mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 03:42:50 +08:00
PyTorch 1.8 builds
Summary: Nightly builds to support PyTorch 1.8.0 and PyTorch 1.8.1. Reviewed By: patricklabatut Differential Revision: D29098081 fbshipit-source-id: fc6b36e919892ea41979a03e64a6fc8003528b78
This commit is contained in:
parent
780e231536
commit
9de627e01b
@ -191,6 +191,7 @@ jobs:
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docker pull $DOCKER_IMAGE
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- run:
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name: Build and run tests
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no_output_timeout: 20m
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command: |
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set -e
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@ -245,6 +246,12 @@ workflows:
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python_version: "3.7"
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pytorch_version: '1.7.0'
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cu_version: "cu110"
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- binary_linux_conda_cuda:
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name: testrun_conda_cuda_py39_cu111_pyt181
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context: DOCKERHUB_TOKEN
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python_version: "3.9"
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pytorch_version: '1.8.1'
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cu_version: "cu111"
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- binary_macos_wheel:
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cu_version: cpu
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name: macos_wheel_py36_cpu
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@ -191,6 +191,7 @@ jobs:
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docker pull $DOCKER_IMAGE
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- run:
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name: Build and run tests
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no_output_timeout: 20m
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command: |
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set -e
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@ -328,6 +329,42 @@ workflows:
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name: linux_conda_py36_cu110_pyt171
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python_version: '3.6'
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pytorch_version: 1.7.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py36_cu101_pyt180
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python_version: '3.6'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py36_cu102_pyt180
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python_version: '3.6'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py36_cu111_pyt180
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python_version: '3.6'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py36_cu101_pyt181
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python_version: '3.6'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py36_cu102_pyt181
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python_version: '3.6'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py36_cu111_pyt181
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python_version: '3.6'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu92
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@ -430,6 +467,42 @@ workflows:
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name: linux_conda_py37_cu110_pyt171
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python_version: '3.7'
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pytorch_version: 1.7.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py37_cu101_pyt180
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python_version: '3.7'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py37_cu102_pyt180
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python_version: '3.7'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py37_cu111_pyt180
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python_version: '3.7'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py37_cu101_pyt181
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python_version: '3.7'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py37_cu102_pyt181
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python_version: '3.7'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py37_cu111_pyt181
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python_version: '3.7'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu92
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@ -532,6 +605,42 @@ workflows:
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name: linux_conda_py38_cu110_pyt171
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python_version: '3.8'
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pytorch_version: 1.7.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py38_cu101_pyt180
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python_version: '3.8'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py38_cu102_pyt180
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python_version: '3.8'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py38_cu111_pyt180
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python_version: '3.8'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py38_cu101_pyt181
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python_version: '3.8'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py38_cu102_pyt181
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python_version: '3.8'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py38_cu111_pyt181
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python_version: '3.8'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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@ -550,6 +659,42 @@ workflows:
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name: linux_conda_py39_cu110_pyt171
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python_version: '3.9'
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pytorch_version: 1.7.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py39_cu101_pyt180
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python_version: '3.9'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py39_cu102_pyt180
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python_version: '3.9'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py39_cu111_pyt180
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python_version: '3.9'
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pytorch_version: 1.8.0
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu101
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name: linux_conda_py39_cu101_pyt181
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python_version: '3.9'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu102
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name: linux_conda_py39_cu102_pyt181
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python_version: '3.9'
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pytorch_version: 1.8.1
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- binary_linux_conda:
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context: DOCKERHUB_TOKEN
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cu_version: cu111
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name: linux_conda_py39_cu111_pyt181
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python_version: '3.9'
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pytorch_version: 1.8.1
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- binary_linux_conda_cuda:
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name: testrun_conda_cuda_py36_cu101_pyt14
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context: DOCKERHUB_TOKEN
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@ -568,6 +713,12 @@ workflows:
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python_version: "3.7"
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pytorch_version: '1.7.0'
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cu_version: "cu110"
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- binary_linux_conda_cuda:
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name: testrun_conda_cuda_py39_cu111_pyt181
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context: DOCKERHUB_TOKEN
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python_version: "3.9"
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pytorch_version: '1.8.1'
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cu_version: "cu111"
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- binary_macos_wheel:
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cu_version: cpu
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name: macos_wheel_py36_cpu
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"1.6.0": ["cu92", "cu101", "cu102"],
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"1.7.0": ["cu101", "cu102", "cu110"],
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"1.7.1": ["cu101", "cu102", "cu110"],
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"1.8.0": ["cu101", "cu102", "cu111"],
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"1.8.1": ["cu101", "cu102", "cu111"],
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}
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fi
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# shellcheck disable=SC2086
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conda build $CONDA_CHANNEL_FLAGS ${TEST_FLAG:-} -c bottler -c defaults -c fvcore -c iopath -c conda-forge --no-anaconda-upload --python "$PYTHON_VERSION" packaging/pytorch3d
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conda build $CONDA_CHANNEL_FLAGS ${TEST_FLAG:-} -c bottler -c fvcore -c iopath -c conda-forge --no-anaconda-upload --python "$PYTHON_VERSION" packaging/pytorch3d
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# ["1.5.0"]="cu101 cu102"
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# ["1.5.1"]="cu101 cu102"
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# ["1.6.0"]="cu101 cu102"
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["1.7.0"]="cu101 cu102 cu110"
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["1.7.1"]="cu101 cu102 cu110"
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# ["1.7.0"]="cu101 cu102 cu110"
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# ["1.7.1"]="cu101 cu102 cu110"
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["1.8.0"]="cu101 cu102 cu111"
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["1.8.1"]="cu101 cu102 cu111"
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)
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@ -52,6 +54,11 @@ do
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for cu_version in ${CONDA_CUDA_VERSIONS[$pytorch_version]}
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do
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case "$cu_version" in
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cu111)
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export CUDA_HOME=/usr/local/cuda-11.1/
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export CUDA_TAG=11.1
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export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_50,code=compute_50"
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;;
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cu110)
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export CUDA_HOME=/usr/local/cuda-11.0/
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export CUDA_TAG=11.0
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# Now work out the CUDA settings
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case "$CU_VERSION" in
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cu111)
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if [[ "$OSTYPE" == "msys" ]]; then
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export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.1"
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else
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export CUDA_HOME=/usr/local/cuda-11.1/
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fi
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export FORCE_CUDA=1
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# Hard-coding gencode flags is temporary situation until
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# https://github.com/pytorch/pytorch/pull/23408 lands
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export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_50,code=compute_50"
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;;
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cu110)
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if [[ "$OSTYPE" == "msys" ]]; then
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export CUDA_HOME="C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.0"
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@ -236,7 +247,7 @@ setup_conda_pytorch_constraint() {
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exit 1
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fi
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else
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export CONDA_CHANNEL_FLAGS="-c pytorch -c pytorch-nightly"
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export CONDA_CHANNEL_FLAGS="-c pytorch"
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fi
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if [[ "$CU_VERSION" == cpu ]]; then
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export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==$PYTORCH_VERSION${PYTORCH_VERSION_SUFFIX}"
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@ -256,6 +267,10 @@ setup_conda_cudatoolkit_constraint() {
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export CONDA_CUDATOOLKIT_CONSTRAINT=""
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else
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case "$CU_VERSION" in
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cu111)
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export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=11.1,<11.2 # [not osx]"
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#export CONDA_CUB_CONSTRAINT="- nvidiacub"
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;;
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cu110)
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export CONDA_CUDATOOLKIT_CONSTRAINT="- cudatoolkit >=11.0,<11.1 # [not osx]"
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# Even though cudatoolkit 11.0 provides CUB we need our own, to control the
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@ -1,24 +0,0 @@
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blas_impl:
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- mkl # [x86_64]
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c_compiler:
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- vs2017 # [win]
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cxx_compiler:
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- vs2017 # [win]
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python:
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- 3.5
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- 3.6
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# This differs from target_platform in that it determines what subdir the compiler
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# will target, not what subdir the compiler package will be itself.
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# For example, we need a win-64 vs2008_win-32 package, so that we compile win-32
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# code on win-64 miniconda.
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cross_compiler_target_platform:
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- win-64 # [win]
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target_platform:
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- win-64 # [win]
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vc:
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- 14
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zip_keys:
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- # [win]
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- vc # [win]
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- c_compiler # [win]
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- cxx_compiler # [win]
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Loading…
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