code: def test_conv_bias_data_shard(self):
      conv = nn.Conv2d(3, 16, 3)
      for p in get_parameters(conv):
          p.shard_((d0, d1))
      fake_image = Tensor.rand((2, 3, 32, 32)).shard((d0, d1), axis=0)
      out = conv(fake_image)
      out.numpy()
  
imports: import functools
  import unittest
  from tinygrad import Tensor, Device, nn, GlobalCounters
  from tinygrad.device import _BufferCopy
  from tinygrad.helpers import CI
  from tinygrad.jit import TinyJit
  from tinygrad.nn.state import get_parameters
  import numpy
label_desc: Use image node_id 33 for calling the TestMultiTensor obj's underlying member method code with example usage: obj.test_conv_bias_data_shard() without return types