Python code of train model:

input_schema = dataset_schema.from_feature_spec({
    REVIEW_COLUMN: tf.FixedLenFeature(shape=[], dtype=tf.string),
    LABEL_COLUMN: tf.FixedLenFeature(shape=[], dtype=tf.int64)
})

In python predictions work fine. Example of client:

loaded_model = tf.saved_model.loader.load(sess, ["serve"], '/tmp/model/export/Servo/1506084916')
input_dict, output_dict =_signature_def_to_tensors(loaded_model.signature_def['default_input_alternative:None'])
start = datetime.datetime.now()
out = sess.run(output_dict, feed_dict={input_dict["inputs"]: ("I went and saw this movie last night",)})
print(out)
print("Time all: ", datetime.datetime.now() - start)

But golang client does not work:

m, err := tf.LoadSavedModel("/tmp/model/export/Servo/1506084916", []string{"serve"}, &tf.SessionOptions{})
if err != nil {
    panic(fmt.Errorf("load model: %s", err))
}

data := "I went and saw this movie last night"
t, err := tf.NewTensor([]string{data})
if err != nil {
    panic(fmt.Errorf("tensor err: %s", err))
}
fmt.Printf("tensor: %v", t.Shape())

output, err = m.Session.Run(
    map[tf.Output]*tf.Tensor{
        m.Graph.Operation("save_1/StringJoin/inputs_1").Output(0): t,
    }, []tf.Output{
        m.Graph.Operation("linear/binary_logistic_head/predictions/classes").Output(0),
    }, nil,
)
if err != nil {
    panic(fmt.Errorf("run model: %s", err))
}

I got error:

panic: run model: You must feed a value for placeholder tensor 'Placeholder' with dtype string and shape [?] [[Node: Placeholder = Placeholder_output_shapes=[[?]], dtype=DT_STRING, shape=[?], _device="/job:localhost/replica:0/task:0/cpu:0"]]

How can I present shape=[?] tensor with golang? Or I need to change input format of python training script?

UPD:

This string "save_1/StringJoin/inputs_1" I received after running this python-code:

for n in sess.graph.as_graph_def().node:
    if "inputs" in n.name:
        print(n.name)

Output:

transform/transform/inputs/review/Placeholder 
transform/transform/inputs/review/Identity 
transform/transform/inputs/label/Placeholder 
transform/transform/inputs/label/Identity 
transform/transform_1/inputs/review/Placeholder 
transform/transform_1/inputs/review/Identity 
transform/transform_1/inputs/label/Placeholder 
transform/transform_1/inputs/label/Identity 
save_1/StringJoin/inputs_1 
save_2/StringJoin/inputs_1

Ng机器学习课程Part 2 Logistic Regression作业中的问题，急！！！

adminabcd

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