pytorch/caffe2/operators/averagepool_op.h
2015-06-25 16:26:01 -07:00

51 lines
1.4 KiB
C++

#ifndef CAFFE2_OPERATORS_AVERAGEPOOL_OP_H_
#define CAFFE2_OPERATORS_AVERAGEPOOL_OP_H_
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include "caffe2/utils/math.h"
#include "glog/logging.h"
namespace caffe2 {
template <typename dtype, class DeviceContext>
class AveragePoolOp final : public ConvPoolOpBase<dtype, DeviceContext> {
public:
USE_CONV_POOL_BASE_FUNCTIONS;
AveragePoolOp(const OperatorDef& operator_def, Workspace* ws)
: ConvPoolOpBase<dtype, DeviceContext>(operator_def, ws) {}
~AveragePoolOp() {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
// Input: X
// Output: Y
INPUT_OUTPUT_STATS(1, 1, 1, 1);
DISABLE_COPY_AND_ASSIGN(AveragePoolOp);
};
template <typename dtype, class DeviceContext>
class AveragePoolGradientOp final :
public ConvPoolOpBase<dtype, DeviceContext> {
public:
USE_CONV_POOL_BASE_FUNCTIONS;
AveragePoolGradientOp(const OperatorDef& operator_def, Workspace* ws)
: ConvPoolOpBase<dtype, DeviceContext>(operator_def, ws) {}
~AveragePoolGradientOp() {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
// Input: X, Y_grad
// Output: X_grad
INPUT_OUTPUT_STATS(2, 2, 1, 1);
DISABLE_COPY_AND_ASSIGN(AveragePoolGradientOp);
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_AVERAGEPOOL_OP_H_