Error on terraform apply on vpcaccess.googleapis.com service

Question

I am trying to deploy exposure server on our own gcp account. I am pretty new to gcp and terraform. And I got stuck on the error after I execute terraform apply. Our gcp account have been enabled billing. And I have follow every steps from the official docs and deploying with terraform then I got until the errors below.

null_resource.migrate (local-exec): Finished Step #1 - "migrate"
null_resource.migrate (local-exec): PUSH
null_resource.migrate (local-exec): DONE
null_resource.migrate (local-exec): -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

null_resource.migrate (local-exec): ID                                    CREATE_TIME                DURATION  SOURCE                                                                                IMAGES  STATUS
null_resource.migrate (local-exec): 16082944-ccd9-4c81-bdd1-741514d590ed  2020-08-30T16:32:31+00:00  1M52S     gs://gaen-project-name_cloudbuild/source/1598805146.595107-09c406fd75a34731976a71eb5e92cc9c.tgz  -       SUCCESS
null_resource.migrate: Creation complete after 2m1s [id=1281597494475427654]

Error: Error running command './../scripts/build': exit status 1. Output: ✋ Uncommitted local changes!

Error: Request "Enable Project Service \"vpcaccess.googleapis.com\" for project \"gaen-project-name\"" returned error: failed to send enable services request: googleapi: Error 400: Another activation or deactivation is in progress for the following service(s):
vpcaccess.googleapis.com and project gaen-project-name., failedPrecondition

  on main.tf line 27, in resource "google_project_service" "services":
  27: resource "google_project_service" "services" {

Below is the command that I have executed so far.
// history
   66  git clone git@github.com:google/exposure-notifications-server.git
   67  cd exposure-notifications-server/
   68  git checkout tags/v0.5.1
   69  git status
   70  unset GOOGLE_APPLICATION_CREDENTIALS
   71  export PROJECT_ID="gaen-project-name"
   72  gcloud auth login && gcloud auth application-default login
   73  cd terraform/
   74  echo "project = \"${PROJECT_ID}\"" >> ./terraform.tfvars
   75  echo 'generate_cron_schedule = "*/15 * * * *"' >> ./terraform.tfvars
   76  cat terraform.tfvars
   77  gsutil mb -p ${PROJECT_ID} gs://${PROJECT_ID}-tf-state
   78  cat <<EOF > ./state.tf
terraform {
  backend "gcs" {
    bucket = "${PROJECT_ID}-tf-state"
  }
}
EOF

   79  terraform init
   80  history
   81  terraform apply

Any thoughts how can I continue with?

Hi @besingamkb
My guess is that you're seeing that error because of the error above. It looks like you have uncommitted local changes in your repo, which is preventing the migrations from running.

@sethvargo thanks i think it works. but I got a new error now.
Error: Error creating Connector: googleapi: Error 409: Requested entity already exists

Hmm @besingamkb - did you ctrl+c or interrupt Terraform? That error is happening because the VPC connector already exists. You can try deleting it in the UI and re-running Terraform.

hi @sethvargo i haven't interrupt terraform. can you point me out where should I go and delete it? because on my serverless VPC access overview page I dont see anything..

Can you share the full error output? Are you sure you're in the correct GCP project?

here is what I am getting now and yes I am on the same GCP project.
  # google_vpc_access_connector.connector will be created
  + resource "google_vpc_access_connector" "connector" {
      + id             = (known after apply)
      + ip_cidr_range  = "<IP_ADDRESS>/28"
      + max_throughput = 1000
      + min_throughput = 200
      + name           = "serverless-vpc-connector"
      + network        = "default"
      + project        = "aex-gaen-server-ph"
      + region         = "asia-east1"
      + self_link      = (known after apply)
      + state          = (known after apply)
    }

Plan: 23 to add, 0 to change, 0 to destroy.

Do you want to perform these actions?
  Terraform will perform the actions described above.
  Only 'yes' will be accepted to approve.

  Enter a value: yes

google_vpc_access_connector.connector: Creating...

Error: Error creating Connector: googleapi: Error 409: Requested entity already exists

  on main.tf line 71, in resource "google_vpc_access_connector" "connector":
  71: resource "google_vpc_access_connector" "connector" {

Releasing state lock. This may take a few moments...

Can you run with TF_LOG=debug, put the output in a gist, and paste the link here?

sorry for late reply @sethvargo  i'll inform you later i just got an crash issue after I terminate a terraform apply using ctrl + c

Can you please share the logs?

Hi @sethvargo here is the log file you requested. https://gist.github.com/besingamkb/442c39ce0a614b86d3a3cc485bf6dd4a I ended up creating new project because of the crash I encounter on the previous project aex-gaen-server-ph. The new project name i created is  named gaen-ph
below is the history for the new created project on gcp.
  118  git clone git@github.com:google/exposure-notifications-server.git gaen-ph
  119  cd gaen-ph/
  120  unset GOOGLE_APPLICATION_CREDENTIALS
  121  echo $PROJECT_ID
  122  export PROJECT_ID="gaen-ph"
  123  echo $PROJECT_ID
  124  gcloud auth login && gcloud auth application-default login
  125  cd terraform/
  126  echo "project = \"${PROJECT_ID}\"" >> ./terraform.tfvars
  127  echo 'generate_cron_schedule = "*/15 * * * *"' >> ./terraform.tfvars
  128  gsutil mb -p ${PROJECT_ID} gs://${PROJECT_ID}-tf-state
  129  cat <<EOF > ./state.tf
terraform {
  backend "gcs" {
    bucket = "${PROJECT_ID}-tf-state"
  }
}
EOF

  130  git status
  131  git tags -l
  132  git tag -l
  133  git checkout tags/v0.6.0
  134  git status
  135  git commit -am "region changes"
  136  export TF_LOG=DEBUG
  137  export TF_LOG_PATH=~/terraform-gaen-ph.log
  138  terraform init
  139  git status
  140  terraform apply

Hi @besingamkb
I don't see any errors or failures in that log output.

@sethvargo i have updated the gist can u check again?. i'll try to change the TF_LOG=TRACE and see if it show more than debug

I think your gist may be getting truncated. I only see 7k lines and none of them contain the [ERR string.

@sethvargo oh yes here is the raw link of the log https://gist.githubusercontent.com/besingamkb/442c39ce0a614b86d3a3cc485bf6dd4a/raw/50c7d27f3ea463c605f00d870a4f0dbfc32fc342/gistfile1.txt

Do you already have a network using <IP_ADDRESS>/28 (or overlapping)?

i dont think so but im not sure. I dont see any data on VPC Network > Serverless VPC Access. Should I create it manually?

You can try creating it manually. I'm curious if you'll see the same error in the UI.

I got this when creating it manually

I also got the same error
Error: Error creating Connector: googleapi: Error 409: Requested entity already exists

  on main.tf line 71, in resource "google_vpc_access_connector" "connector":
  71: resource "google_vpc_access_connector" "connector" {

Can you try deleting it from the UI now? I think your connector is in a partial state and I'm hoping deleting it from the UI deletes it. After that, wait about a minute before trying Terraform again.

it still got the error. here's the updated raw terraform.log https://gist.githubusercontent.com/besingamkb/442c39ce0a614b86d3a3cc485bf6dd4a/raw/c702bb28e270565a2767113ba7d5517943f1d822/gistfile1.txt
do you think it might be the region? because I set the region in asia-east-1 and asia-east-2

actually i tried change the network_location from asia-east-1 to asia-east-2. and I a different error now.
Error: Error waiting to create Connector: Error waiting for Creating Connector: Error code 13, message: An internal error occurred: Failed to create a VPC Access connector. Please delete the connector manually.

  on main.tf line 71, in resource "google_vpc_access_connector" "connector":
  71: resource "google_vpc_access_connector" "connector" {

and I see this on the serverless VPC access page

@sethvargo actually i dont have an organization on my gcp account as of the moment

Hmmm. I wonder if that's a requirement for VPC connectors. @mikehelmick do you know?

Sounds like related to the region, could you try us-central1 instead?

i tried creating new project again on gcp .. now I didnt change any region and I got this error..
Error: Error waiting to create Connector: Error waiting for Creating Connector: Error code 7, message: Operation failed: Google APIs Service Agent<EMAIL_ADDRESS>needs editor role in the project.

  on main.tf line 71, in resource "google_vpc_access_connector" "connector":
  71: resource "google_vpc_access_connector" "connector" {

It's very possible that our configurations require an organization.

It works for us for a projects both inside and outside org (our prod is inside org, old dev is outside org for legacy reasons). I do remember having some troubles with it too when trying to bootstrap everything on one terraform apply. I think I had to apply everything, wait for this error, manually delete the connector and apply again (took 2-3 applies before it work), I suspect some weird dependency outside of allowing "vpcaccess.googleapis.com" API and waiting for it be ready.

I'm not sure the best path forward. I'm unable to reproduce this, and we haven't had other users report this, which leads me to believe it's some kind of configuration with your org or account.

I am contacting my manager to get gsuite for organization. can we still open this issue i'll update once I got organization ready

If you have a gsuite account, I believe you have to have an organization. It should be the domain for your gsuite account.

It works for us for a projects both inside and outside org (our prod is inside org, old dev is outside org for legacy reasons). I do remember having some troubles with it too when trying to bootstrap everything on one terraform apply. I think I had to apply everything, wait for this error, manually delete the connector and apply again (took 2-3 applies before it work), I suspect some weird dependency outside of allowing "vpcaccess.googleapis.com" API and waiting for it be ready.

i have tried this several times now. i'll keep trying i hope i got it work on my end too.

i have made some progress here. what I did is I add vpc_access_connector_max_throughput= 300 on terraform.tfvars that I have read here https://github.com/google/exposure-notifications-server/issues/639
It finally create a serverless VPC access that is not on the bad state and the error got different. please see below..
Error: Error waiting to create Service: resource is in failed state "Ready:False", message: Cloud Run error: Container failed to start. Failed to start and then listen on the port defined by the PORT environment variable. Logs for this revision might contain more information.

  on service_cleanup_export.tf line 67, in resource "google_cloud_run_service" "cleanup-export":
  67: resource "google_cloud_run_service" "cleanup-export" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_cleanup_exposure.tf line 61, in resource "google_cloud_run_service" "cleanup-exposure":
  61: resource "google_cloud_run_service" "cleanup-exposure" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_export.tf line 73, in resource "google_cloud_run_service" "export":
  73: resource "google_cloud_run_service" "export" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_exposure.tf line 73, in resource "google_cloud_run_service" "exposure":
  73: resource "google_cloud_run_service" "exposure" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_federationin.tf line 61, in resource "google_cloud_run_service" "federationin":
  61: resource "google_cloud_run_service" "federationin" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_federationout.tf line 61, in resource "google_cloud_run_service" "federationout":
  61: resource "google_cloud_run_service" "federationout" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_generate.tf line 61, in resource "google_cloud_run_service" "generate":
  61: resource "google_cloud_run_service" "generate" {

Error: Error creating Service: googleapi: Error 409: Resource 'default-2018-11-05' already exists.

  on service_keyrotation.tf line 73, in resource "google_cloud_run_service" "key-rotation":
  73: resource "google_cloud_run_service" "key-rotation" {

it is working on my end now.
this works for me. adding this into the terraform.tfvars vpc_access_connector_max_throughput= 300


Signal connection editor - include signals parameters in the function when creating a new function

Some signals in godot can emit values when they are emitted. Those values are fed to the function that they can trigger in other nodes.
If those are not included in the parameters of the function that is triggered, the signal doesnt seem to trigger the function at all.
The signal connection editor can automatically create a function in a script. When it creates it however, it doesn't include any of the parameter values of the signal that emits it.
It would be a nice user friendly addition to godot's editor and gdscript if it could:

establish the signal's parameters when initializing it in gdscript
signal mySignal ["param1","param2","param3"]
or if you dont want to , you can still do:
signal mySignal
When the signal connection editor creates a new function, include those parameters in the function
func _on_mySignal(param1,param2,param3):

Apologies if this is in godot already, i cant seem to find it.

@akien-mga Yes, just had this same issue. It seems like even if I add the extra argument to the function it auto generates, it still doesn't get called at all

Doesn't this work for point one?
signal x(a, b, c)

Both of those things are currently present in master.

Fixed by #22163.


⚠ Mobitopup has degraded performance

In 99df58c, Mobitopup (https://napcard.voz.tech) experienced degraded performance:

HTTP code: 200
Response time: 3950 ms

Resolved: Mobitopup performance has improved in f8c9176.


[C#] Cannot convert type 'Godot.Variant' to 'AnimationNodeStateMachinePlayback'

Godot version
v4.0.beta3.mono.official [01ae26d31]
System information
Windows 11
Issue description
The return type of Get function is Variant.
But AnimationNodeStateMachinePlayback inherits from Resource...
Cannot convert type 'Godot.Variant' to 'AnimationNodeStateMachinePlayback'
Steps to reproduce
code in official document:
var stateMachine = GetNode<AnimationTree>("AnimationTree").Get("parameters/playback") as AnimationNodeStateMachinePlayback;
stateMachine.Travel("some_state");

The above code will throw an error
Cannot convert type 'Godot.Variant' to 'AnimationNodeStateMachinePlayback' via a built-in conversion
Minimal reproduction project
No response

You should be able to use the Variant.Obj property, so it should probably be something like this:
var stateMachine = GetNode<AnimationTree>("AnimationTree").Get("parameters/playback").Obj as AnimationNodeStateMachinePlayback;
stateMachine.Travel("some_state");

Keep in mind the documentation hasn't been updated for 4.0 yet so there are probably many other outdated pages.

Hey raulsntos, thanks for your reply. I got the code from the documentation comments and I thought it was up to date. Should I close this issue?

No, we can keep it open to track that this part of the documentation needs to be updated. It's a valid issue, thank you for reporting it because otherwise we could have missed it.


Update origins.js

Most, but not all, of the websites in origins.js are in alphabetical order if considering the domain name or the company/service's name.
I think I arranged all the ones that weren't so that they are now in order alphabetically by at least one of domain name and company/service name.
Please remember the Contributing Guidelines :heart:
:star2: What does this PR do?

Rearrange the websites in origins.js that are neither sorted by domain name nor company/service name so that they are now sorted according to at least one of domain name and company/service name.

:bug: Recommendations for testing
All changes should be tested across Chrome and Firefox.

:memo: Links to relevant issues or information
What the Integrations List Looks Like Before This Change

Chrome Integration Test

Firefox Integration Test

#1820


Is it possible to compile Imgproxy to wasm?

I'm looking for a way to host Imgproxy at the Edge and wasm is one option (or Rust).
I haven't coded in golang so i got question, is it possible to compile it to wasm?

Hey @ambrt!
While you can write WASM apps in Go, it's hardly possible to compile imgproxy to WASM. There are lots of reasons for that: external dependencies, IO operations (which are very tricky in WASM), etc.


Update default parameters

In hicodet/detection/preprocessing.py, the default threshold for box scores is 0.2 whereas in hicodet/detection/eval_detections.py it's 0.05

Also, in hicodet/detection/preprocessing.py, the default milestones should be updated


Sync deprecation notice to Chinese readme

Add deprecation notice to Chinese readme.

Thanks @gymgle!  Through the magic of google translate:
note
The warehouse is out of date. This only guides you through how to write Hyperledger Fabric v0.6 chain code. For information on how to write the latest version of the chain, see [Hyperledger Documentation]

Sounds close enough for me!


Make an AnimatedList.seperated() constructor

Use case
A seperated AnimatedList would be very useful for great UI's, and we don't have to use tiles (or whatever widget) all jumbled together.
I am using the firestore_ui package and noticed that they only used an AnimatedList and I was wondering if an AnimatedList.seperated() constructor existed so I could fork the package and add it but it turns out there isn't.

Proposal
Add an AnimatedList.seperated() constructor like ListView has so we can place a spacer like a SizedBox with a defined height.

Workaround
If you're using a Container, you can add a bottom margin so instead of this:

You get:

https://github.com/flutter/flutter/blob/7877a076a641d7ab4ff8572f48858c7371258bed/packages/flutter/lib/src/widgets/animated_scroll_view.dart#L152-L165


Un-Link Analysis Private DNS Zone from Private DNS Resolver VNet

Due to a DNS resolution issue with how the PowerBI.com service, it is recommended that we remove the Private DNS Zone by setting the value of settings.dns.config.enable_private_link_by_service.microsoft_power_bi in configure_connectivity_resources to false.
Related to: https://github.com/Azure/terraform-azurerm-caf-enterprise-scale/issues/1212

Updates in FORGE and LIVE have been completed. Verified that PowerBI.com and the Data Gateway installation log-in tested and confirmed as working post-deployment.


Support for Whitespace Control

Shopify introduced some new syntax to control whitespace in rendered Liquid docs:
https://help.shopify.com/themes/liquid/basics/whitespace e.g.
{%- comment -%}
  {{- someVariable -}}
{%- endcomment -%}

@puranjayjain I would make a PR but my regex skills are poor! Note that they say "If you don't want any of your tags to output whitespace, as a general rule you can add hyphens to both sides of all your tags ({%- and -%}):" — so, I guess in the snippets it would be nice if they expanded with these as standard. What do you think?

Go ahead give it a shot. Yes I agree there should a mechanism for that. More and more languages are supporting whitespace control so it should be in built


Add daily graph and fix minor issue

Add daily graph for deltaConfirmed and deltaRecovere https://github.com/rizmaulana/kotlin-mvvm-covid19/issues/17

Resolve https://github.com/rizmaulana/kotlin-mvvm-covid19/issues/25

Add send feedback feature, will share link response soon

Seems .gitignore not working properly, will create separate PR to fix them

Add daily graph for deltaConfirmed and deltaRecovere #17

Resolve #25
Add send feedback feature, will share link response soon

Seems .gitignore not working properly, will create separate PR to fix them

Nicely done!! 🎉 🥇

Add daily graph for deltaConfirmed and deltaRecovere #17

Resolve #25
Add send feedback feature, will share link response soon

Seems .gitignore not working properly, will create separate PR to fix them

Nicely done!! 🎉 🥇

Thanks mas, need your code review 🙏

Oh I see you do not make it as view holder because it is like visual map fragment
Sorry for noticing it just now @rizmaulana recycleview only in bottom sheet behavior

actually, i was kinda imagining the other graph, i was more interested in graph showing total number of cases (not daily update) but i notice that's different api and feature, haha, so other than my missed imagination, this PR is good to go, great work @rizmaulana
just try to consider some suggestion in code review

and also dont forget to mark it as Resolve #17

Oh I see you do not make it as view holder because it is like visual map fragment
Sorry for noticing it just now @rizmaulana recycleview only in bottom sheet behavior

Yes, it is. Still don't have idea how to implement view holder with fixed layout 😅

Oh I see you do not make it as view holder because it is like visual map fragment
Sorry for noticing it just now @rizmaulana recycleview only in bottom sheet behavior

Yes, it is. Still don't have idea how to implement view holder with fixed layout 😅

Me too 😆 ahahahaha

Cool image app preview!! @rizmaulana 🎉 🎉

Sure mas @pandubaraja will modif image preview soon 🙏


Reproducing results in the paper

Hi, thank you for the great work.
I followed the default parameters in the config file and trained on SRN chairs single-view. However, I did not get the same results as in the paper at the end.
PSNR_novel: 18.43
LPIPS_novel: 0.10
SSIM_novel: 0.89

I wonder if the hyperparameters used to train your model differ from the default in the config file? Can you please provide the hyperparameters that you used?

and my lpips loss remains unchanged during training, how about your training loss curves? Many thanks!

and my lpips loss remains unchanged during training, how about your training loss curves? Many thanks!

Hi, lpips loss does not get applied until 800K steps so you won't see any change until then

Setting up [LPIPS] perceptual loss: trunk [vgg], v[0.1], spatial [off] [10/01 17:01:14]
/home/dubaiprince/miniconda3/envs/gsgen/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
/home/dubaiprince/miniconda3/envs/gsgen/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
Loading model from: /home/dubaiprince/miniconda3/envs/gsgen/lib/python3.9/site-packages/lpips/weights/v0.1/vgg.pth [10/01 17:01:15]
Beginning training [10/01 17:01:15

My code is stuck here

@ngailapdi can you share what command you used to train the model? how many iterations did you train for? what do your validation PSNR curves look like? Do the visualisations look reasonable?

Hi! That's amazing you can train the network! Have you encountered any problem of being killed when training? Thanks!

I was experiencing similar issues, whereby I thought some memory leak was hoarding my CPU memory. I found out that it is due to the implementation of the dataset class in srn.py -- specifically, the load_example_id(...) function. I changed the script to not cache specific entries. I guess more CPU memory could also relieve this, but probably wouldn't work with gigantic datasets.

At a glance, the parameters in the provided config should take you to the same results as in the paper. @ngailapdi can you share what command you used to train the model? how many iterations did you train for? what do your validation PSNR curves look like? Do the visualisations look reasonable? Can you share your config.yaml file that the code output?

Hi, thank you for your response. This is the command I use to train the model on SRN chair
python train_network.py +dataset=[chairs]
I trained for 1,000,000 iterations, here is the PSNR novel curve

and here is the visualization at the last iteration

and here is the output config.yaml. I just took a look at the appendix, it seems like the learning rate in the default config is different from the one reported in the appendix (5e-5 vs 2e-4), I'm not sure with 1M iterations if this will make a big difference.
wandb_version: 1

wandb:
  desc: null
  value:
    project: gs_pred
cam_embd:
  desc: null
  value:
    embedding: null
    encode_embedding: null
    dimension: 0
    method: null
general:
  desc: null
  value:
    device: 0
    random_seed: 0
data:
  desc: null
  value:
    training_resolution: 128
    fov: 51.98948897809546
    subset: -1
    input_images: 1
    origin_distances: false
    rescale_to_cars: false
    set_to_pm_1_range: true
    transform_shs: true
    depth_rendering: false
    znear: 1.25
    zfar: 2.75
    category: chairs
    white_background: true
opt:
  desc: null
  value:
    iterations: 1000001
    base_lr: 5.0e-05
    batch_size: 8
    betas:
    - 0.9
    - 0.999
    loss: l2
    imgs_per_obj: 4
    ema:
      use: true
      update_every: 10
      update_after_step: 100
      beta: 0.9999
    lambda_lpips: 0.01
    start_lpips_after: 800001
    pretrained_ckpt: null
    step_lr_at: 800001
diffusion:
  desc: null
  value:
    channel_mult_noise: 0
model:
  desc: null
  value:
    max_sh_degree: 1
    inverted_x: false
    inverted_y: true
    name: SingleUNet
    out_channels: 64
    opacity_scale: 0.001
    opacity_bias: -2.0
    scale_bias: 0.02
    scale_scale: 0.001
    xyz_scale: 1.0e-06
    xyz_bias: 0.0
    depth_scale: 1.0
    depth_bias: 0.0
    network_without_offset: false
    network_with_offset: true
    attention_resolutions:
    - 16
    num_blocks: 4
    cross_view_attention: true
    base_dim: 128
    isotropic: false
    anneal_opacity: true
logging:
  desc: null
  value:
    ckpt_iterations: 1000
    val_log: 10000
    loss_log: 10
    loop_log: 10000
    render_log: 10000
_wandb:
  desc: null
  value:
    python_version: 3.10.13
    cli_version: 0.16.1
    framework: huggingface
    huggingface_version: 4.33.3
    is_jupyter_run: false
    is_kaggle_kernel: false
    start_time:<PHONE_NUMBER>.939141
    t:
      1:
      - 1
      - 11
      - 41
      - 49
      - 50
      - 55
      - 105
      2:
      - 1
      - 11
      - 41
      - 49
      - 50
      - 55
      - 105
      3:
      - 2
      - 5
      - 14
      - 16
      - 23
      4: 3.10.13
      5: 0.16.1
      6: 4.33.3
      8:
      - 5
      13: linux-x86_64

OK thanks for letting me know. at a glance the hyper parameters look fine. No camera embedding is needed. I'll dig in on my side and get back to you.

@szymanowiczs I am trying to understand the parameters used in the configs/dataset folder. How did you precisely identify zfar and znear? How did you find them impacting your results?

Hi @ngailapdi can you pull the latest version of the code and try again? I ran training with the released code and got results like these: blue is cars, grey is chairs. So within 100k iterations you should expect to get novel PSNR on the validation set of 22.8 for cars and 22.0 for chairs. Let me know if it works for you.

My code is stuck here

@yuchenlichuck is the code actually stuck or are just not seeing any print statements? if you're not seeing any print statements that's fine - the code doesn't print output until 10k iterations in when it begins validation.

Yes, you are right, it fixed now

Great, I'm closing the issue for now - if you encounter further issues with reproducing results on ShapeNet classes feel free to reopen it.

Hi! Thanks again for the great work!
I'm reopening this issue again as I ran the training using default parameters twice, but neither of which gets the same result on SRN-cars and SRN-chairs test dataset as reported in the paper (especially PSNR and LPIPS metrics). Please see the results below. Evaluating using the released checkpoint gets very similar results though.

I'd really appreciate it if you could provide some insights about this issue. Thank you in advance!

Thanks for highlighting. I'll look into this - my intuition is that this could be due to stochasticity in training, so I'll see if there is a way to fix it to make sure results can be reproduced exactly.

Thanks for your response! I will look forward to that!


JDK8 Hotspot tests not excluded

Describe the bug
Over the past few nightlies, I've noticed a few tests that are excluded in the ProblemList_openjdk8 running in the nightlies. These are:

com/sun/jdi/JdbMethodExitTest.sh. Originally excluded in https://github.com/AdoptOpenJDK/openjdk-tests/pull/1733, seen in the nightlies the next day. Tried again in https://github.com/AdoptOpenJDK/openjdk-tests/pull/1749, seen in the nightlies the day after.
com/sun/jdi/Redefine-g.sh. Originally excluded in https://github.com/AdoptOpenJDK/openjdk-tests/pull/1733, seen in the nightlies the next day. Tried again in https://github.com/AdoptOpenJDK/openjdk-tests/pull/1749, seen in the nightlies the day after.
com/sun/jdi/EvalArraysAsList.sh. Originally excluded in https://github.com/AdoptOpenJDK/openjdk-tests/pull/1733, seen in the nightlies again.

To Reproduce
Steps to reproduce the behavior (or Grinder rerun link):

Go to https://ci.adoptopenjdk.net/view/Test_openjdk/
Scroll down to the JDK8-hotspot tests
Most of the yellow unstable builds are caused by these tests not being excluded.

Expected behavior
tests are excluded from running in the nightlies

@sophia-guo Can you take a look at https://github.com/AdoptOpenJDK/openjdk-tests/blob/master/openjdk/ProblemList_openjdk8.txt and see if it's my syntax?


Create 'headroom' for committed RAM as well as possibly cores and disk

Not all RAM/cores/disk reported via Ralph should be allocatable by CF. The scan_site utility should offer an option to specify headroom in those dimensions as something to be left out to run host OS etc. There should be sane defaults and the ability to overwrite per site and possibly per worker.

On FastNet and SlowNet servers, disk capacity for the VMs is limited to 2TB (virtual disk with two harddrives with raid-1).
On the CLEM.graphml file, this line shows disk size as "4800".
I'm not sure if this is the right place to look at, but I wanted to provide a data point.

That's something we need to look at - could be a bug in the way the model is built.

This is addressed in #67 by using OpenStack-provided availability information regarding disk, ram and cores.


add green-alien.svg

Hello,
I contribute modestly to the project.
Thanks for adding.
Have a nice day

Thanks for contributing. Sorry for the delay in merging.


refactor(worker): use internal helper client to GET pypi package data

Uses the internal helper client to do a GET request to fetch pypi package data.
This makes it easier to later mock external HTTP calls

cc: @nishakm

@nishakm Do you want me to put this on hold until I experiment around with finding how we can fetch as much from the local filesystem?

@nishakm Do you want me to put this on hold until I experiment around with finding how we can fetch as much from the local filesystem?

Yes, please. You can convert this PR into a draft for now.


feat(ffe-searchable-dropdown-react): Extended noMatch to allow for a …

…set of fallback items.
This commit should be backwards compatible while allowing for a new set of items to be displayed for when the search results fail.
The appearance of the dropdown before there is an interaction should remain the same, while the dropdown with this extended noMatch feature will appear like this:

Coverage increased (+0.05%) to 80.583% when pulling 5658630e57b56d450f2198a8e543e721b306c3c4 on patrisk:add-fallback-items-to-searchable-dropdown into 2f6d68cea389e2e555244e48e898647db4405ef0 on SpareBank1:develop.

@patrisk that last commit needs to be prefixed with fix instead of feat - or just squashed into the original commit - before I'll be willing to merge.
The reason is that we use this "conventional commits" system to auto-generate changelogs - and "set proper proptypes" is not a new feature imo :)

@selbekk yeah, I realize the mistake. I squashed it so it's only the one commit now.

Great job - thanks!


fix(header): update spacing, remove tall css

This removes the tall header. With that comes some further adjustment to the styles for the header. I think I've got this in a pretty good place now but would love some feedback.
I've also clean things up a bit where there were unused vars.
fixes #968
#935

Deploy preview for pf-next ready!
Built with commit 06c33a6789f68314e5adf807c351873749bc176d
https://deploy-preview-969--pf-next.netlify.com

Looks great! Just a few comments about variable naming.

Looks good! Did you mean to commit AlertUpgradeExamples code?

Should L206-207 in page.scss have the breakpoint in the var name?
https://github.com/patternfly/patternfly-next/blob/7ce06dad10a835df664ddfa5d5ccc36e2c5f9039/src/patternfly/layouts/Page/page.scss#L201-L208

Should we rename the tall demo and filename?
https://github.com/patternfly/patternfly-next/blob/master/src/patternfly/demos/PageLayout/examples/index.js#L32
https://github.com/patternfly/patternfly-next/blob/master/src/patternfly/demos/PageLayout/examples/index.js#L5

:tada: This PR is included in version 1.0.83 :tada:
The release is available on:

npm package (@latest dist-tag)
GitHub release

Your semantic-release bot :package::rocket:


Update lightcontrol to 0.2.16

Please update my adapter ioBroker.lightcontrol to version 0.2.16.
This pull request was created by https://www.iobroker.dev c0726ff.

Latest 10.5. (A little bit short but ...)
App 50 uswr app 40%
No serious issues
Ok

Latest 14.01.23 😜
Thx.


need help creating a custom mode

Hi @TimTinkers . How do I use the script for a custom mode? like ( combi : "mymode:scriptpath") . I tried this but it says "dont run rofi inside rofi" . I understand that the script works standalone but it'd be nice if there would be a mode for this! Idk scripting :(

Hi @siduck! I've not had time to look into, check in, or otherwise maintain this script in a good while. I'm afraid I can't really help because I'm barely familiar with how I implemented this in the first place. I'm afraid you'll have to find a better resource for learning rofi than this project. I'm going to close this issue for now since it doesn't seem to be a problem with the script itself.


list uk property gives 404 if there are no properties while list self employments returns an empty list

I'm submitting a ...

[ ] Bug - API
[ ] Bug - Documentation
[X ] Improvement
[ ] Feature request
[ ] Support request

What is the current behaviour?
When calling self-assessment/ni/{nino}/self-employments when there are none you get a 200 response with a body of [] (empty list)

When calling self-assessment/ni/{nino}/uk-properties when there are none you get a 404 response with an empty body (N.B. You do not get the usual json "no such endpoint" response for a 404)

What is the expected behaviour?
These should be consistent (and ideally work like the self-employments one)

Hello @python-mtd,
Thank you for your feedback. We aren't permitted to make (non-bugfix) changes to any of the endpoints on this API due to its age. There are, however, ongoing plans to replace the self-employments resources found here with a new implementation so I will be sure to pass your feedback onto the relevant people.
Kind regards,
MTD-API-Team