114 lines
4.2 KiB
C++
114 lines
4.2 KiB
C++
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// Copyright (C) 2008-2015 National ICT Australia (NICTA)
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//
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// This Source Code Form is subject to the terms of the Mozilla Public
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// License, v. 2.0. If a copy of the MPL was not distributed with this
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// file, You can obtain one at http://mozilla.org/MPL/2.0/.
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// -------------------------------------------------------------------
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//
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// Written by Conrad Sanderson - http://conradsanderson.id.au
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//! \addtogroup Op
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//! @{
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//! Class for storing data required for delayed unary operations,
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//! such as the operand (e.g. the matrix to which the operation is to be applied) and the unary operator (e.g. inverse).
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//! The operand is stored as a reference (which can be optimised away),
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//! while the operator is "stored" through the template definition (op_type).
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//! The operands can be 'Mat', 'Row', 'Col', 'Op', and 'Glue'.
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//! Note that as 'Glue' can be one of the operands, more than one matrix can be stored.
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//!
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//! For example, we could have:
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//! Op< Glue< Mat, Mat, glue_times >, op_htrans >
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template<typename T1, typename op_type>
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class Op : public Base<typename T1::elem_type, Op<T1, op_type> >
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{
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public:
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typedef typename T1::elem_type elem_type;
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typedef typename get_pod_type<elem_type>::result pod_type;
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inline explicit Op(const T1& in_m);
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inline Op(const T1& in_m, const elem_type in_aux);
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inline Op(const T1& in_m, const elem_type in_aux, const uword in_aux_uword_a, const uword in_aux_uword_b);
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inline Op(const T1& in_m, const uword in_aux_uword_a, const uword in_aux_uword_b);
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inline Op(const T1& in_m, const uword in_aux_uword_a, const uword in_aux_uword_b, const uword in_aux_uword_c, const char junk);
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inline ~Op();
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arma_aligned const T1& m; //!< storage of reference to the operand (eg. a matrix)
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arma_aligned elem_type aux; //!< storage of auxiliary data, user defined format
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arma_aligned uword aux_uword_a; //!< storage of auxiliary data, uword format
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arma_aligned uword aux_uword_b; //!< storage of auxiliary data, uword format
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arma_aligned uword aux_uword_c; //!< storage of auxiliary data, uword format
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static const bool is_row = \
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(
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// operations which result in a row vector if the input is a row vector
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T1::is_row &&
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(
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is_same_type<op_type, op_sort_default>::yes
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|| is_same_type<op_type, op_shuffle_default>::yes
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|| is_same_type<op_type, op_cumsum_default>::yes
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|| is_same_type<op_type, op_cumprod_default>::yes
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|| is_same_type<op_type, op_flipud>::yes
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|| is_same_type<op_type, op_fliplr>::yes
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|| is_same_type<op_type, op_unique>::yes
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|| is_same_type<op_type, op_diff_default>::yes
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|| is_same_type<op_type, op_normalise_vec>::yes
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)
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)
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(
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// operations which result in a row vector if the input is a column vector
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T1::is_col &&
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(
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is_same_type<op_type, op_strans>::yes
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|| is_same_type<op_type, op_htrans>::yes
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|| is_same_type<op_type, op_htrans2>::yes
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)
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)
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;
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static const bool is_col = \
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(
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// operations which always result in a column vector
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is_same_type<op_type, op_diagvec>::yes
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|| is_same_type<op_type, op_vectorise_col>::yes
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|| is_same_type<op_type, op_nonzeros>::yes
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)
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(
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// operations which result in a column vector if the input is a column vector
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T1::is_col &&
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(
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is_same_type<op_type, op_sort_default>::yes
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|| is_same_type<op_type, op_shuffle_default>::yes
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|| is_same_type<op_type, op_cumsum_default>::yes
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|| is_same_type<op_type, op_cumprod_default>::yes
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|| is_same_type<op_type, op_flipud>::yes
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|| is_same_type<op_type, op_fliplr>::yes
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|| is_same_type<op_type, op_unique>::yes
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|| is_same_type<op_type, op_diff_default>::yes
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|| is_same_type<op_type, op_normalise_vec>::yes
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)
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)
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(
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// operations which result in a column vector if the input is a row vector
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T1::is_row &&
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(
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is_same_type<op_type, op_strans>::yes
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|| is_same_type<op_type, op_htrans>::yes
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|| is_same_type<op_type, op_htrans2>::yes
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)
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)
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;
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};
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//! @}
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