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tensorflow/c/c_api_macros_internal.h
#ifndef TENSORFLOW_C_C_API_MACROS_INTERNAL_H_ #define TENSORFLOW_C_C_API_MACROS_INTERNAL_H_ #ifdef __cplusplus #include "tensorflow/core/platform/status.h" // Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized. // `struct_size` is used for struct member compatibility check between core TF // and plug-ins with the same C API minor version. More info here:
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tensorflow/c/eager/c_api_experimental_test.cc
// // 1. Create a variable on `remote_device`, using `ctx_0`. TFE_TensorHandle* handle_0 = CreateVariable(ctx_0, 1.2, remote_device, /*variable_name=*/"var"); // 2. Wait for `var` to be created and initialized on the worker. TF_Status* status = TF_NewStatus(); TFE_ContextAsyncWait(ctx_0, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_DeleteStatus(status);
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ci/official/README.md
is a brief explanation of how they tie together: 1. `envs/*` are lists of variables made with bash syntax. A user must set a `TFCI` env param pointing to a list of `env` files. 2. `utilities/setup.sh`, initialized by all top-level scripts, reads and sets values from those `TFCI` paths. - `set -a` / `set -o allexport` exports the variables from `env` files so all scripts can use them.
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tensorflow/c/eager/c_api_test.cc
// 1. Create a variable on `remote_device`, using `ctx_0`. TFE_TensorHandle* handle_0 = CreateVariable(ctx_0, 1.2, remote_device, /*variable_name=*/"var2"); // 2. Wait for `var2` to be created and initialized on the worker. TF_Status* status = TF_NewStatus(); TFE_ContextAsyncWait(ctx_0, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TF_DeleteStatus(status);
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tensorflow/c/eager/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well. TF_CAPI_EXPORT extern uint64_t TFE_GetContextId(TFE_Context* ctx);
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tensorflow/c/checkpoint_reader.cc
: reader_(nullptr), v2_reader_(nullptr), var_to_shape_map_(nullptr), var_to_data_type_map_(nullptr) { // Depending on whether this is a V2 ckpt, initializes "reader_" or // "v2_reader_". std::vector<string> v2_path; if (Env::Default()->GetMatchingPaths(MetaFilename(filename), &v2_path).ok() && !v2_path.empty()) { v2_reader_.reset(
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tensorflow/c/eager/parallel_device/BUILD
package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup( name = "lib_headers", srcs = ["parallel_device_lib.h"], )
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tensorflow/c/eager/c_api_experimental.cc
status->status = tensorflow::DeviceFactory::AddCpuDevices(sess_options, prefix, &devices); // Remove the device that has the host device name since host device is alreay // in an initialized context. for (auto d = devices.begin(); d != devices.end();) { if (absl::StrContains(d->get()->name(), "CPU:0")) { d = devices.erase(d); } else { ++d; } }
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tensorflow/c/c_api_experimental.cc
"PluggableDevice plugin functionality is not supported on mobile"); return nullptr; #else TF_Library* lib_handle = new TF_Library; static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED); static std::unordered_map<std::string, void*>* loaded_libs = new std::unordered_map<std::string, void*>(); tensorflow::Env* env = tensorflow::Env::Default(); { tensorflow::mutex_lock lock(mu);
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tensorflow/c/eager/immediate_execution_distributed_manager.h
int64_t init_timeout_in_ms, int retries, bool clear_existing_contexts = false) = 0; // Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix.
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