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[FxImporter] Fix embedding bag (#3387)

pull/3386/head
penguin_wwy 2024-05-29 14:46:21 +08:00 committed by GitHub
parent e0a5adb1db
commit a5d3b546f8
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2 changed files with 15 additions and 2 deletions
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2
projects/pt1/e2e_testing/xfail_sets.py
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@ -336,8 +336,6 @@ FX_IMPORTER_XFAIL_SET = {
"AnyBoolFalseModule_basic",
"AnyBoolTrueModule_basic",
"ArangeStartOutViewModule_basic",
"AtenEmbeddingBagStaticModule_basic",
"AtenEmbeddingBagSumExample_basic",
"AtenFloatScalarModule_basic",
"AtenIntBoolOpConstFalseModule_basic",
"AtenIntBoolOpConstTrueModule_basic",

15
python/torch_mlir/extras/fx_importer.py
View File

@ -1446,6 +1446,21 @@ class GraphNodeImporter:
return
elif target == torch.ops.aten._unsafe_index_put.default:
node.target = target = torch.ops.aten._unsafe_index_put.hacked_twin
elif target == torch.ops.aten._embedding_bag_forward_only.default:
node.target = target = torch.ops.aten.embedding_bag.padding_idx
embedding_bag_args = [
("scale_grad_by_freq", False),
("mode", 0),
("sparse", False),
("per_sample_weights", None),
("include_last_offset", False),
("padding_idx", None),
]
node_kwargs = dict(node.kwargs)
for k, v in embedding_bag_args[len(node.args) - 3 :]:
if k not in node_kwargs:
node_kwargs[k] = v
node.kwargs = node_kwargs
schema = target._schema
assert isinstance(schema, FunctionSchema)