• Oct 08, 2019 · grad(2x^2) at 1 = 4.0 Layers. Layers are basic building blocks of Trax models. You will learn all about them in the layers intro but for now, just take a look at the implementation of one core Trax layer, Embedding:
  • size - You can allocate additional resources to a step, or to the whole pipeline. By specifying the size of 2x, you'll have double the resources available (eg. 4GB memory → 8GB memory). At this time, valid sizes are 1x and 2x. 2x pipelines will use twice the number of build minutes.
  • Here is my bitbucket-pipelines.yml file. custom: # Pipelines that can only be triggered manually QA2: # The name that is displayed in the list in the Bitbucket Cloud GUI - step: image: openjdk:8 caches: - gradle size: 2x # double resources available for this step to 8G script: - apt-get update - apt-get install zip - cd config/geb - ./gradlew ...
  • Unity2018.1 から LWRP (Lightweight Render Pipeline: 軽量レンダーパイプライン) が導入されました。LWRPはSRP（Scriptable Render Pipeline）の1つで、HDRP (High Definition Render Pipeline: 高画質レンダーパイプライン）に比べ軽量でモバイル向きだそうです。 SRPとはUnity がフレームをどのように描画するかをデベロッパー ...
  • Here's an example of a bitbucket-pipelines.yml that only runs when master is pushed. pipelines: branches: master: - step: script: - echo "only on master" With this configuration, if I push another branch, it won't be built.
  • They deliver up to 14% improvement in price/performance compared to M4 instances with the updated processor. The addition of new AVX-512 delivers 2x the performance per core for vector and floating point intensive workloads such as image and video processing, data compression, cryptography, and high-performance web serving.
Mar 13, 2019 · A quick check on 1, 2, 4, 16 and 32 core machines showed that all of a sudden scc went from faster than tokei and loc to slower by about 2x. That is for every second tokei took to count code scc took two.
New to Bitbucket Pipelines? Bitbucket Pipelines is a Bitbucket feature that helps your team build, test and deploy code. Learn more..
Credit: Bitbucket. Key concepts. A pipeline is made up of a set of steps. Each step in your pipeline runs a separate Docker container. If you want, you can use different types of container for each step, by selecting different images. The step runs the commands you provide in the environment defined by the image. A single pipeline can have up ...See full list on bitbucket.org
In this pipeline there’s a build stage that is compiling the code and runs units tests on an AWS EC2 instance and if everything goes well, then the artifact (firmware binary) is uploaded to gitlab. In this case, it doesn’t really matter if it’s an AWS or any other baremetal server or whatever infrastructure you have for building code.
We're the creators of the Elastic (ELK) Stack -- Elasticsearch, Kibana, Beats, and Logstash. Securely and reliably search, analyze, and visualize your data in the cloud or on-prem. The total memory for services on each pipeline step must not exceed the remaining memory, which is 3072/7128 MB for 1x/2x steps respectively. Service containers get 1024 MB memory by default, but can be configured to use between 128 MB and the step maximum (3072/7128 MB).
Bitbucket’s Pipelines turns up the pressure on GitHub and GitLab Bitbucket outfits the code-hosting service with a continuous integration and delivery pipeline, with integrations to many major ... For CI, Bitbucket offers Pipelines. In a nutshell, Bitbucket loads your code onto a cloud container, and with the use of Pipelines, developers can deploy integrations seamlessly through the use of a YAML file. Conveniently, Bitbucket has a pipeline validator tool as part of their UI and each integration is referred to as a "pipe."

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