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1 change: 1 addition & 0 deletions python/tvm/relay/op/_tensor.py
Original file line number Diff line number Diff line change
Expand Up @@ -276,3 +276,4 @@ def elemwise_shape_func(attrs, inputs, _):
register_shape_func("clip", False, elemwise_shape_func)
register_shape_func("log2", False, elemwise_shape_func)
register_shape_func("sigmoid", False, elemwise_shape_func)
register_shape_func("tanh", False, elemwise_shape_func)
25 changes: 19 additions & 6 deletions python/tvm/topi/cuda/dense.py
Original file line number Diff line number Diff line change
Expand Up @@ -77,13 +77,26 @@ def _callback(op):


def _schedule_dense_small_batch(cfg, s, C):
A, _ = C.op.input_tensors
_, in_dim = get_const_tuple(A.shape)
cfg.define_split("tile_k", in_dim, num_outputs=2)
if cfg.is_fallback:
cfg["tile_k"] = SplitEntity([-1, 64] if in_dim > 64 else [1, 64])
A, weights = C.op.input_tensors
_, in_dim_weights = get_const_tuple(weights.shape)
_, in_dim_A = get_const_tuple(A.shape)

if isinstance(in_dim_A, int):
in_dim = in_dim_A
elif isinstance(in_dim_weights, int):
in_dim = in_dim_weights
else:
in_dim = None

if in_dim is not None:
cfg.define_split("tile_k", in_dim, num_outputs=2)
if cfg.is_fallback:
cfg["tile_k"] = SplitEntity([-1, 64] if in_dim > 64 else [1, 64])
_, kf = cfg["tile_k"].apply(s, C, C.op.reduce_axis[0])
else:
tile_k = 64
_, kf = s[C].split(C.op.reduce_axis[0], tile_k)

_, kf = cfg["tile_k"].apply(s, C, C.op.reduce_axis[0])
CF = s.rfactor(C, kf)

if C.op in s.outputs:
Expand Down