From 29d9e4e52937358d1df9f2f36e5079ea3aceaba6 Mon Sep 17 00:00:00 2001 From: Masahiro Hiramori Date: Fri, 4 Apr 2025 13:27:57 +0900 Subject: [PATCH] remove duplicate function --- python/tvm/relax/frontend/torch/fx_translator.py | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/python/tvm/relax/frontend/torch/fx_translator.py b/python/tvm/relax/frontend/torch/fx_translator.py index e79c1dbc48fa..0b649eb75588 100644 --- a/python/tvm/relax/frontend/torch/fx_translator.py +++ b/python/tvm/relax/frontend/torch/fx_translator.py @@ -563,19 +563,6 @@ def _is_floating_point(self, node: fx.Node) -> relax.Var: x.struct_info.dtype in ["float16", "float32", "float64", "bfloat16"], "bool" ) - def _to(self, node: fx.Node) -> relax.Var: - import torch - - x = self.env[node.args[0]] - if len(node.args) == 2: - if isinstance(node.args[1], torch.dtype): - dtype = TorchFXImporter._convert_data_type(node.args[1], self.env) - return self.block_builder.emit(relax.op.astype(x, dtype)) - elif "dtype" in node.kwargs: - dtype = TorchFXImporter._convert_data_type(node.kwargs["dtype"], self.env) - return self.block_builder.emit(relax.op.astype(x, dtype)) - return x - def _type(self, node: fx.Node) -> relax.Var: x = self.env[node.args[0]] dtype = TorchFXImporter._convert_data_type(node.args[1], self.env)