code: def forward(ctx, cond, self, other):
      ctx.mark_non_differentiable(cond)
      ctx.save_for_backward(cond)
      return torch.ops.aten.where(cond, self, other)
  
imports: from functools import partial
  import torch
  from .binary import _apply_native_binary, NATIVE_BINARY_FNS, NATIVE_INPLACE_BINARY_FNS
  from .core import is_masked_tensor, MaskedTensor, _get_data, _masks_match, _maybe_get_mask
  from .passthrough import _apply_pass_through_fn, PASSTHROUGH_FNS
  from .reductions import _apply_reduction, NATIVE_REDUCE_FNS, TORCH_REDUCE_FNS, TENSOR_REDUCE_FNS
  from .unary import _apply_native_unary, NATIVE_UNARY_FNS, NATIVE_INPLACE_UNARY_FNS
label_desc: Use image node_id 1 for calling the _MaskedWhere obj's underlying member method code with example usage: obj.forward(ctx, cond, other) and returns: torch