evaluating on OULU video frames gave an error

[JavanehBahrami]

I extracted frames from videos in OULU dataset and then run test.py but in loop over the features the evaluation failed:
shape of items of my ALLDATA=[image_face_cat_reshaped, vertices_map_cat, mask_cat] is as below
image_face_cat.shape = (256, 256, 15)
vertices_map_cat.shape = (1, 32, 32, 3, 5)
mask_cat.shape = (1, 32, 32, 3, 5)

def officialEvalSub(txt_name, data_list, mode, path_model_now):
    def realProb(logits):
        #return np.exp(logits[1])/(np.exp(logits[0])+np.exp(logits[1]))
        x = np.array(logits)
        y = np.exp(x[0])/np.sum(np.exp(x))
        #y = x[0]
        return y
    def name_encode(name_):
        if mode == 'dev':
            return name_
        elif mode == 'test':
            name_split = name_.split('_')
            name_10 = name_split[0] + name_split[3] + name_split[1] + name_split[2]
            name_16 = hex(int(name_10))
            name_16 = name_16[0] + name_16[2:]
            return name_16
        else:
            print('Error mode: requires dev or test')
            exit(1)

    eval_input_fn = input_fn_maker(data_list, shuffle=False,
                                batch_size = 1,
                                epoch=1)
    features=mnist_classifier.predict(
            input_fn=eval_input_fn,
            checkpoint_path= path_model_now )
    fid = open(txt_name, 'w')
    fea_ind = 0
    acc_mean = 0.0
    video_name = None
    video_score = 0.0
    video_frame_count = 0.0
    for feature in features:
        logits = feature['logits']
        '''
        logits_tmp = logits[1]
        logits[1] = logits[0]
        logits[0] = logits_tmp
        '''
        labels = feature['labels']
        names = feature['names']
        depth_map = feature['depth_map']
        masks = feature['masks']

the error:

Traceback (most recent call last):
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call
    return fn(*args)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn
    target_list, run_metadata)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.InvalidArgumentError: {{function_node __inference_Dataset_map_parser_fun_70}} Input to reshape is a tensor with 15360 values, but the requested shape has 5120
         [[{{node Reshape_2}}]]
         [[IteratorGetNext]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "test_ref2.py", line 164, in <module>
    evaluator.evaluate(is_online=FLAGS.flags.isOnline)
  File "test_ref2.py", line 71, in evaluate
    self.online_eval()
  File "test_ref2.py", line 90, in online_eval
    self.perform_evaluation(iter_now)
  File "test_ref2.py", line 118, in perform_evaluation
    for feature in features:
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_estimator/python/estimator/estimator.py", line 640, in predict
    preds_evaluated = mon_sess.run(predictions)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 754, in run
    run_metadata=run_metadata)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1259, in run
    run_metadata=run_metadata)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1360, in run
    raise six.reraise(*original_exc_info)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/six.py", line 719, in reraise
    raise value
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1345, in run
    return self._sess.run(*args, **kwargs)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1418, in run
    run_metadata=run_metadata)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/training/monitored_session.py", line 1176, in run
    return self._sess.run(*args, **kwargs)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 956, in run
    run_metadata_ptr)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1180, in _run
    feed_dict_tensor, options, run_metadata)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1359, in _do_run
    run_metadata)
  File "/home/javaneh/miniconda3/envs/tf1_conda_env/lib/python3.7/site-packages/tensorflow_core/python/client/session.py", line 1384, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError:  Input to reshape is a tensor with 15360 values, but the requested shape has 5120
         [[{{node Reshape_2}}]]
         [[IteratorGetNext]]

@clks-wzz , Thanks in advance for your help