docstr: Test computation with 'valid' padding and output padding.
docstr_tok: ["Test","computation","with","'valid","'","padding","and","output","padding","."]
code: def test_valid_padding_with_output_padding(self):
      """Test computation with 'valid' padding and output padding."""
      output_shape = _get_output_shape_given_tf_padding(
          input_size=5,
          kernel_size=3,
          strides=2,
          padding="valid",
          output_padding=1,
          dilation_rate=1,
      )
      self.assertEqual(output_shape, 12)
  
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 3 for calling the GetOutputShapeGivenTFPaddingTest obj's underlying member method code with example usage: obj.test_valid_padding_with_output_padding() without return types