ut0 with switch_op None
ut0 with switch_op None
ut0 - conv2d_24/Conv2D:in1 skip conv2d_24/Conv2D/ReadVariableOp
ut0 - batch_normalization_8/cond/FusedBatchNormV3_1:in4 skip batch_normalization_8/cond/FusedBatchNormV3_1/ReadVariableOp_1
ut0 - batch_normalization_28/cond/FusedBatchNormV3_1:in1 skip batch_normalization_28/cond/ReadVariableOp_2
ut0 - conv2d_87/Conv2D:in1 skip conv2d_87/Conv2D/ReadVariableOp
ut0 - conv2d_69/Conv2D:in1 skip conv2d_69/Conv2D/ReadVariableOp
ut0 - dense_1/MatMul:in1 skip dense_1/MatMul/ReadVariableOp
ut0 - batch_normalization_100/cond/FusedBatchNormV3_1:in1 skip batch_normalization_100/cond/ReadVariableOp_2
ut0 - batch_normalization_13/cond/FusedBatchNormV3_1:in4 skip batch_normalization_13/cond/FusedBatchNormV3_1/ReadVariableOp_1jefferyzhang 发表于 2019-10-30 14:42
W Not match node batch_normalization_121/cond/FusedBatchNormV3_1 FusedBatchNormV3
OP不支持
jefferyzhang 发表于 2019-10-30 14:42
W Not match node batch_normalization_121/cond/FusedBatchNormV3_1 FusedBatchNormV3
OP不支持
farces 发表于 2019-10-30 15:30
是不支持batch_normalization批归一化吗?四个网络的这个操作都不支持?
farces 发表于 2019-10-30 15:02
Keras支持 SqueezeNet,ResNet,InceptionV3 和 DenseNet等四个网络,上边的报错是DenseNet的,请问另外 ...
jefferyzhang 发表于 2019-10-30 15:40
SqueezeNet、DenseNet 我没转过,你要试试
ResNet,InceptionV3 都是转过OK的。
jefferyzhang 发表于 2019-10-30 15:40
SqueezeNet、DenseNet 我没转过,你要试试
ResNet,InceptionV3 都是转过OK的。
farces 发表于 2019-10-31 16:29
"ResNet,InceptionV3 都是转过OK的"
确认下这两个网络训练和转换用的tensorflow的版本是哪个?我们用的1 ...
跟版本无关的,只要pb文件格式没变,用哪个tf版本生成出来都一样。jefferyzhang 发表于 2019-10-31 16:33
跟版本无关的,只要pb文件格式没变,用哪个tf版本生成出来都一样。
倒是rknntoolkit版本最好升级 ...
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