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ci/transformers: add baseline checks for test cases
Signed-off-by: Dmitry Rogozhkin <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,266 @@ | ||
| import argparse | ||
| import sys | ||
|
|
||
| from junitparser import JUnitXml, Error, Failure, Skipped | ||
|
|
||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('junitxml', nargs='+') | ||
| args = parser.parse_args() | ||
|
|
||
| failing_cases = { | ||
| 'tests.models.dpt.test_modeling_dpt_auto_backbone.DPTModelTest': { | ||
| 'test_batching_equivalence': { 'flicky': True }, | ||
| }, | ||
| 'tests.benchmark.test_benchmark.BenchmarkTest': { | ||
| 'test_inference_encoder_decoder_with_configs': None, | ||
| 'test_inference_fp16': None, | ||
| 'test_inference_no_configs': None, | ||
| 'test_inference_no_configs_only_pretrain': None, | ||
| 'test_inference_no_model_no_architectures': None, | ||
| 'test_inference_torchscript': None, | ||
| 'test_inference_with_configs': None, | ||
| 'test_save_csv_files': None, | ||
| 'test_trace_memory': None, | ||
| 'test_train_encoder_decoder_with_configs': None, | ||
| 'test_train_no_configs': None, | ||
| 'test_train_no_configs_fp16': None, | ||
| 'test_train_with_configs': None, | ||
| }, | ||
| 'tests.generation.test_logits_process.LogitsProcessorTest': { | ||
| 'test_watermarking_processor': None, | ||
| }, | ||
| 'tests.generation.test_utils.GenerationIntegrationTests': { | ||
| 'test_assisted_decoding_encoder_decoder_shared_encoder': None, | ||
| 'test_assisted_decoding_num_assistant_tokens_heuristic_schedule': None, | ||
| 'test_assisted_generation_early_exit': None, | ||
| 'test_custom_logits_processor': None, | ||
| 'test_default_max_length_warning': None, | ||
| 'test_eos_token_id_int_and_list_beam_search': None, | ||
| 'test_eos_token_id_int_and_list_top_k_top_sampling': None, | ||
| 'test_generate_compile_fullgraph_tiny': None, | ||
| 'test_generated_length_assisted_generation': None, | ||
| 'test_max_new_tokens_encoder_decoder': None, | ||
| 'test_min_length_if_input_embeds': None, | ||
| 'test_model_kwarg_assisted_decoding_decoder_only': None, | ||
| 'test_model_kwarg_assisted_decoding_encoder_decoder': None, | ||
| 'test_model_kwarg_encoder_signature_filtering': None, | ||
| 'test_prepare_inputs_for_generation_decoder_llm': None, | ||
| 'test_stop_sequence_stopping_criteria': None, | ||
| }, | ||
| 'tests.models.fuyu.test_modeling_fuyu.FuyuModelTest': { | ||
| 'test_prompt_lookup_decoding_matches_greedy_search': None, | ||
| }, | ||
| 'tests.models.git.test_modeling_git.GitModelTest': { | ||
| 'test_generate_continue_from_past_key_values': None, | ||
| 'test_inputs_embeds_matches_input_ids': None, | ||
| }, | ||
| 'tests.models.hiera.test_modeling_hiera.HieraModelTest': { | ||
| 'test_torch_fx': None, | ||
| 'test_torch_fx_output_loss': None, | ||
| }, | ||
| 'tests.models.mamba.test_modeling_mamba.MambaIntegrationTests': { | ||
| 'test_simple_generate_1_cpu': None, | ||
| }, | ||
| 'tests.models.pix2struct.test_modeling_pix2struct.Pix2StructModelTest': { | ||
| 'test_new_cache_format_0': None, | ||
| 'test_new_cache_format_1': None, | ||
| 'test_new_cache_format_2': None, | ||
| }, | ||
| 'tests.models.speecht5.test_modeling_speecht5.SpeechT5ForTextToSpeechIntegrationTests': { | ||
| 'test_batch_generation': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_automatic_speech_recognition.AutomaticSpeechRecognitionPipelineTests': { | ||
| 'test_small_model_pt_seq2seq': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_common.CustomPipelineTest': { | ||
| 'test_custom_code_with_string_tokenizer': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_depth_estimation.DepthEstimationPipelineTests': { | ||
| 'test_multiprocess': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_image_to_text.ImageToTextPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_summarization.SummarizationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_text_generation.TextGenerationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| 'test_stop_sequence_stopping_criteria': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_video_classification.VideoClassificationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_visual_question_answering.VisualQuestionAnsweringPipelineTests': { | ||
| 'test_small_model_pt_blip2': None, | ||
| }, | ||
| 'tests.pipelines.test_pipelines_zero_shot_image_classification.ZeroShotImageClassificationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| 'test_small_model_pt_fp16': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.AutomaticSpeechRecognitionPipelineTests': { | ||
| 'test_small_model_pt_seq2seq': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.DepthEstimationPipelineTests': { | ||
| 'test_multiprocess': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.ImageToTextPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.SummarizationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.TextGenerationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| 'test_stop_sequence_stopping_criteria': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.VideoClassificationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.VisualQuestionAnsweringPipelineTests': { | ||
| 'test_small_model_pt_blip2': None, | ||
| }, | ||
| 'tests.test_pipeline_mixin.ZeroShotImageClassificationPipelineTests': { | ||
| 'test_small_model_pt': None, | ||
| 'test_small_model_pt_fp16': None, | ||
| }, | ||
| } | ||
|
|
||
| new_failures = [] | ||
| known_failures = [] | ||
| new_passes = [] | ||
| flickies = [] | ||
| skipped_flickies = [] | ||
|
|
||
| def get_classname(case): | ||
| return ' '.join(case.classname.split()) | ||
|
|
||
| def get_name(case): | ||
| return ' '.join(case.name.split()) | ||
|
|
||
| def get_result(case): | ||
| result = "passed" | ||
| if case.result: | ||
| if isinstance(case.result[0], Error): | ||
| result = "error" | ||
| elif isinstance(case.result[0], Skipped): | ||
| result = "skipped" | ||
| elif isinstance(case.result[0], Failure): | ||
| result = "failed" | ||
| return result | ||
|
|
||
| def get_message(case): | ||
| if not case.result: | ||
| return "" | ||
| return f"{case.result[0].message.splitlines()[0]}" | ||
|
|
||
| def is_known_failure(classname, name): | ||
| if classname in failing_cases and name in failing_cases[classname]: | ||
| return True | ||
| return False | ||
|
|
||
| def is_flicky(classname, name): | ||
| if classname in failing_cases and name in failing_cases[classname]: | ||
| _case = failing_cases[classname][name] | ||
| if _case is None: | ||
| return False | ||
| return True if 'flicky' in _case and _case['flicky'] else False | ||
| return False | ||
|
|
||
| xmls = [ JUnitXml.fromfile(f) for f in args.junitxml ] | ||
| for idx, xml in enumerate(xmls): | ||
| for suite in xml: | ||
| for case in suite: | ||
| classname = get_classname(case) | ||
| name = get_name(case) | ||
| result = get_result(case) | ||
| flicky = is_flicky(classname, name) | ||
| if flicky: | ||
| if result == "skipped": | ||
| skipped_flickies.append(case) | ||
| else: | ||
| flickies.append(case) | ||
| else: | ||
| if result not in ["passed", "skipped"]: | ||
| if is_known_failure(classname, name): | ||
| known_failures.append(case) | ||
| else: | ||
| new_failures.append(case) | ||
| else: | ||
| if is_known_failure(classname, name): | ||
| new_passes.append(case) | ||
|
|
||
| def print_md_row(row, print_header): | ||
| if print_header: | ||
| header = " | ".join([f"{key}" for key, _ in row.items()]) | ||
| print(f"| {header} |") | ||
| header = " | ".join(["-"*len(key) for key, _ in row.items()]) | ||
| print(f"| {header} |") | ||
| row = " | ".join([f"{value}" for _, value in row.items()]) | ||
| print(f"| {row} |") | ||
|
|
||
| def print_cases(cases): | ||
| print_header = True | ||
| for case in cases: | ||
| classname = get_classname(case) | ||
| name = get_name(case) | ||
| result = get_result(case) | ||
| message = get_message(case) | ||
| row = { | ||
| 'Class name': classname, | ||
| 'Test name': name, | ||
| 'Status': result, | ||
| 'Message': message, | ||
| } | ||
| print_md_row(row, print_header) | ||
| print_header = False | ||
|
|
||
| printed = False | ||
| def print_break(needed): | ||
| if needed: | ||
| print("") | ||
|
|
||
| if new_failures: | ||
| print_break(printed) | ||
| print("### New failures") | ||
| print_cases(new_failures) | ||
| printed = True | ||
|
|
||
| if known_failures: | ||
| print_break(printed) | ||
| print("### Known failures") | ||
| print_cases(known_failures) | ||
| printed = True | ||
|
|
||
| if new_passes: | ||
| print_break(printed) | ||
| print("### New passes") | ||
| print_cases(new_passes) | ||
| print("") | ||
| print("> [NOTE]") | ||
| print("> Adjust baseline: some tests which previously failed now pass.") | ||
| printed = True | ||
|
|
||
| if skipped_flickies: | ||
| print_break(printed) | ||
| print("### Skipped flickies") | ||
| print_cases(skipped_flickies) | ||
| print("") | ||
| print("> [NOTE]") | ||
| print("> Adjust baseline: some flicky tests are now skipped.") | ||
| printed = True | ||
|
|
||
| if flickies: | ||
| print_break(printed) | ||
| print("### Flickies") | ||
| print_cases(flickies) | ||
| printed = True | ||
|
|
||
| if new_failures: | ||
| sys.exit(1) | ||
| elif new_passes: | ||
| sys.exit(2) | ||
| elif skipped_flickies: | ||
| sys.exit(3) | ||
|
|
||
| sys.exit(0) |
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