code: def __init__(self, tensor):
      self.x = tensor(x_init.copy(), requires_grad=True)
      self.W = tensor(W_init.copy(), requires_grad=True)
      self.m = tensor(m_init.copy())
  
imports: import numpy
  import torch
  import unittest
  from tinygrad import Tensor, Device
  from tinygrad.nn.optim import Adam, SGD, AdamW
  from tinygrad.helpers import CI
label_desc: Use image node_id 1 to create a new TinyNet object  with example: obj = TinyNet(tensor)