docstr: Tests that the generated text is the same, regarless of left padding
docstr_tok: ["Tests","that","the","generated","text","is","the","same",",","regarless","of","left","padding"]
code: def test_lm_generate_distilgpt2_left_padding(self):
      """Tests that the generated text is the same, regarless of left padding"""
      model = TFGPT2LMHeadModel.from_pretrained("distilgpt2")
      tokenizer = GPT2Tokenizer.from_pretrained("distilgpt2")
  
      tokenizer.pad_token = tokenizer.eos_token
      tokenizer.padding_side = "left"
  
      generation_kwargs = {
          "bad_words_ids": [
              tokenizer("is").input_ids,
              tokenizer("angry about").input_ids,
          ],
          "no_repeat_ngram_size": 2,
          "do_sample": False,
          "repetition_penalty": 1.3,
      }
      expected_output_string = "Today is a beautiful day and I am so happy to be able take part in this amazing event."
  
      sentences = ["Today is a beautiful day and"]
      input_ids = tokenizer(
          sentences, return_tensors="tf", padding=True
      )
      # using default length
      output_ids = model.generate(**input_ids, **generation_kwargs)
      output_strings = tokenizer.batch_decode(
          output_ids, skip_special_tokens=True
      )
      self.assertEqual(output_strings[0], expected_output_string)
  
      sentences = [
          "Today is a beautiful day and",
          "This is a very long input that we absolutely don't care about",
      ]
      input_ids = tokenizer(
          sentences, return_tensors="tf", padding=True
      )
      # longer max length to capture the full length (remember: it is left padded)
      output_ids = model.generate(
          **input_ids, **generation_kwargs, max_length=27
      )
      output_strings = tokenizer.batch_decode(
          output_ids, skip_special_tokens=True
      )
      self.assertEqual(output_strings[0], expected_output_string)
  
imports: from __future__ import annotations
  import unittest
  from transformers import GPT2Config, is_tf_available
  from transformers.testing_utils import require_tf, require_tf2onnx, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
  from ...utils.test_modeling_tf_core import TFCoreModelTesterMixin
label_desc: Use image node_id 4 for calling the TFGPT2ModelLanguageGenerationTest obj's underlying member method code with example usage: obj.test_lm_generate_distilgpt2_left_padding() without return types