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Turn onnx functions into static (#147598)

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To avoid exposing ONNX symbols.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/147598
Approved by: https://github.com/justinchuby
This commit is contained in:
cyy 2025-02-21 07:40:28 +00:00 committed by PyTorch MergeBot
parent 3395da7f7c
commit b61a556427
1 changed files with 2 additions and 2 deletions
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4
torch/csrc/jit/serialization/export.cpp
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@ -414,7 +414,7 @@ class GraphEncoder {
static constexpr size_t ParamSizeThresholdForExternalStorage = 1024;
};
onnx::TensorProto_DataType ATenTypeToOnnxType(at::ScalarType at_type) {
static onnx::TensorProto_DataType ATenTypeToOnnxType(at::ScalarType at_type) {
switch (at_type) {
case at::kDouble:
return onnx::TensorProto_DataType_DOUBLE;
@ -459,7 +459,7 @@ onnx::TensorProto_DataType ATenTypeToOnnxType(at::ScalarType at_type) {
}
}
onnx::AttributeProto_AttributeType ATenAttributeKindToOnnxAttributeType(
static onnx::AttributeProto_AttributeType ATenAttributeKindToOnnxAttributeType(
AttributeKind at_kind,
const jit::Symbol name) {
switch (at_kind) {