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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you
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tensorflow/c/eager/abstract_operation.h
// Returns the operation's device name. // // The value returned may be different from the one set by SetDeviceName, but // it will be compatible with it: the name will be updated by device placement // logic to refer to the specific device chosen. // // Example: If one calls `op->SetDeviceName("/device:GPU")`, the value // returned by DeviceName should be "/device:GPU:*" until a particular GPU is
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tensorflow/c/env_test.cc
const char* childpath; ASSERT_TRUE(TF_StringStreamNext(children, &childpath)); ASSERT_EQ(::tensorflow::string(childpath), "somefile.txt"); // There should only be one file in this directory. ASSERT_FALSE(TF_StringStreamNext(children, &childpath)); ASSERT_EQ(childpath, nullptr); TF_StringStreamDone(children); TF_FileStatistics stats;
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
TensorHandlePtr value_one(FloatTensorHandle(3., status.get())); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TensorHandlePtr value_two(FloatTensorHandle(-2., status.get())); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); std::array<TFE_TensorHandle*, 2> in_components{value_one.get(),
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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
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CONTRIBUTING.md
airtime before a decision is made regarding whether they are to be migrated to the core. * As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// same filesystem and the malicious one loads before the legimitate one - /// but we consider this to be something that users should care about and /// manage themselves). In both of these cases, core TensorFlow looks for /// the `TF_InitPlugin` symbol and calls this function. /// /// For every filesystem URI scheme that this plugin supports, the plugin must /// add one `TF_FilesystemPluginInfo` entry in `plugin_info->ops` and call
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code Provide code to help us reproduce your issues using one of the following options: #### Option A: Reference colab notebooks
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tensorflow/c/eager/custom_device_test.cc
std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> one( TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle); op.reset(TFE_NewOp(context.get(), "AssignVariableOp", status.get())); TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT); TFE_OpAddInput(op.get(), var_handle, status.get()); TFE_OpAddInput(op.get(), one.get(), status.get()); TFE_OpSetDevice(op.get(), name, status.get());
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ci/official/wheel_test/update_requirements.sh
# script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history set -euo pipefail -o history # Check for required arguments
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