blob: fa77492e4db6732430a7275006c3374e733a0a0b [file] [log] [blame]
#ifndef CAFFE2_OPERATORS_POOL_OP_H_
#define CAFFE2_OPERATORS_POOL_OP_H_
#include "caffe2/core/common_omp.h"
#include "caffe2/core/context.h"
#include "caffe2/core/logging.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include "caffe2/utils/math.h"
namespace caffe2 {
template <typename T, class Context, typename PoolType>
class PoolOp final : public ConvPoolOpBase<Context> {
public:
USE_CONV_POOL_BASE_FUNCTIONS(Context);
PoolOp(const OperatorDef& operator_def, Workspace* ws)
: ConvPoolOpBase<Context>(operator_def, ws) {
for (int i = 0; i < kernel_.size(); ++i) {
CAFFE_ENFORCE(
dilation_[i] == 1, "Pooling op does not support dilation right now.");
}
if (!global_pooling_) {
for (int i = 0; i < kernel_.size(); ++i) {
CAFFE_ENFORCE(
pads_[i] < kernel_[i] && pads_[i + kernel_.size()] < kernel_[i],
"Pad should be smaller than kernel.");
}
}
}
~PoolOp() {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
// Input: X
// Output: Y
};
template <typename T, class Context, class PoolType>
class PoolGradientOp final : public ConvPoolOpBase<Context> {
public:
USE_CONV_POOL_BASE_FUNCTIONS(Context);
PoolGradientOp(const OperatorDef& operator_def, Workspace* ws)
: ConvPoolOpBase<Context>(operator_def, ws) {}
~PoolGradientOp() {}
bool RunOnDeviceWithOrderNCHW() override;
bool RunOnDeviceWithOrderNHWC() override;
// Input: X, Y, dY
// Output: dX
};
} // namespace caffe2
#endif // CAFFE2_OPERATORS_POOL_OP_H_