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fix bug of freeze_bn default value

This commit is contained in:
chenfei 2020-08-18 22:42:18 +08:00
parent e9eee16e46
commit 9a12fab404
2 changed files with 3 additions and 2 deletions
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2
mindspore/train/quant/quant.py
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@ -476,7 +476,7 @@ def export(network, *inputs, file_name, mean=127.5, std_dev=127.5, file_format='
def convert_quant_network(network,
bn_fold=True,
freeze_bn=1e7,
freeze_bn=10000000,
quant_delay=(0, 0),
num_bits=(8, 8),
per_channel=(False, False),

3
model_zoo/official/cv/lenet_quant/eval_quant.py
View File

@ -50,7 +50,8 @@ if __name__ == "__main__":
# define fusion network
network = LeNet5Fusion(cfg.num_classes)
# convert fusion network to quantization aware network
network = quant.convert_quant_network(network, quant_delay=0, bn_fold=False, freeze_bn=10000)
network = quant.convert_quant_network(network, quant_delay=0, bn_fold=False, freeze_bn=10000,
per_channel=[True, False])
# define loss
net_loss = nn.SoftmaxCrossEntropyWithLogits(is_grad=False, sparse=True, reduction="mean")