Inference Error

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When I ran inference.py with the model downloaded from drop box, I just came across the problems below. Could someone tell me how to fix it? Thanks!
INFO:tensorflow:Using default config.
INFO:tensorflow:Using config: {'_model_dir': './model', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': None, '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_service': None, '_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7ff01744bf98>, '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}
INFO:tensorflow:Calling model_fn.
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Graph was finalized.
2019-02-02 19:51:25.922760: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
INFO:tensorflow:Restoring parameters from ./model/model.ckpt-30452
2019-02-02 19:51:26.681010: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at save_restore_v2_ops.cc:184 : Not found: Key decoder/low_level_features/conv_1x1/BatchNorm/beta not found in checkpoint
Traceback (most recent call last):
File "/home/fbh/anaconda2/envs/tensordev3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1361, in _do_call
return fn(*args)
File "/home/fbh/anaconda2/envs/tensordev3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1340, in _run_fn
target_list, status, run_metadata)
File "/home/fbh/anaconda2/envs/tensordev3/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: Key decoder/low_level_features/conv_1x1/BatchNorm/beta not found in checkpoint
[[Node: save/RestoreV2 = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]

[soullessrobot]

@rishizek