Stack Overflow
Stack Overflow

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.

185 questions
1
vote
2 answers

How to use Google DataFlow Runner and Templates in tf.Transform?

We are in the process of establishing a Machine Learning pipeline on Google Cloud, leveraging GC ML-Engine for distributed TensorFlow training and model serving, and DataFlow for distributed pre-processing jobs. We would like to run our Apache Beam…
Josh Reuben
  • 289
  • 2
  • 8
1
vote
1 answer

How to interpret Google Cloud ML Prediction results?

I worked through the GC ML Census Wide & Deep Learning example https://github.com/GoogleCloudPlatform/cloudml-samples/tree/master/census Given census data about a person such as age, gender, education and occupation (the features), this…
Josh Reuben
  • 289
  • 2
  • 8
1
vote
1 answer

Google Cloud ML scipy.misc.imread returning

I am running the following snippet: import tensorflow as tf import scipy.misc from tensorflow.python.lib.io import file_io file = file_io.FileIO('gs://BUCKET/data/celebA/000007.jpg', mode='r') img = scipy.misc.imread(file) If I run that snippet in…
psoulos
  • 800
  • 8
  • 16
0
votes
0 answers

Google cloud ML engine not working

I have been train a convolution neural network I developed using tensorflow on Google cloud ML engine for a while but it's not working. My job runs successfully till it reaches the point in my code where I'm running training ops, eval ops etc. on my…
ltt
  • 417
  • 3
  • 12
0
votes
1 answer

gcloud local prediction

I trained a Pet dataset onto Google cloud, downloaded the trained model to local PC, using gcloud. Task: To classify test set, locally with the trained model A) If I use gcloud like $ gcloud ml-engine local predict --model-dir=saved_model/…
Nayeem
  • 91
  • 14
0
votes
1 answer

Tensorflow Canned Estimator problems running with multiple workers on Google cloud ml engine

I am trying to train a model using the canned DNNClassifier estimator on the google cloud ml-engine. I am able to successfully train the model locally in single and distributed mode. Further I am able to train the model on the cloud with the…
MarquesDeCampo
  • 41
  • 4
0
votes
0 answers

Training job hangs when restoring parameters from a Tensorflow ckpt file

I'm trying to train a YOLO model with the PASCAL VOC dataset using Tensorflow on Google Cloud ML Engine but my training job keeps hanging at "Restoring parameters from /root.../yolo_tiny.ckpt". Is there a reason for this? I've been waiting for the…
Steven Chen
  • 397
  • 1
  • 6
  • 19
0
votes
1 answer

Do GCP ML Engine online predictions support API keys?

I'm attempting to make online predictions using https://ml.googleapis.com/v1/projects//models//versions/:predict?key= I created a service account with full ML Engine Admin access, then generated an unrestricted API…
Kai
  • 9,038
  • 5
  • 28
  • 28
0
votes
1 answer

Trouble scaling wide and deep model to train on google cloud ML

I'm trying to build a wide and deep tensorflow model and train it on google cloud. I've been able to do this and train smaller dev versions. However i'm now trying to scale up to more data and more training steps and my online training jobs keep…
andrewm4894
  • 1,451
  • 4
  • 17
  • 37
0
votes
0 answers

TensorFlow 1.2 Datasets with map function issue

I have the following piece of code which works in tf1.3 and tf1.4. When I try it in t1.2, the code runs but just hangs. I am only using tf1.2 because I want test to on Google cloud ml-engine and the engine only supports tf1.2 at this stage: Here is…
MarquesDeCampo
  • 41
  • 4
0
votes
2 answers

How to get a specific machine type for ML Engine online prediction?

Is there an option to request a faster node for online prediction in ML Engine? For example, when training I can configure any of these machines for my job: standard, large_model, complex_model_s, complex_model_m, complex_model_l, …
Mike Kroutikov
  • 1
  • 2
0
votes
1 answer

Error while tensorflow training on gcloud ml engine

I am following this ml-engine guide. I did setup my gcloud and created vm also. For tensorflow, I am using Anaconda 3 to create my python environment. I created new environment with python=3.6. But when I fire this gcloud ml-engine local train…
Shahnaz Khan
  • 1,055
  • 1
  • 14
  • 26
0
votes
0 answers

Keras google cloudml sample: Prediction failed

I'm trying the keras cloudml sample (https://github.com/GoogleCloudPlatform/cloudml-samples/tree/master/census/keras) and after a bug fix (Keras google cloudml sample: IndexError) the cloud training works and I can successfully create a model, but I…
yarc68000
  • 15
  • 5
0
votes
0 answers

Google cloud ML slow cpu operations

I am training a Tensorflow model with, unfortunately, many CPU operations. On my local machine, I compiled Tensorflow from source with support for SSE4.2/AVX/FMA to make training run faster. When I train on gcloud via their ML engine service, I am…
exe163
  • 1,781
  • 3
  • 12
  • 5
0
votes
1 answer

Does Google Cloud ML only support distributed Tensorflow for Multiple GPU training jobs?

I'd like to run a Tensorflow application using multiple GPU's on Cloud ML. My Tensorflow application is written in the non-distributed paradigm, that is outlined here From what I understand if I want to use Cloud ML to run this same application,…
7hacker
  • 1,928
  • 3
  • 19
  • 32
1 2 3
…
12 13