command

py Tensorflow\models\research\object_detection\export_inference_graph.py
--input_type image_tensor
--pipeline_config_path Tensorflow\workspace\models\my_ssd_mobnet\pipeline.config
--trained_checkpoint_prefix Tensorflow\workspace\pre-trained-models\ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8\checkpoint\ckpt-0.data-00000-of-00001
--output_directory Tensorflow\workspace\models\my_ssd_mobnet\export

full logs:

py Tensorflow\models\research\object_detection\export_inference_graph.py     --input_type image_tensor     --pipeline_config_path Tensorflow\workspace\models\my_ssd_mobnet\pipeline.config     --trained_checkpoint_prefix Tensorflow\workspace\pre-trained-models\ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8\checkpoint\ckpt-0.data-00000-of-00001     --output_directory Tensorflow\workspace\models\my_ssd_mobnet\export
2021-07-15 09:40:24.482953: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-07-15 09:40:26.835151: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2021-07-15 09:40:26.856379: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 2080 SUPER computeCapability: 7.5
coreClock: 1.845GHz coreCount: 48 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 462.00GiB/s
2021-07-15 09:40:26.856487: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-07-15 09:40:26.861810: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2021-07-15 09:40:26.861891: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2021-07-15 09:40:26.864685: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2021-07-15 09:40:26.865561: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2021-07-15 09:40:26.872246: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusolver64_11.dll
2021-07-15 09:40:26.874465: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2021-07-15 09:40:26.874979: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll
2021-07-15 09:40:26.875238: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-07-15 09:40:26.876220: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-07-15 09:40:26.877353: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 2080 SUPER computeCapability: 7.5
coreClock: 1.845GHz coreCount: 48 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 462.00GiB/s
2021-07-15 09:40:26.877556: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-07-15 09:40:27.285985: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-07-15 09:40:27.286153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264]      0
2021-07-15 09:40:27.286917: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0:   N
2021-07-15 09:40:27.287164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5957 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 SUPER, pci bus id: 0000:01:00.0, compute capability: 7.5)
Traceback (most recent call last):
  File "Tensorflow\models\research\object_detection\export_inference_graph.py", line 206, in <module>
    tf.app.run()
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\absl\app.py", line 303, in run
    _run_main(main, args)
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\absl\app.py", line 251, in _run_main
    sys.exit(main(argv))
  File "Tensorflow\models\research\object_detection\export_inference_graph.py", line 194, in main
    exporter.export_inference_graph(
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\exporter.py", line 611, in export_inference_graph
    _export_inference_graph(
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\exporter.py", line 503, in _export_inference_graph
    outputs, placeholder_tensor_dict = build_detection_graph(
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\exporter.py", line 457, in build_detection_graph
    placeholder_tensor, input_tensors = input_placeholder_fn_map[input_type](
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\object_detection-0.1-py3.8.egg\object_detection\exporter.py", line 186, in _image_tensor_input_placeholder
    input_tensor = tf.placeholder(
  File "C:\Users\jonat\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\array_ops.py", line 3268, in placeholder
    raise RuntimeError("tf.placeholder() is not compatible with "
RuntimeError: tf.placeholder() is not compatible with eager execution.