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.github/ISSUE_TEMPLATE/tflite-other.md
share a link to Colab/Jupyter/any notebook. placeholder: Tell us what you see! value: render: shell validations: required: true - type: textarea id: logs attributes: label: Relevant log output description: Please copy and paste any relevant log output. This will be automatically
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.github/workflows/issue-on-pr-rollback.yml
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ci/official/utilities/generate_index_html.sh
# presubmits. # Usage: generate_index_html.sh /path/to/output/index.html 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>
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) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# > target platform. # See also https://docs.bazel.build/versions/master/guide.html#build-configurations-and-cross-compilation build --distinct_host_configuration=false # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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ci/official/envs/versions_upload
# limitations under the License. # ============================================================================== # Release jobs are very basic. They don't use any caching or RBE, # but they do upload logs to resultstore. # IMPORTANT: trailing slash is required on GCS URIs, as it tells gcloud to # pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# offset of in the current version of ubp. # See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183. build --copt=-Wno-gnu-offsetof-extensions # Store performance profiling log in the mounted artifact directory. # The profile can be viewed by visiting chrome://tracing in a Chrome browser. # See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling
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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// auto fp_cleaner = gtl::MakeCleanup([fp] { fclose(fp); }); // // No matter what, fclose(fp) will happen. // DataObject d; // while (ReadDataObject(fp, &d)) { // if (d.IsBad()) { // LOG(ERROR) << "Bad Data"; // return; // } // PushGoodData(d); // } // } // // You can use Cleanup<F> directly, instead of using MakeCleanup and auto, // but there's rarely a reason to do that.
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.github/ISSUE_TEMPLATE/tflite-in-play-services.md
the problem. If possible, please share a link to or attach code demonstrating the problem. **Any other info / logs** Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
for (int i = 0; i < num_tasks; i++) { int port = tensorflow::testing::PickUnusedPortOrDie(); job_def->mutable_tasks()->insert( {i, tensorflow::strings::StrCat("localhost", ":", port)}); LOG(INFO) << "Picked test port: " << port << " for job: " << job_name << ", task: " << i; } return server_def; } namespace tensorflow { namespace parallel_device {
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
### 4. (optional) RNN conversion support If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title. ### 5. (optional) Any other info / logs
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