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tensorflow/c/experimental/ops/README.md
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ci/official/utilities/cleanup_summary.sh
function resultstore_extract_fallback { # In case the main script fails somehow. cat <<EOF IMPORTANT: For bazel invocations that uploaded to ResultStore (e.g. RBE), you can view more detailed results that are probably easier to read than this log. Try the links below: EOF # Find any "Streaming build results to" line, then print the last word in it, # and don't print duplicates
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
If the conversion is successful, but the generated model is wrong, then state what is wrong: - Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 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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ci/official/utilities/rename_and_verify_wheels.sh
# expects just one wheel file to exist. if [[ "$(ls *.whl | wc -l | tr -d ' ')" != "1" ]]; then echo "More than one wheel file is present: moving the oldest to" echo "$TFCI_OUTPUT_DIR/extra_wheels." # List all .whl files by their modification time (ls -t) and move anything # other than the most recently-modified one (the newest one). mkdir -p $TFCI_OUTPUT_DIR/extra_wheels
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RELEASE.md
* Unary GPU kernels: Abs, Atanh, Acos, Acosh, Asin, Asinh, Atan, Cos, Cosh, Sin, Sinh, Tan, Tanh. * Binary GPU kernels: AddV2, Sub, Div, DivNoNan, Mul, MulNoNan, FloorDiv, Equal, NotEqual, Greater, GreaterEqual, LessEqual, Less. * `tf.lite` * Add experimental supports conversion of models that may be larger than 2GB before buffer deduplication
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tensorflow/c/eager/c_api_experimental.h
// is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same
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CONTRIBUTING.md
- You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests. - We can't move forward if these tests fail.
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tensorflow/c/c_test_util.cc
return op; } TF_Operation* LessThan(TF_Output l, TF_Output r, TF_Graph* graph, TF_Status* s) { TF_OperationDescription* desc = TF_NewOperation(graph, "Less", "less_than"); TF_AddInput(desc, l); TF_AddInput(desc, r); return TF_FinishOperation(desc, s); } TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# directly under the root to the "maven-style" src/main/java layout # # Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
} // Copies a function table from plugin memory space to core memory space. // // This has three benefits: // * allows having newer plugins than the current core TensorFlow: the // additional entries in the plugin's table are just discarded; // * allows having older plugins than the current core TensorFlow (though // we are still warning users): the entries that core TensorFlow expects
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