tensorflow_serving/servables/tensorflow/testdata/export_counter.py
def build_signature_def_from_tensors(inputs, outputs, method_name):
  """Builds signature def with inputs, outputs, and method_name."""
  return tf.saved_model.signature_def_utils.build_signature_def(
      inputs={
          key: tf.saved_model.utils.build_tensor_info(tensor)
          for key, tensor in inputs.items()
      },
      outputs={
          key: tf.saved_model.utils.build_tensor_info(tensor)
          for key, tensor in outputs.items()
      },
      method_name=method_name)
Builds signature def with inputs, outputs, and method_name.
Builds signature def with inputs, outputs, and method_name.
Builds signature def with inputs outputs and method_name .
def build_signature_def_from_tensors(inputs, outputs, method_name):
  return tf.saved_model.signature_def_utils.build_signature_def(
      inputs={
          key: tf.saved_model.utils.build_tensor_info(tensor)
          for key, tensor in inputs.items()
      },
      outputs={
          key: tf.saved_model.utils.build_tensor_info(tensor)
          for key, tensor in outputs.items()
      },
      method_name=method_name)
def build_signature_def_from_tensors ( inputs , outputs , method_name ) : return tf . saved_model . signature_def_utils . build_signature_def ( inputs = { key : tf . saved_model . utils . build_tensor_info ( tensor ) for key , tensor in inputs . items ( ) } , outputs = { key : tf . saved_model . utils . build_tensor_info ( tensor ) for key , tensor in outputs . items ( ) } , method_name = method_name )
Builds signature def with inputs, outputs, and method_name.
Builds signature def with inputs outputs and method_name .
"""Builds signature def with inputs, outputs, and method_name."""
inputs
outputs
method_name