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fix bugs: fixed calib_steps #42

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merged 1 commit into from
Mar 30, 2022
Merged

fix bugs: fixed calib_steps #42

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4 changes: 2 additions & 2 deletions Util.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,14 +72,14 @@ def load_calibration_dataset(directory: str, input_shape: List[int], batchsize:

def quantize(working_directory: str, setting: QuantizationSetting, model_type: NetworkFramework,
executing_device: str, input_shape: List[int], target_platform: TargetPlatform,
dataloader: DataLoader, calib_steps: int =32) -> BaseGraph:
dataloader: DataLoader, calib_steps: int=32) -> BaseGraph:
if model_type == NetworkFramework.ONNX:
if not os.path.exists(os.path.join(working_directory, 'model.onnx')):
raise FileNotFoundError(f'无法找到你的模型: {os.path.join(working_directory, "model.onnx")}，'
'如果你使用caffe的模型，请设置MODEL_TYPE为CAFFE')
return quantize_onnx_model(
onnx_import_file=os.path.join(working_directory, 'model.onnx'),
calib_dataloader=dataloader, calib_steps=32, input_shape=input_shape, setting=setting,
calib_dataloader=dataloader, calib_steps=calib_steps, input_shape=input_shape, setting=setting,
platform=target_platform, device=executing_device, collate_fn=lambda x: x.to(executing_device)
)
if model_type == NetworkFramework.CAFFE:
Expand Down