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Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,24 @@ def get_new_node_arg(i, arg, len_args):

return size_node

# def create_new_node(node):
# if not (self._node_need_rewrite(node) and last_node_axis is not None):
# # Copy other nodes to the new graph
# new_node = new_graph.node_copy(node, lambda x: val_map[x])
# try_reset_last_node_axis(node=node, new_node=new_node)
# return new_node

# new_node_args = tuple(
# get_new_node_arg(i, arg, len(node.args))
# for i, arg in enumerate(node.args)
# )

# new_node = new_graph.call_function(
# self.node_target(), args=new_node_args, kwargs=node.kwargs
# )

# return new_node

def create_new_node(node):
if not (self._node_need_rewrite(node) and last_node_axis is not None):
# Copy other nodes to the new graph
Expand All @@ -85,8 +103,22 @@ def create_new_node(node):
self.node_target(), args=new_node_args, kwargs=node.kwargs
)

static_limit = _get_static_limit(node)
if static_limit != float("inf"):
max_val = int(static_limit - 1)
new_node = new_graph.call_function(
torch.clamp, args=(new_node, 0, max_val)
)
return new_node

def _get_static_limit(node):
static_limit = float("inf")
for user in node.users:
if user.op == "call_function" and ("embedding" in str(user.target)):
indexed_dim_size = user.args[1].meta["tensor_meta"].shape[0]
static_limit = min(static_limit, indexed_dim_size)
return static_limit

for node in traced_module.graph.nodes:
val_map[node] = create_new_node(node)

Expand Down