Squashed 'third_party/ceres/' content from commit e51e9b4

Change-Id: I763587619d57e594d3fa158dc3a7fe0b89a1743b
git-subtree-dir: third_party/ceres
git-subtree-split: e51e9b46f6ca88ab8b2266d0e362771db6d98067
diff --git a/internal/ceres/generate_template_specializations.py b/internal/ceres/generate_template_specializations.py
new file mode 100644
index 0000000..75c1464
--- /dev/null
+++ b/internal/ceres/generate_template_specializations.py
@@ -0,0 +1,245 @@
+# Ceres Solver - A fast non-linear least squares minimizer
+# Copyright 2015 Google Inc. All rights reserved.
+# http://ceres-solver.org/
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+# * Redistributions of source code must retain the above copyright notice,
+#   this list of conditions and the following disclaimer.
+# * Redistributions in binary form must reproduce the above copyright notice,
+#   this list of conditions and the following disclaimer in the documentation
+#   and/or other materials provided with the distribution.
+# * Neither the name of Google Inc. nor the names of its contributors may be
+#   used to endorse or promote products derived from this software without
+#   specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+# POSSIBILITY OF SUCH DAMAGE.
+#
+# Author: sameeragarwal@google.com (Sameer Agarwal)
+#
+# Script for explicitly generating template specialization of the
+# SchurEliminator class. It is a rather large class
+# and the number of explicit instantiations is also large. Explicitly
+# generating these instantiations in separate .cc files breaks the
+# compilation into separate compilation unit rather than one large cc
+# file which takes 2+GB of RAM to compile.
+#
+# This script creates three sets of files.
+#
+# 1. schur_eliminator_x_x_x.cc and partitioned_matrix_view_x_x_x.cc
+# where, the x indicates the template parameters and
+#
+# 2. schur_eliminator.cc & partitioned_matrix_view.cc
+#
+# that contains a factory function for instantiating these classes
+# based on runtime parameters.
+#
+# 3. schur_templates.cc
+#
+# that contains a function which can be queried to determine what
+# template specializations are available.
+#
+# The following list of tuples, specializations indicates the set of
+# specializations that is generated.
+SPECIALIZATIONS = [(2, 2, 2),
+                   (2, 2, 3),
+                   (2, 2, 4),
+                   (2, 2, "Eigen::Dynamic"),
+                   (2, 3, 3),
+                   (2, 3, 4),
+                   (2, 3, 6),
+                   (2, 3, 9),
+                   (2, 3, "Eigen::Dynamic"),
+                   (2, 4, 3),
+                   (2, 4, 4),
+                   (2, 4, 6),
+                   (2, 4, 8),
+                   (2, 4, 9),
+                   (2, 4, "Eigen::Dynamic"),
+                   (2, "Eigen::Dynamic", "Eigen::Dynamic"),
+                   (4, 4, 2),
+                   (4, 4, 3),
+                   (4, 4, 4),
+                   (4, 4, "Eigen::Dynamic")]
+
+import schur_eliminator_template
+import partitioned_matrix_view_template
+import os
+import glob
+
+def SuffixForSize(size):
+  if size == "Eigen::Dynamic":
+    return "d"
+  return str(size)
+
+def SpecializationFilename(prefix, row_block_size, e_block_size, f_block_size):
+  return "_".join([prefix] + map(SuffixForSize, (row_block_size,
+                                                 e_block_size,
+                                                 f_block_size)))
+
+def GenerateFactoryConditional(row_block_size, e_block_size, f_block_size):
+  conditionals = []
+  if (row_block_size != "Eigen::Dynamic"):
+    conditionals.append("(options.row_block_size == %s)" % row_block_size)
+  if (e_block_size != "Eigen::Dynamic"):
+    conditionals.append("(options.e_block_size == %s)" % e_block_size)
+  if (f_block_size != "Eigen::Dynamic"):
+    conditionals.append("(options.f_block_size == %s)" % f_block_size)
+  if (len(conditionals) == 0):
+    return "%s"
+
+  if (len(conditionals) == 1):
+    return " if " + conditionals[0] + "{\n  %s\n }\n"
+
+  return " if (" + " &&\n     ".join(conditionals) + ") {\n  %s\n }\n"
+
+def Specialize(name, data):
+  """
+  Generate specialization code and the conditionals to instantiate it.
+  """
+
+  # Specialization files
+  for row_block_size, e_block_size, f_block_size in SPECIALIZATIONS:
+      output = SpecializationFilename("generated/" + name,
+                                      row_block_size,
+                                      e_block_size,
+                                      f_block_size) + ".cc"
+
+      with open(output, "w") as f:
+        f.write(data["HEADER"])
+        f.write(data["SPECIALIZATION_FILE"] %
+                  (row_block_size, e_block_size, f_block_size))
+
+  # Generate the _d_d_d specialization.
+  output = SpecializationFilename("generated/" + name,
+                                   "Eigen::Dynamic",
+                                   "Eigen::Dynamic",
+                                   "Eigen::Dynamic") + ".cc"
+  with open(output, "w") as f:
+    f.write(data["HEADER"])
+    f.write(data["DYNAMIC_FILE"] %
+              ("Eigen::Dynamic", "Eigen::Dynamic", "Eigen::Dynamic"))
+
+  # Factory
+  with open(name + ".cc", "w") as f:
+    f.write(data["HEADER"])
+    f.write(data["FACTORY_FILE_HEADER"])
+    for row_block_size, e_block_size, f_block_size in SPECIALIZATIONS:
+        factory_conditional = GenerateFactoryConditional(
+            row_block_size, e_block_size, f_block_size)
+        factory = data["FACTORY"] % (row_block_size, e_block_size, f_block_size)
+        f.write(factory_conditional % factory);
+    f.write(data["FACTORY_FOOTER"])
+
+QUERY_HEADER = """// Ceres Solver - A fast non-linear least squares minimizer
+// Copyright 2017 Google Inc. All rights reserved.
+// http://ceres-solver.org/
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// * Redistributions of source code must retain the above copyright notice,
+//   this list of conditions and the following disclaimer.
+// * Redistributions in binary form must reproduce the above copyright notice,
+//   this list of conditions and the following disclaimer in the documentation
+//   and/or other materials provided with the distribution.
+// * Neither the name of Google Inc. nor the names of its contributors may be
+//   used to endorse or promote products derived from this software without
+//   specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+// ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+// LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+// CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+// SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+// INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+// CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+// ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+// POSSIBILITY OF SUCH DAMAGE.
+//
+// Author: sameeragarwal@google.com (Sameer Agarwal)
+//
+// What template specializations are available.
+//
+// ========================================
+// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
+// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
+// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
+// THIS FILE IS AUTOGENERATED. DO NOT EDIT.
+//=========================================
+//
+// This file is generated using generate_template_specializations.py.
+"""
+
+QUERY_FILE_HEADER = """
+#include "ceres/internal/eigen.h"
+#include "ceres/schur_templates.h"
+
+namespace ceres {
+namespace internal {
+
+void GetBestSchurTemplateSpecialization(int* row_block_size,
+                                        int* e_block_size,
+                                        int* f_block_size) {
+  LinearSolver::Options options;
+  options.row_block_size = *row_block_size;
+  options.e_block_size = *e_block_size;
+  options.f_block_size = *f_block_size;
+  *row_block_size = Eigen::Dynamic;
+  *e_block_size = Eigen::Dynamic;
+  *f_block_size = Eigen::Dynamic;
+#ifndef CERES_RESTRICT_SCHUR_SPECIALIZATION
+"""
+
+QUERY_FOOTER = """
+#endif
+  return;
+}
+
+}  // namespace internal
+}  // namespace ceres
+"""
+
+QUERY_ACTION = """ *row_block_size = %s;
+   *e_block_size = %s;
+   *f_block_size = %s;
+  return;"""
+
+def GenerateQueryFile():
+  """
+  Generate file that allows querying for available template specializations.
+  """
+
+  with open("schur_templates.cc", "w") as f:
+    f.write(QUERY_HEADER)
+    f.write(QUERY_FILE_HEADER)
+    for row_block_size, e_block_size, f_block_size in SPECIALIZATIONS:
+      factory_conditional = GenerateFactoryConditional(
+        row_block_size, e_block_size, f_block_size)
+      action = QUERY_ACTION % (row_block_size, e_block_size, f_block_size)
+      f.write(factory_conditional % action)
+    f.write(QUERY_FOOTER)
+
+
+if __name__ == "__main__":
+  for f in glob.glob("generated/*"):
+    os.remove(f)
+
+  Specialize("schur_eliminator",
+               schur_eliminator_template.__dict__)
+  Specialize("partitioned_matrix_view",
+               partitioned_matrix_view_template.__dict__)
+  GenerateQueryFile()