o oi_5 @sddlZddlZddlZddlZddlmZmZmZddl m Z ddl m Z m Z ddlmZmZmZmZmZmZmZmZmZmZmZddlZddlmZddlmZddlm Z d e!fd d Z"d ed e!fd dZ#dFde$d ej%fddZ&d ej%fddZ'd ej%fddZ(edede)d efddZ*ede)d e)fddZ*dee)efdeded ee)effddZ* dGdee)dee)d ee)d efd!d"Z+d#eeed eej%ej,ffd$d%Z-d&ed efd'd(Z.d&ed)e$d*ee/e!fd+ee/e!fd ef d,d-Z0d&ed eeeeffd.d/Z1d&ed efd0d1Z2d2ed3ed efd4d5Z3d3ed2ed eeeeffd6d7Z4d2ed eeeffd8d9Z5dHd;e!d e!fded efd?d@Z7edAZ8dBee)efdCee8d e8fdDdEZ9dS)IN)asdictfields is_dataclass)wraps)isclass isfunction) TYPE_CHECKINGAnyCallableDictListOptionalTupleTypeTypeVarUnionoverload)inv_ex)Tensor)torch_version_gereturncCstjddur dSdS)z6Return whether `torch_xla` is available in the system. torch_xlaNTF) importlibutil find_specrrH/home/ubuntu/.local/lib/python3.10/site-packages/kornia/utils/helpers.pyxla_is_available"srxcCsdt|jvS)z'Return whether tensor is on MPS device.mps)strdevice)rrrris_mps_tensor_safe)sr"indexcCs$tjr td|StdS)zTry to get cuda device, if fail, return cpu. Args: index: cuda device index Returns: torch.device zcuda:cpu)torchcuda is_availabler!)r#rrrget_cuda_device_if_available.s  r(cCs*d}ttjdrtjjrd}t|S)zTTry to get mps device, if fail, return cpu. Returns: torch.device r$r)hasattrr%backendsrr'r!)devrrrget_mps_device_if_available>s    r,cCs"tjdkrtdkrtStS)zCheck OS and platform and run get_cuda_device_if_available or get_mps_device_if_available. Returns: torch.device darwinarm64)sysplatformmachiner,r(rrrr#get_cuda_or_mps_device_if_availableLsr2storagelocationcCdSNr)r3r4rrrmap_location_to_cpuYr7cCr5r6r)r3rrrr7]r8argskwargscOs|S)z@Map location of device to CPU, util for loading things from HUB.r)r3r9r:rrrr7as replace_withversion extra_reasoncs&dtdtfdtffdd }|S)zMark methods as deprecated.func.rcs,tdtdtdtffdd }|S)Nr9r:rcsd}dur ddnd}trjj}trj}tdtdur;tj|d|ddtdd ntj|d|d tdd td t|i|S) Nz Since kornia z the always`z` is deprecated in favor of `z`.)category stacklevelz;` is deprecated and will be removed in the future versions.default)r __class____name__rwarnings simplefilterDeprecationWarningwarn)r9r:name beginning)r=r>r;r<rrwrapperls(  z0deprecated.._deprecated..wrapper)rr )r>rNr=r;r<)r>r _deprecatedks"zdeprecated.._deprecated)r r )r;r<r=rPrrOr deprecatedfs"rQ tensor_listc Csd\}}|D]9}|dur?t|tfsq|j}|j}|dur&|dur&|}|}q||ks.||kr?td|d|d|d|d q|durItd}|durQt}||fS)zCheck if all the input are in the same device (only if when they are Tensor). If so, it would return a tuple of (device, dtype). Default: (cpu, ``get_default_dtype()``). Returns: [torch.device, torch.dtype] )NNNz8Passed values are not in the same device and dtype.Got (z, z) and (z).r$) isinstancerr!dtype ValueErrorr%get_default_dtype)rRr!rTtensor_device_dtyperrr_extract_device_dtypes8   rZinputcCsTt|tstdt|d|j}|tjtjfvrtj}tj | | |jS)aMake torch.inverse work with other than fp32/64. The function torch.inverse is only implemented for fp32/64 which makes impossible to be used by fp16 or others. What this function does, is cast input data type to fp32, apply torch.inverse, and cast back to the input dtype. Input must be Tensor. Got: .) rSrAssertionErrortyperTr%float32float64linalginvto)r[rTrrr_torch_inverse_casts rebinsminmaxcCsXt|tstdt|d|j}|tjtjfvrtj}t| |||| |jS)aMake torch.histc work with other than fp32/64. The function torch.histc is only implemented for fp32/64 which makes impossible to be used by fp16 or others. What this function does, is cast input data type to fp32, apply torch.inverse, and cast back to the input dtype. r\r]) rSrr^r_rTr%r`rahistcrd)r[rfrgrhrTrrr_torch_histc_casts rjcCst|j}|tjtjfvrtj}tj||\}}}tddr#|j}n| dd}||j||j||jfS)aiMake torch.svd work with other than fp32/64. The function torch.svd is only implemented for fp32/64 which makes impossible to be used by fp16 or others. What this function does, is cast input data type to fp32, apply torch.svd, and cast back to the input dtype. NOTE: in torch 1.8.1 this function is recommended to use as torch.linalg.svd  ) rTr%r`rarbsvdrdrmH transpose)r[rTout1out2out3Hout3rrr_torch_svd_casts   "rvcCst|tstdt|d|j}|tjtjfvrtj}tr nt ddr/tj | |}n tj | |\}}}| |jS)atMake torch.linalg.svdvals work with other than fp32/64. The function torch.svd is only implemented for fp32/64 which makes impossible to be used by fp16 or others. What this function does, is cast input data type to fp32, apply torch.svd, and cast back to the input dtype. NOTE: in torch 1.8.1 this function is recommended to use as torch.linalg.svd r\r]rk )rSrr^r_rTr%r`rarrrbsvdvalsrdro)r[rTout_rrr_torch_linalg_svdvalss   r{ABcCs<t|rtj}ntj}tj||||}||jS)zMake torch.solve work with other than fp32/64. For stable operation, the input matrices should be cast to fp64, and the output will be cast back to the input dtype. However, fp64 is not yet supported on MPS. )r"r%r`rarbsolverdrT)r|r}rTryrrr_torch_solve_casts  rc CsJtdds!t||}tjdtdd||tjt|tj|j dfSt |t s0t dt |d|j}|tjtjfvr>tj}trAn tddrStj||\}}}ntj||d d d \}}}|d k}t|j}t|j} | |dkrz|d }tr}ntddrtj||||} n t||||} | |j||j|fS) zSolves the system of equations. Avoids crashing because of singular matrix input and outputs the mask of valid solution. rkrwz>PyTorch version < 1.10, solve validness mask maybe not correct)rD)rTr!zB must be Tensor. Got: r] T) get_infosrrm)rrrHrKRuntimeWarningr%oneslenboolr!rSrr^r_rTr`rarrb lu_factor_exrdlushape unsqueezelu_solve) r}r|solrTA_LUpivotsinfo valid_maskn_dim_Bn_dim_AXrrrsafe_solve_with_mask s.         rcCsht|tstdt|d|j}|tjtjfvrtj}n|}t| |\}}|dk}| ||fS)zyPerform inverse. Avoids crashing because of non-invertable matrix input and outputs the mask of valid solution. zA must be Tensor. Got: r]r) rSrr^r_rTr%r`rarrd)r|dtype_originalrTinversermaskrrrsafe_inverse_with_mask6s rTbothcCsPtrdStddds dS|r$tddrtptdStp#tStS)aCheck if torch autocast is enabled. Args: both: if True will consider autocast region for both types of devices Returns: Return a Bool, will always return False for a torch without support, otherwise will be: if both is True `torch.is_autocast_enabled() or torch.is_autocast_enabled('cpu')`. If both is False will return just `torch.is_autocast_enabled()`. FrkrwrBr$)rrr%is_autocast_enabledis_autocast_cpu_enabled)rrrrrIs   robjcCslt|rt|tsddt|DSt|ttfr&t|dd|DSt|tr4dd|DS|S)z8Recursively convert dataclass instances to dictionaries.cSi|] \}}|t|qSrdataclass_to_dict.0keyvaluerrr iz%dataclass_to_dict..css|]}t|VqdSr6r)ritemrrr ksz$dataclass_to_dict..cSrrrrrrrrmr)rrSr_ritemslisttupledict)rrrrrfs rTdict_objdataclass_typecCst|ts tdt|stdddt|D}i}|D]\}}||vr8t||r8t|||||<q |||<q |di|S)z8Recursively convert dictionaries to dataclass instances.zInput conf must be dictz"dataclass_type must be a dataclasscSsi|]}|j|jqSr)rLr_)rfrrrr{sz%dict_to_dataclass..Nr)rSr TypeErrorrrrdict_to_dataclass)rr field_typesconstructor_argsrrrrrrus  r)r)NNN)T):importlib.utilrr0r/rH dataclassesrrr functoolsrinspectrrtypingrr r r r r rrrrrr% torch.linalgr kornia.corerkornia.utils._compatrrrr"intr!r(r,r2r r7rQrTrZrefloatrjrvr{rrrrrrrrrrrsX 4    * &$ . - &