Questions tagged [google-cloud-ml-engine]

Google Cloud ML Engine is a managed, scalable service that enables building and training of machine learning models in the cloud as part of the Google Cloud suite of products: including TensorFlow, storage, BigQuery, Dataflow and others.

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Enabling GCP Cloud Machine Learning Engine error

As I was trying to access Cloud ML Engine in GCP, I was asked to enable its API first. So when I did it, I got the following error: Update failed with following error(s) for project settings: -- Backend Provisioning Error: {ml.googleapis.com…
kee
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Error symbol log running GPU on google cloud ML

I'm trying to use google cloud ml with GPU mode. When I train BASIC_GPU mode, I have many error log. But, It works training well. I am not sure whether the learning was good working in GPU mode. This is error log history. enter image description…
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Keras google cloudml sample: IndexError

I'm trying the keras cloudml sample (https://github.com/GoogleCloudPlatform/cloudml-samples/tree/master/census/keras) and I seem unable to run the cloud training. The local training, both with python and gcloud seem to go well. I've looked for a…
yarc68000
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Using tensorflow.contrib.data.Dataset in Cloud ML

Recently I changed my data pipeline in tensorflow from threading to a new Dataset api, which is pretty convenient once you want to validate your model each epoch. I've noticed that current runtime version of tensorflow in Cloud ML is 1.2.…
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Does Google Cloud ML Engine use grid search for tuning hyperparameters?

The grid search technique is an easy to use and an embarrassingly parallel approach for finding the best set of hyperparameters for machine learning models. Does Google Cloud Machine Learning (ML) Engine use grid search?
osipov
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tensorflow serving uninitialized

Hello I want to initialize variable named result in the code below. I tried to initialize with this code* when I tried to serving. sess.run(tf.global_variables_initializer(),feed_dict= {userLat:0,userLon:0}) I just want to initialize the…
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gcloud ml-engine local predict --text-instances fails with "Could not parse" error

I'm trying to make the tensorflow boston sample (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/tutorials/input_fn) work on google cloudml and I seem to be successfull with the training, but I struggle with the subsequent…
yarc68000
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Modify Tensorflow Code to place preprocessing on CPU and training on GPU

I am reading this performance guide on the best practices for optimizing TensorFlow code for GPU. One suggestion they have is to place the preprocessing operations on the CPU so that the GPU is dedicated for training. To try to understand how one…
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Cloud ML Engine distributed training default type for custom tf.estimator

This article suggests there are three options for distributed training Data-parallel training with synchronous updates. Data-parallel training with asynchronous updates. Model-parallel training. The tutorial then goes on to suggest that the code…
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Running Google Cloud ML training job but getting no stdout output in logs

I've built a trainer and when I submit the job, the job starts and logs get populated. But none of my output to stdout ever appears in the log. I do get messages like "The TensorFlow library wasns't compiled to use AVX2 instructions..." The entire…
Brian Hanechak
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Google Cloud ML Engine: Create model version failed

I have successfully trained a TensorForestEstimator on Google Cloud's ML Engine, but when I try to create a model version I get the following error: Create Version failed. Bad model detected with error: "Error loading the model: Could not load…
jshapy8
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gcloud ml-engine API

Are gcloud ml-engine calls included in the google-cloud client library for python? I currently cannot find any documentation for it (though I see the natural language API). I am trying to replicate the following command in a jupyter notebook via…
reese0106
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GCloud Ml-engine: training output directory

I have have trained from local use command like this: gcloud ml-engine jobs submit training task43 --module-name=train.train --config=config.yaml --job-dir=gs://root-album-8512 --package-path=train --region=asia-east1…
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Where to perform tf.string_split() operation

I am struggling with how to adapt the ML engine examples to use a long text string as an input feature. I am building a custom estimator (like this example) and am looking to understand "best practices" with an eye towards deploying the model -- I…
reese0106
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Code changes needed for custom distributed ML Engine Experiment

I completed this tutorial on distributed tensorflow experiments within an ML Engine experiment and I am looking to define my own custom tier instead of the STANDARD_1 tier that they use in their config.yaml file. If using the tf.estimator.Estimator…
reese0106
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