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Fix DORT CI according to torch-nightly changes #2125

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Merged
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Mar 24, 2025
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Fix DORT CI according to torch-nightly changes #2125

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11 changes: 4 additions & 7 deletions onnxscript/tools/training_helper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,16 +3,13 @@
# Licensed under the MIT License.
# --------------------------------------------------------------------------
import torch
from torch.onnx import ExportOptions
from torch.onnx import _OrtBackend as OrtBackend
from torch.onnx import _OrtBackendOptions as OrtBackendOptions
from torch.onnx import _OrtBackend, _OrtBackendOptions


def make_aot_ort(dynamic: bool = False):
def make_aot_ort():
"""Implements an autograd backend for torch.compile based on onnxrt backend."""
export_options = ExportOptions(dynamic_shapes=dynamic)
options = OrtBackendOptions(export_options=export_options)
ort_backend = OrtBackend(options=options)
options = _OrtBackendOptions()
ort_backend = _OrtBackend(options=options)
return ort_backend


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2 changes: 1 addition & 1 deletion onnxscript/tools/transformers_models/phi_test.py
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Expand Up @@ -89,7 +89,7 @@ def test_phi_dort_static(self):
input_tensors = input_tensors_many[0]
expected = model(*input_tensors)

local_aot_ort = onnxscript.tools.training_helper.make_aot_ort(dynamic=False)
local_aot_ort = onnxscript.tools.training_helper.make_aot_ort()

compiled_model = torch.compile(
copy.deepcopy(model),
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