How can i restore the model_c to continue train and do test?

[dalaoshe]

I mean, what's the model the model_c use to train? the L_Resnet_E_IR.py or some other *.py?
because, when i use the latest code to restore as follow:

if args.ckpt_file:
model_path = tf.train.latest_checkpoint(args.ckpt_file)
print('restore model from model_path:{} {}'.format(model_path, args.ckpt_file))
saver.restore(sess, model_path)
else:
print('re train model')
sess.run(tf.global_variables_initializer())
where,model_path is InsightFace_iter_best_1950000.ckpt, but it fails, the tf report is:
Key resnet_v1_50/block1/unit_1/bottleneck_v1/conv1/kernel not found in checkpoint

so, can you tell me how can i to do restore from the model_c in the right way? and is there something
different in model layer between mgpu and single gpu??? thank you very much!

[Neltherion]

@dalaoshe

I get a similar error... Did you manage to solve this?