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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Training google Object Detection API grpc error

I was following google's Object Detection API retraining on my own dataset but have encountered a series of problems. One of them is the following: "Traceback (most recent call last): File "/usr/lib/python2.7/runpy.py", line 162, in…
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Can tfdbg be run with Cloud ML Engine training job?

I cannot find any examples of the tfdbg tool being run with a cloud ML engine. This post shows how to wrap a tensorflow session with the debugger, but I have not encountered any way to run an ML engine package in debug mode. Has anybody found a way…
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Tensorflow Keras API on Google cloud

I have a question on using tensorflow on google cloud platform. I heard that Google cloud tensorflow doesnt support Keras (keras.io). However, now i can see that Tensorflow has its own API to access Keras…
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Google credentials: Authorization from Cloud ML engine instance

I have a trainer application for Cloud ML engine in which I have to use the kms to decrypt my files in Google cloud storage. I'm able to download the files in GCS using tensorflow.python.lib.io.file_io without providing any credentials, as the…
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Internal Error on Google Cloud ML

I am getting an error "Internal error occurred for the current attempt" while submitting a job on google cloud ML. Can anyone help me on this ???
Appu
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Unable to download Google Cloud Storage file from the trainer application in Cloud ML Engine

I'm trying to download a file from Cloud Storage from my trainer application which runs in Cloud ML engine. However I'm getting the following error when I try to download the file. I do have access to the Cloud Storage…
Fayaz Ahmed
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"Connection reset by peer on adapted standard ML-Engine object-detection training

My goal is to test a custom object-detection training using the Google ML-Engine based on the pet-training example from the Object Detection API. After some successful training cycles (maybe until the first checkpoint, since no checkpoint has been…
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How to upload input file for batch prediction in gcloud ml-engine?

I'm trying to create a batch prediction job in google cloud ml-engine. Unfortunately, I always get the same error: { insertId: "wr85wwg6shs9ek" logName: "projects/tensorflow-test-1-168615/logs/ml.googleapis.com%2Ftest_job_23847239" …
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How can I use cloud sql data in tensorflow? for a model of machine running

i need advice. Beginner on the Google platform. Is there any other way to use data from a database created in cloud sql as training data for cloud ml engine? should I export the data as a CSV file and put it into the input of the tensorflow…
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tensorflow serving prediction not working with object detection pets example

I was trying to do predictions on gcloud ml-engine with the tensorflow object detection pets example, but it doesn't work. I created a checkpoint using this example:…
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Online prediction with Data stored in Bucket

As per my understanding Online prediction works with json data. Currently i am running online prediction on local host, where each image get converted to json. ML engin API use this json from localhost for prediction. Internally ML engine API might…
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GCP : PYTHONPATH screwed up when run program by "gcloud ml-engine local train"

This is my project structure : └──myfolder └──myproject ├── __init__.py ├── tester.py ├── learners │   ├── __init__.py │   ├── bag_learner.py │   ├── dqn_learner.py │   ├── q_learner.py …
user3595632
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ML Engine batch prediction job error

I'm encountering a frustrating error when submitting a batch prediction job to GCP ML Engine. The job successfully queues but fails with: Forbidden: 403 The caller does not have permission (POST https://logging.googleapis.com/v2/entries:write)…
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Deep networks on Cloud ML

I am trying to train a very deep model on Cloud ML however i am having serious memory issues that i am not managing to go around. The model is a very deep convolutional neural network to auto-tag music. The model for this can be found in the image…
Mark
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rnn translate showing data_utils not found in google-cloud-ml-engine

I want to create a chatbot using Tensorflow.I am using the code in 'github.com/tensorflow/models/tree/master/tutorials/rnn/translate'.While running the code in google-cloud-ml-engine I am getting an exception '/usr/bin/python: No module named…