id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
2,059 | import numpy as np
import matplotlib.pyplot as plt
from scipy.special import binom
from numpy.linalg import norm
def num_bezier(n_ctrl, degree=3):
def plot_control_polygon(Cp, degree=3, lw=0.5, linecolor=np.ones(3)*0.1):
n_bezier = num_bezier(len(Cp), degree)
for i in range(n_bezier):
cp = Cp[i*degree:... | null |
2,060 | import argparse
import traceback
import shutil
import logging
import yaml
import sys
import os
import torch
import numpy as np
import torch.utils.tensorboard as tb
from runners.diffusion import Diffusion
torch.set_printoptions(sci_mode=False)
def dict2namespace(config):
namespace = argparse.Namespace()
for key,... | null |
2,061 | import torch
def noise_estimation_loss(model,
x0: torch.Tensor,
t: torch.LongTensor,
e: torch.Tensor,
b: torch.Tensor, keepdim=False):
a = (1-b).cumprod(dim=0).index_select(0, t).view(-1, 1, 1, 1)
x = x0 * a... | null |
2,062 | import os, hashlib
import requests
from tqdm import tqdm
URL_MAP = {
"cifar10": "https://heibox.uni-heidelberg.de/f/869980b53bf5416c8a28/?dl=1",
"ema_cifar10": "https://heibox.uni-heidelberg.de/f/2e4f01e2d9ee49bab1d5/?dl=1",
"lsun_bedroom": "https://heibox.uni-heidelberg.de/f/f179d4f21ebc4d43bbfe/?dl=1",
... | null |
2,063 | import torch
def compute_alpha(beta, t):
beta = torch.cat([torch.zeros(1).to(beta.device), beta], dim=0)
a = (1 - beta).cumprod(dim=0).index_select(0, t + 1).view(-1, 1, 1, 1)
return a
def generalized_steps(x, seq, model, b, **kwargs):
with torch.no_grad():
n = x.size(0)
seq_next = [-1]... | null |
2,064 | import torch
def compute_alpha(beta, t):
beta = torch.cat([torch.zeros(1).to(beta.device), beta], dim=0)
a = (1 - beta).cumprod(dim=0).index_select(0, t + 1).view(-1, 1, 1, 1)
return a
def ddpm_steps(x, seq, model, b, **kwargs):
with torch.no_grad():
n = x.size(0)
seq_next = [-1] + list... | null |
2,065 | import os
import logging
import time
import glob
import numpy as np
import tqdm
import torch
import torch.utils.data as data
from models.diffusion import Model
from models.ema import EMAHelper
from functions import get_optimizer
from functions.losses import loss_registry
from datasets import get_dataset, data_transform... | null |
2,066 | import os
import logging
import time
import glob
import numpy as np
import tqdm
import torch
import torch.utils.data as data
from models.diffusion import Model
from models.ema import EMAHelper
from functions import get_optimizer
from functions.losses import loss_registry
from datasets import get_dataset, data_transform... | null |
2,067 | import os
import os.path
import hashlib
import errno
from torch.utils.model_zoo import tqdm
def gen_bar_updater():
pbar = tqdm(total=None)
def bar_update(count, block_size, total_size):
if pbar.total is None and total_size:
pbar.total = total_size
progress_bytes = count * block_size
... | Download a file from a url and place it in root. Args: url (str): URL to download file from root (str): Directory to place downloaded file in filename (str, optional): Name to save the file under. If None, use the basename of the URL md5 (str, optional): MD5 checksum of the download. If None, do not check |
2,068 | import os
import os.path
import hashlib
import errno
from torch.utils.model_zoo import tqdm
The provided code snippet includes necessary dependencies for implementing the `list_dir` function. Write a Python function `def list_dir(root, prefix=False)` to solve the following problem:
List all directories at a given root... | List all directories at a given root Args: root (str): Path to directory whose folders need to be listed prefix (bool, optional): If true, prepends the path to each result, otherwise only returns the name of the directories found |
2,069 | import os
import os.path
import hashlib
import errno
from torch.utils.model_zoo import tqdm
The provided code snippet includes necessary dependencies for implementing the `list_files` function. Write a Python function `def list_files(root, suffix, prefix=False)` to solve the following problem:
List all files ending wi... | List all files ending with a suffix at a given root Args: root (str): Path to directory whose folders need to be listed suffix (str or tuple): Suffix of the files to match, e.g. '.png' or ('.jpg', '.png'). It uses the Python "str.endswith" method and is passed directly prefix (bool, optional): If true, prepends the pat... |
2,070 | import os
import os.path
import hashlib
import errno
from torch.utils.model_zoo import tqdm
def check_integrity(fpath, md5=None):
if md5 is None:
return True
if not os.path.isfile(fpath):
return False
md5o = hashlib.md5()
with open(fpath, 'rb') as f:
# read in 1MB chunks
... | Download a Google Drive file from and place it in root. Args: file_id (str): id of file to be downloaded root (str): Directory to place downloaded file in filename (str, optional): Name to save the file under. If None, use the id of the file. md5 (str, optional): MD5 checksum of the download. If None, do not check |
2,071 | import math
import torch
import torch.nn as nn
The provided code snippet includes necessary dependencies for implementing the `get_timestep_embedding` function. Write a Python function `def get_timestep_embedding(timesteps, embedding_dim)` to solve the following problem:
This matches the implementation in Denoising Di... | This matches the implementation in Denoising Diffusion Probabilistic Models: From Fairseq. Build sinusoidal embeddings. This matches the implementation in tensor2tensor, but differs slightly from the description in Section 3.5 of "Attention Is All You Need". |
2,072 | import math
import torch
import torch.nn as nn
def nonlinearity(x):
# swish
return x*torch.sigmoid(x) | null |
2,073 | import math
import torch
import torch.nn as nn
def Normalize(in_channels):
return torch.nn.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True) | null |
2,074 | from concurrent.futures import ThreadPoolExecutor, as_completed
from contextlib import suppress
from itertools import cycle
from json import load
from logging import basicConfig, getLogger, shutdown
from math import log2, trunc
from multiprocessing import RawValue
from os import urandom as randbytes
from pathlib import... | null |
2,075 | import os
import re
import shutil
import sys
from setuptools import find_namespace_packages, setup
with open('README.rst') as readme:
long_description = readme.read()
with open('requirements/base.txt') as fh:
requirements = [r for r in fh.read().split('\n') if not r.startswith('#')]
The provided code snippet i... | Return package version as listed in `__version__` in `init.py`. |
2,076 | from docutils.nodes import Text
from sphinx.util import logging
def default_role_error(
name, rawtext, text, lineno, inliner, options=None, content=None
):
logger.warning(
(
f"Default role used (`single backticks`): {rawtext}. Did you mean to use "
"two backticks for ``code``, or... | null |
2,077 | from rest_framework.renderers import TemplateHTMLRenderer
from rest_framework.response import Response
from rest_framework.reverse import reverse
from rest_framework.views import APIView
from drf_spectacular.plumbing import get_relative_url, set_query_parameters
from drf_spectacular.settings import spectacular_settings... | null |
2,078 | from drf_spectacular.contrib.rest_polymorphic import PolymorphicSerializerExtension
from drf_spectacular.plumbing import ResolvedComponent
from drf_spectacular.serializers import PolymorphicProxySerializerExtension
from drf_spectacular.settings import spectacular_settings
def rollup_properties(component, resolved_sub_... | null |
2,079 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,080 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,081 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,082 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,083 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,084 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,085 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | obtain model from view via view's queryset. try safer view attribute first before going through get_queryset(), which may perform arbitrary operations. |
2,086 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,087 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,088 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,089 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,090 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | Either build a bearer scheme or a fallback due to OpenAPI 3.0.3 limitations |
2,091 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,092 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,093 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | a model traversal chain "foreignkey.foreignkey.value" can either end with an actual model field instance "value" or a model property function named "value". differentiate the cases. :return: models.Field or function object |
2,094 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | Follow a model lookup `foreignkey__foreignkey__field` in the same way that Django QuerySet.filter() does, returning the final models.Field. |
2,095 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | sort endpoints first alphanumerically by path, then by method order |
2,096 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | convert django style path parameters to OpenAPI parameters. |
2,097 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | convert regex path parameter to OpenAPI parameter, if pattern is explicitly chosen and not the generic non-empty default '[^/.]+'. |
2,098 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,099 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,100 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,101 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,102 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | resolve non-serializable objects like lazy translation strings and OrderedDict |
2,103 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,104 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,105 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | build a mocked request and use original request as reference if available |
2,106 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,107 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,108 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,109 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,110 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | null |
2,111 | import collections
import functools
import hashlib
import inspect
import json
import re
import sys
import types
import typing
import urllib.parse
from abc import ABCMeta
from collections import OrderedDict, defaultdict
from decimal import Decimal
from enum import Enum
from typing import (
Any, DefaultDict, Dict, Ge... | Creates a mocked view for every webhook. The given extend_schema decorator then specifies the expectations on the receiving end of the callback. Effectively simulates a sub-schema from the opposing perspective via a virtual view definition. |
2,112 | import inspect
import sys
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Type, TypeVar, Union
from django.utils.functional import Promise
from rest_framework.fields import Field, empty
from rest_framework.serializers import ListSerializer, Serializer
from rest_framework.settings import api_settings
... | Decorator mainly for the "view" method kind. Partially or completely overrides what would be otherwise generated by drf-spectacular. :param operation_id: replaces the auto-generated operation_id. make sure there are no naming collisions. :param parameters: list of additional or replacement parameters added to the auto-... |
2,113 | import inspect
import sys
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Type, TypeVar, Union
from django.utils.functional import Promise
from rest_framework.fields import Field, empty
from rest_framework.serializers import ListSerializer, Serializer
from rest_framework.settings import api_settings
... | Decorator for the "field" kind. Can be used with ``SerializerMethodField`` (annotate the actual method) or with custom ``serializers.Field`` implementations. If your custom serializer field base class is already the desired type, decoration is not necessary. To override the discovered base class type, you can decorate ... |
2,114 | import inspect
import sys
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Type, TypeVar, Union
from django.utils.functional import Promise
from rest_framework.fields import Field, empty
from rest_framework.serializers import ListSerializer, Serializer
from rest_framework.settings import api_settings
... | Convenience decorator for the "view" kind. Intended for annotating derived view methods that are are not directly present in the view (usually methods like ``list`` or ``retrieve``). Spares you from overriding methods like ``list``, only to perform a super call in the body so that you have have something to attach :fun... |
2,115 | import inspect
import sys
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Type, TypeVar, Union
from django.utils.functional import Promise
from rest_framework.fields import Field, empty
from rest_framework.serializers import ListSerializer, Serializer
from rest_framework.settings import api_settings
... | A helper function to create an inline serializer. Primary use is with :func:`@extend_schema <.extend_schema>`, where one needs an implicit one-off serializer that is not reflected in an actual class. :param name: name of the :param fields: dict with field names as keys and serializer fields as values :param kwargs: opt... |
2,116 | import contextlib
import functools
import inspect
import sys
from collections import defaultdict
from typing import Any, Callable, DefaultDict, List, Optional, Tuple, TypeVar
GENERATOR_STATS = GeneratorStats()
def reset_generator_stats() -> None:
GENERATOR_STATS.reset() | null |
2,117 | import contextlib
import functools
import inspect
import sys
from collections import defaultdict
from typing import Any, Callable, DefaultDict, List, Optional, Tuple, TypeVar
GENERATOR_STATS = GeneratorStats()
def _get_source_location(obj):
try:
sourcefile = inspect.getsourcefile(obj)
except: # noqa: E... | Adds a message to be used as a prefix when emitting warnings and errors. |
2,118 | import contextlib
import functools
import inspect
import sys
from collections import defaultdict
from typing import Any, Callable, DefaultDict, List, Optional, Tuple, TypeVar
F = TypeVar('F', bound=Callable[..., Any])
The provided code snippet includes necessary dependencies for implementing the `cache` function. Writ... | simple polyfill for python < 3.9 |
2,119 | from rest_framework.utils.model_meta import get_field_info
from drf_spectacular.drainage import warn
from drf_spectacular.extensions import OpenApiSerializerExtension, OpenApiSerializerFieldExtension
from drf_spectacular.plumbing import (
ResolvedComponent, build_array_type, build_object_type, follow_field_source, ... | null |
2,120 | from rest_framework.utils.model_meta import get_field_info
from drf_spectacular.drainage import warn
from drf_spectacular.extensions import OpenApiSerializerExtension, OpenApiSerializerFieldExtension
from drf_spectacular.plumbing import (
ResolvedComponent, build_array_type, build_object_type, follow_field_source, ... | null |
2,121 | from rest_framework.utils.model_meta import get_field_info
from drf_spectacular.drainage import warn
from drf_spectacular.extensions import OpenApiSerializerExtension, OpenApiSerializerFieldExtension
from drf_spectacular.plumbing import (
ResolvedComponent, build_array_type, build_object_type, follow_field_source, ... | null |
2,122 | from django.conf import settings
from django.utils.version import get_version_tuple
from rest_framework import serializers
from drf_spectacular.contrib.rest_framework_simplejwt import (
SimpleJWTScheme, TokenRefreshSerializerExtension,
)
from drf_spectacular.drainage import warn
from drf_spectacular.extensions impo... | null |
2,123 | import re
from typing import Optional
from django.utils.module_loading import import_string
def camelize_serializer_fields(result, generator, request, public):
from django.conf import settings
from djangorestframework_camel_case.settings import api_settings
from djangorestframework_camel_case.util import c... | null |
2,124 | from django.core.checks import Error, Warning, register
GENERATOR_STATS = GeneratorStats()
spectacular_settings = SpectacularSettings(
user_settings=getattr(settings, 'SPECTACULAR_SETTINGS', {}), # type: ignore
defaults=SPECTACULAR_DEFAULTS, # type: ignore
import_strings=IMPORT_STRINGS,
)
The provided ... | Perform dummy generation and emit warnings/errors as part of Django's check framework |
2,125 | import re
from collections import defaultdict
from inflection import camelize
from rest_framework.settings import api_settings
from drf_spectacular.drainage import warn
from drf_spectacular.plumbing import (
ResolvedComponent, list_hash, load_enum_name_overrides, safe_ref,
)
from drf_spectacular.settings import spe... | simple replacement of Enum/Choices that globally share the same name and have the same choices. Aids client generation to not generate a separate enum for every occurrence. only takes effect when replacement is guaranteed to be correct. |
2,126 | import re
from collections import defaultdict
from inflection import camelize
from rest_framework.settings import api_settings
from drf_spectacular.drainage import warn
from drf_spectacular.plumbing import (
ResolvedComponent, list_hash, load_enum_name_overrides, safe_ref,
)
from drf_spectacular.settings import spe... | preprocessing hook that filters out {format} suffixed paths, in case format_suffix_patterns is used and {format} path params are unwanted. |
2,127 | from contextlib import contextmanager
from typing import Any, Dict
from django.conf import settings
from rest_framework.settings import APISettings, perform_import
spectacular_settings = SpectacularSettings(
user_settings=getattr(settings, 'SPECTACULAR_SETTINGS', {}), # type: ignore
defaults=SPECTACULAR_DEFAUL... | temporarily patch the global spectacular settings (or do nothing) |
2,128 | from django.utils.module_loading import import_string
The provided code snippet includes necessary dependencies for implementing the `lazy_serializer` function. Write a Python function `def lazy_serializer(path: str)` to solve the following problem:
simulate initiated object but actually load class and init on first u... | simulate initiated object but actually load class and init on first usage |
2,129 | from django.utils.module_loading import import_string
def set_override(obj: Any, prop: str, value: Any) -> Any:
if not hasattr(obj, '_spectacular_annotation'):
obj._spectacular_annotation = {}
elif '_spectacular_annotation' not in obj.__dict__:
obj._spectacular_annotation = obj._spectacular_ann... | null |
2,130 | import json
from collections import namedtuple
from importlib import import_module
from typing import Any, Dict, List, Optional, Type
from django.conf import settings
from django.templatetags.static import static
from django.utils import translation
from django.utils.translation import gettext_lazy as _
from django.vie... | null |
2,131 | import os
import requests
from typing import Dict, Optional, List
from huggingface_hub.utils import build_hf_headers
from text_generation import Client, AsyncClient, __version__
from text_generation.types import DeployedModel
from text_generation.errors import NotSupportedError, parse_error
class DeployedModel(BaseMod... | Get all currently deployed models with text-generation-inference-support Returns: List[DeployedModel]: list of all currently deployed models |
2,132 | import os
import requests
from typing import Dict, Optional, List
from huggingface_hub.utils import build_hf_headers
from text_generation import Client, AsyncClient, __version__
from text_generation.types import DeployedModel
from text_generation.errors import NotSupportedError, parse_error
def parse_error(status_code... | Check if a given model is supported by text-generation-inference Returns: bool: whether the model is supported by this client |
2,133 | import os
import sys
import typer
from pathlib import Path
from loguru import logger
from typing import Optional
from enum import Enum
from huggingface_hub import hf_hub_download
class Quantization(str, Enum):
bitsandbytes = "bitsandbytes"
bitsandbytes_nf4 = "bitsandbytes-nf4"
bitsandbytes_fp4 = "bitsandbyt... | null |
2,134 | import os
import sys
import typer
from pathlib import Path
from loguru import logger
from typing import Optional
from enum import Enum
from huggingface_hub import hf_hub_download
def download_weights(
model_id: str,
revision: Optional[str] = None,
extension: str = ".safetensors",
auto_convert: bool = Tr... | null |
2,135 | import asyncio
import os
import torch
import time
from grpc import aio
from loguru import logger
from grpc_reflection.v1alpha import reflection
from pathlib import Path
from typing import List, Optional
from text_generation_server.cache import Cache
from text_generation_server.interceptor import ExceptionInterceptor
fr... | null |
2,136 | import torch
import time
from dataclasses import dataclass
from opentelemetry import trace
from transformers import (
AutoProcessor,
AutoTokenizer,
PreTrainedTokenizerBase,
ProcessorMixin,
)
from typing import Optional, Tuple, List, Type, Dict
from text_generation_server.models import Model
from text_ge... | null |
2,137 | import torch
import torch.distributed
from transformers import AutoTokenizer, PreTrainedTokenizerBase
from typing import Optional
import os
from text_generation_server.models.custom_modeling.mamba_modeling import (
MambaConfig,
)
from loguru import logger
from text_generation_server.pb import generate_pb2
from text... | null |
2,138 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.modeling_utils import PreTrainedModel
from transformers.models.gpt_neox import GPTNeoXConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_a... | null |
2,139 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.modeling_utils import PreTrainedModel
from transformers.models.gpt_neox import GPTNeoXConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_a... | null |
2,140 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers impo... | null |
2,141 | import torch
import torch.distributed
import os
from shutil import copyfile
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from tokenizers import processors
from transformers.tokenization_utils_fast ... | null |
2,142 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers impo... | null |
2,143 | from typing import Optional, Tuple, Union
import os
import torch
import torch.distributed
import torch.utils.checkpoint
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.activations import ACT2FN
from transformers.file_utils import (
add_code_sample_docstrings,... | null |
2,144 | from typing import Optional, Tuple, Union
import os
import torch
import torch.distributed
import torch.utils.checkpoint
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.activations import ACT2FN
from transformers.file_utils import (
add_code_sample_docstrings,... | null |
2,145 | import torch
import torch.distributed
from torch import nn
from transformers.modeling_utils import PreTrainedModel
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils... | null |
2,146 | import torch
import torch.distributed
import numpy as np
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from loguru import logger
from text_generation_server.utils import paged_attention, flash_attn
... | null |
2,147 | import torch
import torch.distributed
import numpy as np
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from loguru import logger
from text_generation_server.utils import paged_attention, flash_attn
... | null |
2,148 | import torch
import torch.distributed
import numpy as np
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from loguru import logger
from text_generation_server.utils import paged_attention, flash_attn
... | null |
2,149 | import torch
import torch.distributed
import numpy as np
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from loguru import logger
from text_generation_server.utils import paged_attention, flash_attn
... | null |
2,150 | import torch
import torch.distributed
import numpy as np
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from loguru import logger
from text_generation_server.utils import paged_attention, flash_attn
... | null |
2,151 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers import (
TensorParallelRowLinear,
TensorParallelColumnLine... | null |
2,152 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers import (
TensorParallelRowLinear,
TensorParallelColumnLine... | null |
2,153 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers import (
TensorParallelRowLinear,
TensorParallelColumnLine... | null |
2,154 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers import (
TensorParallelRowLinear,
TensorParallelColumnLine... | null |
2,155 | from typing import Callable, List, Optional, Union
from urllib.parse import urlparse
from transformers.feature_extraction_utils import BatchFeature
from transformers.processing_utils import ProcessorMixin
from transformers.tokenization_utils_base import (
BatchEncoding,
PaddingStrategy,
TextInput,
Trunc... | null |
2,156 | from typing import Callable, List, Optional, Union
from urllib.parse import urlparse
from transformers.feature_extraction_utils import BatchFeature
from transformers.processing_utils import ProcessorMixin
from transformers.tokenization_utils_base import (
BatchEncoding,
PaddingStrategy,
TextInput,
Trunc... | null |
2,157 | from typing import Callable, List, Optional, Union
from urllib.parse import urlparse
from transformers.feature_extraction_utils import BatchFeature
from transformers.processing_utils import ProcessorMixin
from transformers.tokenization_utils_base import (
BatchEncoding,
PaddingStrategy,
TextInput,
Trunc... | Checks if the passed string contains a valid url and nothing else. e.g. if space is included it's immediately invalidated the url |
2,158 | import torch
import torch.distributed
from torch import nn
from transformers.activations import ACT2FN
from transformers.configuration_utils import PretrainedConfig
from typing import Optional, List, Tuple
from text_generation_server.utils import paged_attention, flash_attn
from text_generation_server.utils.layers impo... | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.