forked from OSSInnovation/mindspore
!4697 freeze_bn should be int
Merge pull request !4697 from chenfei_mindspore/master
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@ -476,7 +476,7 @@ def export(network, *inputs, file_name, mean=127.5, std_dev=127.5, file_format='
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def convert_quant_network(network,
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bn_fold=True,
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freeze_bn=1e7,
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freeze_bn=10000000,
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quant_delay=(0, 0),
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num_bits=(8, 8),
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per_channel=(False, False),
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@ -50,7 +50,8 @@ if __name__ == "__main__":
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# define fusion network
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network = LeNet5Fusion(cfg.num_classes)
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# convert fusion network to quantization aware network
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network = quant.convert_quant_network(network, quant_delay=0, bn_fold=False, freeze_bn=10000)
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network = quant.convert_quant_network(network, quant_delay=0, bn_fold=False, freeze_bn=10000,
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per_channel=[True, False])
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# define loss
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net_loss = nn.SoftmaxCrossEntropyWithLogits(is_grad=False, sparse=True, reduction="mean")
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