failed to load Tensor shape expected by framework [] doesn't match model configuration shape [-1]

I am trying to load the model which is text and doesn’t have specific input shape this is my config file:

name: "model"
platform: "tensorflow_savedmodel"
max_batch_size: 16
input [
  {
    name: "label_ids"
    data_type: TYPE_INT64
    dims: []
  },
  {
    name: "input_ids"
    data_type: TYPE_INT64
    dims: [128]
  },
  {
    name: "input_mask"
    data_type: TYPE_FP32
    format: FORMAT_NHWC
    dims: [128]
  },
  {
    name: "segment_ids"
    data_type: TYPE_FP32
    format: FORMAT_NHWC
    dims: [128]
  }
]
output [
  {
    name: "output"
    data_type: TYPE_FP32
    dims: [ 1300 ]
  }
]
instance_group [
  {
    count: 1
    gpus: [0]
  }
]
dynamic_batching {
      preferred_batch_size: [ 16 ]
      max_queue_delay_microseconds: 100
    }

I know that labels_id doesn’t have specific shape, but when I give empty list I get this error:

E1003 18:35:18.944193 1 server.cc:137] model input must specify ‘dims’ for model

And when I try with [-1] I get this error:

failed to load ‘mode’ version 1: Invalid argument: unable to load model ‘model’, tensor ‘label_ids’ shape expected by framework [] doesn’t match model configuration shape [-1]

Any help?

My command: **sudo nvidia-docker run --rm --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 -p8000:8000 -p8001:8001 -p8002:8002 -v/home/serving/teste/models_trt:/models nvcr.io/nvidia/tensorrtserver:19.06-py3 trtserver --model-store=/models --strict-model-config=false**

[deadeyegoodwin]

@yoonjaecho This is an old closed issue. Can you file a new issue with your question and delete your comment from this issue.

[gr8Adakron]

@deadeyegoodwin thanks! reshaping worked.

 {
    name: "label_ids"
    data_type: TYPE_INT64
    dims: [1]
    reshape: { shape: [] }
  }

Closing it!