input_num = 1
input_size = [1, H[layer][2]]
#################
# 最后评估一下整个系统的DDR读写负荷
print(
"\n\nDDR-READ = %d, DDR_WRITE=%d, \nTOTAL-TIME[estimated in 50 MHz]=%f ms"
% (DDR_READ, DDR_WRITE, (DDR_READ + DDR_WRITE) / 50e6 * 1e3))
return dict_para, inst_set
#########################################
# 测试用
if __name__ == '__main__':
#%% 用H表征网络结构，P来表征参数，用D来表征数据
H = gen_cnn.generate_cnn()
para_dict, inst_set = generate_npu_inst(H)
#print(inst_set)
# 将指令保存到c_api文件中
fp = open("./c_api/inst.txt", "w")
for i in range(0, len(inst_set)):
fp.write("%s\n" % (inst_set[i]))
fp.close()
# 参数所在的位置是
# 创建一个内存初始化文件
fp = open("./c_api/para.txt", "w")
# 首先将参数存储起来
for para in para_dict:
# 参数所在的地址
for j in range(W):
fp.write("%08X\n" % (int(img[i, j])))
fp.close()
#%% 然后要将CRLF转化
subprocess.call(".\c_api\change_crlf.exe %s" % (filename))
#%% 然后是modelsim仿真文件
# 生成待检测样本
image = np.zeros((H, W, 4), dtype=np.float)
for i in range(0, 4):
image[:, :, i] = np.reshape(x[:, i], (H, W))
image = image / 65536.0
#%% 用H表征网络结构，P来表征参数，用D来表征数据
model = gen_cnn.generate_cnn()
conv_out = test_npu_inst.generate_test_file(
image, model, "./ver_compare/data_under_test.tb.list")
para_dict, inst_set = test_npu_inst.generate_npu_inst(model)
# 创建一个内存初始化文件
fp = open("./sim_source/data_under_test.tb.list", "w")
fp_a = open("./sim_source/data_under_test_da.tb.list", "w")
fp_b = open("./sim_source/data_under_test_db.tb.list", "w")
fp_c = open("./sim_source/data_under_test_dc.tb.list", "w")
fp_d = open("./sim_source/data_under_test_dd.tb.list", "w")
# 首先将参数存储起来
for para in para_dict:
# 参数所在的地址
fp.write("@%08X\n" % (para_dict[para]))
fp_a.write("@%08X\n" % (para_dict[para]))
fp_b.write("@%08X\n" % (para_dict[para]))