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README.md
[Device plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices). A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
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tensorflow/c/eager/c_api.h
// Destroy an options object. TF_CAPI_EXPORT extern void TFE_DeleteContextOptions(TFE_ContextOptions*); // "Context" under which operations/functions are executed. It encapsulates // things like the available devices, resource manager etc. // TFE_Context must outlive all tensor handles created using it. In other // words, TFE_DeleteContext() must be called after all tensor handles have // been deleted (with TFE_DeleteTensorHandle).
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tensorflow/c/eager/immediate_execution_context.h
// Runtime. This is necessary to decouple runtime-dependent // code that is layered on top of the runtime. virtual bool UsesTFRT() = 0; // List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0; // Add `devices` into context's device manager. Context's device manager // will take ownership and maintain devices' lifetime.
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
~GraphOperation() override {} private: friend class GraphContext; // For access to op_. TF_Graph* g_; std::unique_ptr<TF_OperationDescription> op_; // Hold `op_type` and `op_name` till both are available since we need both // to build a graph operation. string op_type_; const char* op_name_ = nullptr; // TODO(srbs): Use this. string device_name_; };
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tensorflow/c/eager/tape.h
// any gradients to be computed). // // Finally, we start a backprop stack with a set of tape entries for which we // have all gradients available. This set usually is a subset of the set of // targets (not all since targets which have outputs in the tape will not have // gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update
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