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new 1bf342313a [Relax][PyTorch] Delete duplicate converter function `_to`
(#17809)
1bf342313a is described below
commit 1bf342313a9395950635db56b9c387e633e8363a
Author: Masahiro Hiramori <[email protected]>
AuthorDate: Fri Apr 4 18:20:29 2025 +0900
[Relax][PyTorch] Delete duplicate converter function `_to` (#17809)
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 e79c1dbc48..0b649eb755 100644
--- a/python/tvm/relax/frontend/torch/fx_translator.py
+++ b/python/tvm/relax/frontend/torch/fx_translator.py
@@ -563,19 +563,6 @@ class TorchFXImporter(BaseFXGraphImporter):
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)
