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@ -777,9 +777,7 @@ TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
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} else {
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status->status =
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env->LoadDynamicLibrary(library_filename, &lib_handle->lib_handle);
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if (status->status.ok()) {
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// Init PluggableDevice Plugin
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} else {
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if (!status->status.ok()) {
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delete lib_handle;
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return nullptr;
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}
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@ -170,7 +170,6 @@ class DeviceBase {
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return device_thread_pool_;
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}
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// Does not take ownership.
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void set_eigen_cpu_device(Eigen::ThreadPoolDevice* d);
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@ -204,7 +203,6 @@ class DeviceBase {
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virtual const Eigen::ThreadPoolDevice* eigen_cpu_device();
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// Caller owns the return value. The OpKernelContext calls this even
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// for devices that do not implement an eigen_gpu_device. Overridden
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// by GPU devices to return a derived type.
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@ -159,7 +159,7 @@ def load_library(library_location):
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library_location)
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def load_pluggable_device_library(library_location):
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"""Loads a Tensorflow PluggableDevice plugin.
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"""Loads a TensorFlow PluggableDevice plugin.
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"library_location" can be a path to a specific shared object, or a folder.
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If it is a folder, all shared objects will be loaded. when the library is
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loaded, devices/kernels registered in the library via StreamExecutor C API
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