/*
 * Engram CUDA hash kernel for O(1) N-gram context lookup.
 *
 * Phase 2: Custom CUDA kernel for batched hash computation.
 * Phase 1: Uses Python-level hashing in EngramModule._hash_context().
 *
 * Hash function: h = token[t] ^ (token[t-1] * prime_1) ^ (token[t-2] * prime_2)
 * Output: h % n_columns (table index)
 *
 * This kernel parallelizes over (batch, sequence) dimensions.
 */
// Stub: Phase 2 implementation