comaniac commented on a change in pull request #9207:
URL: https://github.com/apache/tvm/pull/9207#discussion_r723643217
##########
File path: python/tvm/relay/op/strategy/generic.py
##########
@@ -715,8 +715,14 @@ def dilation2d_strategy(attrs, inputs, out_type, target):
return strategy
+def maybe_copy_tensor_b(tensor_a, tensor_b):
+ if tensor_a == tensor_b:
+ return te.compute(tensor_a.shape, lambda *ind: tensor_a[ind],
tag="tensor_b_copy")
+ return tensor_b
+
+
# matmul
-def wrap_compute_matmul(topi_compute, need_auto_scheduler_layout=False):
+def wrap_compute_matmul(topi_compute, need_auto_scheduler_layout=False,
need_tensor_b_copy=True):
Review comment:
`need_tensor_b_copy` seems a bit confusing. If tensor a and tensor b are
identical, then we could say either copy tensor a or copy tensor b. Maybe
`copy_input_if_the_same` or `copy_input_if_identical`, or
`copy_identical_input`?
##########
File path: python/tvm/relay/op/strategy/generic.py
##########
@@ -715,8 +715,14 @@ def dilation2d_strategy(attrs, inputs, out_type, target):
return strategy
+def maybe_copy_tensor_b(tensor_a, tensor_b):
Review comment:
I'm wondering if we could have a better name (with docstring) for this
utility. Something like `copy_if_identical`?
##########
File path: python/tvm/topi/cuda/batch_matmul.py
##########
@@ -93,6 +93,8 @@ def schedule_batch_matmul(cfg, outs):
def _schedule(cfg, op):
C = op.output(0)
A, B = s[C].op.input_tensors
+ if B.op.tag == "tensor_b_copy":
+ s[B].compute_inline()
Review comment:
Could we use like `B.op.input_tensors[0] == A` to judge whether it is a
copy instead of leveraging the tag? IMHO, it's safe to assume that B is a copy
of A if we can reach to A from B in batch_matmul/dense compute.
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