pytorch/caffe2/quantization/server/channel_shuffle_dnnlowp_op.h
Jongsoo Park 90ea61800f operators/quantized/server -> quantization/server (#13660)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/13660

Any change in server side quantized operator was triggering ios-sanity-check with more than 5 hours testing time. I suspect this was because the operator code was synced with xplat directory. This diff moves server side quantized operators to caffe2/caffe2/quantization/server to avoid this issue.

Reviewed By: hx89

Differential Revision: D12955420

fbshipit-source-id: b6c824b9de5e2a696f8c748e1b2c77d81d46746b
2018-11-07 22:54:13 -08:00

38 lines
923 B
C++

#pragma once
#include "caffe2/operators/channel_shuffle_op.h"
#include "caffe2/operators/conv_pool_op_base.h"
#include "caffe2/quantization/server/conv_pool_dnnlowp_op_base.h"
#include "caffe2/quantization/server/dnnlowp.h"
#include "caffe2/quantization/server/dnnlowp_op.h"
namespace caffe2 {
namespace {
template <class Context>
using ChannelShuffleFp32Op = ChannelShuffleOp<float, Context>;
} // namespace
template <typename T>
class ChannelShuffleDNNLowPOp final
: public DNNLowPOp<T, ChannelShuffleFp32Op<CPUContext>> {
public:
USE_OPERATOR_FUNCTIONS(CPUContext);
USE_DNNLOWP_OPERATOR_BASE_FUNCTIONS(T, ChannelShuffleFp32Op<CPUContext>);
ChannelShuffleDNNLowPOp(const OperatorDef& operator_def, Workspace* ws);
bool RunOnDevice() override;
bool RunOnDeviceWithOrderNCHW();
bool RunOnDeviceWithOrderNHWC();
private:
const StorageOrder order_;
const int group_;
};
} // namespace caffe2