preparing deepC for arduino

Author: srohit0

deepC/library.properties

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+name=Arduino_deepC
+version=0.121
+author=Rohit Sharma et. al.
+maintainer=Rohit Sharma <[email protected]>
+sentence=Allows you to run machine learning models locally on arduino boards.
+paragraph=This library runs deepC machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks. With the included examples, you can recognize speech, detect people using a camera, and recognise asl gestures using an accelerometer. The examples work best with the Arduino Nano 33 BLE Sense board, which has a microphone and accelerometer.
+category=Data Processing
+url=https://github.com/ai-techsystems/dnnCompiler
+ldflags=-lm
+includes=deepC.h

deepC/src/Eigen.h

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+/*
+Eigen.h
+Brian R Taylor
+[email protected]
+2017-02-08
+
+Copyright (c) 2017 Bolder Flight Systems
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software 
+and associated documentation files (the "Software"), to deal in the Software without restriction, 
+including without limitation the rights to use, copy, modify, merge, publish, distribute, 
+sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is 
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or 
+substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING 
+BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND 
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, 
+DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+
+// Credits:   @rpavlik for writing the original header for the Eigen313 library, which this
+// was derived from:
+// http://forum.arduino.cc/index.php?PHPSESSID=a86gv50nb3e3ireijfmli63260&topic=144446.msg1089371#msg1089371
+
+// Disable debug asserts.
+#define EIGEN_NO_DEBUG 1
+
+// Hint to number of registers
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS 16
+
+#ifdef A0
+# define NEED_A0_RESTORED A0
+# undef A0
+#endif
+#ifdef A1
+# define NEED_A1_RESTORED A1
+# undef A1
+#endif
+#ifdef B0
+# define NEED_B0_RESTORED B0
+# undef B0
+#endif
+#ifdef B1
+# define NEED_B1_RESTORED B1
+# undef B1
+#endif
+#ifdef round
+# define NEED_round_RESTORED round
+# undef round
+#endif
+
+namespace std {
+	struct nothrow_t;
+}
+
+// Include main EIGEN Core header
+#include <Eigen/Core>
+
+#ifdef NEED_A0_RESTORED
+# define A0 NEED_A0_RESTORED
+# undef NEED_A0_RESTORED
+#endif
+#ifdef NEED_A1_RESTORED
+# define A1 NEED_A1_RESTORED
+# undef NEED_A1_RESTORED
+#endif
+#ifdef NEED_B0_RESTORED
+# define B0 NEED_B0_RESTORED
+# undef NEED_B0_RESTORED
+#endif
+#ifdef NEED_B1_RESTORED
+# define B1 NEED_B1_RESTORED
+# undef NEED_B1_RESTORED
+#endif
+#ifdef NEED_round_RESTORED
+# define round NEED_round_RESTORED
+# undef NEED_round_RESTORED
+#endif

deepC/src/Eigen/CMakeLists.txt

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+include(RegexUtils)
+test_escape_string_as_regex()
+
+file(GLOB Eigen_directory_files "*")
+
+escape_string_as_regex(ESCAPED_CMAKE_CURRENT_SOURCE_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
+
+foreach(f ${Eigen_directory_files})
+  if(NOT f MATCHES "\\.txt" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/[.].+" AND NOT f MATCHES "${ESCAPED_CMAKE_CURRENT_SOURCE_DIR}/src")
+    list(APPEND Eigen_directory_files_to_install ${f})
+  endif()
+endforeach(f ${Eigen_directory_files})
+
+install(FILES
+  ${Eigen_directory_files_to_install}
+  DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen COMPONENT Devel
+  )
+
+install(DIRECTORY src DESTINATION ${INCLUDE_INSTALL_DIR}/Eigen COMPONENT Devel FILES_MATCHING PATTERN "*.h")

deepC/src/Eigen/Cholesky

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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CHOLESKY_MODULE_H
+#define EIGEN_CHOLESKY_MODULE_H
+
+#include "Core"
+#include "Jacobi"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+/** \defgroup Cholesky_Module Cholesky module
+  *
+  *
+  *
+  * This module provides two variants of the Cholesky decomposition for selfadjoint (hermitian) matrices.
+  * Those decompositions are also accessible via the following methods:
+  *  - MatrixBase::llt()
+  *  - MatrixBase::ldlt()
+  *  - SelfAdjointView::llt()
+  *  - SelfAdjointView::ldlt()
+  *
+  * \code
+  * #include <Eigen/Cholesky>
+  * \endcode
+  */
+
+#include "src/Cholesky/LLT.h"
+#include "src/Cholesky/LDLT.h"
+#ifdef EIGEN_USE_LAPACKE
+#ifdef EIGEN_USE_MKL
+#include "mkl_lapacke.h"
+#else
+#include "src/misc/lapacke.h"
+#endif
+#include "src/Cholesky/LLT_LAPACKE.h"
+#endif
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_CHOLESKY_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */

deepC/src/Eigen/CholmodSupport

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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CHOLMODSUPPORT_MODULE_H
+#define EIGEN_CHOLMODSUPPORT_MODULE_H
+
+#include "SparseCore"
+
+#include "src/Core/util/DisableStupidWarnings.h"
+
+extern "C" {
+  #include <cholmod.h>
+}
+
+/** \ingroup Support_modules
+  * \defgroup CholmodSupport_Module CholmodSupport module
+  *
+  * This module provides an interface to the Cholmod library which is part of the <a href="http://www.suitesparse.com">suitesparse</a> package.
+  * It provides the two following main factorization classes:
+  * - class CholmodSupernodalLLT: a supernodal LLT Cholesky factorization.
+  * - class CholmodDecomposiiton: a general L(D)LT Cholesky factorization with automatic or explicit runtime selection of the underlying factorization method (supernodal or simplicial).
+  *
+  * For the sake of completeness, this module also propose the two following classes:
+  * - class CholmodSimplicialLLT
+  * - class CholmodSimplicialLDLT
+  * Note that these classes does not bring any particular advantage compared to the built-in
+  * SimplicialLLT and SimplicialLDLT factorization classes.
+  *
+  * \code
+  * #include <Eigen/CholmodSupport>
+  * \endcode
+  *
+  * In order to use this module, the cholmod headers must be accessible from the include paths, and your binary must be linked to the cholmod library and its dependencies.
+  * The dependencies depend on how cholmod has been compiled.
+  * For a cmake based project, you can use our FindCholmod.cmake module to help you in this task.
+  *
+  */
+
+#include "src/CholmodSupport/CholmodSupport.h"
+
+#include "src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_CHOLMODSUPPORT_MODULE_H
+