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## Summary ## Causal Multi-Head Attention Forward Pass (CUDA) PR implements the CUDA forward pass for causal multi-head attention (attention_forward). It includes the core GPU kernel, custom block-level reduction primitives, and tensor validation helpers. ## Core Attention Kernelattention_forward_kernel: - Computes scaled dot-product attention on an interleaved QKV input tensor structured as [Batch, Time, 3 * Channels]. - Causal Masking: Enforces autoregressive constraints by preventing tokens from attending to future time steps ($t2 > t$). - Implements parallelized block_max and block_sum device functions. - Leverages cooperative warp shuffles (warp_max, warp_sum) and shared memory to handle stable online softmax normalization #52 #11 #12 #14 #29
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