#version 450 #extension GL_EXT_control_flow_attributes : require #extension GL_KHR_shader_subgroup_basic : enable #if USE_SUBGROUP_CLUSTERED #extension GL_KHR_shader_subgroup_clustered : enable #endif #if USE_SUBGROUP_ADD #extension GL_KHR_shader_subgroup_arithmetic : enable #endif // Caller guarantees valid spec constants: S_V % COLS_PER_WG == 0 and S_V % LANES_PER_COLUMN == 0, // so no bounds checking is needed. layout(constant_id = 0) const uint S_V = 128; layout(constant_id = 1) const uint KDA = 0; layout(constant_id = 2) const uint SUBGROUP_SIZE = 32; layout(constant_id = 3) const uint LANES_PER_COLUMN = 32; const uint COLS_PER_WG = SUBGROUP_SIZE / LANES_PER_COLUMN; const uint ROWS_PER_LANE = S_V / LANES_PER_COLUMN; layout(local_size_x_id = 2, local_size_y = 1, local_size_z = 1) in; layout(push_constant) uniform Parameters { uint H; uint n_tokens; uint n_seqs; uint s_off; uint sq1, sq2, sq3; uint sv1, sv2, sv3; uint sb1, sb2, sb3; uint neq1, rq3; float scale; uint K; }; layout(binding = 0) readonly buffer QBuf { FLOAT_TYPE data_q[]; }; layout(binding = 1) readonly buffer KBuf { FLOAT_TYPE data_k[]; }; layout(binding = 2) readonly buffer VBuf { FLOAT_TYPE data_v[]; }; layout(binding = 3) readonly buffer GBuf { FLOAT_TYPE data_g[]; }; layout(binding = 4) readonly buffer BetaBuf { FLOAT_TYPE data_beta[]; }; layout(binding = 5) readonly buffer StateBuf { FLOAT_TYPE data_state[]; }; layout(binding = 6) buffer DstBuf { FLOAT_TYPE data_dst[]; }; #if !USE_SUBGROUP_ADD && !USE_SUBGROUP_CLUSTERED shared FLOAT_TYPE temp[SUBGROUP_SIZE]; // This does a reduction across groups of LANES_PER_COLUMN FLOAT_TYPE reduce_add_shmem(FLOAT_TYPE partial) { const uint lane = gl_SubgroupInvocationID; temp[lane] = partial; barrier(); [[unroll]] for (uint s = LANES_PER_COLUMN / 2u; s > 0; s >>= 1u) { FLOAT_TYPE other = temp[lane ^ s]; barrier(); temp[lane] += other; barrier(); } const FLOAT_TYPE result = temp[lane]; barrier(); return result; } #endif // clusterSize for subgroupClusteredAdd must be a compile-time constant; branch on spec constant FLOAT_TYPE reduce_partial(FLOAT_TYPE partial) { switch (LANES_PER_COLUMN) { case 1u: return partial; #if USE_SUBGROUP_CLUSTERED // Workaround for GLSL requiring a literal constant for the cluster size. // The branches should all fold away. case 2u: return subgroupClusteredAdd(partial, 2u); case 4u: return subgroupClusteredAdd(partial, 4u); case 8u: return subgroupClusteredAdd(partial, 8u); case 16u: return subgroupClusteredAdd(partial, 16u); case 32u: return subgroupClusteredAdd(partial, 32u); case 64u: return subgroupClusteredAdd(partial, 64u); #endif default: #if USE_SUBGROUP_ADD return subgroupAdd(partial); #else return reduce_add_shmem(partial); #endif } } void main() { const uint head_id = gl_WorkGroupID.x; const uint seq_id = gl_WorkGroupID.y; const uint lane = gl_SubgroupInvocationID % LANES_PER_COLUMN; const uint col = gl_WorkGroupID.z * COLS_PER_WG + (gl_SubgroupInvocationID / LANES_PER_COLUMN); const uint iq1 = head_id % neq1; const uint iq3 = seq_id / rq3; const uint state_size = S_V * S_V; // input state holds s0 only [S_v, S_v, H, n_seqs]: per-seq stride is H*D. const uint state_in_base = (seq_id * H + head_id) * state_size; // output state layout per slot: same per-(seq,head) offset as the single-slot case. const uint state_out_base = (seq_id * H + head_id) * state_size; const uint state_size_per_snap = state_size * H * n_seqs; FLOAT_TYPE s_shard[ROWS_PER_LANE]; [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { s_shard[r] = FLOAT_TYPE(data_state[state_in_base + col * S_V + r * LANES_PER_COLUMN + lane]); } // snapshot slot mapping: slot 0 = most recent state, slot s = s tokens back. // When n_tokens < K, only slots 0..n_tokens-1 are written; older slots are caller-owned. uint attn_off = (seq_id * n_tokens * H + head_id) * S_V; for (uint t = 0; t < n_tokens; t++) { const uint q_off = iq3 * sq3 + t * sq2 + iq1 * sq1; const uint k_off = q_off; const uint v_off = seq_id * sv3 + t * sv2 + head_id * sv1; const uint gb_off = seq_id * sb3 + t * sb2 + head_id * sb1; const FLOAT_TYPE beta_val = FLOAT_TYPE(data_beta[gb_off]); FLOAT_TYPE k_reg[ROWS_PER_LANE]; FLOAT_TYPE q_reg[ROWS_PER_LANE]; [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { const uint i = r * LANES_PER_COLUMN + lane; k_reg[r] = FLOAT_TYPE(data_k[k_off + i]); q_reg[r] = FLOAT_TYPE(data_q[q_off + i]); } FLOAT_TYPE g_exp[ROWS_PER_LANE]; if (KDA == 0) { const FLOAT_TYPE g_val = exp(FLOAT_TYPE(data_g[gb_off])); [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { g_exp[r] = g_val; } } else { const uint g_base = gb_off * S_V; [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { const uint i = r * LANES_PER_COLUMN + lane; g_exp[r] = exp(FLOAT_TYPE(data_g[g_base + i])); } } const FLOAT_TYPE v_val = FLOAT_TYPE(data_v[v_off + col]); FLOAT_TYPE kv_shard = 0.0; [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { kv_shard += g_exp[r] * s_shard[r] * k_reg[r]; } FLOAT_TYPE kv_col = reduce_partial(kv_shard); FLOAT_TYPE delta_col = (v_val - kv_col) * beta_val; FLOAT_TYPE attn_partial = 0.0; [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { s_shard[r] = g_exp[r] * s_shard[r] + k_reg[r] * delta_col; attn_partial += s_shard[r] * q_reg[r]; } FLOAT_TYPE attn_col = reduce_partial(attn_partial); if (lane == 0) { data_dst[attn_off + col] = attn_col * scale; } attn_off += S_V * H; if (K > 1u) { const int target_slot = int(n_tokens) - 1 - int(t); if (target_slot >= 0 && target_slot < int(K)) { const uint slot_base = s_off + uint(target_slot) * state_size_per_snap + state_out_base; [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { data_dst[slot_base + col * S_V + r * LANES_PER_COLUMN + lane] = s_shard[r]; } } } } if (K == 1u) { [[unroll]] for (uint r = 0; r < ROWS_PER_LANE; r++) { data_dst[s_off + state_out_base + col * S_V + r * LANES_PER_COLUMN + lane] = s_shard[r]; } } }