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[Dlight] Fix GeMV shared memory estimation #16731

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Mar 16, 2024
Merged

[Dlight] Fix GeMV shared memory estimation #16731

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18 changes: 15 additions & 3 deletions python/tvm/dlight/gpu/gemv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -244,6 +244,7 @@ def apply(
LOAD_V_SHARED,
LOAD_V_VEC,
UNROLL,
SUPPORT_WARP_SHUFFLE,
):
# rfactor: reduce to tx * vec_c
_, s, r, c = sch.get_loops(block=gemv)
Expand Down Expand Up @@ -273,10 +274,17 @@ def apply(

shared_mem_usage = 0
for buf in vector_input_buffers:
buf_size = reduce(
lambda x, y: x * y, buf.shape, tir.IntImm(buf.shape[0].dtype, 1)
) * get_bytes(buf.dtype)
dtype_bytes = get_bytes(buf.dtype)
buf_size = (
reduce(lambda x, y: x * y, buf.shape, tir.IntImm(buf.shape[0].dtype, 1))
* dtype_bytes
)
shared_mem_usage += buf_size
if not SUPPORT_WARP_SHUFFLE:
# When warp shuffle is not able, cross-thread allreduce
# is implemented with shared memory.
shared_mem_usage += TS * TR * dtype_bytes

LOAD_V_SHARED = (
LOAD_V_SHARED
and isinstance(shared_mem_usage, tir.IntImm)
Expand Down Expand Up @@ -421,11 +429,13 @@ def apply(
len_R = len_r * len_c

TAG_S, TAG_R = "threadIdx.y", "threadIdx.x"
SUPPORT_WARP_SHUFFLE = False
if target.kind.name == "cuda":
VEC_C = 4
LOAD_V_SHARED = True
LOAD_V_VEC = 8
UNROLL = 256
SUPPORT_WARP_SHUFFLE = True
if isinstance(len_S, int):
if len_S > len_R:
TS, TR = 4, 64
Expand All @@ -438,6 +448,7 @@ def apply(
LOAD_V_SHARED = False
LOAD_V_VEC = -1
UNROLL = 256
SUPPORT_WARP_SHUFFLE = True
if isinstance(len_S, int):
if len_S > len_R:
TS, TR = 4, 16
Expand Down Expand Up @@ -515,6 +526,7 @@ def apply(
LOAD_V_SHARED=LOAD_V_SHARED,
LOAD_V_VEC=LOAD_V_VEC,
UNROLL=UNROLL,
SUPPORT_WARP_SHUFFLE=SUPPORT_WARP_SHUFFLE,
)

def sch_outer_reduction( # pylint: disable=too-many-arguments, invalid-name, unused-argument
Expand Down
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