e87470733d
Before: 9 ixformer ops available, 0 used by our code (100% pure PyTorch). After: matmul/bmm/softmax wired into every hot path. Decode path (runs for EVERY generated token): - 2× torch.bmm → _ix_bmm (kv_mem lookup + output projection) Chunk scan loop (prefill, runs per 2048-token chunk): - k_beta @ key.T → _ix_matmul - attn @ v_beta → _ix_matmul - attn @ k_beta_exp → _ix_matmul - 6× matmul inside state update loop → _ix_matmul MoE routing + expert dispatch: - torch.softmax → _ix_softmax (router) - torch.bmm in decode fast-path → _ix_bmm Also adds CODEPATH_MAP.md — complete source-file-level timing diagram from HTTP request to GPU kernel, with line numbers. ixformer.matmul signature: matmul(input, other, out, transa, transb, alpha, beta) ixformer.softmax signature: softmax(input, dim) Both fall back to torch if ixformer unavailable.