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- < a href ='https://pytorch.org/docs/versions.html '> master (1.12.0a0+git9f541aa ) ▼</ a >
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@@ -872,14 +872,14 @@ <h1>Source code for torch._tensor</h1><div class="highlight"><pre>
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< span class ="s2 "> have forward mode AD gradients.</ span >
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< span class ="s2 "> """</ span > < span class ="p "> )</ span >
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- < 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 >
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+ < span class ="k "> def</ span > < span class ="nf "> is_shared</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
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< span class ="sa "> r</ span > < span class ="sd "> """Checks if tensor is in shared memory.</ span >
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< span class ="sd "> This is always ``True`` for CUDA tensors.</ span >
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< span class ="sd "> """</ span >
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< 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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< 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 >
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- < 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 >
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+ < 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 >
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< span class ="k "> def</ span > < span class ="nf "> share_memory_</ span > < span class ="p "> (</ span > < span class ="bp "> self</ span > < span class ="p "> ):</ span >
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< 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>
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< 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 >
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< 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 >
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- < 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 >
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+ < 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 >
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< span class ="sa "> r</ span > < span class ="sd "> """See :func:`torch.lu`"""</ span >
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< span class ="c1 "> # If get_infos is True, then we don't need to check for errors and vice versa</ span >
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< 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>
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< span class ="k "> if</ span > < span class ="n "> get_infos</ span > < span class ="p "> :</ span >
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< 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 >
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< span class ="k "> else</ span > < span class ="p "> :</ span >
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- < span class ="k "> return</ span > < span class ="n "> LU</ span > < span class ="p "> ,</ span > < span class ="n "> pivots</ span >
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+ < span class ="k "> return</ span > < span class ="n "> LU</ span > < span class ="p "> ,</ span > < span class ="n "> pivots</ span > </ div >
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< 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 >
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< 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>
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< 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 >
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< 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 >
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- < 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 >
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+ < 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 >
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< 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 >
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< 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 >
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< 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>
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< span class ="n "> return_complex</ span > < span class ="o "> =</ span > < span class ="n "> return_complex</ span >
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< span class ="p "> )</ span >
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< 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 >
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- < 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 >
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+ < 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 >
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< 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 >
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< 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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