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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/eager/c_api_unified_experimental_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); TFE_DeleteContextOptions(opts); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); /* Want to test simple MatMul example: [[0,0], * [[0,0], = [[0,0], [0,0]] [0,0]] [0,0]] */ // Build an abstract input tensor. int64_t dims[] = {2, 2}; // Matrices will be 2 x 2
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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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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/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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SECURITY.md
to the network can execute arbitrary code with the privileges of the user running the `tf.train.Server`. ## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate formats that can be processed by TensorFlow.
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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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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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.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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