Perception TF v1 code savedModel graph says it has no operation

[Litchilitchy]

hi I am using this repo code

g = tf.Graph()
with g.as_default():
    # Graph Inputs
    features = tf.placeholder(dtype=tf.float32,
                              shape=[None, 2], name='features')
    targets = tf.placeholder(dtype=tf.float32,
                             shape=[None, 1], name='targets')

    # Model Parameters
    weights = tf.Variable(tf.zeros(shape=[2, 1],
                                   dtype=tf.float32), name='weights')
    bias = tf.Variable([[0.]], dtype=tf.float32, name='bias')

    # Forward Pass
    linear = tf.add(tf.matmul(features, weights), bias, name='linear')
    ones = tf.ones(shape=tf.shape(linear))
    zeros = tf.zeros(shape=tf.shape(linear))
    prediction = tf.where(condition=tf.less(linear, 0.),
                          x=zeros,
                          y=ones,
                          name='prediction')

    # Backward Pass
    errors = targets - prediction
    weight_update = tf.assign_add(weights,
                                  tf.reshape(errors * features, (2, 1)),
                                  name='weight_update')
    bias_update = tf.assign_add(bias, errors,
                                name='bias_update')

    train = tf.group(weight_update, bias_update, name='train')

    saver = tf.train.Saver(name='saver')

and save it using

inputs = dict([(features.name, features)])
outputs = dict([(prediction.name, prediction)])
tf.saved_model.simple_save(sess, "my_path", inputs, outputs)

and I can use saved_model_cli to see the model, following is part of it

signature_def['serving_default']:
  The given SavedModel SignatureDef contains the following input(s):
    inputs['features:0'] tensor_info:
        dtype: DT_FLOAT
        shape: (-1, 2)
        name: features:0

but when I use TF2 tf.keras.model.load_model("my_path") it raise error KeyError: "The name 'features:0' refers to a Tensor which does not exist. The operation, 'features', does not exist in the graph.", using java api raise the similar error.

Could this save to savedModel? How should I do it correctly?

[rasbt]

oh this is Tf v1 code, I don't think this is readily compatible with TensorFlow 2

[Litchilitchy]

it is the model problem, I use TF 1.15 java api the error is the same

[Litchilitchy]

issue solved, the save operation should be in with Session

[rasbt]

Ok great it's solved :). Was it something that was wrong on your end or in the notebook (just asking so I can fix it).

[Litchilitchy]

nothing wrong, just need to code in with Session if export savedModel. However, if code outside this block it could also save with no exception but could not be used, so weird.

[NCEPU-zny]

view it on GitHub At 2021-03-29 10:15:25, "Song Jiaming" ***@***.***> wrote: nothing wrong, just need to code in with Session if export savedModel. However, if code outside this block it could also save with no exception but could not be used, so weird. — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.