conditg

import numpy as np 
from scipy.special import expit as sigmoid
import torch
from torch import nn


def forget_gate(x, h, Weights_hf, Bias_hf, Weights_xf, Bias_xf, prev_cell_state):
    forget_hidden  = np.dot(Weights_hf, h) + Bias_hf
    forget_eventx  = np.dot(Weights_xf, x) + Bias_xf
    return np.multiply( sigmoid(forget_hidden + forget_eventx), prev_cell_state )