reid from https://github.com/michuanhaohao/reid-strong-baseline
zhangmeng
2020-01-17 f7c4a3cfd07adede3308f8d9d3d7315427d90a7c
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#ifndef CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
#define CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_
 
#include "caffe2/core/common.h"
 
#ifdef C10_MOBILE
 
#include "caffe2/core/context.h"
#include "caffe2/core/operator.h"
#include "caffe2/operators/conv_transpose_unpool_op_base.h"
 
namespace caffe2 {
 
template <typename T, class Context>
class ConvTransposeMobileOp final : public ConvTransposeUnpoolBase<Context> {
 public:
  USE_CONV_TRANSPOSE_UNPOOL_BASE_FUNCTIONS(Context);
  ConvTransposeMobileOp(const OperatorDef& operator_def, Workspace* ws)
      : ConvTransposeUnpoolBase<Context>(operator_def, ws) {
    OPERATOR_NEEDS_FEATURE(order_ == StorageOrder::NCHW, "Only NCHW order is supported right now.");
    OPERATOR_NEEDS_FEATURE(
        this->pad_l() == 0, "operator does not handle row width padding");
    OPERATOR_NEEDS_FEATURE(
        this->pad_r() == 0, "operator does not handle row width padding");
    OPERATOR_NEEDS_FEATURE(this->stride_w() <= 4, "stride width must be <= 4");
  }
 
  bool RunOnDeviceWithOrderNCHW() override;
  bool RunOnDeviceWithOrderNHWC() override;
 
 private:
  // We store a numThreasds per-worker  tiles of Y, and numThreads per-worker threadBuffer for the
  // gemm output, laid out in that order.
  Tensor threadBuffer_{CPU};
 
  // Input: X, W, b
  // Output: Y
  INPUT_TAGS(INPUT, FILTER, BIAS);
};
 
} // namespace caffe2
 
#endif // C10_MOBILE
 
#endif // CAFFE2_OPERATORS_CONV_TRANSPOSE_MOBILE_OP_H_