code: def test_padding_size_conv1d(self):
      input_channels = 1
      output_channels = 1
      kernel_sizes = [3, 7, 11]
      dilation_sizes = [2, 3, 4]
      stride = 1
      inp = torch.rand(2, 1, 40)
  
      for kernel_size in kernel_sizes:
          for dilation_size in dilation_sizes:
              padding = jasper.get_same_padding(
                  kernel_size, stride, dilation_size
              )
  
              conv = torch.nn.Conv1d(
                  input_channels,
                  output_channels,
                  kernel_size=kernel_size,
                  dilation=dilation_size,
                  padding=padding,
              )
  
              out = conv(inp)
              assert out.shape == inp.shape
  
imports: import pytest
  import torch
  from nemo.collections.asr.parts.submodules import jasper
label_desc: Use image node_id 16 for calling the TestJasperBlock obj's underlying member method code with example usage: obj.test_padding_size_conv1d() without return types