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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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.gitignore
# iOS *.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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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/requirements_updater/README.md
and [here](https://github.com/tensorflow/tensorflow/commit/052445e04ce20fd747657e0198a1bcec2b6dff5b), for an example. See [this commit](https://github.com/tensorflow/tensorflow/commit/5f7f05a80aac9b01325a78ec3fcff0dbedb1cc23) as a rough example of the steps below. All the files referenced below are located in the same directory as this README, unless indicated otherwise.
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ci/official/README.md
against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions: ```bash cd tensorflow-git-dir # Here is a single-line example of running a script on Linux to build the # GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and # a local build cache: TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh
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tensorflow/c/eager/c_api_experimental.h
// // device_info is an opaque caller-defined type stored with the custom device // which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. // // There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the
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RELEASE.md
* Fixed bug in `tf.data.experimental.parse_example_dataset` when `tf.io.RaggedFeatures` would specify `value_key` but no `partitions`. Before the fix, setting `value_key` but no `partitions` would result in the feature key being replaced by the value key, e.g. `{'value_key': <RaggedTensor>}` instead of `{'key': <RaggedTensor>}`. Now the correct feature key will be used. This aligns the behavior of `tf.data.experimental.parse_example_dataset` to match the behavior of `tf.io.parse_example`....
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ci/official/utilities/code_check_full.bats
//tensorflow/python/feature_column:vocabulary_testdata //tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell //tensorflow/lite/experimental/examples/lstm:rnn_cell.py //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test //tensorflow/lite/experimental/examples/lstm:unidirectional_sequence_lstm_test.py //tensorflow/lite/python:interpreter //tensorflow/lite/python:interpreter_test
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tensorflow/BUILD
# addition to this core set of ops, user libraries which are loaded (via # TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this # shared object directly. # # For example, from Python tf.load_op_library loads a custom op library (via # dlopen() on Linux), the library finds libtensorflow_framework.so (no # filesystem search takes place, since libtensorflow_framework.so has already
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.bazelrc
# MACOS ARM64 WHEEL
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