我使用tensorflow 1.14.1和keras函数API,并且我需要在我的网络的解码器部分的末尾进行插值。运行以下代码后,出现错误:
conv_layer = Conv2D(32, (3, 3), padding='same', data_format='channels_first')(bn_pre)
act_layer = LeakyReLU()(conv_layer)
prm_layer = Permute((2, 3, 1))(act_layer)
ld1_layer = Lambda(lambda x: tf.image.resize(x, [384, 384]))(prm_layer)
prm2_layer = Permute((3, 1, 2))(ld1_layer)
bn12_layer = BatchNormalization(axis=1, scale=False)(prm2_layer)错误是:
W0116 17:40:42.326339 139793502861056 ops.py:465] Tensor._shape is private, use Tensor.shape instead.
Tensor._shape will eventually be removed.
W0116 17:40:42.330794 139793502861056 ops.py:465] Tensor._shape is private, use Tensor.shape instead.
Tensor._shape will eventually be removed.tensor._shape在哪里被调用?我应该关心这个警告吗?我该如何修复它呢?
发布于 2020-01-17 00:52:38
可能是调试器的问题。你不需要太在意。检查this
https://stackoverflow.com/questions/59774336
复制相似问题