Has the "ConvNeXt" family of models been removed from Keras?-CodePudding

When trying to use the ConvNeXtTiny model from Keras, I get the following error: AttributeError: module 'keras.applications' has no attribute 'ConvNeXtTiny'

filename = "ConvNextTiny_firstpass_model"

# layer construction
base_model = applications.ConvNeXtTiny( #preproccing included
    input_shape=(targetWidth, targetHeight, 3),
    include_top=False,
)
base_model.trainable = False

flatten_layer = layers.Flatten()
fc_layer = layers.Dense(1024, activation='relu')
dropout_layer = layers.Dropout(0.3) 

#layer connecting
x = flip_layer(input_layer)
x = base_model(x, training=False)
x = flatten_layer(x)
x = fc_layer(x)
x = dropout_layer(x)
predictions = output_layer(x)
model = keras.Model(input_layer, predictions)

Here are my imports:

import tensorflow as tf
import keras 
from keras import layers
from keras import optimizers
from keras import applications
from keras import losses
from keras import callbacks
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
import cv2 as cv
import csv
from sklearn.utils import shuffle

Possibly relevant versioning:

ipython==8.5.0
tensorflow==2.10.0
keras==2.10.0
Keras-Preprocessing==1.1.2
pandas==1.4.4
numpy==1.23.3
matplotlib==3.6.0
opencv-python==4.6.0.66
sklearn==0.0

CodePudding user response：

The previous imports placed above the convnext import were causing issues.

Moving from tensorflow.keras.applications import convnext to the top of all the imports allowed it to import properly.