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@@ -403,3 +403,9 @@ llava/lib/libquadmath.so filter=lfs diff=lfs merge=lfs -text
 llava/lib/liblzma.so.5 filter=lfs diff=lfs merge=lfs -text
 llava/lib/libncurses.so.6 filter=lfs diff=lfs merge=lfs -text
 llava/lib/libtsan.so.0.0.0 filter=lfs diff=lfs merge=lfs -text
+llava/lib/libncurses.so filter=lfs diff=lfs merge=lfs -text
+llava/lib/libtinfo.so.6 filter=lfs diff=lfs merge=lfs -text
+llava/lib/libbz2.so filter=lfs diff=lfs merge=lfs -text
+llava/lib/libasan.so.6.0.0 filter=lfs diff=lfs merge=lfs -text
+llava/lib/libbz2.so.1.0.8 filter=lfs diff=lfs merge=lfs -text
+llava/lib/libssl.so.3 filter=lfs diff=lfs merge=lfs -text

llava/lib/libasan.so.6.0.0

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llava/lib/libbz2.so

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llava/lib/libbz2.so.1.0.8

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llava/lib/libncurses.so

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llava/lib/libssl.so.3

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llava/lib/libtinfo.so.6

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llava/lib/tcl8.6/msgs/af_za.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset af_ZA DATE_FORMAT "%d %B %Y"
+    ::msgcat::mcset af_ZA TIME_FORMAT_12 "%l:%M:%S %P"
+    ::msgcat::mcset af_ZA DATE_TIME_FORMAT "%d %B %Y %l:%M:%S %P %z"
+}

llava/lib/tcl8.6/msgs/ar_sy.msg

@@ -0,0 +1,39 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset ar_SY DAYS_OF_WEEK_ABBREV [list \
+        "\u0627\u0644\u0623\u062d\u062f"\
+        "\u0627\u0644\u0627\u062b\u0646\u064a\u0646"\
+        "\u0627\u0644\u062b\u0644\u0627\u062b\u0627\u0621"\
+        "\u0627\u0644\u0623\u0631\u0628\u0639\u0627\u0621"\
+        "\u0627\u0644\u062e\u0645\u064a\u0633"\
+        "\u0627\u0644\u062c\u0645\u0639\u0629"\
+        "\u0627\u0644\u0633\u0628\u062a"]
+    ::msgcat::mcset ar_SY MONTHS_ABBREV [list \
+        "\u0643\u0627\u0646\u0648\u0646 \u0627\u0644\u062b\u0627\u0646\u064a"\
+        "\u0634\u0628\u0627\u0637"\
+        "\u0622\u0630\u0627\u0631"\
+        "\u0646\u064a\u0633\u0627\u0646"\
+        "\u0646\u0648\u0627\u0631"\
+        "\u062d\u0632\u064a\u0631\u0627\u0646"\
+        "\u062a\u0645\u0648\u0632"\
+        "\u0622\u0628"\
+        "\u0623\u064a\u0644\u0648\u0644"\
+        "\u062a\u0634\u0631\u064a\u0646 \u0627\u0644\u0623\u0648\u0644"\
+        "\u062a\u0634\u0631\u064a\u0646 \u0627\u0644\u062b\u0627\u0646\u064a"\
+        "\u0643\u0627\u0646\u0648\u0646 \u0627\u0644\u0623\u0648\u0644"\
+        ""]
+    ::msgcat::mcset ar_SY MONTHS_FULL [list \
+        "\u0643\u0627\u0646\u0648\u0646 \u0627\u0644\u062b\u0627\u0646\u064a"\
+        "\u0634\u0628\u0627\u0637"\
+        "\u0622\u0630\u0627\u0631"\
+        "\u0646\u064a\u0633\u0627\u0646"\
+        "\u0646\u0648\u0627\u0631\u0627\u0646"\
+        "\u062d\u0632\u064a\u0631"\
+        "\u062a\u0645\u0648\u0632"\
+        "\u0622\u0628"\
+        "\u0623\u064a\u0644\u0648\u0644"\
+        "\u062a\u0634\u0631\u064a\u0646 \u0627\u0644\u0623\u0648\u0644"\
+        "\u062a\u0634\u0631\u064a\u0646 \u0627\u0644\u062b\u0627\u0646\u064a"\
+        "\u0643\u0627\u0646\u0648\u0646 \u0627\u0644\u0623\u0648\u0644"\
+        ""]
+}

llava/lib/tcl8.6/msgs/en_nz.msg

@@ -0,0 +1,7 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset en_NZ DATE_FORMAT "%e/%m/%Y"
+    ::msgcat::mcset en_NZ TIME_FORMAT "%H:%M:%S"
+    ::msgcat::mcset en_NZ TIME_FORMAT_12 "%I:%M:%S %P %z"
+    ::msgcat::mcset en_NZ DATE_TIME_FORMAT "%e/%m/%Y %H:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/eo.msg

@@ -0,0 +1,54 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset eo DAYS_OF_WEEK_ABBREV [list \
+        "di"\
+        "lu"\
+        "ma"\
+        "me"\
+        "\u0135a"\
+        "ve"\
+        "sa"]
+    ::msgcat::mcset eo DAYS_OF_WEEK_FULL [list \
+        "diman\u0109o"\
+        "lundo"\
+        "mardo"\
+        "merkredo"\
+        "\u0135a\u016ddo"\
+        "vendredo"\
+        "sabato"]
+    ::msgcat::mcset eo MONTHS_ABBREV [list \
+        "jan"\
+        "feb"\
+        "mar"\
+        "apr"\
+        "maj"\
+        "jun"\
+        "jul"\
+        "a\u016dg"\
+        "sep"\
+        "okt"\
+        "nov"\
+        "dec"\
+        ""]
+    ::msgcat::mcset eo MONTHS_FULL [list \
+        "januaro"\
+        "februaro"\
+        "marto"\
+        "aprilo"\
+        "majo"\
+        "junio"\
+        "julio"\
+        "a\u016dgusto"\
+        "septembro"\
+        "oktobro"\
+        "novembro"\
+        "decembro"\
+        ""]
+    ::msgcat::mcset eo BCE "aK"
+    ::msgcat::mcset eo CE "pK"
+    ::msgcat::mcset eo AM "atm"
+    ::msgcat::mcset eo PM "ptm"
+    ::msgcat::mcset eo DATE_FORMAT "%Y-%b-%d"
+    ::msgcat::mcset eo TIME_FORMAT "%H:%M:%S"
+    ::msgcat::mcset eo DATE_TIME_FORMAT "%Y-%b-%d %H:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/es.msg

@@ -0,0 +1,52 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset es DAYS_OF_WEEK_ABBREV [list \
+        "dom"\
+        "lun"\
+        "mar"\
+        "mi\u00e9"\
+        "jue"\
+        "vie"\
+        "s\u00e1b"]
+    ::msgcat::mcset es DAYS_OF_WEEK_FULL [list \
+        "domingo"\
+        "lunes"\
+        "martes"\
+        "mi\u00e9rcoles"\
+        "jueves"\
+        "viernes"\
+        "s\u00e1bado"]
+    ::msgcat::mcset es MONTHS_ABBREV [list \
+        "ene"\
+        "feb"\
+        "mar"\
+        "abr"\
+        "may"\
+        "jun"\
+        "jul"\
+        "ago"\
+        "sep"\
+        "oct"\
+        "nov"\
+        "dic"\
+        ""]
+    ::msgcat::mcset es MONTHS_FULL [list \
+        "enero"\
+        "febrero"\
+        "marzo"\
+        "abril"\
+        "mayo"\
+        "junio"\
+        "julio"\
+        "agosto"\
+        "septiembre"\
+        "octubre"\
+        "noviembre"\
+        "diciembre"\
+        ""]
+    ::msgcat::mcset es BCE "a.C."
+    ::msgcat::mcset es CE "d.C."
+    ::msgcat::mcset es DATE_FORMAT "%e de %B de %Y"
+    ::msgcat::mcset es TIME_FORMAT "%k:%M:%S"
+    ::msgcat::mcset es DATE_TIME_FORMAT "%e de %B de %Y %k:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/es_gt.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset es_GT DATE_FORMAT "%e/%m/%Y"
+    ::msgcat::mcset es_GT TIME_FORMAT_12 "%I:%M:%S %P"
+    ::msgcat::mcset es_GT DATE_TIME_FORMAT "%e/%m/%Y %I:%M:%S %P %z"
+}

llava/lib/tcl8.6/msgs/es_hn.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset es_HN DATE_FORMAT "%m-%d-%Y"
+    ::msgcat::mcset es_HN TIME_FORMAT_12 "%I:%M:%S %P"
+    ::msgcat::mcset es_HN DATE_TIME_FORMAT "%m-%d-%Y %I:%M:%S %P %z"
+}

llava/lib/tcl8.6/msgs/es_ni.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset es_NI DATE_FORMAT "%m-%d-%Y"
+    ::msgcat::mcset es_NI TIME_FORMAT_12 "%I:%M:%S %P"
+    ::msgcat::mcset es_NI DATE_TIME_FORMAT "%m-%d-%Y %I:%M:%S %P %z"
+}

llava/lib/tcl8.6/msgs/es_pr.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset es_PR DATE_FORMAT "%m-%d-%Y"
+    ::msgcat::mcset es_PR TIME_FORMAT_12 "%I:%M:%S %P"
+    ::msgcat::mcset es_PR DATE_TIME_FORMAT "%m-%d-%Y %I:%M:%S %P %z"
+}

llava/lib/tcl8.6/msgs/gl.msg

@@ -0,0 +1,47 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset gl DAYS_OF_WEEK_ABBREV [list \
+        "Dom"\
+        "Lun"\
+        "Mar"\
+        "M\u00e9r"\
+        "Xov"\
+        "Ven"\
+        "S\u00e1b"]
+    ::msgcat::mcset gl DAYS_OF_WEEK_FULL [list \
+        "Domingo"\
+        "Luns"\
+        "Martes"\
+        "M\u00e9rcores"\
+        "Xoves"\
+        "Venres"\
+        "S\u00e1bado"]
+    ::msgcat::mcset gl MONTHS_ABBREV [list \
+        "Xan"\
+        "Feb"\
+        "Mar"\
+        "Abr"\
+        "Mai"\
+        "Xu\u00f1"\
+        "Xul"\
+        "Ago"\
+        "Set"\
+        "Out"\
+        "Nov"\
+        "Dec"\
+        ""]
+    ::msgcat::mcset gl MONTHS_FULL [list \
+        "Xaneiro"\
+        "Febreiro"\
+        "Marzo"\
+        "Abril"\
+        "Maio"\
+        "Xu\u00f1o"\
+        "Xullo"\
+        "Agosto"\
+        "Setembro"\
+        "Outubro"\
+        "Novembro"\
+        "Decembro"\
+        ""]
+}

llava/lib/tcl8.6/msgs/kok_in.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset kok_IN DATE_FORMAT "%d %M %Y"
+    ::msgcat::mcset kok_IN TIME_FORMAT_12 "%I:%M:%S %P"
+    ::msgcat::mcset kok_IN DATE_TIME_FORMAT "%d %M %Y %I:%M:%S %P %z"
+}

llava/lib/tcl8.6/msgs/mr.msg

@@ -0,0 +1,39 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset mr DAYS_OF_WEEK_FULL [list \
+        "\u0930\u0935\u093f\u0935\u093e\u0930"\
+        "\u0938\u094b\u092e\u0935\u093e\u0930"\
+        "\u092e\u0902\u0917\u0933\u0935\u093e\u0930"\
+        "\u092e\u0902\u0917\u0933\u0935\u093e\u0930"\
+        "\u0917\u0941\u0930\u0941\u0935\u093e\u0930"\
+        "\u0936\u0941\u0915\u094d\u0930\u0935\u093e\u0930"\
+        "\u0936\u0928\u093f\u0935\u093e\u0930"]
+    ::msgcat::mcset mr MONTHS_ABBREV [list \
+        "\u091c\u093e\u0928\u0947\u0935\u093e\u0930\u0940"\
+        "\u092b\u0947\u092c\u0943\u0935\u093e\u0930\u0940"\
+        "\u092e\u093e\u0930\u094d\u091a"\
+        "\u090f\u092a\u094d\u0930\u093f\u0932"\
+        "\u092e\u0947"\
+        "\u091c\u0942\u0928"\
+        "\u091c\u0941\u0932\u0948"\
+        "\u0913\u0917\u0938\u094d\u091f"\
+        "\u0938\u0947\u092a\u094d\u091f\u0947\u0902\u092c\u0930"\
+        "\u0913\u0915\u094d\u091f\u094b\u092c\u0930"\
+        "\u0928\u094b\u0935\u094d\u0939\u0947\u0902\u092c\u0930"\
+        "\u0921\u093f\u0938\u0947\u0902\u092c\u0930"]
+    ::msgcat::mcset mr MONTHS_FULL [list \
+        "\u091c\u093e\u0928\u0947\u0935\u093e\u0930\u0940"\
+        "\u092b\u0947\u092c\u0943\u0935\u093e\u0930\u0940"\
+        "\u092e\u093e\u0930\u094d\u091a"\
+        "\u090f\u092a\u094d\u0930\u093f\u0932"\
+        "\u092e\u0947"\
+        "\u091c\u0942\u0928"\
+        "\u091c\u0941\u0932\u0948"\
+        "\u0913\u0917\u0938\u094d\u091f"\
+        "\u0938\u0947\u092a\u094d\u091f\u0947\u0902\u092c\u0930"\
+        "\u0913\u0915\u094d\u091f\u094b\u092c\u0930"\
+        "\u0928\u094b\u0935\u094d\u0939\u0947\u0902\u092c\u0930"\
+        "\u0921\u093f\u0938\u0947\u0902\u092c\u0930"]
+    ::msgcat::mcset mr AM "BC"
+    ::msgcat::mcset mr PM "AD"
+}

llava/lib/tcl8.6/msgs/nl.msg

@@ -0,0 +1,50 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset nl DAYS_OF_WEEK_ABBREV [list \
+        "zo"\
+        "ma"\
+        "di"\
+        "wo"\
+        "do"\
+        "vr"\
+        "za"]
+    ::msgcat::mcset nl DAYS_OF_WEEK_FULL [list \
+        "zondag"\
+        "maandag"\
+        "dinsdag"\
+        "woensdag"\
+        "donderdag"\
+        "vrijdag"\
+        "zaterdag"]
+    ::msgcat::mcset nl MONTHS_ABBREV [list \
+        "jan"\
+        "feb"\
+        "mrt"\
+        "apr"\
+        "mei"\
+        "jun"\
+        "jul"\
+        "aug"\
+        "sep"\
+        "okt"\
+        "nov"\
+        "dec"\
+        ""]
+    ::msgcat::mcset nl MONTHS_FULL [list \
+        "januari"\
+        "februari"\
+        "maart"\
+        "april"\
+        "mei"\
+        "juni"\
+        "juli"\
+        "augustus"\
+        "september"\
+        "oktober"\
+        "november"\
+        "december"\
+        ""]
+    ::msgcat::mcset nl DATE_FORMAT "%e %B %Y"
+    ::msgcat::mcset nl TIME_FORMAT "%k:%M:%S"
+    ::msgcat::mcset nl DATE_TIME_FORMAT "%e %B %Y %k:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/nl_be.msg

@@ -0,0 +1,7 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset nl_BE DATE_FORMAT "%d-%m-%y"
+    ::msgcat::mcset nl_BE TIME_FORMAT "%T"
+    ::msgcat::mcset nl_BE TIME_FORMAT_12 "%T"
+    ::msgcat::mcset nl_BE DATE_TIME_FORMAT "%a %d %b %Y %T %z"
+}

llava/lib/tcl8.6/msgs/nn.msg

@@ -0,0 +1,52 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset nn DAYS_OF_WEEK_ABBREV [list \
+        "su"\
+        "m\u00e5"\
+        "ty"\
+        "on"\
+        "to"\
+        "fr"\
+        "lau"]
+    ::msgcat::mcset nn DAYS_OF_WEEK_FULL [list \
+        "sundag"\
+        "m\u00e5ndag"\
+        "tysdag"\
+        "onsdag"\
+        "torsdag"\
+        "fredag"\
+        "laurdag"]
+    ::msgcat::mcset nn MONTHS_ABBREV [list \
+        "jan"\
+        "feb"\
+        "mar"\
+        "apr"\
+        "mai"\
+        "jun"\
+        "jul"\
+        "aug"\
+        "sep"\
+        "okt"\
+        "nov"\
+        "des"\
+        ""]
+    ::msgcat::mcset nn MONTHS_FULL [list \
+        "januar"\
+        "februar"\
+        "mars"\
+        "april"\
+        "mai"\
+        "juni"\
+        "juli"\
+        "august"\
+        "september"\
+        "oktober"\
+        "november"\
+        "desember"\
+        ""]
+    ::msgcat::mcset nn BCE "f.Kr."
+    ::msgcat::mcset nn CE "e.Kr."
+    ::msgcat::mcset nn DATE_FORMAT "%e. %B %Y"
+    ::msgcat::mcset nn TIME_FORMAT "%H:%M:%S"
+    ::msgcat::mcset nn DATE_TIME_FORMAT "%e. %B %Y %H:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/pt.msg

@@ -0,0 +1,50 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset pt DAYS_OF_WEEK_ABBREV [list \
+        "Dom"\
+        "Seg"\
+        "Ter"\
+        "Qua"\
+        "Qui"\
+        "Sex"\
+        "S\u00e1b"]
+    ::msgcat::mcset pt DAYS_OF_WEEK_FULL [list \
+        "Domingo"\
+        "Segunda-feira"\
+        "Ter\u00e7a-feira"\
+        "Quarta-feira"\
+        "Quinta-feira"\
+        "Sexta-feira"\
+        "S\u00e1bado"]
+    ::msgcat::mcset pt MONTHS_ABBREV [list \
+        "Jan"\
+        "Fev"\
+        "Mar"\
+        "Abr"\
+        "Mai"\
+        "Jun"\
+        "Jul"\
+        "Ago"\
+        "Set"\
+        "Out"\
+        "Nov"\
+        "Dez"\
+        ""]
+    ::msgcat::mcset pt MONTHS_FULL [list \
+        "Janeiro"\
+        "Fevereiro"\
+        "Mar\u00e7o"\
+        "Abril"\
+        "Maio"\
+        "Junho"\
+        "Julho"\
+        "Agosto"\
+        "Setembro"\
+        "Outubro"\
+        "Novembro"\
+        "Dezembro"\
+        ""]
+    ::msgcat::mcset pt DATE_FORMAT "%d-%m-%Y"
+    ::msgcat::mcset pt TIME_FORMAT "%k:%M:%S"
+    ::msgcat::mcset pt DATE_TIME_FORMAT "%d-%m-%Y %k:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/ro.msg

@@ -0,0 +1,52 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset ro DAYS_OF_WEEK_ABBREV [list \
+        "D"\
+        "L"\
+        "Ma"\
+        "Mi"\
+        "J"\
+        "V"\
+        "S"]
+    ::msgcat::mcset ro DAYS_OF_WEEK_FULL [list \
+        "duminic\u0103"\
+        "luni"\
+        "mar\u0163i"\
+        "miercuri"\
+        "joi"\
+        "vineri"\
+        "s\u00eemb\u0103t\u0103"]
+    ::msgcat::mcset ro MONTHS_ABBREV [list \
+        "Ian"\
+        "Feb"\
+        "Mar"\
+        "Apr"\
+        "Mai"\
+        "Iun"\
+        "Iul"\
+        "Aug"\
+        "Sep"\
+        "Oct"\
+        "Nov"\
+        "Dec"\
+        ""]
+    ::msgcat::mcset ro MONTHS_FULL [list \
+        "ianuarie"\
+        "februarie"\
+        "martie"\
+        "aprilie"\
+        "mai"\
+        "iunie"\
+        "iulie"\
+        "august"\
+        "septembrie"\
+        "octombrie"\
+        "noiembrie"\
+        "decembrie"\
+        ""]
+    ::msgcat::mcset ro BCE "d.C."
+    ::msgcat::mcset ro CE "\u00ee.d.C."
+    ::msgcat::mcset ro DATE_FORMAT "%d.%m.%Y"
+    ::msgcat::mcset ro TIME_FORMAT "%H:%M:%S"
+    ::msgcat::mcset ro DATE_TIME_FORMAT "%d.%m.%Y %H:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/ru_ua.msg

@@ -0,0 +1,6 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset ru_UA DATE_FORMAT "%d.%m.%Y"
+    ::msgcat::mcset ru_UA TIME_FORMAT "%k:%M:%S"
+    ::msgcat::mcset ru_UA DATE_TIME_FORMAT "%d.%m.%Y %k:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/sw.msg

@@ -0,0 +1,49 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset sw DAYS_OF_WEEK_ABBREV [list \
+        "Jpi"\
+        "Jtt"\
+        "Jnn"\
+        "Jtn"\
+        "Alh"\
+        "Iju"\
+        "Jmo"]
+    ::msgcat::mcset sw DAYS_OF_WEEK_FULL [list \
+        "Jumapili"\
+        "Jumatatu"\
+        "Jumanne"\
+        "Jumatano"\
+        "Alhamisi"\
+        "Ijumaa"\
+        "Jumamosi"]
+    ::msgcat::mcset sw MONTHS_ABBREV [list \
+        "Jan"\
+        "Feb"\
+        "Mar"\
+        "Apr"\
+        "Mei"\
+        "Jun"\
+        "Jul"\
+        "Ago"\
+        "Sep"\
+        "Okt"\
+        "Nov"\
+        "Des"\
+        ""]
+    ::msgcat::mcset sw MONTHS_FULL [list \
+        "Januari"\
+        "Februari"\
+        "Machi"\
+        "Aprili"\
+        "Mei"\
+        "Juni"\
+        "Julai"\
+        "Agosti"\
+        "Septemba"\
+        "Oktoba"\
+        "Novemba"\
+        "Desemba"\
+        ""]
+    ::msgcat::mcset sw BCE "KK"
+    ::msgcat::mcset sw CE "BK"
+}

llava/lib/tcl8.6/msgs/th.msg

@@ -0,0 +1,54 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset th DAYS_OF_WEEK_ABBREV [list \
+        "\u0e2d\u0e32."\
+        "\u0e08."\
+        "\u0e2d."\
+        "\u0e1e."\
+        "\u0e1e\u0e24."\
+        "\u0e28."\
+        "\u0e2a."]
+    ::msgcat::mcset th DAYS_OF_WEEK_FULL [list \
+        "\u0e27\u0e31\u0e19\u0e2d\u0e32\u0e17\u0e34\u0e15\u0e22\u0e4c"\
+        "\u0e27\u0e31\u0e19\u0e08\u0e31\u0e19\u0e17\u0e23\u0e4c"\
+        "\u0e27\u0e31\u0e19\u0e2d\u0e31\u0e07\u0e04\u0e32\u0e23"\
+        "\u0e27\u0e31\u0e19\u0e1e\u0e38\u0e18"\
+        "\u0e27\u0e31\u0e19\u0e1e\u0e24\u0e2b\u0e31\u0e2a\u0e1a\u0e14\u0e35"\
+        "\u0e27\u0e31\u0e19\u0e28\u0e38\u0e01\u0e23\u0e4c"\
+        "\u0e27\u0e31\u0e19\u0e40\u0e2a\u0e32\u0e23\u0e4c"]
+    ::msgcat::mcset th MONTHS_ABBREV [list \
+        "\u0e21.\u0e04."\
+        "\u0e01.\u0e1e."\
+        "\u0e21\u0e35.\u0e04."\
+        "\u0e40\u0e21.\u0e22."\
+        "\u0e1e.\u0e04."\
+        "\u0e21\u0e34.\u0e22."\
+        "\u0e01.\u0e04."\
+        "\u0e2a.\u0e04."\
+        "\u0e01.\u0e22."\
+        "\u0e15.\u0e04."\
+        "\u0e1e.\u0e22."\
+        "\u0e18.\u0e04."\
+        ""]
+    ::msgcat::mcset th MONTHS_FULL [list \
+        "\u0e21\u0e01\u0e23\u0e32\u0e04\u0e21"\
+        "\u0e01\u0e38\u0e21\u0e20\u0e32\u0e1e\u0e31\u0e19\u0e18\u0e4c"\
+        "\u0e21\u0e35\u0e19\u0e32\u0e04\u0e21"\
+        "\u0e40\u0e21\u0e29\u0e32\u0e22\u0e19"\
+        "\u0e1e\u0e24\u0e29\u0e20\u0e32\u0e04\u0e21"\
+        "\u0e21\u0e34\u0e16\u0e38\u0e19\u0e32\u0e22\u0e19"\
+        "\u0e01\u0e23\u0e01\u0e0e\u0e32\u0e04\u0e21"\
+        "\u0e2a\u0e34\u0e07\u0e2b\u0e32\u0e04\u0e21"\
+        "\u0e01\u0e31\u0e19\u0e22\u0e32\u0e22\u0e19"\
+        "\u0e15\u0e38\u0e25\u0e32\u0e04\u0e21"\
+        "\u0e1e\u0e24\u0e28\u0e08\u0e34\u0e01\u0e32\u0e22\u0e19"\
+        "\u0e18\u0e31\u0e19\u0e27\u0e32\u0e04\u0e21"\
+        ""]
+    ::msgcat::mcset th BCE "\u0e25\u0e17\u0e35\u0e48"
+    ::msgcat::mcset th CE "\u0e04.\u0e28."
+    ::msgcat::mcset th AM "\u0e01\u0e48\u0e2d\u0e19\u0e40\u0e17\u0e35\u0e48\u0e22\u0e07"
+    ::msgcat::mcset th PM "\u0e2b\u0e25\u0e31\u0e07\u0e40\u0e17\u0e35\u0e48\u0e22\u0e07"
+    ::msgcat::mcset th DATE_FORMAT "%e/%m/%Y"
+    ::msgcat::mcset th TIME_FORMAT "%k:%M:%S"
+    ::msgcat::mcset th DATE_TIME_FORMAT "%e/%m/%Y %k:%M:%S %z"
+}

llava/lib/tcl8.6/msgs/zh_sg.msg

@@ -0,0 +1,8 @@
+# created by tools/loadICU.tcl -- do not edit
+namespace eval ::tcl::clock {
+    ::msgcat::mcset zh_SG AM "\u4e0a\u5348"
+    ::msgcat::mcset zh_SG PM "\u4e2d\u5348"
+    ::msgcat::mcset zh_SG DATE_FORMAT "%d %B %Y"
+    ::msgcat::mcset zh_SG TIME_FORMAT_12 "%P %I:%M:%S"
+    ::msgcat::mcset zh_SG DATE_TIME_FORMAT "%d %B %Y %P %I:%M:%S %z"
+}

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_floor(at::TensorList self);
+TORCH_API void _foreach_floor_(at::TensorList self);
+
+} // namespace cuda
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log2.h

@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_foreach_log2_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_log2(Tensor[] self) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_log2(at::TensorList self) {
+    return at::_ops::_foreach_log2::call(self);
+}
+
+// aten::_foreach_log2_(Tensor(a!)[] self) -> ()
+inline void _foreach_log2_(at::TensorList self) {
+    return at::_ops::_foreach_log2_::call(self);
+}
+
+// aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_log2_out(at::TensorList out, at::TensorList self) {
+    return at::_ops::_foreach_log2_out::call(self, out);
+}
+// aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_log2_outf(at::TensorList self, at::TensorList out) {
+    return at::_ops::_foreach_log2_out::call(self, out);
+}
+
+}

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_neg(at::TensorList self);
+TORCH_API void _foreach_neg_(at::TensorList self);
+
+} // namespace cuda
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_lazy_clone_ops.h

@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _lazy_clone {
+  using schema = at::Tensor (const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_lazy_clone")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_lazy_clone(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+}} // namespace at::_ops

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nnpack_spatial_convolution.h

@@ -0,0 +1,91 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_nnpack_spatial_convolution_ops.h>
+
+namespace at {
+
+
+// aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1) -> Tensor
+inline at::Tensor _nnpack_spatial_convolution(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) {
+    return at::_ops::_nnpack_spatial_convolution::call(input, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(stride));
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor _nnpack_spatial_convolution(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) {
+    return at::_ops::_nnpack_spatial_convolution::call(input, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(stride));
+  }
+}
+
+// aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1) -> Tensor
+inline at::Tensor _nnpack_spatial_convolution_symint(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride=c10::SymInt(1)) {
+    return at::_ops::_nnpack_spatial_convolution::call(input, weight, bias, padding, stride);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor _nnpack_spatial_convolution(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride=c10::SymInt(1)) {
+    return at::_ops::_nnpack_spatial_convolution::call(input, weight, bias, padding, stride);
+  }
+}
+
+// aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _nnpack_spatial_convolution_out(at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(stride), out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & _nnpack_spatial_convolution_out(at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(stride), out);
+  }
+}
+
+// aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _nnpack_spatial_convolution_outf(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(stride), out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & _nnpack_spatial_convolution_outf(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(stride), out);
+  }
+}
+
+// aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _nnpack_spatial_convolution_symint_out(at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride=c10::SymInt(1)) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, padding, stride, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & _nnpack_spatial_convolution_out(at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride=c10::SymInt(1)) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, padding, stride, out);
+  }
+}
+
+// aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, SymInt[2] stride=1, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & _nnpack_spatial_convolution_symint_outf(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride, at::Tensor & out) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, padding, stride, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & _nnpack_spatial_convolution_outf(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride, at::Tensor & out) {
+    return at::_ops::_nnpack_spatial_convolution_out::call(input, weight, bias, padding, stride, out);
+  }
+}
+
+}

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_prelu_kernel_backward_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API ::std::tuple<at::Tensor,at::Tensor> _prelu_kernel_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight);
+TORCH_API ::std::tuple<at::Tensor,at::Tensor> mkldnn_prelu_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight);
+} // namespace native
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_semi_structured_apply_native.h

@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API ::std::tuple<at::Tensor,at::Tensor> _sparse_semi_structured_apply(const at::Tensor & input, const at::Tensor & thread_masks);
+} // namespace native
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_unsafe_index_put_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor _unsafe_index_put(const at::Tensor & self, const c10::List<::std::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false);
+
+} // namespace compositeexplicitautograd
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h

@@ -0,0 +1,28 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor _upsample_bicubic2d_aa_backward(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h=::std::nullopt, ::std::optional<double> scales_w=::std::nullopt);
+TORCH_API at::Tensor _upsample_bicubic2d_aa_backward_symint(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h=::std::nullopt, ::std::optional<double> scales_w=::std::nullopt);
+TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h=::std::nullopt, ::std::optional<double> scales_w=::std::nullopt);
+TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_outf(const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w, at::Tensor & grad_input);
+TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_symint_out(at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h=::std::nullopt, ::std::optional<double> scales_w=::std::nullopt);
+TORCH_API at::Tensor & _upsample_bicubic2d_aa_backward_symint_outf(const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w, at::Tensor & grad_input);
+
+} // namespace meta
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured__upsample_bilinear2d_aa : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & self, at::ArrayRef<int64_t> output_size, bool align_corners, ::std::optional<double> scales_h, ::std::optional<double> scales_w);
+};
+
+} // namespace native
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/adaptive_avg_pool3d.h

@@ -0,0 +1,91 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/adaptive_avg_pool3d_ops.h>
+
+namespace at {
+
+
+// aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & adaptive_avg_pool3d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, c10::fromIntArrayRefSlow(output_size), out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & adaptive_avg_pool3d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, c10::fromIntArrayRefSlow(output_size), out);
+  }
+}
+
+// aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & adaptive_avg_pool3d_outf(const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, c10::fromIntArrayRefSlow(output_size), out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & adaptive_avg_pool3d_outf(const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, c10::fromIntArrayRefSlow(output_size), out);
+  }
+}
+
+// aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & adaptive_avg_pool3d_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, output_size, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & adaptive_avg_pool3d_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, output_size, out);
+  }
+}
+
+// aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & adaptive_avg_pool3d_symint_outf(const at::Tensor & self, c10::SymIntArrayRef output_size, at::Tensor & out) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, output_size, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & adaptive_avg_pool3d_outf(const at::Tensor & self, c10::SymIntArrayRef output_size, at::Tensor & out) {
+    return at::_ops::adaptive_avg_pool3d_out::call(self, output_size, out);
+  }
+}
+
+// aten::adaptive_avg_pool3d(Tensor self, SymInt[3] output_size) -> Tensor
+inline at::Tensor adaptive_avg_pool3d(const at::Tensor & self, at::IntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d::call(self, c10::fromIntArrayRefSlow(output_size));
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor adaptive_avg_pool3d(const at::Tensor & self, at::IntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d::call(self, c10::fromIntArrayRefSlow(output_size));
+  }
+}
+
+// aten::adaptive_avg_pool3d(Tensor self, SymInt[3] output_size) -> Tensor
+inline at::Tensor adaptive_avg_pool3d_symint(const at::Tensor & self, c10::SymIntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d::call(self, output_size);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor adaptive_avg_pool3d(const at::Tensor & self, c10::SymIntArrayRef output_size) {
+    return at::_ops::adaptive_avg_pool3d::call(self, output_size);
+  }
+}
+
+}

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h

@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_adaptive_max_pool2d_backward : public at::impl::MetaBase {
+    
+    
+    void meta(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices);
+};
+
+} // namespace native
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/atan2_meta_dispatch.h

@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor atan2(const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & atan2_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & atan2_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+TORCH_API at::Tensor & atan2_(at::Tensor & self, const at::Tensor & other);
+
+} // namespace meta
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const ::std::optional<at::Tensor> & running_mean, const ::std::optional<at::Tensor> & running_var, double momentum, double eps, int64_t count);
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_outf(const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const ::std::optional<at::Tensor> & running_mean, const ::std::optional<at::Tensor> & running_var, double momentum, double eps, int64_t count, at::Tensor & out0, at::Tensor & out1);
+
+} // namespace compositeexplicitautograd
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_with_counts_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const ::std::optional<at::Tensor> & running_mean, const ::std::optional<at::Tensor> & running_var, double momentum, double eps, const at::Tensor & counts);
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_with_counts_outf(const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const ::std::optional<at::Tensor> & running_mean, const ::std::optional<at::Tensor> & running_var, double momentum, double eps, const at::Tensor & counts, at::Tensor & out0, at::Tensor & out1);
+
+} // namespace compositeexplicitautograd
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/complex_cuda_dispatch.h

@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor & complex_out(at::Tensor & out, const at::Tensor & real, const at::Tensor & imag);
+TORCH_API at::Tensor & complex_outf(const at::Tensor & real, const at::Tensor & imag, at::Tensor & out);
+
+} // namespace cuda
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conv1d_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API conv1d {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, c10::SymIntArrayRef, c10::SymIntArrayRef, c10::SymIntArrayRef, c10::SymInt);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::conv1d")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "conv1d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, SymInt[1] padding=0, SymInt[1] dilation=1, SymInt groups=1) -> Tensor")
+  static at::Tensor call(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::SymIntArrayRef padding, c10::SymIntArrayRef dilation, c10::SymInt groups);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::SymIntArrayRef padding, c10::SymIntArrayRef dilation, c10::SymInt groups);
+};
+
+struct TORCH_API conv1d_padding {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional<at::Tensor> &, c10::SymIntArrayRef, c10::string_view, c10::SymIntArrayRef, c10::SymInt);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::conv1d")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "padding")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[1] stride=1, str padding=\"valid\", SymInt[1] dilation=1, SymInt groups=1) -> Tensor")
+  static at::Tensor call(const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::string_view padding, c10::SymIntArrayRef dilation, c10::SymInt groups);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const ::std::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::string_view padding, c10::SymIntArrayRef dilation, c10::SymInt groups);
+};
+
+}} // namespace at::_ops

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cudnn_grid_sampler_ops.h

@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API cudnn_grid_sampler {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cudnn_grid_sampler")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cudnn_grid_sampler(Tensor self, Tensor grid) -> Tensor output")
+  static at::Tensor call(const at::Tensor & self, const at::Tensor & grid);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid);
+};
+
+struct TORCH_API cudnn_grid_sampler_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cudnn_grid_sampler")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cudnn_grid_sampler.out(Tensor self, Tensor grid, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, const at::Tensor & grid, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, at::Tensor & out);
+};
+
+}} // namespace at::_ops

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/cummax.h

@@ -0,0 +1,53 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/cummax_ops.h>
+
+namespace at {
+
+
+// aten::cummax(Tensor self, int dim) -> (Tensor values, Tensor indices)
+inline ::std::tuple<at::Tensor,at::Tensor> cummax(const at::Tensor & self, int64_t dim) {
+    return at::_ops::cummax::call(self, dim);
+}
+
+// aten::cummax.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
+inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim) {
+    return at::_ops::cummax_out::call(self, dim, values, indices);
+}
+// aten::cummax.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
+inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(const at::Tensor & self, int64_t dim, at::Tensor & values, at::Tensor & indices) {
+    return at::_ops::cummax_out::call(self, dim, values, indices);
+}
+
+// aten::cummax.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices)
+inline ::std::tuple<at::Tensor,at::Tensor> cummax(const at::Tensor & self, at::Dimname dim) {
+    return at::_ops::cummax_dimname::call(self, dim);
+}
+
+// aten::cummax.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
+inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) {
+    return at::_ops::cummax_dimname_out::call(self, dim, values, indices);
+}
+// aten::cummax.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices)
+inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) {
+    return at::_ops::cummax_dimname_out::call(self, dim, values, indices);
+}
+
+}

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/diagonal_native.h

@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor diagonal(const at::Tensor & self, int64_t offset=0, int64_t dim1=0, int64_t dim2=1);
+TORCH_API at::Tensor diagonal(const at::Tensor & self, at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset=0);
+} // namespace native
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h

@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor diff(const at::Tensor & self, int64_t n=1, int64_t dim=-1, const ::std::optional<at::Tensor> & prepend={}, const ::std::optional<at::Tensor> & append={});
+TORCH_API at::Tensor & diff_out(at::Tensor & out, const at::Tensor & self, int64_t n=1, int64_t dim=-1, const ::std::optional<at::Tensor> & prepend={}, const ::std::optional<at::Tensor> & append={});
+TORCH_API at::Tensor & diff_outf(const at::Tensor & self, int64_t n, int64_t dim, const ::std::optional<at::Tensor> & prepend, const ::std::optional<at::Tensor> & append, at::Tensor & out);
+
+} // namespace compositeimplicitautograd
+} // namespace at

parrot/lib/python3.10/site-packages/torch/include/ATen/ops/embedding_dense_backward.h

@@ -0,0 +1,91 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/embedding_dense_backward_ops.h>
+
+namespace at {
+
+
+// aten::embedding_dense_backward(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq) -> Tensor
+inline at::Tensor embedding_dense_backward(const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor embedding_dense_backward(const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq);
+  }
+}
+
+// aten::embedding_dense_backward(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq) -> Tensor
+inline at::Tensor embedding_dense_backward_symint(const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor embedding_dense_backward(const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq);
+  }
+}
+
+// aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & embedding_dense_backward_out(at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & embedding_dense_backward_out(at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+  }
+}
+
+// aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & embedding_dense_backward_outf(const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq, at::Tensor & out) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & embedding_dense_backward_outf(const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq, at::Tensor & out) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+  }
+}
+
+// aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & embedding_dense_backward_symint_out(at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & embedding_dense_backward_out(at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+  }
+}
+
+// aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & embedding_dense_backward_symint_outf(const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq, at::Tensor & out) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & embedding_dense_backward_outf(const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq, at::Tensor & out) {
+    return at::_ops::embedding_dense_backward_out::call(grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out);
+  }
+}
+
+}