From 5c2ecaa9b399e997c7e60109b9e82264478fc724 Mon Sep 17 00:00:00 2001 From: Elle Date: Wed, 22 Jul 2020 13:40:59 -0700 Subject: [PATCH 1/6] first draft --- .../blog/2020-07-22-july-20-community-gems.md | 133 ++++++++++++++++++ 1 file changed, 133 insertions(+) create mode 100644 content/blog/2020-07-22-july-20-community-gems.md diff --git a/content/blog/2020-07-22-july-20-community-gems.md b/content/blog/2020-07-22-july-20-community-gems.md new file mode 100644 index 0000000000..7375a48607 --- /dev/null +++ b/content/blog/2020-07-22-july-20-community-gems.md @@ -0,0 +1,133 @@ +--- +title: July '20 Community Gems +date: 2020-07-22 +description: | + A roundup of technical Q&A's from the DVC community. This month, we discuss + migrating to DVC 1.0, the new pipeline format, and our Python API. +descriptionLong: | + A roundup of technical Q&A's from the DVC community. This month, we discuss + migrating to DVC 1.0, the new pipeline format, and our Python API. +picture: 2020-06-29/Gems_June_20.png +author: elle_obrien +commentsUrl: https://discuss.dvc.org/t/june-20-community-gems/426 +tags: + - CML + - Bitbucket + - GCP + - global remote + +--- + +Here are some of our top Q&A's from around the community. With the launch of [CML](https://cml.dev) earlier in the month, we've got some new ground to cover! + +## DVC questions + +### [Q: Recently, I set up a global DVC remote. Where can I find the config file?](https://discordapp.com/channels/485586884165107732/563406153334128681/717673618217238598) + +When you [create a global DVC remote](https://dvc.org/doc/command-reference/remote/list#options), a config file will be created in `~/.config/dvc/config` instead of in your project directory (i.e., `.dvc/config`). + +### [Q: I'm working on a collaborative project, and I use `dvc pull` to sync my local workspace with the project repository. Then, I try running `dvc repro`, but get an error: `dvc.yaml does not exist`. No one else on my team is having this issue. Any ideas?](https://discordapp.com/channels/485586884165107732/485596304961962003/731188065078345799) + +This error suggests there is no `dvc.yaml` file in your project. Most likely, this means your teammates are using DVC version 0.94 or earlier, before the `dvc.yaml` standard was introduced. Meanwhile, it sounds like you're using version 1.0 or later. You can check by running + +```dvc +$ dvc --version +``` + +The best solution is for your whole team to upgrade to the latest version. If for some reason this won't work for your team, you can either downgrade to a previous version, or use a workaround: + +```dvc +$ dvc repro <.dvc stage file> +``` + +substituting the appropriate `.dvc` file for your pipeline. DVC 1.0 is backwards compatible, so pipelines created with previous versions will still run. + +### [Q: Is there a way to setup my DVC remote so I can manually download files from it without going through DVC?](https://discordapp.com/channels/485586884165107732/563406153334128681/717458695709130764) + +When DVC adds a file to a remote repository (such as an S3 bucket, or an SSH file server), there's only one change happening: DVC calculates an md5 for the file and renames it with that md5. In technical terms, it's storing files in a "content-addressable way". That means if you know the hash of a file, you can locate it in your DVC remote and manually download it. + +To find the hash for a given file, say `data.csv`, you can look in the corresponding DVC file: + +```dvc +$ cat data.csv.dvc +``` + +Another approach is using a built-in DVC function: +```dvc +$ dvc get --show-url . data.csv +``` +You can read more about `dvc get --show-url` in [our docs](https://dvc.org/doc/command-reference/get#options). Note that this functinality is also part of our Python API, so you can locate the path to a file in your remote within a Python environment. [Check out our API docs!](https://dvc.org/doc/api-reference/get_url) + + +## CML questions + +### Q: I use Bitbucket. Will CML work for me? +The first release of CML is compatible with GitHub and GitLab. We've seen [many requests for Bitbucket support](https://github.com/iterative/cml/issues/140), and we're making it a development priority for an upcoming release. Stay tuned. + +### [Q: I have on-premise GPUs. Can CML use them to execute pipelines?](https://discordapp.com/channels/485586884165107732/728693131557732403/730070747388706867) +Yep! You can use on-premise compute resources by configuring them as self-hosted runners. See [GitHub](https://docs.github.com/en/actions/hosting-your-own-runners/about-self-hosted-runners) and [GitLab](https://docs.gitlab.com/runner/)'s official docs for more details and setup instructions. + +### [Q: I'm building a workflow that deploys a GCP Compute Engine instance, but I can only find examples with AWS EC2 in the CML docs. What do I do?](https://discordapp.com/channels/485586884165107732/728693131557732403/730688592787275806) + +There is a slight difference in the way CML handles credentials for AWS and GCP, and that means you'll have to modify your workflow file slightly. We've added this example to our [project README](https://github.com/iterative/cml#allocating-cloud-resources-with-cml): + +```yaml +deploy-gce: + runs-on: [ubuntu-latest] + container: docker://dvcorg/cml-cloud-runner + + steps: + - name: deploy + shell: bash + env: + repo_token: ${{ secrets.REPO_TOKEN }} + GOOGLE_APPLICATION_CREDENTIALS_DATA: ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }} + run: | + + echo '${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }}' > gce-credentials.json + export GOOGLE_APPLICATION_CREDENTIALS='gce-credentials.json' + + RUNNER_LABELS="gce" + RUNNER_REPO="https://github.com/${GITHUB_REPOSITORY}" + MACHINE="cml$(date +%s)" + + docker-machine create --driver google \ + --google-machine-type \ + --google-project \ + $MACHINE + + eval "$(docker-machine env --shell sh $MACHINE)" + + ( + docker-machine ssh $MACHINE "sudo mkdir -p /docker_machine && sudo chmod 777 /docker_machine" && \ + docker-machine scp -r -q ~/.docker/machine/ $MACHINE:/docker_machine && \ + docker-machine scp -q gce-credentials.json $MACHINE:/docker_machine/gce-credentials.json && \ + + eval "$(docker-machine env --shell sh $MACHINE)" && \ + docker run --name runner -d \ + -v /docker_machine/gce-credentials.json:/gce-credentials.json \ + -e GOOGLE_APPLICATION_CREDENTIALS='/gce-credentials.json' \ + -v /docker_machine/machine:/root/.docker/machine \ + -e DOCKER_MACHINE=$MACHINE \ + -e repo_token=$repo_token \ + -e RUNNER_LABELS=$RUNNER_LABELS \ + -e RUNNER_REPO=$RUNNER_REPO \ + -e RUNNER_IDLE_TIMEOUT=120 \ + dvcorg/cml-cloud-runner:latest && \ + sleep 20 && echo "Deployed $MACHINE" + ) || (docker-machine rm -f $MACHINE && exit 1) +``` + +We've also added an example for deploying GCP runners with GPUs to our [cloud compute use case repository docs](https://github.com/iterative/cml_cloud_case#using-a-different-cloud-service). + +Note that for Azure, the workflow will be the same as for AWS. You'll only have to change the arguments to `docker-machine`. + +### [Q: I don't see any installation instructions in the CML docs. Am I missing something?](https://discordapp.com/channels/485586884165107732/728693131557732403/733659483758133269) + +Nope, there's no installation unless you wish to install CML in your own Docker image. As long as you are using GitHub Actions or GitLab CI with the CML Docker images, no other steps are needed. + +If you're creating your own Docker image to be used in a GitHub Action or GitLab CI pipeline, you can add CML to your image via npm: + +```bash +$ npm i -g @dvcorg/cml +``` From 38f98b835b14f6b6a342b458bc2a3abba51ad61b Mon Sep 17 00:00:00 2001 From: Elle Date: Wed, 22 Jul 2020 13:41:06 -0700 Subject: [PATCH 2/6] prettied it up --- .../blog/2020-07-22-july-20-community-gems.md | 158 +++++++++++------- 1 file changed, 97 insertions(+), 61 deletions(-) diff --git a/content/blog/2020-07-22-july-20-community-gems.md b/content/blog/2020-07-22-july-20-community-gems.md index 7375a48607..0f7f4d9c65 100644 --- a/content/blog/2020-07-22-july-20-community-gems.md +++ b/content/blog/2020-07-22-july-20-community-gems.md @@ -15,118 +15,154 @@ tags: - Bitbucket - GCP - global remote - --- -Here are some of our top Q&A's from around the community. With the launch of [CML](https://cml.dev) earlier in the month, we've got some new ground to cover! +Here are some of our top Q&A's from around the community. With the launch of +[CML](https://cml.dev) earlier in the month, we've got some new ground to cover! ## DVC questions ### [Q: Recently, I set up a global DVC remote. Where can I find the config file?](https://discordapp.com/channels/485586884165107732/563406153334128681/717673618217238598) -When you [create a global DVC remote](https://dvc.org/doc/command-reference/remote/list#options), a config file will be created in `~/.config/dvc/config` instead of in your project directory (i.e., `.dvc/config`). +When you +[create a global DVC remote](https://dvc.org/doc/command-reference/remote/list#options), +a config file will be created in `~/.config/dvc/config` instead of in your +project directory (i.e., `.dvc/config`). ### [Q: I'm working on a collaborative project, and I use `dvc pull` to sync my local workspace with the project repository. Then, I try running `dvc repro`, but get an error: `dvc.yaml does not exist`. No one else on my team is having this issue. Any ideas?](https://discordapp.com/channels/485586884165107732/485596304961962003/731188065078345799) -This error suggests there is no `dvc.yaml` file in your project. Most likely, this means your teammates are using DVC version 0.94 or earlier, before the `dvc.yaml` standard was introduced. Meanwhile, it sounds like you're using version 1.0 or later. You can check by running +This error suggests there is no `dvc.yaml` file in your project. Most likely, +this means your teammates are using DVC version 0.94 or earlier, before the +`dvc.yaml` standard was introduced. Meanwhile, it sounds like you're using +version 1.0 or later. You can check by running ```dvc $ dvc --version ``` -The best solution is for your whole team to upgrade to the latest version. If for some reason this won't work for your team, you can either downgrade to a previous version, or use a workaround: +The best solution is for your whole team to upgrade to the latest version. If +for some reason this won't work for your team, you can either downgrade to a +previous version, or use a workaround: ```dvc $ dvc repro <.dvc stage file> ``` -substituting the appropriate `.dvc` file for your pipeline. DVC 1.0 is backwards compatible, so pipelines created with previous versions will still run. +substituting the appropriate `.dvc` file for your pipeline. DVC 1.0 is backwards +compatible, so pipelines created with previous versions will still run. ### [Q: Is there a way to setup my DVC remote so I can manually download files from it without going through DVC?](https://discordapp.com/channels/485586884165107732/563406153334128681/717458695709130764) -When DVC adds a file to a remote repository (such as an S3 bucket, or an SSH file server), there's only one change happening: DVC calculates an md5 for the file and renames it with that md5. In technical terms, it's storing files in a "content-addressable way". That means if you know the hash of a file, you can locate it in your DVC remote and manually download it. +When DVC adds a file to a remote repository (such as an S3 bucket, or an SSH +file server), there's only one change happening: DVC calculates an md5 for the +file and renames it with that md5. In technical terms, it's storing files in a +"content-addressable way". That means if you know the hash of a file, you can +locate it in your DVC remote and manually download it. -To find the hash for a given file, say `data.csv`, you can look in the corresponding DVC file: +To find the hash for a given file, say `data.csv`, you can look in the +corresponding DVC file: ```dvc $ cat data.csv.dvc ``` -Another approach is using a built-in DVC function: -```dvc +Another approach is using a built-in DVC function: + +```dvc $ dvc get --show-url . data.csv ``` -You can read more about `dvc get --show-url` in [our docs](https://dvc.org/doc/command-reference/get#options). Note that this functinality is also part of our Python API, so you can locate the path to a file in your remote within a Python environment. [Check out our API docs!](https://dvc.org/doc/api-reference/get_url) +You can read more about `dvc get --show-url` in +[our docs](https://dvc.org/doc/command-reference/get#options). Note that this +functinality is also part of our Python API, so you can locate the path to a +file in your remote within a Python environment. +[Check out our API docs!](https://dvc.org/doc/api-reference/get_url) ## CML questions ### Q: I use Bitbucket. Will CML work for me? -The first release of CML is compatible with GitHub and GitLab. We've seen [many requests for Bitbucket support](https://github.com/iterative/cml/issues/140), and we're making it a development priority for an upcoming release. Stay tuned. + +The first release of CML is compatible with GitHub and GitLab. We've seen +[many requests for Bitbucket support](https://github.com/iterative/cml/issues/140), +and we're making it a development priority for an upcoming release. Stay tuned. ### [Q: I have on-premise GPUs. Can CML use them to execute pipelines?](https://discordapp.com/channels/485586884165107732/728693131557732403/730070747388706867) -Yep! You can use on-premise compute resources by configuring them as self-hosted runners. See [GitHub](https://docs.github.com/en/actions/hosting-your-own-runners/about-self-hosted-runners) and [GitLab](https://docs.gitlab.com/runner/)'s official docs for more details and setup instructions. + +Yep! You can use on-premise compute resources by configuring them as self-hosted +runners. See +[GitHub](https://docs.github.com/en/actions/hosting-your-own-runners/about-self-hosted-runners) +and [GitLab](https://docs.gitlab.com/runner/)'s official docs for more details +and setup instructions. ### [Q: I'm building a workflow that deploys a GCP Compute Engine instance, but I can only find examples with AWS EC2 in the CML docs. What do I do?](https://discordapp.com/channels/485586884165107732/728693131557732403/730688592787275806) -There is a slight difference in the way CML handles credentials for AWS and GCP, and that means you'll have to modify your workflow file slightly. We've added this example to our [project README](https://github.com/iterative/cml#allocating-cloud-resources-with-cml): +There is a slight difference in the way CML handles credentials for AWS and GCP, +and that means you'll have to modify your workflow file slightly. We've added +this example to our +[project README](https://github.com/iterative/cml#allocating-cloud-resources-with-cml): ```yaml deploy-gce: - runs-on: [ubuntu-latest] - container: docker://dvcorg/cml-cloud-runner - - steps: - - name: deploy - shell: bash - env: - repo_token: ${{ secrets.REPO_TOKEN }} - GOOGLE_APPLICATION_CREDENTIALS_DATA: ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }} - run: | - - echo '${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }}' > gce-credentials.json - export GOOGLE_APPLICATION_CREDENTIALS='gce-credentials.json' - - RUNNER_LABELS="gce" - RUNNER_REPO="https://github.com/${GITHUB_REPOSITORY}" - MACHINE="cml$(date +%s)" - - docker-machine create --driver google \ - --google-machine-type \ - --google-project \ - $MACHINE - - eval "$(docker-machine env --shell sh $MACHINE)" - - ( - docker-machine ssh $MACHINE "sudo mkdir -p /docker_machine && sudo chmod 777 /docker_machine" && \ - docker-machine scp -r -q ~/.docker/machine/ $MACHINE:/docker_machine && \ - docker-machine scp -q gce-credentials.json $MACHINE:/docker_machine/gce-credentials.json && \ - - eval "$(docker-machine env --shell sh $MACHINE)" && \ - docker run --name runner -d \ - -v /docker_machine/gce-credentials.json:/gce-credentials.json \ - -e GOOGLE_APPLICATION_CREDENTIALS='/gce-credentials.json' \ - -v /docker_machine/machine:/root/.docker/machine \ - -e DOCKER_MACHINE=$MACHINE \ - -e repo_token=$repo_token \ - -e RUNNER_LABELS=$RUNNER_LABELS \ - -e RUNNER_REPO=$RUNNER_REPO \ - -e RUNNER_IDLE_TIMEOUT=120 \ - dvcorg/cml-cloud-runner:latest && \ - sleep 20 && echo "Deployed $MACHINE" - ) || (docker-machine rm -f $MACHINE && exit 1) + runs-on: [ubuntu-latest] + container: docker://dvcorg/cml-cloud-runner + + steps: + - name: deploy + shell: bash + env: + repo_token: ${{ secrets.REPO_TOKEN }} + GOOGLE_APPLICATION_CREDENTIALS_DATA: + ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }} + run: | + + echo '${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }}' > gce-credentials.json + export GOOGLE_APPLICATION_CREDENTIALS='gce-credentials.json' + + RUNNER_LABELS="gce" + RUNNER_REPO="https://github.com/${GITHUB_REPOSITORY}" + MACHINE="cml$(date +%s)" + + docker-machine create --driver google \ + --google-machine-type \ + --google-project \ + $MACHINE + + eval "$(docker-machine env --shell sh $MACHINE)" + + ( + docker-machine ssh $MACHINE "sudo mkdir -p /docker_machine && sudo chmod 777 /docker_machine" && \ + docker-machine scp -r -q ~/.docker/machine/ $MACHINE:/docker_machine && \ + docker-machine scp -q gce-credentials.json $MACHINE:/docker_machine/gce-credentials.json && \ + + eval "$(docker-machine env --shell sh $MACHINE)" && \ + docker run --name runner -d \ + -v /docker_machine/gce-credentials.json:/gce-credentials.json \ + -e GOOGLE_APPLICATION_CREDENTIALS='/gce-credentials.json' \ + -v /docker_machine/machine:/root/.docker/machine \ + -e DOCKER_MACHINE=$MACHINE \ + -e repo_token=$repo_token \ + -e RUNNER_LABELS=$RUNNER_LABELS \ + -e RUNNER_REPO=$RUNNER_REPO \ + -e RUNNER_IDLE_TIMEOUT=120 \ + dvcorg/cml-cloud-runner:latest && \ + sleep 20 && echo "Deployed $MACHINE" + ) || (docker-machine rm -f $MACHINE && exit 1) ``` -We've also added an example for deploying GCP runners with GPUs to our [cloud compute use case repository docs](https://github.com/iterative/cml_cloud_case#using-a-different-cloud-service). +We've also added an example for deploying GCP runners with GPUs to our +[cloud compute use case repository docs](https://github.com/iterative/cml_cloud_case#using-a-different-cloud-service). -Note that for Azure, the workflow will be the same as for AWS. You'll only have to change the arguments to `docker-machine`. +Note that for Azure, the workflow will be the same as for AWS. You'll only have +to change the arguments to `docker-machine`. ### [Q: I don't see any installation instructions in the CML docs. Am I missing something?](https://discordapp.com/channels/485586884165107732/728693131557732403/733659483758133269) -Nope, there's no installation unless you wish to install CML in your own Docker image. As long as you are using GitHub Actions or GitLab CI with the CML Docker images, no other steps are needed. +Nope, there's no installation unless you wish to install CML in your own Docker +image. As long as you are using GitHub Actions or GitLab CI with the CML Docker +images, no other steps are needed. -If you're creating your own Docker image to be used in a GitHub Action or GitLab CI pipeline, you can add CML to your image via npm: +If you're creating your own Docker image to be used in a GitHub Action or GitLab +CI pipeline, you can add CML to your image via npm: ```bash $ npm i -g @dvcorg/cml From 9d36dc808195fa7db87a7931f6be3bbca8e7d075 Mon Sep 17 00:00:00 2001 From: Elle Date: Fri, 31 Jul 2020 13:17:55 -0700 Subject: [PATCH 3/6] prettified --- .../blog/2020-07-22-july-20-community-gems.md | 138 ++++++++++-------- .../images/2020-07-31/Gems_July_20.png | Bin 0 -> 296920 bytes 2 files changed, 76 insertions(+), 62 deletions(-) create mode 100644 static/uploads/images/2020-07-31/Gems_July_20.png diff --git a/content/blog/2020-07-22-july-20-community-gems.md b/content/blog/2020-07-22-july-20-community-gems.md index 0f7f4d9c65..8a0739ff1e 100644 --- a/content/blog/2020-07-22-july-20-community-gems.md +++ b/content/blog/2020-07-22-july-20-community-gems.md @@ -1,20 +1,19 @@ --- title: July '20 Community Gems -date: 2020-07-22 +date: 2020-07-31 description: | A roundup of technical Q&A's from the DVC community. This month, we discuss - migrating to DVC 1.0, the new pipeline format, and our Python API. -descriptionLong: | - A roundup of technical Q&A's from the DVC community. This month, we discuss - migrating to DVC 1.0, the new pipeline format, and our Python API. -picture: 2020-06-29/Gems_June_20.png + getting started with CML, configuring your DVC cache, and how to request a + tutorial video. +picture: 2020-07-31/Gems_July_20.png author: elle_obrien -commentsUrl: https://discuss.dvc.org/t/june-20-community-gems/426 +commentsUrl: https://discuss.dvc.org/t/july-20-community-gems/460 tags: - CML - Bitbucket - GCP - global remote + - cache --- Here are some of our top Q&A's from around the community. With the launch of @@ -37,7 +36,7 @@ this means your teammates are using DVC version 0.94 or earlier, before the version 1.0 or later. You can check by running ```dvc -$ dvc --version +$ dvc version ``` The best solution is for your whole team to upgrade to the latest version. If @@ -51,6 +50,13 @@ $ dvc repro <.dvc stage file> substituting the appropriate `.dvc` file for your pipeline. DVC 1.0 is backwards compatible, so pipelines created with previous versions will still run. +### [Q: Does the DVC installer for Windows also include the dependencies for using cloud storage, like S3 and GCP?](https://discordapp.com/channels/485586884165107732/485596304961962003/715717911574216735) + +If you're installing DVC from binary-such as the `dvc.exe` +[downloadable on the DVC homepage](https://dvc.org/)- all the standard +dependencies are included. You shouldn't need to use `pip` to install extra +packages (like `boto` for S3 storage). + ### [Q: Is there a way to setup my DVC remote so I can manually download files from it without going through DVC?](https://discordapp.com/channels/485586884165107732/563406153334128681/717458695709130764) When DVC adds a file to a remote repository (such as an S3 bucket, or an SSH @@ -78,13 +84,27 @@ functinality is also part of our Python API, so you can locate the path to a file in your remote within a Python environment. [Check out our API docs!](https://dvc.org/doc/api-reference/get_url) +### [Q: By default, each DVC project has its own cache in the project repository. To save space, I'm thinking about locally creating a single cache folder and letting multiple project repositories point there. Will this work?](https://discordapp.com/channels/485586884165107732/563406153334128681/736164141701791815) + +Yes, we hear from many users who have created a shared cache. Because of the way +DVC uses content-addressable filenames, you won't encounter issues like +accidentally overwriting files from one project with another. + +A possible issue is that a shared cache will grant all teammates working on a +given project access to the data from all other projects using that cache. If +you have sensitive data, you can create different caches for projects involving +private and public data. + +To learn more about setting your cache directory location, +[see our docs](https://dvc.org/doc/command-reference/cache/dir). + ## CML questions ### Q: I use Bitbucket. Will CML work for me? The first release of CML is compatible with GitHub and GitLab. We've seen [many requests for Bitbucket support](https://github.com/iterative/cml/issues/140), -and we're making it a development priority for an upcoming release. Stay tuned. +and we're actively investigating how to add this. Stay tuned. ### [Q: I have on-premise GPUs. Can CML use them to execute pipelines?](https://discordapp.com/channels/485586884165107732/728693131557732403/730070747388706867) @@ -97,60 +117,13 @@ and setup instructions. ### [Q: I'm building a workflow that deploys a GCP Compute Engine instance, but I can only find examples with AWS EC2 in the CML docs. What do I do?](https://discordapp.com/channels/485586884165107732/728693131557732403/730688592787275806) There is a slight difference in the way CML handles credentials for AWS and GCP, -and that means you'll have to modify your workflow file slightly. We've added -this example to our -[project README](https://github.com/iterative/cml#allocating-cloud-resources-with-cml): - -```yaml -deploy-gce: - runs-on: [ubuntu-latest] - container: docker://dvcorg/cml-cloud-runner - - steps: - - name: deploy - shell: bash - env: - repo_token: ${{ secrets.REPO_TOKEN }} - GOOGLE_APPLICATION_CREDENTIALS_DATA: - ${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }} - run: | - - echo '${{ secrets.GOOGLE_APPLICATION_CREDENTIALS_DATA }}' > gce-credentials.json - export GOOGLE_APPLICATION_CREDENTIALS='gce-credentials.json' - - RUNNER_LABELS="gce" - RUNNER_REPO="https://github.com/${GITHUB_REPOSITORY}" - MACHINE="cml$(date +%s)" - - docker-machine create --driver google \ - --google-machine-type \ - --google-project \ - $MACHINE - - eval "$(docker-machine env --shell sh $MACHINE)" - - ( - docker-machine ssh $MACHINE "sudo mkdir -p /docker_machine && sudo chmod 777 /docker_machine" && \ - docker-machine scp -r -q ~/.docker/machine/ $MACHINE:/docker_machine && \ - docker-machine scp -q gce-credentials.json $MACHINE:/docker_machine/gce-credentials.json && \ - - eval "$(docker-machine env --shell sh $MACHINE)" && \ - docker run --name runner -d \ - -v /docker_machine/gce-credentials.json:/gce-credentials.json \ - -e GOOGLE_APPLICATION_CREDENTIALS='/gce-credentials.json' \ - -v /docker_machine/machine:/root/.docker/machine \ - -e DOCKER_MACHINE=$MACHINE \ - -e repo_token=$repo_token \ - -e RUNNER_LABELS=$RUNNER_LABELS \ - -e RUNNER_REPO=$RUNNER_REPO \ - -e RUNNER_IDLE_TIMEOUT=120 \ - dvcorg/cml-cloud-runner:latest && \ - sleep 20 && echo "Deployed $MACHINE" - ) || (docker-machine rm -f $MACHINE && exit 1) -``` +and that means you'll have to modify your workflow file slightly. We've added an +example workflow for GCP to our +[project README](https://github.com/iterative/cml#allocating-cloud-resources-with-cml). -We've also added an example for deploying GCP runners with GPUs to our -[cloud compute use case repository docs](https://github.com/iterative/cml_cloud_case#using-a-different-cloud-service). +We've updated our +[cloud compute use case repository docs](https://github.com/iterative/cml_cloud_case#using-a-different-cloud-service) +to cover a GCP example. Note that for Azure, the workflow will be the same as for AWS. You'll only have to change the arguments to `docker-machine`. @@ -167,3 +140,44 @@ CI pipeline, you can add CML to your image via npm: ```bash $ npm i -g @dvcorg/cml ``` + +### [Q: Can I use CML with MLFlow?](https://www.youtube.com/watch?v=9BgIDqAzfuA&lc=Ugw-VxQqAaqi9hmqB3t4AaABAg) + +CML is designed to integrate with lots of tools that ML teams are already +familiar with. For example, we set up a wrapper to use CML with Tensorboard, so +you get a link to your Tensorboard in a PR whenever your model is training +([check out the use case](https://github.com/iterative/cml_tensorboard_case/pull/3)). + +While we haven't yet tried to create a use case with MLFlow in particular, we +think a similar approach could work. We could imagine using MLFlow for +hyperparameter searching, for example, and then checking in your best model with +Git to a CI system for evaluation in a production-like environment. CML could +help you orchestrate compute resources for model evaluation in your custom +environment, pulling the model and any validation data from cloud storage, and +reporting the results in a PR. + +If this is something you're interested in, make an issue on our project +repository to tell us more about your project and needs- that lets us know it's +a priority in the community. + +### Q: Are there more tutorial videos coming? + +Yes! We recently launched +[our first CML tutorial video](https://dvc.org/blog/first-mlops-tutorial), and a +lot of folks let us know they want more. We're aiming to release a new video +every week or so in the coming months. Topics will include: + +- Using DVC to push and pull data from cloud storage to your CI system +- Using CML with your on-premise hardware +- Building a data dashboard in GitHub & GitLab for monitoring changes in dynamic + datasets +- Provisioning cloud compute from your CI system +- Creating a custom Docker container for testing models in a production-like + environment + +We really want to know what use cases, questions, and issues are most important +to you. This will help us make videos that are most relevant to the community! +If you have a suggestion or idea, no matter how small, we want to know. Leave a +[comment on our videos](https://youtu.be/9BgIDqAzfuA), +[reach out on Twitter](https://twitter.com/dvcorg), or +[ping us in Discord](https://discord.gg/bzA6uY7). diff --git a/static/uploads/images/2020-07-31/Gems_July_20.png b/static/uploads/images/2020-07-31/Gems_July_20.png new file mode 100644 index 0000000000000000000000000000000000000000..4b8b6e2c0c82a6b212de2ed88e4ddfb3632ce6f6 GIT binary patch literal 296920 zcmaI82Rxfy|38jW%B`s4F16Ylt=ZP9m1rp~HEM5KdsBPFXp1hiRkSr?tG%}*N{!Y? z>=9y>#E6&)BJq#=dA{H8^VI$O>x*2uu5+&Ioby@l&-;9?zS7s#WM<@Mq@to?esEvi zfQpJ9K}AL9%5au)=Ejp$EaijN`Hs#VDyphPrlZGnl97l_=$yfr^g$0@WGH5jEu>6*V{2 z$=xVNR9e(L|9fmeeeK_EXsD>-T&ZaP-Nu6QdGd3g@_W+fU!P~PsQ>SdSv3FCnjVpL z=6{aqTu-_=z9^xLmFk?&eRDr5Dkk=mUuvo^>3>pD(YU!9nfaUPJXEyz_LO|=;Qho= zGT77Sq!*QPup;Hq)6xI2K(MEWm!D#=%9X!cC{m73PD@=8_`8X}yUG}ampt*Q`CFv>PQ*z z$*=%7mH&Rgf1Ufk;r*+dzUF!lNj{inZHtkDON>Uk2jqcg@> z5TS2(|5E&mckf=jc=!FxlbFrQ`+ri?_wxBnI1@s2gDTe-I1{XA7;pPlUe*ncwj0!9 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zPth(x|I#x(a-dZ^Xx{`izwN78VBaRc!cwhq9NMcO&lav(OwO72xeWNZOZVCI^J4sB zcOe&1MgE&Mf{34tyyVM~@9n8~S$V|TJ3<1YW|mK0wz#ELE=x9NctWwHQpkN|^tR<|Z8z*V&aZElBSzb2TsTT@R6em9sgA_F!p`SFgVN1u2Hy zkx*l>!c}_02m|%5csh?j-3$?zFt>OA%UDDudbHOYr8)BSi)lTY_QkJrr{6D5wY<3S zZ+VGW3y^tKY^4qp6rA40&}=JQeBWdkNAyipHXF3^ph9Q Date: Fri, 31 Jul 2020 14:19:29 -0700 Subject: [PATCH 4/6] prettify --- .../blog/2020-07-22-july-20-community-gems.md | 23 +++++++++++-------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/content/blog/2020-07-22-july-20-community-gems.md b/content/blog/2020-07-22-july-20-community-gems.md index 8a0739ff1e..07f013899e 100644 --- a/content/blog/2020-07-22-july-20-community-gems.md +++ b/content/blog/2020-07-22-july-20-community-gems.md @@ -9,11 +9,11 @@ picture: 2020-07-31/Gems_July_20.png author: elle_obrien commentsUrl: https://discuss.dvc.org/t/july-20-community-gems/460 tags: + - Discord + - Gems - CML - - Bitbucket - GCP - - global remote - - cache + - DVC 1.0 --- Here are some of our top Q&A's from around the community. With the launch of @@ -25,8 +25,8 @@ Here are some of our top Q&A's from around the community. With the launch of When you [create a global DVC remote](https://dvc.org/doc/command-reference/remote/list#options), -a config file will be created in `~/.config/dvc/config` instead of in your -project directory (i.e., `.dvc/config`). +a config file will be created in `~/.config/dvc/config` instead of your project +directory (i.e., `.dvc/config`). Note that on Windows, ### [Q: I'm working on a collaborative project, and I use `dvc pull` to sync my local workspace with the project repository. Then, I try running `dvc repro`, but get an error: `dvc.yaml does not exist`. No one else on my team is having this issue. Any ideas?](https://discordapp.com/channels/485586884165107732/485596304961962003/731188065078345799) @@ -39,8 +39,10 @@ version 1.0 or later. You can check by running $ dvc version ``` -The best solution is for your whole team to upgrade to the latest version. If -for some reason this won't work for your team, you can either downgrade to a +The best solution is for your whole team to upgrade to the latest version- and +there's an easy +[migration script to help you make the move](https://towardsdatascience.com/automatically-migrate-your-project-from-dvc-0-94-to-dvc-1-x-416a5b9e837b). +If for some reason this won't work for your team, you can either downgrade to a previous version, or use a workaround: ```dvc @@ -86,9 +88,10 @@ file in your remote within a Python environment. ### [Q: By default, each DVC project has its own cache in the project repository. To save space, I'm thinking about locally creating a single cache folder and letting multiple project repositories point there. Will this work?](https://discordapp.com/channels/485586884165107732/563406153334128681/736164141701791815) -Yes, we hear from many users who have created a shared cache. Because of the way -DVC uses content-addressable filenames, you won't encounter issues like -accidentally overwriting files from one project with another. +Yes, we hear from many users who have created a +[shared cache](https://dvc.org/doc/use-cases/shared-development-server#configure-the-external-shared-cache). +Because of the way DVC uses content-addressable filenames, you won't encounter +issues like accidentally overwriting files from one project with another. A possible issue is that a shared cache will grant all teammates working on a given project access to the data from all other projects using that cache. If From 7e9dc0f4ca34f70ff427bc5df3e799ea76a6824c Mon Sep 17 00:00:00 2001 From: Elle Date: Fri, 31 Jul 2020 16:18:18 -0700 Subject: [PATCH 5/6] prettify --- content/blog/2020-07-22-july-20-community-gems.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/content/blog/2020-07-22-july-20-community-gems.md b/content/blog/2020-07-22-july-20-community-gems.md index 07f013899e..70d9a1e1a9 100644 --- a/content/blog/2020-07-22-july-20-community-gems.md +++ b/content/blog/2020-07-22-july-20-community-gems.md @@ -5,6 +5,10 @@ description: | A roundup of technical Q&A's from the DVC community. This month, we discuss getting started with CML, configuring your DVC cache, and how to request a tutorial video. +descriptionLong: | + A roundup of technical Q&A's from the DVC community. This month, we discuss + getting started with CML, configuring your DVC cache, and how to request a + tutorial video. picture: 2020-07-31/Gems_July_20.png author: elle_obrien commentsUrl: https://discuss.dvc.org/t/july-20-community-gems/460 @@ -26,7 +30,7 @@ Here are some of our top Q&A's from around the community. With the launch of When you [create a global DVC remote](https://dvc.org/doc/command-reference/remote/list#options), a config file will be created in `~/.config/dvc/config` instead of your project -directory (i.e., `.dvc/config`). Note that on Windows, +directory (i.e., `.dvc/config`). ### [Q: I'm working on a collaborative project, and I use `dvc pull` to sync my local workspace with the project repository. Then, I try running `dvc repro`, but get an error: `dvc.yaml does not exist`. No one else on my team is having this issue. Any ideas?](https://discordapp.com/channels/485586884165107732/485596304961962003/731188065078345799) From f7ad0fd95c445d6ac0b8b2b6d5891925f6d659c5 Mon Sep 17 00:00:00 2001 From: Elle Date: Fri, 31 Jul 2020 16:21:12 -0700 Subject: [PATCH 6/6] prettify --- content/blog/2020-07-22-july-20-community-gems.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/content/blog/2020-07-22-july-20-community-gems.md b/content/blog/2020-07-22-july-20-community-gems.md index 70d9a1e1a9..6ec47ea279 100644 --- a/content/blog/2020-07-22-july-20-community-gems.md +++ b/content/blog/2020-07-22-july-20-community-gems.md @@ -32,6 +32,9 @@ When you a config file will be created in `~/.config/dvc/config` instead of your project directory (i.e., `.dvc/config`). +Note that on a Windows system, the config file will be created at +`C:\Users\\AppData\Local\iterative\dvc\config`. + ### [Q: I'm working on a collaborative project, and I use `dvc pull` to sync my local workspace with the project repository. Then, I try running `dvc repro`, but get an error: `dvc.yaml does not exist`. No one else on my team is having this issue. Any ideas?](https://discordapp.com/channels/485586884165107732/485596304961962003/731188065078345799) This error suggests there is no `dvc.yaml` file in your project. Most likely,