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tensorflow/c/eager/c_api_experimental_test.cc
TF_Status* status = TF_NewStatus(); auto* buckets = TFE_MonitoringNewExponentialBuckets(1.0, 2.0, 2); auto* sampler = TFE_MonitoringNewSampler0("test/sampler", buckets, status, "test"); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); auto* cell = TFE_MonitoringGetCellSampler0(sampler); TFE_MonitoringSamplerCellAdd(cell, 1.0); auto* collection_registry = monitoring::CollectionRegistry::Default();
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.gitignore
*.pbxproj *.xcworkspace /*.podspec /tensorflow/lite/**/coreml/**/BUILD /tensorflow/lite/**/ios/BUILD /tensorflow/lite/**/objc/BUILD /tensorflow/lite/**/swift/BUILD /tensorflow/lite/examples/ios/simple/data/*.tflite /tensorflow/lite/examples/ios/simple/data/*.txt Podfile.lock Pods
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ci/official/wheel_test/README.md
specific Python version. ##### Parameters `path_to_tensorflow_wheel`: The local path to the TensorFlow wheel file. Example: `/tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl` `python_version`: The target Python version, replacing `.` with `_`. Example: For Python 3.11, use `3_11` The script performs the following steps: 1. Navigates to the `../requirements_updater` directory.
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tensorflow/c/c_api_test.cc
// Write {0, 1, 2, 3} as tensorflow::Example inputs. Tensor input(tensorflow::DT_STRING, TensorShape({4})); for (int64_t i = 0; i < input.NumElements(); ++i) { tensorflow::Example example; auto* feature_map = example.mutable_features()->mutable_feature(); (*feature_map)["x"].mutable_float_list()->add_value(i); input.flat<tstring>()(i) = example.SerializeAsString(); }
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tensorflow/c/eager/c_api_test.cc
// 6. Create a context D using the full cluster server def E. // 7. Read the variable in D. TEST(CAPI, SingleHostServerDefV1Works) { // Create a server def that represents a 2-process cluster and a client. // Example: // // cluster { job { name: "worker" // tasks { key: 0 value: "localhost:14522" } // tasks { key: 1 value: "localhost:14523" } // }
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RELEASE.md
* Added a new `rerandomize_each_iteration` argument for the `tf.data.Dataset.sample_from_datasets()` operation, which controls whether the sequence of generated random numbers used for sampling should be re-randomized every epoch or not. If `seed` is set and `rerandomize_each_iteration=True`, the `sample_from_datasets()` operation will use a different (deterministic) sequence of numbers every epoch. * `tf.test`:
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ci/official/containers/linux_arm64/devel.usertools/setup_venv_test.sh
set -euxo pipefail # Run this from inside the tensorflow github directory. # Usage: setup_venv_test.sh venv_and_symlink_name "glob pattern for one wheel file" # Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl" # # This will create a venv with that wheel file installed in it, and a symlink # in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the # "pip" tests.
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tensorflow/c/eager/c_api_experimental.h
const char* label1, const char* label2); // ----------------------------------------------------------------------------- // Monitoring Sampler APIs. // These APIs de-templated monitoring Sampler for swig. typedef struct TFE_MonitoringSamplerCell TFE_MonitoringSamplerCell; // Atomically add the value of the cell. TF_CAPI_EXPORT extern void TFE_MonitoringSamplerCellAdd(
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CONTRIBUTING.md
* [C/C++ license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/framework/op.cc#L1) * [Python license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/nn.py#L1) * [Java license example](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/java/src/main/java/org/tensorflow/Graph.java#L1)
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
cat errors.txt rm errors.txt false fi done } @test "No duplicate files on Windows" { cat <<EOF Please rename files so there are no repeats. For example, README.md and Readme.md would be the same file on Windows. In this test, you would get a warning for "readme.md" because it makes everything lowercase. There are repeats of these filename(s) with different casing: EOF
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