mirror of
https://github.com/ceres-solver/ceres-solver.git
synced 2026-08-30 00:50:37 +08:00
Sergiu Deitsch
f90833f5fa
Currently, the logic for exporting symbols is rather complicated: when tests are enabled internal symbols are exported in addition to the public symbols. Such logic causes several problems. (1) Test binaries link against a Ceres build that is different from the final release since fewer optimizations are applied if more symbols are exported. (2) Also, some toolchains hide symbols by default breaking the existing logic eventually causing linker errors. Since internal symbols are not intended to be used outside of the project, we can compile them into object files and use exactly the same binary code both for the final build and the tests without relying on conditionals. By default, all symbols are now hidden unless annotated as public. Internal symbols are explicitly marked as not being exported in case users chose not to hide symbols by default. Change-Id: I589dd10be2f6f438508783cf99d141af0120057b
97 lines
3.5 KiB
C++
97 lines
3.5 KiB
C++
// Ceres Solver - A fast non-linear least squares minimizer
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// Copyright 2017 Google Inc. All rights reserved.
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// http://ceres-solver.org/
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//
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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//
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// * Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// * Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// * Neither the name of Google Inc. nor the names of its contributors may be
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// used to endorse or promote products derived from this software without
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// specific prior written permission.
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//
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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// POSSIBILITY OF SUCH DAMAGE.
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//
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// Author: sameeragarwal@google.com (Sameer Agarwal)
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#ifndef CERES_INTERNAL_FUNCTION_SAMPLE_H_
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#define CERES_INTERNAL_FUNCTION_SAMPLE_H_
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#include <string>
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#include "ceres/internal/disable_warnings.h"
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#include "ceres/internal/eigen.h"
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#include "ceres/internal/export.h"
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namespace ceres {
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namespace internal {
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// FunctionSample is used by the line search routines to store and
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// communicate the value and (optionally) the gradient of the function
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// being minimized.
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//
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// Since line search as the name implies happens along a certain
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// line/direction. FunctionSample contains the information in two
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// ways. Information in the ambient space and information along the
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// direction of search.
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struct CERES_NO_EXPORT FunctionSample {
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FunctionSample();
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FunctionSample(double x, double value);
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FunctionSample(double x, double value, double gradient);
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std::string ToDebugString() const;
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// x is the location of the sample along the search direction.
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double x;
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// Let p be a point and d be the search direction then
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//
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// vector_x = p + x * d;
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Vector vector_x;
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// True if vector_x has been assigned a valid value.
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bool vector_x_is_valid;
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// value = f(vector_x)
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double value;
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// True of the evaluation was successful and value is a finite
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// number.
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bool value_is_valid;
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// vector_gradient = Df(vector_position);
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//
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// D is the derivative operator.
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Vector vector_gradient;
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// True if the vector gradient was evaluated and the evaluation was
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// successful (the value is a finite number).
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bool vector_gradient_is_valid;
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// gradient = d.transpose() * vector_gradient
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//
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// where d is the search direction.
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double gradient;
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// True if the evaluation of the gradient was sucessful and the
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// value is a finite number.
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bool gradient_is_valid;
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};
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} // namespace internal
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} // namespace ceres
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#include "ceres/internal/reenable_warnings.h"
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#endif // CERES_INTERNAL_FUNCTION_SAMPLE_H_
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