def __init__(self):
super(QuantLeNetIAO, self).__init__()
self.conv1 = quant_conv_iao(1, 10, kernel_size=5)
self.conv2 = quant_conv_iao(10, 20, kernel_size=5)
self.fc1 = quant_linear_iao(320, 50)
self.fc2 = quant_linear_iao(50, 10)
self.max_pool = quant_max_pool_iao(kernel_size=2)
self.relu = nn.ReLU(inplace=True)
def __init__(self):
super(QuantLeNetIAO, self).__init__()
self.conv1 = quant_conv_iao(1, 10, kernel_size=5, device='cpu')
self.conv2 = quant_conv_iao(10, 20, kernel_size=5, device='cpu')
self.fc1 = quant_linear_iao(320, 50, device='cpu')
self.fc2 = quant_linear_iao(50, 10, device='cpu')