Revert D23898398: [Mask R-CNN]Add Int8 AABB Generate proposals Op

Test Plan: revert-hammer

Differential Revision:
D23898398 (pytorch@714c702)

Original commit changeset: fb5f6d6ed8a5

fbshipit-source-id: 05284ff4db6c05fff3f4a6bb80f665e87c0bf085

caffe2/utils/eigen_utils.h

@@ -76,7 +76,6 @@ using EArrXb = EArrXt<bool>;
 using EArrXI32  = EArrXt<int32_t>;
 using EArrXU16  = EArrXt<uint16_t>;
 using EArrXU8  = EArrXt<uint8_t>;
-using EArr3U8 = Eigen::Array<uint8_t, 3, 1>;
 
 // 2-d array, column major
 template <typename T>
@@ -96,8 +95,6 @@ using ERArrXXI32t = ERArrXXt<int32_t>;
 using ERArrXXU16t = ERArrXXt<uint16_t>;
 using ERArrXXU8t = ERArrXXt<uint8_t>;
 using ERArrXXi = ERArrXXt<int>;
-using ERArrXXi64t = ERArrXXt<int64_t>;
-using ERArrXXi32t = ERArrXXt<int32_t>;
 
 // 1-d vector
 template <typename T>
@@ -106,27 +103,21 @@ using EVecXd = Eigen::VectorXd;
 using EVecXf = Eigen::VectorXf;
 
 // 1-d row vector
-template <typename T>
-using ERVecXt = Eigen::RowVector<T, Eigen::Dynamic>;
 using ERVecXd = Eigen::RowVectorXd;
 using ERVecXf = Eigen::RowVectorXf;
-using ERVecXU8 = Eigen::RowVectorX<uint8_t>;
 
 // 2-d matrix, column major
 template <typename T>
 using EMatXt = Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>;
 using EMatXd = Eigen::MatrixXd;
 using EMatXf = Eigen::MatrixXf;
-using EMatXU8 = EMatXt<uint8_t>;
-using EMatXU16 = EMatXt<uint16_t>;
 
 // 2-d matrix, row major
 template <typename T>
 using ERMatXt =
     Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>;
 using ERMatXd = ERMatXt<double>;
 using ERMatXf = ERMatXt<float>;
-using ERMatXU8 = ERMatXt<uint8_t>;
 
 namespace utils {