diff --git a/llava/lib/python3.10/distutils/__pycache__/ccompiler.cpython-310.pyc b/llava/lib/python3.10/distutils/__pycache__/ccompiler.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3ad9d8030b59ff5c6d8570f28030342f5861e965 Binary files /dev/null and b/llava/lib/python3.10/distutils/__pycache__/ccompiler.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/__pycache__/config.cpython-310.pyc b/llava/lib/python3.10/distutils/__pycache__/config.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..76e048538fe71fb698cda37d511a8c967e61b0ce Binary files /dev/null and b/llava/lib/python3.10/distutils/__pycache__/config.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/__pycache__/util.cpython-310.pyc b/llava/lib/python3.10/distutils/__pycache__/util.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7e2cf86053855be9c2d81a513ef8980009a5d7b7 Binary files /dev/null and b/llava/lib/python3.10/distutils/__pycache__/util.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/command/__init__.py b/llava/lib/python3.10/distutils/command/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..fd0bfae7ade6ff0af2267eb4b86b7781888ccecf --- /dev/null +++ b/llava/lib/python3.10/distutils/command/__init__.py @@ -0,0 +1,30 @@ +"""distutils.command + +Package containing implementation of all the standard Distutils +commands.""" + +__all__ = ['build', + 'build_py', + 'build_ext', + 'build_clib', + 'build_scripts', + 'clean', + 'install', + 'install_lib', + 'install_headers', + 'install_scripts', + 'install_data', + 'sdist', + 'register', + 'bdist', + 'bdist_dumb', + 'bdist_rpm', + 'check', + 'upload', + # These two are reserved for future use: + #'bdist_sdux', + #'bdist_pkgtool', + # Note: + # bdist_packager is not included because it only provides + # an abstract base class + ] diff --git a/llava/lib/python3.10/distutils/command/__pycache__/bdist_dumb.cpython-310.pyc b/llava/lib/python3.10/distutils/command/__pycache__/bdist_dumb.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..0e74082c221b5ef54152324398e03b50b5767ecb Binary files /dev/null and b/llava/lib/python3.10/distutils/command/__pycache__/bdist_dumb.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/command/__pycache__/build_clib.cpython-310.pyc b/llava/lib/python3.10/distutils/command/__pycache__/build_clib.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..25ee79d272f9683bcb9b152013312470ab01a0ff Binary files /dev/null and b/llava/lib/python3.10/distutils/command/__pycache__/build_clib.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/command/__pycache__/check.cpython-310.pyc b/llava/lib/python3.10/distutils/command/__pycache__/check.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..5756d2eda5b5a7b5047594578deed0a96ea655b1 Binary files /dev/null and b/llava/lib/python3.10/distutils/command/__pycache__/check.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/command/__pycache__/sdist.cpython-310.pyc b/llava/lib/python3.10/distutils/command/__pycache__/sdist.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d66678232c2effd5e98742f7131219e76ba60d87 Binary files /dev/null and b/llava/lib/python3.10/distutils/command/__pycache__/sdist.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/command/bdist_dumb.py b/llava/lib/python3.10/distutils/command/bdist_dumb.py new file mode 100644 index 0000000000000000000000000000000000000000..f0d6b5b8cd8ab3ceb772a6e9f962bbce0bc8c1d2 --- /dev/null +++ b/llava/lib/python3.10/distutils/command/bdist_dumb.py @@ -0,0 +1,123 @@ +"""distutils.command.bdist_dumb + +Implements the Distutils 'bdist_dumb' command (create a "dumb" built +distribution -- i.e., just an archive to be unpacked under $prefix or +$exec_prefix).""" + +import os +from distutils.core import Command +from distutils.util import get_platform +from distutils.dir_util import remove_tree, ensure_relative +from distutils.errors import * +from distutils.sysconfig import get_python_version +from distutils import log + +class bdist_dumb(Command): + + description = "create a \"dumb\" built distribution" + + user_options = [('bdist-dir=', 'd', + "temporary directory for creating the distribution"), + ('plat-name=', 'p', + "platform name to embed in generated filenames " + "(default: %s)" % get_platform()), + ('format=', 'f', + "archive format to create (tar, gztar, bztar, xztar, " + "ztar, zip)"), + ('keep-temp', 'k', + "keep the pseudo-installation tree around after " + + "creating the distribution archive"), + ('dist-dir=', 'd', + "directory to put final built distributions in"), + ('skip-build', None, + "skip rebuilding everything (for testing/debugging)"), + ('relative', None, + "build the archive using relative paths " + "(default: false)"), + ('owner=', 'u', + "Owner name used when creating a tar file" + " [default: current user]"), + ('group=', 'g', + "Group name used when creating a tar file" + " [default: current group]"), + ] + + boolean_options = ['keep-temp', 'skip-build', 'relative'] + + default_format = { 'posix': 'gztar', + 'nt': 'zip' } + + def initialize_options(self): + self.bdist_dir = None + self.plat_name = None + self.format = None + self.keep_temp = 0 + self.dist_dir = None + self.skip_build = None + self.relative = 0 + self.owner = None + self.group = None + + def finalize_options(self): + if self.bdist_dir is None: + bdist_base = self.get_finalized_command('bdist').bdist_base + self.bdist_dir = os.path.join(bdist_base, 'dumb') + + if self.format is None: + try: + self.format = self.default_format[os.name] + except KeyError: + raise DistutilsPlatformError( + "don't know how to create dumb built distributions " + "on platform %s" % os.name) + + self.set_undefined_options('bdist', + ('dist_dir', 'dist_dir'), + ('plat_name', 'plat_name'), + ('skip_build', 'skip_build')) + + def run(self): + if not self.skip_build: + self.run_command('build') + + install = self.reinitialize_command('install', reinit_subcommands=1) + install.root = self.bdist_dir + install.skip_build = self.skip_build + install.warn_dir = 0 + + log.info("installing to %s", self.bdist_dir) + self.run_command('install') + + # And make an archive relative to the root of the + # pseudo-installation tree. + archive_basename = "%s.%s" % (self.distribution.get_fullname(), + self.plat_name) + + pseudoinstall_root = os.path.join(self.dist_dir, archive_basename) + if not self.relative: + archive_root = self.bdist_dir + else: + if (self.distribution.has_ext_modules() and + (install.install_base != install.install_platbase)): + raise DistutilsPlatformError( + "can't make a dumb built distribution where " + "base and platbase are different (%s, %s)" + % (repr(install.install_base), + repr(install.install_platbase))) + else: + archive_root = os.path.join(self.bdist_dir, + ensure_relative(install.install_base)) + + # Make the archive + filename = self.make_archive(pseudoinstall_root, + self.format, root_dir=archive_root, + owner=self.owner, group=self.group) + if self.distribution.has_ext_modules(): + pyversion = get_python_version() + else: + pyversion = 'any' + self.distribution.dist_files.append(('bdist_dumb', pyversion, + filename)) + + if not self.keep_temp: + remove_tree(self.bdist_dir, dry_run=self.dry_run) diff --git a/llava/lib/python3.10/distutils/command/bdist_rpm.py b/llava/lib/python3.10/distutils/command/bdist_rpm.py new file mode 100644 index 0000000000000000000000000000000000000000..550cbfa1e28a2376fe1b4f994bce86b446c0916e --- /dev/null +++ b/llava/lib/python3.10/distutils/command/bdist_rpm.py @@ -0,0 +1,579 @@ +"""distutils.command.bdist_rpm + +Implements the Distutils 'bdist_rpm' command (create RPM source and binary +distributions).""" + +import subprocess, sys, os +from distutils.core import Command +from distutils.debug import DEBUG +from distutils.file_util import write_file +from distutils.errors import * +from distutils.sysconfig import get_python_version +from distutils import log + +class bdist_rpm(Command): + + description = "create an RPM distribution" + + user_options = [ + ('bdist-base=', None, + "base directory for creating built distributions"), + ('rpm-base=', None, + "base directory for creating RPMs (defaults to \"rpm\" under " + "--bdist-base; must be specified for RPM 2)"), + ('dist-dir=', 'd', + "directory to put final RPM files in " + "(and .spec files if --spec-only)"), + ('python=', None, + "path to Python interpreter to hard-code in the .spec file " + "(default: \"python\")"), + ('fix-python', None, + "hard-code the exact path to the current Python interpreter in " + "the .spec file"), + ('spec-only', None, + "only regenerate spec file"), + ('source-only', None, + "only generate source RPM"), + ('binary-only', None, + "only generate binary RPM"), + ('use-bzip2', None, + "use bzip2 instead of gzip to create source distribution"), + + # More meta-data: too RPM-specific to put in the setup script, + # but needs to go in the .spec file -- so we make these options + # to "bdist_rpm". The idea is that packagers would put this + # info in setup.cfg, although they are of course free to + # supply it on the command line. + ('distribution-name=', None, + "name of the (Linux) distribution to which this " + "RPM applies (*not* the name of the module distribution!)"), + ('group=', None, + "package classification [default: \"Development/Libraries\"]"), + ('release=', None, + "RPM release number"), + ('serial=', None, + "RPM serial number"), + ('vendor=', None, + "RPM \"vendor\" (eg. \"Joe Blow \") " + "[default: maintainer or author from setup script]"), + ('packager=', None, + "RPM packager (eg. \"Jane Doe \") " + "[default: vendor]"), + ('doc-files=', None, + "list of documentation files (space or comma-separated)"), + ('changelog=', None, + "RPM changelog"), + ('icon=', None, + "name of icon file"), + ('provides=', None, + "capabilities provided by this package"), + ('requires=', None, + "capabilities required by this package"), + ('conflicts=', None, + "capabilities which conflict with this package"), + ('build-requires=', None, + "capabilities required to build this package"), + ('obsoletes=', None, + "capabilities made obsolete by this package"), + ('no-autoreq', None, + "do not automatically calculate dependencies"), + + # Actions to take when building RPM + ('keep-temp', 'k', + "don't clean up RPM build directory"), + ('no-keep-temp', None, + "clean up RPM build directory [default]"), + ('use-rpm-opt-flags', None, + "compile with RPM_OPT_FLAGS when building from source RPM"), + ('no-rpm-opt-flags', None, + "do not pass any RPM CFLAGS to compiler"), + ('rpm3-mode', None, + "RPM 3 compatibility mode (default)"), + ('rpm2-mode', None, + "RPM 2 compatibility mode"), + + # Add the hooks necessary for specifying custom scripts + ('prep-script=', None, + "Specify a script for the PREP phase of RPM building"), + ('build-script=', None, + "Specify a script for the BUILD phase of RPM building"), + + ('pre-install=', None, + "Specify a script for the pre-INSTALL phase of RPM building"), + ('install-script=', None, + "Specify a script for the INSTALL phase of RPM building"), + ('post-install=', None, + "Specify a script for the post-INSTALL phase of RPM building"), + + ('pre-uninstall=', None, + "Specify a script for the pre-UNINSTALL phase of RPM building"), + ('post-uninstall=', None, + "Specify a script for the post-UNINSTALL phase of RPM building"), + + ('clean-script=', None, + "Specify a script for the CLEAN phase of RPM building"), + + ('verify-script=', None, + "Specify a script for the VERIFY phase of the RPM build"), + + # Allow a packager to explicitly force an architecture + ('force-arch=', None, + "Force an architecture onto the RPM build process"), + + ('quiet', 'q', + "Run the INSTALL phase of RPM building in quiet mode"), + ] + + boolean_options = ['keep-temp', 'use-rpm-opt-flags', 'rpm3-mode', + 'no-autoreq', 'quiet'] + + negative_opt = {'no-keep-temp': 'keep-temp', + 'no-rpm-opt-flags': 'use-rpm-opt-flags', + 'rpm2-mode': 'rpm3-mode'} + + + def initialize_options(self): + self.bdist_base = None + self.rpm_base = None + self.dist_dir = None + self.python = None + self.fix_python = None + self.spec_only = None + self.binary_only = None + self.source_only = None + self.use_bzip2 = None + + self.distribution_name = None + self.group = None + self.release = None + self.serial = None + self.vendor = None + self.packager = None + self.doc_files = None + self.changelog = None + self.icon = None + + self.prep_script = None + self.build_script = None + self.install_script = None + self.clean_script = None + self.verify_script = None + self.pre_install = None + self.post_install = None + self.pre_uninstall = None + self.post_uninstall = None + self.prep = None + self.provides = None + self.requires = None + self.conflicts = None + self.build_requires = None + self.obsoletes = None + + self.keep_temp = 0 + self.use_rpm_opt_flags = 1 + self.rpm3_mode = 1 + self.no_autoreq = 0 + + self.force_arch = None + self.quiet = 0 + + def finalize_options(self): + self.set_undefined_options('bdist', ('bdist_base', 'bdist_base')) + if self.rpm_base is None: + if not self.rpm3_mode: + raise DistutilsOptionError( + "you must specify --rpm-base in RPM 2 mode") + self.rpm_base = os.path.join(self.bdist_base, "rpm") + + if self.python is None: + if self.fix_python: + self.python = sys.executable + else: + self.python = "python3" + elif self.fix_python: + raise DistutilsOptionError( + "--python and --fix-python are mutually exclusive options") + + if os.name != 'posix': + raise DistutilsPlatformError("don't know how to create RPM " + "distributions on platform %s" % os.name) + if self.binary_only and self.source_only: + raise DistutilsOptionError( + "cannot supply both '--source-only' and '--binary-only'") + + # don't pass CFLAGS to pure python distributions + if not self.distribution.has_ext_modules(): + self.use_rpm_opt_flags = 0 + + self.set_undefined_options('bdist', ('dist_dir', 'dist_dir')) + self.finalize_package_data() + + def finalize_package_data(self): + self.ensure_string('group', "Development/Libraries") + self.ensure_string('vendor', + "%s <%s>" % (self.distribution.get_contact(), + self.distribution.get_contact_email())) + self.ensure_string('packager') + self.ensure_string_list('doc_files') + if isinstance(self.doc_files, list): + for readme in ('README', 'README.txt'): + if os.path.exists(readme) and readme not in self.doc_files: + self.doc_files.append(readme) + + self.ensure_string('release', "1") + self.ensure_string('serial') # should it be an int? + + self.ensure_string('distribution_name') + + self.ensure_string('changelog') + # Format changelog correctly + self.changelog = self._format_changelog(self.changelog) + + self.ensure_filename('icon') + + self.ensure_filename('prep_script') + self.ensure_filename('build_script') + self.ensure_filename('install_script') + self.ensure_filename('clean_script') + self.ensure_filename('verify_script') + self.ensure_filename('pre_install') + self.ensure_filename('post_install') + self.ensure_filename('pre_uninstall') + self.ensure_filename('post_uninstall') + + # XXX don't forget we punted on summaries and descriptions -- they + # should be handled here eventually! + + # Now *this* is some meta-data that belongs in the setup script... + self.ensure_string_list('provides') + self.ensure_string_list('requires') + self.ensure_string_list('conflicts') + self.ensure_string_list('build_requires') + self.ensure_string_list('obsoletes') + + self.ensure_string('force_arch') + + def run(self): + if DEBUG: + print("before _get_package_data():") + print("vendor =", self.vendor) + print("packager =", self.packager) + print("doc_files =", self.doc_files) + print("changelog =", self.changelog) + + # make directories + if self.spec_only: + spec_dir = self.dist_dir + self.mkpath(spec_dir) + else: + rpm_dir = {} + for d in ('SOURCES', 'SPECS', 'BUILD', 'RPMS', 'SRPMS'): + rpm_dir[d] = os.path.join(self.rpm_base, d) + self.mkpath(rpm_dir[d]) + spec_dir = rpm_dir['SPECS'] + + # Spec file goes into 'dist_dir' if '--spec-only specified', + # build/rpm. otherwise. + spec_path = os.path.join(spec_dir, + "%s.spec" % self.distribution.get_name()) + self.execute(write_file, + (spec_path, + self._make_spec_file()), + "writing '%s'" % spec_path) + + if self.spec_only: # stop if requested + return + + # Make a source distribution and copy to SOURCES directory with + # optional icon. + saved_dist_files = self.distribution.dist_files[:] + sdist = self.reinitialize_command('sdist') + if self.use_bzip2: + sdist.formats = ['bztar'] + else: + sdist.formats = ['gztar'] + self.run_command('sdist') + self.distribution.dist_files = saved_dist_files + + source = sdist.get_archive_files()[0] + source_dir = rpm_dir['SOURCES'] + self.copy_file(source, source_dir) + + if self.icon: + if os.path.exists(self.icon): + self.copy_file(self.icon, source_dir) + else: + raise DistutilsFileError( + "icon file '%s' does not exist" % self.icon) + + # build package + log.info("building RPMs") + rpm_cmd = ['rpmbuild'] + + if self.source_only: # what kind of RPMs? + rpm_cmd.append('-bs') + elif self.binary_only: + rpm_cmd.append('-bb') + else: + rpm_cmd.append('-ba') + rpm_cmd.extend(['--define', '__python %s' % self.python]) + if self.rpm3_mode: + rpm_cmd.extend(['--define', + '_topdir %s' % os.path.abspath(self.rpm_base)]) + if not self.keep_temp: + rpm_cmd.append('--clean') + + if self.quiet: + rpm_cmd.append('--quiet') + + rpm_cmd.append(spec_path) + # Determine the binary rpm names that should be built out of this spec + # file + # Note that some of these may not be really built (if the file + # list is empty) + nvr_string = "%{name}-%{version}-%{release}" + src_rpm = nvr_string + ".src.rpm" + non_src_rpm = "%{arch}/" + nvr_string + ".%{arch}.rpm" + q_cmd = r"rpm -q --qf '%s %s\n' --specfile '%s'" % ( + src_rpm, non_src_rpm, spec_path) + + out = os.popen(q_cmd) + try: + binary_rpms = [] + source_rpm = None + while True: + line = out.readline() + if not line: + break + l = line.strip().split() + assert(len(l) == 2) + binary_rpms.append(l[1]) + # The source rpm is named after the first entry in the spec file + if source_rpm is None: + source_rpm = l[0] + + status = out.close() + if status: + raise DistutilsExecError("Failed to execute: %s" % repr(q_cmd)) + + finally: + out.close() + + self.spawn(rpm_cmd) + + if not self.dry_run: + if self.distribution.has_ext_modules(): + pyversion = get_python_version() + else: + pyversion = 'any' + + if not self.binary_only: + srpm = os.path.join(rpm_dir['SRPMS'], source_rpm) + assert(os.path.exists(srpm)) + self.move_file(srpm, self.dist_dir) + filename = os.path.join(self.dist_dir, source_rpm) + self.distribution.dist_files.append( + ('bdist_rpm', pyversion, filename)) + + if not self.source_only: + for rpm in binary_rpms: + rpm = os.path.join(rpm_dir['RPMS'], rpm) + if os.path.exists(rpm): + self.move_file(rpm, self.dist_dir) + filename = os.path.join(self.dist_dir, + os.path.basename(rpm)) + self.distribution.dist_files.append( + ('bdist_rpm', pyversion, filename)) + + def _dist_path(self, path): + return os.path.join(self.dist_dir, os.path.basename(path)) + + def _make_spec_file(self): + """Generate the text of an RPM spec file and return it as a + list of strings (one per line). + """ + # definitions and headers + spec_file = [ + '%define name ' + self.distribution.get_name(), + '%define version ' + self.distribution.get_version().replace('-','_'), + '%define unmangled_version ' + self.distribution.get_version(), + '%define release ' + self.release.replace('-','_'), + '', + 'Summary: ' + self.distribution.get_description(), + ] + + # Workaround for #14443 which affects some RPM based systems such as + # RHEL6 (and probably derivatives) + vendor_hook = subprocess.getoutput('rpm --eval %{__os_install_post}') + # Generate a potential replacement value for __os_install_post (whilst + # normalizing the whitespace to simplify the test for whether the + # invocation of brp-python-bytecompile passes in __python): + vendor_hook = '\n'.join([' %s \\' % line.strip() + for line in vendor_hook.splitlines()]) + problem = "brp-python-bytecompile \\\n" + fixed = "brp-python-bytecompile %{__python} \\\n" + fixed_hook = vendor_hook.replace(problem, fixed) + if fixed_hook != vendor_hook: + spec_file.append('# Workaround for http://bugs.python.org/issue14443') + spec_file.append('%define __os_install_post ' + fixed_hook + '\n') + + # put locale summaries into spec file + # XXX not supported for now (hard to put a dictionary + # in a config file -- arg!) + #for locale in self.summaries.keys(): + # spec_file.append('Summary(%s): %s' % (locale, + # self.summaries[locale])) + + spec_file.extend([ + 'Name: %{name}', + 'Version: %{version}', + 'Release: %{release}',]) + + # XXX yuck! this filename is available from the "sdist" command, + # but only after it has run: and we create the spec file before + # running "sdist", in case of --spec-only. + if self.use_bzip2: + spec_file.append('Source0: %{name}-%{unmangled_version}.tar.bz2') + else: + spec_file.append('Source0: %{name}-%{unmangled_version}.tar.gz') + + spec_file.extend([ + 'License: ' + self.distribution.get_license(), + 'Group: ' + self.group, + 'BuildRoot: %{_tmppath}/%{name}-%{version}-%{release}-buildroot', + 'Prefix: %{_prefix}', ]) + + if not self.force_arch: + # noarch if no extension modules + if not self.distribution.has_ext_modules(): + spec_file.append('BuildArch: noarch') + else: + spec_file.append( 'BuildArch: %s' % self.force_arch ) + + for field in ('Vendor', + 'Packager', + 'Provides', + 'Requires', + 'Conflicts', + 'Obsoletes', + ): + val = getattr(self, field.lower()) + if isinstance(val, list): + spec_file.append('%s: %s' % (field, ' '.join(val))) + elif val is not None: + spec_file.append('%s: %s' % (field, val)) + + + if self.distribution.get_url() != 'UNKNOWN': + spec_file.append('Url: ' + self.distribution.get_url()) + + if self.distribution_name: + spec_file.append('Distribution: ' + self.distribution_name) + + if self.build_requires: + spec_file.append('BuildRequires: ' + + ' '.join(self.build_requires)) + + if self.icon: + spec_file.append('Icon: ' + os.path.basename(self.icon)) + + if self.no_autoreq: + spec_file.append('AutoReq: 0') + + spec_file.extend([ + '', + '%description', + self.distribution.get_long_description() + ]) + + # put locale descriptions into spec file + # XXX again, suppressed because config file syntax doesn't + # easily support this ;-( + #for locale in self.descriptions.keys(): + # spec_file.extend([ + # '', + # '%description -l ' + locale, + # self.descriptions[locale], + # ]) + + # rpm scripts + # figure out default build script + def_setup_call = "%s %s" % (self.python,os.path.basename(sys.argv[0])) + def_build = "%s build" % def_setup_call + if self.use_rpm_opt_flags: + def_build = 'env CFLAGS="$RPM_OPT_FLAGS" ' + def_build + + # insert contents of files + + # XXX this is kind of misleading: user-supplied options are files + # that we open and interpolate into the spec file, but the defaults + # are just text that we drop in as-is. Hmmm. + + install_cmd = ('%s install -O1 --root=$RPM_BUILD_ROOT ' + '--record=INSTALLED_FILES') % def_setup_call + + script_options = [ + ('prep', 'prep_script', "%setup -n %{name}-%{unmangled_version}"), + ('build', 'build_script', def_build), + ('install', 'install_script', install_cmd), + ('clean', 'clean_script', "rm -rf $RPM_BUILD_ROOT"), + ('verifyscript', 'verify_script', None), + ('pre', 'pre_install', None), + ('post', 'post_install', None), + ('preun', 'pre_uninstall', None), + ('postun', 'post_uninstall', None), + ] + + for (rpm_opt, attr, default) in script_options: + # Insert contents of file referred to, if no file is referred to + # use 'default' as contents of script + val = getattr(self, attr) + if val or default: + spec_file.extend([ + '', + '%' + rpm_opt,]) + if val: + with open(val) as f: + spec_file.extend(f.read().split('\n')) + else: + spec_file.append(default) + + + # files section + spec_file.extend([ + '', + '%files -f INSTALLED_FILES', + '%defattr(-,root,root)', + ]) + + if self.doc_files: + spec_file.append('%doc ' + ' '.join(self.doc_files)) + + if self.changelog: + spec_file.extend([ + '', + '%changelog',]) + spec_file.extend(self.changelog) + + return spec_file + + def _format_changelog(self, changelog): + """Format the changelog correctly and convert it to a list of strings + """ + if not changelog: + return changelog + new_changelog = [] + for line in changelog.strip().split('\n'): + line = line.strip() + if line[0] == '*': + new_changelog.extend(['', line]) + elif line[0] == '-': + new_changelog.append(line) + else: + new_changelog.append(' ' + line) + + # strip trailing newline inserted by first changelog entry + if not new_changelog[0]: + del new_changelog[0] + + return new_changelog diff --git a/llava/lib/python3.10/distutils/command/build_ext.py b/llava/lib/python3.10/distutils/command/build_ext.py new file mode 100644 index 0000000000000000000000000000000000000000..1a9bd1200f82358c5a758c69c433bb55621e157e --- /dev/null +++ b/llava/lib/python3.10/distutils/command/build_ext.py @@ -0,0 +1,754 @@ +"""distutils.command.build_ext + +Implements the Distutils 'build_ext' command, for building extension +modules (currently limited to C extensions, should accommodate C++ +extensions ASAP).""" + +import contextlib +import os +import re +import sys +from distutils.core import Command +from distutils.errors import * +from distutils.sysconfig import customize_compiler, get_python_version +from distutils.sysconfig import get_config_h_filename +from distutils.dep_util import newer_group +from distutils.extension import Extension +from distutils.util import get_platform +from distutils import log + +from site import USER_BASE + +# An extension name is just a dot-separated list of Python NAMEs (ie. +# the same as a fully-qualified module name). +extension_name_re = re.compile \ + (r'^[a-zA-Z_][a-zA-Z_0-9]*(\.[a-zA-Z_][a-zA-Z_0-9]*)*$') + + +def show_compilers (): + from distutils.ccompiler import show_compilers + show_compilers() + + +class build_ext(Command): + + description = "build C/C++ extensions (compile/link to build directory)" + + # XXX thoughts on how to deal with complex command-line options like + # these, i.e. how to make it so fancy_getopt can suck them off the + # command line and make it look like setup.py defined the appropriate + # lists of tuples of what-have-you. + # - each command needs a callback to process its command-line options + # - Command.__init__() needs access to its share of the whole + # command line (must ultimately come from + # Distribution.parse_command_line()) + # - it then calls the current command class' option-parsing + # callback to deal with weird options like -D, which have to + # parse the option text and churn out some custom data + # structure + # - that data structure (in this case, a list of 2-tuples) + # will then be present in the command object by the time + # we get to finalize_options() (i.e. the constructor + # takes care of both command-line and client options + # in between initialize_options() and finalize_options()) + + sep_by = " (separated by '%s')" % os.pathsep + user_options = [ + ('build-lib=', 'b', + "directory for compiled extension modules"), + ('build-temp=', 't', + "directory for temporary files (build by-products)"), + ('plat-name=', 'p', + "platform name to cross-compile for, if supported " + "(default: %s)" % get_platform()), + ('inplace', 'i', + "ignore build-lib and put compiled extensions into the source " + + "directory alongside your pure Python modules"), + ('include-dirs=', 'I', + "list of directories to search for header files" + sep_by), + ('define=', 'D', + "C preprocessor macros to define"), + ('undef=', 'U', + "C preprocessor macros to undefine"), + ('libraries=', 'l', + "external C libraries to link with"), + ('library-dirs=', 'L', + "directories to search for external C libraries" + sep_by), + ('rpath=', 'R', + "directories to search for shared C libraries at runtime"), + ('link-objects=', 'O', + "extra explicit link objects to include in the link"), + ('debug', 'g', + "compile/link with debugging information"), + ('force', 'f', + "forcibly build everything (ignore file timestamps)"), + ('compiler=', 'c', + "specify the compiler type"), + ('parallel=', 'j', + "number of parallel build jobs"), + ('swig-cpp', None, + "make SWIG create C++ files (default is C)"), + ('swig-opts=', None, + "list of SWIG command line options"), + ('swig=', None, + "path to the SWIG executable"), + ('user', None, + "add user include, library and rpath") + ] + + boolean_options = ['inplace', 'debug', 'force', 'swig-cpp', 'user'] + + help_options = [ + ('help-compiler', None, + "list available compilers", show_compilers), + ] + + def initialize_options(self): + self.extensions = None + self.build_lib = None + self.plat_name = None + self.build_temp = None + self.inplace = 0 + self.package = None + + self.include_dirs = None + self.define = None + self.undef = None + self.libraries = None + self.library_dirs = None + self.rpath = None + self.link_objects = None + self.debug = None + self.force = None + self.compiler = None + self.swig = None + self.swig_cpp = None + self.swig_opts = None + self.user = None + self.parallel = None + + def finalize_options(self): + from distutils import sysconfig + + self.set_undefined_options('build', + ('build_lib', 'build_lib'), + ('build_temp', 'build_temp'), + ('compiler', 'compiler'), + ('debug', 'debug'), + ('force', 'force'), + ('parallel', 'parallel'), + ('plat_name', 'plat_name'), + ) + + if self.package is None: + self.package = self.distribution.ext_package + + self.extensions = self.distribution.ext_modules + + # Make sure Python's include directories (for Python.h, pyconfig.h, + # etc.) are in the include search path. + py_include = sysconfig.get_python_inc() + plat_py_include = sysconfig.get_python_inc(plat_specific=1) + if self.include_dirs is None: + self.include_dirs = self.distribution.include_dirs or [] + if isinstance(self.include_dirs, str): + self.include_dirs = self.include_dirs.split(os.pathsep) + + # If in a virtualenv, add its include directory + # Issue 16116 + if sys.exec_prefix != sys.base_exec_prefix: + self.include_dirs.append(os.path.join(sys.exec_prefix, 'include')) + + # Put the Python "system" include dir at the end, so that + # any local include dirs take precedence. + self.include_dirs.extend(py_include.split(os.path.pathsep)) + if plat_py_include != py_include: + self.include_dirs.extend( + plat_py_include.split(os.path.pathsep)) + + self.ensure_string_list('libraries') + self.ensure_string_list('link_objects') + + # Life is easier if we're not forever checking for None, so + # simplify these options to empty lists if unset + if self.libraries is None: + self.libraries = [] + if self.library_dirs is None: + self.library_dirs = [] + elif isinstance(self.library_dirs, str): + self.library_dirs = self.library_dirs.split(os.pathsep) + + if self.rpath is None: + self.rpath = [] + elif isinstance(self.rpath, str): + self.rpath = self.rpath.split(os.pathsep) + + # for extensions under windows use different directories + # for Release and Debug builds. + # also Python's library directory must be appended to library_dirs + if os.name == 'nt': + # the 'libs' directory is for binary installs - we assume that + # must be the *native* platform. But we don't really support + # cross-compiling via a binary install anyway, so we let it go. + self.library_dirs.append(os.path.join(sys.exec_prefix, 'libs')) + if sys.base_exec_prefix != sys.prefix: # Issue 16116 + self.library_dirs.append(os.path.join(sys.base_exec_prefix, 'libs')) + if self.debug: + self.build_temp = os.path.join(self.build_temp, "Debug") + else: + self.build_temp = os.path.join(self.build_temp, "Release") + + # Append the source distribution include and library directories, + # this allows distutils on windows to work in the source tree + self.include_dirs.append(os.path.dirname(get_config_h_filename())) + _sys_home = getattr(sys, '_home', None) + if _sys_home: + self.library_dirs.append(_sys_home) + + # Use the .lib files for the correct architecture + if self.plat_name == 'win32': + suffix = 'win32' + else: + # win-amd64 + suffix = self.plat_name[4:] + new_lib = os.path.join(sys.exec_prefix, 'PCbuild') + if suffix: + new_lib = os.path.join(new_lib, suffix) + self.library_dirs.append(new_lib) + + # For extensions under Cygwin, Python's library directory must be + # appended to library_dirs + if sys.platform[:6] == 'cygwin': + if sys.executable.startswith(os.path.join(sys.exec_prefix, "bin")): + # building third party extensions + self.library_dirs.append(os.path.join(sys.prefix, "lib", + "python" + get_python_version(), + "config")) + else: + # building python standard extensions + self.library_dirs.append('.') + + # For building extensions with a shared Python library, + # Python's library directory must be appended to library_dirs + # See Issues: #1600860, #4366 + if (sysconfig.get_config_var('Py_ENABLE_SHARED')): + if not sysconfig.python_build: + # building third party extensions + self.library_dirs.append(sysconfig.get_config_var('LIBDIR')) + else: + # building python standard extensions + self.library_dirs.append('.') + + # The argument parsing will result in self.define being a string, but + # it has to be a list of 2-tuples. All the preprocessor symbols + # specified by the 'define' option will be set to '1'. Multiple + # symbols can be separated with commas. + + if self.define: + defines = self.define.split(',') + self.define = [(symbol, '1') for symbol in defines] + + # The option for macros to undefine is also a string from the + # option parsing, but has to be a list. Multiple symbols can also + # be separated with commas here. + if self.undef: + self.undef = self.undef.split(',') + + if self.swig_opts is None: + self.swig_opts = [] + else: + self.swig_opts = self.swig_opts.split(' ') + + # Finally add the user include and library directories if requested + if self.user: + user_include = os.path.join(USER_BASE, "include") + user_lib = os.path.join(USER_BASE, "lib") + if os.path.isdir(user_include): + self.include_dirs.append(user_include) + if os.path.isdir(user_lib): + self.library_dirs.append(user_lib) + self.rpath.append(user_lib) + + if isinstance(self.parallel, str): + try: + self.parallel = int(self.parallel) + except ValueError: + raise DistutilsOptionError("parallel should be an integer") + + def run(self): + from distutils.ccompiler import new_compiler + + # 'self.extensions', as supplied by setup.py, is a list of + # Extension instances. See the documentation for Extension (in + # distutils.extension) for details. + # + # For backwards compatibility with Distutils 0.8.2 and earlier, we + # also allow the 'extensions' list to be a list of tuples: + # (ext_name, build_info) + # where build_info is a dictionary containing everything that + # Extension instances do except the name, with a few things being + # differently named. We convert these 2-tuples to Extension + # instances as needed. + + if not self.extensions: + return + + # If we were asked to build any C/C++ libraries, make sure that the + # directory where we put them is in the library search path for + # linking extensions. + if self.distribution.has_c_libraries(): + build_clib = self.get_finalized_command('build_clib') + self.libraries.extend(build_clib.get_library_names() or []) + self.library_dirs.append(build_clib.build_clib) + + # Setup the CCompiler object that we'll use to do all the + # compiling and linking + self.compiler = new_compiler(compiler=self.compiler, + verbose=self.verbose, + dry_run=self.dry_run, + force=self.force) + customize_compiler(self.compiler) + # If we are cross-compiling, init the compiler now (if we are not + # cross-compiling, init would not hurt, but people may rely on + # late initialization of compiler even if they shouldn't...) + if os.name == 'nt' and self.plat_name != get_platform(): + self.compiler.initialize(self.plat_name) + + # And make sure that any compile/link-related options (which might + # come from the command-line or from the setup script) are set in + # that CCompiler object -- that way, they automatically apply to + # all compiling and linking done here. + if self.include_dirs is not None: + self.compiler.set_include_dirs(self.include_dirs) + if self.define is not None: + # 'define' option is a list of (name,value) tuples + for (name, value) in self.define: + self.compiler.define_macro(name, value) + if self.undef is not None: + for macro in self.undef: + self.compiler.undefine_macro(macro) + if self.libraries is not None: + self.compiler.set_libraries(self.libraries) + if self.library_dirs is not None: + self.compiler.set_library_dirs(self.library_dirs) + if self.rpath is not None: + self.compiler.set_runtime_library_dirs(self.rpath) + if self.link_objects is not None: + self.compiler.set_link_objects(self.link_objects) + + # Now actually compile and link everything. + self.build_extensions() + + def check_extensions_list(self, extensions): + """Ensure that the list of extensions (presumably provided as a + command option 'extensions') is valid, i.e. it is a list of + Extension objects. We also support the old-style list of 2-tuples, + where the tuples are (ext_name, build_info), which are converted to + Extension instances here. + + Raise DistutilsSetupError if the structure is invalid anywhere; + just returns otherwise. + """ + if not isinstance(extensions, list): + raise DistutilsSetupError( + "'ext_modules' option must be a list of Extension instances") + + for i, ext in enumerate(extensions): + if isinstance(ext, Extension): + continue # OK! (assume type-checking done + # by Extension constructor) + + if not isinstance(ext, tuple) or len(ext) != 2: + raise DistutilsSetupError( + "each element of 'ext_modules' option must be an " + "Extension instance or 2-tuple") + + ext_name, build_info = ext + + log.warn("old-style (ext_name, build_info) tuple found in " + "ext_modules for extension '%s' " + "-- please convert to Extension instance", ext_name) + + if not (isinstance(ext_name, str) and + extension_name_re.match(ext_name)): + raise DistutilsSetupError( + "first element of each tuple in 'ext_modules' " + "must be the extension name (a string)") + + if not isinstance(build_info, dict): + raise DistutilsSetupError( + "second element of each tuple in 'ext_modules' " + "must be a dictionary (build info)") + + # OK, the (ext_name, build_info) dict is type-safe: convert it + # to an Extension instance. + ext = Extension(ext_name, build_info['sources']) + + # Easy stuff: one-to-one mapping from dict elements to + # instance attributes. + for key in ('include_dirs', 'library_dirs', 'libraries', + 'extra_objects', 'extra_compile_args', + 'extra_link_args'): + val = build_info.get(key) + if val is not None: + setattr(ext, key, val) + + # Medium-easy stuff: same syntax/semantics, different names. + ext.runtime_library_dirs = build_info.get('rpath') + if 'def_file' in build_info: + log.warn("'def_file' element of build info dict " + "no longer supported") + + # Non-trivial stuff: 'macros' split into 'define_macros' + # and 'undef_macros'. + macros = build_info.get('macros') + if macros: + ext.define_macros = [] + ext.undef_macros = [] + for macro in macros: + if not (isinstance(macro, tuple) and len(macro) in (1, 2)): + raise DistutilsSetupError( + "'macros' element of build info dict " + "must be 1- or 2-tuple") + if len(macro) == 1: + ext.undef_macros.append(macro[0]) + elif len(macro) == 2: + ext.define_macros.append(macro) + + extensions[i] = ext + + def get_source_files(self): + self.check_extensions_list(self.extensions) + filenames = [] + + # Wouldn't it be neat if we knew the names of header files too... + for ext in self.extensions: + filenames.extend(ext.sources) + return filenames + + def get_outputs(self): + # Sanity check the 'extensions' list -- can't assume this is being + # done in the same run as a 'build_extensions()' call (in fact, we + # can probably assume that it *isn't*!). + self.check_extensions_list(self.extensions) + + # And build the list of output (built) filenames. Note that this + # ignores the 'inplace' flag, and assumes everything goes in the + # "build" tree. + outputs = [] + for ext in self.extensions: + outputs.append(self.get_ext_fullpath(ext.name)) + return outputs + + def build_extensions(self): + # First, sanity-check the 'extensions' list + self.check_extensions_list(self.extensions) + if self.parallel: + self._build_extensions_parallel() + else: + self._build_extensions_serial() + + def _build_extensions_parallel(self): + workers = self.parallel + if self.parallel is True: + workers = os.cpu_count() # may return None + try: + from concurrent.futures import ThreadPoolExecutor + except ImportError: + workers = None + + if workers is None: + self._build_extensions_serial() + return + + with ThreadPoolExecutor(max_workers=workers) as executor: + futures = [executor.submit(self.build_extension, ext) + for ext in self.extensions] + for ext, fut in zip(self.extensions, futures): + with self._filter_build_errors(ext): + fut.result() + + def _build_extensions_serial(self): + for ext in self.extensions: + with self._filter_build_errors(ext): + self.build_extension(ext) + + @contextlib.contextmanager + def _filter_build_errors(self, ext): + try: + yield + except (CCompilerError, DistutilsError, CompileError) as e: + if not ext.optional: + raise + self.warn('building extension "%s" failed: %s' % + (ext.name, e)) + + def build_extension(self, ext): + sources = ext.sources + if sources is None or not isinstance(sources, (list, tuple)): + raise DistutilsSetupError( + "in 'ext_modules' option (extension '%s'), " + "'sources' must be present and must be " + "a list of source filenames" % ext.name) + # sort to make the resulting .so file build reproducible + sources = sorted(sources) + + ext_path = self.get_ext_fullpath(ext.name) + depends = sources + ext.depends + if not (self.force or newer_group(depends, ext_path, 'newer')): + log.debug("skipping '%s' extension (up-to-date)", ext.name) + return + else: + log.info("building '%s' extension", ext.name) + + # First, scan the sources for SWIG definition files (.i), run + # SWIG on 'em to create .c files, and modify the sources list + # accordingly. + sources = self.swig_sources(sources, ext) + + # Next, compile the source code to object files. + + # XXX not honouring 'define_macros' or 'undef_macros' -- the + # CCompiler API needs to change to accommodate this, and I + # want to do one thing at a time! + + # Two possible sources for extra compiler arguments: + # - 'extra_compile_args' in Extension object + # - CFLAGS environment variable (not particularly + # elegant, but people seem to expect it and I + # guess it's useful) + # The environment variable should take precedence, and + # any sensible compiler will give precedence to later + # command line args. Hence we combine them in order: + extra_args = ext.extra_compile_args or [] + + macros = ext.define_macros[:] + for undef in ext.undef_macros: + macros.append((undef,)) + + objects = self.compiler.compile(sources, + output_dir=self.build_temp, + macros=macros, + include_dirs=ext.include_dirs, + debug=self.debug, + extra_postargs=extra_args, + depends=ext.depends) + + # XXX outdated variable, kept here in case third-part code + # needs it. + self._built_objects = objects[:] + + # Now link the object files together into a "shared object" -- + # of course, first we have to figure out all the other things + # that go into the mix. + if ext.extra_objects: + objects.extend(ext.extra_objects) + extra_args = ext.extra_link_args or [] + + # Detect target language, if not provided + language = ext.language or self.compiler.detect_language(sources) + + self.compiler.link_shared_object( + objects, ext_path, + libraries=self.get_libraries(ext), + library_dirs=ext.library_dirs, + runtime_library_dirs=ext.runtime_library_dirs, + extra_postargs=extra_args, + export_symbols=self.get_export_symbols(ext), + debug=self.debug, + build_temp=self.build_temp, + target_lang=language) + + def swig_sources(self, sources, extension): + """Walk the list of source files in 'sources', looking for SWIG + interface (.i) files. Run SWIG on all that are found, and + return a modified 'sources' list with SWIG source files replaced + by the generated C (or C++) files. + """ + new_sources = [] + swig_sources = [] + swig_targets = {} + + # XXX this drops generated C/C++ files into the source tree, which + # is fine for developers who want to distribute the generated + # source -- but there should be an option to put SWIG output in + # the temp dir. + + if self.swig_cpp: + log.warn("--swig-cpp is deprecated - use --swig-opts=-c++") + + if self.swig_cpp or ('-c++' in self.swig_opts) or \ + ('-c++' in extension.swig_opts): + target_ext = '.cpp' + else: + target_ext = '.c' + + for source in sources: + (base, ext) = os.path.splitext(source) + if ext == ".i": # SWIG interface file + new_sources.append(base + '_wrap' + target_ext) + swig_sources.append(source) + swig_targets[source] = new_sources[-1] + else: + new_sources.append(source) + + if not swig_sources: + return new_sources + + swig = self.swig or self.find_swig() + swig_cmd = [swig, "-python"] + swig_cmd.extend(self.swig_opts) + if self.swig_cpp: + swig_cmd.append("-c++") + + # Do not override commandline arguments + if not self.swig_opts: + for o in extension.swig_opts: + swig_cmd.append(o) + + for source in swig_sources: + target = swig_targets[source] + log.info("swigging %s to %s", source, target) + self.spawn(swig_cmd + ["-o", target, source]) + + return new_sources + + def find_swig(self): + """Return the name of the SWIG executable. On Unix, this is + just "swig" -- it should be in the PATH. Tries a bit harder on + Windows. + """ + if os.name == "posix": + return "swig" + elif os.name == "nt": + # Look for SWIG in its standard installation directory on + # Windows (or so I presume!). If we find it there, great; + # if not, act like Unix and assume it's in the PATH. + for vers in ("1.3", "1.2", "1.1"): + fn = os.path.join("c:\\swig%s" % vers, "swig.exe") + if os.path.isfile(fn): + return fn + else: + return "swig.exe" + else: + raise DistutilsPlatformError( + "I don't know how to find (much less run) SWIG " + "on platform '%s'" % os.name) + + # -- Name generators ----------------------------------------------- + # (extension names, filenames, whatever) + def get_ext_fullpath(self, ext_name): + """Returns the path of the filename for a given extension. + + The file is located in `build_lib` or directly in the package + (inplace option). + """ + fullname = self.get_ext_fullname(ext_name) + modpath = fullname.split('.') + filename = self.get_ext_filename(modpath[-1]) + + if not self.inplace: + # no further work needed + # returning : + # build_dir/package/path/filename + filename = os.path.join(*modpath[:-1]+[filename]) + return os.path.join(self.build_lib, filename) + + # the inplace option requires to find the package directory + # using the build_py command for that + package = '.'.join(modpath[0:-1]) + build_py = self.get_finalized_command('build_py') + package_dir = os.path.abspath(build_py.get_package_dir(package)) + + # returning + # package_dir/filename + return os.path.join(package_dir, filename) + + def get_ext_fullname(self, ext_name): + """Returns the fullname of a given extension name. + + Adds the `package.` prefix""" + if self.package is None: + return ext_name + else: + return self.package + '.' + ext_name + + def get_ext_filename(self, ext_name): + r"""Convert the name of an extension (eg. "foo.bar") into the name + of the file from which it will be loaded (eg. "foo/bar.so", or + "foo\bar.pyd"). + """ + from distutils.sysconfig import get_config_var + ext_path = ext_name.split('.') + ext_suffix = get_config_var('EXT_SUFFIX') + return os.path.join(*ext_path) + ext_suffix + + def get_export_symbols(self, ext): + """Return the list of symbols that a shared extension has to + export. This either uses 'ext.export_symbols' or, if it's not + provided, "PyInit_" + module_name. Only relevant on Windows, where + the .pyd file (DLL) must export the module "PyInit_" function. + """ + suffix = '_' + ext.name.split('.')[-1] + try: + # Unicode module name support as defined in PEP-489 + # https://www.python.org/dev/peps/pep-0489/#export-hook-name + suffix.encode('ascii') + except UnicodeEncodeError: + suffix = 'U' + suffix.encode('punycode').replace(b'-', b'_').decode('ascii') + + initfunc_name = "PyInit" + suffix + if initfunc_name not in ext.export_symbols: + ext.export_symbols.append(initfunc_name) + return ext.export_symbols + + def get_libraries(self, ext): + """Return the list of libraries to link against when building a + shared extension. On most platforms, this is just 'ext.libraries'; + on Windows, we add the Python library (eg. python20.dll). + """ + # The python library is always needed on Windows. For MSVC, this + # is redundant, since the library is mentioned in a pragma in + # pyconfig.h that MSVC groks. The other Windows compilers all seem + # to need it mentioned explicitly, though, so that's what we do. + # Append '_d' to the python import library on debug builds. + if sys.platform == "win32": + from distutils._msvccompiler import MSVCCompiler + if not isinstance(self.compiler, MSVCCompiler): + template = "python%d%d" + if self.debug: + template = template + '_d' + pythonlib = (template % + (sys.hexversion >> 24, (sys.hexversion >> 16) & 0xff)) + # don't extend ext.libraries, it may be shared with other + # extensions, it is a reference to the original list + return ext.libraries + [pythonlib] + else: + # On Android only the main executable and LD_PRELOADs are considered + # to be RTLD_GLOBAL, all the dependencies of the main executable + # remain RTLD_LOCAL and so the shared libraries must be linked with + # libpython when python is built with a shared python library (issue + # bpo-21536). + # On Cygwin (and if required, other POSIX-like platforms based on + # Windows like MinGW) it is simply necessary that all symbols in + # shared libraries are resolved at link time. + from distutils.sysconfig import get_config_var + link_libpython = False + if get_config_var('Py_ENABLE_SHARED'): + # A native build on an Android device or on Cygwin + if hasattr(sys, 'getandroidapilevel'): + link_libpython = True + elif sys.platform == 'cygwin': + link_libpython = True + elif '_PYTHON_HOST_PLATFORM' in os.environ: + # We are cross-compiling for one of the relevant platforms + if get_config_var('ANDROID_API_LEVEL') != 0: + link_libpython = True + elif get_config_var('MACHDEP') == 'cygwin': + link_libpython = True + + if link_libpython: + ldversion = get_config_var('LDVERSION') + return ext.libraries + ['python' + ldversion] + + return ext.libraries diff --git a/llava/lib/python3.10/distutils/command/build_py.py b/llava/lib/python3.10/distutils/command/build_py.py new file mode 100644 index 0000000000000000000000000000000000000000..edc2171cd122dda26a96a2770d2cfa69ccab417b --- /dev/null +++ b/llava/lib/python3.10/distutils/command/build_py.py @@ -0,0 +1,416 @@ +"""distutils.command.build_py + +Implements the Distutils 'build_py' command.""" + +import os +import importlib.util +import sys +import glob + +from distutils.core import Command +from distutils.errors import * +from distutils.util import convert_path, Mixin2to3 +from distutils import log + +class build_py (Command): + + description = "\"build\" pure Python modules (copy to build directory)" + + user_options = [ + ('build-lib=', 'd', "directory to \"build\" (copy) to"), + ('compile', 'c', "compile .py to .pyc"), + ('no-compile', None, "don't compile .py files [default]"), + ('optimize=', 'O', + "also compile with optimization: -O1 for \"python -O\", " + "-O2 for \"python -OO\", and -O0 to disable [default: -O0]"), + ('force', 'f', "forcibly build everything (ignore file timestamps)"), + ] + + boolean_options = ['compile', 'force'] + negative_opt = {'no-compile' : 'compile'} + + def initialize_options(self): + self.build_lib = None + self.py_modules = None + self.package = None + self.package_data = None + self.package_dir = None + self.compile = 0 + self.optimize = 0 + self.force = None + + def finalize_options(self): + self.set_undefined_options('build', + ('build_lib', 'build_lib'), + ('force', 'force')) + + # Get the distribution options that are aliases for build_py + # options -- list of packages and list of modules. + self.packages = self.distribution.packages + self.py_modules = self.distribution.py_modules + self.package_data = self.distribution.package_data + self.package_dir = {} + if self.distribution.package_dir: + for name, path in self.distribution.package_dir.items(): + self.package_dir[name] = convert_path(path) + self.data_files = self.get_data_files() + + # Ick, copied straight from install_lib.py (fancy_getopt needs a + # type system! Hell, *everything* needs a type system!!!) + if not isinstance(self.optimize, int): + try: + self.optimize = int(self.optimize) + assert 0 <= self.optimize <= 2 + except (ValueError, AssertionError): + raise DistutilsOptionError("optimize must be 0, 1, or 2") + + def run(self): + # XXX copy_file by default preserves atime and mtime. IMHO this is + # the right thing to do, but perhaps it should be an option -- in + # particular, a site administrator might want installed files to + # reflect the time of installation rather than the last + # modification time before the installed release. + + # XXX copy_file by default preserves mode, which appears to be the + # wrong thing to do: if a file is read-only in the working + # directory, we want it to be installed read/write so that the next + # installation of the same module distribution can overwrite it + # without problems. (This might be a Unix-specific issue.) Thus + # we turn off 'preserve_mode' when copying to the build directory, + # since the build directory is supposed to be exactly what the + # installation will look like (ie. we preserve mode when + # installing). + + # Two options control which modules will be installed: 'packages' + # and 'py_modules'. The former lets us work with whole packages, not + # specifying individual modules at all; the latter is for + # specifying modules one-at-a-time. + + if self.py_modules: + self.build_modules() + if self.packages: + self.build_packages() + self.build_package_data() + + self.byte_compile(self.get_outputs(include_bytecode=0)) + + def get_data_files(self): + """Generate list of '(package,src_dir,build_dir,filenames)' tuples""" + data = [] + if not self.packages: + return data + for package in self.packages: + # Locate package source directory + src_dir = self.get_package_dir(package) + + # Compute package build directory + build_dir = os.path.join(*([self.build_lib] + package.split('.'))) + + # Length of path to strip from found files + plen = 0 + if src_dir: + plen = len(src_dir)+1 + + # Strip directory from globbed filenames + filenames = [ + file[plen:] for file in self.find_data_files(package, src_dir) + ] + data.append((package, src_dir, build_dir, filenames)) + return data + + def find_data_files(self, package, src_dir): + """Return filenames for package's data files in 'src_dir'""" + globs = (self.package_data.get('', []) + + self.package_data.get(package, [])) + files = [] + for pattern in globs: + # Each pattern has to be converted to a platform-specific path + filelist = glob.glob(os.path.join(glob.escape(src_dir), convert_path(pattern))) + # Files that match more than one pattern are only added once + files.extend([fn for fn in filelist if fn not in files + and os.path.isfile(fn)]) + return files + + def build_package_data(self): + """Copy data files into build directory""" + lastdir = None + for package, src_dir, build_dir, filenames in self.data_files: + for filename in filenames: + target = os.path.join(build_dir, filename) + self.mkpath(os.path.dirname(target)) + self.copy_file(os.path.join(src_dir, filename), target, + preserve_mode=False) + + def get_package_dir(self, package): + """Return the directory, relative to the top of the source + distribution, where package 'package' should be found + (at least according to the 'package_dir' option, if any).""" + path = package.split('.') + + if not self.package_dir: + if path: + return os.path.join(*path) + else: + return '' + else: + tail = [] + while path: + try: + pdir = self.package_dir['.'.join(path)] + except KeyError: + tail.insert(0, path[-1]) + del path[-1] + else: + tail.insert(0, pdir) + return os.path.join(*tail) + else: + # Oops, got all the way through 'path' without finding a + # match in package_dir. If package_dir defines a directory + # for the root (nameless) package, then fallback on it; + # otherwise, we might as well have not consulted + # package_dir at all, as we just use the directory implied + # by 'tail' (which should be the same as the original value + # of 'path' at this point). + pdir = self.package_dir.get('') + if pdir is not None: + tail.insert(0, pdir) + + if tail: + return os.path.join(*tail) + else: + return '' + + def check_package(self, package, package_dir): + # Empty dir name means current directory, which we can probably + # assume exists. Also, os.path.exists and isdir don't know about + # my "empty string means current dir" convention, so we have to + # circumvent them. + if package_dir != "": + if not os.path.exists(package_dir): + raise DistutilsFileError( + "package directory '%s' does not exist" % package_dir) + if not os.path.isdir(package_dir): + raise DistutilsFileError( + "supposed package directory '%s' exists, " + "but is not a directory" % package_dir) + + # Require __init__.py for all but the "root package" + if package: + init_py = os.path.join(package_dir, "__init__.py") + if os.path.isfile(init_py): + return init_py + else: + log.warn(("package init file '%s' not found " + + "(or not a regular file)"), init_py) + + # Either not in a package at all (__init__.py not expected), or + # __init__.py doesn't exist -- so don't return the filename. + return None + + def check_module(self, module, module_file): + if not os.path.isfile(module_file): + log.warn("file %s (for module %s) not found", module_file, module) + return False + else: + return True + + def find_package_modules(self, package, package_dir): + self.check_package(package, package_dir) + module_files = glob.glob(os.path.join(glob.escape(package_dir), "*.py")) + modules = [] + setup_script = os.path.abspath(self.distribution.script_name) + + for f in module_files: + abs_f = os.path.abspath(f) + if abs_f != setup_script: + module = os.path.splitext(os.path.basename(f))[0] + modules.append((package, module, f)) + else: + self.debug_print("excluding %s" % setup_script) + return modules + + def find_modules(self): + """Finds individually-specified Python modules, ie. those listed by + module name in 'self.py_modules'. Returns a list of tuples (package, + module_base, filename): 'package' is a tuple of the path through + package-space to the module; 'module_base' is the bare (no + packages, no dots) module name, and 'filename' is the path to the + ".py" file (relative to the distribution root) that implements the + module. + """ + # Map package names to tuples of useful info about the package: + # (package_dir, checked) + # package_dir - the directory where we'll find source files for + # this package + # checked - true if we have checked that the package directory + # is valid (exists, contains __init__.py, ... ?) + packages = {} + + # List of (package, module, filename) tuples to return + modules = [] + + # We treat modules-in-packages almost the same as toplevel modules, + # just the "package" for a toplevel is empty (either an empty + # string or empty list, depending on context). Differences: + # - don't check for __init__.py in directory for empty package + for module in self.py_modules: + path = module.split('.') + package = '.'.join(path[0:-1]) + module_base = path[-1] + + try: + (package_dir, checked) = packages[package] + except KeyError: + package_dir = self.get_package_dir(package) + checked = 0 + + if not checked: + init_py = self.check_package(package, package_dir) + packages[package] = (package_dir, 1) + if init_py: + modules.append((package, "__init__", init_py)) + + # XXX perhaps we should also check for just .pyc files + # (so greedy closed-source bastards can distribute Python + # modules too) + module_file = os.path.join(package_dir, module_base + ".py") + if not self.check_module(module, module_file): + continue + + modules.append((package, module_base, module_file)) + + return modules + + def find_all_modules(self): + """Compute the list of all modules that will be built, whether + they are specified one-module-at-a-time ('self.py_modules') or + by whole packages ('self.packages'). Return a list of tuples + (package, module, module_file), just like 'find_modules()' and + 'find_package_modules()' do.""" + modules = [] + if self.py_modules: + modules.extend(self.find_modules()) + if self.packages: + for package in self.packages: + package_dir = self.get_package_dir(package) + m = self.find_package_modules(package, package_dir) + modules.extend(m) + return modules + + def get_source_files(self): + return [module[-1] for module in self.find_all_modules()] + + def get_module_outfile(self, build_dir, package, module): + outfile_path = [build_dir] + list(package) + [module + ".py"] + return os.path.join(*outfile_path) + + def get_outputs(self, include_bytecode=1): + modules = self.find_all_modules() + outputs = [] + for (package, module, module_file) in modules: + package = package.split('.') + filename = self.get_module_outfile(self.build_lib, package, module) + outputs.append(filename) + if include_bytecode: + if self.compile: + outputs.append(importlib.util.cache_from_source( + filename, optimization='')) + if self.optimize > 0: + outputs.append(importlib.util.cache_from_source( + filename, optimization=self.optimize)) + + outputs += [ + os.path.join(build_dir, filename) + for package, src_dir, build_dir, filenames in self.data_files + for filename in filenames + ] + + return outputs + + def build_module(self, module, module_file, package): + if isinstance(package, str): + package = package.split('.') + elif not isinstance(package, (list, tuple)): + raise TypeError( + "'package' must be a string (dot-separated), list, or tuple") + + # Now put the module source file into the "build" area -- this is + # easy, we just copy it somewhere under self.build_lib (the build + # directory for Python source). + outfile = self.get_module_outfile(self.build_lib, package, module) + dir = os.path.dirname(outfile) + self.mkpath(dir) + return self.copy_file(module_file, outfile, preserve_mode=0) + + def build_modules(self): + modules = self.find_modules() + for (package, module, module_file) in modules: + # Now "build" the module -- ie. copy the source file to + # self.build_lib (the build directory for Python source). + # (Actually, it gets copied to the directory for this package + # under self.build_lib.) + self.build_module(module, module_file, package) + + def build_packages(self): + for package in self.packages: + # Get list of (package, module, module_file) tuples based on + # scanning the package directory. 'package' is only included + # in the tuple so that 'find_modules()' and + # 'find_package_tuples()' have a consistent interface; it's + # ignored here (apart from a sanity check). Also, 'module' is + # the *unqualified* module name (ie. no dots, no package -- we + # already know its package!), and 'module_file' is the path to + # the .py file, relative to the current directory + # (ie. including 'package_dir'). + package_dir = self.get_package_dir(package) + modules = self.find_package_modules(package, package_dir) + + # Now loop over the modules we found, "building" each one (just + # copy it to self.build_lib). + for (package_, module, module_file) in modules: + assert package == package_ + self.build_module(module, module_file, package) + + def byte_compile(self, files): + if sys.dont_write_bytecode: + self.warn('byte-compiling is disabled, skipping.') + return + + from distutils.util import byte_compile + prefix = self.build_lib + if prefix[-1] != os.sep: + prefix = prefix + os.sep + + # XXX this code is essentially the same as the 'byte_compile() + # method of the "install_lib" command, except for the determination + # of the 'prefix' string. Hmmm. + if self.compile: + byte_compile(files, optimize=0, + force=self.force, prefix=prefix, dry_run=self.dry_run) + if self.optimize > 0: + byte_compile(files, optimize=self.optimize, + force=self.force, prefix=prefix, dry_run=self.dry_run) + +class build_py_2to3(build_py, Mixin2to3): + def run(self): + self.updated_files = [] + + # Base class code + if self.py_modules: + self.build_modules() + if self.packages: + self.build_packages() + self.build_package_data() + + # 2to3 + self.run_2to3(self.updated_files) + + # Remaining base class code + self.byte_compile(self.get_outputs(include_bytecode=0)) + + def build_module(self, module, module_file, package): + res = build_py.build_module(self, module, module_file, package) + if res[1]: + # file was copied + self.updated_files.append(res[0]) + return res diff --git a/llava/lib/python3.10/distutils/command/clean.py b/llava/lib/python3.10/distutils/command/clean.py new file mode 100644 index 0000000000000000000000000000000000000000..0cb270166211fe2b24b6ec636f632a77a5ca6b8f --- /dev/null +++ b/llava/lib/python3.10/distutils/command/clean.py @@ -0,0 +1,76 @@ +"""distutils.command.clean + +Implements the Distutils 'clean' command.""" + +# contributed by Bastian Kleineidam , added 2000-03-18 + +import os +from distutils.core import Command +from distutils.dir_util import remove_tree +from distutils import log + +class clean(Command): + + description = "clean up temporary files from 'build' command" + user_options = [ + ('build-base=', 'b', + "base build directory (default: 'build.build-base')"), + ('build-lib=', None, + "build directory for all modules (default: 'build.build-lib')"), + ('build-temp=', 't', + "temporary build directory (default: 'build.build-temp')"), + ('build-scripts=', None, + "build directory for scripts (default: 'build.build-scripts')"), + ('bdist-base=', None, + "temporary directory for built distributions"), + ('all', 'a', + "remove all build output, not just temporary by-products") + ] + + boolean_options = ['all'] + + def initialize_options(self): + self.build_base = None + self.build_lib = None + self.build_temp = None + self.build_scripts = None + self.bdist_base = None + self.all = None + + def finalize_options(self): + self.set_undefined_options('build', + ('build_base', 'build_base'), + ('build_lib', 'build_lib'), + ('build_scripts', 'build_scripts'), + ('build_temp', 'build_temp')) + self.set_undefined_options('bdist', + ('bdist_base', 'bdist_base')) + + def run(self): + # remove the build/temp. directory (unless it's already + # gone) + if os.path.exists(self.build_temp): + remove_tree(self.build_temp, dry_run=self.dry_run) + else: + log.debug("'%s' does not exist -- can't clean it", + self.build_temp) + + if self.all: + # remove build directories + for directory in (self.build_lib, + self.bdist_base, + self.build_scripts): + if os.path.exists(directory): + remove_tree(directory, dry_run=self.dry_run) + else: + log.warn("'%s' does not exist -- can't clean it", + directory) + + # just for the heck of it, try to remove the base build directory: + # we might have emptied it right now, but if not we don't care + if not self.dry_run: + try: + os.rmdir(self.build_base) + log.info("removing '%s'", self.build_base) + except OSError: + pass diff --git a/llava/lib/python3.10/distutils/command/command_template b/llava/lib/python3.10/distutils/command/command_template new file mode 100644 index 0000000000000000000000000000000000000000..6106819db843b5d93e85c4ee6929825d45c2f08a --- /dev/null +++ b/llava/lib/python3.10/distutils/command/command_template @@ -0,0 +1,33 @@ +"""distutils.command.x + +Implements the Distutils 'x' command. +""" + +# created 2000/mm/dd, John Doe + +__revision__ = "$Id$" + +from distutils.core import Command + + +class x(Command): + + # Brief (40-50 characters) description of the command + description = "" + + # List of option tuples: long name, short name (None if no short + # name), and help string. + user_options = [('', '', + ""), + ] + + def initialize_options(self): + self. = None + self. = None + self. = None + + def finalize_options(self): + if self.x is None: + self.x = + + def run(self): diff --git a/llava/lib/python3.10/distutils/command/config.py b/llava/lib/python3.10/distutils/command/config.py new file mode 100644 index 0000000000000000000000000000000000000000..aeda408e731979bf5884e4830fed142a70bfb25e --- /dev/null +++ b/llava/lib/python3.10/distutils/command/config.py @@ -0,0 +1,344 @@ +"""distutils.command.config + +Implements the Distutils 'config' command, a (mostly) empty command class +that exists mainly to be sub-classed by specific module distributions and +applications. The idea is that while every "config" command is different, +at least they're all named the same, and users always see "config" in the +list of standard commands. Also, this is a good place to put common +configure-like tasks: "try to compile this C code", or "figure out where +this header file lives". +""" + +import os, re + +from distutils.core import Command +from distutils.errors import DistutilsExecError +from distutils.sysconfig import customize_compiler +from distutils import log + +LANG_EXT = {"c": ".c", "c++": ".cxx"} + +class config(Command): + + description = "prepare to build" + + user_options = [ + ('compiler=', None, + "specify the compiler type"), + ('cc=', None, + "specify the compiler executable"), + ('include-dirs=', 'I', + "list of directories to search for header files"), + ('define=', 'D', + "C preprocessor macros to define"), + ('undef=', 'U', + "C preprocessor macros to undefine"), + ('libraries=', 'l', + "external C libraries to link with"), + ('library-dirs=', 'L', + "directories to search for external C libraries"), + + ('noisy', None, + "show every action (compile, link, run, ...) taken"), + ('dump-source', None, + "dump generated source files before attempting to compile them"), + ] + + + # The three standard command methods: since the "config" command + # does nothing by default, these are empty. + + def initialize_options(self): + self.compiler = None + self.cc = None + self.include_dirs = None + self.libraries = None + self.library_dirs = None + + # maximal output for now + self.noisy = 1 + self.dump_source = 1 + + # list of temporary files generated along-the-way that we have + # to clean at some point + self.temp_files = [] + + def finalize_options(self): + if self.include_dirs is None: + self.include_dirs = self.distribution.include_dirs or [] + elif isinstance(self.include_dirs, str): + self.include_dirs = self.include_dirs.split(os.pathsep) + + if self.libraries is None: + self.libraries = [] + elif isinstance(self.libraries, str): + self.libraries = [self.libraries] + + if self.library_dirs is None: + self.library_dirs = [] + elif isinstance(self.library_dirs, str): + self.library_dirs = self.library_dirs.split(os.pathsep) + + def run(self): + pass + + # Utility methods for actual "config" commands. The interfaces are + # loosely based on Autoconf macros of similar names. Sub-classes + # may use these freely. + + def _check_compiler(self): + """Check that 'self.compiler' really is a CCompiler object; + if not, make it one. + """ + # We do this late, and only on-demand, because this is an expensive + # import. + from distutils.ccompiler import CCompiler, new_compiler + if not isinstance(self.compiler, CCompiler): + self.compiler = new_compiler(compiler=self.compiler, + dry_run=self.dry_run, force=1) + customize_compiler(self.compiler) + if self.include_dirs: + self.compiler.set_include_dirs(self.include_dirs) + if self.libraries: + self.compiler.set_libraries(self.libraries) + if self.library_dirs: + self.compiler.set_library_dirs(self.library_dirs) + + def _gen_temp_sourcefile(self, body, headers, lang): + filename = "_configtest" + LANG_EXT[lang] + with open(filename, "w") as file: + if headers: + for header in headers: + file.write("#include <%s>\n" % header) + file.write("\n") + file.write(body) + if body[-1] != "\n": + file.write("\n") + return filename + + def _preprocess(self, body, headers, include_dirs, lang): + src = self._gen_temp_sourcefile(body, headers, lang) + out = "_configtest.i" + self.temp_files.extend([src, out]) + self.compiler.preprocess(src, out, include_dirs=include_dirs) + return (src, out) + + def _compile(self, body, headers, include_dirs, lang): + src = self._gen_temp_sourcefile(body, headers, lang) + if self.dump_source: + dump_file(src, "compiling '%s':" % src) + (obj,) = self.compiler.object_filenames([src]) + self.temp_files.extend([src, obj]) + self.compiler.compile([src], include_dirs=include_dirs) + return (src, obj) + + def _link(self, body, headers, include_dirs, libraries, library_dirs, + lang): + (src, obj) = self._compile(body, headers, include_dirs, lang) + prog = os.path.splitext(os.path.basename(src))[0] + self.compiler.link_executable([obj], prog, + libraries=libraries, + library_dirs=library_dirs, + target_lang=lang) + + if self.compiler.exe_extension is not None: + prog = prog + self.compiler.exe_extension + self.temp_files.append(prog) + + return (src, obj, prog) + + def _clean(self, *filenames): + if not filenames: + filenames = self.temp_files + self.temp_files = [] + log.info("removing: %s", ' '.join(filenames)) + for filename in filenames: + try: + os.remove(filename) + except OSError: + pass + + + # XXX these ignore the dry-run flag: what to do, what to do? even if + # you want a dry-run build, you still need some sort of configuration + # info. My inclination is to make it up to the real config command to + # consult 'dry_run', and assume a default (minimal) configuration if + # true. The problem with trying to do it here is that you'd have to + # return either true or false from all the 'try' methods, neither of + # which is correct. + + # XXX need access to the header search path and maybe default macros. + + def try_cpp(self, body=None, headers=None, include_dirs=None, lang="c"): + """Construct a source file from 'body' (a string containing lines + of C/C++ code) and 'headers' (a list of header files to include) + and run it through the preprocessor. Return true if the + preprocessor succeeded, false if there were any errors. + ('body' probably isn't of much use, but what the heck.) + """ + from distutils.ccompiler import CompileError + self._check_compiler() + ok = True + try: + self._preprocess(body, headers, include_dirs, lang) + except CompileError: + ok = False + + self._clean() + return ok + + def search_cpp(self, pattern, body=None, headers=None, include_dirs=None, + lang="c"): + """Construct a source file (just like 'try_cpp()'), run it through + the preprocessor, and return true if any line of the output matches + 'pattern'. 'pattern' should either be a compiled regex object or a + string containing a regex. If both 'body' and 'headers' are None, + preprocesses an empty file -- which can be useful to determine the + symbols the preprocessor and compiler set by default. + """ + self._check_compiler() + src, out = self._preprocess(body, headers, include_dirs, lang) + + if isinstance(pattern, str): + pattern = re.compile(pattern) + + with open(out) as file: + match = False + while True: + line = file.readline() + if line == '': + break + if pattern.search(line): + match = True + break + + self._clean() + return match + + def try_compile(self, body, headers=None, include_dirs=None, lang="c"): + """Try to compile a source file built from 'body' and 'headers'. + Return true on success, false otherwise. + """ + from distutils.ccompiler import CompileError + self._check_compiler() + try: + self._compile(body, headers, include_dirs, lang) + ok = True + except CompileError: + ok = False + + log.info(ok and "success!" or "failure.") + self._clean() + return ok + + def try_link(self, body, headers=None, include_dirs=None, libraries=None, + library_dirs=None, lang="c"): + """Try to compile and link a source file, built from 'body' and + 'headers', to executable form. Return true on success, false + otherwise. + """ + from distutils.ccompiler import CompileError, LinkError + self._check_compiler() + try: + self._link(body, headers, include_dirs, + libraries, library_dirs, lang) + ok = True + except (CompileError, LinkError): + ok = False + + log.info(ok and "success!" or "failure.") + self._clean() + return ok + + def try_run(self, body, headers=None, include_dirs=None, libraries=None, + library_dirs=None, lang="c"): + """Try to compile, link to an executable, and run a program + built from 'body' and 'headers'. Return true on success, false + otherwise. + """ + from distutils.ccompiler import CompileError, LinkError + self._check_compiler() + try: + src, obj, exe = self._link(body, headers, include_dirs, + libraries, library_dirs, lang) + self.spawn([exe]) + ok = True + except (CompileError, LinkError, DistutilsExecError): + ok = False + + log.info(ok and "success!" or "failure.") + self._clean() + return ok + + + # -- High-level methods -------------------------------------------- + # (these are the ones that are actually likely to be useful + # when implementing a real-world config command!) + + def check_func(self, func, headers=None, include_dirs=None, + libraries=None, library_dirs=None, decl=0, call=0): + """Determine if function 'func' is available by constructing a + source file that refers to 'func', and compiles and links it. + If everything succeeds, returns true; otherwise returns false. + + The constructed source file starts out by including the header + files listed in 'headers'. If 'decl' is true, it then declares + 'func' (as "int func()"); you probably shouldn't supply 'headers' + and set 'decl' true in the same call, or you might get errors about + a conflicting declarations for 'func'. Finally, the constructed + 'main()' function either references 'func' or (if 'call' is true) + calls it. 'libraries' and 'library_dirs' are used when + linking. + """ + self._check_compiler() + body = [] + if decl: + body.append("int %s ();" % func) + body.append("int main () {") + if call: + body.append(" %s();" % func) + else: + body.append(" %s;" % func) + body.append("}") + body = "\n".join(body) + "\n" + + return self.try_link(body, headers, include_dirs, + libraries, library_dirs) + + def check_lib(self, library, library_dirs=None, headers=None, + include_dirs=None, other_libraries=[]): + """Determine if 'library' is available to be linked against, + without actually checking that any particular symbols are provided + by it. 'headers' will be used in constructing the source file to + be compiled, but the only effect of this is to check if all the + header files listed are available. Any libraries listed in + 'other_libraries' will be included in the link, in case 'library' + has symbols that depend on other libraries. + """ + self._check_compiler() + return self.try_link("int main (void) { }", headers, include_dirs, + [library] + other_libraries, library_dirs) + + def check_header(self, header, include_dirs=None, library_dirs=None, + lang="c"): + """Determine if the system header file named by 'header_file' + exists and can be found by the preprocessor; return true if so, + false otherwise. + """ + return self.try_cpp(body="/* No body */", headers=[header], + include_dirs=include_dirs) + +def dump_file(filename, head=None): + """Dumps a file content into log.info. + + If head is not None, will be dumped before the file content. + """ + if head is None: + log.info('%s', filename) + else: + log.info(head) + file = open(filename) + try: + log.info(file.read()) + finally: + file.close() diff --git a/llava/lib/python3.10/distutils/command/install_headers.py b/llava/lib/python3.10/distutils/command/install_headers.py new file mode 100644 index 0000000000000000000000000000000000000000..9bb0b18dc0d809dbc03d9ca355818b3bb0af573b --- /dev/null +++ b/llava/lib/python3.10/distutils/command/install_headers.py @@ -0,0 +1,47 @@ +"""distutils.command.install_headers + +Implements the Distutils 'install_headers' command, to install C/C++ header +files to the Python include directory.""" + +from distutils.core import Command + + +# XXX force is never used +class install_headers(Command): + + description = "install C/C++ header files" + + user_options = [('install-dir=', 'd', + "directory to install header files to"), + ('force', 'f', + "force installation (overwrite existing files)"), + ] + + boolean_options = ['force'] + + def initialize_options(self): + self.install_dir = None + self.force = 0 + self.outfiles = [] + + def finalize_options(self): + self.set_undefined_options('install', + ('install_headers', 'install_dir'), + ('force', 'force')) + + + def run(self): + headers = self.distribution.headers + if not headers: + return + + self.mkpath(self.install_dir) + for header in headers: + (out, _) = self.copy_file(header, self.install_dir) + self.outfiles.append(out) + + def get_inputs(self): + return self.distribution.headers or [] + + def get_outputs(self): + return self.outfiles diff --git a/llava/lib/python3.10/distutils/command/install_lib.py b/llava/lib/python3.10/distutils/command/install_lib.py new file mode 100644 index 0000000000000000000000000000000000000000..6154cf09431f72258638a927c1e360fd42c31ff3 --- /dev/null +++ b/llava/lib/python3.10/distutils/command/install_lib.py @@ -0,0 +1,217 @@ +"""distutils.command.install_lib + +Implements the Distutils 'install_lib' command +(install all Python modules).""" + +import os +import importlib.util +import sys + +from distutils.core import Command +from distutils.errors import DistutilsOptionError + + +# Extension for Python source files. +PYTHON_SOURCE_EXTENSION = ".py" + +class install_lib(Command): + + description = "install all Python modules (extensions and pure Python)" + + # The byte-compilation options are a tad confusing. Here are the + # possible scenarios: + # 1) no compilation at all (--no-compile --no-optimize) + # 2) compile .pyc only (--compile --no-optimize; default) + # 3) compile .pyc and "opt-1" .pyc (--compile --optimize) + # 4) compile "opt-1" .pyc only (--no-compile --optimize) + # 5) compile .pyc and "opt-2" .pyc (--compile --optimize-more) + # 6) compile "opt-2" .pyc only (--no-compile --optimize-more) + # + # The UI for this is two options, 'compile' and 'optimize'. + # 'compile' is strictly boolean, and only decides whether to + # generate .pyc files. 'optimize' is three-way (0, 1, or 2), and + # decides both whether to generate .pyc files and what level of + # optimization to use. + + user_options = [ + ('install-dir=', 'd', "directory to install to"), + ('build-dir=','b', "build directory (where to install from)"), + ('force', 'f', "force installation (overwrite existing files)"), + ('compile', 'c', "compile .py to .pyc [default]"), + ('no-compile', None, "don't compile .py files"), + ('optimize=', 'O', + "also compile with optimization: -O1 for \"python -O\", " + "-O2 for \"python -OO\", and -O0 to disable [default: -O0]"), + ('skip-build', None, "skip the build steps"), + ] + + boolean_options = ['force', 'compile', 'skip-build'] + negative_opt = {'no-compile' : 'compile'} + + def initialize_options(self): + # let the 'install' command dictate our installation directory + self.install_dir = None + self.build_dir = None + self.force = 0 + self.compile = None + self.optimize = None + self.skip_build = None + + def finalize_options(self): + # Get all the information we need to install pure Python modules + # from the umbrella 'install' command -- build (source) directory, + # install (target) directory, and whether to compile .py files. + self.set_undefined_options('install', + ('build_lib', 'build_dir'), + ('install_lib', 'install_dir'), + ('force', 'force'), + ('compile', 'compile'), + ('optimize', 'optimize'), + ('skip_build', 'skip_build'), + ) + + if self.compile is None: + self.compile = True + if self.optimize is None: + self.optimize = False + + if not isinstance(self.optimize, int): + try: + self.optimize = int(self.optimize) + if self.optimize not in (0, 1, 2): + raise AssertionError + except (ValueError, AssertionError): + raise DistutilsOptionError("optimize must be 0, 1, or 2") + + def run(self): + # Make sure we have built everything we need first + self.build() + + # Install everything: simply dump the entire contents of the build + # directory to the installation directory (that's the beauty of + # having a build directory!) + outfiles = self.install() + + # (Optionally) compile .py to .pyc + if outfiles is not None and self.distribution.has_pure_modules(): + self.byte_compile(outfiles) + + # -- Top-level worker functions ------------------------------------ + # (called from 'run()') + + def build(self): + if not self.skip_build: + if self.distribution.has_pure_modules(): + self.run_command('build_py') + if self.distribution.has_ext_modules(): + self.run_command('build_ext') + + def install(self): + if os.path.isdir(self.build_dir): + outfiles = self.copy_tree(self.build_dir, self.install_dir) + else: + self.warn("'%s' does not exist -- no Python modules to install" % + self.build_dir) + return + return outfiles + + def byte_compile(self, files): + if sys.dont_write_bytecode: + self.warn('byte-compiling is disabled, skipping.') + return + + from distutils.util import byte_compile + + # Get the "--root" directory supplied to the "install" command, + # and use it as a prefix to strip off the purported filename + # encoded in bytecode files. This is far from complete, but it + # should at least generate usable bytecode in RPM distributions. + install_root = self.get_finalized_command('install').root + + if self.compile: + byte_compile(files, optimize=0, + force=self.force, prefix=install_root, + dry_run=self.dry_run) + if self.optimize > 0: + byte_compile(files, optimize=self.optimize, + force=self.force, prefix=install_root, + verbose=self.verbose, dry_run=self.dry_run) + + + # -- Utility methods ----------------------------------------------- + + def _mutate_outputs(self, has_any, build_cmd, cmd_option, output_dir): + if not has_any: + return [] + + build_cmd = self.get_finalized_command(build_cmd) + build_files = build_cmd.get_outputs() + build_dir = getattr(build_cmd, cmd_option) + + prefix_len = len(build_dir) + len(os.sep) + outputs = [] + for file in build_files: + outputs.append(os.path.join(output_dir, file[prefix_len:])) + + return outputs + + def _bytecode_filenames(self, py_filenames): + bytecode_files = [] + for py_file in py_filenames: + # Since build_py handles package data installation, the + # list of outputs can contain more than just .py files. + # Make sure we only report bytecode for the .py files. + ext = os.path.splitext(os.path.normcase(py_file))[1] + if ext != PYTHON_SOURCE_EXTENSION: + continue + if self.compile: + bytecode_files.append(importlib.util.cache_from_source( + py_file, optimization='')) + if self.optimize > 0: + bytecode_files.append(importlib.util.cache_from_source( + py_file, optimization=self.optimize)) + + return bytecode_files + + + # -- External interface -------------------------------------------- + # (called by outsiders) + + def get_outputs(self): + """Return the list of files that would be installed if this command + were actually run. Not affected by the "dry-run" flag or whether + modules have actually been built yet. + """ + pure_outputs = \ + self._mutate_outputs(self.distribution.has_pure_modules(), + 'build_py', 'build_lib', + self.install_dir) + if self.compile: + bytecode_outputs = self._bytecode_filenames(pure_outputs) + else: + bytecode_outputs = [] + + ext_outputs = \ + self._mutate_outputs(self.distribution.has_ext_modules(), + 'build_ext', 'build_lib', + self.install_dir) + + return pure_outputs + bytecode_outputs + ext_outputs + + def get_inputs(self): + """Get the list of files that are input to this command, ie. the + files that get installed as they are named in the build tree. + The files in this list correspond one-to-one to the output + filenames returned by 'get_outputs()'. + """ + inputs = [] + + if self.distribution.has_pure_modules(): + build_py = self.get_finalized_command('build_py') + inputs.extend(build_py.get_outputs()) + + if self.distribution.has_ext_modules(): + build_ext = self.get_finalized_command('build_ext') + inputs.extend(build_ext.get_outputs()) + + return inputs diff --git a/llava/lib/python3.10/distutils/command/install_scripts.py b/llava/lib/python3.10/distutils/command/install_scripts.py new file mode 100644 index 0000000000000000000000000000000000000000..31a1130ee549371dffc668e515d2ae5d91799aac --- /dev/null +++ b/llava/lib/python3.10/distutils/command/install_scripts.py @@ -0,0 +1,60 @@ +"""distutils.command.install_scripts + +Implements the Distutils 'install_scripts' command, for installing +Python scripts.""" + +# contributed by Bastian Kleineidam + +import os +from distutils.core import Command +from distutils import log +from stat import ST_MODE + + +class install_scripts(Command): + + description = "install scripts (Python or otherwise)" + + user_options = [ + ('install-dir=', 'd', "directory to install scripts to"), + ('build-dir=','b', "build directory (where to install from)"), + ('force', 'f', "force installation (overwrite existing files)"), + ('skip-build', None, "skip the build steps"), + ] + + boolean_options = ['force', 'skip-build'] + + def initialize_options(self): + self.install_dir = None + self.force = 0 + self.build_dir = None + self.skip_build = None + + def finalize_options(self): + self.set_undefined_options('build', ('build_scripts', 'build_dir')) + self.set_undefined_options('install', + ('install_scripts', 'install_dir'), + ('force', 'force'), + ('skip_build', 'skip_build'), + ) + + def run(self): + if not self.skip_build: + self.run_command('build_scripts') + self.outfiles = self.copy_tree(self.build_dir, self.install_dir) + if os.name == 'posix': + # Set the executable bits (owner, group, and world) on + # all the scripts we just installed. + for file in self.get_outputs(): + if self.dry_run: + log.info("changing mode of %s", file) + else: + mode = ((os.stat(file)[ST_MODE]) | 0o555) & 0o7777 + log.info("changing mode of %s to %o", file, mode) + os.chmod(file, mode) + + def get_inputs(self): + return self.distribution.scripts or [] + + def get_outputs(self): + return self.outfiles or [] diff --git a/llava/lib/python3.10/distutils/command/register.py b/llava/lib/python3.10/distutils/command/register.py new file mode 100644 index 0000000000000000000000000000000000000000..0fac94e9e54905688d0e359fc5a9b96b703afab5 --- /dev/null +++ b/llava/lib/python3.10/distutils/command/register.py @@ -0,0 +1,304 @@ +"""distutils.command.register + +Implements the Distutils 'register' command (register with the repository). +""" + +# created 2002/10/21, Richard Jones + +import getpass +import io +import urllib.parse, urllib.request +from warnings import warn + +from distutils.core import PyPIRCCommand +from distutils.errors import * +from distutils import log + +class register(PyPIRCCommand): + + description = ("register the distribution with the Python package index") + user_options = PyPIRCCommand.user_options + [ + ('list-classifiers', None, + 'list the valid Trove classifiers'), + ('strict', None , + 'Will stop the registering if the meta-data are not fully compliant') + ] + boolean_options = PyPIRCCommand.boolean_options + [ + 'verify', 'list-classifiers', 'strict'] + + sub_commands = [('check', lambda self: True)] + + def initialize_options(self): + PyPIRCCommand.initialize_options(self) + self.list_classifiers = 0 + self.strict = 0 + + def finalize_options(self): + PyPIRCCommand.finalize_options(self) + # setting options for the `check` subcommand + check_options = {'strict': ('register', self.strict), + 'restructuredtext': ('register', 1)} + self.distribution.command_options['check'] = check_options + + def run(self): + self.finalize_options() + self._set_config() + + # Run sub commands + for cmd_name in self.get_sub_commands(): + self.run_command(cmd_name) + + if self.dry_run: + self.verify_metadata() + elif self.list_classifiers: + self.classifiers() + else: + self.send_metadata() + + def check_metadata(self): + """Deprecated API.""" + warn("distutils.command.register.check_metadata is deprecated, \ + use the check command instead", PendingDeprecationWarning) + check = self.distribution.get_command_obj('check') + check.ensure_finalized() + check.strict = self.strict + check.restructuredtext = 1 + check.run() + + def _set_config(self): + ''' Reads the configuration file and set attributes. + ''' + config = self._read_pypirc() + if config != {}: + self.username = config['username'] + self.password = config['password'] + self.repository = config['repository'] + self.realm = config['realm'] + self.has_config = True + else: + if self.repository not in ('pypi', self.DEFAULT_REPOSITORY): + raise ValueError('%s not found in .pypirc' % self.repository) + if self.repository == 'pypi': + self.repository = self.DEFAULT_REPOSITORY + self.has_config = False + + def classifiers(self): + ''' Fetch the list of classifiers from the server. + ''' + url = self.repository+'?:action=list_classifiers' + response = urllib.request.urlopen(url) + log.info(self._read_pypi_response(response)) + + def verify_metadata(self): + ''' Send the metadata to the package index server to be checked. + ''' + # send the info to the server and report the result + (code, result) = self.post_to_server(self.build_post_data('verify')) + log.info('Server response (%s): %s', code, result) + + def send_metadata(self): + ''' Send the metadata to the package index server. + + Well, do the following: + 1. figure who the user is, and then + 2. send the data as a Basic auth'ed POST. + + First we try to read the username/password from $HOME/.pypirc, + which is a ConfigParser-formatted file with a section + [distutils] containing username and password entries (both + in clear text). Eg: + + [distutils] + index-servers = + pypi + + [pypi] + username: fred + password: sekrit + + Otherwise, to figure who the user is, we offer the user three + choices: + + 1. use existing login, + 2. register as a new user, or + 3. set the password to a random string and email the user. + + ''' + # see if we can short-cut and get the username/password from the + # config + if self.has_config: + choice = '1' + username = self.username + password = self.password + else: + choice = 'x' + username = password = '' + + # get the user's login info + choices = '1 2 3 4'.split() + while choice not in choices: + self.announce('''\ +We need to know who you are, so please choose either: + 1. use your existing login, + 2. register as a new user, + 3. have the server generate a new password for you (and email it to you), or + 4. quit +Your selection [default 1]: ''', log.INFO) + choice = input() + if not choice: + choice = '1' + elif choice not in choices: + print('Please choose one of the four options!') + + if choice == '1': + # get the username and password + while not username: + username = input('Username: ') + while not password: + password = getpass.getpass('Password: ') + + # set up the authentication + auth = urllib.request.HTTPPasswordMgr() + host = urllib.parse.urlparse(self.repository)[1] + auth.add_password(self.realm, host, username, password) + # send the info to the server and report the result + code, result = self.post_to_server(self.build_post_data('submit'), + auth) + self.announce('Server response (%s): %s' % (code, result), + log.INFO) + + # possibly save the login + if code == 200: + if self.has_config: + # sharing the password in the distribution instance + # so the upload command can reuse it + self.distribution.password = password + else: + self.announce(('I can store your PyPI login so future ' + 'submissions will be faster.'), log.INFO) + self.announce('(the login will be stored in %s)' % \ + self._get_rc_file(), log.INFO) + choice = 'X' + while choice.lower() not in 'yn': + choice = input('Save your login (y/N)?') + if not choice: + choice = 'n' + if choice.lower() == 'y': + self._store_pypirc(username, password) + + elif choice == '2': + data = {':action': 'user'} + data['name'] = data['password'] = data['email'] = '' + data['confirm'] = None + while not data['name']: + data['name'] = input('Username: ') + while data['password'] != data['confirm']: + while not data['password']: + data['password'] = getpass.getpass('Password: ') + while not data['confirm']: + data['confirm'] = getpass.getpass(' Confirm: ') + if data['password'] != data['confirm']: + data['password'] = '' + data['confirm'] = None + print("Password and confirm don't match!") + while not data['email']: + data['email'] = input(' EMail: ') + code, result = self.post_to_server(data) + if code != 200: + log.info('Server response (%s): %s', code, result) + else: + log.info('You will receive an email shortly.') + log.info(('Follow the instructions in it to ' + 'complete registration.')) + elif choice == '3': + data = {':action': 'password_reset'} + data['email'] = '' + while not data['email']: + data['email'] = input('Your email address: ') + code, result = self.post_to_server(data) + log.info('Server response (%s): %s', code, result) + + def build_post_data(self, action): + # figure the data to send - the metadata plus some additional + # information used by the package server + meta = self.distribution.metadata + data = { + ':action': action, + 'metadata_version' : '1.0', + 'name': meta.get_name(), + 'version': meta.get_version(), + 'summary': meta.get_description(), + 'home_page': meta.get_url(), + 'author': meta.get_contact(), + 'author_email': meta.get_contact_email(), + 'license': meta.get_licence(), + 'description': meta.get_long_description(), + 'keywords': meta.get_keywords(), + 'platform': meta.get_platforms(), + 'classifiers': meta.get_classifiers(), + 'download_url': meta.get_download_url(), + # PEP 314 + 'provides': meta.get_provides(), + 'requires': meta.get_requires(), + 'obsoletes': meta.get_obsoletes(), + } + if data['provides'] or data['requires'] or data['obsoletes']: + data['metadata_version'] = '1.1' + return data + + def post_to_server(self, data, auth=None): + ''' Post a query to the server, and return a string response. + ''' + if 'name' in data: + self.announce('Registering %s to %s' % (data['name'], + self.repository), + log.INFO) + # Build up the MIME payload for the urllib2 POST data + boundary = '--------------GHSKFJDLGDS7543FJKLFHRE75642756743254' + sep_boundary = '\n--' + boundary + end_boundary = sep_boundary + '--' + body = io.StringIO() + for key, value in data.items(): + # handle multiple entries for the same name + if type(value) not in (type([]), type( () )): + value = [value] + for value in value: + value = str(value) + body.write(sep_boundary) + body.write('\nContent-Disposition: form-data; name="%s"'%key) + body.write("\n\n") + body.write(value) + if value and value[-1] == '\r': + body.write('\n') # write an extra newline (lurve Macs) + body.write(end_boundary) + body.write("\n") + body = body.getvalue().encode("utf-8") + + # build the Request + headers = { + 'Content-type': 'multipart/form-data; boundary=%s; charset=utf-8'%boundary, + 'Content-length': str(len(body)) + } + req = urllib.request.Request(self.repository, body, headers) + + # handle HTTP and include the Basic Auth handler + opener = urllib.request.build_opener( + urllib.request.HTTPBasicAuthHandler(password_mgr=auth) + ) + data = '' + try: + result = opener.open(req) + except urllib.error.HTTPError as e: + if self.show_response: + data = e.fp.read() + result = e.code, e.msg + except urllib.error.URLError as e: + result = 500, str(e) + else: + if self.show_response: + data = self._read_pypi_response(result) + result = 200, 'OK' + if self.show_response: + msg = '\n'.join(('-' * 75, data, '-' * 75)) + self.announce(msg, log.INFO) + return result diff --git a/llava/lib/python3.10/distutils/command/sdist.py b/llava/lib/python3.10/distutils/command/sdist.py new file mode 100644 index 0000000000000000000000000000000000000000..b4996fcb1d276c48ad5637992c313e98a2bd9d99 --- /dev/null +++ b/llava/lib/python3.10/distutils/command/sdist.py @@ -0,0 +1,494 @@ +"""distutils.command.sdist + +Implements the Distutils 'sdist' command (create a source distribution).""" + +import os +import sys +from glob import glob +from warnings import warn + +from distutils.core import Command +from distutils import dir_util +from distutils import file_util +from distutils import archive_util +from distutils.text_file import TextFile +from distutils.filelist import FileList +from distutils import log +from distutils.util import convert_path +from distutils.errors import DistutilsTemplateError, DistutilsOptionError + + +def show_formats(): + """Print all possible values for the 'formats' option (used by + the "--help-formats" command-line option). + """ + from distutils.fancy_getopt import FancyGetopt + from distutils.archive_util import ARCHIVE_FORMATS + formats = [] + for format in ARCHIVE_FORMATS.keys(): + formats.append(("formats=" + format, None, + ARCHIVE_FORMATS[format][2])) + formats.sort() + FancyGetopt(formats).print_help( + "List of available source distribution formats:") + + +class sdist(Command): + + description = "create a source distribution (tarball, zip file, etc.)" + + def checking_metadata(self): + """Callable used for the check sub-command. + + Placed here so user_options can view it""" + return self.metadata_check + + user_options = [ + ('template=', 't', + "name of manifest template file [default: MANIFEST.in]"), + ('manifest=', 'm', + "name of manifest file [default: MANIFEST]"), + ('use-defaults', None, + "include the default file set in the manifest " + "[default; disable with --no-defaults]"), + ('no-defaults', None, + "don't include the default file set"), + ('prune', None, + "specifically exclude files/directories that should not be " + "distributed (build tree, RCS/CVS dirs, etc.) " + "[default; disable with --no-prune]"), + ('no-prune', None, + "don't automatically exclude anything"), + ('manifest-only', 'o', + "just regenerate the manifest and then stop " + "(implies --force-manifest)"), + ('force-manifest', 'f', + "forcibly regenerate the manifest and carry on as usual. " + "Deprecated: now the manifest is always regenerated."), + ('formats=', None, + "formats for source distribution (comma-separated list)"), + ('keep-temp', 'k', + "keep the distribution tree around after creating " + + "archive file(s)"), + ('dist-dir=', 'd', + "directory to put the source distribution archive(s) in " + "[default: dist]"), + ('metadata-check', None, + "Ensure that all required elements of meta-data " + "are supplied. Warn if any missing. [default]"), + ('owner=', 'u', + "Owner name used when creating a tar file [default: current user]"), + ('group=', 'g', + "Group name used when creating a tar file [default: current group]"), + ] + + boolean_options = ['use-defaults', 'prune', + 'manifest-only', 'force-manifest', + 'keep-temp', 'metadata-check'] + + help_options = [ + ('help-formats', None, + "list available distribution formats", show_formats), + ] + + negative_opt = {'no-defaults': 'use-defaults', + 'no-prune': 'prune' } + + sub_commands = [('check', checking_metadata)] + + READMES = ('README', 'README.txt', 'README.rst') + + def initialize_options(self): + # 'template' and 'manifest' are, respectively, the names of + # the manifest template and manifest file. + self.template = None + self.manifest = None + + # 'use_defaults': if true, we will include the default file set + # in the manifest + self.use_defaults = 1 + self.prune = 1 + + self.manifest_only = 0 + self.force_manifest = 0 + + self.formats = ['gztar'] + self.keep_temp = 0 + self.dist_dir = None + + self.archive_files = None + self.metadata_check = 1 + self.owner = None + self.group = None + + def finalize_options(self): + if self.manifest is None: + self.manifest = "MANIFEST" + if self.template is None: + self.template = "MANIFEST.in" + + self.ensure_string_list('formats') + + bad_format = archive_util.check_archive_formats(self.formats) + if bad_format: + raise DistutilsOptionError( + "unknown archive format '%s'" % bad_format) + + if self.dist_dir is None: + self.dist_dir = "dist" + + def run(self): + # 'filelist' contains the list of files that will make up the + # manifest + self.filelist = FileList() + + # Run sub commands + for cmd_name in self.get_sub_commands(): + self.run_command(cmd_name) + + # Do whatever it takes to get the list of files to process + # (process the manifest template, read an existing manifest, + # whatever). File list is accumulated in 'self.filelist'. + self.get_file_list() + + # If user just wanted us to regenerate the manifest, stop now. + if self.manifest_only: + return + + # Otherwise, go ahead and create the source distribution tarball, + # or zipfile, or whatever. + self.make_distribution() + + def check_metadata(self): + """Deprecated API.""" + warn("distutils.command.sdist.check_metadata is deprecated, \ + use the check command instead", PendingDeprecationWarning) + check = self.distribution.get_command_obj('check') + check.ensure_finalized() + check.run() + + def get_file_list(self): + """Figure out the list of files to include in the source + distribution, and put it in 'self.filelist'. This might involve + reading the manifest template (and writing the manifest), or just + reading the manifest, or just using the default file set -- it all + depends on the user's options. + """ + # new behavior when using a template: + # the file list is recalculated every time because + # even if MANIFEST.in or setup.py are not changed + # the user might have added some files in the tree that + # need to be included. + # + # This makes --force the default and only behavior with templates. + template_exists = os.path.isfile(self.template) + if not template_exists and self._manifest_is_not_generated(): + self.read_manifest() + self.filelist.sort() + self.filelist.remove_duplicates() + return + + if not template_exists: + self.warn(("manifest template '%s' does not exist " + + "(using default file list)") % + self.template) + self.filelist.findall() + + if self.use_defaults: + self.add_defaults() + + if template_exists: + self.read_template() + + if self.prune: + self.prune_file_list() + + self.filelist.sort() + self.filelist.remove_duplicates() + self.write_manifest() + + def add_defaults(self): + """Add all the default files to self.filelist: + - README or README.txt + - setup.py + - test/test*.py + - all pure Python modules mentioned in setup script + - all files pointed by package_data (build_py) + - all files defined in data_files. + - all files defined as scripts. + - all C sources listed as part of extensions or C libraries + in the setup script (doesn't catch C headers!) + Warns if (README or README.txt) or setup.py are missing; everything + else is optional. + """ + self._add_defaults_standards() + self._add_defaults_optional() + self._add_defaults_python() + self._add_defaults_data_files() + self._add_defaults_ext() + self._add_defaults_c_libs() + self._add_defaults_scripts() + + @staticmethod + def _cs_path_exists(fspath): + """ + Case-sensitive path existence check + + >>> sdist._cs_path_exists(__file__) + True + >>> sdist._cs_path_exists(__file__.upper()) + False + """ + if not os.path.exists(fspath): + return False + # make absolute so we always have a directory + abspath = os.path.abspath(fspath) + directory, filename = os.path.split(abspath) + return filename in os.listdir(directory) + + def _add_defaults_standards(self): + standards = [self.READMES, self.distribution.script_name] + for fn in standards: + if isinstance(fn, tuple): + alts = fn + got_it = False + for fn in alts: + if self._cs_path_exists(fn): + got_it = True + self.filelist.append(fn) + break + + if not got_it: + self.warn("standard file not found: should have one of " + + ', '.join(alts)) + else: + if self._cs_path_exists(fn): + self.filelist.append(fn) + else: + self.warn("standard file '%s' not found" % fn) + + def _add_defaults_optional(self): + optional = ['test/test*.py', 'setup.cfg'] + for pattern in optional: + files = filter(os.path.isfile, glob(pattern)) + self.filelist.extend(files) + + def _add_defaults_python(self): + # build_py is used to get: + # - python modules + # - files defined in package_data + build_py = self.get_finalized_command('build_py') + + # getting python files + if self.distribution.has_pure_modules(): + self.filelist.extend(build_py.get_source_files()) + + # getting package_data files + # (computed in build_py.data_files by build_py.finalize_options) + for pkg, src_dir, build_dir, filenames in build_py.data_files: + for filename in filenames: + self.filelist.append(os.path.join(src_dir, filename)) + + def _add_defaults_data_files(self): + # getting distribution.data_files + if self.distribution.has_data_files(): + for item in self.distribution.data_files: + if isinstance(item, str): + # plain file + item = convert_path(item) + if os.path.isfile(item): + self.filelist.append(item) + else: + # a (dirname, filenames) tuple + dirname, filenames = item + for f in filenames: + f = convert_path(f) + if os.path.isfile(f): + self.filelist.append(f) + + def _add_defaults_ext(self): + if self.distribution.has_ext_modules(): + build_ext = self.get_finalized_command('build_ext') + self.filelist.extend(build_ext.get_source_files()) + + def _add_defaults_c_libs(self): + if self.distribution.has_c_libraries(): + build_clib = self.get_finalized_command('build_clib') + self.filelist.extend(build_clib.get_source_files()) + + def _add_defaults_scripts(self): + if self.distribution.has_scripts(): + build_scripts = self.get_finalized_command('build_scripts') + self.filelist.extend(build_scripts.get_source_files()) + + def read_template(self): + """Read and parse manifest template file named by self.template. + + (usually "MANIFEST.in") The parsing and processing is done by + 'self.filelist', which updates itself accordingly. + """ + log.info("reading manifest template '%s'", self.template) + template = TextFile(self.template, strip_comments=1, skip_blanks=1, + join_lines=1, lstrip_ws=1, rstrip_ws=1, + collapse_join=1) + + try: + while True: + line = template.readline() + if line is None: # end of file + break + + try: + self.filelist.process_template_line(line) + # the call above can raise a DistutilsTemplateError for + # malformed lines, or a ValueError from the lower-level + # convert_path function + except (DistutilsTemplateError, ValueError) as msg: + self.warn("%s, line %d: %s" % (template.filename, + template.current_line, + msg)) + finally: + template.close() + + def prune_file_list(self): + """Prune off branches that might slip into the file list as created + by 'read_template()', but really don't belong there: + * the build tree (typically "build") + * the release tree itself (only an issue if we ran "sdist" + previously with --keep-temp, or it aborted) + * any RCS, CVS, .svn, .hg, .git, .bzr, _darcs directories + """ + build = self.get_finalized_command('build') + base_dir = self.distribution.get_fullname() + + self.filelist.exclude_pattern(None, prefix=build.build_base) + self.filelist.exclude_pattern(None, prefix=base_dir) + + if sys.platform == 'win32': + seps = r'/|\\' + else: + seps = '/' + + vcs_dirs = ['RCS', 'CVS', r'\.svn', r'\.hg', r'\.git', r'\.bzr', + '_darcs'] + vcs_ptrn = r'(^|%s)(%s)(%s).*' % (seps, '|'.join(vcs_dirs), seps) + self.filelist.exclude_pattern(vcs_ptrn, is_regex=1) + + def write_manifest(self): + """Write the file list in 'self.filelist' (presumably as filled in + by 'add_defaults()' and 'read_template()') to the manifest file + named by 'self.manifest'. + """ + if self._manifest_is_not_generated(): + log.info("not writing to manually maintained " + "manifest file '%s'" % self.manifest) + return + + content = self.filelist.files[:] + content.insert(0, '# file GENERATED by distutils, do NOT edit') + self.execute(file_util.write_file, (self.manifest, content), + "writing manifest file '%s'" % self.manifest) + + def _manifest_is_not_generated(self): + # check for special comment used in 3.1.3 and higher + if not os.path.isfile(self.manifest): + return False + + fp = open(self.manifest) + try: + first_line = fp.readline() + finally: + fp.close() + return first_line != '# file GENERATED by distutils, do NOT edit\n' + + def read_manifest(self): + """Read the manifest file (named by 'self.manifest') and use it to + fill in 'self.filelist', the list of files to include in the source + distribution. + """ + log.info("reading manifest file '%s'", self.manifest) + with open(self.manifest) as manifest: + for line in manifest: + # ignore comments and blank lines + line = line.strip() + if line.startswith('#') or not line: + continue + self.filelist.append(line) + + def make_release_tree(self, base_dir, files): + """Create the directory tree that will become the source + distribution archive. All directories implied by the filenames in + 'files' are created under 'base_dir', and then we hard link or copy + (if hard linking is unavailable) those files into place. + Essentially, this duplicates the developer's source tree, but in a + directory named after the distribution, containing only the files + to be distributed. + """ + # Create all the directories under 'base_dir' necessary to + # put 'files' there; the 'mkpath()' is just so we don't die + # if the manifest happens to be empty. + self.mkpath(base_dir) + dir_util.create_tree(base_dir, files, dry_run=self.dry_run) + + # And walk over the list of files, either making a hard link (if + # os.link exists) to each one that doesn't already exist in its + # corresponding location under 'base_dir', or copying each file + # that's out-of-date in 'base_dir'. (Usually, all files will be + # out-of-date, because by default we blow away 'base_dir' when + # we're done making the distribution archives.) + + if hasattr(os, 'link'): # can make hard links on this system + link = 'hard' + msg = "making hard links in %s..." % base_dir + else: # nope, have to copy + link = None + msg = "copying files to %s..." % base_dir + + if not files: + log.warn("no files to distribute -- empty manifest?") + else: + log.info(msg) + for file in files: + if not os.path.isfile(file): + log.warn("'%s' not a regular file -- skipping", file) + else: + dest = os.path.join(base_dir, file) + self.copy_file(file, dest, link=link) + + self.distribution.metadata.write_pkg_info(base_dir) + + def make_distribution(self): + """Create the source distribution(s). First, we create the release + tree with 'make_release_tree()'; then, we create all required + archive files (according to 'self.formats') from the release tree. + Finally, we clean up by blowing away the release tree (unless + 'self.keep_temp' is true). The list of archive files created is + stored so it can be retrieved later by 'get_archive_files()'. + """ + # Don't warn about missing meta-data here -- should be (and is!) + # done elsewhere. + base_dir = self.distribution.get_fullname() + base_name = os.path.join(self.dist_dir, base_dir) + + self.make_release_tree(base_dir, self.filelist.files) + archive_files = [] # remember names of files we create + # tar archive must be created last to avoid overwrite and remove + if 'tar' in self.formats: + self.formats.append(self.formats.pop(self.formats.index('tar'))) + + for fmt in self.formats: + file = self.make_archive(base_name, fmt, base_dir=base_dir, + owner=self.owner, group=self.group) + archive_files.append(file) + self.distribution.dist_files.append(('sdist', '', file)) + + self.archive_files = archive_files + + if not self.keep_temp: + dir_util.remove_tree(base_dir, dry_run=self.dry_run) + + def get_archive_files(self): + """Return the list of archive files created when the command + was run, or None if the command hasn't run yet. + """ + return self.archive_files diff --git a/llava/lib/python3.10/distutils/tests/__pycache__/test_bdist_msi.cpython-310.pyc b/llava/lib/python3.10/distutils/tests/__pycache__/test_bdist_msi.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f346a145221d6c15caae79b88e6a383b6d54bec9 Binary files /dev/null and b/llava/lib/python3.10/distutils/tests/__pycache__/test_bdist_msi.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/tests/__pycache__/test_bdist_rpm.cpython-310.pyc b/llava/lib/python3.10/distutils/tests/__pycache__/test_bdist_rpm.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..15a227d25cf4f81b3f2a9e878f5444338cf9a92d Binary files /dev/null and b/llava/lib/python3.10/distutils/tests/__pycache__/test_bdist_rpm.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/tests/__pycache__/test_cygwinccompiler.cpython-310.pyc b/llava/lib/python3.10/distutils/tests/__pycache__/test_cygwinccompiler.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..55fac8d4270dc9418b25f10c0ab938526d73a5ba Binary files /dev/null and b/llava/lib/python3.10/distutils/tests/__pycache__/test_cygwinccompiler.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/tests/__pycache__/test_extension.cpython-310.pyc b/llava/lib/python3.10/distutils/tests/__pycache__/test_extension.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..62e7cd195719463cc37f4855546554c590a1e1c1 Binary files /dev/null and b/llava/lib/python3.10/distutils/tests/__pycache__/test_extension.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/tests/__pycache__/test_file_util.cpython-310.pyc b/llava/lib/python3.10/distutils/tests/__pycache__/test_file_util.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6e035cc58928fee5c854aa21ba107fb3e698d5e7 Binary files /dev/null and b/llava/lib/python3.10/distutils/tests/__pycache__/test_file_util.cpython-310.pyc differ diff --git a/llava/lib/python3.10/distutils/tests/__pycache__/test_filelist.cpython-310.pyc b/llava/lib/python3.10/distutils/tests/__pycache__/test_filelist.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..231357d9772b0a1036bc0117037f60f97d479932 Binary files /dev/null and b/llava/lib/python3.10/distutils/tests/__pycache__/test_filelist.cpython-310.pyc differ diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..b1e0baf8848a1131849fd72235e01efcdbe29580 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeimplicitautograd { + +TORCH_API at::Tensor _cast_Short(const at::Tensor & self, bool non_blocking=false); + +} // namespace compositeimplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..d9ad166ce6cf8fee25ac15cb50342a487f4f1d76 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cdist_backward_cuda_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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API at::Tensor _cdist_backward(const at::Tensor & grad, const at::Tensor & x1, const at::Tensor & x2, double p, const at::Tensor & cdist); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_copy_from_and_resize_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_copy_from_and_resize_native.h new file mode 100644 index 0000000000000000000000000000000000000000..6455eb2bfe15cc23eb287f6e2d7daee104724ee5 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_copy_from_and_resize_native.h @@ -0,0 +1,21 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API at::Tensor & _copy_from_and_resize_out(const at::Tensor & self, const at::Tensor & dst, at::Tensor & out); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cslt_sparse_mm_search_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cslt_sparse_mm_search_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..dd482bc532705a1d672b56f3f8eba9efc26bd572 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_cslt_sparse_mm_search_cuda_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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API int64_t _cslt_sparse_mm_search(const at::Tensor & compressed_A, const at::Tensor & dense_B, const ::std::optional & bias={}, const ::std::optional & alpha={}, ::std::optional out_dtype=::std::nullopt, bool transpose_result=false); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fft_c2r_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fft_c2r_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..9b08f5982db5ec8302958f3b5adad46e1b3020c2 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_fft_c2r_ops.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API _fft_c2r { + using schema = at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, c10::SymInt); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_fft_c2r") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_fft_c2r(Tensor self, int[] dim, int normalization, SymInt last_dim_size) -> Tensor") + static at::Tensor call(const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, c10::SymInt last_dim_size); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, c10::SymInt last_dim_size); +}; + +struct TORCH_API _fft_c2r_out { + using schema = at::Tensor & (const at::Tensor &, at::IntArrayRef, int64_t, c10::SymInt, at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_fft_c2r") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_fft_c2r.out(Tensor self, int[] dim, int normalization, SymInt last_dim_size, *, Tensor(a!) out) -> Tensor(a!)") + static at::Tensor & call(const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, c10::SymInt last_dim_size, at::Tensor & out); + static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, c10::SymInt last_dim_size, at::Tensor & out); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log2_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log2_native.h new file mode 100644 index 0000000000000000000000000000000000000000..8c275224e084a39616ad101083099a1fdce0b88a --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log2_native.h @@ -0,0 +1,25 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API ::std::vector foreach_tensor_log2_slow(at::TensorList self); +TORCH_API void _foreach_log2_out(at::TensorList self, at::TensorList out); +TORCH_API void foreach_tensor_log2_slow_(at::TensorList self); +TORCH_API ::std::vector foreach_tensor_log2_cuda(at::TensorList self); +TORCH_API void foreach_tensor_log2_cuda_(at::TensorList self); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_pow_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_pow_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..c84d75d4dcda847578f5b557b06ec8c5b98796a6 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_pow_ops.h @@ -0,0 +1,127 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API _foreach_pow_List { + using schema = ::std::vector (at::TensorList, at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "List") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.List(Tensor[] self, Tensor[] exponent) -> Tensor[]") + static ::std::vector call(at::TensorList self, at::TensorList exponent); + static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList exponent); +}; + +struct TORCH_API _foreach_pow_Scalar { + using schema = ::std::vector (at::TensorList, const at::Scalar &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.Scalar(Tensor[] self, Scalar exponent) -> Tensor[]") + static ::std::vector call(at::TensorList self, const at::Scalar & exponent); + static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & exponent); +}; + +struct TORCH_API _foreach_pow_ScalarList { + using schema = ::std::vector (at::TensorList, at::ArrayRef); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarList") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.ScalarList(Tensor[] self, Scalar[] exponent) -> Tensor[]") + static ::std::vector call(at::TensorList self, at::ArrayRef exponent); + static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef exponent); +}; + +struct TORCH_API _foreach_pow_ScalarAndTensor { + using schema = ::std::vector (const at::Scalar &, at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarAndTensor") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.ScalarAndTensor(Scalar self, Tensor[] exponent) -> Tensor[]") + static ::std::vector call(const at::Scalar & self, at::TensorList exponent); + static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, at::TensorList exponent); +}; + +struct TORCH_API _foreach_pow__List { + using schema = void (at::TensorList, at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow_") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "List") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow_.List(Tensor(a!)[] self, Tensor[] exponent) -> ()") + static void call(at::TensorList self, at::TensorList exponent); + static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList exponent); +}; + +struct TORCH_API _foreach_pow__Scalar { + using schema = void (at::TensorList, const at::Scalar &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow_") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow_.Scalar(Tensor(a!)[] self, Scalar exponent) -> ()") + static void call(at::TensorList self, const at::Scalar & exponent); + static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & exponent); +}; + +struct TORCH_API _foreach_pow__ScalarList { + using schema = void (at::TensorList, at::ArrayRef); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow_") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarList") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow_.ScalarList(Tensor(a!)[] self, Scalar[] exponent) -> ()") + static void call(at::TensorList self, at::ArrayRef exponent); + static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef exponent); +}; + +struct TORCH_API _foreach_pow_List_out { + using schema = void (at::TensorList, at::TensorList, at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "List_out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.List_out(Tensor[] self, Tensor[] exponent, *, Tensor(a!)[] out) -> ()") + static void call(at::TensorList self, at::TensorList exponent, at::TensorList out); + static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList exponent, at::TensorList out); +}; + +struct TORCH_API _foreach_pow_Scalar_out { + using schema = void (at::TensorList, const at::Scalar &, at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Scalar_out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.Scalar_out(Tensor[] self, Scalar exponent, *, Tensor(a!)[] out) -> ()") + static void call(at::TensorList self, const at::Scalar & exponent, at::TensorList out); + static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & exponent, at::TensorList out); +}; + +struct TORCH_API _foreach_pow_ScalarList_out { + using schema = void (at::TensorList, at::ArrayRef, at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_pow") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "ScalarList_out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_pow.ScalarList_out(Tensor[] self, Scalar[] exponent, *, Tensor(a!)[] out) -> ()") + static void call(at::TensorList self, at::ArrayRef exponent, at::TensorList out); + static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef exponent, at::TensorList out); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sqrt_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sqrt_native.h new file mode 100644 index 0000000000000000000000000000000000000000..bd1e645db0fbfdcca56d4ac7ca2b9c3a59654560 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_sqrt_native.h @@ -0,0 +1,25 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API ::std::vector foreach_tensor_sqrt_slow(at::TensorList self); +TORCH_API void _foreach_sqrt_out(at::TensorList self, at::TensorList out); +TORCH_API void foreach_tensor_sqrt_slow_(at::TensorList self); +TORCH_API ::std::vector foreach_tensor_sqrt_cuda(at::TensorList self); +TORCH_API void foreach_tensor_sqrt_cuda_(at::TensorList self); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_lstm_mps.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_lstm_mps.h new file mode 100644 index 0000000000000000000000000000000000000000..89e6e7fa5602e19c283dc0baa500a27255dc3812 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_lstm_mps.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::_lstm_mps(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor, Tensor, Tensor, Tensor, Tensor) +inline ::std::tuple _lstm_mps(const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { + return at::_ops::_lstm_mps::call(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); +} + +// aten::_lstm_mps.out(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4, Tensor(f!) out5) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!), Tensor(f!)) +inline ::std::tuple _lstm_mps_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, at::Tensor & out5, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { + return at::_ops::_lstm_mps_out::call(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first, out0, out1, out2, out3, out4, out5); +} +// aten::_lstm_mps.out(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4, Tensor(f!) out5) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!), Tensor(f!)) +inline ::std::tuple _lstm_mps_outf(const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, at::Tensor & out5) { + return at::_ops::_lstm_mps_out::call(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first, out0, out1, out2, out3, out4, out5); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..dd63fb0bd257b4030d88c727cd8d8da5040583e8 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_native_batch_norm_legit_cuda_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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API ::std::tuple _native_batch_norm_legit_out(at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd, const at::Tensor & input, const ::std::optional & weight, const ::std::optional & bias, at::Tensor & running_mean, at::Tensor & running_var, bool training, double momentum, double eps); +TORCH_API ::std::tuple _native_batch_norm_legit_outf(const at::Tensor & input, const ::std::optional & weight, const ::std::optional & bias, at::Tensor & running_mean, at::Tensor & running_var, bool training, double momentum, double eps, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd); +TORCH_API ::std::tuple _native_batch_norm_legit(const at::Tensor & input, const ::std::optional & weight, const ::std::optional & bias, at::Tensor & running_mean, at::Tensor & running_var, bool training, double momentum, double eps); +TORCH_API ::std::tuple _native_batch_norm_legit(const at::Tensor & input, const ::std::optional & weight, const ::std::optional & bias, bool training, double momentum, double eps); +TORCH_API ::std::tuple _native_batch_norm_legit_out(at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd, const at::Tensor & input, const ::std::optional & weight, const ::std::optional & bias, bool training, double momentum, double eps); +TORCH_API ::std::tuple _native_batch_norm_legit_outf(const at::Tensor & input, const ::std::optional & weight, const ::std::optional & bias, bool training, double momentum, double eps, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_get_values_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_get_values_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..bc5704467b52eab568f32da67be8b841fa21427c --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_nested_get_values_ops.h @@ -0,0 +1,28 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API _nested_get_values { + 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::_nested_get_values") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_nested_get_values(Tensor(a) self) -> Tensor(a)") + static at::Tensor call(const at::Tensor & self); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h new file mode 100644 index 0000000000000000000000000000000000000000..ef9a39dd53854c9d077013de6ebfd8e8a2e393d8 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h @@ -0,0 +1,22 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API ::std::tuple _scaled_dot_product_efficient_attention_cuda(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const ::std::optional & attn_bias, bool compute_log_sumexp, double dropout_p=0.0, bool is_causal=false, ::std::optional scale=::std::nullopt); +TORCH_API ::std::tuple _scaled_dot_product_efficient_attention_nestedtensor_cuda(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const ::std::optional & attn_bias, bool compute_log_sumexp, double dropout_p=0.0, bool is_causal=false, ::std::optional scale=::std::nullopt); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/acosh_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/acosh_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..0f3c52a1e5ac31edcb83e150e3f8bf95b4b96633 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/acosh_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 +#include +#include + +// 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 + +namespace at { + +namespace meta { + +TORCH_API at::Tensor acosh(const at::Tensor & self); +TORCH_API at::Tensor & acosh_out(at::Tensor & out, const at::Tensor & self); +TORCH_API at::Tensor & acosh_outf(const at::Tensor & self, at::Tensor & out); +TORCH_API at::Tensor & acosh_(at::Tensor & self); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addbmm.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addbmm.h new file mode 100644 index 0000000000000000000000000000000000000000..1a2393390a8b83144ae12112c8cf26cd173df56f --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/addbmm.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::addbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & addbmm_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { + return at::_ops::addbmm_out::call(self, batch1, batch2, beta, alpha, out); +} +// aten::addbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & addbmm_outf(const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { + return at::_ops::addbmm_out::call(self, batch1, batch2, beta, alpha, out); +} + +// aten::addbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor +inline at::Tensor addbmm(const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { + return at::_ops::addbmm::call(self, batch1, batch2, beta, alpha); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/argsort.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/argsort.h new file mode 100644 index 0000000000000000000000000000000000000000..28b5be48bcfcba3b30bb3b091dcc137d35a51832 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/argsort.h @@ -0,0 +1,49 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::argsort(Tensor self, int dim=-1, bool descending=False) -> Tensor +inline at::Tensor argsort(const at::Tensor & self, int64_t dim=-1, bool descending=false) { + return at::_ops::argsort::call(self, dim, descending); +} + +// aten::argsort.stable(Tensor self, *, bool stable, int dim=-1, bool descending=False) -> Tensor +inline at::Tensor argsort(const at::Tensor & self, bool stable, int64_t dim=-1, bool descending=false) { + return at::_ops::argsort_stable::call(self, stable, dim, descending); +} + +// aten::argsort.dimname(Tensor self, Dimname dim, bool descending=False) -> Tensor +inline at::Tensor argsort(const at::Tensor & self, at::Dimname dim, bool descending=false) { + return at::_ops::argsort_dimname::call(self, dim, descending); +} + +// aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & argsort_out(at::Tensor & out, const at::Tensor & self, bool stable, int64_t dim=-1, bool descending=false) { + return at::_ops::argsort_stable_out::call(self, stable, dim, descending, out); +} +// aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & argsort_outf(const at::Tensor & self, bool stable, int64_t dim, bool descending, at::Tensor & out) { + return at::_ops::argsort_stable_out::call(self, stable, dim, descending, out); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..a68b6f0a2013f7862e81491ab450bcdf876ee1e4 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeexplicitautogradnonfunctional { + +TORCH_API at::Tensor avg_pool2d_backward(const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, ::std::optional divisor_override); + +} // namespace compositeexplicitautogradnonfunctional +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/concat.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/concat.h new file mode 100644 index 0000000000000000000000000000000000000000..da4ba4f8bfcec4bf90504e744b2d7674b09b7ee6 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/concat.h @@ -0,0 +1,53 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::concat(Tensor[] tensors, int dim=0) -> Tensor +inline at::Tensor concat(at::TensorList tensors, int64_t dim=0) { + return at::_ops::concat::call(tensors, dim); +} + +// aten::concat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & concat_out(at::Tensor & out, at::TensorList tensors, int64_t dim=0) { + return at::_ops::concat_out::call(tensors, dim, out); +} +// aten::concat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & concat_outf(at::TensorList tensors, int64_t dim, at::Tensor & out) { + return at::_ops::concat_out::call(tensors, dim, out); +} + +// aten::concat.names(Tensor[] tensors, Dimname dim) -> Tensor +inline at::Tensor concat(at::TensorList tensors, at::Dimname dim) { + return at::_ops::concat_names::call(tensors, dim); +} + +// aten::concat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & concat_out(at::Tensor & out, at::TensorList tensors, at::Dimname dim) { + return at::_ops::concat_names_out::call(tensors, dim, out); +} +// aten::concat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & concat_outf(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { + return at::_ops::concat_names_out::call(tensors, dim, out); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..617bc805032a1dc9e83f784aaf0cc7117b967bd7 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conj_physical_compositeimplicitautograd_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeimplicitautograd { + +TORCH_API at::Tensor conj_physical(const at::Tensor & self); + +} // namespace compositeimplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..4e3654d086a00e584763e60e2c9ae32a3686af69 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/conv1d_compositeimplicitautograd_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeimplicitautograd { + +TORCH_API at::Tensor conv1d(const at::Tensor & input, const at::Tensor & weight, const ::std::optional & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1); +TORCH_API at::Tensor conv1d_symint(const at::Tensor & input, const at::Tensor & weight, const ::std::optional & bias={}, c10::SymIntArrayRef stride=c10::SymInt(1), c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef dilation=c10::SymInt(1), c10::SymInt groups=1); +TORCH_API at::Tensor conv1d(const at::Tensor & input, const at::Tensor & weight, const ::std::optional & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1); +TORCH_API at::Tensor conv1d_symint(const at::Tensor & input, const at::Tensor & weight, const ::std::optional & bias, c10::SymIntArrayRef stride, c10::string_view padding, c10::SymIntArrayRef dilation=c10::SymInt(1), c10::SymInt groups=1); + +} // namespace compositeimplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..0280aadec87191cabeb0542f23ad1c56d8328984 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_like_compositeexplicitautograd_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor empty_like(const at::Tensor & self, at::TensorOptions options={}, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor empty_like(const at::Tensor & self, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); +TORCH_API at::Tensor & empty_like_out(at::Tensor & out, const at::Tensor & self, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor & empty_like_outf(const at::Tensor & self, ::std::optional memory_format, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..3d2fb96e0899dd68f761127e2ad025ebdd8f6019 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_quantized_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor & empty_quantized_out(at::Tensor & out, at::IntArrayRef size, const at::Tensor & qtensor, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor & empty_quantized_outf(at::IntArrayRef size, const at::Tensor & qtensor, ::std::optional memory_format, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_quantized_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_quantized_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..74e40b78852491c6349923519279fae0e6c614a1 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/empty_quantized_ops.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API empty_quantized { + using schema = at::Tensor (at::IntArrayRef, const at::Tensor &, ::std::optional, ::std::optional, ::std::optional, ::std::optional, ::std::optional); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::empty_quantized") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "empty_quantized(int[] size, Tensor qtensor, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor") + static at::Tensor call(at::IntArrayRef size, const at::Tensor & qtensor, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); +}; + +struct TORCH_API empty_quantized_out { + using schema = at::Tensor & (at::IntArrayRef, const at::Tensor &, ::std::optional, at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::empty_quantized") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "empty_quantized.out(int[] size, Tensor qtensor, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!)") + static at::Tensor & call(at::IntArrayRef size, const at::Tensor & qtensor, ::std::optional memory_format, at::Tensor & out); + static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, ::std::optional memory_format, at::Tensor & out); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..8fcf424a82263685734bd2e9783f474e5c7f2f8c --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h @@ -0,0 +1,30 @@ +#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 +#include +#include + +// 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 + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor hann_window(int64_t window_length, at::TensorOptions options={}); +TORCH_API at::Tensor hann_window(int64_t window_length, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory); +TORCH_API at::Tensor & hann_window_out(at::Tensor & out, int64_t window_length); +TORCH_API at::Tensor & hann_window_outf(int64_t window_length, at::Tensor & out); +TORCH_API at::Tensor hann_window(int64_t window_length, bool periodic, at::TensorOptions options={}); +TORCH_API at::Tensor hann_window(int64_t window_length, bool periodic, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory); +TORCH_API at::Tensor & hann_window_out(at::Tensor & out, int64_t window_length, bool periodic); +TORCH_API at::Tensor & hann_window_outf(int64_t window_length, bool periodic, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hinge_embedding_loss_native.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hinge_embedding_loss_native.h new file mode 100644 index 0000000000000000000000000000000000000000..b2c34091e951f465476600d959d349e9eafda585 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hinge_embedding_loss_native.h @@ -0,0 +1,21 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +namespace at { +namespace native { +TORCH_API at::Tensor hinge_embedding_loss(const at::Tensor & self, const at::Tensor & target, double margin=1.0, int64_t reduction=at::Reduction::Mean); +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hstack_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hstack_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..3d845b6f968d80cd041985feed4d9589175ceb97 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/hstack_ops.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API hstack { + using schema = at::Tensor (at::TensorList); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::hstack") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "hstack(Tensor[] tensors) -> Tensor") + static at::Tensor call(at::TensorList tensors); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors); +}; + +struct TORCH_API hstack_out { + using schema = at::Tensor & (at::TensorList, at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::hstack") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "hstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!)") + static at::Tensor & call(at::TensorList tensors, at::Tensor & out); + static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..e0f0f8337346d2ccb6c4efd91defec36e6bf1051 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeexplicitautogradnonfunctional { + +TORCH_API at::Tensor index_add(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1); +TORCH_API at::Tensor & index_add_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1); + +} // namespace compositeexplicitautogradnonfunctional +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/is_leaf_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/is_leaf_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..9f33164af899f24c5898f2f51c3804f297020ec9 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/is_leaf_ops.h @@ -0,0 +1,28 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API is_leaf { + using schema = bool (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::is_leaf") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "is_leaf(Tensor self) -> bool") + static bool call(const at::Tensor & self); + static bool redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/isin_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/isin_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..bd02933656f4ecfdb3a19f02cc78303158f93ef1 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/isin_cpu_dispatch.h @@ -0,0 +1,31 @@ +#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 +#include +#include + +// 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 + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor isin(const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); +TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); +TORCH_API at::Tensor & isin_outf(const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out); +TORCH_API at::Tensor isin(const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false); +TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false); +TORCH_API at::Tensor & isin_outf(const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique, bool invert, at::Tensor & out); +TORCH_API at::Tensor isin(const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); +TORCH_API at::Tensor & isin_out(at::Tensor & out, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false); +TORCH_API at::Tensor & isin_outf(const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/isposinf_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/isposinf_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..ef274924c4e4bb2bfbf5eeb0bc781e4eacae7ea0 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/isposinf_cpu_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 +#include +#include + +// 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 + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor isposinf(const at::Tensor & self); +TORCH_API at::Tensor & isposinf_out(at::Tensor & out, const at::Tensor & self); +TORCH_API at::Tensor & isposinf_outf(const at::Tensor & self, at::Tensor & out); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/kl_div.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/kl_div.h new file mode 100644 index 0000000000000000000000000000000000000000..efd25925a9f305bfc576612dba15054329c7f856 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/kl_div.h @@ -0,0 +1,30 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::kl_div(Tensor self, Tensor target, int reduction=Mean, *, bool log_target=False) -> Tensor +inline at::Tensor kl_div(const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, bool log_target=false) { + return at::_ops::kl_div::call(self, target, reduction, log_target); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/le_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/le_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..447d73bd4d2726489ba9dc5ad9cdb053330c09cb --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/le_cuda_dispatch.h @@ -0,0 +1,30 @@ +#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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API at::Tensor le(const at::Tensor & self, const at::Scalar & other); +TORCH_API at::Tensor & le_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other); +TORCH_API at::Tensor & le_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out); +TORCH_API at::Tensor & le_(at::Tensor & self, const at::Scalar & other); +TORCH_API at::Tensor le(const at::Tensor & self, const at::Tensor & other); +TORCH_API at::Tensor & le_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); +TORCH_API at::Tensor & le_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); +TORCH_API at::Tensor & le_(at::Tensor & self, const at::Tensor & other); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logaddexp2_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logaddexp2_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..ff8b8d60632394a8aee5908179e552ede62f34fd --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/logaddexp2_meta_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 +#include +#include + +// 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 + +namespace at { + +namespace meta { + +TORCH_API at::Tensor logaddexp2(const at::Tensor & self, const at::Tensor & other); +TORCH_API at::Tensor & logaddexp2_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other); +TORCH_API at::Tensor & logaddexp2_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/miopen_convolution_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/miopen_convolution_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..fcb219b04b2fe6f40801c96708a559dd52c01ac1 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/miopen_convolution_ops.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API miopen_convolution { + using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional &, c10::SymIntArrayRef, c10::SymIntArrayRef, c10::SymIntArrayRef, c10::SymInt, bool, bool); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::miopen_convolution") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic) -> Tensor") + static at::Tensor call(const at::Tensor & self, const at::Tensor & weight, const ::std::optional & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride, c10::SymIntArrayRef dilation, c10::SymInt groups, bool benchmark, bool deterministic); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const ::std::optional & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride, c10::SymIntArrayRef dilation, c10::SymInt groups, bool benchmark, bool deterministic); +}; + +struct TORCH_API miopen_convolution_out { + using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, const ::std::optional &, c10::SymIntArrayRef, c10::SymIntArrayRef, c10::SymIntArrayRef, c10::SymInt, bool, bool, at::Tensor &); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::miopen_convolution") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] stride, SymInt[] dilation, SymInt groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!)") + static at::Tensor & call(const at::Tensor & self, const at::Tensor & weight, const ::std::optional & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride, c10::SymIntArrayRef dilation, c10::SymInt groups, bool benchmark, bool deterministic, at::Tensor & out); + static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const ::std::optional & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef stride, c10::SymIntArrayRef dilation, c10::SymInt groups, bool benchmark, bool deterministic, at::Tensor & out); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/mse_loss_backward.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/mse_loss_backward.h new file mode 100644 index 0000000000000000000000000000000000000000..a1c594c5ca07efae46db49d085b1831448ce2319 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/mse_loss_backward.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::mse_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!) +inline at::Tensor & mse_loss_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { + return at::_ops::mse_loss_backward_grad_input::call(grad_output, self, target, reduction, grad_input); +} +// aten::mse_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!) +inline at::Tensor & mse_loss_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & grad_input) { + return at::_ops::mse_loss_backward_grad_input::call(grad_output, self, target, reduction, grad_input); +} + +// aten::mse_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction) -> Tensor +inline at::Tensor mse_loss_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { + return at::_ops::mse_loss_backward::call(grad_output, self, target, reduction); +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..d72644e71a34d84ade1a655fec17d322a6acf263 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/multi_margin_loss_backward_cpu_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 +#include +#include + +// 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 + +namespace at { + +namespace cpu { + +TORCH_API at::Tensor multi_margin_loss_backward(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const ::std::optional & weight={}, int64_t reduction=at::Reduction::Mean); +TORCH_API at::Tensor & multi_margin_loss_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const ::std::optional & weight={}, int64_t reduction=at::Reduction::Mean); +TORCH_API at::Tensor & multi_margin_loss_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const ::std::optional & weight, int64_t reduction, at::Tensor & grad_input); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..42dce6307d3198b69e282cdfc63fd315229e78d6 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/native_layer_norm_cpu_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 +#include +#include + +// 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 + +namespace at { + +namespace cpu { + +TORCH_API ::std::tuple native_layer_norm(const at::Tensor & input, at::IntArrayRef normalized_shape, const ::std::optional & weight, const ::std::optional & bias, double eps); +TORCH_API ::std::tuple native_layer_norm_symint(const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const ::std::optional & weight, const ::std::optional & bias, double eps); + +} // namespace cpu +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..51832a16556644d9a7658dd7b3814aa9a848534a --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/nll_loss_compositeimplicitautograd_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 +#include +#include + +// 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 + +namespace at { + +namespace compositeimplicitautograd { + +TORCH_API at::Tensor nll_loss(const at::Tensor & self, const at::Tensor & target, const ::std::optional & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100); +TORCH_API at::Tensor nll_loss_symint(const at::Tensor & self, const at::Tensor & target, const ::std::optional & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100); +TORCH_API at::Tensor & nll_loss_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const ::std::optional & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100); +TORCH_API at::Tensor & nll_loss_outf(const at::Tensor & self, const at::Tensor & target, const ::std::optional & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out); +TORCH_API at::Tensor & nll_loss_symint_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const ::std::optional & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100); +TORCH_API at::Tensor & nll_loss_symint_outf(const at::Tensor & self, const at::Tensor & target, const ::std::optional & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out); + +} // namespace compositeimplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/norm_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/norm_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..233ec87b1ce1ffcdb19ab5d324dfa556304ca343 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/norm_cuda_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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API at::Tensor norm(const at::Tensor & self, const ::std::optional & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype); +TORCH_API at::Tensor & norm_out(at::Tensor & out, const at::Tensor & self, const ::std::optional & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype); +TORCH_API at::Tensor & norm_outf(const at::Tensor & self, const ::std::optional & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype, at::Tensor & out); +TORCH_API at::Tensor norm(const at::Tensor & self, const ::std::optional & p, at::IntArrayRef dim, bool keepdim=false); +TORCH_API at::Tensor & norm_out(at::Tensor & out, const at::Tensor & self, const ::std::optional & p, at::IntArrayRef dim, bool keepdim=false); +TORCH_API at::Tensor & norm_outf(const at::Tensor & self, const ::std::optional & p, at::IntArrayRef dim, bool keepdim, at::Tensor & out); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..33d91236c7d078fb42c95b2a328596fe1c0fe5b4 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API at::Tensor quantize_per_tensor_dynamic(const at::Tensor & self, at::ScalarType dtype, bool reduce_range); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..fa2997d1088fe907a66d9ced31fffee5f4f27697 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h @@ -0,0 +1,38 @@ +#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 +#include +#include + +// 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 + +namespace at { + +namespace compositeexplicitautograd { + +TORCH_API at::Tensor randint_like(const at::Tensor & self, int64_t high, at::TensorOptions options={}, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor randint_like(const at::Tensor & self, int64_t high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); +TORCH_API at::Tensor randint_like_symint(const at::Tensor & self, c10::SymInt high, at::TensorOptions options={}, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor randint_like_symint(const at::Tensor & self, c10::SymInt high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); +TORCH_API at::Tensor & randint_like_out(at::Tensor & out, const at::Tensor & self, int64_t high, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor & randint_like_outf(const at::Tensor & self, int64_t high, ::std::optional memory_format, at::Tensor & out); +TORCH_API at::Tensor & randint_like_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymInt high, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor & randint_like_symint_outf(const at::Tensor & self, c10::SymInt high, ::std::optional memory_format, at::Tensor & out); +TORCH_API at::Tensor randint_like(const at::Tensor & self, int64_t low, int64_t high, at::TensorOptions options={}, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor randint_like(const at::Tensor & self, int64_t low, int64_t high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); +TORCH_API at::Tensor randint_like_symint(const at::Tensor & self, c10::SymInt low, c10::SymInt high, at::TensorOptions options={}, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor randint_like_symint(const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional dtype, ::std::optional layout, ::std::optional device, ::std::optional pin_memory, ::std::optional memory_format); +TORCH_API at::Tensor & randint_like_out(at::Tensor & out, const at::Tensor & self, int64_t low, int64_t high, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor & randint_like_outf(const at::Tensor & self, int64_t low, int64_t high, ::std::optional memory_format, at::Tensor & out); +TORCH_API at::Tensor & randint_like_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional memory_format=::std::nullopt); +TORCH_API at::Tensor & randint_like_symint_outf(const at::Tensor & self, c10::SymInt low, c10::SymInt high, ::std::optional memory_format, at::Tensor & out); + +} // namespace compositeexplicitautograd +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/renorm_meta.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/renorm_meta.h new file mode 100644 index 0000000000000000000000000000000000000000..e0e1aa603be317bc5167b80d049e0eb54919f96c --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/renorm_meta.h @@ -0,0 +1,27 @@ +#pragma once + +// @generated by torchgen/gen.py from NativeMetaFunction.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace at { +namespace meta { + +struct TORCH_API structured_renorm : public at::impl::MetaBase { + + + void meta(const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm); +}; + +} // namespace native +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/roll.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/roll.h new file mode 100644 index 0000000000000000000000000000000000000000..2a9a6fc898c619ad870667b1b4ec834b9f997908 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/roll.h @@ -0,0 +1,91 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::roll(Tensor self, SymInt[1] shifts, int[1] dims=[]) -> Tensor +inline at::Tensor roll(const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll::call(self, c10::fromIntArrayRefSlow(shifts), dims); +} +namespace symint { + template ::value>> + at::Tensor roll(const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll::call(self, c10::fromIntArrayRefSlow(shifts), dims); + } +} + +// aten::roll(Tensor self, SymInt[1] shifts, int[1] dims=[]) -> Tensor +inline at::Tensor roll_symint(const at::Tensor & self, c10::SymIntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll::call(self, shifts, dims); +} +namespace symint { + template ::value>> + at::Tensor roll(const at::Tensor & self, c10::SymIntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll::call(self, shifts, dims); + } +} + +// aten::roll.out(Tensor self, SymInt[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & roll_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll_out::call(self, c10::fromIntArrayRefSlow(shifts), dims, out); +} +namespace symint { + template ::value>> + at::Tensor & roll_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll_out::call(self, c10::fromIntArrayRefSlow(shifts), dims, out); + } +} + +// aten::roll.out(Tensor self, SymInt[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & roll_outf(const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims, at::Tensor & out) { + return at::_ops::roll_out::call(self, c10::fromIntArrayRefSlow(shifts), dims, out); +} +namespace symint { + template ::value>> + at::Tensor & roll_outf(const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims, at::Tensor & out) { + return at::_ops::roll_out::call(self, c10::fromIntArrayRefSlow(shifts), dims, out); + } +} + +// aten::roll.out(Tensor self, SymInt[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & roll_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll_out::call(self, shifts, dims, out); +} +namespace symint { + template ::value>> + at::Tensor & roll_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef shifts, at::IntArrayRef dims={}) { + return at::_ops::roll_out::call(self, shifts, dims, out); + } +} + +// aten::roll.out(Tensor self, SymInt[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!) +inline at::Tensor & roll_symint_outf(const at::Tensor & self, c10::SymIntArrayRef shifts, at::IntArrayRef dims, at::Tensor & out) { + return at::_ops::roll_out::call(self, shifts, dims, out); +} +namespace symint { + template ::value>> + at::Tensor & roll_outf(const at::Tensor & self, c10::SymIntArrayRef shifts, at::IntArrayRef dims, at::Tensor & out) { + return at::_ops::roll_out::call(self, shifts, dims, out); + } +} + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sinh_cuda_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sinh_cuda_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..3d6f6c423497449d155ae3af0e75439e4a6e65e8 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sinh_cuda_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 +#include +#include + +// 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 + +namespace at { + +namespace cuda { + +TORCH_API at::Tensor sinh(const at::Tensor & self); +TORCH_API at::Tensor & sinh_out(at::Tensor & out, const at::Tensor & self); +TORCH_API at::Tensor & sinh_outf(const at::Tensor & self, at::Tensor & out); +TORCH_API at::Tensor & sinh_(at::Tensor & self); + +} // namespace cuda +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_resize_and_clear_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_resize_and_clear_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..3d015efd6e68c7cc319766ad493734b940fb64b0 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_resize_and_clear_ops.h @@ -0,0 +1,50 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API sparse_resize_and_clear_ { + using schema = const at::Tensor & (const at::Tensor &, at::IntArrayRef, int64_t, int64_t); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::sparse_resize_and_clear_") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "sparse_resize_and_clear_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!)") + static const at::Tensor & call(const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); + static const at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); +}; + +struct TORCH_API sparse_resize_and_clear_out { + using schema = const at::Tensor & (const at::Tensor &, at::IntArrayRef, int64_t, int64_t, 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::sparse_resize_and_clear") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "sparse_resize_and_clear.out(Tensor self, int[] size, int sparse_dim, int dense_dim, *, Tensor(a!) out) -> Tensor(a!)") + static const at::Tensor & call(const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim, const at::Tensor & out); + static const at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim, const at::Tensor & out); +}; + +struct TORCH_API sparse_resize_and_clear { + using schema = at::Tensor (const at::Tensor &, at::IntArrayRef, int64_t, int64_t); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::sparse_resize_and_clear") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "sparse_resize_and_clear(Tensor self, int[] size, int sparse_dim, int dense_dim) -> Tensor") + static at::Tensor call(const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); + static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..e63e5eb122f6e93169b0ce13982e69e777559629 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_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 +#include +#include + +// 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 + +namespace at { + +namespace meta { + +TORCH_API at::Tensor special_scaled_modified_bessel_k0(const at::Tensor & x); +TORCH_API at::Tensor & special_scaled_modified_bessel_k0_out(at::Tensor & out, const at::Tensor & x); +TORCH_API at::Tensor & special_scaled_modified_bessel_k0_outf(const at::Tensor & x, at::Tensor & out); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sym_constrain_range_for_size_ops.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sym_constrain_range_for_size_ops.h new file mode 100644 index 0000000000000000000000000000000000000000..02d75128fe129f8183a83afcdd13c5b0bead9acd --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/sym_constrain_range_for_size_ops.h @@ -0,0 +1,28 @@ +#pragma once + +// @generated by torchgen/gen.py from Operator.h + +#include +#include + +// 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 + +namespace at { +namespace _ops { + + +struct TORCH_API sym_constrain_range_for_size { + using schema = void (const at::Scalar &, ::std::optional, ::std::optional); + using ptr_schema = schema*; + // See Note [static constexpr char* members for windows NVCC] + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::sym_constrain_range_for_size") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") + STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "sym_constrain_range_for_size(Scalar size, *, int? min=None, int? max=None) -> ()") + static void call(const at::Scalar & size, ::std::optional min, ::std::optional max); + static void redispatch(c10::DispatchKeySet dispatchKeySet, const at::Scalar & size, ::std::optional min, ::std::optional max); +}; + +}} // namespace at::_ops diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/to_dense.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/to_dense.h new file mode 100644 index 0000000000000000000000000000000000000000..591be3a19ac6a1814f2c0ee7577f83240686f85b --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/to_dense.h @@ -0,0 +1,26 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + + +} diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/tril_meta_dispatch.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/tril_meta_dispatch.h new file mode 100644 index 0000000000000000000000000000000000000000..73546783d411935e2414458e84da3d473d05c509 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/tril_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 +#include +#include + +// 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 + +namespace at { + +namespace meta { + +TORCH_API at::Tensor tril(const at::Tensor & self, int64_t diagonal=0); +TORCH_API at::Tensor & tril_out(at::Tensor & out, const at::Tensor & self, int64_t diagonal=0); +TORCH_API at::Tensor & tril_outf(const at::Tensor & self, int64_t diagonal, at::Tensor & out); +TORCH_API at::Tensor & tril_(at::Tensor & self, int64_t diagonal=0); + +} // namespace meta +} // namespace at diff --git a/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_consecutive.h b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_consecutive.h new file mode 100644 index 0000000000000000000000000000000000000000..717684cb94fdae4149e9521679cf17095d5bc7fb --- /dev/null +++ b/parrot/lib/python3.10/site-packages/torch/include/ATen/ops/unique_consecutive.h @@ -0,0 +1,39 @@ +#pragma once + +// @generated by torchgen/gen.py from Function.h + +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + + +#include + +namespace at { + + +// aten::unique_consecutive(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None) -> (Tensor, Tensor, Tensor) +inline ::std::tuple unique_consecutive(const at::Tensor & self, bool return_inverse=false, bool return_counts=false, ::std::optional dim=::std::nullopt) { + return at::_ops::unique_consecutive::call(self, return_inverse, return_counts, dim); +} + +// aten::unique_consecutive.out(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) +inline ::std::tuple unique_consecutive_out(at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, bool return_inverse=false, bool return_counts=false, ::std::optional dim=::std::nullopt) { + return at::_ops::unique_consecutive_out::call(self, return_inverse, return_counts, dim, out0, out1, out2); +} +// aten::unique_consecutive.out(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) +inline ::std::tuple unique_consecutive_outf(const at::Tensor & self, bool return_inverse, bool return_counts, ::std::optional dim, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { + return at::_ops::unique_consecutive_out::call(self, return_inverse, return_counts, dim, out0, out1, out2); +} + +}