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15 changes: 11 additions & 4 deletions vllm/attention/ops/triton_decode_attention.py
Original file line number Diff line number Diff line change
Expand Up @@ -179,6 +179,9 @@ def _decode_att_m_fwd(
logit_cap,
):
BLOCK = 64
if is_hip_:
BLOCK = 8

Comment on lines 181 to +184
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Suggested change
BLOCK = 64
if is_hip_:
BLOCK = 8
BLOCK = 64 if not is_hip_ else 8

NUM_KV_SPLITS = num_kv_splits
Lk = k_buffer.shape[-1]
Lv = v_buffer.shape[-1]
Expand All @@ -188,7 +191,9 @@ def _decode_att_m_fwd(
grid = (batch, head_num, NUM_KV_SPLITS)
kv_group_num = q.shape[1] // k_buffer.shape[-2]

num_warps = 4 if kv_group_num == 1 else 2
num_warps = 4
if kv_group_num != 1:
num_warps = 2 if not is_hip_ else 1

BLOCK_DMODEL = triton.next_power_of_2(Lk)
BLOCK_DV = triton.next_power_of_2(Lv)
Expand Down Expand Up @@ -418,14 +423,16 @@ def _decode_grouped_att_m_fwd(
)

extra_kargs = {}
num_stages = 2
if is_hip_:
# https://rocm.docs.amd.com/en/docs-6.2.0/how-to/llm-fine-tuning-optimization/optimizing-triton-kernel.html
# https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference-optimization/workload.html#triton-kernel-performance-optimization
# https://github.com/triton-lang/triton/blob/main/third_party/amd/backend/compiler.py
extra_kargs = {
"waves_per_eu": 4,
"waves_per_eu": 1,
"matrix_instr_nonkdim": 16,
"kpack": 2
}
num_stages = 1

_fwd_grouped_kernel_stage1[grid](
q,
Expand Down Expand Up @@ -456,7 +463,7 @@ def _decode_grouped_att_m_fwd(
PAGE_SIZE=page_size,
logit_cap=logit_cap,
num_warps=4,
num_stages=2,
num_stages=num_stages,
Lk=Lk,
Lv=Lv,
**extra_kargs,
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,128 @@
{
"1": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 32,
"BLOCK_SIZE_K": 256,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2,
"waves_per_eu": 0
},
"2": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 16,
"BLOCK_SIZE_K": 256,
"GROUP_SIZE_M": 1,
"num_warps": 2,
"num_stages": 2,
"waves_per_eu": 0
},
"4": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 256,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2,
"waves_per_eu": 0
},
"8": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2,
"waves_per_eu": 0
},
"16": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 4,
"num_warps": 2,
"num_stages": 2,
"waves_per_eu": 0
},
"24": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 128,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 4,
"num_stages": 2,
"waves_per_eu": 0
},
"32": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 4,
"num_warps": 2,
"num_stages": 2,
"waves_per_eu": 0
},
"48": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 4,
"num_warps": 2,
"num_stages": 2,
"waves_per_eu": 0
},
"64": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 1,
"num_warps": 2,
"num_stages": 2,
"waves_per_eu": 0
},
"96": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 4,
"num_warps": 4,
"num_stages": 2,
"waves_per_eu": 0
},
"128": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 256,
"GROUP_SIZE_M": 1,
"num_warps": 2,
"num_stages": 2,
"waves_per_eu": 0
},
"256": {
"BLOCK_SIZE_M": 16,
"BLOCK_SIZE_N": 64,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 4,
"num_warps": 4,
"num_stages": 2,
"waves_per_eu": 0
},
"512": {
"BLOCK_SIZE_M": 32,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 8,
"num_warps": 8,
"num_stages": 2,
"waves_per_eu": 0
},
"1024": {
"BLOCK_SIZE_M": 64,
"BLOCK_SIZE_N": 256,
"BLOCK_SIZE_K": 128,
"GROUP_SIZE_M": 8,
"num_warps": 8,
"num_stages": 2,
"waves_per_eu": 0
}
}