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ci/official/wheel_test/README.md
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. 5. Moves the updated `requirements_lock_<python_version>.txt` file to the `../wheel_test/` directory. ### How it Works in the Presubmit Job `_requirements_lock` files will be generated by the presubmit job. A detailed
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tensorflow/c/eager/c_api_experimental_test.cc
server_def_0, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); // 5a. Update `ctx_0` with updated `server_def_0`. { server_def_0.set_task_index(0); string serialized_update = server_def_0.SerializeAsString(); TF_Status* status = TF_NewStatus();
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tensorflow/c/eager/c_api_test.cc
server_def_0, tensorflow::Env::Default(), &worker_server1) .ok()); ASSERT_TRUE(worker_server1->Start().ok()); // 5a. Update `ctx_0` with updated `server_def_0`. { server_def_0.set_task_index(0); string serialized_update = server_def_0.SerializeAsString(); TF_Status* status = TF_NewStatus();
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ci/official/requirements_updater/updater.sh
# ============================================================================== # script to run pip-compile for each requirement. # if there is a change in requirements.in then all lock files will be updated # accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12")
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:05:45 GMT 2024 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
virtual const string& Name() const = 0; // 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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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp. # See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183. build --copt=-Wno-gnu-offsetof-extensions
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tensorflow/c/env.h
// updated, otherwise it is not touched. TF_CAPI_EXPORT extern void TF_FileStat(const char* filename, TF_FileStatistics* stats, TF_Status* status); // Creates or truncates the given filename and returns a handle to be used for // appending data to the file. If status is TF_OK, *handle is updated and the
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tensorflow/c/eager/c_api_distributed_test.cc
tensorflow::FunctionLibraryDefinition* flib_def, std::vector<std::string>* control_ret_node_names, bool* control_rets_updated) override { // Inject failure to function instantiation if finding a node that contains // the given node name (error_node_) and requested device (error_device_). for (const auto node : graph->get()->nodes()) {
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tensorflow/c/c_api.h
TF_Graph* const cond_graph; const TF_Output* const cond_inputs; TF_Output cond_output; // The loop body graph. The inputs are the current values of the loop // variables. The outputs are the updated values of the loop variables. TF_Graph* const body_graph; const TF_Output* const body_inputs; TF_Output* const body_outputs; // Unique null-terminated name for this while loop. This is used as a prefix
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tensorflow/c/eager/c_api_cluster_test.cc
// Update the server def with a new set of names (worker instead of // localhost). tensorflow::ServerDef updated_server_def = GetServerDef("worker", 2); serialized = updated_server_def.SerializeAsString(); updated_server_def.set_task_index(1); tensorflow::Status s = tensorflow::GrpcServer::Create( updated_server_def, tensorflow::Env::Default(), &worker_server); ASSERT_TRUE(s.ok()) << s.message();
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