rm occasional comment

src/client/sequential_autograd.py

@@ -223,11 +223,6 @@ class _RemoteSequentialAutogradFunction(torch.autograd.Function):
         grad_input_batches = RemoteExpertWorker.run_coroutine(
             _gather_backward(grad_output_batches, intermediate_input_batches, forward_sequences, ctx.sequence_manager)
         )
-        # grad_input_batches = [sequential_backward((grad_output,), input_batch, spans, ctx.sequence_manager)
-        #     for grad_output, input_batch, spans in zip(
-        #         grad_output_batches, intermediate_input_batches, forward_sequences
-        #     )
-        # ]
         grad_inputs = [grad_input_batch[0] for grad_input_batch in grad_input_batches]
         grad_inputs = torch.cat(grad_inputs, dim=0)
         return (grad_inputs, None)