unable to convert trained .pb file to .dlc

I want to import my trained model .pb file to vision_ai_devkit (altek camera)

i have trained my model with tensorflow 1.14.0

I am using SNPE-1.25.0 to convert my model from .pb to .dlc
`
from azureml.contrib.iot.model_converters import SnpeConverter

submit a compile request to convert the model to SNPE compatible DLC file

compile_request = SnpeConverter.convert_tf_model(
ws,
source_model=model,
input_node="image_tensor",
input_dims="1,300,300,3",
outputs_nodes = ["detection_boxes","detection_classes","detection_scores"],
allow_unconsumed_nodes = True)
print(compile_request._operation_id)`

status:
`Running.....
Failed
Operation d11c79e0-5393-4b23-8e63-d558647261d1 completed, operation state "Failed"
sas url to download model conversion logs https://chandan2197833874.blob.core.windows.net/azureml/LocalUpload/7c8659f5f3c74d5a8bba937801bf5b1c/conversion_log?sv=2019-02-02&sr=b&sig=UfR4bWNVUAKYIJfLxDW4W1fbBTwM0s9P%2Bhj1H74wDVg%3D&st=2019-12-18T13%3A31%3A51Z&se=2019-12-18T21%3A41%3A51Z&sp=r
[2019-12-18 13:41:31Z]: Starting model conversion process
[2019-12-18 13:41:31Z]: Downloading model for conversion
[2019-12-18 13:41:34Z]: Converting model
[2019-12-18 13:41:37Z]: converter std: Executing python /snpe-1.25.0/bin/x86_64-linux-clang/snpe-tensorflow-to-dlc --graph /tmp/du2zzymh.if1/input/drivermodel/frozen_inference_graph.pb -i image_tensor 1,300,300,3 --dlc /tmp/du2zzymh.if1/output/model.dlc --out_node detection_boxes --out_node detection_classes --out_node detection_scores --allow_unconsumed_nodes in /app
[2019-12-18 13:41:37Z]: converter std: Stream stdout is True
[2019-12-18 13:41:37Z]: converter std: 2019-12-18 13:41:36.710889: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
[2019-12-18 13:41:37Z]: converter err: Traceback (most recent call last):
[2019-12-18 13:41:37Z]: converter err: File "/utils/convert_model_tf", line 91, in
[2019-12-18 13:41:37Z]: converter std: 2019-12-18 13:41:36.718844: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2294685000 Hz
[2019-12-18 13:41:37Z]: converter std: 2019-12-18 13:41:36.721412: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x4c918e0 executing computations on platform Host. Devices:
[2019-12-18 13:41:37Z]: converter err: main()
[2019-12-18 13:41:37Z]: converter err: File "/utils/convert_model_tf", line 83, in main
[2019-12-18 13:41:37Z]: converter std: 2019-12-18 13:41:36.721446: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
[2019-12-18 13:41:37Z]: converter err: output_log = process_utils.check_call(command),
[2019-12-18 13:41:37Z]: converter err: File "/utils/process_utils.py", line 43, in check_call
[2019-12-18 13:41:37Z]: converter std: 2019-12-18 13:41:36,879 - 109 - ERROR - Encountered Error: NodeDef mentions attr 'half_pixel_centers' not in Op<name=ResizeBilinear; signature=images:T, size:int32 -> resized_images:float; attr=T:type,allowed=[DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_BFLOAT16, DT_HALF, DT_FLOAT, DT_DOUBLE]; attr=align_corners:bool,default=false>; NodeDef: {{node Preprocessor/map/while/ResizeImage/resize/ResizeBilinear}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[2019-12-18 13:41:37Z]: Conversion failed: Converter returned exit code: 1
[2019-12-18 13:41:37Z]: Conversion completed with result Failure

Model convert failed, unexpected error response:
{'code': 'ModelConvertFailed', 'details': [{'code': 'CompileModelFailed', 'message': 'aml://artifact/LocalUpload/7c8659f5f3c74d5a8bba937801bf5b1c/conversion_log'}]}
False`

even i tried to change the parameter for input layer as
input_node="Preprocessor/sub"

i am getting this error
`Running......
Failed
Operation 7d13145f-2380-42c9-aba4-33763e03a1d8 completed, operation state "Failed"
sas url to download model conversion logs https://chandan2197833874.blob.core.windows.net/azureml/LocalUpload/3055b4b964b74a37a12b2ff22df67e8b/conversion_log?sv=2019-02-02&sr=b&sig=cPr2899gFoZ8k4lo%2BYYY%2B5ugNiIc4hS0jfOn4yyCbtA%3D&st=2019-12-18T13%3A34%3A32Z&se=2019-12-18T21%3A44%3A32Z&sp=r
[2019-12-18 13:44:01Z]: Starting model conversion process
[2019-12-18 13:44:01Z]: Downloading model for conversion
[2019-12-18 13:44:02Z]: Converting model
[2019-12-18 13:44:04Z]: converter err: Traceback (most recent call last):
[2019-12-18 13:44:04Z]: converter std: Executing python /snpe-1.25.0/bin/x86_64-linux-clang/snpe-tensorflow-to-dlc --graph /tmp/5gkxtk0h.3qf/input/drivermodel/frozen_inference_graph.pb -i Preprocessor/sub 1,300,300,3 --dlc /tmp/5gkxtk0h.3qf/output/model.dlc --out_node detection_boxes --out_node detection_classes --out_node detection_scores --allow_unconsumed_nodes in /app
[2019-12-18 13:44:04Z]: converter err: File "/utils/convert_model_tf", line 91, in
[2019-12-18 13:44:04Z]: converter std: Stream stdout is True
[2019-12-18 13:44:04Z]: converter std: 2019-12-18 13:44:03.802369: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
[2019-12-18 13:44:04Z]: converter err: main()
[2019-12-18 13:44:04Z]: converter err: File "/utils/convert_model_tf", line 83, in main
[2019-12-18 13:44:04Z]: converter std: 2019-12-18 13:44:03.808567: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2394450000 Hz
[2019-12-18 13:44:04Z]: converter err: output_log = process_utils.check_call(command),
[2019-12-18 13:44:04Z]: converter err: File "/utils/process_utils.py", line 43, in check_call
[2019-12-18 13:44:04Z]: converter std: 2019-12-18 13:44:03.809597: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x56dae60 executing computations on platform Host. Devices:
[2019-12-18 13:44:04Z]: converter err: raise subprocess.CalledProcessError(retcode, ' '.join(commands), output=out)
[2019-12-18 13:44:04Z]: converter std: 2019-12-18 13:44:03.809627: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
[2019-12-18 13:44:04Z]: converter err: subprocess.CalledProcessError: Command 'python /snpe-1.25.0/bin/x86_64-linux-clang/snpe-tensorflow-to-dlc --graph /tmp/5gkxtk0h.3qf/input/drivermodel/frozen_inference_graph.pb -i Preprocessor/sub 1,300,300,3 --dlc /tmp/5gkxtk0h.3qf/output/model.dlc --out_node detection_boxes --out_node detection_classes --out_node detection_scores --allow_unconsumed_nodes' returned non-zero exit status 1
[2019-12-18 13:44:04Z]: converter std: 2019-12-18 13:44:03,943 - 109 - ERROR - Encountered Error: NodeDef mentions attr 'half_pixel_centers' not in Op<name=ResizeBilinear; signature=images:T, size:int32 -> resized_images:float; attr=T:type,allowed=[DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_BFLOAT16, DT_HALF, DT_FLOAT, DT_DOUBLE]; attr=align_corners:bool,default=false>; NodeDef: {{node Preprocessor/map/while/ResizeImage/resize/ResizeBilinear}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[2019-12-18 13:44:04Z]: converter std: Traceback (most recent call last):
[2019-12-18 13:44:04Z]: converter std: File "/snpe-1.25.0/bin/x86_64-linux-clang/snpe-tensorflow-to-dlc", line 99, in main
[2019-12-18 13:44:04Z]: converter std: model = loader.load(args.graph, in_nodes, in_dims, args.in_type, args.out_node, session)
[2019-12-18 13:44:04Z]: converter std: File "/snpe-1.25.0/lib/python/snpe/converters/tensorflow/loader.py", line 50, in load
[2019-12-18 13:44:04Z]: converter std: graph_def = self.__import_graph(graph_pb_or_meta_path, session, out_node_names)
[2019-12-18 13:44:04Z]: converter std: File "/snpe-1.25.0/lib/python/snpe/converters/tensorflow/loader.py", line 108, in __import_graph
[2019-12-18 13:44:04Z]: converter std: tf.import_graph_def(graph_def, name="")
[2019-12-18 13:44:04Z]: converter std: File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func
[2019-12-18 13:44:04Z]: converter std: return func(*args, **kwargs)
[2019-12-18 13:44:04Z]: converter std: File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/importer.py", line 430, in import_graph_def
[2019-12-18 13:44:04Z]: converter std: raise ValueError(str(e))
[2019-12-18 13:44:04Z]: converter std: ValueError: NodeDef mentions attr 'half_pixel_centers' not in Op<name=ResizeBilinear; signature=images:T, size:int32 -> resized_images:float; attr=T:type,allowed=[DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_BFLOAT16, DT_HALF, DT_FLOAT, DT_DOUBLE]; attr=align_corners:bool,default=false>; NodeDef: {{node Preprocessor/map/while/ResizeImage/resize/ResizeBilinear}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).
[2019-12-18 13:44:04Z]: converter std: Execution took 0.001766s for ['python', '/snpe-1.25.0/bin/x86_64-linux-clang/snpe-tensorflow-to-dlc', '--graph', '/tmp/5gkxtk0h.3qf/input/drivermodel/frozen_inference_graph.pb', '-i', u'Preprocessor/sub', u'1,300,300,3', '--dlc', '/tmp/5gkxtk0h.3qf/output/model.dlc', '--out_node', u'detection_boxes', '--out_node', u'detection_classes', '--out_node', u'detection_scores', '--allow_unconsumed_nodes'] in /app
[2019-12-18 13:44:04Z]: Conversion failed: Converter returned exit code: 1
[2019-12-18 13:44:04Z]: Conversion completed with result Failure

Model convert failed, unexpected error response:
{'code': 'ModelConvertFailed', 'details': [{'code': 'CompileModelFailed', 'message': 'aml://artifact/LocalUpload/3055b4b964b74a37a12b2ff22df67e8b/conversion_log'}]}
False`

How to convert custom object detection from .pb to .dlc and .tflite (to import my model in vision AI camera)

Thanks