[PT] add macro to expose caffe2 ops to PyTorch mobile (#34578)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/34578
Right now C10_EXPORT_CAFFE2_OP_TO_C10_CPU didn't work on mobile since we disabled some code paths. This diff added a new macro to enable these code paths so we can register caffe2 ops in PT mobile.
Test Plan:
verified caffe2 ops are registered in PT mobile
(on the whole stack)
```
_caffe2::BBoxConcatBatchSplits(Tensor[] input_list, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor output)
_caffe2::BBoxTransform(Tensor rois, Tensor deltas, Tensor im_info, float[] weights, bool apply_scale, bool rotated, 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)
_caffe2::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)
_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)
_caffe2::HeatmapMaxKeypoint(Tensor heatmaps, Tensor bboxes_in, bool should_output_softmax=True, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor keypoints)
_caffe2::ResizeNearest(Tensor X, str order, float width_scale, float height_scale, Tensor[]? _caffe2_preallocated_outputs=None) -> (Tensor Y)
_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)
Reviewed By: dreiss
Differential Revision: D20128254
fbshipit-source-id: 49a837dddc431eb528b5c72ffdfe0d0131cd10b4
