code: def torch_cat(tensors, dim=None, axis=None, *, out=None):
      if dim is None and axis is None:
          dim = 0
      if dim is None and axis is not None:
          dim = axis
      if dim < 0:
          dim = tensors[0].dim() + dim
      shapes = [t.shape for t in tensors]
      shape = list(shapes[0])
      concatenated_dim = sum(shape[dim] for shape in shapes)
      final_shape = shape[:dim] + [concatenated_dim] + shape[dim + 1 :]
      return torch.empty(final_shape, device="meta")
  
file_path: colossalai/colossalai/fx/tracer/meta_patch/patched_function/torch_ops.py
imports: import torch
  from ...registry import meta_patched_function
label_desc: Use image node_id 11 for calling a global function with example usage: torch_cat(tensors, dim, axis) and returns: torch