o iW@sddlZddlZddlmZddlmZmZddlmZm Z e Z e Z edZ eGdddZeGdd d ZeGd d d ZdS) N) defaultdict) dataclassfield)LiteralOptional) F64F32F16BF16I64I32I16I8U8BOOLc@sReZdZUdZeed<eeed<eeefed<e ddZ eed<d d d Z d S) TensorInfoa<Information about a tensor. For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. Attributes: dtype (`str`): The data type of the tensor ("F64", "F32", "F16", "BF16", "I64", "I32", "I16", "I8", "U8", "BOOL"). shape (`list[int]`): The shape of the tensor. data_offsets (`tuple[int, int]`): The offsets of the data in the file as a tuple `[BEGIN, END]`. parameter_count (`int`): The number of parameters in the tensor. dtypeshape data_offsetsFinitparameter_countreturnNcCs4z ttj|j|_WdStyd|_YdSw)N) functoolsreduceoperatormulrr TypeError)selfr h/var/www/html/karishye-ai-python/venv/lib/python3.10/site-packages/huggingface_hub/utils/_safetensors.py __post_init__#s   zTensorInfo.__post_init__rN) __name__ __module__ __qualname____doc__DTYPE_T__annotations__listinttuplerrr"r r r r!r s  rc@sVeZdZUdZeeefed<eeefed<e ddZ ee e fed<d d d Z dS) SafetensorsFileMetadataaMetadata for a Safetensors file hosted on the Hub. This class is returned by [`parse_safetensors_file_metadata`]. For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. Attributes: metadata (`dict`): The metadata contained in the file. tensors (`dict[str, TensorInfo]`): A map of all tensors. Keys are tensor names and values are information about the corresponding tensor, as a [`TensorInfo`] object. parameter_count (`dict[str, int]`): A map of the number of parameters per data type. Keys are data types and values are the number of parameters of that data type. metadatatensorsFrrrNcCs:tt}|jD] }||j|j7<q t||_dSN)rr+r/valuesrrdict)rrtensorr r r!r"Bsz%SafetensorsFileMetadata.__post_init__r#)r$r%r&r'r2strr) TENSOR_NAME_Trrrr(r+r"r r r r!r-+s r-c@sjeZdZUdZeeed<eed<eee fed<ee e fed<e ddZ ee efed<d d d Zd S)SafetensorsRepoMetadataa Metadata for a Safetensors repo. A repo is considered to be a Safetensors repo if it contains either a 'model.safetensors' weight file (non-shared model) or a 'model.safetensors.index.json' index file (sharded model) at its root. This class is returned by [`get_safetensors_metadata`]. For more details regarding the safetensors format, check out https://huggingface.co/docs/safetensors/index#format. Attributes: metadata (`dict`, *optional*): The metadata contained in the 'model.safetensors.index.json' file, if it exists. Only populated for sharded models. sharded (`bool`): Whether the repo contains a sharded model or not. weight_map (`dict[str, str]`): A map of all weights. Keys are tensor names and values are filenames of the files containing the tensors. files_metadata (`dict[str, SafetensorsFileMetadata]`): A map of all files metadata. Keys are filenames and values are the metadata of the corresponding file, as a [`SafetensorsFileMetadata`] object. parameter_count (`dict[str, int]`): A map of the number of parameters per data type. Keys are data types and values are the number of parameters of that data type. r.sharded weight_mapfiles_metadataFrrrNcCsJtt}|jD]}|jD] \}}|||7<qq t||_dSr0)rr+r9r1ritemsr2)rr file_metadatarnb_parameters_r r r!r"js z%SafetensorsRepoMetadata.__post_init__r#)r$r%r&r'rr2r)boolr5 FILENAME_Tr-rrr(r+r"r r r r!r6Is  r6)rr collectionsr dataclassesrrtypingrrr4r>r5r(rr-r6r r r r!s