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Questions tagged [google-cloud-ml]

Google Cloud ML Engine is a managed service that offers training and/or prediction services using Machine Learning models.

1007 questions
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Constructing a Vertex AI Pipeline with a custom training container and a model serving container

I'd like to be able to train a model with a training app container that I've made and saved to my artifact registry. I want to be able to deploy a model with a flask app and with a /predict route that can handle some logic -- not necessarily just…
Sanger Steel
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Is it possible to connect to the private IP of a Cloud SQL instance in GCP Vertex AI pipeline?

I am working on a pipeline to perform data transformation of data residing on GCP cloud SQL with private IP on a different project by using the Vertex AI pipeline. I am not able to get any documents regarding connecting to Cloud SQL in it. Does…
Rituraj kumar
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google ai platform vs ml engine

I did lots of search, but I cannot understand what the difference between google ai platform and ml engine. It seems that both of them can be used for training and deploying models. Other words like google-cloud-automl, google ai hub are also very…
BAE
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Tensorflow 2 on Google Cloud AI platform

Any news when Tensorflow 2 will be supported on Google Cloud AI platform? According to the list, 1.15 is the last version to be supported: https://cloud.google.com/ml-engine/docs/runtime-version-list
André Mansikkaniemi
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Can I use a custom tensorflow model in firebase function to make prediction?

I have my custom TensorFlow model. I would like to store that model in firebase storage and write a firebase Function that can use the custom model for making predictions? I am aware of this architecture, which can solve my issue. But the problem…
Infinite Looper
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ML-Engine unable to access job_dir directory in bucket

I am attempting to submit a job for training in ML-Engine using gcloud but am running into an error with service account permissions that I can't figure out. The model code exists on a Compute Engine instance from which I am running gcloud ml-engine…
Jay T
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Understanding inputs for google ai platform custom prediction routines

I am following this documentation on custom prediction routines and I am trying to understand how the inputs for custom prediction routine looks like. The code to send the input looks like this: instances = [ [6.7, 3.1, 4.7, 1.5], …
DarioB
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Cannot deploy a trained model via custom prediction routine. Fails with model load error

I am trying to deploy a custom prediction routine, that categories text. I trained a model and provided the .pkl in the cloud storage model directory. Model version creation fails with: ERROR: (gcloud.beta.ai-platform.versions.create) Bad model…
Bharati
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Using google cloud ml gpu on python 3.7

I am trying to run a ML model on google cloud ML. I am using pytorch and want to use the GPU. Using the standard Python3.6 version installed on the Google cloud VM, I get an error described below and tried solving it by upgrading the Python version…
user284639
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"Request payload size exceeds the limit" in google cloud json prediction request

I am trying to serve a prediction using google cloud ml engine. I generated my model using fast-style-transfer and saved it on my google cloud ml engine's models section. For input it use float32 and so I had to convert my image in this…
Meow Meow I'm a Cow
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No module named trainer, Cloud ML Engine for TensorFlow Tutorial, Running Locally

Tutorial I am following Have been attempting to follow the Google tutorial to use ML Engine for TensorFlow. Have gotten stuck where it says "run a local training job" with the error /usr/bin/python: No module named trainer Full command is: gcloud…
hoss24
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Implement online predictions of Google Cloud Machine Learning Engine by Python

I want to send requests from App Engine to the model of ML Engine. I built the sample code for testing on my local machine. However, I received the error 'UNAUTHENTICATED': WARNING:root:No ssl package found. urlfetch will not be able to validate…
Henry Chen
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How to read a utf-8 encoded binary string in tensorflow?

I am trying to convert an encoded byte string back into the original array in the tensorflow graph (using tensorflow operations) in order to make a prediction in a tensorflow model. The array to byte conversion is based on this answer and it is the…
NickDGreg
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Prediction failed: contents must be scalar

I have successfully trained, exported and uploaded my 'retrained_graph.pb' to ML Engine. My export script is as follows: import tensorflow as tf from tensorflow.python.saved_model import signature_constants from tensorflow.python.saved_model import…
Starchand
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Distributed Tensorflow device placement in Google Cloud ML engine

I am running a large distributed Tensorflow model in google cloud ML engine. I want to use machines with GPUs. My graph consists of two main the parts the input/data reader function and the computation part. I wish to place variables in the PS…
Miguel Monteiro
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