Searched +full:build +full:- +full:docker +full:- +full:cuda (Results 1 – 25 of 97) sorted by relevance
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| /external/pytorch/.github/workflows/ |
| D | build-manywheel-images.yml | 1 name: Build manywheel docker images
7 - main
8 - release/*
10 … # NOTE: Binary build pipelines should only get triggered on release candidate or nightly builds
11 # Release candidate tags look like: v1.11.0-rc1
12 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
14 - '.ci/docker/manywheel/*'
15 - '.ci/docker/manywheel/build_scripts/*'
16 - '.ci/docker/common/*'
17 - .github/workflows/build-manywheel-images.yml
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| D | build-libtorch-images.yml | 1 name: Build libtorch docker images
6 - main
7 - release/*
9 … # NOTE: Binary build pipelines should only get triggered on release candidate or nightly builds
10 # Release candidate tags look like: v1.11.0-rc1
11 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
13 - '.ci/docker/libtorch/*'
14 - '.ci/docker/common/*'
15 - .github/workflows/build-libtorch-images.yml
18 - '.ci/docker/libtorch/*'
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| D | _linux-build-rg.yml | 1 name: linux-build-rg
6 build-environment:
9 description: Top-level label for what's being built/tested.
10 docker-image-name:
13 description: Name of the base docker image to build with.
14 build-generates-artifacts:
18 description: If set, upload generated build artifacts.
19 build-with-debug:
23 description: If set, build in debug mode.
24 sync-tag:
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| D | _linux-build-label.yml | 1 name: linux-build
6 build-environment:
9 description: Top-level label for what's being built/tested.
10 docker-image-name:
13 description: Name of the base docker image to build with.
14 build-generates-artifacts:
18 description: If set, upload generated build artifacts.
19 build-with-debug:
23 description: If set, build in debug mode.
24 sync-tag:
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| D | _linux-build.yml | 1 name: linux-build
6 build-environment:
9 description: Top-level label for what's being built/tested.
10 docker-image-name:
13 description: Name of the base docker image to build with.
14 build-generates-artifacts:
18 description: If set, upload generated build artifacts.
19 build-with-debug:
23 description: If set, build in debug mode.
24 sync-tag:
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| D | generated-linux-s390x-binary-manywheel-nightly.yml | 5 name: linux-s390x-binary-manywheel
12 - nightly
14 # NOTE: Binary build pipelines should only get triggered on release candidate builds
15 # Release candidate tags look like: v1.11.0-rc1
16 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
17 - 'ciflow/binaries/*'
18 - 'ciflow/binaries_wheel/*'
23 ALPINE_IMAGE: "docker.io/s390x/alpine"
25 AWS_DEFAULT_REGION: us-east-1
27 BUILD_ENVIRONMENT: linux-s390x-binary-manywheel
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| D | _bazel-build-test.yml | 6 build-environment:
9 description: Top-level label for what's being built/tested.
10 docker-image-name:
13 description: Name of the base docker image to build with.
14 cuda-version:
17 description: What CUDA version to build with (i.e. "11.7"), "cpu" for none.
18 sync-tag:
24 job with the same `sync-tag` is identical.
25 test-matrix:
37 runs-on: [self-hosted, linux.large]
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| D | build-conda-images.yml | 1 name: Build conda docker images
7 - main
8 - release/*
10 … # NOTE: Binary build pipelines should only get triggered on release candidate or nightly builds
11 # Release candidate tags look like: v1.11.0-rc1
12 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
14 - '.ci/docker/conda/*'
15 - '.ci/docker/common/*'
16 - .github/workflows/build-conda-images.yml
19 - '.ci/docker/conda/*'
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| D | docker-release.yml | 1 name: Build Official Docker Images
7 - Dockerfile
8 - docker.Makefile
9 - .github/workflows/docker-release.yml
10 - .github/scripts/generate_docker_release_matrix.py
13 - nightly
16 - v[0-9]+.[0-9]+.[0-9]+
17 # Release candidate tags look like: v1.11.0-rc1
18 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
19 - ciflow/nightly/*
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| D | trunk.yml | 6 - main
7 - release/*
8 - landchecks/*
10 - ciflow/trunk/*
13 - cron: 29 8 * * * # about 1:29am PDT
16 …-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_type == 'branch' && git…
17 cancel-in-progress: true
19 permissions: read-all
22 llm-td:
23 name: before-test
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| D | pull.yml | 5 branches-ignore:
6 - nightly
9 - main
10 - release/*
11 - landchecks/*
14 - cron: 29 8 * * * # about 1:29am PDT
17 …p: ${{ github.workflow }}-${{ github.event.pull_request.number || github.sha }}-${{ github.event_n…
18 cancel-in-progress: true
20 permissions: read-all
23 llm-td:
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| D | inductor-cu124.yml | 1 name: inductor-cu124
6 - ciflow/inductor-cu124/*
10 - cron: 45 0,4,8,12,16,20 * * 1-5
11 - cron: 45 4,12 * * 0,6
12 - cron: 29 8 * * * # about 1:29am PDT, for mem leak check and rerun disabled tests
15 …${{ github.workflow }}-${{ github.event.pull_request.number || github.ref_name }}-${{ github.ref_t…
16 cancel-in-progress: true
18 permissions: read-all
21 linux-focal-cuda12_4-py3_10-gcc9-inductor-build:
23 name: cuda12.4-py3.10-gcc9-sm86
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| D | generated-linux-binary-manywheel-nightly.yml | 5 name: linux-binary-manywheel
12 - nightly
14 # NOTE: Binary build pipelines should only get triggered on release candidate builds
15 # Release candidate tags look like: v1.11.0-rc1
16 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
17 - 'ciflow/binaries/*'
18 - 'ciflow/binaries_wheel/*'
23 ALPINE_IMAGE: "308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine"
25 AWS_DEFAULT_REGION: us-east-1
27 BUILD_ENVIRONMENT: linux-binary-manywheel
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| /external/pytorch/.ci/docker/manywheel/ |
| D | build.sh | 4 set -eou pipefail
6 TOPDIR=$(git rev-parse --show-toplevel)
11 if [ -z "${image}" ]; then
18 DOCKER_REGISTRY="${DOCKER_REGISTRY:-docker.io}"
20 GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
21 GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
22 MANY_LINUX_VERSION=${MANY_LINUX_VERSION:-}
23 DOCKERFILE_SUFFIX=${DOCKERFILE_SUFFIX:-}
24 WITH_PUSH=${WITH_PUSH:-}
31 DOCKER_GPU_BUILD_ARG=" --build-arg DEVTOOLSET_VERSION=9"
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| /external/pytorch/.ci/docker/conda/ |
| D | build.sh | 4 set -eou pipefail
9 if [ -z "${image}" ]; then
18 TOPDIR=$(git rev-parse --show-toplevel)
20 CUDA_VERSION=${CUDA_VERSION:-12.1}
32 BASE_TARGET=cuda${CUDA_VERSION}
33 DOCKER_TAG=cuda${CUDA_VERSION}
39 set -x
40 docker build \
41 --target final \
42 --progress plain \
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| /external/tensorflow/tensorflow/tools/ci_build/ |
| D | Dockerfile.cuda-clang | 1 # Dockerfile to build a manylinux 2010 compliant TensorFlow pip package with
2 # cuda-clang.
4 # To build, first build the manylinux2010 toolchain docker image and tag it,
5 # then build the TensorFlow docker image using the tagged image as base.
7 # $ docker build -f Dockerfile.rbe.cuda10.0-cudnn7-ubuntu16.04-manylinux2010 \
8 # --tag "local-manylinux-toolchain" .
9 # $ docker build -f Dockerfile.cuda-clang .
11 FROM local-manylinux-toolchain
25 ADD cuda-clang.patch cuda-clang.patch
26 RUN patch -p1 < cuda-clang.patch
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| D | Dockerfile.rbe.cuda9.0-cudnn7-ubuntu14.04 | 2 # $ docker build -f Dockerfile.rbe.cuda9.0-cudnn7-ubuntu14.04 \
3 # --tag "gcr.io/tensorflow-testing/nosla-cuda9.0-cudnn7-ubuntu14.04" .
4 # $ docker push gcr.io/tensorflow-testing/nosla-cuda9.0-cudnn7-ubuntu14.04
9 FROM gcr.io/clang-docker-builder/clang-ubuntu14_04
12 RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-http…
13 rm -rf /var/lib/apt/lists/* && \
16 …apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_6…
17 apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +2 > cudasign.pub && \
18 echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \
19 …ttps://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.li…
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| D | ci_build.sh | 8 # http://www.apache.org/licenses/LICENSE-2.0
17 # Usage: ci_build.sh <CONTAINER_TYPE> [--dockerfile <DOCKERFILE_PATH>]
20 # CONTAINER_TYPE: Type of the docker container used the run the build:
23 # DOCKERFILE_PATH: (Optional) Path to the Dockerfile used for docker build.
25 # --dockerfile flag), default Dockerfiles in the same
28 # COMMAND: Command to be executed in the docker container, e.g.,
29 # tensorflow/tools/ci_build/builds/pip.sh gpu -c opt --config=cuda
38 # Dockerfile to be used in docker build
42 if [[ "$1" == "--dockerfile" ]]; then
46 echo "Using custom docker build context path: ${DOCKER_CONTEXT_PATH}"
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| D | Dockerfile.rbe.cuda10.2-cudnn7-ubuntu18.04-manylinux2010-multipython | 1 # Dockerfile to build a manylinux 2010 compliant cross-compiler.
7 # $ docker build -f Dockerfile.rbe.cuda10.2-cudnn7-ubuntu18.04-manylinux2010-multipython \
8 # --tag "gcr.io/tensorflow-testing/nosla-cuda10.2-cudnn7-ubuntu18.04-manylinux2010-multipython" .
9 # $ docker push gcr.io/tensorflow-testing/nosla-cuda10.2-cudnn7-ubuntu18.04-manylinux2010-multipyth…
11 FROM gcr.io/tensorflow-testing/nosla-cuda10.0-cudnn7-ubuntu16.04-manylinux2010
13 RUN apt-get update
14 RUN apt-get remove -y --allow-change-held-packages cuda-license-10-0 libcudnn7 libcudnn8 libnccl2 l…
15 RUN apt-get install -y --no-install-recommends --allow-downgrades --allow-change-held-packages \
17 libcublas-dev \
18 cuda-nvml-dev-10.2 \
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| D | Dockerfile.rbe.cuda11.1-cudnn8-ubuntu20.04-manylinux2014-multipython | 1 # Dockerfile to build a manylinux 2010 compliant cross-compiler.
7 # $ docker build -f Dockerfile.rbe.cuda11.1-cudnn8-ubuntu20.04-manylinux2014-multipython \
8 # --tag "gcr.io/tensorflow-testing/nosla-cuda11.1-cudnn8-ubuntu20.04-manylinux2014-multipython" .
9 # $ docker push gcr.io/tensorflow-testing/nosla-cuda11.1-cudnn8-ubuntu20.04-manylinux2014-multipyth…
11 FROM nvidia/cuda:11.1.1-cudnn8-devel-ubuntu20.04 as devtoolset
14 RUN apt-get update && apt-get install -y \
24 xz-utils \
26 rm -rf /var/lib/apt/lists/*
30 ADD devtoolset/rpm-patch.sh rpm-patch.sh
32 # Set up a sysroot for glibc 2.12 / libstdc++ 4.4 / devtoolset-7 in /dt7.
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| /external/pytorch/ |
| D | docker.Makefile | 1 DOCKER_REGISTRY ?= docker.io
2 DOCKER_ORG ?= $(shell docker info 2>/dev/null | sed '/Username:/!d;s/.* //')
7 $(warning WARNING: No docker user found using results from whoami)
15 BASE_DEVEL = nvidia/cuda:$(CUDA_VERSION)-devel-ubuntu22.04
30 PYTORCH_VERSION ?= $(shell git describe --tags --always --match "v[1-9]*.*")
36 BUILD_ARGS = --build-arg BASE_IMAGE=$(BASE_IMAGE) \
37 --build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
38 --build-arg CUDA_VERSION=$(CUDA_VERSION) \
39 --build-arg CUDA_PATH=$(CUDA_PATH) \
40 --build-arg PYTORCH_VERSION=$(PYTORCH_VERSION) \
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| D | README.md | 1  with strong GPU acceleration
7 - Deep neural networks built on a tape-based autograd system
13 <!-- toc -->
15 - [More About PyTorch](#more-about-pytorch)
16 - [A GPU-Ready Tensor Library](#a-gpu-ready-tensor-library)
17 - [Dynamic Neural Networks: Tape-Based Autograd](#dynamic-neural-networks-tape-based-autograd)
18 - [Python First](#python-first)
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| /external/pytorch/.ci/docker/ |
| D | README.md | 1 # Docker images for GitHub CI and CD
3 This directory contains everything needed to build the Docker images
7 conditionally run build stages depending on build arguments passed to
8 `docker build`. This lets us use only a few Dockerfiles for many
13 See `build.sh` for valid build environments (it's the giant switch).
15 ## Docker CI builds
17 * `build.sh` -- dispatch script to launch all builds
18 * `common` -- scripts used to execute individual Docker build stages
19 * `ubuntu` -- Dockerfile for Ubuntu image for CPU build and test jobs
20 * `ubuntu-cuda` -- Dockerfile for Ubuntu image with CUDA support for nvidia-docker
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| /external/pytorch/.ci/docker/libtorch/ |
| D | build.sh | 4 set -eou pipefail
9 if [ -z "${image}" ]; then
16 TOPDIR=$(git rev-parse --show-toplevel)
18 GPU_ARCH_TYPE=${GPU_ARCH_TYPE:-cpu}
19 GPU_ARCH_VERSION=${GPU_ARCH_VERSION:-}
21 WITH_PUSH=${WITH_PUSH:-}
23 DOCKER=${DOCKER:-docker}
32 cuda)
33 BASE_TARGET=cuda${GPU_ARCH_VERSION}
34 DOCKER_TAG=cuda${GPU_ARCH_VERSION}
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| /external/pytorch/.github/templates/ |
| D | linux_binary_build_workflow.yml.j2 | 4 {%- block name -%}
8 {%- endblock %}
13 {%- if branches == "nightly" %}
15 {%- endif %}
17 - !{{ branches }}
18 {%- if branches == "nightly" %}
20 # NOTE: Binary build pipelines should only get triggered on release candidate builds
21 # Release candidate tags look like: v1.11.0-rc1
22 - v[0-9]+.[0-9]+.[0-9]+-rc[0-9]+
23 {%- endif %}
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