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Commit 55beffa0 authored by Yifan Zhao's avatar Yifan Zhao
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Batch size

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hpvm/test/epoch_dnn/torch_dnn/quantizer.py
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...@@ -40,10 +40,11 @@ def quantize( ...@@ -40,10 +40,11 @@ def quantize(
strat: str = "NONE", strat: str = "NONE",
working_dir: PathLike = ".", working_dir: PathLike = ".",
output_name: str = "calib.txt", output_name: str = "calib.txt",
eval_batchsize: int = 128
): ):
# possible quant strats ['NONE', 'AVG', 'N_STD', 'GAUSS', 'LAPLACE'] # possible quant strats ['NONE', 'AVG', 'N_STD', 'GAUSS', 'LAPLACE']
print("Quantizing...") print("Quantizing...")
dataloader = DataLoader(dataset, batch_size=1) dataloader = DataLoader(dataset, batch_size=eval_batchsize)
# Collect Pre Quantization Stats # Collect Pre Quantization Stats
distiller.utils.assign_layer_fq_names(model) distiller.utils.assign_layer_fq_names(model)
......
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