关于“Vertex SDK: Custom Training Tabular Regression Models for Online Prediction and Explainability”的评价

Rommy C. · 评论almost 3 years之前

import tensorflow as tf local_model = tf.keras.models.load_model(MODEL_DIR) TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

Nick S. · 评论almost 3 years之前

Example does not work :(

ŁUKASZ M. · 评论almost 3 years之前

Vincenzo D. · 评论almost 3 years之前

k

Pabitra S. · 评论almost 3 years之前

Abhishek1 G. · 评论almost 3 years之前

Maks S. · 评论almost 3 years之前

Nicolas Alejandro L. · 评论almost 3 years之前

error to import tensorflow as tf

Magda M. · 评论almost 3 years之前

Sergii K. · 评论almost 3 years之前

Kernel dies

David G. · 评论almost 3 years之前

Skandarajan R. · 评论almost 3 years之前

Bruno B. · 评论almost 3 years之前

getting error: TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

sunny s. · 评论almost 3 years之前

Sergazy N. · 评论almost 3 years之前

Matías M. · 评论almost 3 years之前

broken. need to downgrade the protobuf package otherwise the lab doesn't run. pip install 'protobuf<=3.20.1' --force-reinstall (requires kernel restart)

Aurélien-Morgan C. · 评论almost 3 years之前

Henrik T. · 评论almost 3 years之前

James V. · 评论almost 3 years之前

TypeError: Descriptors cannot not be created directly. If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0. If you cannot immediately regenerate your protos, some other possible workarounds are: 1. Downgrade the protobuf package to 3.20.x or lower. 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower). More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates

Laurent P. · 评论almost 3 years之前

Eugene L. · 评论almost 3 years之前

Sanzhar M. · 评论almost 3 years之前

Prashanth N. · 评论almost 3 years之前

Sharick M. · 评论almost 3 years之前

Pongthorn S. · 评论almost 3 years之前