Couldn’t find a way to edit my original topic, but I have also inspected the saved model.
I ran:
$ saved_model_cli show --dir <path_to_model> --all
There was this error reported at the end of this output:
FileNotFoundError: Op type not registered 'SimpleMLInferenceOpWithHandle' in binary running on craftsman. Make sure the Op and Kernel are registered in the binary running in this process. Note that if you are loading a saved graph which used ops from tf.contrib, accessing (e.g.) `tf.contrib.resampler` should be done before importing the graph, as contrib ops are lazily registered when the module is first accessed.
 If trying to load on a different device from the computational device, consider using setting the `experimental_io_device` option on tf.saved_model.LoadOptions to the io_device such as '/job:localhost'.

Here is the remainder of the output that came prior to the error:

MetaGraphDef with tag-set: 'serve' contains the following SignatureDefs:

signature_def['__saved_model_init_op']:
  The given SavedModel SignatureDef contains the following input(s):
  The given SavedModel SignatureDef contains the following output(s):
    outputs['__saved_model_init_op'] tensor_info:
        dtype: DT_INVALID
        shape: unknown_rank
        name: NoOp
  Method name is: 

signature_def['serving_default']:
  The given SavedModel SignatureDef contains the following input(s):
    inputs['examples'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: serving_default_examples:0
  The given SavedModel SignatureDef contains the following output(s):
    outputs['output_0'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 1)
        name: StatefulPartitionedCall_10:0
  Method name is: tensorflow/serving/predict

signature_def['transform']:
  The given SavedModel SignatureDef contains the following input(s):
    inputs['examples'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: transform_examples:0
  The given SavedModel SignatureDef contains the following output(s):
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:3
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:7
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:11
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:15
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:16
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:17
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:21
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:25
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:29
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:33
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:37
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:38
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:39
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:43
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:47
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:51
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:52
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:53
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:57
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:61
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:65
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:69
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:73
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:77
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:81
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:82
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:83
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:87
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:91
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:95
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:99
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:100
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:101
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:105
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:109
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:113
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:117
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:121
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1)
        name: StatefulPartitionedCall_11:125
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:126
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:127
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:131
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:135
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:139
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1, 1)
        name: StatefulPartitionedCall_11:140
    outputs['<redacted>'] tensor_info:
        dtype: DT_STRING
        shape: (-1)
        name: StatefulPartitionedCall_11:141
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:145
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:149
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:153
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1)
        name: StatefulPartitionedCall_11:157
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1, -1)
        name: 
    outputs['<redacted>'] tensor_info:
        dtype: DT_INT64
        shape: (-1)
        name: StatefulPartitionedCall_11:161
  Method name is: tensorflow/serving/predict