Function SoftNMSShapeFn

tensorflow/core/ops/image_ops.cc:134–158

}

Status SoftNMSShapeFn(InferenceContext* c) {
  // Get inputs and validate ranks.
  ShapeHandle boxes;
  TF_RETURN_IF_ERROR(c->WithRank(c->input(0), 2, &boxes));
  ShapeHandle scores;
  TF_RETURN_IF_ERROR(c->WithRank(c->input(1), 1, &scores));
  ShapeHandle max_output_size;
  TF_RETURN_IF_ERROR(c->WithRank(c->input(2), 0, &max_output_size));
  ShapeHandle iou_threshold;
  TF_RETURN_IF_ERROR(c->WithRank(c->input(3), 0, &iou_threshold));
  ShapeHandle score_threshold;
  TF_RETURN_IF_ERROR(c->WithRank(c->input(4), 0, &score_threshold));
  ShapeHandle soft_nms_sigma;
  TF_RETURN_IF_ERROR(c->WithRank(c->input(5), 0, &soft_nms_sigma));
  // The boxes is a 2-D float Tensor of shape [num_boxes, 4].
  DimensionHandle unused;
  // The boxes[0] and scores[0] are both num_boxes.
  TF_RETURN_IF_ERROR(c->Merge(c->Dim(boxes, 0), c->Dim(scores, 0), &unused));
  // The boxes[1] is 4.
  TF_RETURN_IF_ERROR(c->WithValue(c->Dim(boxes, 1), 4, &unused));

  c->set_output(0, c->Vector(c->UnknownDim()));
  c->set_output(1, c->Vector(c->UnknownDim()));
  return Status::OK();
}

Status CombinedNMSShapeFn(InferenceContext* c) {
  // Get inputs and validate ranks