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wadhwashahir try running this code import os import tensorflow as tf from tensorflow.contrib
import tpu from tensorflow.contrib.cluster_resolver import TPUClusterResolver
def axy_computation(a, x, y): return a * x + y
inputs = [
3.0,
tf.ones([3,
Viacheslav Shalamov I am trying to deploy and run a docker image in a GCP VM instance. I need it to access a specific Cloud Storage Bucket (read and write). How to mount a bucket inside a virtual machine? How do I mount a bucket in a Docker container running i
Viacheslav Shalamov I am trying to deploy and run a docker image in a GCP VM instance. I need it to access a specific Cloud Storage Bucket (read and write). How to mount a bucket inside a virtual machine? How do I mount a bucket in a Docker container running i
Viacheslav Shalamov I am trying to deploy and run a docker image in a GCP VM instance. I need it to access a specific Cloud Storage Bucket (read and write). How to mount a bucket inside a virtual machine? How do I mount a bucket in a Docker container running i
Viacheslav Shalamov I am trying to deploy and run a docker image in a GCP VM instance. I need it to access a specific Cloud Storage Bucket (read and write). How to mount a bucket inside a virtual machine? How do I mount a bucket in a Docker container running i
Viacheslav Shalamov I am trying to deploy and run a docker image in a GCP VM instance. I need it to access a specific Cloud Storage Bucket (read and write). How to mount a bucket inside a virtual machine? How do I mount a bucket in a Docker container running i
Viacheslav Shalamov I am trying to deploy and run a docker image in a GCP VM instance. I need it to access a specific Cloud Storage Bucket (read and write). How to mount a bucket inside a virtual machine? How do I mount a bucket in a Docker container running i
Emixam23： I followed the following two tutorials: https://cloud.google.com/go/docs/tutorials/bookshelf-on-compute-engine https://cloud.google.com/memorystore/docs/redis/creating-managing-instances?authuser=1 My only difference is that I deployed the code for R
Emixam23： I followed the following two tutorials: https://cloud.google.com/go/docs/tutorials/bookshelf-on-compute-engine https://cloud.google.com/memorystore/docs/redis/creating-managing-instances?authuser=1 My only difference is that I deployed the code for R
Emixam23： I followed the following two tutorials: https://cloud.google.com/go/docs/tutorials/bookshelf-on-compute-engine https://cloud.google.com/memorystore/docs/redis/creating-managing-instances?authuser=1 My only difference is that I deployed the code for R
k16 When I try to create a new VM instance from the GCP console, I suddenly get the error "Exceeded quota 'IN_USE_ADDRESSES'. Limit: 23.0" . I already have about 20 VM instances running in my account, but at the moment I can't create new VM instances neither f
Xonan2 I try to stop the GCP VM in terraform with desired_status="TERMINATED" but I get the following error code: error: unsupported parameter In main.tf line 24, in resource "google_compute_instance" "default": 24: desired_status="TERMINATED" A parameter name
Larry Cai I recently took over a GCP project, created snapshots to restore in case of errors, and now I need to restore one of them. Part of this process includes stopping the currently running VM instance. Whenever I do this, the instance automatically starts
Xonan2 I try to stop the GCP VM in terraform with desired_status="TERMINATED" but I get the following error code: error: unsupported parameter In main.tf line 24, in resource "google_compute_instance" "default": 24: desired_status="TERMINATED" A parameter name
k16 When I try to create a new VM instance from the GCP console, I suddenly get the error "Exceeded quota 'IN_USE_ADDRESSES'. Limit: 23.0" . I already have about 20 VM instances running in my account, but at the moment I can't create new VM instances neither f
Xonan2 I try to stop the GCP VM in terraform with desired_status="TERMINATED" but I get the following error code: error: unsupported parameter In main.tf line 24, in resource "google_compute_instance" "default": 24: desired_status="TERMINATED" A parameter name
Xonan2 I try to stop the GCP VM in terraform with desired_status="TERMINATED" but I get the following error code: error: unsupported parameter In main.tf line 24, in resource "google_compute_instance" "default": 24: desired_status="TERMINATED" A parameter name
Xonan2 I try to stop the GCP VM in terraform with desired_status="TERMINATED" but I get the following error code: error: unsupported parameter In main.tf line 24, in resource "google_compute_instance" "default": 24: desired_status="TERMINATED" A parameter name
Santosh Gupta 7 I'm switching from running TPU in colab to running TPU in google cloud. I'm used to running the training in colab jupyter notebook, but from the GCP TPU quick start guide, I need to use a shell script and convert my code into a script. https://
Sloan Ahrens I'm trying to start Elasticsearch 2.0 up and running in a Vagrant VM. The method I was using in 1.7 doesn't work anymore, so I'm trying to update my method. I can install ES 2.0 in the VM and it seems to work fine inside the VM, but I can't access
Sloan Ahrens I'm trying to start Elasticsearch 2.0 up and running in a Vagrant VM. The method I was using in 1.7 doesn't work anymore, so I'm trying to update my method. I can install ES 2.0 in the VM and it seems to work fine inside the VM, but I can't access
Nail Aribzhanov After installing the Google Deep Learning VM, I am trying to open Jupyter Lab. I run the following code in my browser's SSH terminal: export PROJECT_ID="name"
export ZONE="us-west1-b"
export INSTANCE_NAME="tensorflow-1-vm"
gcloud compute ssh --
gene S I'm trying to pull a container from a gcloud VM's private gcloud registry using a service account for authentication. VM and registry are in the same project. No matter what I do I will get it Error response from daemon: unauthorized. XXX@sandbox:~$ gcl
Nail Aribzhanov After installing the Google Deep Learning VM, I am trying to open Jupyter Lab. I run the following code in my browser's SSH terminal: export PROJECT_ID="name"
export ZONE="us-west1-b"
export INSTANCE_NAME="tensorflow-1-vm"
gcloud compute ssh --
Sloan Ahrens I'm trying to start Elasticsearch 2.0 up and running in a Vagrant VM. The method I was using in 1.7 doesn't work anymore, so I'm trying to update my method. I can install ES 2.0 in the VM and it seems to work fine inside the VM, but I can't access
Nail Aribzhanov After installing the Google Deep Learning VM, I am trying to open Jupyter Lab. I run the following code in my browser's SSH terminal: export PROJECT_ID="name"
export ZONE="us-west1-b"
export INSTANCE_NAME="tensorflow-1-vm"
gcloud compute ssh --
gene S I'm trying to pull a container from a gcloud VM's private gcloud registry using a service account for authentication. VM and registry are in the same project. No matter what I do I will get it Error response from daemon: unauthorized. XXX@sandbox:~$ gcl
gene S I'm trying to pull a container from a gcloud VM's private gcloud registry using a service account for authentication. VM and registry are in the same project. No matter what I do I will get it Error response from daemon: unauthorized. XXX@sandbox:~$ gcl
Nail Aribzhanov After installing the Google Deep Learning VM, I am trying to open Jupyter Lab. I run the following code in my browser's SSH terminal: export PROJECT_ID="name"
export ZONE="us-west1-b"
export INSTANCE_NAME="tensorflow-1-vm"
gcloud compute ssh --