Ports real and imag fixes to 1.5 release branch

[mruberry]

Ports #35560 to the 1.5 release branch.

[dr-ci]

💊 CircleCI build failures summary and remediations

As of commit 093edcc (more details on the Dr. CI page):

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• 1/1 failures introduced in this PR

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🕵️ 1 new failure recognized by patterns

The following build failures do not appear to be due to upstream breakages:

pytorch_linux_backward_compatibility_check_test (1/1)

Step: "Test" (full log | pattern match details)

Mar 30 07:04:53 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.

Mar 30 07:04:53 processing existing schema:  aten::sparse_coo_tensor.size(int[] size, *, int dtype, int layout, Device device, bool pin_memory=False) -> (Tensor) 
Mar 30 07:04:53 processing existing schema:  aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor) 
Mar 30 07:04:53 processing existing schema:  aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, int? dtype=None, int? layout=None, Device? device=None, bool? pin_memory=None) -> (Tensor) 
Mar 30 07:04:53 processing existing schema:  aten::split_with_sizes(Tensor self, int[] split_sizes, int dim=0) -> (Tensor[]) 
Mar 30 07:04:53 processing existing schema:  aten::squeeze(Tensor(a) self) -> (Tensor(a)) 
Mar 30 07:04:53 processing existing schema:  aten::squeeze.dim(Tensor(a) self, int dim) -> (Tensor(a)) 
Mar 30 07:04:53 processing existing schema:  aten::stft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool normalized=False, bool onesided=True) -> (Tensor) 
Mar 30 07:04:53 skipping schema:  aten::sub_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> (Tensor(a!)) 
Mar 30 07:04:53 skipping schema:  aten::sub_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> (Tensor(a!)) 
Mar 30 07:04:53 processing existing schema:  aten::t(Tensor(a) self) -> (Tensor(a)) 
Mar 30 07:04:53 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.  
Mar 30 07:04:53  
Mar 30 07:04:53 Broken ops: [ 
Mar 30 07:04:53 	aten::owner(RRef(t) self) -> (__torch__.torch.classes.dist_rpc.WorkerInfo) 
Mar 30 07:04:53 	aten::local_value(RRef(t) self) -> (t) 
Mar 30 07:04:53 	prim::id(AnyClassType? x) -> (int) 
Mar 30 07:04:53 	__caffe2::RoIAlignRotated(Tensor features, Tensor rois, str order, float spatial_scale, int pooled_h, int pooled_w, int sampling_ratio, bool aligned, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor) 
Mar 30 07:04:53 	__caffe2::RoIAlign(Tensor features, Tensor rois, str order, float spatial_scale, int pooled_h, int pooled_w, int sampling_ratio, bool aligned, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor) 
Mar 30 07:04:53 	__caffe2::HeatmapMaxKeypoint(Tensor heatmaps, Tensor bboxes_in, bool should_output_softmax=True, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor keypoints) 
Mar 30 07:04:53 	__caffe2::GenerateProposals(Tensor scores, Tensor bbox_deltas, Tensor im_info, Tensor anchors, float spatial_scale, int pre_nms_topN, int post_nms_topN, float nms_thresh, float min_size, bool angle_bound_on, int angle_bound_lo, int angle_bound_hi, float clip_angle_thresh, bool legacy_plus_one, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor output_0, Tensor output_1) 
:BoxWithNMSLimit(Tensor scores, Tensor boxes, Tensor batch_splits, float score_thresh, float nms, int detections_per_im, bool soft_nms_enabled, str soft_nms_method, float soft_nms_sigma, float soft_nms_min_score_thres, bool rotated, bool cls_agnostic_bbox_reg, bool input_boxes_include_bg_cls, bool output_classes_include_bg_cls, bool legacy_plus_one, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor scores, Tensor boxes, Tensor classes, Tensor batch_splits, Tensor keeps, Tensor keeps_size) 

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