How to add Input Parameter in T2T using Tensorflow Serving

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Simon Mc Duff

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Jul 19, 2018, 2:30:32 PM7/19/18
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Hi,

I'm trying to add a new parameters to t2t.

new parameter name : newparam type=int64.

I added the following to the problem

def example_reading_spec(self):
 [...]
    data_fields["newparam"] = tf.VarLenFeature(tf.int64)

After that in my transformer I did the following:

newparam=tf.placeholder(tf.int64,name="newparam")



I'm able to export my model but I have an error when I query it.
For the query, I add it in the input variables at the same level than the t2t inputs.

INVALID_ARGUMENT: You must feed a value for placeholder tensor 'transformer/while/newparam' with dtype int64

Do I need to do something else ?

I'm using Tensor2tensor 1.6.5

Thank you

Simon

Ryan Sepassi

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Jul 19, 2018, 2:35:50 PM7/19/18
to Simon Mc Duff, tensor2tensor
there should be no need for the placeholder.
if you added the feature to the example_reading_spec, it should now be in the features dictionary in the model

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Simon Mc Duff

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Jul 19, 2018, 7:07:48 PM7/19/18
to Ryan Sepassi, tensor2tensor
Thank you Ryan!


Now I can go further... but still have weird error.

When I send one prediction (t2t) with my parameters, I have 2 responses ??

The first one is correct, but the other one is garbage...

When I created the protobuf to create my parameters.
I have a list which contains 
- a feature with name "inputs"
- a feature with name "newparam"

It seems that tensorflow serving believe it is 2 inputs.... somehow. And my parameters doesn`t seems to be used at all.


def example_reading_spec(self):
 [...]
    data_fields["newparam"] = tf.VarLenFeature(tf.int64)



 newparam  =  features["newparam"]
 newparam  = newparam[0,:]                            # what represents the first dimension ?? I took the second dimension believing this is what I need.



      
Simon


2018-07-19 14:35 GMT-04:00 Ryan Sepassi <rsep...@google.com>:
there should be no need for the placeholder.
if you added the feature to the example_reading_spec, it should now be in the features dictionary in the model

On Thu, Jul 19, 2018 at 11:30 AM Simon Mc Duff <simon....@gmail.com> wrote:
Hi,

I'm trying to add a new parameters to t2t.

new parameter name : newparam type=int64.

I added the following to the problem

def example_reading_spec(self):
 [...]
    data_fields["newparam"] = tf.VarLenFeature(tf.int64)

After that in my transformer I did the following:

newparam=tf.placeholder(tf.int64,name="newparam")



I'm able to export my model but I have an error when I query it.
For the query, I add it in the input variables at the same level than the t2t inputs.

INVALID_ARGUMENT: You must feed a value for placeholder tensor 'transformer/while/newparam' with dtype int64

Do I need to do something else ?

I'm using Tensor2tensor 1.6.5

Thank you

Simon

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Ryan Sepassi

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Jul 19, 2018, 8:01:36 PM7/19/18
to Simon Mc Duff, tensor2tensor
the thing you send to serving should be a tensorflow.Example proto that's going to go through the same parsing as happens during training so make sure the structure is the same

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Simon Mc Duff

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Jul 19, 2018, 8:05:00 PM7/19/18
to Ryan Sepassi, tensor2tensor
This is what I do already...

For inputs
    org.tensorflow.example.Int64List.Builder addAllValue = org.tensorflow.example.Int64List.newBuilder()
        .addAllValue(encode);
    Feature build = Feature.newBuilder().setInt64List(addAllValue).build();
    Features build2 = Features.newBuilder().putFeature(INPUTS, build).build();
    org.tensorflow.example.Example.Builder exampleBuilder = Example.newBuilder().setFeatures(build2);

For newParam
    org.tensorflow.example.Int64List.Builder addAllValue = org.tensorflow.example.Int64List.newBuilder()
        .addAllValue(encode);
    Feature build = Feature.newBuilder().setInt64List(addAllValue).build();
    Features build2 = Features.newBuilder().putFeature("newparam", build).build();
    org.tensorflow.example.Example.Builder exampleBuilder = Example.newBuilder().setFeatures(build2);


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Ryan Sepassi

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Jul 19, 2018, 8:18:00 PM7/19/18
to Simon Mc Duff, tensor2tensor
it looks to me like you're creating 2 Example protos. you should be creating just 1 that contains the 2 features

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Simon Mc Duff

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Jul 19, 2018, 8:34:19 PM7/19/18
to Ryan Sepassi, tensor2tensor
IT IS WORKING!!! :-)

This was the problem! Thank you so much! 

Simon

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Erik Chan

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Oct 3, 2019, 11:33:00 AM10/3/19
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Hi Simon

Would you mind sharing your code? I am also trying to do Input Parameter in T2T using Tensorflow Serving and am having trouble with this.

Thanks!
Erik



El viernes, 20 de julio de 2018, 8:34:19 (UTC+8), Simon Mc Duff escribió:
IT IS WORKING!!! :-)

This was the problem! Thank you so much! 

Simon
2018-07-19 20:17 GMT-04:00 Ryan Sepassi <rsep...@google.com>:
it looks to me like you're creating 2 Example protos. you should be creating just 1 that contains the 2 features

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