tesseract/arch/Makefile.am

AM_CPPFLAGS += -I$(top_srcdir)/ccstruct -I$(top_srcdir)/ccutil -I$(top_srcdir)/viewer
AUTOMAKE_OPTIONS = subdir-objects
SUBDIRS =
AM_CXXFLAGS =

if VISIBILITY
AM_CXXFLAGS += -fvisibility=hidden -fvisibility-inlines-hidden
AM_CPPFLAGS += -DTESS_EXPORTS
endif

include_HEADERS = dotproductavx.h dotproductsse.h intsimdmatrix.h intsimdmatrixavx2.h intsimdmatrixsse.h simddetect.h

noinst_HEADERS =

noinst_LTLIBRARIES = libtesseract_avx.la libtesseract_avx2.la libtesseract_sse.la
noinst_LTLIBRARIES += libtesseract_arch.la

if AVX_OPT
libtesseract_avx_la_CXXFLAGS = -mavx
endif
if AVX2_OPT
libtesseract_avx2_la_CXXFLAGS = -mavx2
endif
if SSE41_OPT
libtesseract_sse_la_CXXFLAGS = -msse4.1
endif

libtesseract_arch_la_SOURCES = intsimdmatrix.cpp simddetect.cpp

libtesseract_avx_la_SOURCES = dotproductavx.cpp

libtesseract_avx2_la_SOURCES = intsimdmatrixavx2.cpp

libtesseract_sse_la_SOURCES = dotproductsse.cpp intsimdmatrixsse.cpp
Remove macro USE_STD_NAMESPACE (#1360) The related code in training/util.h now uses the GOOGLE_TESSERACT macro to enable Google specific code to disable heap checking. Signed-off-by: Stefan Weil <sw@weilnetz.de> 2018-03-04 21:43:28 +08:00			`AM_CPPFLAGS += -I$(top_srcdir)/ccstruct -I$(top_srcdir)/ccutil -I$(top_srcdir)/viewer`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00			`AUTOMAKE_OPTIONS = subdir-objects`
			`SUBDIRS =`
			`AM_CXXFLAGS =`

			`if VISIBILITY`
			`AM_CXXFLAGS += -fvisibility=hidden -fvisibility-inlines-hidden`
			`AM_CPPFLAGS += -DTESS_EXPORTS`
			`endif`

Added intsimdmatrix as a generic integer matrixdotvector function with AVX2 and SSE specializations 2017-09-08 22:06:19 +08:00			`include_HEADERS = dotproductavx.h dotproductsse.h intsimdmatrix.h intsimdmatrixavx2.h intsimdmatrixsse.h simddetect.h`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00
lstm: Move class SIMDDetect to new source file and improve code Modify also the code to use a singleton. This simplifies the code as no locking is needed. It also slightly improves the performance because no check whether the architecture was tested is needed. Signed-off-by: Stefan Weil <sw@weilnetz.de> 2016-12-27 20:25:08 +08:00			`noinst_HEADERS =`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00
Added intsimdmatrix as a generic integer matrixdotvector function with AVX2 and SSE specializations 2017-09-08 22:06:19 +08:00			`noinst_LTLIBRARIES = libtesseract_avx.la libtesseract_avx2.la libtesseract_sse.la`
lstm: Move class SIMDDetect to new source file and improve code Modify also the code to use a singleton. This simplifies the code as no locking is needed. It also slightly improves the performance because no check whether the architecture was tested is needed. Signed-off-by: Stefan Weil <sw@weilnetz.de> 2016-12-27 20:25:08 +08:00			`noinst_LTLIBRARIES += libtesseract_arch.la`
autotools: test if compiler support -mavx and -msse4.1 2016-12-23 17:20:08 +08:00
			`if AVX_OPT`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00			`libtesseract_avx_la_CXXFLAGS = -mavx`
autotools: test if compiler support -mavx and -msse4.1 2016-12-23 17:20:08 +08:00			`endif`
Added intsimdmatrix as a generic integer matrixdotvector function with AVX2 and SSE specializations 2017-09-08 22:06:19 +08:00			`if AVX2_OPT`
			`libtesseract_avx2_la_CXXFLAGS = -mavx2`
			`endif`
autotools: test if compiler support -mavx and -msse4.1 2016-12-23 17:20:08 +08:00			`if SSE41_OPT`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00			`libtesseract_sse_la_CXXFLAGS = -msse4.1`
autotools: test if compiler support -mavx and -msse4.1 2016-12-23 17:20:08 +08:00			`endif`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00
Added intsimdmatrix as a generic integer matrixdotvector function with AVX2 and SSE specializations 2017-09-08 22:06:19 +08:00			`libtesseract_arch_la_SOURCES = intsimdmatrix.cpp simddetect.cpp`
lstm: Move class SIMDDetect to new source file and improve code Modify also the code to use a singleton. This simplifies the code as no locking is needed. It also slightly improves the performance because no check whether the architecture was tested is needed. Signed-off-by: Stefan Weil <sw@weilnetz.de> 2016-12-27 20:25:08 +08:00
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00			`libtesseract_avx_la_SOURCES = dotproductavx.cpp`

Added intsimdmatrix as a generic integer matrixdotvector function with AVX2 and SSE specializations 2017-09-08 22:06:19 +08:00			`libtesseract_avx2_la_SOURCES = intsimdmatrixavx2.cpp`

			`libtesseract_sse_la_SOURCES = dotproductsse.cpp intsimdmatrixsse.cpp`
Added new LSTM-based neural network line recognizer 2016-11-08 07:38:07 +08:00