2022 FIFA World Cup Croatia vs. Morocco odds, picks: Predictions and best bets for Saturday's third-place match from proven soccer expert
RuntimeError at /getsummary/
CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 1.46 GiB already allocated; 13.69 MiB free; 1.47 GiB reserved in total by PyTorch)
| Request Method: | POST |
|---|---|
| Request URL: | http://192.168.1.145:4080/getsummary/?min=122&max=1000 |
| Django Version: | 3.1.1 |
| Exception Type: | RuntimeError |
| Exception Value: | CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 1.46 GiB already allocated; 13.69 MiB free; 1.47 GiB reserved in total by PyTorch) |
| Exception Location: | /usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 850, in convert |
| Python Executable: | /usr/local/bin/python |
| Python Version: | 3.8.12 |
| Python Path: | ['/app', '/usr/local/bin', '/usr/local/lib/python38.zip', '/usr/local/lib/python3.8', '/usr/local/lib/python3.8/lib-dynload', '/usr/local/lib/python3.8/site-packages'] |
| Server time: | Thu, 15 Dec 2022 23:31:12 +0000 |
Traceback Switch to copy-and-paste view
-
/usr/local/lib/python3.8/site-packages/django/core/handlers/exception.py, line 47, in innerresponse = await sync_to_async(response_for_exception)(request, exc)
return response
return inner
else:
@wraps(get_response)
def inner(request):
try:
response = get_response(request)
…
except Exception as exc:
response = response_for_exception(request, exc)
return response
return inner
Variable Value exc RuntimeError('CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 10.76 GiB total capacity; 1.46 GiB already allocated; 13.69 MiB free; 1.47 GiB reserved in total by PyTorch)')get_response <bound method BaseHandler._get_response of <django.core.handlers.wsgi.WSGIHandler object at 0x7f79d1149e50>>
request <WSGIRequest: POST '/getsummary/?min=122&max=1000'>
-
/usr/local/lib/python3.8/site-packages/django/core/handlers/base.py, line 165, in _get_responsedef _get_response(self, request):
"""
Resolve and call the view, then apply view, exception, and
template_response middleware. This method is everything that happens
inside the request/response middleware.
"""
response = None
callback, callback_args, callback_kwargs = self.resolve_request(request)
…
# Apply view middleware
for middleware_method in self._view_middleware:
response = middleware_method(request, callback, callback_args, callback_kwargs)
if response:
break
Variable Value request <WSGIRequest: POST '/getsummary/?min=122&max=1000'>
response None
self <django.core.handlers.wsgi.WSGIHandler object at 0x7f79d1149e50>
-
/usr/local/lib/python3.8/site-packages/django/core/handlers/base.py, line 288, in resolve_requestif hasattr(request, 'urlconf'):
urlconf = request.urlconf
set_urlconf(urlconf)
resolver = get_resolver(urlconf)
else:
resolver = get_resolver()
# Resolve the view, and assign the match object back to the request.
resolver_match = resolver.resolve(request.path_info)
…
request.resolver_match = resolver_match
return resolver_match
def check_response(self, response, callback, name=None):
"""
Raise an error if the view returned None or an uncalled coroutine.
Variable Value request <WSGIRequest: POST '/getsummary/?min=122&max=1000'>
resolver <URLResolver 'web_project.urls' (None:None) '^/'>
self <django.core.handlers.wsgi.WSGIHandler object at 0x7f79d1149e50>
-
/usr/local/lib/python3.8/site-packages/django/urls/resolvers.py, line 545, in resolvedef resolve(self, path):
path = str(path) # path may be a reverse_lazy object
tried = []
match = self.pattern.match(path)
if match:
new_path, args, kwargs = match
for pattern in self.url_patterns:
…
try:
sub_match = pattern.resolve(new_path)
except Resolver404 as e:
sub_tried = e.args[0].get('tried')if sub_tried is not None:
tried.extend([pattern] + t for t in sub_tried)
Variable Value args ()
kwargs {}match ('getsummary/', (), {})new_path 'getsummary/'
path '/getsummary/'
self <URLResolver 'web_project.urls' (None:None) '^/'>
tried []
-
/usr/local/lib/python3.8/site-packages/django/utils/functional.py, line 48, in __get__"""
Call the function and put the return value in instance.__dict__ so that
subsequent attribute access on the instance returns the cached value
instead of calling cached_property.__get__().
"""
if instance is None:
return self
res = instance.__dict__[self.name] = self.func(instance)
…
return res
class classproperty:
"""
Decorator that converts a method with a single cls argument into a property
Variable Value cls <class 'django.urls.resolvers.URLResolver'>
instance <URLResolver 'web_project.urls' (None:None) '^/'>
self <django.utils.functional.cached_property object at 0x7f79d1149370>
-
/usr/local/lib/python3.8/site-packages/django/urls/resolvers.py, line 589, in url_patternsreturn import_module(self.urlconf_name)
else:
return self.urlconf_name
@cached_property
def url_patterns(self):
# urlconf_module might be a valid set of patterns, so we default to it
patterns = getattr(self.urlconf_module, "urlpatterns", self.urlconf_module)
…
try:
iter(patterns)
except TypeError as e:
msg = (
"The included URLconf '{name}' does not appear to have any ""patterns in it. If you see valid patterns in the file then "
Variable Value self <URLResolver 'web_project.urls' (None:None) '^/'>
-
/usr/local/lib/python3.8/site-packages/django/utils/functional.py, line 48, in __get__"""
Call the function and put the return value in instance.__dict__ so that
subsequent attribute access on the instance returns the cached value
instead of calling cached_property.__get__().
"""
if instance is None:
return self
res = instance.__dict__[self.name] = self.func(instance)
…
return res
class classproperty:
"""
Decorator that converts a method with a single cls argument into a property
Variable Value cls <class 'django.urls.resolvers.URLResolver'>
instance <URLResolver 'web_project.urls' (None:None) '^/'>
self <django.utils.functional.cached_property object at 0x7f79d1149310>
-
/usr/local/lib/python3.8/site-packages/django/urls/resolvers.py, line 582, in urlconf_moduletried.append([pattern])
raise Resolver404({'tried': tried, 'path': new_path})raise Resolver404({'path': path})@cached_property
def urlconf_module(self):
if isinstance(self.urlconf_name, str):
return import_module(self.urlconf_name)
…
else:
return self.urlconf_name
@cached_property
def url_patterns(self):
# urlconf_module might be a valid set of patterns, so we default to it
Variable Value self <URLResolver 'web_project.urls' (None:None) '^/'>
-
/usr/local/lib/python3.8/importlib/__init__.py, line 127, in import_modulemsg = ("the 'package' argument is required to perform a relative ""import for {!r}")raise TypeError(msg.format(name))
for character in name:
if character != '.':
break
level += 1
return _bootstrap._gcd_import(name[level:], package, level)
…
_RELOADING = {}def reload(module):
Variable Value level 0
name 'web_project.urls'
package None
-
<frozen importlib._bootstrap>, line 1014, in _gcd_import<source code not available>
…
Variable Value level 0
name 'web_project.urls'
package None
-
<frozen importlib._bootstrap>, line 991, in _find_and_load<source code not available>
…
Variable Value import_ <function _gcd_import at 0x7f79d29f4430>
module <object object at 0x7f79d29cb060>
name 'web_project.urls'
-
<frozen importlib._bootstrap>, line 975, in _find_and_load_unlocked<source code not available>
…
Variable Value import_ <function _gcd_import at 0x7f79d29f4430>
name 'web_project.urls'
parent 'web_project'
parent_module <module 'web_project' from '/app/web_project/__init__.py'>
path ['/app/web_project']
spec ModuleSpec(name='web_project.urls', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d0d0>, origin='/app/web_project/urls.py')
-
<frozen importlib._bootstrap>, line 671, in _load_unlocked<source code not available>
…
Variable Value module <module 'web_project.urls' from '/app/web_project/urls.py'>
spec ModuleSpec(name='web_project.urls', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d0d0>, origin='/app/web_project/urls.py')
-
<frozen importlib._bootstrap_external>, line 843, in exec_module<source code not available>
…
Variable Value code <code object <module> at 0x7f79580f3920, file "/app/web_project/urls.py", line 1>
module <module 'web_project.urls' from '/app/web_project/urls.py'>
self <_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d0d0>
-
<frozen importlib._bootstrap>, line 219, in _call_with_frames_removed<source code not available>
…
Variable Value args (<code object <module> at 0x7f79580f3920, file "/app/web_project/urls.py", line 1>, {'__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'Unic… <trimmed 10351 bytes string>f <built-in function exec>
kwds {} -
/app/web_project/urls.py, line 5, in <module>from django.contrib import admin
from django.urls import include, path
urlpatterns = [
path("", include("hello.urls")),…
path('admin/', admin.site.urls)]
Variable Value __builtins__ {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': 'Built-in functions, exceptions, and other objects.\n' '\n' "Noteworthy: None is the `nil' object; Ellipsis represents `...' " 'in slices.', '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__pybind11_internals_v4_gcc_libstdcpp_cxxabi1011__': <capsule object NULL at 0x7f79ba121d50>, '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>), 'abs': <built-in function abs>, 'all': <built-in function all>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'class… <trimmed 6683 bytes string>__cached__ '/app/web_project/__pycache__/urls.cpython-38.pyc'
__doc__ None
__file__ '/app/web_project/urls.py'
__loader__ <_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d0d0>
__name__ 'web_project.urls'
__package__ 'web_project'
__spec__ ModuleSpec(name='web_project.urls', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d0d0>, origin='/app/web_project/urls.py')
admin <module 'django.contrib.admin' from '/usr/local/lib/python3.8/site-packages/django/contrib/admin/__init__.py'>
include <function include at 0x7f79d114f5e0>
path functools.partial(<function _path at 0x7f79d114f700>, Pattern=<class 'django.urls.resolvers.RoutePattern'>)
-
/usr/local/lib/python3.8/site-packages/django/urls/conf.py, line 34, in include'provide the namespace argument to include() instead.' % len(arg)
)
else:
# No namespace hint - use manually provided namespace.
urlconf_module = arg
if isinstance(urlconf_module, str):
urlconf_module = import_module(urlconf_module)
…
patterns = getattr(urlconf_module, 'urlpatterns', urlconf_module)
app_name = getattr(urlconf_module, 'app_name', app_name)
if namespace and not app_name:
raise ImproperlyConfigured(
'Specifying a namespace in include() without providing an app_name '
'is not supported. Set the app_name attribute in the included '
Variable Value app_name None
arg 'hello.urls'
namespace None
urlconf_module 'hello.urls'
-
/usr/local/lib/python3.8/importlib/__init__.py, line 127, in import_modulemsg = ("the 'package' argument is required to perform a relative ""import for {!r}")raise TypeError(msg.format(name))
for character in name:
if character != '.':
break
level += 1
return _bootstrap._gcd_import(name[level:], package, level)
…
_RELOADING = {}def reload(module):
Variable Value level 0
name 'hello.urls'
package None
-
<frozen importlib._bootstrap>, line 1014, in _gcd_import<source code not available>
…
Variable Value level 0
name 'hello.urls'
package None
-
<frozen importlib._bootstrap>, line 991, in _find_and_load<source code not available>
…
Variable Value import_ <function _gcd_import at 0x7f79d29f4430>
module <object object at 0x7f79d29cb060>
name 'hello.urls'
-
<frozen importlib._bootstrap>, line 975, in _find_and_load_unlocked<source code not available>
…
Variable Value import_ <function _gcd_import at 0x7f79d29f4430>
name 'hello.urls'
parent 'hello'
parent_module <module 'hello' from '/app/hello/__init__.py'>
path ['/app/hello']
spec ModuleSpec(name='hello.urls', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d940>, origin='/app/hello/urls.py')
-
<frozen importlib._bootstrap>, line 671, in _load_unlocked<source code not available>
…
Variable Value module <module 'hello.urls' from '/app/hello/urls.py'>
spec ModuleSpec(name='hello.urls', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d940>, origin='/app/hello/urls.py')
-
<frozen importlib._bootstrap_external>, line 843, in exec_module<source code not available>
…
Variable Value code <code object <module> at 0x7f79580f35b0, file "/app/hello/urls.py", line 1>
module <module 'hello.urls' from '/app/hello/urls.py'>
self <_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d940>
-
<frozen importlib._bootstrap>, line 219, in _call_with_frames_removed<source code not available>
…
Variable Value args (<code object <module> at 0x7f79580f35b0, file "/app/hello/urls.py", line 1>, {'__builtins__': {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTra… <trimmed 10135 bytes string>f <built-in function exec>
kwds {} -
/app/hello/urls.py, line 2, in <module>from django.urls import path
from hello import views
…
urlpatterns = [
path("", views.home, name="home"),path("text_summary/", views.text_summary, name="bart summarizing"),path("getsummary/", views.getsummary, name="bart summarizing"),path("title_summary/", views.title_summary, name="title summarizing"),
Variable Value __builtins__ {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': 'Built-in functions, exceptions, and other objects.\n' '\n' "Noteworthy: None is the `nil' object; Ellipsis represents `...' " 'in slices.', '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__pybind11_internals_v4_gcc_libstdcpp_cxxabi1011__': <capsule object NULL at 0x7f79ba121d50>, '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>), 'abs': <built-in function abs>, 'all': <built-in function all>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'class… <trimmed 6683 bytes string>__cached__ '/app/hello/__pycache__/urls.cpython-38.pyc'
__doc__ None
__file__ '/app/hello/urls.py'
__loader__ <_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d940>
__name__ 'hello.urls'
__package__ 'hello'
__spec__ ModuleSpec(name='hello.urls', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953f0d940>, origin='/app/hello/urls.py')
path functools.partial(<function _path at 0x7f79d114f700>, Pattern=<class 'django.urls.resolvers.RoutePattern'>)
-
/app/hello/views.py, line 4, in <module>from django.http import HttpResponse
from django.http.response import FileResponse
from django.views.decorators.csrf import csrf_exempt
from hello import config
…
import json
#from transformers import pipeline
#from keytotext import pipeline
import http
Variable Value FileResponse <class 'django.http.response.FileResponse'>
HttpResponse <class 'django.http.response.HttpResponse'>
__builtins__ {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': 'Built-in functions, exceptions, and other objects.\n' '\n' "Noteworthy: None is the `nil' object; Ellipsis represents `...' " 'in slices.', '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__pybind11_internals_v4_gcc_libstdcpp_cxxabi1011__': <capsule object NULL at 0x7f79ba121d50>, '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>), 'abs': <built-in function abs>, 'all': <built-in function all>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'class… <trimmed 6683 bytes string>__cached__ '/app/hello/__pycache__/views.cpython-38.pyc'
__doc__ None
__file__ '/app/hello/views.py'
__loader__ <_frozen_importlib_external.SourceFileLoader object at 0x7f7953b3ca00>
__name__ 'hello.views'
__package__ 'hello'
__spec__ ModuleSpec(name='hello.views', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f7953b3ca00>, origin='/app/hello/views.py')
csrf_exempt <function csrf_exempt at 0x7f79d0e281f0>
-
/app/hello/config.py, line 17, in <module>#tokenizer = PegasusTokenizer.from_pretrained('google/pegasus-reddit_tifu')#model = BartForConditionalGeneration.from_pretrained('facebook/bart-large-cnn').to(device)#tokenizer = BartTokenizer.from_pretrained('facebook/bart-large-cnn')#model = BartForConditionalGeneration.from_pretrained('philschmid/bart-large-cnn-samsum').to(device)
model = BartForConditionalGeneration.from_pretrained('./bart-large-cnn-samsum').to(device)…
#model.save_pretrained("./bart-large-cnn-samsum")#tokenizer = BartTokenizer.from_pretrained('philschmid/bart-large-cnn-samsum')tokenizer = BartTokenizer.from_pretrained('./bart-large-cnn-samsum')
Variable Value BartConfig <class 'transformers.models.bart.configuration_bart.BartConfig'>
BartForConditionalGeneration <class 'transformers.models.bart.modeling_bart.BartForConditionalGeneration'>
BartTokenizer <class 'transformers.models.bart.tokenization_bart.BartTokenizer'>
__builtins__ {'ArithmeticError': <class 'ArithmeticError'>, 'AssertionError': <class 'AssertionError'>, 'AttributeError': <class 'AttributeError'>, 'BaseException': <class 'BaseException'>, 'BlockingIOError': <class 'BlockingIOError'>, 'BrokenPipeError': <class 'BrokenPipeError'>, 'BufferError': <class 'BufferError'>, 'BytesWarning': <class 'BytesWarning'>, 'ChildProcessError': <class 'ChildProcessError'>, 'ConnectionAbortedError': <class 'ConnectionAbortedError'>, 'ConnectionError': <class 'ConnectionError'>, 'ConnectionRefusedError': <class 'ConnectionRefusedError'>, 'ConnectionResetError': <class 'ConnectionResetError'>, 'DeprecationWarning': <class 'DeprecationWarning'>, 'EOFError': <class 'EOFError'>, 'Ellipsis': Ellipsis, 'EnvironmentError': <class 'OSError'>, 'Exception': <class 'Exception'>, 'False': False, 'FileExistsError': <class 'FileExistsError'>, 'FileNotFoundError': <class 'FileNotFoundError'>, 'FloatingPointError': <class 'FloatingPointError'>, 'FutureWarning': <class 'FutureWarning'>, 'GeneratorExit': <class 'GeneratorExit'>, 'IOError': <class 'OSError'>, 'ImportError': <class 'ImportError'>, 'ImportWarning': <class 'ImportWarning'>, 'IndentationError': <class 'IndentationError'>, 'IndexError': <class 'IndexError'>, 'InterruptedError': <class 'InterruptedError'>, 'IsADirectoryError': <class 'IsADirectoryError'>, 'KeyError': <class 'KeyError'>, 'KeyboardInterrupt': <class 'KeyboardInterrupt'>, 'LookupError': <class 'LookupError'>, 'MemoryError': <class 'MemoryError'>, 'ModuleNotFoundError': <class 'ModuleNotFoundError'>, 'NameError': <class 'NameError'>, 'None': None, 'NotADirectoryError': <class 'NotADirectoryError'>, 'NotImplemented': NotImplemented, 'NotImplementedError': <class 'NotImplementedError'>, 'OSError': <class 'OSError'>, 'OverflowError': <class 'OverflowError'>, 'PendingDeprecationWarning': <class 'PendingDeprecationWarning'>, 'PermissionError': <class 'PermissionError'>, 'ProcessLookupError': <class 'ProcessLookupError'>, 'RecursionError': <class 'RecursionError'>, 'ReferenceError': <class 'ReferenceError'>, 'ResourceWarning': <class 'ResourceWarning'>, 'RuntimeError': <class 'RuntimeError'>, 'RuntimeWarning': <class 'RuntimeWarning'>, 'StopAsyncIteration': <class 'StopAsyncIteration'>, 'StopIteration': <class 'StopIteration'>, 'SyntaxError': <class 'SyntaxError'>, 'SyntaxWarning': <class 'SyntaxWarning'>, 'SystemError': <class 'SystemError'>, 'SystemExit': <class 'SystemExit'>, 'TabError': <class 'TabError'>, 'TimeoutError': <class 'TimeoutError'>, 'True': True, 'TypeError': <class 'TypeError'>, 'UnboundLocalError': <class 'UnboundLocalError'>, 'UnicodeDecodeError': <class 'UnicodeDecodeError'>, 'UnicodeEncodeError': <class 'UnicodeEncodeError'>, 'UnicodeError': <class 'UnicodeError'>, 'UnicodeTranslateError': <class 'UnicodeTranslateError'>, 'UnicodeWarning': <class 'UnicodeWarning'>, 'UserWarning': <class 'UserWarning'>, 'ValueError': <class 'ValueError'>, 'Warning': <class 'Warning'>, 'ZeroDivisionError': <class 'ZeroDivisionError'>, '__build_class__': <built-in function __build_class__>, '__debug__': True, '__doc__': 'Built-in functions, exceptions, and other objects.\n' '\n' "Noteworthy: None is the `nil' object; Ellipsis represents `...' " 'in slices.', '__import__': <built-in function __import__>, '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__name__': 'builtins', '__package__': '', '__pybind11_internals_v4_gcc_libstdcpp_cxxabi1011__': <capsule object NULL at 0x7f79ba121d50>, '__spec__': ModuleSpec(name='builtins', loader=<class '_frozen_importlib.BuiltinImporter'>), 'abs': <built-in function abs>, 'all': <built-in function all>, 'any': <built-in function any>, 'ascii': <built-in function ascii>, 'bin': <built-in function bin>, 'bool': <class 'bool'>, 'breakpoint': <built-in function breakpoint>, 'bytearray': <class 'bytearray'>, 'bytes': <class 'bytes'>, 'callable': <built-in function callable>, 'chr': <built-in function chr>, 'classmethod': <class 'class… <trimmed 6683 bytes string>__cached__ '/app/hello/__pycache__/config.cpython-38.pyc'
__doc__ None
__file__ '/app/hello/config.py'
__loader__ <_frozen_importlib_external.SourceFileLoader object at 0x7f79539df640>
__name__ 'hello.config'
__package__ 'hello'
__spec__ ModuleSpec(name='hello.config', loader=<_frozen_importlib_external.SourceFileLoader object at 0x7f79539df640>, origin='/app/hello/config.py')
device device(type='cuda')
torch <module 'torch' from '/usr/local/lib/python3.8/site-packages/torch/__init__.py'>
-
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 852, in todef convert(t):
if convert_to_format is not None and t.dim() in (4, 5):
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None,
non_blocking, memory_format=convert_to_format)
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
return self._apply(convert)
…
def register_backward_hook(
self, hook: Callable[['Module', _grad_t, _grad_t], Union[None, Tensor]]
) -> RemovableHandle:
r"""Registers a backward hook on the module.
Variable Value args (device(type='cuda'),)
convert <function Module.to.<locals>.convert at 0x7f7960363430>
convert_to_format None
device device(type='cuda')
dtype None
kwargs {}non_blocking False
self BartForConditionalGeneration( (model): BartModel( (shared): Embedding(50264, 1024, padding_idx=1) (encoder): BartEncoder( (embed_tokens): Embedding(50264, 1024, padding_idx=1) (embed_positions): BartLearnedPositionalEmbedding(1026, 1024) (layers): ModuleList( (0): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (4): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (5): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, b… <trimmed 23463 bytes string> -
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 530, in _applyif buffer not in mod._buffers.values():
raise AttributeError("`" + buffer_name + "` is not a buffer")return buffer
def _apply(self, fn):
for module in self.children():
module._apply(fn)
…
def compute_should_use_set_data(tensor, tensor_applied):
if torch._has_compatible_shallow_copy_type(tensor, tensor_applied):
# If the new tensor has compatible tensor type as the existing tensor,
# the current behavior is to change the tensor in-place using `.data =`,
# and the future behavior is to overwrite the existing tensor. However,
Variable Value fn <function Module.to.<locals>.convert at 0x7f7960363430>
module BartModel( (shared): Embedding(50264, 1024, padding_idx=1) (encoder): BartEncoder( (embed_tokens): Embedding(50264, 1024, padding_idx=1) (embed_positions): BartLearnedPositionalEmbedding(1026, 1024) (layers): ModuleList( (0): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (4): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (5): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) … <trimmed 22574 bytes string>self BartForConditionalGeneration( (model): BartModel( (shared): Embedding(50264, 1024, padding_idx=1) (encoder): BartEncoder( (embed_tokens): Embedding(50264, 1024, padding_idx=1) (embed_positions): BartLearnedPositionalEmbedding(1026, 1024) (layers): ModuleList( (0): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (4): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (5): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, b… <trimmed 23463 bytes string> -
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 530, in _applyif buffer not in mod._buffers.values():
raise AttributeError("`" + buffer_name + "` is not a buffer")return buffer
def _apply(self, fn):
for module in self.children():
module._apply(fn)
…
def compute_should_use_set_data(tensor, tensor_applied):
if torch._has_compatible_shallow_copy_type(tensor, tensor_applied):
# If the new tensor has compatible tensor type as the existing tensor,
# the current behavior is to change the tensor in-place using `.data =`,
# and the future behavior is to overwrite the existing tensor. However,
Variable Value fn <function Module.to.<locals>.convert at 0x7f7960363430>
module BartDecoder( (embed_tokens): Embedding(50264, 1024, padding_idx=1) (embed_positions): BartLearnedPositionalEmbedding(1026, 1024) (layers): ModuleList( (0): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_pro… <trimmed 13420 bytes string>self BartModel( (shared): Embedding(50264, 1024, padding_idx=1) (encoder): BartEncoder( (embed_tokens): Embedding(50264, 1024, padding_idx=1) (embed_positions): BartLearnedPositionalEmbedding(1026, 1024) (layers): ModuleList( (0): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (4): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (5): BartEncoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) … <trimmed 22574 bytes string> -
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 530, in _applyif buffer not in mod._buffers.values():
raise AttributeError("`" + buffer_name + "` is not a buffer")return buffer
def _apply(self, fn):
for module in self.children():
module._apply(fn)
…
def compute_should_use_set_data(tensor, tensor_applied):
if torch._has_compatible_shallow_copy_type(tensor, tensor_applied):
# If the new tensor has compatible tensor type as the existing tensor,
# the current behavior is to change the tensor in-place using `.data =`,
# and the future behavior is to overwrite the existing tensor. However,
Variable Value fn <function Module.to.<locals>.convert at 0x7f7960363430>
module ModuleList( (0): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias… <trimmed 12735 bytes string>self BartDecoder( (embed_tokens): Embedding(50264, 1024, padding_idx=1) (embed_positions): BartLearnedPositionalEmbedding(1026, 1024) (layers): ModuleList( (0): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_pro… <trimmed 13420 bytes string> -
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 530, in _applyif buffer not in mod._buffers.values():
raise AttributeError("`" + buffer_name + "` is not a buffer")return buffer
def _apply(self, fn):
for module in self.children():
module._apply(fn)
…
def compute_should_use_set_data(tensor, tensor_applied):
if torch._has_compatible_shallow_copy_type(tensor, tensor_applied):
# If the new tensor has compatible tensor type as the existing tensor,
# the current behavior is to change the tensor in-place using `.data =`,
# and the future behavior is to overwrite the existing tensor. However,
Variable Value fn <function Module.to.<locals>.convert at 0x7f7960363430>
module BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) )self ModuleList( (0): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias… <trimmed 12735 bytes string> -
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 530, in _applyif buffer not in mod._buffers.values():
raise AttributeError("`" + buffer_name + "` is not a buffer")return buffer
def _apply(self, fn):
for module in self.children():
module._apply(fn)
…
def compute_should_use_set_data(tensor, tensor_applied):
if torch._has_compatible_shallow_copy_type(tensor, tensor_applied):
# If the new tensor has compatible tensor type as the existing tensor,
# the current behavior is to change the tensor in-place using `.data =`,
# and the future behavior is to overwrite the existing tensor. However,
Variable Value fn <function Module.to.<locals>.convert at 0x7f7960363430>
module BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) )
self BartDecoderLayer( (self_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (self_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (encoder_attn): BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) ) (encoder_attn_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (fc1): Linear(in_features=1024, out_features=4096, bias=True) (fc2): Linear(in_features=4096, out_features=1024, bias=True) (final_layer_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) -
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 530, in _applyif buffer not in mod._buffers.values():
raise AttributeError("`" + buffer_name + "` is not a buffer")return buffer
def _apply(self, fn):
for module in self.children():
module._apply(fn)
…
def compute_should_use_set_data(tensor, tensor_applied):
if torch._has_compatible_shallow_copy_type(tensor, tensor_applied):
# If the new tensor has compatible tensor type as the existing tensor,
# the current behavior is to change the tensor in-place using `.data =`,
# and the future behavior is to overwrite the existing tensor. However,
Variable Value fn <function Module.to.<locals>.convert at 0x7f7960363430>
module Linear(in_features=1024, out_features=1024, bias=True)
self BartAttention( (k_proj): Linear(in_features=1024, out_features=1024, bias=True) (v_proj): Linear(in_features=1024, out_features=1024, bias=True) (q_proj): Linear(in_features=1024, out_features=1024, bias=True) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) )
-
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 552, in _applyfor key, param in self._parameters.items():
if param is not None:
# Tensors stored in modules are graph leaves, and we don't want to
# track autograd history of `param_applied`, so we have to use
# `with torch.no_grad():`
with torch.no_grad():
param_applied = fn(param)
…
should_use_set_data = compute_should_use_set_data(param, param_applied)
if should_use_set_data:
param.data = param_applied
else:
assert isinstance(param, Parameter)
assert param.is_leaf
Variable Value compute_should_use_set_data <function Module._apply.<locals>.compute_should_use_set_data at 0x7f796040f8b0>
fn <function Module.to.<locals>.convert at 0x7f7960363430>
key 'weight'
param Parameter containing: tensor([[-0.0432, -0.0172, 0.0116, ..., 0.0431, -0.0731, 0.1250], [-0.0366, 0.0531, 0.0582, ..., 0.0604, 0.0161, 0.1752], [ 0.0065, -0.0547, -0.0356, ..., 0.0239, 0.0537, 0.0665], ..., [ 0.0140, 0.0736, 0.0722, ..., -0.0131, 0.0430, -0.0239], [ 0.0933, 0.1548, 0.0380, ..., -0.0107, -0.0084, -0.0023], [ 0.0367, 0.0416, -0.0596, ..., -0.1075, 0.1574, 0.0982]], requires_grad=True)self Linear(in_features=1024, out_features=1024, bias=True)
-
/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py, line 850, in convert"Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.md "
"if a complex module does not work as expected.")
def convert(t):
if convert_to_format is not None and t.dim() in (4, 5):
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None,
non_blocking, memory_format=convert_to_format)
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
…
return self._apply(convert)
def register_backward_hook(
self, hook: Callable[['Module', _grad_t, _grad_t], Union[None, Tensor]]
) -> RemovableHandle:
Variable Value convert_to_format None
device device(type='cuda')
dtype None
non_blocking False
t Parameter containing: tensor([[-0.0432, -0.0172, 0.0116, ..., 0.0431, -0.0731, 0.1250], [-0.0366, 0.0531, 0.0582, ..., 0.0604, 0.0161, 0.1752], [ 0.0065, -0.0547, -0.0356, ..., 0.0239, 0.0537, 0.0665], ..., [ 0.0140, 0.0736, 0.0722, ..., -0.0131, 0.0430, -0.0239], [ 0.0933, 0.1548, 0.0380, ..., -0.0107, -0.0084, -0.0023], [ 0.0367, 0.0416, -0.0596, ..., -0.1075, 0.1574, 0.0982]], requires_grad=True)
Request information
USER
AnonymousUser
GET
| Variable | Value |
|---|---|
| min | '122' |
| max | '1000' |
POST
No POST data
FILES
No FILES data
COOKIES
No cookie data
META
| Variable | Value |
|---|---|
| CONTENT_LENGTH | '2470' |
| CONTENT_TYPE | 'text/plain; charset=utf-8' |
| HTTP_ACCEPT_ENCODING | 'gzip, deflate, br' |
| HTTP_HOST | '192.168.1.145:4080' |
| PATH_INFO | '/getsummary/' |
| QUERY_STRING | 'min=122&max=1000' |
| RAW_URI | '/getsummary/?min=122&max=1000' |
| REMOTE_ADDR | '192.168.1.190' |
| REMOTE_PORT | '55704' |
| REQUEST_METHOD | 'POST' |
| SCRIPT_NAME | '' |
| SERVER_NAME | '0.0.0.0' |
| SERVER_PORT | '4080' |
| SERVER_PROTOCOL | 'HTTP/1.1' |
| SERVER_SOFTWARE | 'gunicorn/20.0.4' |
| gunicorn.socket | <socket.socket fd=9, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=0, laddr=('172.17.0.2', 4080), raddr=('192.168.1.190', 55704)> |
| wsgi.errors | <gunicorn.http.wsgi.WSGIErrorsWrapper object at 0x7f7953fb39d0> |
| wsgi.file_wrapper | <class 'gunicorn.http.wsgi.FileWrapper'> |
| wsgi.input | <gunicorn.http.body.Body object at 0x7f7953fb3b80> |
| wsgi.input_terminated | True |
| wsgi.multiprocess | False |
| wsgi.multithread | False |
| wsgi.run_once | False |
| wsgi.url_scheme | 'http' |
| wsgi.version | (1, 0) |
Settings
Using settings module web_project.settings
| Setting | Value |
|---|---|
| ABSOLUTE_URL_OVERRIDES | {} |
| ADMINS | [] |
| ALLOWED_HOSTS | ['*'] |
| APPEND_SLASH | True |
| AUTHENTICATION_BACKENDS | ['django.contrib.auth.backends.ModelBackend'] |
| AUTH_PASSWORD_VALIDATORS | '********************' |
| AUTH_USER_MODEL | 'auth.User' |
| BASE_DIR | PosixPath('/app') |
| CACHES | {'default': {'BACKEND': 'django.core.cache.backends.locmem.LocMemCache'}} |
| CACHE_MIDDLEWARE_ALIAS | 'default' |
| CACHE_MIDDLEWARE_KEY_PREFIX | '********************' |
| CACHE_MIDDLEWARE_SECONDS | 600 |
| CSRF_COOKIE_AGE | 31449600 |
| CSRF_COOKIE_DOMAIN | None |
| CSRF_COOKIE_HTTPONLY | False |
| CSRF_COOKIE_NAME | 'csrftoken' |
| CSRF_COOKIE_PATH | '/' |
| CSRF_COOKIE_SAMESITE | 'Lax' |
| CSRF_COOKIE_SECURE | False |
| CSRF_FAILURE_VIEW | 'django.views.csrf.csrf_failure' |
| CSRF_HEADER_NAME | 'HTTP_X_CSRFTOKEN' |
| CSRF_TRUSTED_ORIGINS | [] |
| CSRF_USE_SESSIONS | False |
| DATABASES | {'default': {'ATOMIC_REQUESTS': False,
'AUTOCOMMIT': True,
'CONN_MAX_AGE': 0,
'ENGINE': 'django.db.backends.sqlite3',
'HOST': '',
'NAME': PosixPath('/app/db.sqlite3'),
'OPTIONS': {},
'PASSWORD': '********************',
'PORT': '',
'TEST': {'CHARSET': None,
'COLLATION': None,
'MIGRATE': True,
'MIRROR': None,
'NAME': None},
'TIME_ZONE': None,
'USER': ''}} |
| DATABASE_ROUTERS | [] |
| DATA_UPLOAD_MAX_MEMORY_SIZE | 2621440 |
| DATA_UPLOAD_MAX_NUMBER_FIELDS | 1000 |
| DATETIME_FORMAT | 'N j, Y, P' |
| DATETIME_INPUT_FORMATS | ['%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S.%f', '%Y-%m-%d %H:%M', '%m/%d/%Y %H:%M:%S', '%m/%d/%Y %H:%M:%S.%f', '%m/%d/%Y %H:%M', '%m/%d/%y %H:%M:%S', '%m/%d/%y %H:%M:%S.%f', '%m/%d/%y %H:%M'] |
| DATE_FORMAT | 'N j, Y' |
| DATE_INPUT_FORMATS | ['%Y-%m-%d', '%m/%d/%Y', '%m/%d/%y', '%b %d %Y', '%b %d, %Y', '%d %b %Y', '%d %b, %Y', '%B %d %Y', '%B %d, %Y', '%d %B %Y', '%d %B, %Y'] |
| DEBUG | True |
| DEBUG_PROPAGATE_EXCEPTIONS | False |
| DECIMAL_SEPARATOR | '.' |
| DEFAULT_AUTO_FIELD | 'django.db.models.BigAutoField' |
| DEFAULT_CHARSET | 'utf-8' |
| DEFAULT_EXCEPTION_REPORTER | 'django.views.debug.ExceptionReporter' |
| DEFAULT_EXCEPTION_REPORTER_FILTER | 'django.views.debug.SafeExceptionReporterFilter' |
| DEFAULT_FILE_STORAGE | 'django.core.files.storage.FileSystemStorage' |
| DEFAULT_FROM_EMAIL | 'webmaster@localhost' |
| DEFAULT_HASHING_ALGORITHM | 'sha256' |
| DEFAULT_INDEX_TABLESPACE | '' |
| DEFAULT_TABLESPACE | '' |
| DISALLOWED_USER_AGENTS | [] |
| EMAIL_BACKEND | 'django.core.mail.backends.smtp.EmailBackend' |
| EMAIL_HOST | 'localhost' |
| EMAIL_HOST_PASSWORD | '********************' |
| EMAIL_HOST_USER | '' |
| EMAIL_PORT | 25 |
| EMAIL_SSL_CERTFILE | None |
| EMAIL_SSL_KEYFILE | '********************' |
| EMAIL_SUBJECT_PREFIX | '[Django] ' |
| EMAIL_TIMEOUT | None |
| EMAIL_USE_LOCALTIME | False |
| EMAIL_USE_SSL | False |
| EMAIL_USE_TLS | False |
| FILE_UPLOAD_DIRECTORY_PERMISSIONS | None |
| FILE_UPLOAD_HANDLERS | ['django.core.files.uploadhandler.MemoryFileUploadHandler', 'django.core.files.uploadhandler.TemporaryFileUploadHandler'] |
| FILE_UPLOAD_MAX_MEMORY_SIZE | 2621440 |
| FILE_UPLOAD_PERMISSIONS | 420 |
| FILE_UPLOAD_TEMP_DIR | None |
| FIRST_DAY_OF_WEEK | 0 |
| FIXTURE_DIRS | [] |
| FORCE_SCRIPT_NAME | None |
| FORMAT_MODULE_PATH | None |
| FORM_RENDERER | 'django.forms.renderers.DjangoTemplates' |
| IGNORABLE_404_URLS | [] |
| INSTALLED_APPS | ['django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles'] |
| INTERNAL_IPS | [] |
| LANGUAGES | [('af', 'Afrikaans'),
('ar', 'Arabic'),
('ar-dz', 'Algerian Arabic'),
('ast', 'Asturian'),
('az', 'Azerbaijani'),
('bg', 'Bulgarian'),
('be', 'Belarusian'),
('bn', 'Bengali'),
('br', 'Breton'),
('bs', 'Bosnian'),
('ca', 'Catalan'),
('cs', 'Czech'),
('cy', 'Welsh'),
('da', 'Danish'),
('de', 'German'),
('dsb', 'Lower Sorbian'),
('el', 'Greek'),
('en', 'English'),
('en-au', 'Australian English'),
('en-gb', 'British English'),
('eo', 'Esperanto'),
('es', 'Spanish'),
('es-ar', 'Argentinian Spanish'),
('es-co', 'Colombian Spanish'),
('es-mx', 'Mexican Spanish'),
('es-ni', 'Nicaraguan Spanish'),
('es-ve', 'Venezuelan Spanish'),
('et', 'Estonian'),
('eu', 'Basque'),
('fa', 'Persian'),
('fi', 'Finnish'),
('fr', 'French'),
('fy', 'Frisian'),
('ga', 'Irish'),
('gd', 'Scottish Gaelic'),
('gl', 'Galician'),
('he', 'Hebrew'),
('hi', 'Hindi'),
('hr', 'Croatian'),
('hsb', 'Upper Sorbian'),
('hu', 'Hungarian'),
('hy', 'Armenian'),
('ia', 'Interlingua'),
('id', 'Indonesian'),
('ig', 'Igbo'),
('io', 'Ido'),
('is', 'Icelandic'),
('it', 'Italian'),
('ja', 'Japanese'),
('ka', 'Georgian'),
('kab', 'Kabyle'),
('kk', 'Kazakh'),
('km', 'Khmer'),
('kn', 'Kannada'),
('ko', 'Korean'),
('ky', 'Kyrgyz'),
('lb', 'Luxembourgish'),
('lt', 'Lithuanian'),
('lv', 'Latvian'),
('mk', 'Macedonian'),
('ml', 'Malayalam'),
('mn', 'Mongolian'),
('mr', 'Marathi'),
('my', 'Burmese'),
('nb', 'Norwegian Bokmål'),
('ne', 'Nepali'),
('nl', 'Dutch'),
('nn', 'Norwegian Nynorsk'),
('os', 'Ossetic'),
('pa', 'Punjabi'),
('pl', 'Polish'),
('pt', 'Portuguese'),
('pt-br', 'Brazilian Portuguese'),
('ro', 'Romanian'),
('ru', 'Russian'),
('sk', 'Slovak'),
('sl', 'Slovenian'),
('sq', 'Albanian'),
('sr', 'Serbian'),
('sr-latn', 'Serbian Latin'),
('sv', 'Swedish'),
('sw', 'Swahili'),
('ta', 'Tamil'),
('te', 'Telugu'),
('tg', 'Tajik'),
('th', 'Thai'),
('tk', 'Turkmen'),
('tr', 'Turkish'),
('tt', 'Tatar'),
('udm', 'Udmurt'),
('uk', 'Ukrainian'),
('ur', 'Urdu'),
('uz', 'Uzbek'),
('vi', 'Vietnamese'),
('zh-hans', 'Simplified Chinese'),
('zh-hant', 'Traditional Chinese')] |
| LANGUAGES_BIDI | ['he', 'ar', 'ar-dz', 'fa', 'ur'] |
| LANGUAGE_CODE | 'en-us' |
| LANGUAGE_COOKIE_AGE | None |
| LANGUAGE_COOKIE_DOMAIN | None |
| LANGUAGE_COOKIE_HTTPONLY | False |
| LANGUAGE_COOKIE_NAME | 'django_language' |
| LANGUAGE_COOKIE_PATH | '/' |
| LANGUAGE_COOKIE_SAMESITE | None |
| LANGUAGE_COOKIE_SECURE | False |
| LOCALE_PATHS | [] |
| LOGGING | {} |
| LOGGING_CONFIG | 'logging.config.dictConfig' |
| LOGIN_REDIRECT_URL | '/accounts/profile/' |
| LOGIN_URL | '/accounts/login/' |
| LOGOUT_REDIRECT_URL | None |
| MANAGERS | [] |
| MEDIA_ROOT | '' |
| MEDIA_URL | '/' |
| MESSAGE_STORAGE | 'django.contrib.messages.storage.fallback.FallbackStorage' |
| MIDDLEWARE | ['django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware'] |
| MIGRATION_MODULES | {} |
| MONTH_DAY_FORMAT | 'F j' |
| NUMBER_GROUPING | 0 |
| PASSWORD_HASHERS | '********************' |
| PASSWORD_RESET_TIMEOUT | '********************' |
| PASSWORD_RESET_TIMEOUT_DAYS | '********************' |
| PREPEND_WWW | False |
| ROOT_URLCONF | 'web_project.urls' |
| SECRET_KEY | '********************' |
| SECURE_BROWSER_XSS_FILTER | False |
| SECURE_CONTENT_TYPE_NOSNIFF | True |
| SECURE_HSTS_INCLUDE_SUBDOMAINS | False |
| SECURE_HSTS_PRELOAD | False |
| SECURE_HSTS_SECONDS | 0 |
| SECURE_PROXY_SSL_HEADER | None |
| SECURE_REDIRECT_EXEMPT | [] |
| SECURE_REFERRER_POLICY | 'same-origin' |
| SECURE_SSL_HOST | None |
| SECURE_SSL_REDIRECT | False |
| SERVER_EMAIL | 'root@localhost' |
| SESSION_CACHE_ALIAS | 'default' |
| SESSION_COOKIE_AGE | 1209600 |
| SESSION_COOKIE_DOMAIN | None |
| SESSION_COOKIE_HTTPONLY | True |
| SESSION_COOKIE_NAME | 'sessionid' |
| SESSION_COOKIE_PATH | '/' |
| SESSION_COOKIE_SAMESITE | 'Lax' |
| SESSION_COOKIE_SECURE | False |
| SESSION_ENGINE | 'django.contrib.sessions.backends.db' |
| SESSION_EXPIRE_AT_BROWSER_CLOSE | False |
| SESSION_FILE_PATH | None |
| SESSION_SAVE_EVERY_REQUEST | False |
| SESSION_SERIALIZER | 'django.contrib.sessions.serializers.JSONSerializer' |
| SETTINGS_MODULE | 'web_project.settings' |
| SHORT_DATETIME_FORMAT | 'm/d/Y P' |
| SHORT_DATE_FORMAT | 'm/d/Y' |
| SIGNING_BACKEND | 'django.core.signing.TimestampSigner' |
| SILENCED_SYSTEM_CHECKS | [] |
| STATICFILES_DIRS | [] |
| STATICFILES_FINDERS | ['django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder'] |
| STATICFILES_STORAGE | 'django.contrib.staticfiles.storage.StaticFilesStorage' |
| STATIC_ROOT | None |
| STATIC_URL | '/static/' |
| TEMPLATES | [{'APP_DIRS': True,
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'OPTIONS': {'context_processors': ['django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages']}}] |
| TEST_NON_SERIALIZED_APPS | [] |
| TEST_RUNNER | 'django.test.runner.DiscoverRunner' |
| THOUSAND_SEPARATOR | ',' |
| TIME_FORMAT | 'P' |
| TIME_INPUT_FORMATS | ['%H:%M:%S', '%H:%M:%S.%f', '%H:%M'] |
| TIME_ZONE | 'UTC' |
| USE_I18N | True |
| USE_L10N | True |
| USE_THOUSAND_SEPARATOR | False |
| USE_TZ | True |
| USE_X_FORWARDED_HOST | False |
| USE_X_FORWARDED_PORT | False |
| WSGI_APPLICATION | 'web_project.wsgi.application' |
| X_FRAME_OPTIONS | 'DENY' |
| YEAR_MONTH_FORMAT | 'F Y' |
You're seeing this error because you have DEBUG = True in your
Django settings file. Change that to False, and Django will
display a standard page generated by the handler for this status code.
