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tensorflow/c/eager/tfe_monitoring_reader_internal.h
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
--- name: TensorFlow Lite Converter Issue about: Use this template for reporting issues during model conversion to TFLite labels: 'TFLiteConverter' --- ### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code
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tensorflow/c/eager/c_api.h
#ifndef TENSORFLOW_C_EAGER_C_API_H_ #define TENSORFLOW_C_EAGER_C_API_H_ // C API extensions to experiment with eager execution of kernels. // WARNING: Unlike tensorflow/c/c_api.h, the API here is not guaranteed to be // stable and can change without notice. #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_macros.h" #ifdef __cplusplus extern "C" { #endif typedef struct TFE_ContextOptions TFE_ContextOptions;
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CONTRIBUTING.md
start by trying one of the smaller/easier issues here i.e. [issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue) and then take a look at the [issues with the "contributions welcome" label](https://github.com/tensorflow/tensorflow/labels/stat%3Acontributions%20welcome). These are issues that we believe are particularly well suited for outside
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tensorflow/api_template_v1.__init__.py
_logging.warning(""" TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0. Please upgrade your code to TensorFlow 2.0: * https://www.tensorflow.org/guide/migrate Or install the latest stable TensorFlow 1.X release: * `pip install -U "tensorflow==1.*"` Otherwise your code may be broken by the change. """) # Make sure directory containing top level submodules is in
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ci/official/envs/public_cache_push
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # Sourcing this enables Bazel remote cache (read and write) # Note that "_push" cache configs write to GCS buckets and require # authentication. If you are not a Googler, source "public_cache" to enable the # public read-only cache.
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tensorflow/c/eager/immediate_execution_context.h
// Configure device placement policy logging. virtual void SetLogDevicePlacement(bool enable) = 0; // Enables running eager ops as functions. virtual void SetRunEagerOpAsFunction(bool enable) = 0; // Enables rewriting jit_compile functions. virtual void SetJitCompileRewrite(bool enable) = 0; // Sets the device placement policy for the current thread.
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tensorflow/BUILD
define_values = {"tf_api_version": "2"}, visibility = ["//visibility:public"], ) # This flag enables experimental MLIR support. config_setting( name = "with_mlir_support", define_values = {"with_mlir_support": "true"}, visibility = ["//visibility:public"], ) # This flag forcibly enables experimental MLIR bridge support. config_setting( name = "enable_mlir_bridge",
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.github/workflows/trusted_partners.js
Add Labels - kokoro:force-run The PR is also assigned to specific teams to fast track review Additional reviewers can be added manually based on PR contents @param {!object} github enables querying for PR and also create issue using rest endpoint context has the commit message details in the payload @return {string} Returns the message with labels attached and assignees added */
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.github/workflows/stale-issues.yml
with: #Comma separated list of labels that can be assigned to issues to exclude them from being marked as stale exempt-issue-labels: 'override-stale' #Comma separated list of labels that can be assigned to PRs to exclude them from being marked as stale exempt-pr-labels: "override-stale" #Limit the No. of API calls in one run default value is 30.
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