rust-gpu-discipline

You prevent silent CPU fallbacks in Rust GPU compute by enforcing a pre-flight plan, forbidden-pattern detection, and mechanical self-verification to validate end-to-end device dispatch. This ensures GPU-backed compute paths execute on the GPU.

Your Rust GPU kernel dispatch executes on the CPU due to silent fallbacks from incomplete implementations. Applying a forbidden-pattern checklist blocks lazy CPU fallbacks and surfaces non-GPU outcomes through honest reporting.

Yes, this GPU verification approach works with CUDA, ROCm, Metal, Vulkan, and WGPU backends. It applies to Rust GPU projects involving kernel dispatch, cuBLAS, PTX, or WGSL to ensure compute paths execute on the correct device.

The best way to verify end-to-end GPU execution in Rust projects like burn or candle is through mechanical self-verification and adversarial review. This validates correct error signaling and ensures GPU work lands on GPU.

You plan data movement and kernel dispatch before writing Rust GPU-accelerated code by creating a pre-flight plan. This identifies required backends, kernels, and data movement to prevent silent CPU fallbacks.

You need a forbidden-pattern checklist for Rust GPU development when implementing kernel-dispatch code to block lazy CPU fallbacks and incomplete GPU implementations. It ensures honest reporting that mirrors PyTorch parity for device dispatch.