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Results 1 - 7 of 7 for poodlE (0.15 sec)

  1. ci/official/utilities/generate_index_html.sh

    cat > "$1" <<EOF
    <html>
    <head>
    <title>$(basename "$KOKORO_JOB_NAME")</title>
    </head>
    <body>
    <h1>TensorFlow Job Logs and Links</h1>
    <h2>Job Details</h2>
    <ul>
    <li>Job name: $KOKORO_JOB_NAME</li>
    <li>Job pool: $KOKORO_JOB_POOL</li>
    <li>Job ID: $KOKORO_BUILD_ID</li>
    <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li>
    <li>Pull Request Number, if any: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li>
    Shell Script
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Fri Sep 29 20:26:13 GMT 2023
    - 2.3K bytes
    - Viewed (0)
  2. ci/official/README.md

        -   Uses `pycpp.sh`, `code_check_changed_files.sh`
    
    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:
    
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu Feb 01 03:21:19 GMT 2024
    - 8K bytes
    - Viewed (0)
  3. ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh

    # the `VERSION` parameter
      # Download binary libstdc++ 4.8 shared library release
    wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 "http://old-releases.ubuntu.com/ubuntu/pool/main/g/gcc-4.8/libstdc++6_4.8.1-10ubuntu8_arm64.deb" && \
        unar "libstdc++6_4.8.1-10ubuntu8_arm64.deb" && \
    Shell Script
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Fri Sep 29 00:26:34 GMT 2023
    - 6.1K bytes
    - Viewed (1)
  4. RELEASE.md

    Ian Beauregard, Ilya Persky, jacco, Jakub Beránek, Jan Jongboom, Javier Montalt
    Tordera, Jens Elofsson, Jerry Shih, jerryyin, jgehw, Jinjing Zhou, jma, jmsmdy,
    Johan Nordström, John Poole, Jonah Kohn, Jonathan Dekhtiar, jpodivin, Jung Daun,
    Kai Katsumata, Kaixi Hou, Kamil Rakoczy, Kaustubh Maske Patil, Kazuaki Ishizaki,
    Kedar Sovani, Koan-Sin Tan, Koki Ibukuro, Krzysztof Laskowski, Kushagra Sharma,
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
    - 727.7K bytes
    - Viewed (8)
  5. tensorflow/c/c_api_experimental.cc

      // caller of event_mgr->ThenExecute() blocks on the completion of the callback
      // (as in the case of ConstOp kernel creation on GPU, which involves copying a
      // CPU tensor to GPU).
      // Setting a larger thread pool does not help with the Swift caller, as we use
      // a different TFE context for each thread of execution (for running graph
      // functions, and their send/recvs corountines).
      config.set_inter_op_parallelism_threads(1);
    
    C++
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 15 03:35:10 GMT 2024
    - 29.4K bytes
    - Viewed (0)
  6. .bazelrc

    lrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/core/tfrt/runtime,tensorflow/core/tfrt/saved_model,tensorflow/core/tfrt/graph_executor,tensorflow/core/tfrt/saved_model/tests,tensorflow/core/tfrt/tpu,tensorflow/core/tfrt/utils,tensorflow/core/tfrt/utils/debug,tensorflow/core/tfrt/save...
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
    - Last Modified: Thu May 02 19:34:20 GMT 2024
    - 52.8K bytes
    - Viewed (2)
  7. tensorflow/c/eager/parallel_device/parallel_device_lib.h

      // A sequence of thread wrappers, one per device, for executing operations in
      // parallel.
      //
      // Conceptually this is a thread pool with one thread per device. It requires
      // less synchronization than a thread pool would for this task, since Execute
      // acquires each thread in order (and so only one Execute will schedule
      // blocking collective operations at a time), and avoids some dynamic
    C
    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Tue Apr 25 15:21:13 GMT 2023
    - 12.9K bytes
    - Viewed (0)
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