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Results 1 - 10 of 14 for Cuda (0.03 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. .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
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  3. 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
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  4. 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)
  5. 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)
  6. .github/ISSUE_TEMPLATE/tflite-other.md

    -   type: input id: Compiler attributes: label: GCC/Compiler version
        description: if compiling from source placeholder: validations: required:
        false
    
    -   type: input id: Cuda attributes: label: CUDA/cuDNN version description:
        placeholder: validations: required: false
    
    -   type: input id: Gpu attributes: label: GPU model and memory description: if
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Thu Dec 29 22:28:29 UTC 2022
    - 3.4K bytes
    - Viewed (0)
  7. .github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml

          description: If compiling from source
      - type: input
        id: Compiler
        attributes:
          label: GCC/compiler version
          description: If compiling from source
      - type: input
        id: Cuda
        attributes:
          label: CUDA/cuDNN version
      - type: input
        id: Gpu
        attributes:
          label: GPU model and memory
          description: If compiling from source
      - type: textarea
        id: what-happened
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Wed Jun 28 18:25:42 UTC 2023
    - 3.7K bytes
    - Viewed (0)
  8. ci/official/README.md

    These "env" files match up with an environment matrix that roughly covers:
    
    -   Different Python versions
    -   Linux, MacOS, and Windows machines (these pool definitions are internal)
    -   x86 and arm64
    -   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
    
    ## How to Test Your Changes to TensorFlow
    
    You may check how your changes will affect TensorFlow by:
    
    1. Creating a PR and observing the presubmit test results
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Thu Feb 01 03:21:19 UTC 2024
    - 8K bytes
    - Viewed (0)
  9. ci/official/libtensorflow.sh

    # limitations under the License.
    # ==============================================================================
    source "${BASH_SOURCE%/*}/utilities/setup.sh"
    
    # Record GPU count and CUDA version status
    if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then
      tfrun nvidia-smi
    fi
    
    # Update the version numbers for Nightly only
    if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Fri Jan 19 19:07:48 UTC 2024
    - 1.5K bytes
    - Viewed (0)
  10. ci/official/containers/ml_build/README.md

    WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).
    
    This container branches off from
    /tensorflow/tools/tf_sig_build_dockerfiles/. However, since
    hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
    requirements installed on the original container can be removed to reduce the
    footprint of the container and make it more reusable across different ML
    Registered: Tue Oct 29 12:39:09 UTC 2024
    - Last Modified: Tue Sep 24 20:45:58 UTC 2024
    - 416 bytes
    - Viewed (0)
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