Hi,
We’re calling SavedModelBundle.exporter("/data/").withSession(sess).withSignature(mySig).export to save a model. It seems to save out fine (according to the cli tool). But when we’re loading it from the Python side using tf.saved_model.load("/data/"), we’re getting the following error in ValueError: Feeds must be tensors.
Any ideas ?
more details…
Signature (according to saved_model_cli)
  The given SavedModel SignatureDef contains the following input(s):
    inputs['_input_0'] tensor_info:
        dtype: DT_FLOAT
        shape: (10)
        name: Placeholder_1:0
  The given SavedModel SignatureDef contains the following output(s):
    outputs['_out_0'] tensor_info:
        dtype: DT_FLOAT
        shape: (10)
        name: Relu_1:0
  Method name is:

And full python stacktrace
wrap_function.py.prune(/apps/python3/lib/python3.7/site-packages/tensorflow/python/eager/wrap_function.py:262)
load_v1_in_v2.py._extract_saver_restore(/apps/python3/lib/python3.7/site-packages/tensorflow/python/saved_model/load_v1_in_v2.py:105)
load_v1_in_v2.py.load(/apps/python3/lib/python3.7/site-packages/tensorflow/python/saved_model/load_v1_in_v2.py:211)
load_v1_in_v2.py.load(/apps/python3/lib/python3.7/site-packages/tensorflow/python/saved_model/load_v1_in_v2.py:263)
load.py.load_internal(/apps/python3/lib/python3.7/site-packages/tensorflow/python/saved_model/load.py:613)
load.py.load(/apps/python3/lib/python3.7/site-packages/tensorflow/python/saved_model/load.py:578)