whether the co
HIGH	torch/nn/utils/stateless.py	18	Unties all tied tensors in the module to parameters_and_buffers. This function returns a new untied_parameters
HIGH	torch/nn/utils/parametrize.py	457	Register a parametrization to a tensor in a module. Assume that ``tensor_name="weight"`` for simplicity. When acces
HIGH	torch/nn/utils/parametrize.py	701	Remove the parametrizations on a tensor in a module. - If ``leave_parametrized=True``, ``module[tensor_name]`` will
HIGH	torch/nn/utils/weight_norm.py	85	Apply weight normalization to a parameter in the given module. .. math:: \mathbf{w} = g \dfrac{\mathbf{v}}
HIGH	torch/nn/utils/prune.py	590	Compute and returns a mask for the input tensor ``t``. Starting from a base ``default_mask`` (which should be a
HIGH	torch/nn/utils/prune.py	699	Compute and returns a mask for the input tensor ``t``. Starting from a base ``default_mask`` (which should be a
HIGH	torch/nn/utils/prune.py	837	Apply pruning reparameterization without pruning any units. Applies pruning reparameterization to the tensor corres
HIGH	torch/nn/utils/prune.py	872	Prune tensor by removing random (currently unpruned) units. Prunes tensor corresponding to parameter called ``name`
HIGH	torch/nn/utils/prune.py	909	Prune tensor by removing units with the lowest L1-norm. Prunes tensor corresponding to parameter called ``name`` in
140 more matches not shown…

Redundant / Tautological Comments491 hits · 716 pts

Severity	File	Line	Snippet
LOW	tools/nightly_hotpatch.py	168	# Check if the patch was applied successfully
LOW	tools/packaging/build_wheel.py	85	# Check if it's PyPy (skip it)
LOW	tools/packaging/build_wheel.py	103	# Check if this version is supported
LOW	tools/experimental/torchfuzz/ops_fuzzer.py	71	# Check if the operator supports any of the allowed operations
LOW	tools/experimental/torchfuzz/multi_process_fuzzer.py	159	# Check if output should be ignored and which pattern matched
LOW	tools/experimental/torchfuzz/operators/layout.py	333	# Check if there's at least one singleton dimension
LOW	tools/linter/adapters/grep_linter.py	201	# Check if file is too large to compute replacement
LOW	tools/linter/adapters/stable_shim_version_linter.py	137	# Check if this is the AOTI shim - only enforce versioning on new lines
LOW	tools/linter/adapters/stable_shim_version_linter.py	186	# Check if this is a newly added line
LOW	tools/linter/adapters/_stable_shim_utils.py	319	# Check if we're entering a block comment
LOW	tools/linter/adapters/_stable_shim_utils.py	384	# Check if this #elif has a version condition
LOW	tools/linter/adapters/s3_init.py	42	# Open the file in binary mode and hash it.
LOW	tools/linter/adapters/update_s3.py	25	# Open the file in binary mode and hash it.
LOW	tools/linter/adapters/newlines_linter.py	44	# Check if file is too large
LOW	tools/linter/adapters/codespell_linter.py	98	# Check if file is too large
LOW	tools/amd_build/build_amd.py	150	# Check if the compiler is hip-clang.
LOW	tools/testing/target_determination/heuristics/utils.py	170	# Check if the file extension is in the docs-only set
LOW	…ols/lite_interpreter/gen_selected_mobile_ops_header.py	87	# Write the file selected_mobile_ops.h with optionally:
LOW	…ols/lite_interpreter/gen_selected_mobile_ops_header.py	126	# Write the file selected_mobile_ops.h with optionally:
LOW	tools/stats/import_test_stats.py	57	# Check if the file is new enough (see: FILE_CACHE_LIFESPAN_SECONDS). A real check
LOW	tools/stats/check_disabled_tests.py	77	# Check if the test is a failure
LOW	.ci/docker/common/install_torch_tpu.sh	56	# Check if xtrace (set -x) is enabled
LOW	.ci/pytorch/common_utils.sh	63	# Check if the first argument contains multiple paths separated by spaces
LOW	.ci/pytorch/common_utils.sh	200	# Check if the wheel has been already been built
LOW	.ci/pytorch/build.sh	141	# Set ROCM_ARCH to gfx906 for CI builds, if user doesn't override.
LOW	.ci/pytorch/test.sh	166	# Set OMP_NUM_THREADS to nproc/4 on k8s ARC runners if not already set.
LOW	.ci/pytorch/test.sh	1353	# Check if regression was consistent (majority of runs)
LOW	.ci/pytorch/smoke_test/smoke_test.py	529	# Check if NVSHMEM is compiled in current build
LOW	.ci/pytorch/smoke_test/smoke_test.py	545	# Check if NVSHMEM is available on current system.
LOW	.ci/pytorch/smoke_test/check_binary_symbols.py	417	# Check if the stable C shim exists
LOW	test/test_linalg.py	188	# Set filenames to be unique on a per test basis
LOW	test/test_reductions.py	3659	# Check if reduction happens along the specified dim with and without keepdim. Check with
LOW	test/test_reductions.py	3680	# Check if function raises error on specified zero'd dimension as reduction dim.
LOW	test/test_reductions.py	3718	# Check if function raises error on specified zero'd dimension as reduction dim.
LOW	test/test_reductions.py	3745	# Check if reduction happens along the specified dimension.
LOW	test/test_bundled_images.py	90	# Check if fb::image_decode_to_NCHW works as expected
LOW	test/test_jit.py	12881	# Check if the peak sizes at most differ by an empirically obtained factor
LOW	test/test_view_ops.py	1092	# Check if result is a view of x by comparing data pointers
LOW	test/test_view_ops.py	1094	# Check if ref is a view of x by comparing data pointers
LOW	test/test_custom_ops.py	282	# Check if ret is a tuple and has exactly one and the same element
LOW	test/test_meta.py	417	# Check if it's a view, by testing if any of the returns have
LOW	test/test_fx_experimental.py	920	# Assign ops to different partitions so a single-output submodule exists.
LOW	test/test_modules.py	103	# Check if this module creates parameters or registers buffers.
LOW	test/test_modules.py	114	# Check if a parameter or buffer was created with a tensor not passed to the constructor.
LOW	test/test_modules.py	271	# Check if the inplace variant of the module gives the same result as the out of place
LOW	test/test_transformers.py	2675	# Check if masked rows are zero in output
LOW	test/test_transformers.py	2682	# Check if gradients for masked rows are zero
LOW	test/inductor/test_flex_attention.py	5858	# Check if kernel code contains warp specialization parameters
LOW	test/inductor/test_max_autotune.py	5758	# Set env to make it work in CI.
LOW	test/inductor/test_cutlass_fallback.py	18	# Check if CUTLASS is available
LOW	test/inductor/test_cooperative_reductions.py	130	# Iterate through elements for comparison
LOW	test/inductor/test_max_autotune_blackwell.py	723	# Set env to make it work in CI.
LOW	test/inductor/test_pad_mm.py	634	# Check if any bmm operations had dtype changes
LOW	test/inductor/test_ck_backend.py	503	# Set env to make it work in CI.
LOW	test/inductor/test_subgraph_choice.py	174	# Set env to make it work in CI.
LOW	test/inductor/test_foreach.py	1070	# Set requires_grad to be False to avoid mutating a leaf variable
LOW	test/inductor/test_op_dtype_prop.py	194	# Check if the op's output should be upcasted/downcasted.
LOW	test/inductor/test_aot_inductor_package.py	405	# Check if the .so file was build successfully
LOW	test/inductor/test_aot_inductor_package.py	448	# Check if the .so file was build successfully
LOW	test/inductor/test_aot_inductor_package.py	487	# Check if the .a file was build successfully
431 more matches not shown…

AI Slop Vocabulary293 hits · 560 pts

Severity	File	Line	Snippet
MEDIUM	setup.py	42	# if used in conjunction with DEBUG or REL_WITH_DEB_INFO, will also
LOW	tools/optional_submodules.py	71	# Otherwise just call top-level function of choice
MEDIUM	tools/experimental/torchfuzz/visualize_graph.py	79	# Create comprehensive label
LOW	tools/experimental/torchfuzz/operators/layout.py	69	# For single-dim input, just use the exact element count
LOW	tools/experimental/torchfuzz/operators/layout.py	150	# For single-dim input, just use the exact element count
LOW	tools/linter/adapters/gb_registry_linter.py	210	# Empty registry, just add all entries
MEDIUM	tools/autograd/gen_python_functions.py	596	# find and leverage the original ATen signature (to which it delegates
MEDIUM	tools/autograd/gen_autograd_functions.py	196	# `grads` in order to utilize and apply the existing derivative definitions
MEDIUM	tools/autograd/gen_autograd_functions.py	684	# note(crcrpar): [nuanced return type of out-of-place foreach functions]
MEDIUM	tools/autograd/gen_variable_type.py	426	# pertaining to its output:
MEDIUM	tools/autograd/gen_variable_type.py	1544	# See Note [nuanced return type of out-of-place foreach functions]
LOW	tools/autograd/gen_variable_type.py	2079	# View ops create fw_grad that already is a view of the base's fw_grad so just use that
LOW	tools/autograd/gen_trace_type.py	180	# For inplace: just add the input to the end to confirm with the JIT schema
MEDIUM	tools/alerts/create_alerts.py	182	# Creates a Dict of Job Name -> [JobData]. Essentially a Column in HUD
LOW	tools/code_coverage/package/oss/init.py	128	# if this argument is specified, just return itself
MEDIUM	tools/stats/upload_test_stats.py	67	# To do this, we leverage an implementation detail of how we write out
LOW	.ci/docker/manywheel/s390_scripts/build.sh	51	# So let's just use the same one pip and everyone uses
LOW	.ci/docker/common/install_nccl.sh	6	# so we can just use the default NCCL version.
LOW	.ci/manywheel/build_common.sh	177	# Note - just use whichever python we happen to be on
LOW	.ci/pytorch/common_utils.sh	145	# There won't be nvidia-smi in nogpu tests, so just set TORCH_CUDA_ARCH_LIST to the default
MEDIUM	.ci/pytorch/run_tests.sh	7	# Essentially runs pytorch/test/run_test.py, but keeps track of which tests to
MEDIUM	test/test_mps.py	6238	# Essentially remained over integral types should rely on integers ops
LOW	test/test_mps.py	14282	# fail, so just set CWD to this script's directory
LOW	test/test_mps.py	14327	# fail, so just set CWD to this script's directory
LOW	test/test_python_dispatch.py	2229	e.contiguous() # this will just return the original TensorImpl since is_contiguous = True
LOW	test/test_import_stats.py	7	# time is greater than a certain threshold, but for now we just use them
LOW	test/test_tensor_creation_ops.py	2615	# instead of repeating this calculation, we just use empty_strided which does the same
LOW	test/test_pytree.py	897	# fail, so just set CWD to this script's directory
MEDIUM	test/test_custom_ops.py	1135	# Not comprehensive (it doesn't need to be), just a check that our mechanism works
LOW	test/test_stateless.py	905	# fail, so just set CWD to this script's directory
LOW	test/test_stateless.py	927	# fail, so just set CWD to this script's directory
MEDIUM	test/test_jit_llga_fuser.py	61	# so we disable AMP for JIT & leverage eager-mode AMP.
LOW	test/test_cuda.py	6664	# fail, so just set CWD to this script's directory
LOW	test/test_cuda.py	3036	# fail, so just set CWD to this script's directory
MEDIUM	test/run_test.py	434	# in that they utilize the usual python test infrastructure.
LOW	test/run_test.py	514	# to just return successfully here
MEDIUM	test/test_dlpack.py	814	# Run the comprehensive C++ test
MEDIUM	test/test_meta.py	788	# useful for more comprehensive testing e.g., as seen in
MEDIUM	test/test_binary_ufuncs.py	1857	# in a binary operation in conjunction with a Tensor on all
MEDIUM	test/test_autograd.py	2975	# Definitely pick one tensor to add
LOW	test/test_autograd.py	4740	# This op will just return grad_output two times in backward
LOW	test/test_autograd.py	11847	# fail, so just set CWD to this script's directory
MEDIUM	test/test_nestedtensor.py	8995	# OpInfo-based NJT tests. These tests utilize an NJT-specific op_db generated from the standard
LOW	test/test_testing.py	2452	# fail, so just set CWD to this script's directory
MEDIUM	test/inductor/test_deterministic.py	138	# Halving sweep, matching what the benchmark harness does.
LOW	test/inductor/test_compiled_autograd.py	175	# fail, so just set CWD to this script's directory
LOW	test/inductor/test_triton_kernels.py	4993	# we can just pass the function 'f' for dynamo
LOW	test/inductor/test_triton_kernels.py	5277	# we can just pass the function 'f' for dynamo
MEDIUM	test/inductor/test_max_autotune_blackwell.py	292	# Fundamentally we should fix the triton_blackwell_ws_persistent_device_tma template
MEDIUM	test/inductor/test_cpu_repro.py	450	# The cpp_wrapper C-shim can't utilize the Python error API, so error
MEDIUM	test/inductor/test_control_flow.py	56	# Simple robust loss: abs values + small constant to avoid inf/nan
MEDIUM	test/inductor/test_torchinductor.py	15841	# odd number on purpose to trigger comprehensive padding
MEDIUM	test/inductor/test_torchinductor_opinfo_properties.py	547	"""Get sample inputs from OpInfo using reference_inputs for comprehensive coverage."""
MEDIUM	test/inductor/test_torchinductor_opinfo_properties.py	548	# Use reference_inputs for more comprehensive test coverage
LOW	test/onnx/test_pytorch_onnx_onnxruntime.py	13816	# Otherwise the entire model will just return a constant and not have
LOW	test/distributed/test_c10d_common.py	2205	# fail, so just set CWD to this script's directory
MEDIUM	test/distributed/launcher/api_test.py	89	"""A wrapper function for class `elastic_launch.` in order to make multiprocess returns correct exit code."""
LOW	test/distributed/elastic/multiprocessing/api_test.py	540	# Using mock since we cannot just set exitcode on process
MEDIUM	…istributed/_composable/fsdp/test_fully_shard_memory.py	86	# With the aforementioned PR, and with shape (1, 768),
MEDIUM	test/distributed/tensor/test_dtensor_ops.py	100	# factory/creation ops: test harness can't convert non-tensor args to DTensor
233 more matches not shown…

Verbosity Indicators251 hits · 396 pts

Severity	File	Line	Snippet
LOW	test/test_autograd.py	8180	# Step 1: Checkpointed forward with batch_size=4 → static graph G0
LOW	test/test_autograd.py	8184	# Step 2: Non-checkpointed call with batch_size=7 triggers automatic
LOW	test/test_autograd.py	8192	# Step 3: Backward. Checkpoint recomputes fn(x) but now hits G1
LOW	test/test_testing.py	856	# We need to check if this test is still needed or if this behavior is now enabled by default.
LOW	test/cpp_extensions/cudnn_extension.cpp	43	// Step 1: Check inputs. This will throw an error if inputs are invalid, so no
LOW	test/cpp_extensions/cudnn_extension.cpp	46	// Step 2: Create descriptors
LOW	test/cpp_extensions/cudnn_extension.cpp	59	// Step 3: Apply CuDNN function
LOW	test/cpp_extensions/cudnn_extension.cpp	71	// Step 4: Destroy descriptors
LOW	test/cpp_extensions/cudnn_extension.cpp	73	// Step 5: Return something (optional)
LOW	test/distributed/tensor/test_redistribute.py	3072	# Step 1: reduce_scatter on mesh dim 0 (size 2)
LOW	test/distributed/tensor/test_redistribute.py	3076	# Step 2: reduce_scatter on mesh dim 1 (size 3)
LOW	test/distributed/tensor/parallel/test_tp_examples.py	222	# Step 3: Run test by comparing outputs from single-gpu and multi-gpu models.
LOW	test/distributed/tensor/parallel/test_tp_examples.py	305	) # Step 1: Initialize single-gpu models.
LOW	test/distributed/tensor/parallel/test_tp_examples.py	308	) # Step 2: Setup tp model, place onto device mesh.
LOW	test/distributed/tensor/parallel/test_tp_examples.py	311	) # Step 3: Setup optimizers for both models
LOW	test/distributed/tensor/parallel/test_tp_examples.py	433	) # Step 1: Initialize single-gpu models.
LOW	test/distributed/tensor/parallel/test_tp_examples.py	436	) # Step 2: Setup tp model, place onto device mesh.
LOW	test/distributed/tensor/parallel/test_tp_examples.py	439	) # Step 3: Setup optimizers for both models
LOW	test/distributed/tensor/parallel/test_tp_examples.py	442	) # Step 4: set `requires_grad` patterns
LOW	test/dynamo/test_repros.py	7364	# Step 1: Compile a static shapes graph
LOW	test/dynamo/test_repros.py	7373	# Step 2: Compile a dynamic shapes graph
LOW	test/dynamo/test_repros.py	7383	# Step 3: Run with Step 1's inputs
LOW	test/dynamo/test_repros.py	7406	# Step 1: Compile a static shapes graph
LOW	test/dynamo/test_repros.py	7415	# Step 2: Compile a dynamic shapes graph
LOW	test/dynamo/test_repros.py	7425	# Step 3: Run with Step 1's inputs
LOW	test/profiler/test_profiler.py	4382	# Step 3: under the patch, RECORD -> DEVICE_STOPPED fires stop_trace +
LOW	torch/_custom_ops.py	61	>>> # Step 1: define the custom op.
LOW	torch/_custom_ops.py	72	>>> # Step 2: Register an implementation for various PyTorch subsystems
LOW	torch/_custom_ops.py	144	>>> # Step 1: define the custom op.
LOW	torch/_custom_ops.py	155	>>> # Step 2: Register an implementation for various PyTorch subsystems
LOW	torch/_ops.py	412	# Step 1: dispatch on any user TorchDispatchModes
LOW	torch/_ops.py	440	# Step 2: dispatch on any subclasses
LOW	torch/_ops.py	672	# When we are unsetting a mode, we need to check if there is
LOW	torch/_ops.py	722	# When we are setting a mode, we need to check if there is
LOW	torch/csrc/dynamo/init.cpp	357	// even if __next__ is not defined, so we need to check if the method is truly
LOW	torch/csrc/utils/python_arg_parser.cpp	574	// Step 1: Try to dispatch based on the mode stack, ignoring infra
LOW	torch/csrc/utils/python_arg_parser.cpp	624	// Step 1: Try to dispatch on any user TorchDispatchModes (including infra
LOW	torch/csrc/utils/python_arg_parser.cpp	635	// Step 2: Try to dispatch based on any user subclasses,
LOW	torch/csrc/jit/tensorexpr/loopnest.cpp	1975	// We need to check if fusing the loops results in a loop-carried dependence.
LOW	torch/csrc/lazy/ts_backend/ts_eager_fallback.cpp	222	// Step 1: Convert all non-eager tensor inputs into eager tensors and put them
LOW	torch/csrc/lazy/ts_backend/ts_eager_fallback.cpp	254	// Step 2: Call the underlying eager implementation of the operator
LOW	torch/csrc/lazy/ts_backend/ts_eager_fallback.cpp	257	// Step 3: We need to take special care to handle mutable aliases properly:
LOW	torch/csrc/lazy/ts_backend/ts_eager_fallback.cpp	268	// Step 4: Convert any eager output tensors back to the original input device.
LOW	torch/_functorch/eager_transforms.py	661	# Step 1: Construct grad_outputs by splitting the standard basis
LOW	torch/_functorch/eager_transforms.py	778	# Step 2: The returned jacobian is one big tensor per input. In this step,
LOW	torch/_functorch/eager_transforms.py	792	# Step 3: Right now, `jacobian` is a List[List[Tensor]].
LOW	torch/_functorch/_aot_autograd/functional_utils.py	387	# For outputs aliasing inputs, we need to check if the requires-gradness has changed.
LOW	torch/_functorch/_aot_autograd/functional_utils.py	389	# For outputs aliasing inputs, we need to check if the dtype has changed.
LOW	…rch/_functorch/_aot_autograd/graph_capture_wrappers.py	1338	# Step 1: wrap tensor inputs into subclasses if necessary
LOW	…rch/_functorch/_aot_autograd/graph_capture_wrappers.py	1343	# Step 2: call the inner function, with our (maybe subclass) inputs
LOW	…rch/_functorch/_aot_autograd/graph_capture_wrappers.py	1376	# Step 3: Unwrap any subclass outputs back into dense tensors
LOW	…ctorch/_activation_offloading/activation_offloading.py	767	# Step 1: Identify reload patterns
LOW	…ctorch/_activation_offloading/activation_offloading.py	772	# Step 2: Reorder nodes by directly manipulating the graph
LOW	…ctorch/_activation_offloading/activation_offloading.py	791	# Step 1: Decide which nodes to offload and mark them
LOW	…ctorch/_activation_offloading/activation_offloading.py	800	# Step 2: Add offload and reload nodes to the graphs
LOW	torch/_export/utils.py	1368	# Step 1: Materialize all ops from C++ dispatcher
LOW	torch/_export/utils.py	1371	# Step 2: Query all ops from python dispatcher
LOW	torch/_export/serde/schema_check.py	869	# Step 1: Detect major schema updates.
LOW	torch/_export/serde/schema_check.py	896	# Step 2: Detect minor schema updates.
LOW	torch/onnx/_internal/exporter/_core.py	1657	# Step 4: (verify=True) Check the ONNX model with ONNX checker
191 more matches not shown…

Dead Code85 hits · 166 pts

Severity	File	Line
MEDIUM	test/test_datapipe.py	3741
MEDIUM	test/test_functionalization.py	769
MEDIUM	test/test_functionalization.py	770
MEDIUM	test/test_functionalization.py	771
MEDIUM	test/test_functionalization.py	772
MEDIUM	test/test_jit.py	14077
MEDIUM	test/test_jit.py	9927
MEDIUM	test/test_jit_fuser.py	734
MEDIUM	test/test_jit_fuser.py	735
MEDIUM	test/test_jit_fuser.py	737
MEDIUM	test/test_jit_fuser.py	739
MEDIUM	test/test_jit_fuser.py	742
MEDIUM	test/test_jit_fuser.py	746
MEDIUM	test/test_autograd.py	15593
MEDIUM	test/test_fx.py	4949
MEDIUM	test/test_fx.py	3810
MEDIUM	test/inductor/test_ordered_set.py	25
MEDIUM	test/inductor/test_ordered_set.py	976
MEDIUM	test/onnx/test_utility_funs.py	109
MEDIUM	test/dynamo/test_misc.py	9347
MEDIUM	test/dynamo/test_misc.py	12038
MEDIUM	test/dynamo/test_generator.py	1237
MEDIUM	test/dynamo/test_exceptions.py	535
MEDIUM	test/dynamo/test_guard_manager.py	886
MEDIUM	test/quantization/fx/test_quantize_fx.py	2564
MEDIUM	test/quantization/fx/test_quantize_fx.py	2566
MEDIUM	test/quantization/fx/test_quantize_fx.py	2569
MEDIUM	test/cpython/v3_13/test_itertools.py	2723
MEDIUM	test/cpython/v3_13/test_generators.py	566
MEDIUM	test/cpython/v3_13/test_generators.py	577
MEDIUM	test/cpython/v3_13/test_exceptions.py	1836
MEDIUM	test/cpython/v3_13/test_set.py	77
MEDIUM	test/cpython/v3_13/test_set.py	1109
MEDIUM	test/cpython/v3_13/test_deque.py	40
MEDIUM	test/cpython/v3_13/test_builtin.py	1288
MEDIUM	test/jit/test_backends.py	595
MEDIUM	test/profiler/test_memory_profiler.py	738
MEDIUM	test/profiler/test_memory_profiler.py	739
MEDIUM	test/profiler/test_memory_profiler.py	740
MEDIUM	test/profiler/test_memory_profiler.py	742
MEDIUM	test/profiler/test_memory_profiler.py	748
MEDIUM	test/profiler/test_memory_profiler.py	763
MEDIUM	test/profiler/test_memory_profiler.py	767
MEDIUM	test/profiler/test_memory_profiler.py	798
MEDIUM	test/profiler/test_memory_profiler.py	802
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	501
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	987
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	988
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	989
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	992
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1003
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1004
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1005
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1007
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1013
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1014
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1151
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1152
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1207
MEDIUM	test/torch_np/numpy_tests/core/test_indexing.py	1209
25 more matches not shown…

Overly Generic Function Names258 hits · 151 pts

Severity	File	Line	Snippet
LOW	tools/test/heuristics/test_heuristics.py	256	def helper(test_file: str, changed_file: str) -> bool:
LOW	test/test_mps.py	3409	def helper(binary_op):
LOW	test/test_mps.py	4370	def helper(dtype):
LOW	test/test_mps.py	4381	def helper(dtype):
LOW	test/test_mps.py	257	def helper(model_cpu, model_mps, dtype, iterations, batch_size, atol=3e-4, rtol=1e-5):
LOW	test/test_mps.py	321	def helper(model, optimizer, scaler, device, input, target, apply_grad_transform=False):
LOW	test/test_mps.py	997	def helper(val, shape, dtype):
LOW	test/test_mps.py	1213	def helper(dtype):
LOW	test/test_mps.py	1362	def helper(input_shape, batch1_shape, batch2_shape):
LOW	test/test_mps.py	1409	def helper(bias_shape):
LOW	test/test_mps.py	1696	def helper(shape, ks, padding=0, dilation=1, ceil_mode=False, return_indices=False, test_ties=False):
LOW	test/test_mps.py	1770	def helper(size, memory_format):
LOW	test/test_mps.py	1796	def helper(shape):
LOW	test/test_mps.py	1905	def helper(shape, channels_last=False):
LOW	test/test_mps.py	1922	def helper(shape, eps=1, momentum=0.1, wts=False, training=False, channels_last=False,
LOW	test/test_mps.py	2398	def helper(input_shape, normalized_shape, eps=1e-05, elementwise_affine=True, dtype=torch.float32, non_contiguou
LOW	test/test_mps.py	2461	def helper(shape, eps=1, momentum=0.1, wts=False, channels_last=False, track_running_stats=True, test_module=Fal
LOW	test/test_mps.py	2638	def helper(dim, layer='linear', dtype=torch.float32):
LOW	test/test_mps.py	2708	def helper(input_shape, wt_shape,
LOW	test/test_mps.py	2781	def helper(input_shape, wt_shape,
LOW	test/test_mps.py	2849	def helper(shape):
LOW	test/test_mps.py	2874	def helper(shape):
LOW	test/test_mps.py	2898	def helper(threshold, value, num_elems, inplace=False, requires_grad=True):
LOW	test/test_mps.py	2925	def helper(shape):
LOW	test/test_mps.py	2958	def helper(shape, value, xtype=torch.float32, ytype=None, ztype=None):
LOW	test/test_mps.py	2995	def helper(shape, value):
LOW	test/test_mps.py	3021	def helper(shape, value):
LOW	test/test_mps.py	3211	def helper(shape):
LOW	test/test_mps.py	3331	def helper(x_tensor, y_func, z_func, r_func=None):
LOW	test/test_mps.py	3424	def helper(operator):
LOW	test/test_mps.py	3516	def helper(shape, repeats):
LOW	test/test_mps.py	3615	def helper(shape, dtype=torch.float32, num_repeats=torch.Tensor(), dim=None):
LOW	test/test_mps.py	3640	def helper(dtype):
LOW	test/test_mps.py	3740	def helper(data, to_dtype):
LOW	test/test_mps.py	3758	def helper(data, to_dtype):
LOW	test/test_mps.py	3871	def helper(dtype):
LOW	test/test_mps.py	3928	def helper(x, return_inverse, return_counts):
LOW	test/test_mps.py	3948	def helper(x, dim, return_inverse, return_counts):
LOW	test/test_mps.py	4152	def helper(src_shape, dst_shape, src_dtype, dst_dtype):
LOW	test/test_mps.py	4290	def helper(dtype, noncontiguous, dim):
LOW	test/test_mps.py	4335	def helper(dtype):
LOW	test/test_mps.py	4353	def helper(dtype):
LOW	test/test_mps.py	4398	def helper(shape, dtype):
LOW	test/test_mps.py	4598	def helper(n, c):
LOW	test/test_mps.py	4615	def helper(shape, reduction):
LOW	test/test_mps.py	4644	def helper(shape, reduction):
LOW	test/test_mps.py	4714	def helper(shape, reduction):
LOW	test/test_mps.py	4970	def helper(shape):
LOW	test/test_mps.py	4983	def helper(shape):
LOW	test/test_mps.py	4994	def helper(shape):
LOW	test/test_mps.py	5007	def helper(shape):
LOW	test/test_mps.py	5018	def helper(shape):
LOW	test/test_mps.py	5031	def helper(shape):
LOW	test/test_mps.py	5042	def helper(shape):
LOW	test/test_mps.py	5055	def helper(shape):
LOW	test/test_mps.py	5066	def helper(shape):
LOW	test/test_mps.py	5079	def helper(shape):
LOW	test/test_mps.py	5108	def helper(n, c, h, w, reduction_type, dtype=torch.float32):
LOW	test/test_mps.py	5236	def helper(n, c, h, w, dtype=torch.float32):
LOW	test/test_mps.py	5361	def helper(shape):
198 more matches not shown…

Slop Phrases47 hits · 82 pts

Severity	File	Line	Snippet
MEDIUM	tools/autograd/derivatives.yaml	37	# If None of the output is differentiable, you can also add the function
LOW	test/test_jit.py	455	# you are deleting `constants.pkl`, make sure to update `torch.serialization.load`
LOW	test/test_jit.py	2536	# NB: We make sure to pass in a batch with a different max sequence
MEDIUM	test/test_fx.py	4032	# Used to test that you can use your own placeholder class
LOW	test/inductor/test_triton_kernels.py	5517	# so we wanna make sure to correctly handle edge cases with tricky line breaks
MEDIUM	test/inductor/test_profiler.py	83	# Debugging tips: you can add prof.export_chrome_trace("test.json") inline in
LOW	test/dynamo/test_repros.py	1537	# NB: When you remove the expectedFailure, don't forget to
LOW	test/dynamo/test_repros.py	1537	# NB: When you remove the expectedFailure, don't forget to
LOW	test/quantization/fx/test_model_report_fx.py	1958	# if they passed in fusion parameter, make sure to test that
MEDIUM	test/ao/sparsity/test_structured_sparsifier.py	1004	# Manually set the filter weights for demonstration purposes
LOW	.claude/skills/triaging-issues/labels.json	416	"description": "Optimization passes written in FX (don't forget to select a more specific label)"
MEDIUM	torch/torch_version.py	38	# Ideally this should work for most cases by attempting to group
LOW	torch/headeronly/core/ScalarType.h	340	// Don't forget to extend this when adding new QInt types
MEDIUM	torch/csrc/jit/backends/backend_debug_info.h	51	* don't serialize this info as part of LoweredModule as mentioned earlier.
MEDIUM	torch/_functorch/_aot_autograd/graph_compile.py	987	# Step 1) - Get the `joint_hop_gm`. As mentioned earlier, the
LOW	torch/_subclasses/meta_utils.py	922	# Need to make sure to resize the meta storage too.
LOW	torch/nn/utils/parametrizations.py	135	# We always make sure to always copy Q in every path
MEDIUM	torch/nn/modules/loss.py	2194	>>> S_min = 10 # Minimum target length, for demonstration purposes
LOW	torch/nn/modules/activation.py	1362	# When lifting this restriction, don't forget to either
LOW	torch/nn/modules/activation.py	1362	# When lifting this restriction, don't forget to either
LOW	…nnx/_internal/torchscript_exporter/symbolic_opset11.py	979	# make sure to cast other to self's type
LOW	…nnx/_internal/torchscript_exporter/symbolic_opset11.py	1013	# make sure to cast other to self's type
LOW	…onnx/_internal/torchscript_exporter/symbolic_opset9.py	2159	# make sure to cast other to self's type
LOW	…onnx/_internal/torchscript_exporter/symbolic_opset9.py	2188	# make sure to cast other to self's type
LOW	…nnx/_internal/torchscript_exporter/symbolic_opset12.py	77	# make sure to cast other to self's type
LOW	torch/distributed/elastic/rendezvous/etcd_rendezvous.py	886	# make sure you don't call any long-blocking methods that do not
LOW	torch/distributed/tensor/_dtensor_spec.py	448	# use, where we make sure to update the hash when the `tensor_meta`
LOW	torch/fx/graph.py	2005	# When generating Python code, we need to make sure to name things
MEDIUM	torch/fx/experimental/symbolic_shapes.py	1526	# (1) If you can use a higher level combinator prefer using those instead, they are definitely safe (modulo short-circui
LOW	torch/fx/experimental/proxy_tensor.py	701	# from_real_tensor to create fake values (don't forget to
LOW	torch/fx/experimental/proxy_tensor.py	701	# from_real_tensor to create fake values (don't forget to
LOW	torch/fx/passes/reinplace.py	765	# When that happens, we need to make sure to keep our
MEDIUM	torch/optim/lr_scheduler.py	368	>>> # Alternatively, you can use a single lambda function for all groups.
LOW	torch/_inductor/cpp_builder.py	2466	# When we build remotely, we need to make sure to carefully copy any files
LOW	torch/_inductor/compile_fx_ext.py	639	# Since our metrics were gathered in a subprocess make sure to add them
LOW	torch/_inductor/codegen/common.py	1243	# NB: if you add a new special function, don't forget to update
LOW	torch/_inductor/codegen/common.py	1243	# NB: if you add a new special function, don't forget to update
LOW	torch/utils/_python_dispatch.py	956	# Next: we need to make sure to return inputs directly, if the output is a mutable alias (e.g. add_()).
LOW	torch/utils/hipify/hipify_python.py	734	# make sure to check the end-of-word marker present
LOW	torch/utils/data/sampler.py	73	# implementing a `__len__` method. In such cases, we must make sure to not
MEDIUM	torch/_dynamo/backends/onnxrt.py	34	# " (4) If it returns `True`, then you can use `onnxrt` backend.\n"
MEDIUM	benchmarks/dynamo/common.py	1027	# Hypothetically you can use this from other places, but it's currently
LOW	.github/scripts/test_trymerge.py	8	# GraphQL queries in trymerge.py, please make sure to delete `gql_mocks.json`
LOW	aten/src/ATen/OpaqueTensorImpl.h	49	// unnecessary; don't forget to change that if needed!
LOW	aten/src/ATen/SparseTensorImpl.cpp	50	// unnecessary; don't forget to change that if needed!
MEDIUM	torchgen/api/types/types_base.py	179	# which you can use to figure out if a given Binding is appropriate
LOW	c10/core/StorageImpl.h	106	// unnecessary; don't forget to change that if needed!

Synthetic Comment Markers3 hits · 22 pts

Severity	File	Line	Snippet
HIGH	test/test_view_ops.py	1105	# Test various configurations - one per line as requested
HIGH	test/quantization/fx/test_quantize_fx.py	8938	# reshape will be quantized to fp16 as requested by this qconfig
HIGH	c10/util/Backtrace.cpp	226	// Skip as many frames as requested.

Example Usage Blocks15 hits · 22 pts

Severity	File	Line	Snippet
LOW	tools/vendoring/quack/vendor.sh	4	# Usage:
LOW	torch/library.h	961	/// Example usage:
LOW	torch/library.h	1038	/// Example usage:
LOW	torch/csrc/api/include/torch/python.h	198	/// Example usage:
LOW	torch/csrc/api/include/torch/python.h	234	/// Example usage:
LOW	torch/csrc/api/include/torch/nn/modules/common.h	6	/// Example usage:
LOW	torch/nn/attention/flex_attention.py	48	# Usage:
LOW	torch/_inductor/config.py	177	# Example usage:
LOW	torch/_inductor/fuzzer.py	540	# Example usage:
LOW	torch/testing/_internal/common_device_type.py	975	# Usage:
LOW	torch/testing/_internal/common_device_type.py	987	# Usage:
LOW	torch/testing/_internal/common_device_type.py	1219	# Example usage:
LOW	torch/_dynamo/variables/higher_order_ops.py	141	# Example usage:
LOW	aten/src/ATen/TensorMeta.h	17	// Example usage:
LOW	aten/src/ATen/TensorMeta.h	49	// Example usage:

Fake / Example Data3 hits · 4 pts

Severity	File	Line	Snippet
LOW	test/cpp/lazy/test_misc.cpp	45	"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut at suscipit purus."),
LOW	test/cpp/lazy/test_misc.cpp	45	"Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut at suscipit purus."),
LOW	test/cpp/lazy/test_misc.cpp	47	"Lorem Jpsum dolor sit amet, consectetur adipiscing elit. Ut at suscipit purus."));

Score History

Severity Breakdown

Pattern Findings