def print_inst(self):
print 'net parameters: \ntype: mlp'
print 'scales:',
self.config.input_dim.print_info()
print '-->',
self.config.output_dim.print_info()
print '\nw:',
self.config.weight_dim.print_info()
print '\nb:',
self.config.bias_dim.print_info()
print '\n'
InstTemplate.printInstInfo(self)
def __init__(self, layer):
InstTemplate.__init__(self)
self.config = layer
self.out_inst_num = InstTemplate.mod(self, layer.output_dim.channel_, self.Tn)
self.in_inst_num = InstTemplate.mod(self, layer.input_dim.channel_, self.sram_size)
self.inst_number = self.out_inst_num * self.in_inst_num
self.input_size_list = InstTemplate.token_size(self, layer.input_dim.channel_ * 2, self.sram_size * 2)
self.output_size_list = InstTemplate.token_size(self, layer.output_dim.channel_ * 2, self.Tn * 2)
self.weight_size_list = []
for y in xrange(self.in_inst_num):
for x in xrange(self.out_inst_num):
self.weight_size_list.append(self.input_size_list[y] * self.output_size_list[x] / 2)
self.bias_size_list = self.output_size_list
# address
self.weight_addr_list = self.compute_addrs(layer.w_addr_base, self.weight_size_list)
self.bias_addr_list = self.compute_addrs(layer.b_addr_base, self.bias_size_list)
self.input_addr_list = self.compute_addrs(layer.input_addr_base, self.input_size_list)
self.output_addr_list = self.compute_addrs(layer.output_addr_base, self.output_size_list)
self.output_sram_addr_list = self.compute_addrs(0, self.output_size_list)
