o i7 @sddlmZddlmZmZmZmZmZddlZddl m Z ddl m Z m Z ddlmZddlmZddlmZdd lmZgd Z dd eeefd eeefd ee fddZ  ddeeefde deedeeeefddffddZ  ddejjded ee defddZdS) )Path)Dict GeneratorOptionalTupleUnionN)BaseCompressor)CompressionFormatSparsityCompressionConfig)get_weight_mappings) safe_open) save_file)Tensor)load_compressedsave_compressedsave_compressed_modeltensors save_pathcompression_formatcCs|dus t|dkrtd|ptjj}|tvs2|tvs2td|dtttt |}| |}t ||dS)a_ Save compressed tensors to disk. If tensors are not compressed, save them as is. :param tensors: dictionary of tensors to compress :param save_path: path to save compressed tensors :param compression_format: compression format used for the tensors :return: compression config, if tensors were compressed - None otherwise Nrz0No tensors or empty tensors provided to compresszUnknown compression format: z. Must be one of ) len ValueErrorr densevaluerregistered_namesregistered_aliasessetload_from_registrycompressr )rrr compressorcompressed_tensorsr Z/home/ubuntu/.local/lib/python3.10/site-packages/compressed_tensors/compressors/helpers.pyr"s     rcpurcompression_configdevicereturnc cs|dus t|std|dus|jtjjkrJt|}|D]%\}}t |d|d}| |}||fVWdn1sBwYq"dS|j}t j ||d} | j ||dEdHdS)a Load compressed tensors from disk. If tensors are not compressed, load them as is. :param compressed_tensors: path to compressed tensors. This can be a path to a file or a directory containing one or multiple safetensor files (if multiple - in the format assumed by huggingface) :param compression_config: compression config to use for decompressing tensors. :param device: device to move tensors to. If None, tensors are loaded on CPU. :param return_dict: if True, return a dictionary of decompressed tensors :return a generator that yields the name and tensor of the decompressed tensor Nz&No compressed tensors provided to loadpt) frameworkr$)config)r$)rexistsrformatr rrr itemsr get_tensorrr decompress) rr#r$weight_mappings weight_namefile_with_weight_namefweightrrr r r!rFs$  rTmodelfilenameforce_contiguousc Csd|}|rdd|D}z t|||dWdSty1}z t|}|d7}t|d}~ww)a Wrapper around safetensors `save_model` helper function, which allows for saving compressed model to disk. Note: The model is assumed to have a state_dict with unique entries :param model: model to save on disk :param filename: filename location to save the file :param compression_format: compression format used for the model :param force_contiguous: forcing the state_dict to be saved as contiguous tensors cSsi|] \}}||qSr ) contiguous).0kvr r r! sz)save_compressed_model..)rz_ Or use save_compressed_model(..., force_contiguous=True), read the docs for potential caveats.N) state_dictr+rrstr)r3r4rr5r;emsgr r r!rosr)N)Nr")NT)pathlibrtypingrrrrrtorchcompressed_tensors.compressorsrcompressed_tensors.configr r )compressed_tensors.utils.safetensors_loadr safetensorsr safetensors.torchr r__all__r<rrnnModuleboolrr r r r!sP          &  ,