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ci/official/wheel_test/README.md
Example: For Python 3.11, use `3_11` The script performs the following steps: 1. Navigates to the `../requirements_updater` directory. 2. Creates a `requirements_wheel_test.in` file and specifies the path to the actual TensorFlow wheel. 3. Creates a `requirements_lock_<python_version>.txt` file. 4. Updates the `requirements_lock_<python_version>.txt` file using a Bazel command.
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.github/workflows/issue-on-pr-rollback.yml
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== name: Creates a GitHub Issue when a PR Rolled back via Commit to Master on: push: branches: - master permissions: {} jobs: create-issue-on-pr-rollback: runs-on: ubuntu-latest
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tensorflow/c/eager/c_api_remote_test_util.h
#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,
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tensorflow/c/eager/unified_api_testutil.h
#include "tensorflow/core/platform/status.h" namespace tensorflow { // Builds and returns a `TracingContext` using the default tracing impl. AbstractContext* BuildFunction(const char* fn_name); // Creates parameters (placeholders) in the tracing `ctx` using the shape and // dtype of `inputs`. Status CreateParamsForInputs(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
namespace tensorflow { namespace { using ::tensorflow::error::Code; // As we need to test multiple URI schemes we need a parameterized test. // Furthermore, since each test creates and deletes files, we will use the same // fixture to create new directories in `SetUp`. Each directory will reside in // `::testing::TempDir()`, will use a RNG component and the test name. This
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tensorflow/c/eager/c_api_unified_experimental.cc
using tensorflow::tracing::TracingTensorHandle; void TF_SetTracingImplementation(const char* name, TF_Status* s) { tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name)); } // Creates a new TensorFlow function, it is an execution context attached to a // given tracing context. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) { return wrap(CreateTracingExecutionContext(fn_name, s));
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for # TensorFlow python tests.
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tensorflow/c/eager/c_api.h
// Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory).
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tensorflow/c/c_api.cc
"and will trigger an error in the future. Either don't modify " "nodes after running them or create a new session."); } } } namespace { // Helper method that creates a shape handle for a shape described by dims. tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims( tensorflow::shape_inference::InferenceContext* ic, int num_dims, const int64_t* dims) {
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tensorflow/c/env.h
// that the system default will be used. size_t guard_size; // The NUMA node to use, -1 implies that there should be no NUMA affinity for // this thread. int numa_node; } TF_ThreadOptions; // Creates the specified directory. Typical status code are: // * TF_OK - successfully created the directory // * TF_ALREADY_EXISTS - directory already exists // * TF_PERMISSION_DENIED - dirname is not writable
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