TypeError: can't pickle _thread.RLock objects while running .fit() on RandomizedSearchCV

I'm trying to run the model on RandomizedSearchCV to get the best hyper parameters

model = keras.models.Sequential([keras.layers.Dense(300, input_dim=7500, activation="relu"),
                                 keras.layers.Dense(300, activation = "relu", name = "Intermediate"),
                                 keras.layers.Dense(100, activation = "relu"),
                                 keras.layers.Dense(4, activation="softmax")])

keras_cls = keras.wrappers.scikit_learn.KerasClassifier(model)
    
    
param_distribs = {
    "n_hidden": [0, 1, 2, 3],
    "n_neurons": np.arange(1, 300),
    "learning_rate": 1e-3
}

rnd_search_cv = RandomizedSearchCV(keras_cls, param_distribs, n_iter=10, cv=3)
rnd_search_cv.fit(x_train, y_train, epochs=30,
                  validation_data=(x_test, y_test),
                  callbacks=[keras.callbacks.EarlyStopping(patience=10)])

at rmd_search_cv.fit I'm getting the error TypeError: can't pickle _thread.RLock objects

What should be done to correct the error?