docstr: Test conversion with 'valid' padding and no output padding
docstr_tok: ["Test","conversion","with","'valid","'","padding","and","no","output","padding"]
code: def test_valid_padding_without_output_padding(self):
      """Test conversion with 'valid' padding and no output padding"""
      (
          left_pad,
          right_pad,
      ) = _convert_conv_tranpose_padding_args_from_keras_to_jax(
          kernel_size=3,
          stride=2,
          dilation_rate=1,
          padding="valid",
          output_padding=None,
      )
      self.assertEqual(left_pad, 2)
      self.assertEqual(right_pad, 2)
  
imports: from keras.backend.common.backend_utils import _convert_conv_tranpose_padding_args_from_keras_to_jax
  from keras.backend.common.backend_utils import _convert_conv_tranpose_padding_args_from_keras_to_torch
  from keras.backend.common.backend_utils import _get_output_shape_given_tf_padding
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_jax
  from keras.backend.common.backend_utils import compute_conv_transpose_padding_args_for_torch
  from keras.testing import test_case
label_desc: Use image node_id 1 for calling the ConvertConvTransposePaddingArgsJAXTest obj's underlying member method code with example usage: obj.test_valid_padding_without_output_padding() without return types