我安装了anaconda,创建了一个全新的环境,并通过pip安装了tensorflow。然后我试了一下:
import tensorflow as tf
tf.keras.applications.ResNet152V2(
include_top=True,
weights="imagenet",
input_tensor=None,
input_shape=None,
pooling=None,
classes=1000,
classifier_activation="softmax",
)
我直接得到了:
TypeError: Couldn't build proto file into descriptor pool!
Invalid proto descriptor for file "tensorflow/python/framework/cpp_shape_inference.proto":
tensorflow.CppShapeInferenceResult.HandleShapeAndType.specialized_type: ".tensorflow.SpecializedType" is not defined.
我做错了什么?
发布于 2021-09-07 02:48:33
代码在Google_colab上运行得很好
import tensorflow as tf
tf.keras.applications.resnet_v2.ResNet152V2(
include_top=True, weights='imagenet', input_tensor=None,
input_shape=None, pooling=None, classes=1000,
classifier_activation='softmax'
)输出
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet152v2_weights_tf_dim_ordering_tf_kernels.h5
242753536/242745792 [==============================] - 3s 0us/step
242761728/242745792 [==============================] - 3s 0us/step
<keras.engine.functional.Functional at 0x7faf1736c210>
问题与Protobuf不饱和有关
pip uninstall protobuf
pip install --no-binary protobuf protobuf
https://stackoverflow.com/questions/68952308
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