batch size > 1 in config file for running eval script

[Kalana304]

I am trying to evaluate the model having batch size more than 1 and it throws me errors. I have checked in many other sources and their suggestion would be to make it 1. But for our application we need a batch size > 1. Following is the error I get.

Traceback (most recent call last):
File "models/research/object_detection/model_main_tf2.py", line 114, in
tf.compat.v1.app.run()
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/absl/app.py", line 300, in run
_run_main(main, args)
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/absl/app.py", line 251, in _run_main
sys.exit(main(argv))
File "models/research/object_detection/model_main_tf2.py", line 81, in main
model_lib_v2.eval_continuously(
File "/media/fyp3/New Volume/ActivityDetection/ActivityDetection/Custom/models/research/object_detection/model_lib_v2.py", line 990, in eval_continuously
eager_eval_loop(
File "/media/fyp3/New Volume/ActivityDetection/ActivityDetection/Custom/models/research/object_detection/model_lib_v2.py", line 803, in eager_eval_loop
eval_dict, losses_dict, class_agnostic = compute_eval_dict(features, labels)
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 780, in call
result = self._call(*args, **kwds)
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/def_function.py", line 840, in _call
return self._stateless_fn(*args, **kwds)
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 2829, in call
return graph_function._filtered_call(args, kwargs) # pylint: disable=protected-access
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 1843, in _filtered_call
return self._call_flat(
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 1923, in _call_flat
return self._build_call_outputs(self._inference_function.call(
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/function.py", line 545, in call
outputs = execute.execute(
File "/home/fyp3/anaconda3/envs/py3tf2/lib/python3.8/site-packages/tensorflow/python/eager/execute.py", line 59, in quick_execute
tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: Shapes of all inputs must match: values[0].shape = [1] != values[3].shape = [0]
[[node stack_47 (defined at /media/fyp3/New Volume/ActivityDetection/ActivityDetection/Custom/models/research/object_detection/model_lib.py:158) ]]
[[ToNormalizedCoordinates/Assert/AssertGuard/pivot_f/_828/_321]]
(1) Invalid argument: Shapes of all inputs must match: values[0].shape = [1] != values[3].shape = [0]
[[node stack_47 (defined at /media/fyp3/New Volume/ActivityDetection/ActivityDetection/Custom/models/research/object_detection/model_lib.py:158) ]]
0 successful operations.
0 derived errors ignored. [Op:__inference_compute_eval_dict_28651]

Errors may have originated from an input operation.
Input Source operations connected to node stack_47:
Slice_4 (defined at /media/fyp3/New Volume/ActivityDetection/ActivityDetection/Custom/models/research/object_detection/model_lib.py:276)

Input Source operations connected to node stack_47:
Slice_4 (defined at /media/fyp3/New Volume/ActivityDetection/ActivityDetection/Custom/models/research/object_detection/model_lib.py:276)

Function call stack:
compute_eval_dict -> compute_eval_dict

Can you please let me know what this is and/or whether API can handle only batch_size == 1 for evaluation?