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CODE_OF_CONDUCT.md
Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between. If the behavior is threatening or harassing, or for other reasons requires immediate escalation, please see below.
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ci/official/utilities/extract_resultstore_links.py
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Extracts ResultStore links from a log containing Bazel invocations. The links and the invocations' status can then be printed out, or output in the form of JUnit-based XML. """ import argparse import datetime
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README.md
open-source software development. ## Patching guidelines Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities: * Clone the TensorFlow repo and switch to the corresponding branch for your desired TensorFlow version, for example, branch `r2.8` for version 2.8. * Apply (that is, cherry-pick) the desired changes and resolve any code conflicts.
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ci/official/utilities/setup.sh
else FROM_ENV=$(mktemp) # "export -p" prints a list of environment values in a safe-to-source format, # e.g. `declare -x TFCI_BAZEL_COMMON_ARGS="list of args"` for bash. export -p | grep TFCI > "$FROM_ENV" # Source the default ci values source ./ci/official/envs/ci_default # TODO(angerson) write this documentation # Sources every env, in order, from the comma-separated list "TFCI"
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.github/ISSUE_TEMPLATE/tflite-op-request.md
--- name: TensorFlow Lite Op Request about: Use this template for reporting Lite ops you are using or missing labels: 'comp:lite' --- **System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installed from (source or binary): - TensorFlow version (or github SHA if from source): **Provide the text output from tflite_convert** ``` # Copy and paste here ```
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.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
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ci/official/upload.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # This script uploads all staged artifacts from all previous builds in the same # job chain to GCS and PyPI. source "${BASH_SOURCE%/*}/utilities/setup.sh" # Update the version numbers for Nightly only, then fetch the version numbers
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// its corresponding inputs from the input ParallelTensors. Wraps the // resulting per-device and per-output TFE_TensorHandles into one // ParallelTensor per output of the original operation. // // Attributes are forwarded to executed operations unmodified. // // The returned optional has a value if and only if `status` evaluates to // TF_OK. Bad statuses are forwarded from underlying `TFE_Execute` calls, or
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tensorflow/c/eager/c_api_experimental_reader.h
// Test only exports of the monitoring Cell Reader API which allows tests to // read current values from streamz counters defined in other modules. // // The code under test will have created streamz counters like this: // auto* streamz = tensorflow::monitoring::Counter<1>::New("name", // "description", "label"); // and then incremented that counter for various values of label: // streamz->GetCell("label-value")->IncrementBy(1); //
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tensorflow/c/eager/parallel_device/parallel_device.cc
tensorflow::unwrap(tensor)->DebugString(), " on to a parallel device. Pack non-parallel " "tensors for each device into a parallel tensor explicitly.") .c_str()); return nullptr; } // For TFE_CustomDevice::copy_tensor_from_device in the parallel device // registration. // // Currently this is an error, and un-packing ParallelTensors must be performed
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