207207 < div class ="pytorch-left-menu-search ">
208208
209209 < div class ="version ">
210- < a href ='https://pytorch.org/docs/versions.html '> master (1.12.0a0+git9f541aa ) ▼</ a >
210+ < a href ='https://pytorch.org/docs/versions.html '> master (1.12.0a0+gitc2255c3 ) ▼</ a >
211211 </ div >
212212
213213
@@ -872,14 +872,14 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
872872< span class ="s2 "> have forward mode AD gradients.</ span >
873873< span class ="s2 "> """</ span > < span class ="p "> )</ span >
874874
875- < div class =" viewcode-block " id =" Tensor.is_shared " > < a class =" viewcode-back " href =" ../../generated/torch.Tensor.is_shared.html#torch.Tensor.is_shared " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> is_shared</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
875+ < span class ="k "> def</ span > < span class ="nf "> is_shared</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
876876 < span class ="sa "> r</ span > < span class ="sd "> """Checks if tensor is in shared memory.</ span >
877877
878878< span class ="sd "> This is always ``True`` for CUDA tensors.</ span >
879879< span class ="sd "> """</ span >
880880 < span class ="k "> if</ span > < span class ="n "> has_torch_function_unary</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
881881 < span class ="k "> return</ span > < span class ="n "> handle_torch_function</ span > < span class ="p "> (</ span > < span class ="n "> Tensor</ span > < span class ="o "> .</ span > < span class ="n "> is_shared</ span > < span class ="p "> ,</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,),</ span > < span class ="bp "> self</ span > < span class ="p "> )</ span >
882- < span class ="k "> return</ span > < span class ="bp "> self</ span > < span class ="o "> .</ span > < span class ="n "> storage</ span > < span class ="p "> ()</ span > < span class ="o "> .</ span > < span class ="n "> is_shared</ span > < span class ="p "> ()</ span > </ div >
882+ < span class ="k "> return</ span > < span class ="bp "> self</ span > < span class ="o "> .</ span > < span class ="n "> storage</ span > < span class ="p "> ()</ span > < span class ="o "> .</ span > < span class ="n "> is_shared</ span > < span class ="p "> ()</ span >
883883
884884 < span class ="k "> def</ span > < span class ="nf "> share_memory_</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
885885 < span class ="sa "> r</ span > < span class ="sd "> """Moves the underlying storage to shared memory.</ span >
@@ -907,7 +907,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
907907 < span class ="k "> return</ span > < span class ="n "> handle_torch_function</ span > < span class ="p "> (</ span > < span class ="n "> Tensor</ span > < span class ="o "> .</ span > < span class ="n "> norm</ span > < span class ="p "> ,</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,),</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> p</ span > < span class ="o "> =</ span > < span class ="n "> p</ span > < span class ="p "> ,</ span > < span class ="n "> dim</ span > < span class ="o "> =</ span > < span class ="n "> dim</ span > < span class ="p "> ,</ span > < span class ="n "> keepdim</ span > < span class ="o "> =</ span > < span class ="n "> keepdim</ span > < span class ="p "> ,</ span > < span class ="n "> dtype</ span > < span class ="o "> =</ span > < span class ="n "> dtype</ span > < span class ="p "> )</ span >
908908 < span class ="k "> return</ span > < span class ="n "> torch</ span > < span class ="o "> .</ span > < span class ="n "> norm</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> p</ span > < span class ="p "> ,</ span > < span class ="n "> dim</ span > < span class ="p "> ,</ span > < span class ="n "> keepdim</ span > < span class ="p "> ,</ span > < span class ="n "> dtype</ span > < span class ="o "> =</ span > < span class ="n "> dtype</ span > < span class ="p "> )</ span > </ div >
909909
910- < span class ="k "> def</ span > < span class ="nf "> lu</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> pivot</ span > < span class ="o "> =</ span > < span class ="kc "> True</ span > < span class ="p "> ,</ span > < span class ="n "> get_infos</ span > < span class ="o "> =</ span > < span class ="kc "> False</ span > < span class ="p "> ):</ span >
910+ < div class =" viewcode-block " id =" Tensor.lu " > < a class =" viewcode-back " href =" ../../generated/torch.Tensor.lu.html#torch.Tensor.lu " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> lu</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> pivot</ span > < span class ="o "> =</ span > < span class ="kc "> True</ span > < span class ="p "> ,</ span > < span class ="n "> get_infos</ span > < span class ="o "> =</ span > < span class ="kc "> False</ span > < span class ="p "> ):</ span >
911911 < span class ="sa "> r</ span > < span class ="sd "> """See :func:`torch.lu`"""</ span >
912912 < span class ="c1 "> # If get_infos is True, then we don't need to check for errors and vice versa</ span >
913913 < span class ="k "> if</ span > < span class ="n "> has_torch_function_unary</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
@@ -917,7 +917,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
917917 < span class ="k "> if</ span > < span class ="n "> get_infos</ span > < span class ="p "> :</ span >
918918 < span class ="k "> return</ span > < span class ="n "> LU</ span > < span class ="p "> ,</ span > < span class ="n "> pivots</ span > < span class ="p "> ,</ span > < span class ="n "> infos</ span >
919919 < span class ="k "> else</ span > < span class ="p "> :</ span >
920- < span class ="k "> return</ span > < span class ="n "> LU</ span > < span class ="p "> ,</ span > < span class ="n "> pivots</ span >
920+ < span class ="k "> return</ span > < span class ="n "> LU</ span > < span class ="p "> ,</ span > < span class ="n "> pivots</ span > </ div >
921921
922922 < span class ="k "> def</ span > < span class ="nf "> stft</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> n_fft</ span > < span class ="p "> :</ span > < span class ="nb "> int</ span > < span class ="p "> ,</ span > < span class ="n "> hop_length</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> int</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span >
923923 < span class ="n "> win_length</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> int</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span > < span class ="n "> window</ span > < span class ="p "> :</ span > < span class ="s1 "> 'Optional[Tensor]'</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span >
@@ -938,7 +938,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
938938 < span class ="k "> return</ span > < span class ="n "> torch</ span > < span class ="o "> .</ span > < span class ="n "> stft</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> n_fft</ span > < span class ="p "> ,</ span > < span class ="n "> hop_length</ span > < span class ="p "> ,</ span > < span class ="n "> win_length</ span > < span class ="p "> ,</ span > < span class ="n "> window</ span > < span class ="p "> ,</ span > < span class ="n "> center</ span > < span class ="p "> ,</ span >
939939 < span class ="n "> pad_mode</ span > < span class ="p "> ,</ span > < span class ="n "> normalized</ span > < span class ="p "> ,</ span > < span class ="n "> onesided</ span > < span class ="p "> ,</ span > < span class ="n "> return_complex</ span > < span class ="o "> =</ span > < span class ="n "> return_complex</ span > < span class ="p "> )</ span >
940940
941- < div class =" viewcode-block " id =" Tensor.istft " > < a class =" viewcode-back " href =" ../../generated/torch.Tensor.istft.html#torch.Tensor.istft " > [docs] </ a > < span class ="k "> def</ span > < span class ="nf "> istft</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> n_fft</ span > < span class ="p "> :</ span > < span class ="nb "> int</ span > < span class ="p "> ,</ span > < span class ="n "> hop_length</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> int</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span >
941+ < span class ="k "> def</ span > < span class ="nf "> istft</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> n_fft</ span > < span class ="p "> :</ span > < span class ="nb "> int</ span > < span class ="p "> ,</ span > < span class ="n "> hop_length</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> int</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span >
942942 < span class ="n "> win_length</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> int</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span > < span class ="n "> window</ span > < span class ="p "> :</ span > < span class ="s1 "> 'Optional[Tensor]'</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span >
943943 < span class ="n "> center</ span > < span class ="p "> :</ span > < span class ="nb "> bool</ span > < span class ="o "> =</ span > < span class ="kc "> True</ span > < span class ="p "> ,</ span > < span class ="n "> normalized</ span > < span class ="p "> :</ span > < span class ="nb "> bool</ span > < span class ="o "> =</ span > < span class ="kc "> False</ span > < span class ="p "> ,</ span >
944944 < span class ="n "> onesided</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> bool</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span > < span class ="n "> length</ span > < span class ="p "> :</ span > < span class ="n "> Optional</ span > < span class ="p "> [</ span > < span class ="nb "> int</ span > < span class ="p "> ]</ span > < span class ="o "> =</ span > < span class ="kc "> None</ span > < span class ="p "> ,</ span >
@@ -951,7 +951,7 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
951951 < span class ="n "> return_complex</ span > < span class ="o "> =</ span > < span class ="n "> return_complex</ span >
952952 < span class ="p "> )</ span >
953953 < span class ="k "> return</ span > < span class ="n "> torch</ span > < span class ="o "> .</ span > < span class ="n "> istft</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="n "> n_fft</ span > < span class ="p "> ,</ span > < span class ="n "> hop_length</ span > < span class ="p "> ,</ span > < span class ="n "> win_length</ span > < span class ="p "> ,</ span > < span class ="n "> window</ span > < span class ="p "> ,</ span > < span class ="n "> center</ span > < span class ="p "> ,</ span >
954- < span class ="n "> normalized</ span > < span class ="p "> ,</ span > < span class ="n "> onesided</ span > < span class ="p "> ,</ span > < span class ="n "> length</ span > < span class ="p "> ,</ span > < span class ="n "> return_complex</ span > < span class ="o "> =</ span > < span class ="n "> return_complex</ span > < span class ="p "> )</ span > </ div >
954+ < span class ="n "> normalized</ span > < span class ="p "> ,</ span > < span class ="n "> onesided</ span > < span class ="p "> ,</ span > < span class ="n "> length</ span > < span class ="p "> ,</ span > < span class ="n "> return_complex</ span > < span class ="o "> =</ span > < span class ="n "> return_complex</ span > < span class ="p "> )</ span >
955955
956956 < span class ="k "> def</ span > < span class ="nf "> resize</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ,</ span > < span class ="o "> *</ span > < span class ="n "> sizes</ span > < span class ="p "> ):</ span >
957957 < span class ="k "> if</ span > < span class ="n "> has_torch_function_unary</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
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