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#include "tensorflow/core/framework/op.h"
#include <algorithm>
#include <memory>
#include <vector>
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/lib/gtl/map_util.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/port.h"
#include "tensorflow/core/platform/protobuf.h"
namespace tensorflow {
// OpRegistry -----------------------------------------------------------------
OpRegistryInterface::~OpRegistryInterface() {}
OpRegistry::OpRegistry() : initialized_(false) {}
void OpRegistry::Register(std::function<OpDef(void)> func) {
mutex_lock lock(mu_);
if (initialized_) {
OpDef def = func();
TF_QCHECK_OK(RegisterAlreadyLocked(def)) << "Attempting to register: "
<< SummarizeOpDef(def);
} else {
deferred_.push_back(func);
}
}
const OpDef* OpRegistry::LookUp(const string& op_type_name,
Status* status) const {
const OpDef* op_def = nullptr;
bool first_call = false;
{ // Scope for lock.
mutex_lock lock(mu_);
first_call = CallDeferred();
op_def = gtl::FindWithDefault(registry_, op_type_name, nullptr);
// Note: Can't hold mu_ while calling Export() below.
}
if (first_call) {
TF_QCHECK_OK(ValidateKernelRegistrations(this));
}
if (op_def == nullptr) {
status->Update(
errors::NotFound("Op type not registered '", op_type_name, "'"));
static bool first = true;
if (first) {
OpList op_list;
Export(true, &op_list);
LOG(INFO) << "All registered Ops:";
for (const auto& op : op_list.op()) {
LOG(INFO) << SummarizeOpDef(op);
}
first = false;
}
}
return op_def;
}
void OpRegistry::Export(bool include_internal, OpList* ops) const {
mutex_lock lock(mu_);
CallDeferred();
std::vector<std::pair<string, const OpDef*>> sorted(registry_.begin(),
registry_.end());
std::sort(sorted.begin(), sorted.end());
auto out = ops->mutable_op();
out->Clear();
out->Reserve(sorted.size());
for (const auto& item : sorted) {
if (include_internal || !StringPiece(item.first).starts_with("_")) {
*out->Add() = *item.second;
}
}
}
string OpRegistry::DebugString(bool include_internal) const {
OpList op_list;
Export(include_internal, &op_list);
string ret;
for (const auto& op : op_list.op()) {
strings::StrAppend(&ret, SummarizeOpDef(op), "\n");
}
return ret;
}
bool OpRegistry::CallDeferred() const {
if (initialized_) return false;
initialized_ = true;
for (const auto& fn : deferred_) {
OpDef def = fn();
TF_QCHECK_OK(RegisterAlreadyLocked(def)) << "Attempting to register: "
<< SummarizeOpDef(def);
}
deferred_.clear();
return true;
}
Status OpRegistry::RegisterAlreadyLocked(const OpDef& def) const {
TF_RETURN_IF_ERROR(ValidateOpDef(def));
std::unique_ptr<OpDef> copy(new OpDef(def));
if (gtl::InsertIfNotPresent(®istry_, def.name(), copy.get())) {
copy.release(); // Ownership transferred to op_registry
return Status::OK();
} else {
return errors::AlreadyExists("Op with name ", def.name());
}
}
// static
OpRegistry* OpRegistry::Global() {
static OpRegistry* global_op_registry = new OpRegistry;
return global_op_registry;
}
namespace register_op {
OpDefBuilder& RegisterOp(StringPiece name) {
VLOG(1) << "RegisterOp: " << name;
OpDefBuilder* b = new OpDefBuilder(name);
OpRegistry::Global()->Register([b]() -> ::tensorflow::OpDef {
OpDef op_def;
TF_QCHECK_OK(b->Finalize(&op_def));
delete b;
return op_def;
});
return *b;
}
} // namespace register_op
} // namespace tensorflow
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