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#ifndef CAFFE2_OPERATORS_ARG_OPS_H_
#define CAFFE2_OPERATORS_ARG_OPS_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/core/types.h"
#include <c10/util/irange.h>
#include <algorithm>
#include <iterator>
#include <vector>
namespace caffe2 {
template <class Context, class Reducer>
class ArgOp final : public Operator<Context> {
public:
USE_OPERATOR_CONTEXT_FUNCTIONS;
template <class... Args>
explicit ArgOp(Args&&... args)
: Operator<Context>(std::forward<Args>(args)...),
OP_SINGLE_ARG(int, "axis", axis_, -1),
OP_SINGLE_ARG(bool, "keepdims", keep_dims_, true) {}
bool RunOnDevice() override {
return DispatchHelper<
TensorTypes<std::int32_t, std::int64_t, float, double>>::
call(this, Input(0));
}
template <typename T>
bool DoRunWithType() {
const auto& X = Input(0);
const int ndim = X.dim();
if (axis_ == -1) {
axis_ = ndim - 1;
}
CAFFE_ENFORCE_GE(axis_, 0);
CAFFE_ENFORCE_LT(axis_, ndim);
const std::vector<int> X_dims(X.sizes().cbegin(), X.sizes().cend());
std::vector<int64_t> Y_dims;
Y_dims.reserve(ndim);
int prev_size = 1;
int next_size = 1;
for (const auto i : c10::irange(axis_)) {
Y_dims.push_back(X_dims[i]);
prev_size *= X_dims[i];
}
if (keep_dims_) {
Y_dims.push_back(1);
}
for (int i = axis_ + 1; i < ndim; ++i) {
Y_dims.push_back(X_dims[i]);
next_size *= X_dims[i];
}
auto* Y = Output(0, Y_dims, at::dtype<int64_t>());
const int n = X_dims[axis_];
return reducer_(
prev_size,
next_size,
n,
X.template data<T>(),
Y->template mutable_data<int64_t>(),
&context_);
}
private:
int axis_;
const bool keep_dims_;
Reducer reducer_{};
};
template <class Context>
struct ArgMaxReducer {
template <typename T>
bool operator()(
const int prev_size,
const int next_size,
const int n,
const T* X,
int64_t* Y,
Context* context) const;
};
template <class Context>
struct ArgMinReducer {
template <typename T>
bool operator()(
const int prev_size,
const int next_size,
const int n,
const T* X,
int64_t* Y,
Context* context) const;
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_ARG_OPS_H_
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