I have built a model using tesnorflow serving and also ran it on server using this command:- bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server --port=9009 --model_name=ETA_DNN_Reg...

I'm using StaticHashTable as in one Lambda layer after the output layer of my tf.keras model. It's quite simple actually: I've a text classification models and I'm adding a simple lambda layer that...

I am trying to run Tensorflow as a serve on one NVIDIA Tesla V100 GPU. As a server, my program need to accept multiple requests concurrently. So, my questions are the following: When multiple req...

I'm using tensorflow serving version 2.2 on Docker with the client REST on Google Cloud Run, i would like to create some authentication method to improve the security. How can I implement TF Servin...

I need to freeze saved models for serving, but some saved model is device specific, how to solve this? with tf.Session(config=tf.ConfigProto(allow_soft_placement=True)) as sess: sess.run(tf.tables...

I have exported a DNNClassifier model and run it on tensorflow-serving server using docker. After that I have written a python client to interact with that tensorflow-serving for new prediction. I...

I want to raise a tf.errors.InvalidArgumentError exception dependent on the value of an input tensor in graph mode (in TensorFlow serving). Currently I use tf.debugging.assert_all_finite and this ...

I'm trying to start tensorflow-serving with the following two options like on the documentation docker run -t --rm -p 8501:8501 \ -v "$(pwd)/models/:/models/" tensorflow/serving \ --model_config...

I'm having some difficulty understanding the return types of structured_input_signature when inspecting a tf.ConcreteFunction. In the google docs https://www.tensorflow.org/guide/concrete_functio...

I will preface this by saying that I am inexperienced with docker and docker-compose. I am trying to convert my docker run ... command to a docker-compose.yml file, however, I cannot get the models...

I have converted a Keras model to a Tensorflow estimator, added Tensorflow Transform to the graph and then exported the model for serving. When I check the model signature, I can see the followin...

I have versions 1 and 2 of a model and I'm trying to assign them labels, following the instructions at https://www.tensorflow.org/serving/serving_config#assigning_string_labels_to_model_versions_to...

I am trying to use tf-serving to deploy my torch model. I have exported my torch model to onnx. How could I generate the pb model for tf-serving ?

I am using tensorflow serving to deploy my model . my tensorinfo map is saved_model_cli show --dir /export/1/ --tag_set serve --signature_def serving_default The given SavedModel Signature...

I have trained a tensforflow 2.0 keras model to make some natural language processing. What I am doing basically is get the title of different news and predicting in what category they belong. In...

I trained a BoostedTreesClassifier and would like to use the "directional feature contributions" as laid out in this tutorial. Basically it lets you "interpret" the model's prediction and measure e...

I'm trying to use the following code in my production server(which I want to scale it to more than 500 TPS). I'm facing the following issue when I flood the server with many requests. In atleast 1 ...

I am using TF Object Detection API for training a model that I will eventually deploy using tf-serving. I plan to take the output of this network (at intermediate CNN layers) and build additional n...

I was wondering how to use my model trained with keras on a production server. I heard about tensorflow serving, but I can't figure out how to use it with my keras model. I found this link : https...

I'm trying to serve my model using Docker + tensorflow-serving. However, due to restrictions with serving a model with an iterator (using make_initializable_iterator() ), I had to split up my model...

Right now we are successfully able to serve models using Tensorflow Serving. We have used following method to export the model and host it with Tensorflow Serving. ------------ For exporting ...

I am running a prediction on a tensorflow-serving model, and I get back this PredictResponse object as output: Result: outputs { key: "outputs" value { dtype: DT_FLOAT tensor_shape { dim { ...

I have some problem with using tensorflow serving. I deployed my tensorflow model as RESTful APIs using tensorflow serving. But I doubt if tf-serving server supports multi-threading. I've done som...

We train lots of variations of our model with different configuration and requiring different preprocessing of inputs (where the preprocessing is done outside of TensorFlow). I would like to export...

i tried to follow this tutorial on how to convert a Keras H5 Model zu ProtoBuff and serving it using Tensorflow Serve: https://towardsdatascience.com/deploying-keras-models-using-tensorflow-serving...