1	# Parameter updates in a fixed FP32 order. The parameter's storage is reused.
2	import Base
3	import ./tensor.bend as Tensors
4	import ./tensor_f32.bend as F
5	
6	def Tensor() -> Type:
7	  Tensors.Tensor<F32>
8	
9	# parameter - gradient * rate, for a gradient of the parameter's shape.
10	def sgd(parameter: Tensor(),gradient: Tensor(),+rate: F32) -> Tensor():
11	  F.sub(parameter,F.mul_scalar(gradient,rate))