1006 lines
64 KiB
Diff
1006 lines
64 KiB
Diff
From 19a1074e87577f9b511f382569ac081871e84147 Mon Sep 17 00:00:00 2001
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From: zhenyu--zhao_admin <zhaozhenyu17@huawei.com>
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Date: Sat, 7 Dec 2024 16:05:59 +0800
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Subject: [PATCH] [BUGFIX] Fix build error on risv_64.
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---
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gcc/Makefile.in | 10 +-
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gcc/ai-optimizer.cc | 395 ++++++++++++++++++++++++++++++++
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gcc/ai4c-infer.cc | 46 ++--
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gcc/ai4c-infer.h | 26 ++-
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gcc/c-family/c-common.h | 2 +
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gcc/c-family/c-opts.cc | 21 ++
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gcc/config/aarch64/aarch64-c.cc | 16 ++
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gcc/config/aarch64/aarch64.cc | 15 +-
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gcc/gcc.cc | 39 +---
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gcc/gcc.h | 1 -
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gcc/optimizer.fdata | 1 +
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gcc/opts-common.cc | 74 +-----
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gcc/opts-global.cc | 5 +-
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13 files changed, 521 insertions(+), 130 deletions(-)
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create mode 100644 gcc/ai-optimizer.cc
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create mode 100644 gcc/optimizer.fdata
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diff --git a/gcc/Makefile.in b/gcc/Makefile.in
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index 5610854e6..65f683bbd 100644
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--- a/gcc/Makefile.in
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+++ b/gcc/Makefile.in
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@@ -1735,13 +1735,13 @@ OBJS-libcommon = diagnostic-spec.o diagnostic.o diagnostic-color.o \
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pretty-print.o intl.o \
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sbitmap.o \
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vec.o input.o hash-table.o ggc-none.o memory-block.o \
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- ai4c-infer.o selftest.o selftest-diagnostic.o sort.o
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+ ai4c-infer.o ai-optimizer.o selftest.o selftest-diagnostic.o sort.o
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# Objects in libcommon-target.a, used by drivers and by the core
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# compiler and containing target-dependent code.
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OBJS-libcommon-target = $(common_out_object_file) prefix.o \
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opts.o opts-common.o options.o vec.o hooks.o common/common-targhooks.o \
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- hash-table.o file-find.o spellcheck.o ai4c-infer.o selftest.o opt-suggestions.o
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+ hash-table.o file-find.o spellcheck.o ai4c-infer.o ai-optimizer.o selftest.o opt-suggestions.o
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# This lists all host objects for the front ends.
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ALL_HOST_FRONTEND_OBJS = $(foreach v,$(CONFIG_LANGUAGES),$($(v)_OBJS))
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@@ -2257,7 +2257,7 @@ gcc-nm.cc: gcc-ar.cc
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cp $^ $@
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COLLECT2_OBJS = collect2.o collect2-aix.o vec.o ggc-none.o \
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- collect-utils.o file-find.o hash-table.o ai4c-infer.o selftest.o
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+ collect-utils.o file-find.o hash-table.o ai4c-infer.o ai-optimizer.o selftest.o
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COLLECT2_LIBS = @COLLECT2_LIBS@
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collect2$(exeext): $(COLLECT2_OBJS) $(LIBDEPS)
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# Don't try modifying collect2 (aka ld) in place--it might be linking this.
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@@ -3721,8 +3721,8 @@ install-plugin: installdirs lang.install-plugin s-header-vars install-gengtype
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# Install the compiler executables built during cross compilation.
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install-common: native lang.install-common installdirs
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- rm -f $(DESTDIR)$(libexecdir)/onnx.fdata
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- cp $(srcdir)/onnx.fdata $(DESTDIR)$(libexecsubdir)/onnx.fdata
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+ rm -f $(DESTDIR)$(libexecdir)/gcc/*.fdata
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+ cp $(srcdir)/*.fdata $(DESTDIR)$(libexecdir)/gcc/
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for file in $(COMPILERS); do \
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if [ -f $$file ] ; then \
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rm -f $(DESTDIR)$(libexecsubdir)/$$file; \
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diff --git a/gcc/ai-optimizer.cc b/gcc/ai-optimizer.cc
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new file mode 100644
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index 000000000..c3d99dd85
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--- /dev/null
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+++ b/gcc/ai-optimizer.cc
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@@ -0,0 +1,395 @@
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+/* Lightweight AI Inference Framework.
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+ Copyright (C) 2024-2024 Free Software Foundation, Inc.
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+This file is part of GCC.
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+GCC is free software; you can redistribute it and/or modify it under
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+the terms of the GNU General Public License as published by the Free
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+Software Foundation; either version 3, or (at your option) any later
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+version.
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+GCC is distributed in the hope that it will be useful, but WITHOUT ANY
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+WARRANTY; without even the implied warranty of MERCHANTABILITY or
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+FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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+for more details.
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+
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+You should have received a copy of the GNU General Public License
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+along with GCC; see the file COPYING3. If not see
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+<http://www.gnu.org/licenses/>. */
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+
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+#include <unistd.h>
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+#include <math.h>
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+#include <cstring>
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+#include <cstdio>
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+#include <cstdlib>
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+#include <stdio.h>
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+#include <stdint.h>
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+#include <stdlib.h>
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+#include <cassert>
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+#include "config.h"
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+#include "system.h"
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+#include "ai4c-infer.h"
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+
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+#define M_OPTION_SIZE 11
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+#define M_MODE_SIZE 6
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+#define NATIVE_TUNE_SIZE 128
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+#define CATS_STRINGS_ROW 34
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+#define CATS_STRINGS_COL 65
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+#define CATS_STRINGS1_ROW 10
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+#define CATS_STRINGS1_COL 65
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+#define OFFSET_ROW 6
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+#define SCALE_ROW 6
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+#define UNITY_ROW 1
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+#define COEFFICIENT_ROW 356
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+#define COEFFICIENT_COL 10
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+#define COEFFICIENT1_ROW 10
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+#define COEFFICIENT1_COL 1
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+#define INTERCEPTS_ROW 10
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+#define INTERCEPTS1_ROW 1
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+
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+/* Intermediate computation results from the ONNX model. */
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+static char cats_strings[CATS_STRINGS_ROW][CATS_STRINGS_COL];
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+static char cats_strings1[CATS_STRINGS1_ROW][CATS_STRINGS1_COL];
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+static float offset[OFFSET_ROW];
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+static float scale[SCALE_ROW];
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+static float unity[UNITY_ROW];
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+static float coefficient[COEFFICIENT_ROW][COEFFICIENT_COL];
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+static float coefficient1[COEFFICIENT1_ROW][COEFFICIENT1_COL];
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+static float intercepts[INTERCEPTS_ROW];
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+static float intercepts1[INTERCEPTS1_ROW];
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+
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+/* Return an integer that represents the comparison result of the
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+ two strings. */
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+
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+static int
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+compare_strings (const void *a, const void *b)
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+{
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+ const char *str_a = *(const char **)a;
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+ const char *str_b = *(const char **)b;
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+
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+ int len = strlen (str_a) < strlen (str_b) ? strlen (str_a) : strlen (str_b);
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+ for (int i = 0; i < len; i++)
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+ {
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+ char c1 = str_a[i];
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+ char c2 = str_b[i];
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+ if (ISUPPER (c1) && !ISUPPER (c2))
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+ return 0;
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+ else if (!ISUPPER (c1) && ISUPPER (c2))
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+ return 1;
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+ else if (c1 != c2)
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+ return c1 < c2;
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+ }
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+ return strlen (str_a) > strlen (str_b);
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+}
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+
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+/* Return the substring before the first underscore ('_') in the input
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+ string. */
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+
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+static void
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+truncate_prefix (const char *str, char *result)
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+{
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+ const char *underscore_pos = strchr (str, '_');
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+ if (underscore_pos == NULL)
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+ {
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+ strcpy (result, str);
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+ return;
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+ }
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+
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+ size_t len = underscore_pos - str;
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+ strncpy (result, str, len + 1);
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+ result[len + 1] = '\0';
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+}
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+
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+
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+static void
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+preprocess (int argc1, const char **argv1, const char *mops,
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+ int argc2, int64_t *argv2, char (*in_options)[1024],
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+ int64_t *in_modes)
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+{
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+ strcpy (in_options[0], mops);
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+
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+ const char *output_option = "-o";
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+ const char *marco_prefix = "-D";
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+ const char *needle = "--param";
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+ const char *flag_prefix = "-";
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+ const char *default_option = "-default-option";
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+ const int default_int_val = 0;
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+ int m_size = 0;
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+ for (int i = 0; i < argc1; i++)
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+ {
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+ if (strncmp (argv1[i], marco_prefix, 2) == 0)
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+ m_size ++;
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+ }
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+
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+ char *m_options[m_size];
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+ char output_file[1024];
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+ int m_index = 0;
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+ for (int i = 0; i < argc1; i++)
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+ {
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+ if (strncmp (argv1[i], marco_prefix, 2) == 0)
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+ {
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+ m_options[m_index] = (char *)argv1[i];
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+ m_index ++;
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+ }
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+ if (strcmp (argv1[i], output_option) == 0)
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+ truncate_prefix (argv1[i + 1], output_file);
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+ }
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+
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+ strcpy (in_options[1], output_file);
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+ int in_options_size = 2;
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+ qsort (m_options, m_size, sizeof (m_options[0]), compare_strings);
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+ for (int i = 0; i < m_size && in_options_size < M_OPTION_SIZE; i++)
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+ {
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+ strcpy (in_options[in_options_size], m_options[i]);
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+ in_options_size ++;
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+ }
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+
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+ for (int i = 0; i < argc1 && in_options_size < M_OPTION_SIZE; i++)
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+ {
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+ if (strncmp (argv1[i], marco_prefix, 2) != 0
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+ && strcmp (argv1[i], output_option) != 0
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+ && strncmp (argv1[i], needle, 7) != 0
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+ && strncmp (argv1[i], flag_prefix, 1) == 0)
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+ {
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+ strcpy (in_options[in_options_size], argv1[i]);
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+ in_options_size ++;
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+ }
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+ }
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+
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+ while (in_options_size < M_OPTION_SIZE)
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+ {
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+ strcpy (in_options[in_options_size], default_option);
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+ in_options_size ++;
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+ }
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+
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+ /* Use sha256 to encrypt the input. */
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+ char hash[65];
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+ char input[64];
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+ for (int i = 0; i < M_OPTION_SIZE; i++)
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+ {
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+ execute_sha256 (in_options[i], hash, sizeof (hash));
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+ strcpy (in_options[i], hash);
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+ }
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+
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+ for (int i = 0; i < argc2 && i < M_MODE_SIZE; i++)
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+ {
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+ if (i < argc2)
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+ in_modes[i] = argv2[i];
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+ else
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+ in_modes[i] = default_int_val;
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+ }
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+}
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+
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+/* To read model parameter information from optimizer.fdata and store it into
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+ the appropriate arrays. */
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+
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+static void
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+fill_node (const char *file_name)
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+{
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+ FILE *file = fopen (file_name, "rb");
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+
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+ if (!file)
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+ {
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+ perror ("Can not open file.");
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+ return;
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+ }
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+
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+ /* Read cats_strings from optimizer.fdata. */
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+ char hex_string[2];
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+ for (int i = 0; i < CATS_STRINGS_ROW; i++)
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+ {
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+ for (int j = 0; j < CATS_STRINGS_COL - 1; j++)
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+ {
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+ if (fscanf (file, "%2s", hex_string) != 1)
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+ {
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+ perror ("Can not read cats_strings from optimizer.fdata.");
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+ return;
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+ }
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+ cats_strings[i][j] = (unsigned char) strtol(hex_string, NULL, 16);
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+ }
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+ cats_strings[i][CATS_STRINGS_COL - 1] = '\0';
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+ }
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+
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+ /* Read cats_strings1 from optimizer.fdata. */
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+ for (int i = 0; i < CATS_STRINGS1_ROW; i++)
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+ {
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+ for (int j = 0; j < CATS_STRINGS1_COL - 1; j++)
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+ {
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+ if (fscanf (file, "%2s", hex_string) != 1)
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+ {
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+ perror ("Can not read cats_strings1 from optimizer.fdata.");
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+ return;
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+ }
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+ cats_strings1[i][j] = (unsigned char) strtol(hex_string, NULL, 16);
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+ }
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+ cats_strings1[i][CATS_STRINGS1_COL - 1] = '\0';
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+ }
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+
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+ /* Read offset from optimizer.fdata. */
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+ for (int i = 0; i < OFFSET_ROW; i++)
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+ {
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+ float result = read_float_from_file (file);
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+ offset[i] = result;
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+ }
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+
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+
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+ /* Read scale from optimizer.fdata. */
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+ for (int i = 0; i < SCALE_ROW; i++)
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+ {
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+ float result = read_float_from_file (file);
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+ scale[i] = result;
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+ }
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+
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+ /* Read unity from optimizer.fdata. */
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+ for (int i = 0; i < UNITY_ROW; i++)
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+ {
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+ float result = read_float_from_file (file);
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+ unity[i] = result;
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+ }
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+
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+ /* Read coefficient from optimizer.fdata. */
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+ for (int i = 0; i < COEFFICIENT_ROW; i++)
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+ for (int j = 0; j < COEFFICIENT_COL; j++)
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+ {
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+ float result = read_float_from_file (file);
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+ coefficient[i][j] = result;
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+ }
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+
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+ /* Read coefficient1 from optimizer.fdata. */
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+ for (int i = 0; i < COEFFICIENT1_ROW; i++)
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+ for (int j = 0; j < COEFFICIENT1_COL; j++)
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+ {
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+ float result = read_float_from_file (file);
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+ coefficient1[i][j] = result;
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+ }
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+
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+ /* Read intercepts from optimizer.fdata. */
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+ for (int i = 0; i < INTERCEPTS_ROW; i++)
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+ {
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+ float result = read_float_from_file (file);
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+ intercepts[i] = result;
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+ }
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+
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+ /* Read intercepts1 from optimizer.fdata. */
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+ for (int i = 0; i < INTERCEPTS1_ROW; i++)
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+ {
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+ float result = read_float_from_file (file);
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+ intercepts1[i] = result;
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+ }
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+
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+ fclose (file);
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+ return;
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+}
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+
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+/* The process of model inference. */
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+
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+static int
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+graph_infer (int argc1, const char **argv1, const char *mops,
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+ int argc2, int64_t *argv2)
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+{
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+ char *gcc_exec_prefix = getenv ("ONNX_FDATA_PATH");
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+ if (gcc_exec_prefix == NULL)
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+ return 0;
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+ char native_file[512];
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+
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+ if (gcc_exec_prefix)
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+ {
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+ const char *onnx_fdata = "optimizer.fdata";
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+ strncpy (native_file, gcc_exec_prefix, sizeof (native_file) - 1);
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+ native_file[sizeof (native_file) - 1] = '\0';
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+ char *last_slash = strrchr (native_file, '/');
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+ if (last_slash)
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+ strcpy (last_slash + 1, onnx_fdata);
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+ }
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+
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+ if (access (native_file, F_OK) == 0)
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+ fill_node (native_file);
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+ else
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+ return 0;
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+
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+ static int64_t in_modes[M_MODE_SIZE];
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+ static char in_options[M_OPTION_SIZE][1024];
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+
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+ preprocess (argc1, argv1, mops, argc2, argv2, in_options, in_modes);
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+
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+ /* concat_result and encoder_out are intermediate computation results from
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+ the ONNX model. concat_result is a 1 × 18 matrix, and encoder_out is a
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+ 1 × 12 matrix. */
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+
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+ const int concat_out_size = 350;
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+ float concat_result[concat_out_size];
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+ const int encoder_out_size = 34;
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+ const int encoder_last_size = 10;
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+ int concat_size = 0;
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+ const int size = encoder_out_size;
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+
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+ for (int i = 1; i < M_OPTION_SIZE; i++)
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+ {
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+ float encoder_out[size];
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+ one_hot_encoder (in_options[i], cats_strings, encoder_out, size);
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+ line_concat (encoder_out, size, concat_result, concat_size);
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+ concat_size += size;
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+ }
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+
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+ float encoder_out2[encoder_last_size];
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+ one_hot_encoder (in_options[0], cats_strings1, encoder_out2,
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+ encoder_last_size);
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+ line_concat (encoder_out2, encoder_last_size, concat_result, concat_size);
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+ concat_size += encoder_last_size;
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+
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+ float variable[M_MODE_SIZE];
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+ imputer (in_modes, M_MODE_SIZE, variable);
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+ float variable1[M_MODE_SIZE];
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+ scaler (variable, offset, scale, M_MODE_SIZE, variable1);
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+
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+ float transformed_column[concat_out_size + M_MODE_SIZE];
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+ /* line_concat is used to stro*/
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+ line_concat (variable1, M_MODE_SIZE, transformed_column, 0);
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+ line_concat (concat_result, concat_out_size, transformed_column, 6);
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+
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+ /* This requires performing matrix multiplication between a 1 × 356 matrix
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+ and an 356 × 10 matrix */
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+
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+ const int m = 1, k = 356, n = 10;
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+ float mul_result[n];
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+ matmul (transformed_column, coefficient[0], m, k, n, mul_result);
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+
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+ float add_result[n];
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+ add (mul_result, intercepts, n, add_result);
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+
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+ float next_activations[n];
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+ relu (add_result, n, next_activations);
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+
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+ /* This requires performing matrix multiplication between a 1 × 10 matrix
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+ and an 10 × 1 matrix */
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+
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+ const int m2 = 1, k2 = 10, n2 = 1;
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+ float mul_result1[n2];
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+ matmul (next_activations, coefficient1[0], m2, k2, n2, mul_result1);
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+
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+ float add_result1[n2];
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+ add (mul_result1, intercepts1, n2, add_result1);
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+
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+ float out_activations_result[n2];
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+ sigmoid (add_result1, n2, out_activations_result);
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+
|
||
+ float negative_class_proba[n2];
|
||
+ sub (unity, out_activations_result, n2, negative_class_proba);
|
||
+ const int prob_size = n2 + n2;
|
||
+ float probabilities[prob_size];
|
||
+ line_concat (negative_class_proba, n2, probabilities, 0);
|
||
+ line_concat (out_activations_result, n2, probabilities, n2);
|
||
+
|
||
+ int argmax_output = argmax (probabilities, prob_size);
|
||
+ return argmax_output;
|
||
+}
|
||
+
|
||
+int
|
||
+get_optimize_decision_from_optimizer (int argc, const char **argv,
|
||
+ const char *mops, int argc2,
|
||
+ int64_t *argv2)
|
||
+{
|
||
+ int model_pred = graph_infer (argc, argv, mops, argc2, argv2);
|
||
+ if (model_pred == 1)
|
||
+ {
|
||
+ putenv ("AI_INFER_LEVEL=1");
|
||
+ }
|
||
+ return model_pred;
|
||
+}
|
||
diff --git a/gcc/ai4c-infer.cc b/gcc/ai4c-infer.cc
|
||
index 99f7a6b45..42922e1ca 100644
|
||
--- a/gcc/ai4c-infer.cc
|
||
+++ b/gcc/ai4c-infer.cc
|
||
@@ -61,6 +61,12 @@ static int64_t optimize_result;
|
||
void
|
||
prepare_native_tune_str (const char *info)
|
||
{
|
||
+ if (info == NULL)
|
||
+ {
|
||
+ strcpy (native_tune, "=native+");
|
||
+ return;
|
||
+ }
|
||
+
|
||
gcc_assert (strlen (info) < NATIVE_TUNE_SIZE);
|
||
if (info)
|
||
strcpy (native_tune, info);
|
||
@@ -83,7 +89,7 @@ set_cache_info (int prefetches, int l1_cache_size,
|
||
|
||
/* Read float from onnx.fdata. */
|
||
|
||
-float static
|
||
+float
|
||
read_float_from_file (FILE* file)
|
||
{
|
||
char hex_float[8];
|
||
@@ -196,7 +202,7 @@ fill_node (const char *file_name)
|
||
return;
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
matmul (const float *lhs, const float *rhs, int m, int k, int n, float *out)
|
||
{
|
||
for (int i = 0; i < m; i++)
|
||
@@ -212,7 +218,7 @@ matmul (const float *lhs, const float *rhs, int m, int k, int n, float *out)
|
||
}
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
add (const float *lhs, const float *rhs, int length, float *out)
|
||
{
|
||
for (int i = 0; i < length; i++)
|
||
@@ -221,7 +227,7 @@ add (const float *lhs, const float *rhs, int length, float *out)
|
||
}
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
sub (const float *lhs, const float *rhs, int length, float *out)
|
||
{
|
||
for (int i = 0; i < length; i++)
|
||
@@ -230,7 +236,7 @@ sub (const float *lhs, const float *rhs, int length, float *out)
|
||
}
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
sigmoid (const float *in, int length, float *out)
|
||
{
|
||
for (int i = 0; i < length; i++)
|
||
@@ -239,7 +245,7 @@ sigmoid (const float *in, int length, float *out)
|
||
}
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
relu (const float *data, int length, float *out)
|
||
{
|
||
for (int i = 0; i < length; i++)
|
||
@@ -255,14 +261,14 @@ relu (const float *data, int length, float *out)
|
||
}
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
line_concat (const float *in, int in_size, float *out, int out_size)
|
||
{
|
||
for (int i = 0; i < in_size; i++)
|
||
out[out_size + i] = in[i];
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
one_hot_encoder (const char *in, const char (*cats)[65], float *out,
|
||
int out_size)
|
||
{
|
||
@@ -279,14 +285,14 @@ one_hot_encoder (const char *in, const char (*cats)[65], float *out,
|
||
}
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
imputer (const int64_t *in, int size, float *out)
|
||
{
|
||
for (int i = 0; i < size; i++)
|
||
out[i] = in[i] * 1.0f;
|
||
}
|
||
|
||
-static void
|
||
+void
|
||
scaler (const float *in, const float *offset, const float *scale, int size,
|
||
float *out)
|
||
{
|
||
@@ -294,7 +300,7 @@ scaler (const float *in, const float *offset, const float *scale, int size,
|
||
out[i] = (in[i] - offset[i]) * scale[i];
|
||
}
|
||
|
||
-static int
|
||
+int
|
||
argmax (const float *in, int in_size)
|
||
{
|
||
int out_idx = 0;
|
||
@@ -327,7 +333,20 @@ preprocess (int argc, int64_t *argv, int64_t *in_modes)
|
||
static int
|
||
graph_infer (int argc, const char *argv, int argc2, int64_t *argv2)
|
||
{
|
||
- const char *file_name = getenv ("GCC_AI4C_ONNX_FDATA");
|
||
+ char *gcc_exec_prefix = getenv ("ONNX_FDATA_PATH");
|
||
+ if (gcc_exec_prefix == NULL)
|
||
+ return 0;
|
||
+ char file_name[512];
|
||
+
|
||
+ if (gcc_exec_prefix)
|
||
+ {
|
||
+ const char *onnx_fdata = "onnx.fdata";
|
||
+ strncpy (file_name, gcc_exec_prefix, sizeof (file_name) - 1);
|
||
+ file_name[sizeof (file_name) - 1] = '\0';
|
||
+ char *last_slash = strrchr (file_name, '/');
|
||
+ if (last_slash)
|
||
+ strcpy (last_slash + 1, onnx_fdata);
|
||
+ }
|
||
|
||
if (access (file_name, F_OK) == 0)
|
||
{
|
||
@@ -401,7 +420,8 @@ graph_infer (int argc, const char *argv, int argc2, int64_t *argv2)
|
||
return argmax_output;
|
||
}
|
||
|
||
-void execute_sha256 (const char *input, char *output, size_t output_size)
|
||
+void
|
||
+execute_sha256 (const char *input, char *output, size_t output_size)
|
||
{
|
||
char command[256];
|
||
snprintf (command, sizeof (command), "echo -n \"%s\" | sha256sum", input);
|
||
diff --git a/gcc/ai4c-infer.h b/gcc/ai4c-infer.h
|
||
index 7fb75900b..fa5156ab1 100644
|
||
--- a/gcc/ai4c-infer.h
|
||
+++ b/gcc/ai4c-infer.h
|
||
@@ -21,9 +21,25 @@
|
||
#ifndef AI4C_INFER_H
|
||
#define AI4C_INFER_H
|
||
|
||
+extern void matmul (const float *, const float *, int, int, int, float *);
|
||
+extern void add (const float *, const float *, int, float *);
|
||
+extern void sub (const float *, const float *, int, float *);
|
||
+extern void sigmoid (const float *, int, float *);
|
||
+extern void relu (const float *, int, float *);
|
||
+extern void line_concat (const float *, int, float *, int);
|
||
+extern void one_hot_encoder (const char *, const char (*)[65], float *, int);
|
||
+extern void imputer (const int64_t *, int, float *);
|
||
+extern void scaler (const float *, const float *, const float *, int, float *);
|
||
+extern int argmax (const float *, int);
|
||
+
|
||
+extern void
|
||
+execute_sha256 (const char *, char *, size_t);
|
||
+extern float read_float_from_file (FILE*);
|
||
+
|
||
extern int get_optimize_decision_from_ai4c ();
|
||
-extern void set_cache_info (int prefetches, int l1_cache_size,
|
||
- int l1_cache_line_size, int l2_cache_size,
|
||
- int prefetch_latency, int prefetch_distance_factor);
|
||
-extern void prepare_native_tune_str (const char *info);
|
||
-#endif /* AI4C_INFER_H */
|
||
\ No newline at end of file
|
||
+extern int get_optimize_decision_from_optimizer (int, const char **,
|
||
+ const char *, int ,
|
||
+ int64_t *);
|
||
+extern void set_cache_info (int, int, int, int, int, int);
|
||
+extern void prepare_native_tune_str (const char *);
|
||
+#endif /* AI4C_INFER_H */
|
||
diff --git a/gcc/c-family/c-common.h b/gcc/c-family/c-common.h
|
||
index d1503c5a7..47c502e13 100644
|
||
--- a/gcc/c-family/c-common.h
|
||
+++ b/gcc/c-family/c-common.h
|
||
@@ -940,6 +940,8 @@ extern void set_compound_literal_name (tree decl);
|
||
|
||
extern tree build_va_arg (location_t, tree, tree);
|
||
|
||
+extern void deferred_opts_add_macro_front (const char *);
|
||
+
|
||
extern const unsigned int c_family_lang_mask;
|
||
extern unsigned int c_common_option_lang_mask (void);
|
||
extern void c_common_diagnostics_set_defaults (diagnostic_context *);
|
||
diff --git a/gcc/c-family/c-opts.cc b/gcc/c-family/c-opts.cc
|
||
index 744b54dc3..4cde773bf 100644
|
||
--- a/gcc/c-family/c-opts.cc
|
||
+++ b/gcc/c-family/c-opts.cc
|
||
@@ -94,6 +94,9 @@ static bool std_cxx_inc = true;
|
||
/* If the quote chain has been split by -I-. */
|
||
static bool quote_chain_split;
|
||
|
||
+/* Size of deferred_opts. */
|
||
+static size_t deferred_opts_size;
|
||
+
|
||
/* Number of deferred options. */
|
||
static size_t deferred_count;
|
||
|
||
@@ -145,6 +148,23 @@ static struct deferred_opt
|
||
extern const unsigned int
|
||
c_family_lang_mask = (CL_C | CL_CXX | CL_ObjC | CL_ObjCXX);
|
||
|
||
+/* Add macro to the front of deferred_opts. */
|
||
+void
|
||
+deferred_opts_add_macro_front (const char *arg)
|
||
+{
|
||
+ /* Allocate a new vec and move elements back. */
|
||
+ auto *new_opts = XNEWVEC (struct deferred_opt, deferred_opts_size + 1);
|
||
+ memcpy (new_opts + 1, deferred_opts,
|
||
+ sizeof (struct deferred_opt) * deferred_opts_size);
|
||
+ XDELETEVEC (deferred_opts);
|
||
+ deferred_opts = new_opts;
|
||
+ deferred_opts_size++;
|
||
+ deferred_count++;
|
||
+
|
||
+ deferred_opts[0].code = OPT_D;
|
||
+ deferred_opts[0].arg = arg;
|
||
+}
|
||
+
|
||
/* Defer option CODE with argument ARG. */
|
||
static void
|
||
defer_opt (enum opt_code code, const char *arg)
|
||
@@ -251,6 +271,7 @@ c_common_init_options (unsigned int decoded_options_count,
|
||
cpp_opts->warn_dollars = 0;
|
||
|
||
deferred_opts = XNEWVEC (struct deferred_opt, decoded_options_count);
|
||
+ deferred_opts_size = decoded_options_count;
|
||
|
||
if (c_language == clk_c)
|
||
{
|
||
diff --git a/gcc/config/aarch64/aarch64-c.cc b/gcc/config/aarch64/aarch64-c.cc
|
||
index 2d2ac42c4..dd739288c 100644
|
||
--- a/gcc/config/aarch64/aarch64-c.cc
|
||
+++ b/gcc/config/aarch64/aarch64-c.cc
|
||
@@ -47,6 +47,21 @@ aarch64_def_or_undef (bool def_p, const char *macro, cpp_reader *pfile)
|
||
cpp_undef (pfile, macro);
|
||
}
|
||
|
||
+/* Reset the optimize option.
|
||
+ After checking the model result, this function can
|
||
+ reset the more appropriate options. */
|
||
+static void
|
||
+reset_machine_option (struct gcc_options *opts)
|
||
+{
|
||
+ const char *ai_infer_level = getenv ("AI_INFER_LEVEL");
|
||
+ if (ai_infer_level)
|
||
+ {
|
||
+ auto *cpp_opts = cpp_get_options (parse_in);
|
||
+ cpp_opts->macro_use_commandline = 1;
|
||
+ deferred_opts_add_macro_front ("OBSTACK_CHUNK_SIZE=65536");
|
||
+ }
|
||
+}
|
||
+
|
||
/* Define the macros that we always expect to have on AArch64. */
|
||
|
||
static void
|
||
@@ -119,6 +134,7 @@ aarch64_define_unconditional_macros (cpp_reader *pfile)
|
||
cpp_opts->warn_variadic_macros = old_warn_variadic_macros;
|
||
cpp_opts->cpp_warn_c90_c99_compat = old_cpp_warn_c90_c99_compat;
|
||
}
|
||
+ reset_machine_option(&global_options);
|
||
}
|
||
|
||
/* Undefine/redefine macros that depend on the current backend state and may
|
||
diff --git a/gcc/config/aarch64/aarch64.cc b/gcc/config/aarch64/aarch64.cc
|
||
index 829e0da8f..debb15522 100644
|
||
--- a/gcc/config/aarch64/aarch64.cc
|
||
+++ b/gcc/config/aarch64/aarch64.cc
|
||
@@ -18771,6 +18771,7 @@ override_C_optimize_options (struct gcc_options *opts)
|
||
opts->x_semi_relayout_level = 14;
|
||
opts->x_flag_ipa_prefetch = 1;
|
||
opts->x_flag_ipa_ic = 1;
|
||
+ opts->x_flag_cmlt_arith = 1;
|
||
}
|
||
|
||
/* Check whether in CPP language or LTO with only CPP language. */
|
||
@@ -18872,23 +18873,28 @@ reset_machine_option (struct gcc_options *opts)
|
||
const char *ai_infer_level = getenv ("AI_INFER_LEVEL");
|
||
if (ai_infer_level)
|
||
{
|
||
+ char *collect_gcc = getenv("COLLECT_GCC");
|
||
+ const char* gcc_exec = basename(ASTRDUP(collect_gcc));
|
||
+ if (gcc_exec == NULL)
|
||
+ {
|
||
+ return;
|
||
+ }
|
||
override_optimize_options_1 (opts);
|
||
- if (lang_c_p ())
|
||
+ if (strstr(gcc_exec, "gcc") != NULL)
|
||
{
|
||
override_C_optimize_options (opts);
|
||
}
|
||
- else if (lang_cpp_p ())
|
||
+ else if (strstr(gcc_exec, "g++") != NULL)
|
||
{
|
||
override_CPP_optimize_options (opts);
|
||
}
|
||
- else if (lang_GNU_Fortran ())
|
||
+ else if (strstr(gcc_exec, "gfortran") != NULL)
|
||
{
|
||
override_Fortran_optimize_options (opts);
|
||
}
|
||
}
|
||
}
|
||
|
||
-
|
||
/* STMT_COST is the cost calculated for STMT_INFO, which has cost kind KIND
|
||
and which when vectorized would operate on vector type VECTYPE. Add the
|
||
cost of any embedded operations. */
|
||
@@ -20348,7 +20354,6 @@ aarch64_override_options_internal (struct gcc_options *opts)
|
||
&& aarch64_tune_params.prefetch->default_opt_level >= 0
|
||
&& opts->x_optimize >= aarch64_tune_params.prefetch->default_opt_level)
|
||
opts->x_flag_prefetch_loop_arrays = 1;
|
||
-
|
||
reset_machine_option (opts);
|
||
aarch64_override_options_after_change_1 (opts);
|
||
}
|
||
diff --git a/gcc/gcc.cc b/gcc/gcc.cc
|
||
index 90f6dfe85..179d507f2 100644
|
||
--- a/gcc/gcc.cc
|
||
+++ b/gcc/gcc.cc
|
||
@@ -5799,10 +5799,13 @@ do_self_spec (const char *spec)
|
||
do_spec_2 (spec, NULL);
|
||
do_spec_1 (" ", 0, NULL);
|
||
|
||
- const char* tune_native = eval_spec_function ("local_cpu_detect", "cpu", "");
|
||
+ const char* tune_native = NULL;
|
||
+#if defined (__x86_64__) || defined (__aarch64__)
|
||
+ tune_native = eval_spec_function ("local_cpu_detect", "cpu", "");
|
||
+#endif
|
||
if (tune_native == NULL)
|
||
{
|
||
- tune_native = "native";
|
||
+ tune_native = "=native+";
|
||
}
|
||
setenv ("GCC_AI4C_TUNE_INFO", tune_native, 1);
|
||
|
||
@@ -8129,7 +8132,6 @@ driver::main (int argc, char **argv)
|
||
putenv_COLLECT_AS_OPTIONS (assembler_options);
|
||
putenv_COLLECT_GCC (argv[0]);
|
||
maybe_putenv_COLLECT_LTO_WRAPPER ();
|
||
- putenv_ONNX_FDATA ();
|
||
maybe_putenv_OFFLOAD_TARGETS ();
|
||
handle_unrecognized_options ();
|
||
|
||
@@ -8187,6 +8189,9 @@ driver::expand_at_files (int *argc, char ***argv) const
|
||
void
|
||
driver::decode_argv (int argc, const char **argv)
|
||
{
|
||
+ const char* libexec_path = standard_libexec_prefix;
|
||
+ if (libexec_path)
|
||
+ setenv ("ONNX_FDATA_PATH", libexec_path, 1);
|
||
init_opts_obstack ();
|
||
init_options_struct (&global_options, &global_options_set);
|
||
|
||
@@ -8560,34 +8565,6 @@ driver::putenv_COLLECT_GCC (const char *argv0) const
|
||
xputenv (XOBFINISH (&collect_obstack, char *));
|
||
}
|
||
|
||
-/* Set up to remember the pathname of the onnx.fdata. */
|
||
-
|
||
-void
|
||
-driver::putenv_ONNX_FDATA () const
|
||
-{
|
||
- char *lto_wrapper_file;
|
||
- lto_wrapper_file = find_a_program ("lto-wrapper");
|
||
-
|
||
- if (lto_wrapper_file)
|
||
- {
|
||
- lto_wrapper_file = convert_white_space (lto_wrapper_file);
|
||
- char native_file[512];
|
||
- const char *onnx_fdata = "onnx.fdata";
|
||
- strncpy (native_file, lto_wrapper_file, sizeof (native_file) - 1);
|
||
- native_file[sizeof (native_file) - 1] = '\0';
|
||
- char *last_slash = strrchr (native_file, '/');
|
||
- if (last_slash)
|
||
- strcpy (last_slash + 1, onnx_fdata);
|
||
- obstack_init (&collect_obstack);
|
||
- obstack_grow (&collect_obstack, "GCC_AI4C_ONNX_FDATA=",
|
||
- sizeof ("GCC_AI4C_ONNX_FDATA=") - 1);
|
||
- obstack_grow (&collect_obstack, native_file,
|
||
- strlen ( native_file) + 1);
|
||
- xputenv (XOBFINISH (&collect_obstack, char *));
|
||
- }
|
||
-
|
||
-}
|
||
-
|
||
/* Set up to remember the pathname of the lto wrapper. */
|
||
|
||
void
|
||
diff --git a/gcc/gcc.h b/gcc/gcc.h
|
||
index ff3ae8bed..63231ddb3 100644
|
||
--- a/gcc/gcc.h
|
||
+++ b/gcc/gcc.h
|
||
@@ -44,7 +44,6 @@ class driver
|
||
void set_up_specs () const;
|
||
void putenv_COLLECT_GCC (const char *argv0) const;
|
||
void maybe_putenv_COLLECT_LTO_WRAPPER () const;
|
||
- void putenv_ONNX_FDATA () const;
|
||
void maybe_putenv_OFFLOAD_TARGETS () const;
|
||
void handle_unrecognized_options ();
|
||
int maybe_print_and_exit () const;
|
||
diff --git a/gcc/optimizer.fdata b/gcc/optimizer.fdata
|
||
new file mode 100644
|
||
index 000000000..ae0e584be
|
||
--- /dev/null
|
||
+++ b/gcc/optimizer.fdata
|
||
@@ -0,0 +1 @@
|
||
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
|
||
\ No newline at end of file
|
||
diff --git a/gcc/opts-common.cc b/gcc/opts-common.cc
|
||
index 176041bfe..35db76b84 100644
|
||
--- a/gcc/opts-common.cc
|
||
+++ b/gcc/opts-common.cc
|
||
@@ -27,6 +27,7 @@ along with GCC; see the file COPYING3. If not see
|
||
#include "diagnostic.h"
|
||
#include "spellcheck.h"
|
||
#include "opts-jobserver.h"
|
||
+#include "ai4c-infer.h"
|
||
|
||
static void prune_options (struct cl_decoded_option **, unsigned int *,
|
||
unsigned int);
|
||
@@ -992,71 +993,6 @@ opts_concat (const char *first, ...)
|
||
return newstr;
|
||
}
|
||
|
||
-typedef int64_t (*run_ai_model_func)(int, const char **,
|
||
- const char *, int, int64_t *);
|
||
-#define PTR_UNION_TYPE(TOTYPE) union { void *_q; TOTYPE _nq; }
|
||
-#define PTR_UNION_AS_VOID_PTR(NAME) (NAME._q)
|
||
-#define PTR_UNION_AS_CAST_PTR(NAME) (NAME._nq)
|
||
-
|
||
-static int64_t
|
||
-ai_infer_optimization (int argc, const char **argv,
|
||
- const char *mcpu_option,
|
||
- int argc_hw, int64_t *argv_hw)
|
||
-{
|
||
- /* Load dependent AI-framework libraries. */
|
||
- void *onnxruntime_lib_handle = NULL;
|
||
- const char *onnxruntime_lib_path = "libonnxruntime.so";
|
||
-
|
||
- onnxruntime_lib_handle = dlopen (onnxruntime_lib_path,
|
||
- RTLD_LAZY | RTLD_GLOBAL);
|
||
- if (!onnxruntime_lib_handle)
|
||
- {
|
||
- return -1;
|
||
- }
|
||
-
|
||
- void *ai4c_lib_handle = NULL;
|
||
- const char *ai4c_lib_path = "libONNXRunner.so";
|
||
-
|
||
- ai4c_lib_handle = dlopen (ai4c_lib_path, RTLD_LAZY | RTLD_GLOBAL);
|
||
- if (!ai4c_lib_handle)
|
||
- {
|
||
- return -1;
|
||
- }
|
||
-
|
||
- /* Clear any existing error. */
|
||
- dlerror ();
|
||
-
|
||
- /* Run AI4Compiler model. */
|
||
- if (ai4c_lib_handle == NULL || onnxruntime_lib_handle == NULL)
|
||
- {
|
||
- return -1;
|
||
- }
|
||
-
|
||
- run_ai_model_func run_ai_model;
|
||
- PTR_UNION_TYPE (run_ai_model_func) run_ai_model_func_union;
|
||
- PTR_UNION_AS_VOID_PTR (run_ai_model_func_union)
|
||
- = dlsym (ai4c_lib_handle, "runONNXModelOptimizer");
|
||
- run_ai_model = PTR_UNION_AS_CAST_PTR (run_ai_model_func_union);
|
||
- if (!run_ai_model)
|
||
- {
|
||
- dlclose (ai4c_lib_handle);
|
||
- dlclose (onnxruntime_lib_handle);
|
||
- return -1;
|
||
- }
|
||
- int64_t model_pred = (*run_ai_model) (argc, argv,
|
||
- mcpu_option, argc_hw, argv_hw);
|
||
-
|
||
- if (ai4c_lib_handle)
|
||
- dlclose (ai4c_lib_handle);
|
||
-
|
||
- if (onnxruntime_lib_handle)
|
||
- dlclose (onnxruntime_lib_handle);
|
||
-
|
||
- if (model_pred == 1)
|
||
- setenv ("AI_INFER_LEVEL", "1", 1);
|
||
- return model_pred;
|
||
-}
|
||
-
|
||
static int
|
||
handle_lto_option (unsigned int lang_mask,
|
||
unsigned int num_decoded_options,
|
||
@@ -1132,12 +1068,12 @@ handle_machine_option (unsigned int lang_mask,
|
||
global_options.x_param_l2_cache_size,
|
||
global_options.x_param_prefetch_latency,
|
||
global_options.x_param_ipa_prefetch_distance_factor};
|
||
- int64_t output_pred = ai_infer_optimization (
|
||
+ int64_t output_pred = get_optimize_decision_from_optimizer (
|
||
argc, argv, "hip09", argc_hw, argv_hw);
|
||
+ if (output_pred == 1)
|
||
+ return output_pred;
|
||
if (output_pred != 1)
|
||
- {
|
||
- return ret;
|
||
- }
|
||
+ return ret;
|
||
|
||
return handle_lto_option (lang_mask, num_decoded_options,
|
||
argc, argv, opt_array);
|
||
diff --git a/gcc/opts-global.cc b/gcc/opts-global.cc
|
||
index e684bc5e3..843ace666 100644
|
||
--- a/gcc/opts-global.cc
|
||
+++ b/gcc/opts-global.cc
|
||
@@ -312,7 +312,10 @@ decode_options (struct gcc_options *opts, struct gcc_options *opts_set,
|
||
global_options.x_param_prefetch_latency,
|
||
global_options.x_param_ipa_prefetch_distance_factor);
|
||
const char *tune_native = getenv ("GCC_AI4C_TUNE_INFO");
|
||
- prepare_native_tune_str (tune_native);
|
||
+ if (tune_native != nullptr)
|
||
+ {
|
||
+ prepare_native_tune_str (tune_native);
|
||
+ }
|
||
|
||
struct cl_option_handlers handlers;
|
||
|
||
--
|
||
2.33.0
|
||
|