Tencent/ncnn

45 other commands the scanner could not classify

Commands from CI steps and task runners that look like checks but match no known tool. Some are checks, some are not.

• build = subprocess.check_output([xcrun, vtool, -show-build, module], text=True)
• cmake $EXPR -DNCNN_BUILD_TESTS=ON -DNCNN_VULKAN=OFF -G MinGW Makefiles ..
• cmake -DCMAKE_BUILD_TYPE=MinSizeRel -DTorch_INSTALL_DIR=$GITHUB_WORKSPACE/libtorch-$EXPR-install -DTorchVision_INSTAL...
• cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=install -DNCNN_VERSION_STRING=$EXPR -DNCNN_VULKAN=ON -DNCNN_B...
• cmake -DCMAKE_BUILD_TYPE=Release -DNCNN_VALIDATION=OFF -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OFF -DNCNN_BUILD_EXAM...
• cmake -DCMAKE_BUILD_TYPE=Release -DTorch_INSTALL_DIR=$GITHUB_WORKSPACE/libtorch-$EXPR-install -DTorchVision_INSTALL_D...
• cmake -DCMAKE_BUILD_TYPE=Release ..
• cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_COVERAGE=ON -DNCNN_OPENMP=OFF -DNCNN_BUILD_TOOLS=OFF -DNCNN_BUILD_EXAMPLES=OFF ...
• cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_COVERAGE=ON -DNCNN_RUNTIME_CPU=OFF -DNCNN_AVX2=ON -DNCNN_AVXVNNI=OFF -DNCNN_AVX...
• cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_COVERAGE=ON -DNCNN_RUNTIME_CPU=OFF -DNCNN_AVX=ON -DNCNN_F16C=ON -DNCNN_XOP=OFF ...
• cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_COVERAGE=ON -DNCNN_RUNTIME_CPU=OFF -DNCNN_SSE2=$EXPR -DNCNN_AVX=$EXPR -DNCNN_F1...
• cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_COVERAGE=ON -DNCNN_RUNTIME_CPU=OFF -DNCNN_SSE2=$EXPR -DNCNN_AVX=$EXPR -DNCNN_F1...
• cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_VULKAN=ON -DNCNN_COVERAGE=ON -DNCNN_RUNTIME_CPU=OFF -DNCNN_AVX2=ON -DNCNN_XOP=O...
• cmake -DCMAKE_BUILD_TYPE=relwithdebinfo -DNCNN_ASAN=ON -DNCNN_BUILD_TESTS=ON -DNCNN_SHARED_LIB=ON -DNCNN_BUILD_TOOLS=...
• cmake -DCMAKE_INSTALL_PREFIX=$GITHUB_WORKSPACE/libtorch-$EXPR-install -DCMAKE_BUILD_TYPE=MinSizeRel -DBUILD_SHARED_LI...
• cmake -DCMAKE_INSTALL_PREFIX=$GITHUB_WORKSPACE/onnxruntime-$EXPR-install -DCMAKE_BUILD_TYPE=MinSizeRel -Donnxruntime_...
• cmake -DCMAKE_INSTALL_PREFIX=$GITHUB_WORKSPACE/onnxruntime-$EXPR-install -Dprotobuf_BUILD_TESTS=OFF -DCMAKE_BUILD_TYP...
• cmake -DCMAKE_INSTALL_PREFIX=install -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DLLVM_ENABLE_PROJECTS=clang ...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/$EXPR-v310.toolchain.cmake -DCMAKE_BUILD_TYPE=release -DNCNN_OPENMP=$EXPR ...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/esp32.toolchain.cmake -DCMAKE_BUILD_TYPE=Release -DNCNN_BUILD_EXAMPLES=OFF ..
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/host-c.gcc.toolchain.cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_COVERAGE=ON -DN...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/host.clang-m32.toolchain.cmake -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OF...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/host.clang-m32.toolchain.cmake -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OF...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/host.gcc-c++03.toolchain.cmake -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OF...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/host.gcc-m32.toolchain.cmake -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OFF ...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/host.gcc-m32.toolchain.cmake -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OFF ...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/k1.llvm.toolchain.cmake -DCMAKE_BUILD_TYPE=release -DNCNN_OPENMP=$EXPR -DN...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/k1.toolchain.cmake -DCMAKE_BUILD_TYPE=release -DNCNN_OPENMP=$EXPR -DNCNN_T...
• cmake -DCMAKE_TOOLCHAIN_FILE=../toolchains/riscv64-unknown-linux-gnu.toolchain.cmake -DCMAKE_BUILD_TYPE=debug -DNCNN_...
• cmake -DNCNN_AVX2=ON -DNCNN_BUILD_TESTS=ON ..
• cmake -DNCNN_BUILD_TESTS=ON ..
• cmake -DNCNN_INT8=OFF -DNCNN_BUILD_TESTS=ON ..
• cmake -DNCNN_VULKAN=ON -DNCNN_BUILD_TESTS=ON -DNCNN_BUILD_TOOLS=OFF -DNCNN_BUILD_EXAMPLES=OFF ..
• cmake -DNCNN_VULKAN=ON -DNCNN_BUILD_TESTS=ON ..
• cpus = subprocess.check_output([lipo, -archs, module], text=True).split()
• ctest --output-on-failure -j $(nproc)
• ctest --output-on-failure -j 4
• ctest --output-on-failure -j 8
• ctest -C Release --output-on-failure -R test_nn_Conv
• ctest -C Release --output-on-failure -j 4

full scan as JSON

• Consistency And ReadabilityApply a single, repeatable style checklist across all new/modified code: 1) Remove unused/redundant code - Drop unused `#include`s and un...

  Tencent/ncnn Code Style C++ ml-systems 2026-02-13

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• Spec-aligned Algorithm CorrectnessAll algorithm implementations must be spec-aligned for the exact operator variant, tensor shapes/axes, and boundary conditions. Before me...

  Tencent/ncnn Algorithms C++ ml-systems 2025-09-24

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• Consistent Semantic IdentifiersWhen adding/changing code, use names that (1) match existing project conventions, (2) clearly express intent, and (3) avoid reserved/prob...

  Tencent/ncnn Naming Conventions C++ ml-systems 2025-09-10

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• Platform-Targeted FlagsWhen enabling/disabling CPU features or platform-specific APIs, derive decisions from the *configured target/platform* (toolchain/CMake t...

  Tencent/ncnn Configurations Other ml-systems 2025-07-12

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• Unrolled SIMD LocalityWhen optimizing hot kernels (SIMD/vectorized paths), remove avoidable overhead and improve locality: 1) Unroll small fixed-size tails (e....

  Tencent/ncnn Performance Optimization C++ ml-systems 2025-08-21

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• Capability-Guarded ConfigurationWhen code depends on environment/build features (SIMD/FP16 availability, OpenCV versioned APIs, packing layout support, OS/ABI-specific m...

  Tencent/ncnn Configurations C++ ml-systems 2026-01-03

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• Graceful Error PropagationWhen writing library code, never hard-terminate or silently ignore failures. Always (1) validate inputs/shape compatibility correctly (in...

  Tencent/ncnn Error Handling C++ ml-systems 2025-09-13

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• Conditional CMake ConfigurationWhen changing build configuration (compiler definitions, link libraries, compile/link flags), ensure it is applied only when the correct ...

  Tencent/ncnn Configurations Txt ml-systems 2025-07-12

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• Header hygiene rulesKeep headers “composition-safe” and minimal. Apply these rules: - **Do not define non-inline function implementations in headers.** Put t...

  Tencent/ncnn Code Style Other ml-systems 2025-01-07

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• Avoid Performance PessimizationWhen optimizing for CPU/GPU speed, don’t accidentally remove fast paths via build/toolchain settings, and don’t add expensive memory-acce...

  Tencent/ncnn Performance Optimization Other ml-systems 2025-07-12

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• Platform-correct CI PipelinesEnsure CI/CD workflows build, test, and package artifacts in a way that is correct for each target platform/architecture—without running ...

  Tencent/ncnn CI/CD Yaml ml-systems 2025-07-12

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• Stable Public API SurfaceWhen modifying or adding exported interfaces in public headers, ensure the external API surface is stable, easy to use across platforms/l...

  Tencent/ncnn API Other ml-systems 2023-09-18

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• Inference Compatibility RulesEnsure layer math, parameter semantics, and model conversion/backends remain consistent so inference results don’t silently change. Apply...

  Tencent/ncnn AI C++ ml-systems 2023-09-14

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• Semantic Collision-Safe NamingAll identifiers should be (1) semantically clear, (2) consistent with project naming patterns, and (3) collision-safe. Apply this checkli...

  Tencent/ncnn Naming Conventions Other ml-systems 2023-08-16

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• Null-safe checksMake null/empty handling explicit and safe—so empty values don’t break logic or even generate invalid syntax, and raw null-pointer checks...

  Tencent/ncnn Null Handling Other ml-systems 2021-12-09

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• Backwards-Compatible API EvolutionWhen evolving or integrating client-facing interfaces (CLI/API) and platform-dependent APIs, preserve compatibility across existing clien...

  Tencent/ncnn API C++ ml-systems 2025-09-10

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• Intentional Test CoverageAll unit tests should be (1) intentionally designed for coverage, (2) non-redundant, and (3) maintainable. Apply these rules: 1) Enforce ...

  Tencent/ncnn Testing C++ ml-systems 2025-03-07

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• Reliable Technical DocumentationWhen updating technical docs, ensure they are reliable in both what they claim and how developers can apply them: - Keep headings/section...

  Tencent/ncnn Documentation Markdown ml-systems 2022-08-03

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• Eliminate Shared Mutable StateEnsure concurrent execution is race-free by (a) not storing per-inference mutable state in shared layer objects, (b) keeping OpenMP loop ...

  Tencent/ncnn Concurrency Other ml-systems 2025-07-12

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• Optional Null Safety ChecksWhen code depends on possibly-missing inputs/outputs or optional attributes, do not index or read them unconditionally. Add explicit guar...

  Tencent/ncnn Null Handling C++ ml-systems 2025-07-12

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• Canonical Naming and TyposUse canonical, consistently formatted identifiers across code and build files, and verify every variable/option name is spelled exactly a...

  Tencent/ncnn Naming Conventions Txt ml-systems 2023-07-06

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• Append Only CompatibilityWhen a generated API surface (e.g., an enum/type-id) is derived from the order of a registration list, treat that order as part of the pu...

  Tencent/ncnn API Txt ml-systems 2020-06-07

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• Use exact math semanticsWhen implementing performance-critical algorithms (e.g., pooling, math kernels, SIMD/ISA code), preserve the algorithm’s true numeric sem...

  Tencent/ncnn Algorithms Other ml-systems 2026-03-06

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• Config Contract EnforcementWhen introducing or updating environment/configuration behavior, ensure the documented meaning, runtime inputs (CLI/feature flags), and b...

  Tencent/ncnn Configurations Markdown ml-systems 2022-08-02

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• Stable Benchmarking PracticesWhen collecting performance numbers, ensure both (1) benchmark parameters match the target hardware and (2) the execution environment is ...

  Tencent/ncnn Performance Optimization Markdown ml-systems 2021-04-02

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• Build Script OrderingIn build/configuration files (e.g., CMakeLists), keep statements organized so that they are (1) scoped to the conditions that actually en...

  Tencent/ncnn Code Style Txt ml-systems 2020-03-30

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• Preserve Backward CompatibilityWhen making schema/proto changes, never remove (or repurpose) legacy layer parameters that existing models/configs rely on. For backward ...

  Tencent/ncnn Migrations Other ml-systems 2019-02-12

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• Validate by File HeaderWhen parsing untrusted files (e.g., images), do not choose decode/encode logic based on filename suffix/substring (e.g., “.pgm/.ppm/.jpg”...

  Tencent/ncnn Security C++ ml-systems 2020-11-13

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