zsylvester
ValueError: You are trying to restore a checkpoint from a legacy Keras optimizer into a v2.11+ Optimizer, which can cause errors.
I get the following error code while using code in google collab:
ValueError: You are trying to restore a checkpoint from a legacy Keras optimizer into a v2.11+ Optimizer, which can cause errors. Please update the optimizer referenced in your code to be an instance of tf.keras.optimizers.legacy.Optimizer, e.g.: tf.keras.optimizers.legacy.Adam.
Tried both instances with no solution to the problem.
The code used is shown below:
import pandas as pd import numpy as np import matplotlib.pyplot as plt import cv2 from skimage import measure from tensorflow.keras.optimizers.legacy import Adam from tensorflow.keras.preprocessing.image import load_img from importlib import reload import segmenteverygrain as seg from tqdm import trange
import tensorflow as tf model = seg.Unet() model.compile(optimizer= "Adam", loss=seg.weighted_crossentropy, metrics=["accuracy"]) model.load_weights('./checkpoints/seg_model')
The very last line "model.load_weights" is where the error is and not sure how to approach it.
I am also getting this error and do not know how to solve it. If you figured out, can you please share with solution?
I am also getting this error and do not know how to solve it. If you figured out, can you please share with solution?
I guess this may be due to different versions of TensorFlow, but it seems that the author did not provide the TensorFlow version
Hi all, sorry for the slow response on this. I have uploaded an environment file that works for me on both Mac and Windows machines.
