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#ifndef CAFFE2_OPERATORS_COUNTER_OPS_H
#define CAFFE2_OPERATORS_COUNTER_OPS_H
#include <atomic>
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
namespace caffe2 {
template <typename T>
class TORCH_API Counter {
public:
explicit Counter(T count) : count_(count) {}
bool countDown() {
if (count_-- > 0) {
return false;
}
return true;
}
T countUp() {
return count_++;
}
T retrieve() const {
return count_.load();
}
T checkIfDone() const {
return (count_.load() <= 0);
}
T reset(T init_count) {
return count_.exchange(init_count);
}
private:
std::atomic<T> count_;
};
// TODO(jiayq): deprecate these ops & consolidate them with IterOp/AtomicIterOp
template <typename T, class Context>
class CreateCounterOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit CreateCounterOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
init_count_(this->template GetSingleArgument<T>("init_count", 0)) {
CAFFE_ENFORCE_LE(0, init_count_, "negative init_count is not permitted.");
}
bool RunOnDevice() override {
*this->template Output<std::unique_ptr<Counter<T>>>(0) =
std::unique_ptr<Counter<T>>(new Counter<T>(init_count_));
return true;
}
private:
T init_count_ = 0;
};
template <typename T, class Context>
class ResetCounterOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit ResetCounterOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
init_count_(this->template GetSingleArgument<T>("init_count", 0)) {
CAFFE_ENFORCE_LE(0, init_count_, "negative init_count is not permitted.");
}
bool RunOnDevice() override {
auto& counterPtr = this->template Input<std::unique_ptr<Counter<T>>>(0);
auto previous = counterPtr->reset(init_count_);
if (OutputSize() == 1) {
auto* output = Output(0);
output->Resize();
*output->template mutable_data<T>() = previous;
}
return true;
}
private:
T init_count_;
};
// Will always use TensorCPU regardless the Context
template <typename T, class Context>
class CountDownOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit CountDownOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
auto& counterPtr = this->template Input<std::unique_ptr<Counter<T>>>(0);
auto* output = Output(0);
output->Resize(std::vector<int>{});
*output->template mutable_data<bool>() = counterPtr->countDown();
return true;
}
};
// Will always use TensorCPU regardless the Context
template <typename T, class Context>
class CheckCounterDoneOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit CheckCounterDoneOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
auto& counterPtr = this->template Input<std::unique_ptr<Counter<T>>>(0);
auto* output = Output(0);
output->Resize(std::vector<int>{});
*output->template mutable_data<bool>() = counterPtr->checkIfDone();
return true;
}
};
// Will always use TensorCPU regardless the Context
template <typename T, class Context>
class CountUpOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit CountUpOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
auto& counterPtr = this->template Input<std::unique_ptr<Counter<T>>>(0);
auto* output = Output(0);
output->Resize(std::vector<int>{});
*output->template mutable_data<T>() = counterPtr->countUp();
return true;
}
};
// Will always use TensorCPU regardless the Context
template <typename T, class Context>
class RetrieveCountOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit RetrieveCountOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...) {}
bool RunOnDevice() override {
auto& counterPtr = this->template Input<std::unique_ptr<Counter<T>>>(0);
auto* output = Output(0);
output->Resize(std::vector<int>{});
*output->template mutable_data<T>() = counterPtr->retrieve();
return true;
}
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_COUNTER_OPS_H_
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