o oi9@sddlmZddlmZddlmZmZmZmZm Z m Z ddl Z ddl m Z ddl mZddlmZddlmZmZddlmZdd lmZd d lmZmZmZmZd d lmZgd Z Gddde j!Z"Gddde"Z#Gddde#Z$GdddZ%dS)) OrderedDict) zip_longest)AnyDictIteratorListOptionalTupleN)nn)_AugmentationBase)ModuleTensor)Boxes) Keypoints)BoxSequentialOpsInputSequentialOpsKeypointSequentialOpsMaskSequentialOps ParamItem)BasicSequentialBaseImageSequentialBaseSequentialBasecseZdZdZdeddffdd Zdedefdd Zdd d Zd e j de e fd dZ dedeeeeffddZde e deeeeffddZdeeeefdee fddZZS)rzBasicSequential for creating kornia modulized processing pipeline. Args: *args : a list of kornia augmentation and image operation modules. argsreturnNcsdt}t|D]\}}t|tstd|d||jjd||iqt |d|_ dS)Nz.Only Module are supported at this moment. Got ._) r enumerate isinstancer NotImplementedErrorupdate __class____name__super__init___params)selfr_argsidxmodr"V/home/ubuntu/.local/lib/python3.10/site-packages/kornia/augmentation/container/base.pyr%-s   zBasicSequentialBase.__init__targetcCsrt|dkr|S|d}|}|D]%}t||s$t|d|dt||}t|ts6td|dq|S)aGet submodule. This code is taken from torch 1.9.0 since it is not introduced back to torch 1.7.1. We included this for maintaining more backward torch versions. Args: target: The fully-qualified string name of the submodule to look for. (See above example for how to specify a fully-qualified string.) Returns: Module: The submodule referenced by ``target`` Raises: AttributeError: If the target string references an invalid path or resolves to something that is not an ``Module`` rrz has no attribute ``z` is not an Module)lensplithasattrAttributeError _get_namegetattrrr )r'r.atomsr*itemr,r,r- get_submodule7s     z!BasicSequentialBase.get_submodulecCs d|_dS)z!Reset self._params state to None.N)r&r'r,r,r- clear_state]s zBasicSequentialBase.clear_state batch_shapecCtNr r'r;r,r,r-forward_parametersbz&BasicSequentialBase.forward_parametersindicesccs&t|}|D]}||Vq dSr=)listnamed_children)r'rBmodulesr)r,r,r-get_children_by_indiceses   z+BasicSequentialBase.get_children_by_indicesparamsccs>t|}|D]}|tt||jVq dSr=)rCrDdictkeysindexname)r'rGrEparamr,r,r-get_children_by_paramsjs  $z*BasicSequentialBase.get_children_by_params named_modulesccs |D] \}}t|dVqdSr=r)r'rNrKrr,r,r-get_params_by_moduleps z(BasicSequentialBase.get_params_by_modulerN)r# __module__ __qualname____doc__r r%strr8r:torchSizerrr@r rr rFrMrO __classcell__r,r,r+r-r%s &"*rc seZdZdZddddedeedeeddffdd Z   ddeed eedeeddfd d Ze deefd dZ e j deeddfddZ e deefddZ e j deeddfddZ dde deeefdeejejffddZZS)raSequentialBase for creating kornia modulized processing pipeline. Args: *args : a list of kornia augmentation and image operation modules. same_on_batch: apply the same transformation across the batch. If None, it will not overwrite the function-wise settings. return_transform: if ``True`` return the matrix describing the transformation applied to each. If None, it will not overwrite the function-wise settings. keepdim: whether to keep the output shape the same as input (True) or broadcast it to the batch form (False). If None, it will not overwrite the function-wise settings. N) same_on_batchkeepdimrrXrYrcs*tj|||_||_|j||ddSN)rY)r$r%_same_on_batch_keepdimupdate_attribute)r'rXrYrr+r,r-r%s zSequentialBase.__init__return_transformcCsV|D]$}t|ttjfr|dur||_|dur||_t|tr(||||qdSr=) childrenrr KMixAugmentationBaseV2rXrYrr])r'rXr^rYr*r,r,r-r]s  zSequentialBase.update_attributecC|jSr=)r[r9r,r,r-rXzSequentialBase.same_on_batchcC||_|j|ddS)N)rX)r[r])r'rXr,r,r-rXcCrbr=)r\r9r,r,r-rYrczSequentialBase.keepdimcCrdrZ)r\r])r'rYr,r,r-rYreinput dim_rangecCsr|j}t||dkst||dkrtd|d|dt|j|dkr4|d}t|j|dks'||jfS)zFill tensor dim to the upper bound of dim_range. If input tensor dim is smaller than the lower bound of dim_range, an error will be thrown out. rrzinput shape expected to be in z while got rN)shaper0 RuntimeError)r'rirj ori_shaper,r,r- autofill_dims  zSequentialBase.autofill_dim)NNN)rf)r#rQrRrSr rboolr%r]propertyrXsetterrYr r intrUrVrnrWr,r,r+r-rvs0.   4rc @speZdZdedefddZ   d%dedeeeded ee e e fdeef d d Z d e jdeefd dZd&deeedeee effddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefddZ d&dedeed ee e e fdefdd Z d'dedeeed ee e e fdefd!d"Z d'dedeeed ee e e fdefd#d$ZdS)(rrircCr<)zReturn identity matrix.r>)r'rir,r,r-identity_matrixz#ImageSequentialBase.identity_matrixNFrG recompute extra_argscCr<)aCompute the transformation matrix according to the provided parameters. Args: input: the input tensor. params: params for the sequence. recompute: if to recompute the transformation matrix according to the params. default: False. extra_args: Optional dictionary of extra arguments with specific options for different input types. r>)r'rirGrurvr,r,r-get_transformation_matrixsz-ImageSequentialBase.get_transformation_matrixr;cCr<r=r>r?r,r,r-r@rAz&ImageSequentialBase.forward_parameterscCr<)z$Get module sequence by input params.r>)r'rGr,r,r-get_forward_sequencertz(ImageSequentialBase.get_forward_sequencecC,|D]}||j}tj||||d}q|SNmodulerLrv)r8rKr transformr'rirGrvrLr|r,r,r-transform_inputs z$ImageSequentialBase.transform_inputscCLtt||ddd|dddD]\\}}}tj||||d}q|SNr{)rrCrxrinverser'rirGrvrr|rLr,r,r-inverse_inputs4z"ImageSequentialBase.inverse_inputscCryrz)r8rKrr}r~r,r,r-transform_masksrz#ImageSequentialBase.transform_maskscCrr)rrCrxrrrr,r,r- inverse_masksrz!ImageSequentialBase.inverse_maskscCryrz)r8rKrr}r~r,r,r-transform_boxesrz#ImageSequentialBase.transform_boxescCrr)rrCrxrrrr,r,r- inverse_boxesrz!ImageSequentialBase.inverse_boxescCryrz)r8rKrr}r~r,r,r-transform_keypointsrz'ImageSequentialBase.transform_keypointscCrr)rrCrxrrrr,r,r-inverse_keypoints rz%ImageSequentialBase.inverse_keypointscCs4|dur|jdur td|j}|j|||d}|S)zInverse transformation. Used to inverse a tensor according to the performed transformation by a forward pass, or with respect to provided parameters. NzrNo parameters available for inversing, please run a forward pass first or passing valid params into this function.)rv)r& ValueErrorr)r'rirGrvr,r,r-rs zImageSequentialBase.inversecCsJ||dur|}|j|dd\}}||}|j|||d}||_|S)Nrf)rj)rGrv)r:rnr@rr&)r'rirGrvinpr out_shaper,r,r-forward(s zImageSequentialBase.forward)NFNr=)NN) r#rQrRr rsrrrrorrTrrwrUrVr@rr r rxrrrrrrrrrrrrr,r,r,r-rs  (               rcseZdZUdZdZeedfed<dZe ed<dfd d Z d e ddfd d Z e de efddZdeddfddZdeddfddZde eddfddZdddZZS)TransformMatrixMinInz'Enables computation matrix computation.r,.$_valid_ops_for_transform_computationsilent_transformation_matrix_argrNcs"tj|i|d|_g|_dSr=)r$r%_transform_matrix_transform_matrices)r'rkwargsr+r,r-r%>s zTransformMatrixMinIn.__init__transformation_matrix_modecCs0hd}||vrtd|d|d||_dS)N>skiprigidrsilencez)`transformation_matrix` has to be one of z. Got r)rr)r'r!_valid_transformation_matrix_argsr,r,r-!_parse_transformation_matrix_modeCs z6TransformMatrixMinIn._parse_transformation_matrix_modecCsH|jdur!t|jdkr!|jd|_|jddD]}||q|jS)Nrr)rr0r_update_transform_matrix)r'matr,r,r-transform_matrixLs   z%TransformMatrixMinIn.transform_matrixr|cCst|r=r>r'r|r,r,r-%_update_transform_matrix_for_valid_opVsz:TransformMatrixMinIn._update_transform_matrix_for_valid_opcCsF|jdkrdSt||jr||dS|jdkr!td|ddS)NrrzNon-rigid module `z` is not supported under `rigid` computation mode. Please either update the module or change the `transformation_matrix` argument.)rrrrrlrr,r,r-"_update_transform_matrix_by_moduleYs    z7TransformMatrixMinIn._update_transform_matrix_by_modulercCs$|jdur ||_dS||j|_dSr=)r)r'rr,r,r-rds  z-TransformMatrixMinIn._update_transform_matrixcCsd|_g|_dSr=)rrr9r,r,r-_reset_transform_matrix_statejs z2TransformMatrixMinIn._reset_transform_matrix_staterP)r#rQrRrSrr r__annotations__rrTr%rrprr rr rrrrrWr,r,r+r-r8s     r)& collectionsr itertoolsrtypingrrrrrr rUr kornia.augmentation augmentationr`kornia.augmentation.baser kornia.corer r kornia.geometry.boxesrkornia.geometry.keypointsropsrrrrrGr__all__ Sequentialrrrrr,r,r,r-s"         QD~