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Run test_models.sh with strict=False flag #12368

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3 changes: 1 addition & 2 deletions .ci/scripts/test_model.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -91,11 +91,10 @@ test_model() {
run_portable_executor_runner
rm "./${MODEL_NAME}.pte"
fi
STRICT="--strict"
STRICT="--no-strict"
if [[ "${MODEL_NAME}" == "llava" ]]; then
# Install requirements for llava
bash examples/models/llava/install_requirements.sh
STRICT="--no-strict"
fi
if [[ "${MODEL_NAME}" == "qwen2_5" ]]; then
# Install requirements for export_llama
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4 changes: 2 additions & 2 deletions examples/xnnpack/aot_compiler.py
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Expand Up @@ -87,14 +87,14 @@

model = model.eval()
# pre-autograd export. eventually this will become torch.export
ep = torch.export.export_for_training(model, example_inputs, strict=True)
ep = torch.export.export_for_training(model, example_inputs, strict=False)
model = ep.module()

if args.quantize:
logging.info("Quantizing Model...")
# TODO(T165162973): This pass shall eventually be folded into quantizer
model = quantize(model, example_inputs, quant_type)
ep = torch.export.export_for_training(model, example_inputs, strict=True)
ep = torch.export.export_for_training(model, example_inputs, strict=False)

edge = to_edge_transform_and_lower(
ep,
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