model.py

import jittor as jt
from jittor import nn, Module
import numpy as np
import sys, os
import random
import math
from jittor import init


class Model(Module):

    def __init__(self):
        super(Model, self).__init__()
        # no padding
        self.conv1 = nn.Conv(3, 32, 3, 1)
        self.conv2 = nn.Conv(32, 64, 3, 1)
        self.bn = nn.BatchNorm(64)

        self.max_pool = nn.Pool(2, 2)
        self.relu = nn.Relu()
        self.fc1 = nn.Linear(64 * 12 * 12, 256)
        self.fc2 = nn.Linear(256, 10)

    def execute(self, x):
        x = self.conv1(x)
        x = self.relu(x)

        x = self.conv2(x)
        x = self.bn(x)
        x = self.relu(x)

        x = self.max_pool(x)
        x = jt.reshape(x, [x.shape[0], -1])
        x = self.fc1(x)
        x = self.relu(x)
        x = self.fc2(x)

        return x