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#ifndef TENSORFLOW_STREAM_EXECUTOR_PLUGIN_H_
#define TENSORFLOW_STREAM_EXECUTOR_PLUGIN_H_
namespace perftools {
namespace gputools {
// A plugin ID is a unique identifier for each registered plugin type.
typedef void* PluginId;
// Helper macro to define a plugin ID. To be used only inside plugin
// implementation files. Works by "reserving" an address/value (guaranteed to be
// unique) inside a process space.
#define PLUGIN_REGISTRY_DEFINE_PLUGIN_ID(ID_VAR_NAME) \
namespace { \
int plugin_id_value; \
} \
const PluginId ID_VAR_NAME = &plugin_id_value;
// kNullPlugin denotes an invalid plugin identifier.
extern const PluginId kNullPlugin;
// Enumeration to list the supported types of plugins / support libraries.
enum class PluginKind {
kInvalid,
kBlas,
kDnn,
kFft,
kRng,
};
// A PluginConfig describes the set of plugins to be used by a StreamExecutor
// instance. Each plugin is defined by an arbitrary identifier, usually best set
// to the address static member in the implementation (to avoid conflicts).
//
// A PluginConfig may be passed to the StreamExecutor constructor - the plugins
// described therein will be used to provide BLAS, DNN, FFT, and RNG
// functionality. Platform-approprate defaults will be used for any un-set
// libraries. If a platform does not support a specified plugin (ex. cuBLAS on
// an OpenCL executor), then an error will be logged and no plugin operations
// will succeed.
//
// The StreamExecutor BUILD target does not link ANY plugin libraries - even
// common host fallbacks! Any plugins must be explicitly linked by dependent
// targets. See the cuda, opencl and host BUILD files for implemented plugin
// support (search for "plugin").
class PluginConfig {
public:
// Value specifying the platform's default option for that plugin.
static const PluginId kDefault;
// Initializes all members to the default options.
PluginConfig();
bool operator==(const PluginConfig& rhs) const;
// Sets the appropriate library kind to that passed in.
PluginConfig& SetBlas(PluginId blas);
PluginConfig& SetDnn(PluginId dnn);
PluginConfig& SetFft(PluginId fft);
PluginConfig& SetRng(PluginId rng);
PluginId blas() const { return blas_; }
PluginId dnn() const { return dnn_; }
PluginId fft() const { return fft_; }
PluginId rng() const { return rng_; }
private:
PluginId blas_, dnn_, fft_, rng_;
};
} // namespace gputools
} // namespace perftools
#endif // TENSORFLOW_STREAM_EXECUTOR_PLUGIN_H_
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