lib/tensor_stream/ops.rb
def gradients(tensor_ys, wrt_xs, name: "gradients", stop_gradients: nil)
      tensor_ys = tensor_ys.op
      gs = wrt_xs.map(&:op).collect { |x|
        stops = stop_gradients ? stop_gradients.map(&:name).join("_") : ""
        gradient_program_name = "grad_#{tensor_ys.name}_#{x.name}_#{stops}".to_sym
        tensor_graph = tensor_ys.graph

        tensor_program = if tensor_graph.node_added?(gradient_program_name)
          tensor_graph.get_node(gradient_program_name)
        else
          tensor_graph.name_scope("gradient_wrt_#{x.name}") do
            derivative_ops = TensorStream::MathGradients.derivative(tensor_ys, x, graph: tensor_graph,
                                                                                  stop_gradients: stop_gradients)
            tensor_graph.add_node!(gradient_program_name, derivative_ops)
          end
        end
        tensor_program
      }

      gs
    end
def gradients(tensor_ys, wrt_xs, name: "gradients", stop_gradients: nil)
      tensor_ys = tensor_ys.op
      gs = wrt_xs.map(&:op).collect { |x|
        stops = stop_gradients ? stop_gradients.map(&:name).join("_") : ""
        gradient_program_name = "grad_#{tensor_ys.name}_#{x.name}_#{stops}".to_sym
        tensor_graph = tensor_ys.graph

        tensor_program = if tensor_graph.node_added?(gradient_program_name)
          tensor_graph.get_node(gradient_program_name)
        else
          tensor_graph.name_scope("gradient_wrt_#{x.name}") do
            derivative_ops = TensorStream::MathGradients.derivative(tensor_ys, x, graph: tensor_graph,
                                                                                  stop_gradients: stop_gradients)
            tensor_graph.add_node!(gradient_program_name, derivative_ops)
          end
        end
        tensor_program
      }

      gs
    end
Constructs symbolic derivatives of ys of input w.r.t. x in wrt_xs.

 ys and xs are each a Tensor or a list of tensors. grad_ys is a list of Tensor, holding the gradients received by the ys. The list must be the same length as ys.

 Arguments:
 +tensor_ys+ : A Tensor or list of tensors to be differentiated.
 +wrt_xs+ : A Tensor or list of tensors to be used for differentiation.
 +stop_gradients+ :  Optional. A Tensor or list of tensors not to differentiate through