- Fork cudarc locally (vendor/cudarc): add CudaContext::load_cubin() that calls cuModuleLoadData directly — zero nvrtc dependency - Remove "nvrtc" feature from ml-core, ml-dqn, ml-ppo Cargo.toml - Replace all 89 Ptx::from_binary + load_module calls with load_cubin - ml-core cuda_autograd: wire 9 stub constructors to precompiled cubins (activation, elementwise, linear, loss, reduction, dropout, layer_norm, optimizer) - ml-core build.rs: compile 8 BF16-native CUDA kernels via nvcc - cubin_loader.rs: thin wrapper around CudaContext::load_cubin() - Fix size_of::<f32> in gpu_tensor.rs, stream_ops.rs, layer_norm.rs - Fix test data: Vec<f32> → Vec<half::bf16> for memcpy_htod - Stub ml-ppo/ml-dqn runtime compile_ptx calls (dead code) - backtest_metrics_kernel.cu: full native BF16 rewrite (no float) - backtest_env_kernel.cu: shared memory → __nv_bfloat16 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
19 lines
555 B
YAML
19 lines
555 B
YAML
on: [pull_request]
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jobs:
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clippy:
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name: clippy
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions-rs/toolchain@v1
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with:
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profile: minimal
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toolchain: stable
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override: true
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- run: rustup component add clippy
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- uses: actions-rs/cargo@v1
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with:
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command: clippy
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args: --no-default-features --features cuda-13010,no-std,cudnn,cublas,cublaslt,nvrtc,driver,curand,nccl,dynamic-loading,cufile,cupti,nvtx,cufft --all-targets -- -D warnings
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