Add elu activation - #6
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Adds vortx::linalg::{Activation (tanh + tanh_backward), Adam} and their shaders,
the GPU building blocks for MLP training (used by nexus RL demos / zealot-rl).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add ELU to the activation kernels alongside the existing tanh: - gpu_elu / gpu_elu_backward (backward reuses the cached output: grad *= y>0 ? 1 : y+1, same formulation as gpu_tanh_backward) - gpu_elu_vec4 (4-wide ELU; host reinterprets the f32 buffer as glamx::Vec4) -- pulls in glamx as a dependency - host Activation::elu / elu_backward / elu_vec4 wrappers - export GpuElu, GpuEluBackward, GpuEluVec4 Needed for zealot's all-GPU PPO policy (ActorCritic uses ELU hidden activations). Verified bit-exact vs the CPU ELU/elu_grad in zealot-rl (~1e-7). Note: the one-line glamx Cargo.toml dependency is shared with the PPO-kernels and GEMM-vec4 branches; whichever lands first, the others need a trivial rebase of that line. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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This is being merged as part of #11 |
sebcrozet
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Aug 27, 2026
* feat: move inferi shaders into an optional ml module for vortx * chore: cargo fmt * feat(ml): add tanh activation + Adam optimizer GPU ops Replaces #5 Co-Authored-By: Haixuan Xavier Tao <tao.xavier@outlook.com> * refactor(ml): move the tanh-backward + Adam kernels into vortx::ml and drop the duplicated tanh forward Completes #5 * feat(ml): add ELU activation GPU ops (fwd/backward/vec4) Replaces #6 Co-Authored-By: Haixuan Xavier Tao <tao.xavier@outlook.com> * refactor(ml): keep only the ELU backward pass, the forward is already UnaryOp::Elu Completes #6 * feat(ml): add PPO loss-gradient GPU kernels Replaces #5 Co-Authored-By: Haixuan Xavier Tao <tao.xavier@outlook.com> * refactor(ml): wire the PPO kernels to vortx::ml and use StepRng for uniform control flow Completes #5 * perf(linalg): vec4 GEMM (compute-FMA inner loop + vec4 global-load variant) Replaces #7 Co-Authored-By: Haixuan Xavier Tao <tao.xavier@outlook.com> * perf(linalg): keep the vec4 FMA inner loop, drop the unmeasured vec4 global-load GEMM variant Completes #7 * feat(ml): gpu_ppo_stage_batch, building the PPO minibatch on device * chore(ml): comment cleanups * chore: CI fixes --------- Co-authored-by: Haixuan Xavier Tao <tao.xavier@outlook.com>
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Add multiple activation kernels!