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[Relax][PyTorch][Bugfix] Update layer_norm converter to support immutable_list for normalized_shape #17330

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Merged
merged 1 commit into from
Sep 4, 2024
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[Relax][PyTorch][Bugfix] Update layer_norm converter to support immutable_list for normalized_shape #17330

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5 changes: 3 additions & 2 deletions python/tvm/relax/frontend/torch/fx_translator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1069,6 +1069,7 @@ def _batch_norm_2d(self, node: fx.node.Node) -> relax.Var:

def _layer_norm(self, node: fx.node.Node) -> relax.Var:
import torch # type: ignore
from torch.fx.immutable_collections import immutable_list
import numpy as np # type: ignore

x = self.env[node.args[0]]
Expand All @@ -1077,8 +1078,8 @@ def _layer_norm(self, node: fx.node.Node) -> relax.Var:
if node.target not in self.named_modules:
# static or symbolic
arg = node.args[1]
if isinstance(arg, tuple):
value = arg
if isinstance(arg, (immutable_list, tuple)):
value = tuple(arg)
else:
try:
value = self.env[arg]
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