app.py

from moe import MoE
import torch

# instantiate the MoE layer
model = MoE(input_size=1000, output_size=20, num_experts=10,hidden_size=66, k= 4, noisy_gating=True)

X = torch.rand(32, 1000)

#train
model.train()
# forward
y_hat, aux_loss = model(X)

# evaluation

model.eval()
y_hat, aux_loss = model(X)