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Ignore import erros in onnx adaround #2514

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merged 2 commits into from
Oct 18, 2023
Merged

Ignore import erros in onnx adaround #2514

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db36335
Ignore import erros in onnx adaround
quic-shathwar Oct 17, 2023
71a6485
Add pylint disable
quic-klhsieh Oct 18, 2023
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1 change: 1 addition & 0 deletions TrainingExtensions/onnx/src/python/aimet_onnx/adaround/adaround_optimizer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,7 @@
from aimet_onnx.quantsim import QuantizationSimModel
from aimet_onnx.adaround.utils import ModuleInfo, read_attributes_for_op
from aimet_onnx.utils import create_input_dict
# pylint: disable=import-error
from aimet_torch.adaround.adaround_loss import AdaroundLoss, AdaroundHyperParameters
from aimet_torch.adaround.adaround_tensor_quantizer import AdaroundTensorQuantizer
from aimet_torch.adaround.adaround_optimizer import AdaroundOptimizer as TorchAdaroundOptimizer
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2 changes: 1 addition & 1 deletion TrainingExtensions/torch/src/python/aimet_torch/quantsim.py
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Expand Up @@ -138,7 +138,7 @@ class QuantizationSimModel:
inference accuracy. Also allows the model to be fine-tuned to counter the effects of quantization.
"""

# pylint: disable=too-many-arguments, too-many-instance-attributes, too-many-locals
# pylint: disable=too-many-arguments, too-many-instance-attributes, too-many-locals, too-many-public-methods
def __init__(self, model: torch.nn.Module, dummy_input: Union[torch.Tensor, Tuple],
quant_scheme: Union[str, QuantScheme] = QuantScheme.post_training_tf_enhanced,
rounding_mode: str = 'nearest', default_output_bw: int = 8, default_param_bw: int = 8,
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