mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 12:54:11 +08:00
715c000cf1
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/73591 Test Plan: Imported from OSS Reviewed By: malfet Differential Revision: D34558342 Pulled By: dagitses fbshipit-source-id: 6914a9a95d73105356e7b9c1543deab8bbdeec57 (cherry picked from commit 8b2e338827e39fcb35c3031fa22b2b1575a2c399)
28 lines
1.2 KiB
Plaintext
28 lines
1.2 KiB
Plaintext
build --cxxopt=--std=c++14
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build --copt=-I.
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# Bazel does not support including its cc_library targets as system
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# headers. We work around this for generated code
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# (e.g. c10/macros/cmake_macros.h) by making the generated directory a
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# system include path.
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build --copt=-isystem --copt bazel-out/k8-fastbuild/bin
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build --copt=-isystem --copt bazel-out/darwin-fastbuild/bin
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build --experimental_ui_max_stdouterr_bytes=2048576
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# Configuration to disable tty features for environments like CI
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build:no-tty --curses no
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build:no-tty --progress_report_interval 10
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build:no-tty --show_progress_rate_limit 10
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# Configuration to build with GPU support
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build:gpu --define=cuda=true
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# define a separate build folder for faster switching between configs
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build:gpu --platform_suffix=-gpu
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# See the note on the config-less build for details about why we are
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# doing this. We must also do it for the "-gpu" platform suffix.
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build --copt=-isystem --copt=bazel-out/k8-fastbuild-gpu/bin
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# rules_cuda configuration
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build:gpu --@rules_cuda//cuda:enable_cuda
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build:gpu --@rules_cuda//cuda:cuda_targets=sm_52
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build:gpu --@rules_cuda//cuda:compiler=nvcc
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build:gpu --repo_env=CUDA_PATH=/usr/local/cuda
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