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 <span class="navbar-brand mb-0 mr-2 h1">memray</span> flamegraph report (memory leaks)
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 title=" The pymalloc allocator holds pools of memory and only allocates
 when all these pools are used. This means that allocations reported when
 pymalloc is active will reflect only the allocations that happen when
 the pools are full. <b>This is what happens at runtime</b> so it is fully
 representative of a normal application but <b>the number of allocations
 and the size may not correspond with the number of Python objects
 created</b> (as pymalloc is reusing memory)."
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 Python Allocator: pymalloc</span>
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 Flames
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 <p><strong>Report generated using <code>--leaks</code> with an arena allocator</strong></p>
 <p>
 This memory leaks report was generated with the pymalloc
 allocator active, but without tracking enabled for object
 deallocations. This will show misleading results because the
 allocator retains memory in memory pools even after the objects
 that requested that memory are deallocated, and Memray won't be
 able to distinguish memory set aside for reuse from leaked memory.
 For a more useful memory leaks report, you should pass the
 <code>--trace-python-allocators</code> flag when profiling your application.
 <a href="https://bloomberg.github.io/memray/python_allocators.html">
 Click here</a> for more information.
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 Command line: <code>quantize.py --model /storage/yiliu7/deepseek-ai/DeepSeek-V2-Lite-Chat/ -t nvfp4 --use_autoround_format --output_dir ./qmodels</code><br>
 Start time: <span id="stats-start-time"> 2025-12-10 05:59:20.435000+00:00</span><br>
 End time: <span id="stats-end-time"> 2025-12-10 05:59:51.749000+00:00</span><br>
 Duration: 0:00:31.314000<br>
 Total number of allocations: 40271815<br>
 Total number of frames seen: 0<br>
 Peak memory usage: 16.8 GB<br>
 Python allocator: pymalloc<br>
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<p>
 The flame graph displays stack frames at allocation, for memory that was leaked during the tracking period (i.e. allocated and not deallocated).
</p>
<div class="alert alert-warning" role="alert">
 Note that the Python allocator doesn't necessarily release memory to the system when Python objects are deallocated and these can still appear as "leaks". If you want to exclude these, you can run your application with the `PYTHONMALLOC=malloc` environment variable set.
</div>
<p>
 The vertical ordering of the stack frames corresponds to the order of function calls, from parent to children.
 The horizontal ordering does not represent the passage of time in the application: they simply represent child frames in arbitrary order.
</p>
<p>
 On the flame graph, each bar represents a stack frame and shows the code which triggered the memory allocation.
 Hovering over the frame you can also see the overall memory allocated in the given frame and its children and the number of times allocations have occurred.
</p>
<p>
 The <b>Show/Hide Irrelevant Frames</b> button can be used to reveal and hide frames which contain allocations in code which might not be
 relevant for the application. These include frames in the CPython eval loop as well as frames introduced by memray during the analysis.
</p>
<p>
 You can find more information in the <a target="_blank" href="https://bloomberg.github.io/memray/flamegraph.html">documentation</a>.
</p>
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self._quantize_rtn()\n","quantize","/home/yiliu7/workspace/auto-round/auto_round/compressors/base.py","0x1"," return func(*args, **kwargs)\n","decorate_context","/usr/local/lib/python3.12/dist-packages/torch/utils/_contextlib.py"," self._quantize_via_rtn_blockwise(all_to_quantized_module_names)\n","_quantize_rtn"," self._quantize_layer_via_rtn(m.tmp_name, to_cpu=self.low_gpu_mem_usage)\n","_quantize_via_rtn_blockwise"," m = m.unwrapper({})\n","_quantize_layer_via_rtn"," wrapper_layer = WrapperWALayer(\n","unwrapper","/home/yiliu7/workspace/auto-round/auto_round/wrapper.py"," super(WrapperWALayer, self).__init__()\n","__init__"," super().__setattr__(\"_load_state_dict_pre_hooks\", OrderedDict())\n","/usr/local/lib/python3.12/dist-packages/torch/nn/modules/module.py"," all_inputs = self.cache_inter_data(all_first_block_names, self.nsamples)\n"," self.calib(nsamples, calib_bs)\n","cache_inter_data"," for data in self.dataloader:\n","calib"," data = self._next_data()\n","__next__","/usr/local/lib/python3.12/dist-packages/torch/utils/data/dataloader.py"," data = self._dataset_fetcher.fetch(index) # may raise StopIteration\n","_next_data"," return self.collate_fn(data)\n","fetch","/usr/local/lib/python3.12/dist-packages/torch/utils/data/_utils/fetch.py"," input_ids_list = input_ids.tolist()\n","collate_batch","/home/yiliu7/workspace/auto-round/auto_round/calib_dataset.py"," from auto_round.calib_dataset import get_dataloader\n","_find_and_load at \u003cfrozen importlib._bootstrap\u003e:1360","_find_and_load","\u0026lt;frozen importlib._bootstrap\u0026gt;","_find_and_load_unlocked at \u003cfrozen importlib._bootstrap\u003e:1331","_find_and_load_unlocked","_load_unlocked at \u003cfrozen importlib._bootstrap\u003e:935","_load_unlocked","exec_module at \u003cfrozen importlib._bootstrap_external\u003e:995","exec_module","\u0026lt;frozen importlib._bootstrap_external\u0026gt;","_call_with_frames_removed at \u003cfrozen importlib._bootstrap\u003e:488","_call_with_frames_removed","from datasets import Dataset, Features, IterableDataset, Sequence, Value, concatenate_datasets, load_dataset\n","\u0026lt;module\u0026gt;","from .arrow_dataset import Dataset\n","/usr/local/lib/python3.12/dist-packages/datasets/__init__.py","from .arrow_reader import ArrowReader\n","/usr/local/lib/python3.12/dist-packages/datasets/arrow_dataset.py","from .download.download_config import DownloadConfig # noqa: F401\n","/usr/local/lib/python3.12/dist-packages/datasets/arrow_reader.py","_find_and_load_unlocked at \u003cfrozen importlib._bootstrap\u003e:1310","from .download_manager import DownloadManager, DownloadMode\n","/usr/local/lib/python3.12/dist-packages/datasets/download/__init__.py","from ..utils.file_utils import (\n","/usr/local/lib/python3.12/dist-packages/datasets/download/download_manager.py"," from aiohttp.client_exceptions import ClientError as _AiohttpClientError\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/file_utils.py","from .client import (\n","/usr/local/lib/python3.12/dist-packages/aiohttp/__init__.py","@attr.s(auto_attribs=True, frozen=True, slots=True)\n","/usr/local/lib/python3.12/dist-packages/aiohttp/client.py"," return builder.build_class()\n","wrap","/usr/local/lib/python3.12/dist-packages/attr/_make.py"," self._eval_snippets()\n","build_class"," locs = _linecache_and_compile(\n","_eval_snippets"," script.splitlines(True),\n","_linecache_and_compile"," layer_names = self._get_quantized_layer_names_outside_blocks()\n"," all_layers_in_block = get_layer_names_in_block(self.model, self.supported_types, self.quant_block_list)\n","_get_quantized_layer_names_outside_blocks"," for n, m in model.named_modules():\n","get_layer_names_in_block","/home/yiliu7/workspace/auto-round/auto_round/utils/model.py"," yield from module.named_modules(\n","named_modules"," submodule_prefix = prefix + (\".\" if prefix else \"\") + name\n"," pbar.set_description(f\"Calculate weight global scale: {name}\")\n"," self.refresh()\n","set_description","/usr/local/lib/python3.12/dist-packages/tqdm/std.py"," self.display()\n","refresh"," self.sp(self.__str__() if msg is None else msg)\n","display"," return self.format_meter(**self.format_dict)\n","__str__"," l_bar += f\u0027{percentage:3.0f}%|\u0027\n","format_meter"," pbar = tqdm(all_to_quantized_module_names)\n"," cls.monitor = TMonitor(cls, cls.monitor_interval)\n","__new__"," Thread.__init__(self)\n","/usr/local/lib/python3.12/dist-packages/tqdm/_monitor.py"," self._started = Event()\n","/usr/lib/python3.12/threading.py"," self._cond = Condition(Lock())\n"," self._waiters = _deque()\n"," self.dataloader = get_dataloader(\n"," dataset_final = get_dataset(tokenizer, seqlen, dataset_name, seed, nsamples)\n","get_dataloader"," dataset = get_dataset(\n","get_dataset"," calib_dataset = load_dataset(\"NeelNanda/pile-10k\", split=split)\n","get_pile_dataset"," builder_instance = load_dataset_builder(\n","load_dataset","/usr/local/lib/python3.12/dist-packages/datasets/load.py"," builder_instance: DatasetBuilder = builder_cls(\n","load_dataset_builder"," extend_dataset_builder_for_streaming(self)\n","/usr/local/lib/python3.12/dist-packages/datasets/builder.py"," extend_module_for_streaming(builder.__module__, download_config=download_config)\n","extend_dataset_builder_for_streaming","/usr/local/lib/python3.12/dist-packages/datasets/streaming.py"," patch_submodule(module, \"scipy.io.loadmat\", wrap_auth(xsio_loadmat), attrs=[\"__version__\"]).start()\n","extend_module_for_streaming"," self.__enter__()\n","start","/usr/local/lib/python3.12/dist-packages/datasets/utils/patching.py"," submodule = import_module(\".\".join(submodules[: i + 1]))\n","__enter__"," return _bootstrap._gcd_import(name[level:], package, level)\n","import_module","/usr/lib/python3.12/importlib/__init__.py","_gcd_import at \u003cfrozen importlib._bootstrap\u003e:1387","_gcd_import","from . import arff, harwell_boeing, idl, mmio, netcdf, wavfile\n","/usr/local/lib/python3.12/dist-packages/scipy/io/__init__.py","_handle_fromlist at \u003cfrozen importlib._bootstrap\u003e:1415","_handle_fromlist","class WAVE_FORMAT(IntEnum):\n","/usr/local/lib/python3.12/dist-packages/scipy/io/wavfile.py"," enum_class = super().__new__(metacls, cls, bases, classdict, **kwds)\n","/usr/lib/python3.12/enum.py"," enum_class._value2member_map_.setdefault(value, enum_member)\n","__set_name__"," enum_class._member_names_.append(member_name)\n","from ._arffread import *\n","/usr/local/lib/python3.12/dist-packages/scipy/io/arff/__init__.py","class MetaData:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/arff/_arffread.py","class Attribute:\n","r_attribute = re.compile(r\u0027^\\s*@[Aa][Tt][Tt][Rr][Ii][Bb][Uu][Tt][Ee]\\s*(..*$)\u0027)\n"," return _compile(pattern, flags)\n","compile","/usr/lib/python3.12/re/__init__.py"," p = _compiler.compile(pattern, flags)\n","_compile"," return _sre.compile(\n","/usr/lib/python3.12/re/_compiler.py","from ._harwell_boeing import hb_read, hb_write\n","from .hb import hb_read, hb_write\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_harwell_boeing/__init__.py","class HBMatrixType:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_harwell_boeing/hb.py","class HBInfo:\n","class MalformedHeader(Exception):\n","from ._fortran_format_parser import FortranFormatParser, IntFormat, ExpFormat\n","class Tokenizer:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_harwell_boeing/_fortran_format_parser.py","class BadFortranFormat(SyntaxError):\n","from .matlab import loadmat, savemat, whosmat\n","from ._mio5 import MatlabFunction, varmats_from_mat\n","/usr/local/lib/python3.12/dist-packages/scipy/io/matlab/__init__.py","from ._mio import loadmat, savemat, whosmat\n","from ._mio5 import MatFile5Reader, MatFile5Writer\n","/usr/local/lib/python3.12/dist-packages/scipy/io/matlab/_mio.py","from ._mio5_utils import VarReader5\n","/usr/local/lib/python3.12/dist-packages/scipy/io/matlab/_mio5.py","exec_module at \u003cfrozen importlib._bootstrap_external\u003e:1297","class MatlabOpaque(np.ndarray):\n","/usr/local/lib/python3.12/dist-packages/scipy/io/matlab/_mio5_params.py","class MatlabFunction(np.ndarray):\n"," _def = {\u0027dtypes\u0027: convert_dtypes(mdtypes_template, _bytecode),\n"," dtypes = dtype_template.copy()\n","convert_dtypes","/usr/local/lib/python3.12/dist-packages/scipy/io/matlab/_miobase.py","mdtypes_template = {\n","from ._mio4 import MatFile4Reader, MatFile4Writer\n","class MatFile4Writer:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/matlab/_mio4.py","class MatFile4Reader(MatFileReader):\n"," @docfiller\n","MatFile4Reader"," func.__doc__ = docformat(doc, docdict)\n","decorate","/usr/local/lib/python3.12/dist-packages/scipy/_lib/doccer.py"," return docstring % indented\n","docformat","class VarReader4:\n","from ._miobase import _get_matfile_version, docfiller\n","class MatFileReader:\n","MatFileReader"," dataset_module = dataset_module_factory(\n"," ).get_module()\n","dataset_module_factory"," exported_dataset_infos = _dataset_viewer.get_exported_dataset_infos(\n","get_module"," info_response = get_session().get(\n","get_exported_dataset_infos","/usr/local/lib/python3.12/dist-packages/datasets/utils/_dataset_viewer.py"," return self.request(\"GET\", url, **kwargs)\n","get","/usr/local/lib/python3.12/dist-packages/requests/sessions.py"," resp = self.send(prep, **send_kwargs)\n","request"," r = adapter.send(request, **kwargs)\n","send"," return super().send(request, *args, **kwargs)\n","/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_http.py"," conn = self.get_connection_with_tls_context(\n","/usr/local/lib/python3.12/dist-packages/requests/adapters.py"," conn = self.poolmanager.connection_from_host(\n","get_connection_with_tls_context"," return self.connection_from_context(request_context)\n","connection_from_host","/usr/local/lib/python3.12/dist-packages/urllib3/poolmanager.py"," return self.connection_from_pool_key(pool_key, request_context=request_context)\n","connection_from_context"," pool = self._new_pool(scheme, host, port, request_context=request_context)\n","connection_from_pool_key"," return pool_cls(host, port, **request_context)\n","_new_pool"," super().__init__(\n","/usr/local/lib/python3.12/dist-packages/urllib3/connectionpool.py"," self.pool: queue.LifoQueue[typing.Any] | None = self.QueueCls(maxsize)\n"," self.not_empty = threading.Condition(self.mutex)\n","/usr/lib/python3.12/queue.py"," standalone_yaml_path = cached_path(\n"," ).resolve_path(url_or_filename)\n","cached_path"," repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)\n","resolve_path","/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_file_system.py"," self._api.repo_info(\n","_repo_and_revision_exist"," return fn(*args, **kwargs)\n","_inner_fn","/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_validators.py"," return method(\n","repo_info","/usr/local/lib/python3.12/dist-packages/huggingface_hub/hf_api.py"," return DatasetInfo(**data)\n","dataset_info"," self.created_at = parse_datetime(created_at) if created_at else None\n"," return datetime.strptime(date_string, \"%Y-%m-%dT%H:%M:%S.%fZ\").replace(tzinfo=timezone.utc)\n","parse_datetime","/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_datetime.py"," tt, fraction, gmtoff_fraction = _strptime(data_string, format)\n","_strptime_datetime","/usr/lib/python3.12/_strptime.py"," format_regex = _TimeRE_cache.compile(format)\n","_strptime"," return re_compile(self.pattern(format), IGNORECASE)\n"," self.not_full = threading.Condition(self.mutex)\n"," dataset_readme_path = api.hf_hub_download(\n"," return hf_hub_download(\n","hf_hub_download"," return _hf_hub_download_to_cache_dir(\n","/usr/local/lib/python3.12/dist-packages/huggingface_hub/file_download.py"," (url_to_download, etag, commit_hash, expected_size, xet_file_data, head_call_error) = _get_metadata_or_catch_error(\n","_hf_hub_download_to_cache_dir"," metadata = get_hf_file_metadata(\n","_get_metadata_or_catch_error"," r = _request_wrapper(\n","get_hf_file_metadata"," response = _request_wrapper(\n","_request_wrapper"," response = http_backoff(method=method, url=url, **params)\n"," response = session.request(method=method, url=url, **kwargs)\n","http_backoff"," self.mutex = threading.Lock()\n","from .inspect import (\n","from .load import (\n","/usr/local/lib/python3.12/dist-packages/datasets/inspect.py","from .packaged_modules import (\n"," \"imagefolder\": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/__init__.py"," lines, lnum = getsourcelines(object)\n","getsource","/usr/lib/python3.12/inspect.py"," lines, lnum = findsource(object)\n","getsourcelines"," lines = linecache.getlines(file, module.__dict__)\n","findsource"," return updatecache(filename, module_globals)\n","getlines","/usr/lib/python3.12/linecache.py"," lines = fp.readlines()\n","updatecache"," _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)\n"," \"webdataset\": (webdataset.__name__, _hash_python_lines(inspect.getsource(webdataset).splitlines())),\n","class BuilderConfigsParameters:\n","@dataclass\n"," return wrap(cls)\n","dataclass","/usr/lib/python3.12/dataclasses.py"," return _process_class(cls, init, repr, eq, order, unsafe_hash,\n"," _cmp_fn(\u0027__eq__\u0027, \u0027==\u0027,\n","_process_class"," return _create_fn(name,\n","_cmp_fn"," exec(txt, globals, ns)\n","_create_fn"," input_ids = self._get_block_outputs(\n"," clear_memory(device_list=self.device_list)\n","_get_block_outputs"," return fn(*args, **kwargs)\n","_fn","/usr/local/lib/python3.12/dist-packages/torch/_dynamo/eval_frame.py"," _clear_memory_for_cpu_and_cuda(tensor, device_list)\n","clear_memory","/home/yiliu7/workspace/auto-round/auto_round/utils/device.py"," torch.cuda.empty_cache()\n","_clear_memory_for_cpu_and_cuda"," torch._C._cuda_emptyCache()\n","empty_cache","/usr/local/lib/python3.12/dist-packages/torch/cuda/memory.py","class LocalDatasetModuleFactoryWithScript(_DatasetModuleFactory):\n"," if can_be_local(url_or_filename):\n"," return getattr(get_filesystem_class(get_protocol(path)), \"local_file\", False)\n","can_be_local","/usr/local/lib/python3.12/dist-packages/fsspec/utils.py"," register_implementation(protocol, _import_class(bit[\"class\"]))\n","get_filesystem_class","/usr/local/lib/python3.12/dist-packages/fsspec/registry.py"," mod = importlib.import_module(mod)\n","_import_class","class HTTPFileSystem(AsyncFileSystem):\n","/usr/local/lib/python3.12/dist-packages/fsspec/implementations/http.py","from .audiofolder import audiofolder\n","from ..folder_based_builder import folder_based_builder\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/audiofolder/audiofolder.py","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py"," _set_new_attribute(cls, \u0027__repr__\u0027, _repr_fn(flds, globals))\n"," fn = _create_fn(\u0027__repr__\u0027,\n","_repr_fn","from .csv import csv\n","_PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS = [\"names\", \"prefix\"]\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/csv/csv.py","from .cache import cache\n","def _get_modification_time(cached_directory_path):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/cache/cache.py","from .pandas import pandas\n","class PandasConfig(datasets.BuilderConfig):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/pandas/pandas.py","import pyarrow.dataset as ds\n"," from pyarrow._dataset import ( # noqa\n","/usr/local/lib/python3.12/dist-packages/pyarrow/dataset.py"," result = type(typename, (tuple,), class_namespace)\n","namedtuple","/usr/lib/python3.12/collections/__init__.py","class InvalidVersion(ValueError):\n","/usr/local/lib/python3.12/dist-packages/pyarrow/vendored/version.py","from .arrow import arrow\n","_find_and_load_unlocked at \u003cfrozen importlib._bootstrap\u003e:1322","_find_spec at \u003cfrozen importlib._bootstrap\u003e:1262","_find_spec","find_spec at \u003cfrozen importlib._bootstrap_external\u003e:1528","find_spec","_get_spec at \u003cfrozen importlib._bootstrap_external\u003e:1502","_get_spec","find_spec at \u003cfrozen importlib._bootstrap_external\u003e:1605","_fill_cache at \u003cfrozen importlib._bootstrap_external\u003e:1656","_fill_cache","from .builder import ArrowBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder\n","from .iterable_dataset import ArrowExamplesIterable, ExamplesIterable, IterableDataset\n","class DistributedConfig:\n","/usr/local/lib/python3.12/dist-packages/datasets/iterable_dataset.py","class ExamplesIterable(_BaseExamplesIterable):\n","from .utils.tf_utils import dataset_to_tf, minimal_tf_collate_fn, multiprocess_dataset_to_tf\n"," from multiprocess.shared_memory import SharedMemory\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/tf_utils.py","from . import resource_tracker\n","/usr/local/lib/python3.12/dist-packages/multiprocess/shared_memory.py","class ReentrantCallError(RuntimeError):\n","/usr/local/lib/python3.12/dist-packages/multiprocess/resource_tracker.py","def np_get_batch(\n"," _SHM_NAME_PREFIX = \u0027/psm_\u0027\n","from .utils.metadata import MetadataConfigs\n","known_task_ids = {\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/metadata.py","from .search import IndexableMixin\n","class BaseIndex:\n","/usr/local/lib/python3.12/dist-packages/datasets/search.py","class BatchedNearestExamplesResults(NamedTuple):\n"," nm_tpl = _make_nmtuple(typename, types.items(),\n","/usr/lib/python3.12/typing.py"," nm_tpl = collections.namedtuple(name, fields,\n","_make_nmtuple","class NearestExamplesResults(NamedTuple):\n","from .fingerprint import (\n","class _TempCacheDir:\n","/usr/local/lib/python3.12/dist-packages/datasets/fingerprint.py","from .formatting import format_table, get_format_type_from_alias, get_formatter, query_table\n","from .formatting import (\n","/usr/local/lib/python3.12/dist-packages/datasets/formatting/__init__.py","class NumpyArrowExtractor(BaseArrowExtractor[dict, np.ndarray, dict]):\n","/usr/local/lib/python3.12/dist-packages/datasets/formatting/formatting.py","from .arrow_writer import ArrowWriter, OptimizedTypedSequence\n","from .info import DatasetInfo\n","/usr/local/lib/python3.12/dist-packages/datasets/arrow_writer.py","class NonMatchingCachedSizesError(Exception):\n","/usr/local/lib/python3.12/dist-packages/datasets/info.py","class MissingCachedSizesConfigError(Exception):\n","from .features import Audio, Features, Image, Pdf, Value, Video\n","from .features import Array2D, Array3D, Array4D, Array5D, ClassLabel, Features, LargeList, Sequence, Value\n","/usr/local/lib/python3.12/dist-packages/datasets/features/__init__.py","class LargeList:\n","/usr/local/lib/python3.12/dist-packages/datasets/features/features.py","class Array4DExtensionType(_ArrayXDExtensionType):\n","class Array2DExtensionType(_ArrayXDExtensionType):\n","from .video import Video\n","from ..table import array_cast\n","/usr/local/lib/python3.12/dist-packages/datasets/features/video.py","from .keyhash import DuplicatedKeysError, KeyHasher\n","exec_module at \u003cfrozen importlib._bootstrap_external\u003e:991","get_code at \u003cfrozen importlib._bootstrap_external\u003e:1124","get_code","_compile_bytecode at \u003cfrozen importlib._bootstrap_external\u003e:753","_compile_bytecode","class ParquetReader(BaseReader):\n","def _str_to_read_instruction(spec):\n","class ClientSession:\n"," async def _request(\n","ClientSession","from .tracing import Trace, TraceConfig\n","/usr/local/lib/python3.12/dist-packages/aiohttp/tracing.py"," _compile_and_eval(script, globs, locs, filename)\n"," bytecode = compile(script, filename, \"exec\")\n","_compile_and_eval"," old_val = linecache.cache.setdefault(filename, linecache_tuple)\n","class PandasArrowExtractor(BaseArrowExtractor[pd.DataFrame, pd.Series, pd.DataFrame]):\n","class _RequestOptions(TypedDict, total=False):\n"," annotations.update(own_annotations)\n"," cls = self._create_slots_class()\n"," cls = type(self._cls)(self._cls.__name__, self._cls.__bases__, cd)\n","_create_slots_class","from .client_middleware_digest_auth import DigestAuthMiddleware\n","from typing import (\n","/usr/local/lib/python3.12/dist-packages/aiohttp/client_middleware_digest_auth.py","class VarWriter4:\n","from aiosignal import Signal\n","from frozenlist import FrozenList\n","/usr/local/lib/python3.12/dist-packages/aiosignal/__init__.py"," from ._frozenlist import FrozenList as CFrozenList # type: ignore\n","/usr/local/lib/python3.12/dist-packages/frozenlist/__init__.py","import pyarrow.parquet as pq\n","from .core import *\n","/usr/local/lib/python3.12/dist-packages/pyarrow/parquet/__init__.py","from pyarrow.fs import (LocalFileSystem, FileType, _resolve_filesystem_and_path,\n","/usr/local/lib/python3.12/dist-packages/pyarrow/parquet/core.py","from pyarrow._fs import ( # noqa\n","/usr/local/lib/python3.12/dist-packages/pyarrow/fs.py","__new__ at \u003cfrozen abc\u003e:107","\u0026lt;frozen abc\u0026gt;","from multiprocess import Pool\n","from . import context\n","/usr/local/lib/python3.12/dist-packages/multiprocess/__init__.py","from . import process\n","/usr/local/lib/python3.12/dist-packages/multiprocess/context.py","class AuthenticationString(bytes):\n","/usr/local/lib/python3.12/dist-packages/multiprocess/process.py","import fsspec\n","from .compression import available_compressions\n","/usr/local/lib/python3.12/dist-packages/fsspec/__init__.py","class SnappyFile(AbstractBufferedFile):\n","/usr/local/lib/python3.12/dist-packages/fsspec/compression.py","__new__ at \u003cfrozen abc\u003e:106","class LineOverflow(Warning):\n","class MatlabObject(np.ndarray):\n"," resp = conn.urlopen(\n"," conn = self._get_conn(timeout=pool_timeout)\n","urlopen"," return conn or self._new_conn()\n","_get_conn"," return self.ConnectionCls(\n","_new_conn"," self.ssl_minimum_version = ssl_minimum_version\n","/usr/local/lib/python3.12/dist-packages/urllib3/connection.py","from . import hdrs, http, payload\n","from .http_parser import (\n","/usr/local/lib/python3.12/dist-packages/aiohttp/http.py","class RawResponseMessage(NamedTuple):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/http_parser.py","from .data_files import sanitize_patterns\n","class DataFilesPatternsDict(dict[str, DataFilesPatternsList]):\n","/usr/local/lib/python3.12/dist-packages/datasets/data_files.py","def _skip_unknown_chunk(fid, is_big_endian):\n","class AudioFolder(folder_based_builder.FolderBasedBuilder):\n"," patterns = get_data_patterns(base_path, download_config=self.download_config)\n"," return _get_data_files_patterns(resolver)\n","get_data_patterns"," data_files = pattern_resolver(pattern)\n","_get_data_files_patterns"," fs, fs_pattern = url_to_fs(pattern, **storage_options)\n","resolve_pattern"," chain = _un_chain(url, kwargs)\n","url_to_fs","/usr/local/lib/python3.12/dist-packages/fsspec/core.py"," from fsspec.implementations.cached import CachingFileSystem\n","_un_chain","from fsspec.implementations.cache_mapper import create_cache_mapper\n","/usr/local/lib/python3.12/dist-packages/fsspec/implementations/cached.py","class AbstractCacheMapper(abc.ABC):\n","/usr/local/lib/python3.12/dist-packages/fsspec/implementations/cache_mapper.py"," all_to_quantized_module_names: list[str] = [n for n, m in self.model.named_modules() if check_to_quantized(m)]\n"," self._bootstrap_inner()\n","_bootstrap","0x4 (ThreadPoolExecutor-0_0)"," self.run()\n","_bootstrap_inner"," self._target(*self._args, **self._kwargs)\n","run"," work_item.run()\n","_worker","/usr/lib/python3.12/concurrent/futures/thread.py"," result = self.fn(*self.args, **self.kwargs)\n"," resolved_path = fs.resolve_path(data_file)\n","_get_single_origin_metadata"," r = get_session().get(path, headers=headers, timeout=timeout, params=params)\n"," return _get_session_from_cache(process_id=os.getpid(), thread_id=threading.get_ident())\n","get_session"," return _GLOBAL_BACKEND_FACTORY()\n","_get_session_from_cache"," session.mount(\"http://\", UniqueRequestIdAdapter())\n","_default_backend_factory"," self.init_poolmanager(pool_connections, pool_maxsize, block=pool_block)\n"," self.poolmanager = PoolManager(\n","init_poolmanager"," self.pools = RecentlyUsedContainer(num_pools)\n"," self.lock = RLock()\n","/usr/local/lib/python3.12/dist-packages/urllib3/_collections.py"," return _CRLock(*args, **kwargs)\n","RLock","class BufferShuffledExamplesIterable(_BaseExamplesIterable):\n"," self.was_killed = self._test.get(\"Event\", Event)()\n"," m = m.to(\"cpu\")\n"," return self._apply(convert)\n","to"," module._apply(fn)\n","_apply"," for module in self.children():\n"," for _name, module in self.named_children():\n","children"," memo = set()\n","named_children","from .client_middlewares import ClientMiddlewareType, build_client_middlewares\n","from .client_reqrep import ClientRequest, ClientResponse\n","/usr/local/lib/python3.12/dist-packages/aiohttp/client_middlewares.py","/usr/local/lib/python3.12/dist-packages/aiohttp/client_reqrep.py"," globs.update(snippet_globs)\n","class BatchedSearchResults(NamedTuple):\n","class AsyncIterablePayload(Payload):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/payload.py","class payload_type:\n","from .text import text\n","from ..filesystems import COMPRESSION_FILESYSTEMS\n","from . import compression\n","/usr/local/lib/python3.12/dist-packages/datasets/filesystems/__init__.py","from fsspec.archive import AbstractArchiveFileSystem\n","/usr/local/lib/python3.12/dist-packages/datasets/filesystems/compression.py","from .http_websocket import (\n","from ._websocket.helpers import WS_KEY, ws_ext_gen, ws_ext_parse\n","/usr/local/lib/python3.12/dist-packages/aiohttp/http_websocket.py","from .models import WSHandshakeError\n","/usr/local/lib/python3.12/dist-packages/aiohttp/_websocket/helpers.py","class WSCloseCode(IntEnum):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/_websocket/models.py"," setattr(enum_class, member_name, enum_member)\n"," super().__setattr__(name, value)\n","__setattr__","from .base_protocol import BaseProtocol\n","from .helpers import set_exception\n","/usr/local/lib/python3.12/dist-packages/aiohttp/base_protocol.py","class AppKey(Generic[_T]):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/helpers.py","class InvalidKeyError(Exception):\n","/usr/local/lib/python3.12/dist-packages/datasets/keyhash.py","from . import caching\n"," calib_dataset = calib_dataset.map(tokenizer_function, batched=True)\n"," out: Union[\"Dataset\", \"DatasetDict\"] = func(self, *args, **kwargs)\n","wrapper"," transformed_dataset = load_processed_shard_from_cache(dataset_kwargs)\n","map"," return Dataset.from_file(shard_kwargs[\"cache_file_name\"], info=info, split=shard.split)\n","load_processed_shard_from_cache"," return cls(\n","from_file"," self._data = update_metadata_with_features(self._data, self._info.features)\n"," table = table.replace_schema_metadata(pa_metadata)\n","update_metadata_with_features"," return MemoryMappedTable(self.table.replace_schema_metadata(*args, **kwargs), self.path, replays)\n","replace_schema_metadata","/usr/local/lib/python3.12/dist-packages/datasets/table.py"," super().__init__(table)\n"," self._offsets: np.ndarray = np.cumsum([0] + [len(b) for b in self._batches], dtype=np.int64)\n"," return _wrapfunc(a, \u0027cumsum\u0027, axis=axis, dtype=dtype, out=out)\n","cumsum","/usr/local/lib/python3.12/dist-packages/numpy/core/fromnumeric.py"," return _wrapit(obj, method, *args, **kwds)\n","_wrapfunc"," result = getattr(asarray(obj), method)(*args, **kwds)\n","_wrapit","from .compression_utils import (\n","class ZlibBaseHandler:\n","/usr/local/lib/python3.12/dist-packages/aiohttp/compression_utils.py","from ._fast_matrix_market import mminfo, mmread, mmwrite\n","from scipy.io import _mmio\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_fast_matrix_market/__init__.py","class MMFile:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_mmio.py","CHAR = {chr(i) for i in range(0, 128)}\n","class PandasFeaturesDecoder:\n","from .client_exceptions import ClientConnectionResetError\n","class ClientProxyConnectionError(ClientConnectorError):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/client_exceptions.py","from .splits import SplitDict\n","class _SubSplit(SplitBase):\n","/usr/local/lib/python3.12/dist-packages/datasets/splits.py","class ClientConnectorCertificateError(*cert_errors_bases): # type: ignore[misc]\n","class BasicAuth(namedtuple(\"BasicAuth\", [\"login\", \"password\", \"encoding\"])):\n","class mat_struct:\n","class ServerTimeoutError(ServerConnectionError, asyncio.TimeoutError):\n","SlicedSplitInfo = collections.namedtuple(\n","class Array5D(_ArrayXD):\n","from .http_exceptions import HttpProcessingError as HttpProcessingError\n","class InvalidHeader(BadHttpMessage):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/http_exceptions.py","class ServerDisconnectedError(ServerConnectionError):\n","from fsspec.spec import AbstractBufferedFile\n","from .callbacks import DEFAULT_CALLBACK\n","/usr/local/lib/python3.12/dist-packages/fsspec/spec.py","from .table import array_cast, cast_array_to_feature, embed_table_storage, table_cast\n","from yarl import URL\n","from ._query import Query, QueryVariable, SimpleQuery\n","/usr/local/lib/python3.12/dist-packages/yarl/__init__.py","def query_var(v: SimpleQuery) -\u003e str:\n","/usr/local/lib/python3.12/dist-packages/yarl/_query.py","class SplitInfo:\n","class PayloadEncodingError(BadHttpMessage):\n","from .sql import sql\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/sql/sql.py","import fsspec.asyn\n","from .implementations.local import LocalFileSystem, make_path_posix, trailing_sep\n","/usr/local/lib/python3.12/dist-packages/fsspec/asyn.py","logger = logging.getLogger(\"fsspec.local\")\n","/usr/local/lib/python3.12/dist-packages/fsspec/implementations/local.py","class Pandas(datasets.ArrowBasedBuilder):\n","import xml.dom.minidom\n","from xml.dom.minicompat import *\n","/usr/lib/python3.12/xml/dom/minidom.py","class NodeList(list):\n","/usr/lib/python3.12/xml/dom/minicompat.py","from ..utils.py_utils import NestedDataStructure, map_nested\n","import multiprocess.pool\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/py_utils.py","from . import util\n","/usr/local/lib/python3.12/dist-packages/multiprocess/pool.py","class ForkAwareThreadLock(object):\n","/usr/local/lib/python3.12/dist-packages/multiprocess/util.py","from ._filelock import FileLock\n","class IndexSizeErr(DOMException):\n","/usr/lib/python3.12/xml/dom/__init__.py","from .payload_streamer import streamer as streamer\n","class StreamWrapperPayload(Payload):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/payload_streamer.py","from ..utils import tqdm as hf_tqdm\n","from . import tqdm as _tqdm # _tqdm is the module\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/__init__.py","class tqdm(old_tqdm):\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/tqdm.py","from .info_utils import VerificationMode\n","from ..exceptions import (\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/info_utils.py","from huggingface_hub import HfFileSystem\n","/usr/local/lib/python3.12/dist-packages/datasets/exceptions.py","_handle_fromlist at \u003cfrozen importlib._bootstrap\u003e:1412"," submod = importlib.import_module(submod_path)\n","__getattr__","/usr/local/lib/python3.12/dist-packages/huggingface_hub/__init__.py","class HfFileSystemFile(fsspec.spec.AbstractBufferedFile):\n","class InvalidConfigName(ValueError):\n","from .utils import _dataset_viewer\n","class DatasetViewerError(DatasetsError):\n","class ReadOnlySequentialNamedNodeMap(object):\n"," tmp_output = self.block_forward(\n"," output = block(input_ids, *input_tuple, **input_others)\n","block_forward","/home/yiliu7/workspace/auto-round/auto_round/compressors/utils.py"," return super().__call__(*args, **kwargs)\n","__call__","/home/yiliu7/workspace/transformers/src/transformers/modeling_layers.py"," return self._call_impl(*args, **kwargs)\n","_wrapped_call_impl"," return forward_call(*args, **kwargs)\n","_call_impl","wrapped_func","/home/yiliu7/workspace/transformers/src/transformers/utils/deprecation.py"," hidden_states = self.mlp(hidden_states)\n","forward","/home/yiliu7/workspace/transformers/src/transformers/models/deepseek_v2/modeling_deepseek_v2.py"," hidden_states = self.moe(hidden_states, topk_indices, topk_weights).view(*orig_shape)\n"," expert_out = expert(tokens_for_this_expert)\n","moe"," down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))\n"," return inner()\n"," hook_result = hook(self, args, result)\n","inner"," module.act_max = torch.max(\n","get_act_max_hook"," super().__setattr__(name, value)\n"," \"parquet\": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),\n","from . import hdrs as hdrs\n","METH_CONNECT_ALL: Final = frozenset(\n","/usr/local/lib/python3.12/dist-packages/aiohttp/hdrs.py","from .streams import EMPTY_PAYLOAD, StreamReader\n","class DataQueue(Generic[_T]):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/streams.py","class TransferEncodingError(PayloadEncodingError):\n","import pyarrow.json as paj\n","class FormattedExamplesIterable(_BaseExamplesIterable):\n"," tuple(f.name for f in std_init_fields))\n","class ThreadPool(Pool):\n","class FileFormatError(DatasetBuildError):\n","from .cookiejar import CookieJar\n","class CookieJar(AbstractCookieJar):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/cookiejar.py"," DATE_MONTH_RE = re.compile(\n","CookieJar","UNPACK_CLOSE_CODE = Struct(\"!H\").unpack\n","_find_and_load_unlocked at \u003cfrozen importlib._bootstrap\u003e:1339","class PercentSliceMeta(type):\n","class Version(_BaseVersion):\n","class ExpFormat:\n","read_pandas.__doc__ = _read_table_docstring.format(\n","class DOMException(Exception):\n","class MetadataConfigs(dict[str, dict[str, Any]]):\n","class ChunkTupleAsyncStreamIterator:\n","_SUB_SPEC_RE = re.compile(\n","class ClientConnectorDNSError(ClientConnectorError):\n","class ChecksumVerificationError(DatasetsError):\n","from .connector import (\n","import aiohappyeyeballs\n","/usr/local/lib/python3.12/dist-packages/aiohttp/connector.py","from .impl import start_connection\n","/usr/local/lib/python3.12/dist-packages/aiohappyeyeballs/__init__.py","from . import _staggered\n","/usr/local/lib/python3.12/dist-packages/aiohappyeyeballs/impl.py","_T = TypeVar(\"_T\")\n","/usr/local/lib/python3.12/dist-packages/aiohappyeyeballs/_staggered.py"," v: (v.phrase, v.description) for v in HTTPStatus.__members__.values()\n","class Notation(Identified, Childless, Node):\n","from .extract import ExtractManager\n","class BaseExtractor(ABC):\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/extract.py","class ClientConnectorError(ClientOSError):\n","from .client_ws import (\n","@attr.s(frozen=True, slots=True)\n","/usr/local/lib/python3.12/dist-packages/aiohttp/client_ws.py","class ZLibBackendWrapper:\n","class RemoteTraceback(Exception):\n","class ArffError(OSError):\n","class WavFileWarning(UserWarning):\n","from .connection import wait\n","MESSAGE_LENGTH = 40 # MUST be \u003e 20\n","/usr/local/lib/python3.12/dist-packages/multiprocess/connection.py","class MatFile5Writer:\n","from ._dill import ( # noqa: F401 # imported for backward compatibility. TODO: remove in 3.0.0\n","def _save_set(pickler, obj):\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/_dill.py"," tp_dict.__optional_keys__ = frozenset(optional_keys)\n","class ClientSSLError(ClientConnectorError):\n","from .exceptions import FSTimeoutError\n","class BlocksizeMismatchError(ValueError):\n","/usr/local/lib/python3.12/dist-packages/fsspec/exceptions.py","class TraceConfig:\n"," def __init__(\n","class ParseState(IntEnum):\n","class DeflateBuffer:\n","class EmptyStructMarker:\n","class _BaseRequestContextManager(Coroutine[Any, Any, _RetType], Generic[_RetType]):\n","from .mapping import FSMap, get_mapper\n","class FSMap(MutableMapping):\n","/usr/local/lib/python3.12/dist-packages/fsspec/mapping.py","class DuplicatedKeysError(Exception):\n","class NonExistentDatasetError(Exception):\n","class InvalidURL(ClientError, ValueError):\n","from .formdata import FormData\n","from .payload import Payload\n","/usr/local/lib/python3.12/dist-packages/aiohttp/formdata.py"," fields[f.name] = f\n","class Arrow(datasets.ArrowBasedBuilder):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/arrow/arrow.py","class TensorflowDatasetMixin:\n","class TooManyRedirects(ClientResponseError):\n","class Bz2FileSystem(BaseCompressedFileFileSystem):\n"," update_fused_layer_global_scales(module)\n"," global_scale = torch.min(\n","update_fused_layer_global_scales","/home/yiliu7/workspace/auto-round/auto_round/data_type/utils.py","class StreamPayload(StreamWrapperPayload):\n","class SplitDict(dict):\n","class StringPayload(BytesPayload):\n","class DownloadMode(enum.Enum):\n","class LocalTempFile:\n","from ._mio_utils import squeeze_element, chars_to_strings\n","class RandomlyCyclingMultiSourcesExamplesIterable(CyclingMultiSourcesExamplesIterable):\n","class IOBasePayload(Payload):\n"," from .polars_formatter import PolarsFormatter\n","from . import hdrs, helpers, http, multipart, payload\n","class MultipartReader:\n","/usr/local/lib/python3.12/dist-packages/aiohttp/multipart.py","class Fingerprint:\n","from .types import AddrInfoType, SocketFactoryType\n"," new_x[indices] = outs\n"," self.start()\n"," _start_new_thread(self._bootstrap, ())\n","from .utils.file_utils import (\n","class LegacyVersion(_BaseVersion):\n","from .image import Image, encode_pil_image\n","from .dircache import DirCache\n","class DirCache(MutableMapping):\n","/usr/local/lib/python3.12/dist-packages/fsspec/dircache.py","class PythonArrowExtractor(BaseArrowExtractor[dict, list, dict]):\n","from .audio import Audio\n","/usr/local/lib/python3.12/dist-packages/datasets/features/audio.py"," if num_tokens == 0:\n","class UnixConnector(BaseConnector):\n","class MissingIndex(Exception):\n","class BodyPartReader:\n","__all__ = (\"CookieJar\", \"DummyCookieJar\")\n"," builder = _ClassBuilder(\n"," attrs, base_attrs, base_map = _transform_attrs(\n"," AttrsClass = _make_attr_tuple_class(cls.__name__, attr_names)\n","_transform_attrs"," return type(attr_class_name, (tuple,), body)\n","_make_attr_tuple_class","class PolarsFormatter(TableFormatter[\"pl.DataFrame\", \"pl.Series\", \"pl.DataFrame\"]):\n","/usr/local/lib/python3.12/dist-packages/datasets/formatting/polars_formatter.py","class BadStatusLine(BadHttpMessage):\n","class FilesIterable(TrackedIterableFromGenerator):\n"," return HubDatasetModuleFactoryWithoutScript(\n"," increase_load_count(name)\n"," get_session().head(\n","increase_load_count"," return self.request(\"HEAD\", url, **kwargs)\n","head"," response = self._make_request(\n"," self._validate_conn(conn)\n","_make_request"," conn.connect()\n","_validate_conn"," sock_and_verified = _ssl_wrap_socket_and_match_hostname(\n","connect"," ssl_sock = ssl_wrap_socket(\n","_ssl_wrap_socket_and_match_hostname"," ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_in_tls, server_hostname)\n","ssl_wrap_socket","/usr/local/lib/python3.12/dist-packages/urllib3/util/ssl_.py"," return ssl_context.wrap_socket(sock, server_hostname=server_hostname)\n","_ssl_wrap_socket_impl"," return self.sslsocket_class._create(\n","wrap_socket","/usr/lib/python3.12/ssl.py"," self.do_handshake()\n","_create"," self._sslobj.do_handshake()\n","do_handshake","_finalizer_counter = itertools.count()\n","from .table import CastError\n","globals().update((name, getattr(context._default_context, name)) for name in __all__)\n","class UnexpectedDownloadedFileError(ChecksumVerificationError):\n","class _SplitMerged(SplitBase):\n"," data = self.dataset.__getitems__(possibly_batched_index)\n"," batch = self.__getitem__(keys)\n","__getitems__"," return self._getitem(key)\n","__getitem__"," pa_subtable = query_table(self._data, key, indices=self._indices)\n","_getitem"," pa_subtable = _query_table(table, key)\n","query_table"," return table.fast_gather(key % table.num_rows)\n","_query_table"," batch_indices = np.searchsorted(self._offsets, indices, side=\"right\") - 1\n","fast_gather","class _stream_wrapper:\n","class BodyPartReaderPayload(Payload):\n"," act_max = torch.max(torch.abs(input), dim=-1).values\n","class ArrowExamplesIterable(_BaseExamplesIterable):\n"," self.model(**data_new, use_cache=False)\n"," output = func(self, *args, **kwargs)\n","/home/yiliu7/workspace/transformers/src/transformers/utils/generic.py"," outputs: BaseModelOutputWithPast = self.model(\n"," outputs = func(self, *args, **kwargs)\n"," position_embeddings = self.rotary_emb(hidden_states, position_ids)\n"," return rope_forward(self, x, position_ids)\n","/home/yiliu7/workspace/transformers/src/transformers/modeling_rope_utils.py"," inv_freq_expanded = self.inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1)\n","class InuseAttributeErr(DOMException):\n","class NonStreamableDatasetError(Exception):\n","from .hf_api import HfApi, LastCommitInfo, RepoFile\n","class xPath(type(Path())):\n","class ContentLengthError(PayloadEncodingError):\n"," self.last_print_n = initial\n"," from pyarrow._substrait import ( # noqa\n","/usr/local/lib/python3.12/dist-packages/pyarrow/substrait.py","class BadHttpMethod(BadStatusLine):\n","class ContentTypeError(ClientResponseError):\n","class _ConnectionBase:\n","class NonHttpUrlClientError(ClientError):\n","class SplitsNotFoundError(ValueError):\n","class Connection(_ConnectionBase):\n","from .utils import is_local_path, logger\n","class NonHttpUrlRedirectClientError(NonHttpUrlClientError, RedirectClientError):\n","class FileNotFoundDatasetsError(DatasetsError, FileNotFoundError):\n","class Pool(object):\n","class AudioFolderConfig(folder_based_builder.FolderBasedBuilderConfig):\n","class DatasetNotFoundError(FileNotFoundDatasetsError):\n","class ApplyResult(object):\n"," setattr(submodule.up_proj, global_scale_name, global_scale.clone())\n","from .resolver import DefaultResolver\n","class ThreadedResolver(AbstractResolver):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/resolver.py"," dataset = dataset.filter(filter_func)\n"," out = func(dataset, *args, **kwargs)\n"," new_dataset = copy.deepcopy(self)\n","filter"," y = _reconstruct(x, memo, *rv)\n","deepcopy","/usr/lib/python3.12/copy.py"," state = deepcopy(state, memo)\n","_reconstruct"," y = copier(x, memo)\n"," y[deepcopy(key, memo)] = deepcopy(value, memo)\n","_deepcopy_dict"," rv = reductor(4)\n"," cls.__slotnames__ = names\n","_slotnames","/usr/lib/python3.12/copyreg.py","class ClientPayloadError(ClientError):\n","from .client_proto import ResponseHandler\n","class ResponseHandler(BaseProtocol, DataQueue[Tuple[RawResponseMessage, StreamReader]]):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/client_proto.py","class FileInstructions:\n","class MultipartWriter(Payload):\n","from .xml import xml\n","class XmlConfig(datasets.BuilderConfig):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/xml/xml.py","class _RequestInfo(NamedTuple):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/text/text.py","class Image:\n","/usr/local/lib/python3.12/dist-packages/datasets/features/image.py","from .pdf import Pdf, encode_pdfplumber_pdf\n","class Pdf:\n","/usr/local/lib/python3.12/dist-packages/datasets/features/pdf.py"," pa_type: ClassVar[Any] = pa.struct({\"bytes\": pa.binary(), \"path\": pa.string()})\n","Pdf","MatFile5Writer","from .webdataset import webdataset\n","class WebDataset(datasets.GeneratorBasedBuilder):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/webdataset/webdataset.py","from .translation import Translation, TranslationVariableLanguages\n","class TranslationVariableLanguages:\n","/usr/local/lib/python3.12/dist-packages/datasets/features/translation.py","class SelectColumnsIterable(_BaseExamplesIterable):\n","class Video:\n","class _DNSCacheTable:\n","from .imagefolder import imagefolder\n","class _ArrayXDExtensionType(pa.ExtensionType):\n","pa.register_extension_type(Array2DExtensionType((1, 2), \"int64\"))\n"," pa.ExtensionType.__init__(self, self.storage_dtype, f\"{self.__class__.__module__}.{self.__class__.__name__}\")\n","class InvalidModificationErr(DOMException):\n"," self._immediate_pack(name)\n"," PACKING_LAYER_WITH_FORMAT[target_backend](name, self.model, self.formats[0], device=self.device)\n","_immediate_pack"," return pack_layer(*args, **kwargs)\n","_packing_layer_with_llmcompressor","/home/yiliu7/workspace/auto-round/auto_round/export/__init__.py"," return pack_layer(layer_name, model, backend, device)\n","pack_layer","/home/yiliu7/workspace/auto-round/auto_round/export/export_to_llmcompressor/export.py"," qlayer.pack(layer, scale, global_scale=global_scale, input_global_scale=input_global_scale, device=device)\n","/home/yiliu7/workspace/auto-round/auto_round/export/export_to_llmcompressor/export_to_fp.py"," self.weight_packed = pack_fp4_to_uint8(scaled_tensor)\n","pack","/home/yiliu7/workspace/auto-round/auto_round/export/export_to_autoround/qlinear_fp.py"," return pack_fp4_to_uint8_cuda(scaled_tensor)\n","pack_fp4_to_uint8"," return pack_fn(x)\n","pack_fp4_to_uint8_cuda"," packed = (indices[:, 0] | (indices[:, 1] \u003c\u003c 4)).to(torch.uint8)\n","_pack_fp4_to_uint8"," dataset_final = select_dataset(dataset_final, range(nsamples))\n"," return dataset.select(indices)\n","select_dataset"," return self._select_contiguous(start, length, new_fingerprint=new_fingerprint)\n","select"," self.data.slice(start, length),\n","_select_contiguous"," return MemoryMappedTable(self.fast_slice(offset=offset, length=length), self.path, replays)\n","slice"," batches[0] = batches[0].slice(offset - self._offsets[i])\n","fast_slice","class FrozenList(MutableSequence):\n"," set_module(self.model, name, packed_m.to(\"cpu\"))\n"," for key, buf in self._buffers.items():\n"," self._buffers[key] = fn(buf)\n"," return t.to(\n","convert","from .combine import concatenate_datasets, interleave_datasets\n","from huggingface_hub import DatasetCard, DatasetCardData\n"," class ForkProcess(process.BaseProcess):\n"," import threadpoolctl\n","class ArrowConfig(datasets.BuilderConfig):\n","class SubSplitInfo:\n","class SplitsVerificationError(DatasetsError):\n"," \"xml\": (xml.__name__, _hash_python_lines(inspect.getsource(xml).splitlines())),\n","class SplitBase(metaclass=abc.ABCMeta):\n"," return self._get_iterator()\n","__iter__"," return _SingleProcessDataLoaderIter(self)\n","_get_iterator"," super().__init__(loader)\n"," .random_(generator=loader.generator)\n","from .splits import (\n","class DatasetInfo:\n"," _init_fn(all_init_fields,\n"," return _create_fn(\u0027__init__\u0027,\n","_init_fn"," freqs_cis = torch.polar(torch.ones_like(freqs), freqs) # Convert to complex representation\n","class Sql(datasets.ArrowBasedBuilder):\n","from .core import get_fs_token_paths, open, open_files, open_local, url_to_fs\n","from fsspec.registry import filesystem, get_filesystem_class\n","class EmptyDatasetError(FileNotFoundError):\n","class DataFilesPatternsList(list[str]):\n","from xml.dom.xmlbuilder import DOMImplementationLS, DocumentLS\n","class DOMBuilderFilter:\n","/usr/lib/python3.12/xml/dom/xmlbuilder.py","from .parquet import parquet\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/parquet/parquet.py","class CharacterData(Childless, Node):\n","import xxhash\n","from ._xxhash import (\n","/usr/local/lib/python3.12/dist-packages/xxhash/__init__.py"," hidden_states = self.input_layernorm(hidden_states)\n"," return self.weight * hidden_states.to(input_dtype)\n","class BaseArrowExtractor(Generic[RowFormat, ColumnFormat, BatchFormat]):\n","class HBFile:\n","class Formatter(Generic[RowFormat, ColumnFormat, BatchFormat]):\n","class NestedDataStructure:\n"," \"pandas\": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),\n","class Extractor:\n","_SSL_CONTEXT_VERIFIED = _make_ssl_context(True)\n"," sslcontext.set_alpn_protocols((\"http/1.1\",))\n","_make_ssl_context"," self._set_alpn_protocols(protos)\n","set_alpn_protocols","class ZSTDDecompressor:\n","from . import spawn\n","class ClientResponse(HeadersMixin):\n","from . import config\n","PANDAS_VERSION = version.parse(importlib.metadata.version(\"pandas\"))\n","/usr/local/lib/python3.12/dist-packages/datasets/config.py"," return distribution(distribution_name).version\n","version","/usr/lib/python3.12/importlib/metadata/__init__.py"," return self.metadata[\u0027Version\u0027]\n"," return _adapters.Message(email.message_from_string(text))\n","metadata"," self._headers = self._repair_headers()\n","/usr/lib/python3.12/importlib/metadata/_adapters.py"," headers = [(key, redent(value)) for key, value in vars(self)[\u0027_headers\u0027]]\n","_repair_headers"," return textwrap.dedent(\u0027 \u0027 * 8 + value)\n","redent"," text = re.sub(r\u0027(?m)^\u0027 + margin, \u0027\u0027, text)\n","dedent","/usr/lib/python3.12/textwrap.py"," return _compile(pattern, flags).sub(repl, string, count)\n","sub","class SharedMemory:\n","class TqdmCallback(fsspec.callbacks.TqdmCallback):\n"," outs = torch.cat(outputs, dim=0) if outputs else sorted_tokens.new_empty(0)\n","class ShareableList:\n","class DatasetTransformationNotAllowedError(Exception):\n","import pyarrow as pa\n"," from pyarrow._dataset_parquet import ( # noqa\n","class DocumentLS:\n","class EmptyStreamReader(StreamReader): # lgtm [py/missing-call-to-init]\n","class _BaseExamplesIterable:\n","class ShuffledDataSourcesExamplesIterable(ExamplesIterable):\n","class HashCacheMapper(AbstractCacheMapper):\n","class StepExamplesIterable(_BaseExamplesIterable):\n","from ._url import URL, cache_clear, cache_configure, cache_info\n","from .streaming import extend_dataset_builder_for_streaming\n","from .utils.patching import patch_submodule\n","class patch_submodule:\n","class FaissIndex(BaseIndex):\n"," dataset = dataset.cast(Features(new_features))\n"," dataset = dataset.with_format(**format)\n","cast"," dataset = copy.deepcopy(self)\n","with_format"," y = copier(memo)\n"," return _deepcopy(self, memo)\n","__deepcopy__"," setattr(result, k, copy.deepcopy(v, memo))\n","_deepcopy"," y = func(*args)\n"," args = (deepcopy(arg, memo) for arg in args)\n","\u0026lt;genexpr\u0026gt;"," append(deepcopy(a, memo))\n","_deepcopy_list","class _TextToBytesWrapper(io.BufferedReader):\n","from .np_formatter import NumpyFormatter\n","class NumpyFormatter(TensorFormatter[Mapping, np.ndarray, Mapping]):\n","/usr/local/lib/python3.12/dist-packages/datasets/formatting/np_formatter.py","class MappedExamplesIterable(_BaseExamplesIterable):\n"," with torch.autocast(device_type=device_type, enabled=False): # Force float32\n"," self.prev = torch.is_autocast_enabled(self.device)\n","/usr/local/lib/python3.12/dist-packages/torch/amp/autocast_mode.py"," setattr(cls, name, value)\n","_set_new_attribute"," torch.set_autocast_enabled(self.device, self._enabled)\n","class SchemaInferenceError(ValueError):\n","class EmptyNodeList(tuple):\n"," from pyarrow._dataset_orc import OrcFileFormat\n"," torch.tensor([act_max.max(), module.act_max.max()], device=act_max.device)\n","class WSMsgType(IntEnum):\n","class Translation:\n","from ._quoters import QUERY_PART_QUOTER, QUERY_QUOTER\n","UNQUOTER = _Unquoter()\n","/usr/local/lib/python3.12/dist-packages/yarl/_quoters.py","class Trace:\n","from .download_config import DownloadConfig\n","class DownloadConfig:\n","/usr/local/lib/python3.12/dist-packages/datasets/download/download_config.py","class PackagedDatasetModuleFactory(_DatasetModuleFactory):\n","def _import_class(fqp: str):\n","class CsvConfig(datasets.BuilderConfig):\n"," thousands: Optional[str] = None\n","CsvConfig","class SocketListener(object):\n","class Dataset(DatasetInfoMixin, IndexableMixin, TensorflowDatasetMixin):\n"," info: Optional[DatasetInfo] = None,\n","Dataset"," return _caches[func](*args, **kwds)\n"," return self._getitem(self, parameters)\n"," return Union[arg, type(None)]\n","Optional","class TimeoutHandle:\n","from .json import json\n"," session.mount(\"https://\", UniqueRequestIdAdapter())\n","import fsspec.utils\n","class BytesIOPayload(IOBasePayload):\n"," hidden_states = residual + hidden_states\n"," _register_formatter(PolarsFormatter, \"polars\", aliases=[\"pl\"])\n"," _FORMAT_TYPES_ALIASES[alias] = format_type\n","_register_formatter","class InvalidURLError(BadHttpMessage):\n"," dataset = dataset.map(\n","class Text(datasets.ArrowBasedBuilder):\n","class _TransportPlaceholder:\n","class ElasticSearchIndex(BaseIndex):\n","class Value:\n"," \"csv\": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),\n"," \"json\": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),\n","class _InitializeConfiguredDatasetBuilder:\n","from xml.dom.NodeFilter import NodeFilter\n","class NodeFilter:\n","/usr/lib/python3.12/xml/dom/NodeFilter.py","class ClientRequest:\n"," scaled_tensor = cast_to_fp4(scaled_tensor)\n"," x = step1 * mask1 + step2 * (~mask1) * mask2 + step3 * (~mask1) * (~mask2)\n","cast_to_fp4","/home/yiliu7/workspace/auto-round/auto_round/data_type/nvfp.py","from propcache.api import under_cached_property as cached_property\n","/usr/local/lib/python3.12/dist-packages/yarl/_url.py","from ._helpers import cached_property, under_cached_property\n","/usr/local/lib/python3.12/dist-packages/propcache/api.py"," from ._helpers_c import cached_property as cached_property_c # type: ignore[attr-defined, unused-ignore]\n","/usr/local/lib/python3.12/dist-packages/propcache/_helpers.py","from .helpers import calculate_timeout_when, set_result\n","from .utils.version import Version\n","class RedirectClientError(ClientError):\n","class WSMessageTypeError(TypeError):\n","class ConnectionWrapper(object):\n","class TCPConnector(BaseConnector):\n","class MagicNumberBaseExtractor(BaseExtractor, ABC):\n"," hidden_states, _ = self.self_attn(\n"," query_states = torch.cat((q_nope, q_pe), dim=-1)\n","class LocalFileSystem(AbstractFileSystem):\n"," self._sslobj = self._context._wrap_socket(\n","class TarExtractor(BaseExtractor):\n"," from .torch_formatter import TorchFormatter\n","class TorchFormatter(TensorFormatter[Mapping, \"torch.Tensor\", Mapping]):\n","/usr/local/lib/python3.12/dist-packages/datasets/formatting/torch_formatter.py","class MultipartPayloadWriter:\n","class GzipExtractor(MagicNumberBaseExtractor):\n"," self.all_tasks_done = threading.Condition(self.mutex)\n","ex = re.compile(r\"\"\"\u003c(a|A)\\s+(?:[^\u003e]*?\\s+)?(href|HREF)=[\"\u0027](?P\u003curl\u003e[^\"\u0027]+)\"\"\")\n"," sorted_tokens = hidden_states[indices // topk_ids.shape[1]]\n","class Signal(FrozenList[Callable[[Unpack[_Ts]], Awaitable[object]]]):\n"," from auto_round.export.export_to_llmcompressor.export import pack_layer\n","read_table.__doc__ = _read_table_docstring.format(\n","class HorizontallyConcatenatedMultiSourcesExamplesIterable(_BaseExamplesIterable):\n"," if not is_autocast_available(self.device):\n"," return torch._C._is_autocast_available(device_type)\n","is_autocast_available","class ValidationErr(DOMException):\n"," session = get_session()\n","NON_WORDS_CHARS = \"-._ 0-9\"\n","class KeyHasher:\n","class RelationalAttribute(Attribute):\n"," qdq_weight, scale, zp = self._qdq_weight(v, min_scale, max_scale)\n"," weight_q, scale, zp = self.weight_quant_func(\n","_qdq_weight"," qdq_res, scale = ref_nvfp4_quant(tensor, global_scale, group_size, v, scale_coeff=max_scale)\n","nv_fp4"," output_scale = get_reciprocal(scale * get_reciprocal(global_scale))\n","ref_nvfp4_quant"," return torch.where(x == 0, torch.zeros_like(x, dtype=x.dtype), 1.0 / x)\n","get_reciprocal","from .dataset_dict import DatasetDict, IterableDatasetDict\n","class DatasetDict(dict):\n","/usr/local/lib/python3.12/dist-packages/datasets/dataset_dict.py"," response = conn.getresponse()\n"," httplib_response = super().getresponse()\n","getresponse"," response.begin()\n","/usr/lib/python3.12/http/client.py"," version, status, reason = self._read_status()\n","begin"," line = str(self.fp.readline(_MAXLINE + 1), \"iso-8859-1\")\n","_read_status"," return self._sock.recv_into(b)\n","readinto","/usr/lib/python3.12/socket.py"," return self.read(nbytes, buffer)\n","recv_into"," return self._sslobj.read(len, buffer)\n","read","class MemoryMappedTable(TableBlock):\n","async def async_add_mask(\n","class Array3DExtensionType(_ArrayXDExtensionType):\n","from .streaming_download_manager import StreamingDownloadManager\n","class StreamingDownloadManager:\n","/usr/local/lib/python3.12/dist-packages/datasets/download/streaming_download_manager.py","class NoModificationAllowedErr(DOMException):\n"," indices = abs_indices + (torch.signbit(x).to(torch.long) \u003c\u003c 3)\n","class SimpleCacheFileSystem(WholeFileCacheFileSystem):\n","def get_executable():\n","/usr/local/lib/python3.12/dist-packages/multiprocess/spawn.py"," scale = global_scale * (vec_max * get_reciprocal(FLOAT4_E2M1_MAX))\n","def other_paths(\n","_Version = collections.namedtuple(\n"," \"audiofolder\": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),\n","class SupervisedKeysData:\n"," return Dataset(\n"," recordbatch for recordbatch in table.to_batches() if len(recordbatch) \u003e 0\n"," data_files = DataFilesDict.from_patterns(\n"," else DataFilesList.from_patterns(\n","from_patterns"," resolve_pattern(\n"," for filepath, info in fs.glob(pattern, detail=True, **glob_kwargs).items()\n"," return super().glob(path, **kwargs)\n","glob"," pattern = re.compile(pattern)\n","class WholeFileCacheFileSystem(CachingFileSystem):\n"," session = requests.Session()\n"," self.cookies = cookiejar_from_dict({})\n"," cookiejar = RequestsCookieJar()\n","cookiejar_from_dict","/usr/local/lib/python3.12/dist-packages/requests/cookies.py"," self._cookies_lock = _threading.RLock()\n","/usr/lib/python3.12/http/cookiejar.py","known_implementations = {\n","class LocalDatasetModuleFactoryWithoutScript(_DatasetModuleFactory):\n","class SocketTimeoutError(ServerTimeoutError):\n","class LookupError(Exception):\n","class Document(Node, DocumentLS):\n"," result = forward_call(*args, **kwargs)\n"," return F.linear(input, self.weight, self.bias)\n","/usr/local/lib/python3.12/dist-packages/torch/nn/modules/linear.py","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/json/json.py","class InvalidCharacterErr(DOMException):\n","def generate_from_dict(obj: Any):\n","from auto_round.utils import (\n","def proxies_from_env() -\u003e Dict[str, ProxyInfo]:\n","class Element(Node):\n"," new_layer = QuantLinear( ##pylint: disable=E1123\n"," torch.zeros((outfeatures, weight_infeatures), dtype=weight_dtype),\n"," class _FMMThreadPoolCtlController(threadpoolctl.LibController):\n","class ClientConnectorSSLError(*ssl_error_bases): # type: ignore[misc]\n","class SimpleArrowExtractor(BaseArrowExtractor[pa.Table, pa.Array, pa.Table]):\n"," table = ArrowReader.read_table(filename, in_memory=in_memory)\n"," return table_cls.from_file(filename)\n","read_table"," return cls(table, filename, replays)\n","class IterableDatasetDict(dict):\n"," return (cast_to_fp4(clipped_x) * get_reciprocal(output_scale)).reshape(m, n), scale\n"," step1 = round_ste(2.0 * x) / 2.0\n"," return (x.round() - x).detach() + x\n","round_ste"," attn_output, attn_weights = attention_interface(\n"," attn_output = torch.nn.functional.scaled_dot_product_attention(\n","sdpa_attention_forward","/home/yiliu7/workspace/transformers/src/transformers/integrations/sdpa_attention.py","class HTTPFile(AbstractBufferedFile):\n","class GzipFileSystem(BaseCompressedFileFileSystem):\n"," scaled_x = x.to(torch.float32) * output_scale + v\n"," topk_indices, topk_weights = self.gate(hidden_states)\n"," logits = F.linear(hidden_states.type(torch.float32), self.weight.type(torch.float32), None)\n"," ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)\n"," datasets = map_nested(\n","as_dataset"," mapped = function(data_struct)\n","map_nested"," ds = self._as_dataset(\n","_build_single_dataset"," return Dataset(fingerprint=fingerprint, **dataset_kwargs)\n","_as_dataset"," inferred_features = Features.from_arrow_schema(arrow_table.schema)\n"," if field.name in metadata_features and metadata_features_schema.field(field.name) == field\n","from_arrow_schema","from ._idl import readsav\n","RECTYPE_DICT = {0: \"START_MARKER\",\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_idl.py"," output.extend(list(torch.split(tmp_output, 1, dim=self.batch_dim)))\n"," return tensor.split(split_size_or_sections, dim)\n","split","/usr/local/lib/python3.12/dist-packages/torch/functional.py"," return torch._VF.split(self, split_size, dim) # type: ignore[attr-defined]\n","/usr/local/lib/python3.12/dist-packages/torch/_tensor.py","class AsyncResolver(AbstractResolver):\n","class _DatasetModuleFactory:\n"," block = block.to(self.device)\n"," param_applied = fn(param)\n","class DOMImplementation(DOMImplementationLS):\n"," return f(self, *args, **kwargs)\n","wrapped"," return torch.floor_divide(self, other)\n","__floordiv__"," return self.reciprocal() * other\n","__rdiv__","class Audio:\n","from ._fortran import FortranFile, FortranEOFError, FortranFormattingError\n","class FortranFile:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_fortran.py","def get_fs_token_paths(\n","class HubDatasetModuleFactoryWithScript(_DatasetModuleFactory):\n","class Token:\n"," .mul_(topk_weight.unsqueeze(dim=-1))\n","class PolarsArrowExtractor(BaseArrowExtractor[\"pl.DataFrame\", \"pl.Series\", \"pl.DataFrame\"]):\n","class BadHttpMessage(HttpProcessingError):\n","class DateAttribute(Attribute):\n","class NumpyMultiprocessingGenerator:\n"," causal_mask = create_causal_mask(\n"," causal_mask = mask_interface(\n","create_causal_mask","/home/yiliu7/workspace/transformers/src/transformers/masking_utils.py"," if allow_is_causal_skip and _ignore_causal_mask_sdpa(padding_mask, q_length, kv_length, kv_offset, local_size):\n","sdpa_mask_recent_torch"," padding_mask.all()\n","_ignore_causal_mask_sdpa","class DomstringSizeErr(DOMException):\n","Image","class FileLock(FileLock_):\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/_filelock.py"," hidden_states = hidden_states + self.shared_experts(residuals)\n","from auto_round.export.export_to_llmcompressor.export_to_fp import save_quantized_as_fp\n","from auto_round.export.export_to_autoround.qlinear_fp import QuantLinear\n","pa.register_extension_type(Array4DExtensionType((1, 2, 3, 4), \"int64\"))\n"," self.storage_dtype = self._generate_dtype(self.value_type)\n"," dtype = pa.list_(dtype)\n","_generate_dtype","from ._netcdf import netcdf_file, netcdf_variable\n","class CacheInfo(TypedDict):\n"," tp_dict = type.__new__(_TypedDictMeta, name, (*generic_base, dict), ns)\n","class ParquetWriter(ArrowWriter):\n","class QuantLinear(nn.Module):\n","_load_unlocked at \u003cfrozen importlib._bootstrap\u003e:921","module_from_spec at \u003cfrozen importlib._bootstrap\u003e:813","module_from_spec","create_module at \u003cfrozen importlib._bootstrap_external\u003e:1289","create_module","class DocumentFragment(Node):\n"," global_scale = global_scale.to(device=tensor.device, dtype=torch.float32)\n","class DownloadManager:\n","class NotSupportedErr(DOMException):\n"," return x * sign\n","from .http_writer import HttpVersion, HttpVersion10\n","from .abc import AbstractStreamWriter\n","/usr/local/lib/python3.12/dist-packages/aiohttp/http_writer.py","from ._cookie_helpers import parse_set_cookie_headers\n","/usr/local/lib/python3.12/dist-packages/aiohttp/abc.py","def preserve_morsel_with_coded_value(cookie: Morsel[str]) -\u003e Morsel[str]:\n","/usr/local/lib/python3.12/dist-packages/aiohttp/_cookie_helpers.py"," .sum(dim=1)\n"," m = WrapperLinear(\n"," self._init_tuning_params_and_quant_func()\n"," self._init_params(\"act_max_scale\", p_dtype, (1), 1.0, not orig_layer.act_dynamic)\n","_init_tuning_params_and_quant_func"," p = torch.tensor(1.0 * value, device=self.device, dtype=dtype)\n","_init_params","class _DNSResolverManager:\n","class HttpBadRequest(BadHttpMessage):\n","class PolarsFeaturesDecoder:\n"," module._patched_for_streaming = download_config\n","class ResolveResult(TypedDict):\n","from .transaction import Transaction\n","class Transaction:\n","/usr/local/lib/python3.12/dist-packages/fsspec/transaction.py","class Array3D(_ArrayXD):\n"," self.orig_layer.scale = scale.reshape(shape[0], -1).to(\"cpu\")\n"," freqs = (inv_freq_expanded.to(x.device) @ position_ids_expanded).transpose(1, 2)\n","class MultipartResponseWrapper:\n"," scale = float8_e4m3fn_ste(scale).to(torch.float32) ##e4m3 does not support torch compile\n"," fp8 = (x.to(torch.float8_e4m3fn).to(x.dtype) - x).detach() + x\n","float8_e4m3fn_ste","class ParseArffError(ArffError):\n","class SplitGenerator:\n"," ).to(cache_device)\n","class BufferedReaderPayload(IOBasePayload):\n"," clear_memory(device_list=self.device_list)\n"," memory_monitor.update(device_list=device_list)\n"," current_vram = torch.cuda.memory_reserved(device) / 1024**3 # GB\n","update"," return memory_stats(device=device).get(\"reserved_bytes.all.current\", 0)\n","memory_reserved"," _recurse_add_to_result(\"\", stats)\n","memory_stats"," _recurse_add_to_result(prefix + k, v)\n","_recurse_add_to_result"," result.append((prefix, obj))\n"," input_global_scale = calculate_gparam(layer.act_max, layer.group_size) # , model.device\n"," global_scale = FLOAT8_E4M3_MAX * FLOAT4_E2M1_MAX * get_reciprocal(tensor_amax)\n","calculate_gparam","class Example(TypedDict):\n","class _RelativeInstruction:\n","class ReadAheadCache(BaseCache):\n","/usr/local/lib/python3.12/dist-packages/fsspec/caching.py"," q_pe, k_pe = apply_rotary_emb(q_pe, k_pe, position_embeddings.to(q_pe.device))\n"," xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3).type_as(xq)\n","apply_rotary_emb","class RarExtractor(MagicNumberBaseExtractor):\n","class Xml(datasets.ArrowBasedBuilder):\n","from .pdffolder import pdffolder\n","class PdfFolderConfig(folder_based_builder.FolderBasedBuilderConfig):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/pdffolder/pdffolder.py","class StreamReaderPayload(AsyncIterablePayload):\n","class WriteCachedTransaction(Transaction):\n"," mask1 = x \u003c 2.0\n"," scales.reshape(tensor.shape[0], -1) * get_reciprocal(global_scale)\n","def generate_fingerprint(dataset: \"Dataset\") -\u003e str:\n","from .helpers import (\n"," max_scale = best_params.get(\"max_scale\", torch.tensor(1.0)).to(self.device)\n","class VarWriter5:\n","class GeneratorBasedBuilder(DatasetBuilder):\n","from ._parse import (\n","def _check_netloc(netloc: str) -\u003e None:\n","/usr/local/lib/python3.12/dist-packages/yarl/_parse.py","class ClientOSError(ClientConnectionError, OSError):\n","class TypeInfo(object):\n"," formatted_output = format_table(\n"," formatted_output = formatter(pa_table_to_format, query_type=query_type)\n","format_table"," return self.format_batch(pa_table)\n"," batch = self.numpy_arrow_extractor().extract_batch(pa_table)\n","format_batch"," return {col: self._arrow_array_to_numpy(pa_table[col]) for col in pa_table.column_names}\n","extract_batch"," if any(\n","_arrow_array_to_numpy"," (isinstance(x, np.ndarray) and (x.dtype == object or x.shape != array[0].shape))\n"," new_layer.device = orig_device\n"," final_scale = scales.to(torch.float8_e4m3fn)\n","from auto_round.export.export_to_llmcompressor.utils import generate_ignore_regex_list\n","class HubDatasetModuleFactoryWithoutScript(_DatasetModuleFactory):\n","class OpenFile:\n","class Pointer:\n"," x = torch.abs(x)\n"," min_scale.data.clamp_(0, 1.0)\n"," attn_output = self.o_proj(attn_output)\n"," import pyarrow._parquet as _parquet\n","class _ConnectTunnelConnection(Connection):\n","class InvalidUrlClientError(InvalidURL):\n","class IndexableMixin:\n","class Order(str, enum.Enum):\n","class ArrowReader(BaseReader):\n","class WSMessage(NamedTuple):\n"," scaled_tensor = tensor.to(global_scale.dtype) * get_reciprocal(\n","class IterableDataset(DatasetInfoMixin):\n"," hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon)\n","DTYPE_DICT = {1: \u0027\u003eu1\u0027,\n","from .callbacks import Callback\n","CTL = {chr(i) for i in range(0, 32)} | {\n"," block.to(\"cpu\")\n"," param.data = param_applied\n","class Payload(ABC):\n","class AbstractArchiveFileSystem(AbstractFileSystem):\n","/usr/local/lib/python3.12/dist-packages/fsspec/archive.py","class BasenameCacheMapper(AbstractCacheMapper):\n"," new_x = torch.empty_like(outs)\n"," freqs_cis = freqs_cis * self.attention_scaling\n","class MatFile5Reader(MatFileReader):\n","class HttpProcessingError(Exception):\n","class SyntaxErr(DOMException):\n","Video"," variance = hidden_states.pow(2).mean(-1, keepdim=True)\n","class BaseConnector:\n","class _AbsoluteInstruction:\n","class _InternalURLCache(TypedDict, total=False):\n","class AttrDict(dict):\n","_WS_EXT_RE: Final[Pattern[str]] = re.compile(\n","class NamespaceErr(DOMException):\n","USES_AUTHORITY = frozenset(uses_netloc)\n","class PandasArrayExtensionArray(PandasExtensionArray):\n"," from .__info__ import __version__, __author__, __doc__, __license__\n","from .videofolder import videofolder\n","class VideoFolder(folder_based_builder.FolderBasedBuilder):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/videofolder/videofolder.py"," return nn.functional.silu(input)\n","/home/yiliu7/workspace/transformers/src/transformers/activations.py"," return torch._C._nn.silu(input)\n","silu","/usr/local/lib/python3.12/dist-packages/torch/nn/functional.py","class TqdmCallback(Callback):\n","/usr/local/lib/python3.12/dist-packages/fsspec/callbacks.py","class VideoFolderConfig(folder_based_builder.FolderBasedBuilderConfig):\n"," topk_weight, topk_idx = torch.topk(scores, k=self.top_k, dim=-1, sorted=False)\n","class CompressObjArgs(TypedDict, total=False):\n"," hidden_states = decoder_layer(\n"," self.inputs[name][key] = list(torch.split(data, 1, dim=self.batch_dim))\n","class Lz4FileSystem(BaseCompressedFileFileSystem):\n"," torch.set_autocast_dtype(self.device, self.fast_dtype) # type: ignore[arg-type]\n","class HttpRequestParser(HttpParser[RawRequestMessage]):\n","class NonMutableDict(dict):\n","class JsonConfig(datasets.BuilderConfig):\n"," tensor_amax = torch.ones((1), device=m.weight.device)\n"," indices = self.map(\n"," if self.data.schema != self.info.features.arrow_schema:\n","from ..parallel import parallel_map\n","from .parallel import ParallelBackendConfig, parallel_backend, parallel_map\n","/usr/local/lib/python3.12/dist-packages/datasets/parallel/__init__.py","class TypedSequence:\n"," class ForkServerProcess(process.BaseProcess):\n","class AbstractResolver(ABC):\n"," k_nope = self.kv_b_proj(self.kv_a_layernorm(k_nope)).view(key_shape).transpose(1, 2)\n"," hidden_states = hidden_states.to(torch.float32)\n","class NonMatchingSplitsSizesError(SplitsVerificationError):\n","from auto_round.export.export_to_llmcompressor.export_to_static_fp import save_quantized_as_static_fp\n","from auto_round.export.utils import save_model\n","/home/yiliu7/workspace/auto-round/auto_round/export/export_to_llmcompressor/export_to_static_fp.py","class FortranFormatParser:\n"," compressed_kv = self.kv_a_proj_with_mqa(hidden_states)\n","class Features(dict):\n","class IntFormat:\n","_EXTENSION_TO_MODULE.update({ext.upper(): (\"audiofolder\", {}) for ext in audiofolder.AudioFolder.EXTENSIONS})\n","from .version import Version\n","class Version:\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/version.py","class ConcatenationTable(Table):\n"," class SpawnProcess(process.BaseProcess):\n","def whosmat(file_name, appendmat=True, **kwargs):\n"," q = self.q_proj(hidden_states)\n"," x = x.clamp(-6, 6)\n"," return pa.Table.from_batches(batches, schema=self._schema)\n"," sslcontext = ssl.create_default_context()\n"," context = SSLContext(PROTOCOL_TLS_CLIENT)\n","create_default_context"," self = _SSLContext.__new__(cls, protocol)\n","from auto_round.data_type.utils import reshape_pad_tensor_by_group_size, revert_tensor_by_pad\n","mclass_info = {\n"," tmp_input_ids, tmp_input_others = self._sampling_inputs(\n"," current_input_ids = [input_ids[i] for i in indices]\n","_sampling_inputs"," return iter(self.unbind(0))\n","class BuilderConfig:\n","class ServerConnectionError(ClientConnectionError):\n","class Entity(Identified, Node):\n"," row for chunk in pa_array.chunks for row in chunk.to_numpy(zero_copy_only=zero_copy_only)\n"," xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))\n","class netcdf_variable:\n","/usr/local/lib/python3.12/dist-packages/scipy/io/_netcdf.py"," sign = torch.sign(x)\n","class netcdf_file:\n","class _ArrayXD:\n"," inputs_embeds: torch.Tensor = self.embed_tokens(input_ids)\n"," return F.embedding(\n","/usr/local/lib/python3.12/dist-packages/torch/nn/modules/sparse.py"," return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)\n","embedding","class FormattingConfig:\n","class MatWriteError(Exception):\n","class Pickler(dill.Pickler):\n"," dispatch = dill._dill.MetaCatchingDict(dill.Pickler.dispatch.copy())\n","Pickler","class CyclingMultiSourcesExamplesIterable(_BaseExamplesIterable):\n"," dtype = torch.get_autocast_dtype(device_type)\n","class InvalidAccessErr(DOMException):\n","class ShuffledDataSourcesArrowExamplesIterable(ArrowExamplesIterable):\n","class streamer:\n","class InvalidStateErr(DOMException):\n"," input_others = to_device(input_others, device)\n"," input[inp] = to_device(input[inp], device)\n","to_device"," return input.to(device)\n","from ._mio5_params import (MatlabObject, MatlabFunction, MDTYPES, NP_TO_MTYPES,\n","def _read_hb_data(content, header):\n"," position_ids = cache_position.unsqueeze(0)\n","class ImageFolderConfig(folder_based_builder.FolderBasedBuilderConfig):\n","/usr/local/lib/python3.12/dist-packages/datasets/packaged_modules/imagefolder/imagefolder.py","class ParallelBackendConfig:\n","/usr/local/lib/python3.12/dist-packages/datasets/parallel/parallel.py","class FolderBasedBuilder(datasets.GeneratorBasedBuilder):\n"," import resource\n"," cnts.scatter_(1, topk_ids, 1)\n","_resource_tracker = ResourceTracker()\n"," self._lock = threading.RLock()\n"," cache_position: torch.Tensor = torch.arange(\n"," cnts = topk_ids.new_zeros((topk_ids.shape[0], len(self.experts)))\n"," input_ids_new = torch.vstack(input_ids_new)\n","class SqlConfig(datasets.BuilderConfig):\n","class ParquetDataset:\n"," calib_dataloader = DataLoader(dataset_final, batch_size=bs, shuffle=False, collate_fn=collate_batch)\n"," torch._C._log_api_usage_once(\"python.data_loader\")\n","class VerificationMode(enum.Enum):\n"," ATTRS = frozenset(\n","class FileActor:\n","class NamedSplitAll(NamedSplit):\n","from .typedefs import _CIMultiDict\n","Handler = Callable[[\"Request\"], Awaitable[\"StreamResponse\"]]\n","/usr/local/lib/python3.12/dist-packages/aiohttp/typedefs.py"," class ForkServerContext(BaseContext):\n","import netrc\n","class _netrclex:\n","/usr/lib/python3.12/netrc.py"," context.load_default_certs(purpose)\n"," self.set_default_verify_paths()\n","load_default_certs","class Hasher:\n"," self.sock = sock = self._new_conn()\n"," sock = connection.create_connection(\n"," for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):\n","create_connection","/usr/local/lib/python3.12/dist-packages/urllib3/util/connection.py"," for res in _socket.getaddrinfo(host, port, family, type, proto, flags):\n","getaddrinfo"," kE2M1 = torch.tensor(FLOAT_TO_E2M1, device=device, dtype=x.dtype)\n"," __doc__ = f\"\"\"\n","ParquetDataset","class URL:\n","def _get_index_level_values(index):\n","/usr/local/lib/python3.12/dist-packages/pyarrow/pandas_compat.py"," clear_memory(device_list=self.device_list)\n"," torch.cuda.synchronize(d)\n"," return torch._C._cuda_synchronize()\n","synchronize","/usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py"," all_to_quantized_module_names = list(set(all_to_quantized_module_names))\n","_SSL_CONTEXT_UNVERIFIED = _make_ssl_context(False)\n"," sslcontext = ssl.SSLContext(ssl.PROTOCOL_TLS_CLIENT)\n","class ExtractManager:\n","pa.register_extension_type(Array3DExtensionType((1, 2, 3), \"int64\"))\n"," sslcontext.set_default_verify_paths()\n","class Array5DExtensionType(_ArrayXDExtensionType):\n","class SevenZipExtractor(MagicNumberBaseExtractor):\n","class InMemoryTable(TableBlock):\n","class Process(process.BaseProcess):\n","class AsyncStreamReaderMixin:\n","from ..info import DatasetInfo, DatasetInfosDict\n","_offline = os.environ.get(\"HF_DATASETS_OFFLINE\")\n"," table = _memory_mapped_arrow_table_from_file(filename)\n"," opened_stream = _memory_mapped_record_batch_reader_from_file(filename)\n","_memory_mapped_arrow_table_from_file"," memory_mapped_stream = pa.memory_map(filename)\n","_memory_mapped_record_batch_reader_from_file","class _ParentProcess(BaseProcess):\n","from .naming import _split_re, filenames_for_dataset_split\n","def filepattern_for_dataset_split(dataset_name, split, data_dir, filetype_suffix=None):\n","/usr/local/lib/python3.12/dist-packages/datasets/naming.py","from typing import Optional, Union\n","class PostProcessedInfo:\n","from .client_reqrep import (\n","class Table(IndexedTableMixin):\n","class PandasFormatter(TableFormatter[pd.DataFrame, pd.Series, pd.DataFrame]):\n","class AuthenticationError(ProcessError):\n","class ObjectPointer(Pointer):\n","from .utils.track import TrackedIterableFromGenerator, tracked_list, tracked_str\n","class tracked_str(str):\n","/usr/local/lib/python3.12/dist-packages/datasets/utils/track.py","class XmlListener(Listener):\n","class VerticallyConcatenatedMultiSourcesExamplesIterable(_BaseExamplesIterable):\n","@docfiller\n","0x5 (ThreadPoolExecutor-1_0)","_get_table_from_filename"," return pa.ipc.open_stream(memory_mapped_stream)\n"," return RecordBatchStreamReader(source, options=options,\n","open_stream","/usr/local/lib/python3.12/dist-packages/pyarrow/ipc.py"," self._open(source, options=options, memory_pool=memory_pool)\n"," enum_class._member_map_[member_name] = enum_member\n","class NumericAttribute(Attribute):\n","class NominalAttribute(Attribute):\n","WS_CLOSED_MESSAGE = tuple.__new__(WSMessage, (WSMsgType.CLOSED, None, None))\n","class DigestAuthChallenge(TypedDict, total=False):\n","class WSServerHandshakeError(ClientResponseError):\n","class ResourceTracker(object):\n"," builder_cls = get_dataset_builder_class(dataset_module, dataset_name=dataset_name)\n"," builder_cls = configure_builder_class(\n","get_dataset_builder_class"," class ConfiguredDatasetBuilder(builder_cls):\n","configure_builder_class","logger = datasets.utils.logging.get_logger(__name__)\n"," return logging.getLogger(name)\n","get_logger","/usr/local/lib/python3.12/dist-packages/datasets/utils/logging.py"," return Logger.manager.getLogger(name)\n","getLogger","/usr/lib/python3.12/logging/__init__.py"," self._fixupParents(rv)\n"," obj.append(alogger)\n","_fixupParents"," self.loggerMap[alogger] = None\n","append","class XzFileSystem(BaseCompressedFileFileSystem):\n","class BaseTimerContext(ContextManager[\"BaseTimerContext\"]):\n","class ClientWebSocketResponse:\n","class UnexpectedSplitsError(SplitsVerificationError):\n","from auto_round.export.export_to_autoround.export_to_fp8 import FP8QLinear\n","from auto_round.export.utils import filter_quantization_config, save_model\n","/home/yiliu7/workspace/auto-round/auto_round/export/export_to_autoround/export_to_fp8.py","from fsspec.implementations.cache_metadata import CacheMetadata\n","class CacheMetadata:\n","/usr/local/lib/python3.12/dist-packages/fsspec/implementations/cache_metadata.py"," pa_table = opened_stream.read_all()\n","async def _file_size(url, session=None, *args, **kwargs):\n"," from ._http_parser import ( # type: ignore[import-not-found,no-redef]\n","class Finalize(object):\n","class FortranFormattingError(TypeError, OSError):\n","class ArrowWriter:\n","class VarHeader4:\n"," abs_diff_x = torch.abs(abs_x.unsqueeze(-1) - kE2M1) # [m, n, 8]\n","class HierarchyRequestErr(DOMException):\n","class MatReadWarning(UserWarning):\n","class FP8QLinear(torch.nn.Module):\n","class ExpectedMoreSplitsError(SplitsVerificationError):\n","class BaseReader:\n","class Childless:\n","from ._websocket.writer import WebSocketWriter\n","from ._websocket.reader import WebSocketReader\n"," from .reader_c import ( # type: ignore[import-not-found]\n","/usr/local/lib/python3.12/dist-packages/aiohttp/_websocket/reader.py"," from .mask import _websocket_mask_cython # type: ignore[import-not-found]\n","class ClientHttpProxyError(ClientResponseError):\n","class Attr(Node):\n","class WSHandshakeError(Exception):\n","class Url(str):\n"," HttpRequestParserC = HttpRequestParser\n"," self.orig_layer.weight.data.copy_(qdq_weight)\n","class HttpPayloadParser:\n","class HttpResponseParser(HttpParser[RawResponseMessage]):\n","class HttpParser(abc.ABC, Generic[_MsgT]):\n","class ChunkState(IntEnum):\n"," nm_tpl.__annotations__ = nm_tpl.__new__.__annotations__ = types\n","class RawRequestMessage(NamedTuple):\n","class StreamReader(AsyncStreamReaderMixin):\n","def _replace_heap(variable, heap):\n"," from pyarrow._hdfs import HadoopFileSystem # noqa\n","class StreamWriter(AbstractStreamWriter):\n","class HttpVersion(NamedTuple):\n","class ParquetWriter:\n","ParquetWriter","class FlowControlDataQueue(DataQueue[_T]):\n","class ParquetFile:\n","class AbstractStreamWriter(ABC):\n"," from pyarrow._s3fs import ( # noqa\n"," return cls._create_(\n"," return metacls.__new__(metacls, class_name, bases, classdict, boundary=boundary)\n","_create_","class AbstractCookieJar(Sized, IterableBase):\n","class AbstractView(ABC):\n","class AbstractMatchInfo(ABC):\n","class AbstractRouter(ABC):\n","class ZLibCompressor(ZlibBaseHandler):\n","class ZLibBackendProtocol(Protocol):\n"," return super().__new__(mcls, name, bases, namespace, **kwargs)\n","def matfile_version(file_name, *, appendmat=True):\n","class ZLibDecompressObjProtocol(Protocol):\n"," return _wrapfunc(a, \u0027searchsorted\u0027, v, side=side, sorter=sorter)\n","searchsorted"," return bound(*args, **kwds)\n","class ZipExtractor(MagicNumberBaseExtractor):\n","class ErrorableProtocol(Protocol):\n","class HeadersMixin:\n","class TextIOPayload(IOBasePayload):\n","class SharedMemoryContext:\n"," context.set_alpn_protocols(ALPN_PROTOCOLS)\n","class PythonFeaturesDecoder:\n","class noop:\n","TOKEN = CHAR ^ CTL ^ SEPARATORS\n","EMPTY_BODY_STATUS_CODES = frozenset((204, 304, *range(100, 200)))\n","_SENTINEL = enum.Enum(\"_SENTINEL\", \"sentinel\")\n","class netrc:\n","fingerprint_rng = random.Random()\n","class NetrcParseError(Exception):\n","class InvalidUrlRedirectClientError(InvalidUrlClientError, RedirectClientError):\n","class ConnectionTimeoutError(ServerTimeoutError):\n","from .typedefs import JSONEncoder, _CIMultiDict\n","class ElementInfo(object):\n","class ClientConnectionResetError(ClientConnectionError, ConnectionResetError):\n"," modules = list(self.model.modules())\n","class _BaseVersion:\n","class LineTooLong(BadHttpMessage):\n","class ContentEncodingError(PayloadEncodingError):\n","MAGIC_NUMBER_MAX_LENGTH = max(\n","class Middleware(Protocol):\n","USES_RELATIVE = frozenset(uses_relative)\n","from ._query import (\n","from ._quoting import _Quoter, _Unquoter\n"," from ._quoting_c import _Quoter, _Unquoter\n","/usr/local/lib/python3.12/dist-packages/yarl/_quoting.py","class Sequence:\n","class DigestAuthMiddleware:\n","from multidict import istr\n"," from ._multidict import (\n","/usr/local/lib/python3.12/dist-packages/multidict/__init__.py","class HTTPStreamFile(AbstractBufferedFile):\n","from ._compat import USE_EXTENSIONS\n"," from . import _multidict # type: ignore[attr-defined] # noqa: F401\n","/usr/local/lib/python3.12/dist-packages/multidict/_compat.py","from ._abc import MultiMapping, MutableMultiMapping\n","class MutableMultiMapping(MultiMapping[_V], MutableMapping[str, _V]):\n","/usr/local/lib/python3.12/dist-packages/multidict/_abc.py","class MultiMapping(Mapping[str, _V_co]):\n","class SupportsKeys(Protocol[_V_co]):\n","class ZLibDecompressor(ZlibBaseHandler):\n","class Lz4Extractor(MagicNumberBaseExtractor):\n","class Bzip2Extractor(MagicNumberBaseExtractor):\n","class ZstdExtractor(MagicNumberBaseExtractor):\n"," setattr(submodule.gate_proj, global_scale_name, global_scale.clone())\n","class TextConfig(datasets.BuilderConfig):\n","class ZstdFileSystem(BaseCompressedFileFileSystem):\n","class StringIOPayload(StringPayload):\n"," torch.cat(\n","class BaseCompressedFileFileSystem(AbstractArchiveFileSystem):\n"," _set_new_attribute(cls, \u0027__init__\u0027,\n","class AbstractAsyncStreamedFile(AbstractBufferedFile):\n"," scores = logits.softmax(dim=-1, dtype=torch.float32)\n","class LocalFileOpener(io.IOBase):\n","__all__ = (\n","class DocumentType(Identified, Childless, Node):\n","class UnixClientConnectorError(ClientConnectorError):\n","/usr/local/lib/python3.12/dist-packages/aiohttp/_websocket/writer.py","class Text(CharacterData):\n","from fsspec import AbstractFileSystem, filesystem\n","class ProcessingInstruction(Childless, Node):\n","class StringAttribute(Attribute):\n","class NamedNodeMap(object):\n","class ClientConnectionError(ClientError):\n","class Node(xml.dom.Node):\n","class ClientError(Exception):\n","class ParquetConfig(datasets.BuilderConfig):\n","class DOMImplementationLS:\n","class DOMBuilder:\n","class Options:\n","class CDATASection(Text):\n","class WebSocketWriter:\n"," random: random.Random = random.Random(),\n","WebSocketWriter","from .domreg import getDOMImplementation, registerDOMImplementation\n","class UserDataHandler:\n","MatFile5Reader"," tensor_amax = tensor.abs().max().to(torch.float32)\n","from .tqdm import (\n","class NonMatchingChecksumError(ChecksumVerificationError):\n","class ExpectedMoreDownloadedFilesError(ChecksumVerificationError):\n","class DatasetGenerationCastError(DatasetGenerationError):\n","class Csv(datasets.ArrowBasedBuilder):\n","class DatasetGenerationError(DatasetBuildError):\n","class _PoolCache(dict):\n","class DefunctDatasetError(DatasetsError):\n","class ExceptionWithTraceback:\n","class TrackedIterableFromGenerator(Iterable):\n","class tracked_list(list):\n"," class SpawnContext(BaseContext):\n","def list_table_cache_files(table: Table) -\u003e list[str]:\n"," class ForkContext(BaseContext):\n","from .utils.logging import get_logger\n","from .tqdm import ( # noqa: F401 # imported for backward compatibility\n","class LazyRow(LazyDict):\n","from . import reduction\n","class ForkingPickler(pickle.Pickler):\n","/usr/local/lib/python3.12/dist-packages/multiprocess/reduction.py","class LazyDict(MutableMapping):\n","class HfFileSystemStreamFile(fsspec.spec.AbstractBufferedFile):\n","class HfFileSystem(fsspec.AbstractFileSystem):\n"," self.orig_layer.act_quant_func = self.act_quant_func\n","class HfFileSystemResolvedPath:\n"," import zstandard\n"," torch.clear_autocast_cache()\n","__exit__","class FilteredExamplesIterable(MappedExamplesIterable):\n"," cls.__hash__ = hash_action(cls, field_list, globals)\n","write_table.__doc__ = f\"\"\"\n","class FSSpecHandler(FileSystemHandler):\n","class AbstractBufferedFile(io.IOBase):\n","class ConnectionKey(NamedTuple):\n","class DatasetBuilder:\n"," from pyarrow._gcsfs import GcsFileSystem # noqa\n"," from pyarrow._azurefs import AzureFileSystem # noqa\n","class CustomFormatter(Formatter[dict, ColumnFormat, dict]):\n","class BaseContext(object):\n","class TensorFormatter(Formatter[RowFormat, ColumnFormat, BatchFormat]):\n","class AbstractReducer(metaclass=ABCMeta):\n","def dump(obj, file, protocol=None, *args, **kwds):\n"," _exitcode_to_name[-signum] = f\u0027-{name}\u0027\n","class _MainProcess(BaseProcess):\n","class BaseProcess(object):\n","class FSTimeoutError(asyncio.TimeoutError):\n","class CachedDatasetModuleFactory(_DatasetModuleFactory):\n","class PickleableTextIOWrapper(io.TextIOWrapper):\n","class DatasetModule:\n","class AbstractFileSystem(metaclass=_Cached):\n","class _Cached(type):\n","class Split:\n","class DaskTransaction(Transaction):\n","from .config import apply_config, conf\n","class DotPrinterCallback(Callback):\n","class NoOpCallback(Callback):\n","class Callback:\n","class PandasArrayExtensionDtype(PandasExtensionDtype):\n","class UpdatableLRU(Generic[P, T]):\n","class ArrayExtensionArray(pa.ExtensionArray):\n","class KnownPartsOfAFile(BaseCache):\n","pa.register_extension_type(Array5DExtensionType((1, 2, 3, 4, 5), \"int64\"))\n","class AllBytes(BaseCache):\n","class BytesCache(BaseCache):\n","class RepeatExamplesIterable(_BaseExamplesIterable):\n","from . import _byteordercodes as boc\n","class ZLibCompressObjProtocol(Protocol):\n","class BlockCache(BaseCache):\n"," \"arrow\": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),\n","class FirstChunkCache(BaseCache):\n","class BaseCache:\n","class _NoDuplicateSafeLoader(yaml.SafeLoader):\n"," hook_handles = self._register_act_max_hook(self.model)\n"," hook_handles.append(hook)\n","_register_act_max_hook"," return ns[\u0027__create_fn__\u0027](**locals)\n","__create_fn__ at \u003cstring\u003e:2","__create_fn__","\u0026lt;string\u0026gt;","class TableBlock(Table):\n","class _PatchedModuleObj:\n","class TraceRequestStartParams:\n","class ShufflingConfig:\n","class NamedPipeConnector(BaseConnector):\n","class MMapCache(BaseCache):\n","from .experimental import experimental\n","def available_compressions():\n","ALL_ALLOWED_EXTENSIONS = list(_EXTENSION_TO_MODULE.keys()) + [\".zip\"]\n","class ForkAwareLocal(threading.local):\n","class AsyncFileSystem(AbstractFileSystem):\n"," tokens_per_expert = cnts.sum(dim=0)\n"," import aiohttp._http_writer as _http_writer # type: ignore[import-not-found]\n","class EofStream(Exception):\n","0x2 (Thread-2)"," self.was_killed.wait(self.sleep_interval)\n"," signaled = self._cond.wait(timeout)\n","wait"," waiter = _allocate_lock()\n","class CachingFileSystem(AbstractFileSystem):\n","class PdfFolder(folder_based_builder.FolderBasedBuilder):\n","class FolderBasedBuilderConfig(datasets.BuilderConfig):\n","class ServerFingerprintMismatch(ServerConnectionError):\n","class NoDataAllowedErr(DOMException):\n","from ..utils.file_utils import ( # noqa: F401 # backward compatibility\n","class Json(datasets.ArrowBasedBuilder):\n","def pandas_read_json(path_or_buf, **kwargs):\n","class BadContentDispositionParam(RuntimeWarning):\n"," delattr(layer, \"act_max\")\n"," super().__delattr__(name)\n","__delattr__","from .utils.stratify import stratified_shuffle_split_generate_indices\n","class _DeprecationWaiter:\n"," def ws_connect(\n","class InfinityType:\n","from scipy.sparse import coo_array, issparse, coo_matrix\n","FileStats = FileInfo\n"," calib_dataset = calib_dataset.shuffle(seed=seed)\n"," return self._new_dataset_with_indices(\n","shuffle"," return Dataset(\n","_new_dataset_with_indices","class Connection:\n","class SplitReadInstruction:\n","def extend_module_for_streaming(module_path, download_config: Optional[DownloadConfig] = None):\n","class ArrowBasedBuilder(DatasetBuilder):\n","from .utils.py_utils import Literal\n","/usr/local/lib/python3.12/dist-packages/datasets/combine.py","class SkipExamplesIterable(_BaseExamplesIterable):\n","class RequestInfo(_RequestInfo):\n","from .splits import NamedSplit, Split, SplitDict, SplitInfo\n","ClientRequest"," import ssl\n","class DatasetInfoMixin:\n","SERVER: Final[istr] = istr(\"Server\")\n"," tokens_for_this_expert = sorted_tokens[start_idx:end_idx]\n","class BadContentDispositionHeader(RuntimeWarning):\n","class BytesPayload(Payload):\n","class ImageFolder(folder_based_builder.FolderBasedBuilder):\n","class AsyncStreamIterator(Generic[_T]):\n"," q_nope, q_pe = torch.split(q, [self.qk_nope_head_dim, self.qk_rope_head_dim], dim=-1)\n"," return torch._VF.split_with_sizes(self, split_size, dim)\n","_COOKIE_PATTERN = re.compile(\n","class AbstractAccessLogger(ABC):\n","class TimerContext(BaseTimerContext):\n","QCONTENT = {chr(i) for i in range(0x20, 0x7F)} | {\"\\t\"}\n","SEPARATORS = {\n","class ProcessError(Exception):\n","class TableFormatter(Formatter[RowFormat, ColumnFormat, BatchFormat]):\n","class ClientResponseError(ClientError):\n","class BaseProtocol(asyncio.Protocol):\n","class UndefinedType(Enum):\n","class OptimizedTypedSequence(TypedSequence):\n","class DatasetInfosDict(dict[str, DatasetInfo]):\n","class DownloadChecksumsEntryData:\n","class ArchiveIterable(TrackedIterableFromGenerator):\n"," \"text\": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),\n","class ClassLabel:\n","class Array2D(_ArrayXD):\n","class NamedSplit(SplitBase):\n"," set_amax_for_all_moe_layers(block, attr_name=\"act_max\")\n"," set_amax_for_uncalibrated_experts(\n","set_amax_for_all_moe_layers"," all_values = torch.cat(flat_values)\n","set_amax_for_uncalibrated_experts","X_FORWARDED_FOR: Final[istr] = istr(\"X-Forwarded-For\")\n","class Array4D(_ArrayXD):\n","class PercentSlice(metaclass=PercentSliceMeta):\n","class SupportsIKeys(Protocol[_V_co]):\n","class ReadInstruction:\n","class DataFilesList(list[str]):\n","class DOMEntityResolver(object):\n","class DOMInputSource(object):\n","class DataFilesDict(dict[str, DataFilesList]):\n","class classproperty(property): # pylint: disable=invalid-name\n","class MissingFilesOnHfGcsError(ConnectionError):\n","class Comment(CharacterData):\n","class WebSocketError(Exception):\n","class MapResult(ApplyResult):\n"," _settings = {\n","DOMBuilder","class Listener(object):\n","class DatasetsError(Exception):\n","class MaybeEncodingError(Exception):\n","class IndexedTableMixin:\n","class PythonFormatter(Formatter[Mapping, list, Mapping]):\n","class TimeoutError(ProcessError):\n","class DatasetNotOnHfGcsError(ConnectionError):\n","class _SessionRequestContextManager:\n"," abs_indices = torch.argmin(abs_diff_x, dim=-1) # [m, n]\n","class WrongDocumentErr(DOMException):\n","class ManualDownloadError(DatasetBuildError):\n","class IMapUnorderedIterator(IMapIterator):\n","class DatasetBuildError(DatasetsError):\n","class IMapIterator(object):\n","class AsyncStreamFile(AbstractAsyncStreamedFile):\n","class DataFilesNotFoundError(FileNotFoundDatasetsError):\n","class CastError(ValueError):\n"," async def _ws_connect(\n","class NegativeInfinityType:\n","class DummyCookieJar(AbstractCookieJar):\n","class LazyBatch(LazyDict):\n","class _C:\n"," class CacheInfo(NamedTuple):\n","UpdatableLRU","class ChainMapProxy(Mapping[Union[str, AppKey[Any]], Any]):\n","class JsonPayload(BytesPayload):\n","class Identified:\n","from .tcp_helpers import tcp_nodelay\n","class bind(partial):\n","class PayloadRegistry:\n","class FormData:\n","class RebatchedArrowExamplesIterable(_BaseExamplesIterable):\n","mxOPAQUE_CLASS = 17 # This appears to be a function workspace\n","class HubDatasetModuleFactoryWithParquetExport(_DatasetModuleFactory):\n","class OpenFiles(list):\n","class FortranEOFError(TypeError, OSError):\n","class ArrowFormatter(TableFormatter[pa.Table, pa.Array, pa.Table]):\n","class BufferTooShort(ProcessError):\n","_configure_library_root_logger()\n"," library_root_logger.addHandler(logging.StreamHandler())\n","_configure_library_root_logger"," Handler.__init__(self)\n"," self.createLock()\n"," self.lock = threading.RLock()\n","createLock","ASCIISET: Final[Set[str]] = set(string.printable)\n"," _set_new_attribute(cls, \u0027__eq__\u0027,\n"," indices = topk_ids.view(-1).argsort()\n","class FSSpecCoroutineCancel(Exception):\n","class BackgroundBlockCache(BaseCache):\n","from .utils.sharding import _merge_gen_kwargs, _number_of_shards_in_gen_kwargs, _shuffle_gen_kwargs, _split_gen_kwargs\n","class MatVarReader:\n","from .abc import AbstractResolver, ResolveResult\n","class TimerNoop(BaseTimerContext):\n","class XzExtractor(MagicNumberBaseExtractor):\n","class Cache(datasets.ArrowBasedBuilder):\n","class BrotliDecompressor:\n","from .utils.py_utils import (\n","class Parquet(datasets.ArrowBasedBuilder):\n","class MatReadError(Exception):\n","class TakeExamplesIterable(_BaseExamplesIterable):\n","class Node:\n","REVERSE = {(\u0027b\u0027, 1): NC_BYTE,\n"," key = np.fromiter(key, np.int64)\n","_has_elasticsearch = importlib.util.find_spec(\"elasticsearch\") is not None\n","class HeadersParser:\n","class SearchResults(NamedTuple):\n"," pbar = tqdm(range(sum(len(block) for block in all_blocks)))\n"," files_to_ignore = set(FILES_TO_IGNORE) - {xbasename(pattern)}\n"," if is_local_path(a):\n","xbasename"," return urlparse(url_or_filename).scheme == \"\" or os.path.ismount(urlparse(url_or_filename).scheme + \":/\")\n","is_local_path"," splitresult = urlsplit(url, scheme, allow_fragments)\n","urlparse","/usr/lib/python3.12/urllib/parse.py","PAYLOAD_REGISTRY.register(StreamReaderPayload, StreamReader)\n"," self._normal_lookup[type] = factory\n","register","class DefaultContext(BaseContext):\n","class NotFoundErr(DOMException):\n","Audio"," end_idx = start_idx + num_tokens\n","from .helpers import CHAR, TOKEN, parse_mimetype, reify\n","0x3"],"unique_threads":[7,1984,2155,523,1711]};
 var data = null;
 var flamegraphData = null;
 var invertedNoImportsData = null;
 const merge_threads = true;
 const memory_records = 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