I am getting this as an output :

`

The given SavedModel SignatureDef contains the following input(s):

inputs[‘length_0’] tensor_info:

dtype: DT_INT32

shape: (-1)

name: serving_default_length_0:0

inputs[‘length_1’] tensor_info:

dtype: DT_INT32

shape: (-1)

name: serving_default_length_1:0

inputs[‘length_2’] tensor_info:

dtype: DT_INT32

shape: (-1)

name: serving_default_length_2:0

inputs[‘tokens_0’] tensor_info:

dtype: DT_STRING

shape: (-1, -1)

name: serving_default_tokens_0:0

inputs[‘tokens_1’] tensor_info:

dtype: DT_STRING

shape: (-1, -1)

name: serving_default_tokens_1:0

inputs[‘tokens_2’] tensor_info:

dtype: DT_STRING

shape: (-1, -1)

name: serving_default_tokens_2:0

The given SavedModel SignatureDef contains the following output(s):

outputs[‘alignment’] tensor_info:

dtype: DT_FLOAT

shape: (-1, 1, -1, -1)

name: StatefulPartitionedCall_8:0

outputs[‘length’] tensor_info:

dtype: DT_INT32

shape: (-1, 1)

name: StatefulPartitionedCall_8:1

outputs[‘log_probs’] tensor_info:

dtype: DT_FLOAT

shape: (-1, 1)

name: StatefulPartitionedCall_8:2

outputs[‘tokens’] tensor_info:

dtype: DT_STRING

shape: (-1, 1, -1)

name: StatefulPartitionedCall_8:3

Method name is: tensorflow/serving/predict

(tf_v2_env)

`