batch_matmul_dnnlowp_op.h

#pragma once

#include "caffe2/operators/batch_matmul_op.h"
#include "caffe2/quantization/server/dnnlowp_op.h"
#include "fbgemm/Fbgemm.h"

namespace caffe2 {

template <typename T>
class BatchMatMulDNNLowPOp final
    : public DNNLowPOp<T, BatchMatMulOp<CPUContext>> {
 public:
  BatchMatMulDNNLowPOp(const OperatorDef& operator_def, Workspace* ws);
  bool RunOnDevice() override;

  USE_OPERATOR_FUNCTIONS(CPUContext);
  USE_DNNLOWP_OPERATOR_BASE_FUNCTIONS(T, BatchMatMulOp<CPUContext>);

 private:
  bool trans_a_;
  bool trans_b_;
  bool broadcast_{false};
  bool is_B_constant_{false};

  std::vector<std::int8_t> B_quantized_;
  std::vector<std::unique_ptr<fbgemm::PackBMatrix<std::int8_t>>> Bq_packed_;
  std::vector<std::uint8_t> A_pack_buf_;
  std::vector<std::int32_t> row_offsets_, column_offsets_;

  std::vector<dnnlowp::TensorQuantizationParams> B_qparams_;
  std::vector<dnnlowp::RequantizationParams> requantization_params_;

  std::vector<std::int32_t> Y_int32_;
  bool first_invocation_{true};
}; // BatchMatMulDNNLowPOp

} // namespace caffe2