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Dependency package upgrade #407

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Dependency package upgrade #407

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0e30c2e
Upgrading onnx onxrt and onnxscript
qcdipankar May 15, 2025
c7e894b
Minor updates
qcdipankar May 15, 2025
3d78714
Updating protobuff
qcdipankar May 16, 2025
36124e0
upgrading protobuff to 6.31.0
qcdipankar May 21, 2025
8ab8d78
Changes to fix CI
qcdipankar May 22, 2025
8161431
upgrading transformer to 4.51.3
qcdipankar May 23, 2025
d41e948
updating huggingface-hub ==0.30.0
qcdipankar May 23, 2025
eec0631
upgrade transformer version==4.52.3
qcdipankar May 27, 2025
a3ddf64
Cleaning done 1
qcdipankar May 27, 2025
b65bee0
Removing transformer update and huggingface hub
qcdipankar Jun 5, 2025
8a16811
cleaning done 2
qcdipankar Jun 5, 2025
d067a6c
cleaning done 3
qcdipankar Jun 6, 2025
687e6b8
Merge branch 'main' into onnx_update_pr
qcdipankar Jun 17, 2025
6abcabe
Merge branch 'main' into onnx_update_pr
qcdipankar Jun 23, 2025
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8 changes: 4 additions & 4 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -28,11 +28,11 @@ dependencies = [
"multidict==6.0.4",
"urllib3<2",
"sentencepiece==0.2.0",
"onnx==1.16.0",
"onnxruntime==1.16.3",
"onnx==1.18.0",
"onnxruntime==1.22",
"numpy==1.26.4",
"protobuf==3.20.2",
"onnxscript==0.1.0.dev20240327",
"protobuf==6.31.0",
"onnxscript==0.2.5",
"pillow===10.4.0",
"sympy",
"tensorboard",
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11 changes: 6 additions & 5 deletions tests/peft/test_peft_onnx_transforms.py
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Expand Up @@ -46,18 +46,19 @@ def test_adapter_weights_to_inputs_transform():

out_onnx, transformed = AdapterWeightsToInputsTransform.apply(test_onnx, adapter_name=adapter_name)
assert transformed

assert (
onnx.printer.to_text(out_onnx)
== textwrap.dedent("""
<
ir_version: 8,
opset_import: ["" : 17]
>
test_adapter_weights (float[n,32] input, float[32,32] layer1.weight, float[32,32] layer2.weight) => (float[n,32] output, float[32,32] layer1.weight_RetainedState, float[32,32] layer2.weight_RetainedState) {
layer1output = MatMul (input, layer1.weight)
output = MatMul (layer1output, layer2.weight)
layer1.weight_RetainedState = Identity (layer1.weight)
layer2.weight_RetainedState = Identity (layer2.weight)
test_adapter_weights (float[n,32] input, float[32,32] "layer1.weight", float[32,32] "layer2.weight") => (float[n,32] output, float[32,32] "layer1.weight_RetainedState", float[32,32] "layer2.weight_RetainedState") {
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Why these changes are done?

layer1output = MatMul (input, "layer1.weight")
output = MatMul (layer1output, "layer2.weight")
["layer1.weight_identity"] "layer1.weight_RetainedState" = Identity ("layer1.weight")
["layer2.weight_identity"] "layer2.weight_RetainedState" = Identity ("layer2.weight")
}
""").strip()
)
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