def __init__(self):
super(QuantLeNetDoReFa, self).__init__()
self.conv1 = quant_conv_dorefa(1, 10, kernel_size=5)
self.conv2 = quant_conv_dorefa(10, 20, kernel_size=5)
self.fc1 = quant_linear_dorefa(320, 50)
self.fc2 = quant_linear_dorefa(50, 10)
self.max_pool = nn.MaxPool2d(kernel_size=2)
self.relu = nn.ReLU(inplace=True)
def __init__(self):
super(QuantLeNetDoReFa, self).__init__()
self.conv1 = quant_conv_dorefa(1, 10, kernel_size=5)
self.conv2 = quant_conv_dorefa(10, 20, kernel_size=5)
self.fc1 = quant_linear_dorefa(320, 50)
self.fc2 = quant_linear_dorefa(50, 10)
