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Results 1 - 10 of 22 for Cuda (0.04 sec)

  1. ci/official/containers/linux_arm64/cuda.packages.txt

    # CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
    libcudnn9-dev-cuda-12=9.1.1.17-1
    libcudnn9-cuda-12=9.1.1.17-1
    
    # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image.
    # For now it ensures that we install at least version 12.3.107 of PTXAS,
    # since 12.3.103 has a bug.
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Fri May 24 17:22:37 UTC 2024
    - 366 bytes
    - Viewed (0)
  2. .bazelrc

    #     release_cpu_linux:               Toolchain and CUDA options for Linux CPU builds.
    #     release_gpu_linux:               Toolchain and CUDA options for Linux GPU builds.
    #     release_cpu_macos:               Toolchain and CUDA options for MacOS CPU builds.
    #     release_cpu_windows:             Toolchain and CUDA options for Windows CPU builds.
    
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Mon Oct 28 22:02:31 UTC 2024
    - 51.3K bytes
    - Viewed (0)
  3. .github/bot_config.yml

       
       **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries**
       
       
       Make sure you are using compatible TF and CUDA versions.
       Please refer following TF version and CUDA version compatibility table.
       
       | TF  | CUDA |
       
       | :-------------: | :-------------: |
       
       | 2.5.0  | 11.2 |
       
       | 2.4.0  | 11.0 |
       
       | 2.1.0 - 2.3.0  | 10.1 |
       
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Mon Jul 15 05:00:54 UTC 2024
    - 4K bytes
    - Viewed (0)
  4. ci/official/utilities/rename_and_verify_wheels.sh

      fi
    fi
    # VERY basic check to ensure the [and-cuda] package variant is installable.
    # Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is
    # relevant. All of the GPU test machines have CUDA installed via other means,
    # so I am not sure how to verify that the dependencies themselves are valid for
    # the moment.
    if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Oct 02 21:18:17 UTC 2024
    - 4.3K bytes
    - Viewed (0)
  5. configure.py

        write_repo_env_to_bazelrc('cuda', env_var, local_path)
    
    
    def set_other_cuda_vars(environ_cp):
      """Set other CUDA related variables."""
      # If CUDA is enabled, always use GPU during build and test.
      if environ_cp.get('TF_CUDA_CLANG') == '1':
        write_to_bazelrc('build --config=cuda_clang')
      else:
        write_to_bazelrc('build --config=cuda')
    
    
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Oct 02 22:16:02 UTC 2024
    - 48.2K bytes
    - Viewed (1)
  6. ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats

        done < $BATS_TEST_TMPDIR/missing_deps
        exit 1
      fi
    }
    
    # The Python package is not allowed to depend on any CUDA packages.
    @test "Pip package doesn't depend on CUDA" {
      bazel cquery \
        --experimental_cc_shared_library \
        --@local_config_cuda//:enable_cuda \
        --repo_env=HERMETIC_CUDA_VERSION="12.3.2" \
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Aug 14 18:47:44 UTC 2024
    - 12.9K bytes
    - Viewed (0)
  7. ci/official/containers/linux_arm64/Dockerfile

    # Install devtoolset devel dependencies
    COPY setup.sources.sh /setup.sources.sh
    COPY setup.packages.sh /setup.packages.sh
    COPY devel.packages.txt /devel.packages.txt
    COPY cuda.packages.txt /cuda.packages.txt
    RUN /setup.sources.sh && /setup.packages.sh /devel.packages.txt
    
    # Install various tools.
    # - bats: bash unit testing framework
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Oct 09 23:55:37 UTC 2024
    - 4.4K bytes
    - Viewed (0)
  8. ci/official/utilities/code_check_full.bats

        done < $BATS_TEST_TMPDIR/missing_deps
        exit 1
      fi
    }
    
    # The Python package is not allowed to depend on any CUDA packages.
    @test "Pip package doesn't depend on CUDA" {
      bazel cquery \
        --experimental_cc_shared_library \
        --@local_config_cuda//:enable_cuda \
        --@local_config_cuda//cuda:include_cuda_libs=false \
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Oct 23 18:48:35 UTC 2024
    - 13.6K bytes
    - Viewed (0)
  9. WORKSPACE

    tf_workspace0()
    
    load(
        "@local_tsl//third_party/gpus/cuda/hermetic:cuda_json_init_repository.bzl",
        "cuda_json_init_repository",
    )
    
    cuda_json_init_repository()
    
    load(
        "@cuda_redist_json//:distributions.bzl",
        "CUDA_REDISTRIBUTIONS",
        "CUDNN_REDISTRIBUTIONS",
    )
    load(
        "@local_tsl//third_party/gpus/cuda/hermetic:cuda_redist_init_repositories.bzl",
        "cuda_redist_init_repositories",
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Fri Oct 11 16:49:28 UTC 2024
    - 3K bytes
    - Viewed (0)
  10. CONTRIBUTING.md

            flag.
    
            ```bash
            export flags="--config=opt --config=cuda -k"
            ```
    
        *   For TensorFlow versions prior v.2.18.0: Add CUDA paths to
            LD_LIBRARY_PATH and add the `cuda` option flag.
    
            ```bash
            export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Oct 23 06:20:12 UTC 2024
    - 15.9K bytes
    - Viewed (0)
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