Bug#952163: keras: FTBFS: dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.8 3.7" returned exit code 13
Lucas Nussbaum
lucas at debian.org
Sun Feb 23 13:08:30 GMT 2020
Source: keras
Version: 2.2.4-1
Severity: serious
Justification: FTBFS on amd64
Tags: bullseye sid ftbfs
Usertags: ftbfs-20200222 ftbfs-bullseye
Hi,
During a rebuild of all packages in sid, your package failed to build
on amd64.
Relevant part (hopefully):
> make[1]: Entering directory '/<<PKGBUILDDIR>>'
> PYBUILD_SYSTEM=custom PYBUILD_TEST_ARGS="cd {build_dir} && py.test-3 -oaddopts=-v --ignore=tests/keras/utils/multi_gpu_test.py --ignore=tests/test_documentation.py --ignore=tests/keras/test_callbacks.py --ignore=tests/integration_tests/test_image_data_tasks.py --ignore=tests/integration_tests/test_temporal_data_tasks.py --ignore=tests/keras/backend/backend_test.py --ignore=tests/integration_tests/imagenet_utils_test.py --ignore=tests/integration_tests/test_datasets.py --ignore=tests/test_doc_auto_generation.py" dh_auto_test
> pybuild --test --test-pytest -i python{version} -p "3.8 3.7"
> I: pybuild base:217: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build && py.test-3 -oaddopts=-v --ignore=tests/keras/utils/multi_gpu_test.py --ignore=tests/test_documentation.py --ignore=tests/keras/test_callbacks.py --ignore=tests/integration_tests/test_image_data_tasks.py --ignore=tests/integration_tests/test_temporal_data_tasks.py --ignore=tests/keras/backend/backend_test.py --ignore=tests/integration_tests/imagenet_utils_test.py --ignore=tests/integration_tests/test_datasets.py --ignore=tests/test_doc_auto_generation.py
> ============================= test session starts ==============================
> platform linux -- Python 3.7.6, pytest-4.6.9, py-1.8.1, pluggy-0.13.0 -- /usr/bin/python3
> cachedir: .pytest_cache
> rootdir: /<<PKGBUILDDIR>>
> collecting ... collected 739 items
>
> tests/test_dynamic_trainability.py::test_layer_trainability_switch PASSED [ 0%]
> tests/test_dynamic_trainability.py::test_model_trainability_switch PASSED [ 0%]
> tests/test_dynamic_trainability.py::test_nested_model_trainability PASSED [ 0%]
> tests/test_loss_masking.py::test_masking PASSED [ 0%]
> tests/test_loss_masking.py::test_loss_masking PASSED [ 0%]
> tests/test_loss_weighting.py::test_sequential_class_weights PASSED [ 0%]
> tests/test_loss_weighting.py::test_sequential_sample_weights PASSED [ 0%]
> tests/test_loss_weighting.py::test_sequential_temporal_sample_weights PASSED [ 1%]
> tests/test_loss_weighting.py::test_weighted_metrics_with_sample_weight PASSED [ 1%]
> tests/test_loss_weighting.py::test_weighted_metrics_with_no_sample_weight PASSED [ 1%]
> tests/test_loss_weighting.py::test_weighted_metrics_with_weighted_accuracy_metric PASSED [ 1%]
> tests/test_loss_weighting.py::test_weighted_metrics_with_multiple_outputs PASSED [ 1%]
> tests/test_loss_weighting.py::test_class_weight_wrong_classes PASSED [ 1%]
> tests/test_model_pickling.py::test_sequential_model_pickling PASSED [ 1%]
> tests/test_model_pickling.py::test_sequential_model_pickling_2 PASSED [ 2%]
> tests/test_model_pickling.py::test_functional_model_pickling PASSED [ 2%]
> tests/test_model_pickling.py::test_pickling_multiple_metrics_outputs PASSED [ 2%]
> tests/test_model_pickling.py::test_pickling_without_compilation PASSED [ 2%]
> tests/test_model_pickling.py::test_pickling_right_after_compilation PASSED [ 2%]
> tests/test_model_pickling.py::test_pickling_unused_layers_is_ok PASSED [ 2%]
> tests/test_model_saving.py::test_sequential_model_saving PASSED [ 2%]
> tests/test_model_saving.py::test_sequential_model_saving_2 PASSED [ 2%]
> tests/test_model_saving.py::test_functional_model_saving PASSED [ 3%]
> tests/test_model_saving.py::test_model_saving_to_pre_created_h5py_file PASSED [ 3%]
> tests/test_model_saving.py::test_model_saving_to_binary_stream PASSED [ 3%]
> tests/test_model_saving.py::test_saving_multiple_metrics_outputs PASSED [ 3%]
> tests/test_model_saving.py::test_saving_without_compilation PASSED [ 3%]
> tests/test_model_saving.py::test_saving_right_after_compilation PASSED [ 3%]
> tests/test_model_saving.py::test_saving_unused_layers_is_ok PASSED [ 3%]
> tests/test_model_saving.py::test_loading_weights_by_name_and_reshape PASSED [ 4%]
> tests/test_model_saving.py::test_loading_weights_by_name_2 PASSED [ 4%]
> tests/test_model_saving.py::test_loading_weights_by_name_skip_mismatch PASSED [ 4%]
> tests/test_model_saving.py::test_saving_lambda_custom_objects PASSED [ 4%]
> tests/test_model_saving.py::test_saving_lambda_numpy_array_arguments PASSED [ 4%]
> tests/test_model_saving.py::test_saving_custom_activation_function PASSED [ 4%]
> tests/test_model_saving.py::test_saving_model_with_long_layer_names PASSED [ 4%]
> tests/test_model_saving.py::test_saving_model_with_long_weights_names PASSED [ 5%]
> tests/test_model_saving.py::test_saving_recurrent_layer_with_init_state PASSED [ 5%]
> tests/test_model_saving.py::test_saving_recurrent_layer_without_bias PASSED [ 5%]
> tests/test_model_saving.py::test_loop_model_saving PASSED [ 5%]
> tests/test_model_saving.py::test_saving_constant_initializer_with_numpy PASSED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-single-impl1] SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-single-impl2] SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-bidirectional-impl1] SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-bidirectional-impl2] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-single-impl1] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-single-impl2] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-bidirectional-impl1] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-bidirectional-impl2] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-single-impl1] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-single-impl2] SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-bidirectional-impl1] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-bidirectional-impl2] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-single-impl1] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-single-impl2] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-bidirectional-impl1] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-bidirectional-impl2] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-single-impl1] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-single-impl2] SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-bidirectional-impl1] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-bidirectional-impl2] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-single-impl1] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-single-impl2] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-bidirectional-impl1] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-bidirectional-impl2] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-single-impl1] SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-single-impl2] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-bidirectional-impl1] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-bidirectional-impl2] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-single-impl1] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-single-impl2] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-bidirectional-impl1] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-bidirectional-impl2] SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-single-impl1] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-single-impl2] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-bidirectional-impl1] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-bidirectional-impl2] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-single-impl1] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-single-impl2] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-bidirectional-impl1] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-bidirectional-impl2] SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-single-impl1] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-single-impl2] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-bidirectional-impl1] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-bidirectional-impl2] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-single-impl1] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-single-impl2] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-bidirectional-impl1] SKIPPED [ 11%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-bidirectional-impl2] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-single-impl1] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-single-impl2] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-bidirectional-impl1] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-bidirectional-impl2] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-single-impl1] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-single-impl2] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-bidirectional-impl1] SKIPPED [ 12%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-bidirectional-impl2] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-single-impl1] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-single-impl2] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-bidirectional-impl1] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-bidirectional-impl2] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-single-impl1] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-single-impl2] SKIPPED [ 13%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-bidirectional-impl1] SKIPPED [ 14%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-bidirectional-impl2] SKIPPED [ 14%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[LSTM-from_cudnn] SKIPPED [ 14%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[LSTM-to_cudnn] SKIPPED [ 14%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[GRU-from_cudnn] SKIPPED [ 14%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[GRU-to_cudnn] SKIPPED [ 14%]
> tests/test_model_saving.py::test_preprocess_weights_for_loading_gru_incompatible SKIPPED [ 14%]
> tests/test_multiprocessing.py::test_multiprocessing_training PASSED [ 15%]
> tests/test_multiprocessing.py::test_multiprocessing_training_from_file PASSED [ 15%]
> tests/test_multiprocessing.py::test_multiprocessing_predicting PASSED [ 15%]
> tests/test_multiprocessing.py::test_multiprocessing_evaluating PASSED [ 15%]
> tests/test_multiprocessing.py::test_multiprocessing_fit_error PASSED [ 15%]
> tests/test_multiprocessing.py::test_multiprocessing_evaluate_error PASSED [ 15%]
> tests/test_multiprocessing.py::test_multiprocessing_predict_error PASSED [ 15%]
> tests/integration_tests/applications_test.py::test_mobilenet_v2_legacy_import PASSED [ 15%]
> tests/integration_tests/applications_test.py::test_applications PASSED [ 16%]
> tests/integration_tests/test_tensorflow_integration.py::test_tf_optimizer SKIPPED [ 16%]
> tests/integration_tests/test_vector_data_tasks.py::test_vector_classification PASSED [ 16%]
> tests/integration_tests/test_vector_data_tasks.py::test_vector_classification_functional PASSED [ 16%]
> tests/integration_tests/test_vector_data_tasks.py::test_vector_regression PASSED [ 16%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator PASSED [ 16%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_with_split_value_error PASSED [ 16%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_invalid_data PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_fit PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_class_mode_input PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.25-12] PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.4-10] PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.5-8] PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils PASSED [ 17%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_random_transforms PASSED [ 18%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_deterministic_transform PASSED [ 18%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize PASSED [ 18%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img PASSED [ 18%]
> tests/integration_tests/preprocessing/sequence_test.py::test_pad_sequences PASSED [ 18%]
> tests/integration_tests/preprocessing/sequence_test.py::test_pad_sequences_vector PASSED [ 18%]
> tests/integration_tests/preprocessing/sequence_test.py::test_make_sampling_table PASSED [ 18%]
> tests/integration_tests/preprocessing/sequence_test.py::test_skipgrams PASSED [ 19%]
> tests/integration_tests/preprocessing/sequence_test.py::test_remove_long_seq PASSED [ 19%]
> tests/integration_tests/preprocessing/sequence_test.py::test_TimeseriesGenerator PASSED [ 19%]
> tests/integration_tests/preprocessing/sequence_test.py::test_TimeSeriesGenerator_doesnt_miss_any_sample PASSED [ 19%]
> tests/integration_tests/preprocessing/text_test.py::test_one_hot PASSED [ 19%]
> tests/integration_tests/preprocessing/text_test.py::test_hashing_trick_hash PASSED [ 19%]
> tests/integration_tests/preprocessing/text_test.py::test_hashing_trick_md5 PASSED [ 19%]
> tests/integration_tests/preprocessing/text_test.py::test_tokenizer PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_sequential_fit PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence_multichar_split PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence_unicode PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence_unicode_multichar_split PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_tokenizer_unicode PASSED [ 20%]
> tests/integration_tests/preprocessing/text_test.py::test_tokenizer_oov_flag PASSED [ 20%]
> tests/keras/activations_test.py::test_serialization PASSED [ 21%]
> tests/keras/activations_test.py::test_get_fn PASSED [ 21%]
> tests/keras/activations_test.py::test_softmax_valid PASSED [ 21%]
> tests/keras/activations_test.py::test_softmax_invalid PASSED [ 21%]
> tests/keras/activations_test.py::test_softmax_3d PASSED [ 21%]
> tests/keras/activations_test.py::test_time_distributed_softmax PASSED [ 21%]
> tests/keras/activations_test.py::test_softplus PASSED [ 21%]
> tests/keras/activations_test.py::test_softsign PASSED [ 22%]
> tests/keras/activations_test.py::test_sigmoid PASSED [ 22%]
> tests/keras/activations_test.py::test_hard_sigmoid PASSED [ 22%]
> tests/keras/activations_test.py::test_relu PASSED [ 22%]
> tests/keras/activations_test.py::test_elu PASSED [ 22%]
> tests/keras/activations_test.py::test_selu FAILED [ 22%]
> tests/keras/activations_test.py::test_tanh PASSED [ 22%]
> tests/keras/activations_test.py::test_linear PASSED [ 23%]
> tests/keras/constraints_test.py::test_serialization PASSED [ 23%]
> tests/keras/constraints_test.py::test_max_norm PASSED [ 23%]
> tests/keras/constraints_test.py::test_non_neg PASSED [ 23%]
> tests/keras/constraints_test.py::test_unit_norm PASSED [ 23%]
> tests/keras/constraints_test.py::test_min_max_norm PASSED [ 23%]
> tests/keras/initializers_test.py::test_uniform[FC] PASSED [ 23%]
> tests/keras/initializers_test.py::test_uniform[CONV] PASSED [ 23%]
> tests/keras/initializers_test.py::test_normal[FC] PASSED [ 24%]
> tests/keras/initializers_test.py::test_normal[CONV] PASSED [ 24%]
> tests/keras/initializers_test.py::test_truncated_normal[FC] PASSED [ 24%]
> tests/keras/initializers_test.py::test_truncated_normal[CONV] PASSED [ 24%]
> tests/keras/initializers_test.py::test_constant[FC] PASSED [ 24%]
> tests/keras/initializers_test.py::test_constant[CONV] PASSED [ 24%]
> tests/keras/initializers_test.py::test_lecun_uniform[FC] PASSED [ 24%]
> tests/keras/initializers_test.py::test_lecun_uniform[CONV] PASSED [ 25%]
> tests/keras/initializers_test.py::test_glorot_uniform[FC] PASSED [ 25%]
> tests/keras/initializers_test.py::test_glorot_uniform[CONV] PASSED [ 25%]
> tests/keras/initializers_test.py::test_he_uniform[FC] PASSED [ 25%]
> tests/keras/initializers_test.py::test_he_uniform[CONV] PASSED [ 25%]
> tests/keras/initializers_test.py::test_lecun_normal[FC] PASSED [ 25%]
> tests/keras/initializers_test.py::test_lecun_normal[CONV] PASSED [ 25%]
> tests/keras/initializers_test.py::test_glorot_normal[FC] PASSED [ 25%]
> tests/keras/initializers_test.py::test_glorot_normal[CONV] PASSED [ 26%]
> tests/keras/initializers_test.py::test_he_normal[FC] PASSED [ 26%]
> tests/keras/initializers_test.py::test_he_normal[CONV] PASSED [ 26%]
> tests/keras/initializers_test.py::test_orthogonal[FC] PASSED [ 26%]
> tests/keras/initializers_test.py::test_orthogonal[CONV] PASSED [ 26%]
> tests/keras/initializers_test.py::test_identity[FC] PASSED [ 26%]
> tests/keras/initializers_test.py::test_identity[RNN] PASSED [ 26%]
> tests/keras/initializers_test.py::test_identity[RNN_INVALID] PASSED [ 27%]
> tests/keras/initializers_test.py::test_identity[CONV] PASSED [ 27%]
> tests/keras/initializers_test.py::test_zero[FC] PASSED [ 27%]
> tests/keras/initializers_test.py::test_zero[CONV] PASSED [ 27%]
> tests/keras/initializers_test.py::test_one[FC] PASSED [ 27%]
> tests/keras/initializers_test.py::test_one[CONV] PASSED [ 27%]
> tests/keras/losses_test.py::test_objective_shapes_3d PASSED [ 27%]
> tests/keras/losses_test.py::test_objective_shapes_2d PASSED [ 28%]
> tests/keras/losses_test.py::test_cce_one_hot PASSED [ 28%]
> tests/keras/losses_test.py::test_categorical_hinge PASSED [ 28%]
> tests/keras/losses_test.py::test_sparse_categorical_crossentropy PASSED [ 28%]
> tests/keras/losses_test.py::test_sparse_categorical_crossentropy_4d PASSED [ 28%]
> tests/keras/losses_test.py::test_serializing_loss_class PASSED [ 28%]
> tests/keras/losses_test.py::test_serializing_model_with_loss_class PASSED [ 28%]
> tests/keras/metrics_test.py::test_metrics PASSED [ 28%]
> tests/keras/metrics_test.py::test_sparse_metrics PASSED [ 29%]
> tests/keras/metrics_test.py::test_sparse_categorical_accuracy_correctness PASSED [ 29%]
> tests/keras/metrics_test.py::test_serialize PASSED [ 29%]
> tests/keras/metrics_test.py::test_invalid_get PASSED [ 29%]
> tests/keras/metrics_test.py::test_top_k_categorical_accuracy PASSED [ 29%]
> tests/keras/metrics_test.py::test_sparse_top_k_categorical_accuracy[y_pred0-y_true0] PASSED [ 29%]
> tests/keras/metrics_test.py::test_sparse_top_k_categorical_accuracy[y_pred1-y_true1] PASSED [ 29%]
> tests/keras/metrics_test.py::test_stateful_metrics[list] PASSED [ 30%]
> tests/keras/metrics_test.py::test_stateful_metrics[dict] PASSED [ 30%]
> tests/keras/optimizers_test.py::test_no_grad SKIPPED [ 30%]
> tests/keras/optimizers_test.py::test_sgd PASSED [ 30%]
> tests/keras/optimizers_test.py::test_rmsprop PASSED [ 30%]
> tests/keras/optimizers_test.py::test_adagrad PASSED [ 30%]
> tests/keras/optimizers_test.py::test_adadelta PASSED [ 30%]
> tests/keras/optimizers_test.py::test_adam PASSED [ 30%]
> tests/keras/optimizers_test.py::test_adamax PASSED [ 31%]
> tests/keras/optimizers_test.py::test_nadam PASSED [ 31%]
> tests/keras/optimizers_test.py::test_adam_amsgrad PASSED [ 31%]
> tests/keras/optimizers_test.py::test_clipnorm PASSED [ 31%]
> tests/keras/optimizers_test.py::test_clipvalue PASSED [ 31%]
> tests/keras/optimizers_test.py::test_tfoptimizer SKIPPED [ 31%]
> tests/keras/regularizers_test.py::test_kernel_regularization PASSED [ 31%]
> tests/keras/regularizers_test.py::test_activity_regularization PASSED [ 32%]
> tests/keras/regularizers_test.py::test_regularization_shared_layer PASSED [ 32%]
> tests/keras/regularizers_test.py::test_regularization_shared_model PASSED [ 32%]
> tests/keras/regularizers_test.py::test_regularization_shared_layer_in_different_models PASSED [ 32%]
> tests/keras/test_sequential_model.py::test_sequential_pop PASSED [ 32%]
> tests/keras/test_sequential_model.py::test_sequential_fit_generator PASSED [ 32%]
> tests/keras/test_sequential_model.py::test_sequential PASSED [ 32%]
> tests/keras/test_sequential_model.py::test_nested_sequential PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_sequential_count_params PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_nested_sequential_trainability PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_rebuild_model PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_clone_functional_model PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_clone_sequential_model PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_sequential_update_disabling PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_sequential_deferred_build PASSED [ 33%]
> tests/keras/test_sequential_model.py::test_nested_sequential_deferred_build PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_get_updates_for PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_get_losses_for PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_trainable_weights PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_valid_compute_mask PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_invalid_compute_mask PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_get_layer PASSED [ 34%]
> tests/keras/engine/test_topology.py::test_learning_phase PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_layer_call_arguments PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_node_construction PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_multi_input_layer PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_recursion PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_load_layers PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading[GRU] PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading[LSTM] PASSED [ 35%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading[ConvLSTM2D] PASSED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_for_model[Conv2D] PASSED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_for_model[Conv2DTranspose] PASSED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_rnn_should_be_idempotent[GRU-args0] PASSED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_rnn_should_be_idempotent[GRU-args1] PASSED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_rnn_should_be_idempotent[LSTM-args2] PASSED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_cudnn_rnn_should_be_idempotent[CuDNNGRU-args0] SKIPPED [ 36%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_cudnn_rnn_should_be_idempotent[CuDNNLSTM-args1] SKIPPED [ 37%]
> tests/keras/engine/test_topology.py::test_recursion_with_bn_and_loss PASSED [ 37%]
> tests/keras/engine/test_topology.py::test_activity_regularization_with_model_composition PASSED [ 37%]
> tests/keras/engine/test_topology.py::test_shared_layer_depth_is_correct PASSED [ 37%]
> tests/keras/engine/test_topology.py::test_layer_sharing_at_heterogeneous_depth PASSED [ 37%]
> tests/keras/engine/test_topology.py::test_layer_sharing_at_heterogeneous_depth_with_concat PASSED [ 37%]
> tests/keras/engine/test_topology.py::test_multi_output_mask PASSED [ 37%]
> tests/keras/engine/test_topology.py::test_constant_initializer_with_numpy FAILED [ 38%]
> tests/keras/engine/test_training.py::test_check_array_length_consistency PASSED [ 38%]
> tests/keras/engine/test_training.py::testslice_arrays PASSED [ 38%]
> tests/keras/engine/test_training.py::test_weighted_masked_objective PASSED [ 38%]
> tests/keras/engine/test_training.py::test_model_methods PASSED [ 38%]
> tests/keras/engine/test_training.py::test_warnings PASSED [ 38%]
> tests/keras/engine/test_training.py::test_sparse_inputs_targets PASSED [ 38%]
> tests/keras/engine/test_training.py::test_sparse_placeholder_fit SKIPPED [ 38%]
> tests/keras/engine/test_training.py::test_trainable_argument PASSED [ 39%]
> tests/keras/engine/test_training.py::test_with_list_as_targets PASSED [ 39%]
> tests/keras/engine/test_training.py::test_check_not_failing PASSED [ 39%]
> tests/keras/engine/test_training.py::test_check_last_is_one PASSED [ 39%]
> tests/keras/engine/test_training.py::test_check_bad_shape PASSED [ 39%]
> tests/keras/engine/test_training.py::test_model_with_input_feed_tensor SKIPPED [ 39%]
> tests/keras/engine/test_training.py::test_model_with_partial_loss PASSED [ 39%]
> tests/keras/engine/test_training.py::test_model_with_external_loss PASSED [ 40%]
> tests/keras/engine/test_training.py::test_target_tensors PASSED [ 40%]
> tests/keras/engine/test_training.py::test_model_custom_target_tensors PASSED [ 40%]
> tests/keras/engine/test_training.py::test_trainable_weights_count_consistency PASSED [ 40%]
> tests/keras/engine/test_training.py::test_pandas_dataframe PASSED [ 40%]
> tests/keras/engine/test_training.py::test_training_and_eval_methods_on_symbolic_tensors_single_io SKIPPED [ 40%]
> tests/keras/engine/test_training.py::test_training_and_eval_methods_on_symbolic_tensors_multi_io SKIPPED [ 40%]
> tests/keras/engine/test_training.py::test_model_with_crossentropy_losses_channels_first PASSED [ 41%]
> tests/keras/engine/test_training.py::test_dynamic_set_inputs PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_leaky_relu PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_prelu PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_prelu_share PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_elu PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_thresholded_relu PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_softmax PASSED [ 41%]
> tests/keras/layers/advanced_activations_test.py::test_relu PASSED [ 42%]
> tests/keras/layers/advanced_activations_test.py::test_relu_tf_ops SKIPPED [ 42%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent PASSED [ 42%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent_statefulness PASSED [ 42%]
> tests/keras/layers/convolutional_test.py::test_causal_dilated_conv[layer_kwargs0-4-expected_output0] PASSED [ 42%]
> tests/keras/layers/convolutional_test.py::test_causal_dilated_conv[layer_kwargs1-4-expected_output1] PASSED [ 42%]
> tests/keras/layers/convolutional_test.py::test_causal_dilated_conv[layer_kwargs2-10-expected_output2] PASSED [ 42%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[valid-1] PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[valid-2] PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[same-1] PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[full-1] PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[full-2] PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_conv_1d_dilation PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_conv_1d_channels_first PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides0-valid] PASSED [ 43%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides1-valid] PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides2-same] PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides3-full] PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides4-full] PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d_channels_last PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d_dilation PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d_invalid PASSED [ 44%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-None-strides0] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-None-strides1] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-out_padding2-strides2] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-out_padding3-strides3] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-out_padding4-strides4] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[same-None-strides5] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[same-out_padding6-strides6] PASSED [ 45%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-None-strides7] PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-None-strides8] PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-out_padding9-strides9] PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-out_padding10-strides10] PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-out_padding11-strides11] PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose_dilation PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose_channels_first PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose_invalid PASSED [ 46%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-1-1] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-1-2] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-2-1] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-2-2] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-2-1-1] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-2-2-1] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-1-1] PASSED [ 47%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-1-2] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-2-1] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-2-2] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-1-1] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-1-2] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-2-1] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-2-2] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-2-1-1] PASSED [ 48%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-2-2-1] PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d_additional_args PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d_invalid PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides0-1-dilation_rate0] PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides1-1-dilation_rate1] PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides2-1-dilation_rate2] PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides3-2-dilation_rate3] PASSED [ 49%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides4-2-dilation_rate4] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides5-1-dilation_rate5] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides6-2-dilation_rate6] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides7-1-dilation_rate7] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides8-1-dilation_rate8] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides9-1-dilation_rate9] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides10-2-dilation_rate10] PASSED [ 50%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides11-2-dilation_rate11] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides12-1-dilation_rate12] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides13-1-dilation_rate13] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides14-1-dilation_rate14] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides15-2-dilation_rate15] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides16-2-dilation_rate16] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides17-1-dilation_rate17] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides18-2-dilation_rate18] PASSED [ 51%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d_additional_args PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d_invalid PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides0-1] PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides1-2] PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides2-1] PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides3-2] PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides4-1] PASSED [ 52%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides5-2] PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides6-1] PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides7-2] PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides8-1] PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides9-2] PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d_additional_args PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d_invalid PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[valid-strides0] PASSED [ 53%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[valid-strides1] PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[same-strides2] PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[full-strides3] PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[full-strides4] PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d_additional_args PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides0-channels_first] PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides1-channels_last] PASSED [ 54%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides2-channels_first] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides3-channels_last] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding4-strides4-channels_first] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding5-strides5-channels_last] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding6-strides6-channels_first] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding7-strides7-channels_last] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding8-strides8-channels_first] PASSED [ 55%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding9-strides9-channels_last] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-None-strides10-channels_first] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-None-strides11-channels_last] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-out_padding12-strides12-channels_first] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-out_padding13-strides13-channels_last] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides14-channels_first] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides15-channels_last] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides16-channels_first] PASSED [ 56%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides17-channels_last] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding18-strides18-channels_first] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding19-strides19-channels_last] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding20-strides20-channels_first] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding21-strides21-channels_last] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding22-strides22-channels_first] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding23-strides23-channels_last] PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose_additional_args PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose_invalid PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_1d PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_first-padding0] PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_first-padding1] PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_last-padding2] PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_last-padding3] PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d_correctness PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_first-padding0] PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_first-padding1] PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_last-padding2] PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_last-padding3] PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d_correctness PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_upsampling_1d PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d_bilinear[channels_first] PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d_bilinear[channels_last] PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_upsampling_3d PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_cropping_1d PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_cropping_2d PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_cropping_3d PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_conv_float64[input_shape0-Conv1D] PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_conv_float64[input_shape1-Conv2D] PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_conv_float64[input_shape2-Conv3D] PASSED [ 61%]
> tests/keras/layers/core_test.py::test_masking PASSED [ 61%]
> tests/keras/layers/core_test.py::test_dropout PASSED [ 61%]
> tests/keras/layers/core_test.py::test_activation PASSED [ 61%]
> tests/keras/layers/core_test.py::test_reshape PASSED [ 61%]
> tests/keras/layers/core_test.py::test_permute PASSED [ 61%]
> tests/keras/layers/core_test.py::test_flatten PASSED [ 61%]
> tests/keras/layers/core_test.py::test_repeat_vector PASSED [ 62%]
> tests/keras/layers/core_test.py::test_lambda PASSED [ 62%]
> tests/keras/layers/core_test.py::test_lambda_output_shape SKIPPED [ 62%]
> tests/keras/layers/core_test.py::test_dense PASSED [ 62%]
> tests/keras/layers/core_test.py::test_activity_regularization PASSED [ 62%]
> tests/keras/layers/core_test.py::test_sequential_as_downstream_of_masking_layer PASSED [ 62%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_canonical_to_params_lstm SKIPPED [ 62%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_canonical_to_params_gru SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_timing[LSTM] SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_timing[GRU] SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_basics SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_trainability SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_regularizer SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_return_state SKIPPED [ 63%]
> tests/keras/layers/cudnn_recurrent_test.py::test_specify_initial_state_keras_tensor SKIPPED [ 64%]
> tests/keras/layers/cudnn_recurrent_test.py::test_statefulness SKIPPED [ 64%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnnrnn_bidirectional SKIPPED [ 64%]
> tests/keras/layers/embeddings_test.py::test_embedding PASSED [ 64%]
> tests/keras/layers/embeddings_test.py::test_embedding_invalid PASSED [ 64%]
> tests/keras/layers/local_test.py::test_locallyconnected_1d PASSED [ 64%]
> tests/keras/layers/local_test.py::test_locallyconnected_2d PASSED [ 64%]
> tests/keras/layers/merge_test.py::test_merge_add PASSED [ 64%]
> tests/keras/layers/merge_test.py::test_merge_subtract PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_multiply PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_average PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_maximum PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_minimum PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_concatenate PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_dot PASSED [ 65%]
> tests/keras/layers/merge_test.py::test_merge_broadcast PASSED [ 66%]
> tests/keras/layers/merge_test.py::test_masking_concatenate PASSED [ 66%]
> tests/keras/layers/noise_test.py::test_GaussianNoise PASSED [ 66%]
> tests/keras/layers/noise_test.py::test_GaussianDropout PASSED [ 66%]
> tests/keras/layers/noise_test.py::test_AlphaDropout PASSED [ 66%]
> tests/keras/layers/normalization_test.py::test_basic_batchnorm PASSED [ 66%]
> tests/keras/layers/normalization_test.py::test_batchnorm_correctness_1d PASSED [ 66%]
> tests/keras/layers/normalization_test.py::test_batchnorm_correctness_2d PASSED [ 66%]
> tests/keras/layers/normalization_test.py::test_batchnorm_training_argument PASSED [ 67%]
> tests/keras/layers/normalization_test.py::test_batchnorm_mode_twice PASSED [ 67%]
> tests/keras/layers/normalization_test.py::test_batchnorm_convnet PASSED [ 67%]
> tests/keras/layers/normalization_test.py::test_batchnorm_convnet_no_center_no_scale SKIPPED [ 67%]
> tests/keras/layers/normalization_test.py::test_shared_batchnorm PASSED [ 67%]
> tests/keras/layers/normalization_test.py::test_that_trainable_disables_updates PASSED [ 67%]
> tests/keras/layers/normalization_test.py::test_batchnorm_trainable PASSED [ 67%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-1-channels_first] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-1-channels_last] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-2-channels_first] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-2-channels_last] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-1-channels_first] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-1-channels_last] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-2-channels_first] PASSED [ 68%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-2-channels_last] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_maxpooling_2d[strides0] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_maxpooling_2d[strides1] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_maxpooling_3d[2-None-input_shape0] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_maxpooling_3d[3-channels_first-input_shape1] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-1-channels_first] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-1-channels_last] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-2-channels_first] PASSED [ 69%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-2-channels_last] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-1-channels_first] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-1-channels_last] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-2-channels_first] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-2-channels_last] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_2d[strides0-same-None-input_shape0] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_2d[strides1-valid-None-input_shape1] PASSED [ 70%]
> tests/keras/layers/pooling_test.py::test_averagepooling_2d[strides2-valid-channels_first-input_shape2] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_averagepooling_3d[2-None-input_shape0] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_averagepooling_3d[3-channels_first-input_shape1] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_first-GlobalMaxPooling1D] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_first-GlobalAveragePooling1D] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_last-GlobalMaxPooling1D] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_last-GlobalAveragePooling1D] PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d_supports_masking PASSED [ 71%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_first-GlobalMaxPooling2D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_first-GlobalAveragePooling2D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_last-GlobalMaxPooling2D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_last-GlobalAveragePooling2D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_first-GlobalMaxPooling3D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_first-GlobalAveragePooling3D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_last-GlobalMaxPooling3D] PASSED [ 72%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_last-GlobalAveragePooling3D] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_return_sequences[SimpleRNN] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_return_sequences[GRU] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_return_sequences[LSTM] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_dynamic_behavior[SimpleRNN] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_dynamic_behavior[GRU] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_dynamic_behavior[LSTM] PASSED [ 73%]
> tests/keras/layers/recurrent_test.py::test_stateful_invalid_use[SimpleRNN] PASSED [ 74%]
> tests/keras/layers/recurrent_test.py::test_stateful_invalid_use[GRU] PASSED [ 74%]
> tests/keras/layers/recurrent_test.py::test_stateful_invalid_use[LSTM] PASSED [ 74%]
> tests/keras/layers/recurrent_test.py::test_dropout[SimpleRNN] SKIPPED [ 74%]
> tests/keras/layers/recurrent_test.py::test_dropout[GRU] SKIPPED [ 74%]
> tests/keras/layers/recurrent_test.py::test_dropout[LSTM] SKIPPED [ 74%]
> tests/keras/layers/recurrent_test.py::test_statefulness[SimpleRNN] PASSED [ 74%]
> tests/keras/layers/recurrent_test.py::test_statefulness[GRU] PASSED [ 74%]
> tests/keras/layers/recurrent_test.py::test_statefulness[LSTM] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness[SimpleRNN] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness[GRU] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness[LSTM] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_implementation_mode[SimpleRNN] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_implementation_mode[GRU] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_implementation_mode[LSTM] PASSED [ 75%]
> tests/keras/layers/recurrent_test.py::test_regularizer[SimpleRNN] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_regularizer[GRU] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_regularizer[LSTM] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_trainability[SimpleRNN] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_trainability[GRU] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_trainability[LSTM] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_masking_layer PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_from_config[SimpleRNN] PASSED [ 76%]
> tests/keras/layers/recurrent_test.py::test_from_config[GRU] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_from_config[LSTM] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_keras_tensor[SimpleRNN] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_keras_tensor[GRU] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_keras_tensor[LSTM] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_non_keras_tensor[SimpleRNN] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_non_keras_tensor[GRU] PASSED [ 77%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_non_keras_tensor[LSTM] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_reset_states_with_values[SimpleRNN] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_reset_states_with_values[GRU] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_reset_states_with_values[LSTM] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_initial_states_as_other_inputs[SimpleRNN] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_initial_states_as_other_inputs[GRU] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_initial_states_as_other_inputs[LSTM] PASSED [ 78%]
> tests/keras/layers/recurrent_test.py::test_specify_state_with_masking[SimpleRNN] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_specify_state_with_masking[GRU] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_specify_state_with_masking[LSTM] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_return_state[SimpleRNN] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_return_state[GRU] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_return_state[LSTM] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_state_reuse[SimpleRNN] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_state_reuse[GRU] PASSED [ 79%]
> tests/keras/layers/recurrent_test.py::test_state_reuse[LSTM] PASSED [ 80%]
> tests/keras/layers/recurrent_test.py::test_state_reuse_with_dropout[SimpleRNN] SKIPPED [ 80%]
> tests/keras/layers/recurrent_test.py::test_state_reuse_with_dropout[GRU] SKIPPED [ 80%]
> tests/keras/layers/recurrent_test.py::test_state_reuse_with_dropout[LSTM] SKIPPED [ 80%]
> tests/keras/layers/recurrent_test.py::test_minimal_rnn_cell_non_layer PASSED [ 80%]
> tests/keras/layers/recurrent_test.py::test_minimal_rnn_cell_non_layer_multiple_states PASSED [ 80%]
> tests/keras/layers/recurrent_test.py::test_minimal_rnn_cell_layer PASSED [ 80%]
> tests/keras/layers/recurrent_test.py::test_builtin_rnn_cell_layer[SimpleRNNCell] PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_builtin_rnn_cell_layer[GRUCell] PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_builtin_rnn_cell_layer[LSTMCell] PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_stacked_rnn_dropout SKIPPED [ 81%]
> tests/keras/layers/recurrent_test.py::test_stacked_rnn_attributes PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_stacked_rnn_compute_output_shape PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_batch_size_equal_one[SimpleRNN] PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_batch_size_equal_one[GRU] PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_batch_size_equal_one[LSTM] PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_with_constants_layer PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_with_constants_layer_passing_initial_state PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_identity_initializer[SimpleRNN] PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_identity_initializer[GRU] PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_identity_initializer[LSTM] PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_inconsistent_output_state_size PASSED [ 82%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_learning_phase PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_trainable PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_with_masked_embedding_and_unspecified_shape PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_with_masking_layer PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_regularizers PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional PASSED [ 83%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dynamic_timesteps PASSED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[sum] PASSED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[mul] PASSED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[ave] PASSED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[concat] PASSED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[None] PASSED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dropout[sum] SKIPPED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dropout[concat] SKIPPED [ 84%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dropout[None] SKIPPED [ 85%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_state_reuse PASSED [ 85%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_with_constants PASSED [ 85%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_with_constants_layer_passing_initial_state PASSED [ 85%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_trainable PASSED [ 85%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_updates PASSED [ 85%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_losses PASSED [ 85%]
> tests/keras/legacy/interface_test.py::test_dense_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_dropout_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_embedding_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_maxpooling1d_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_avgpooling1d_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_prelu_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_gaussiannoise_legacy_interface PASSED [ 86%]
> tests/keras/legacy/interface_test.py::test_lstm_legacy_interface PASSED [ 87%]
> tests/keras/legacy/interface_test.py::test_simplernn_legacy_interface PASSED [ 87%]
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> tests/keras/legacy/interface_test.py::test_gaussiandropout_legacy_interface PASSED [ 87%]
> tests/keras/legacy/interface_test.py::test_maxpooling2d_legacy_interface PASSED [ 87%]
> tests/keras/legacy/interface_test.py::test_avgpooling2d_legacy_interface PASSED [ 87%]
> tests/keras/legacy/interface_test.py::test_maxpooling3d_legacy_interface PASSED [ 87%]
> tests/keras/legacy/interface_test.py::test_avgpooling3d_legacy_interface PASSED [ 87%]
> tests/keras/legacy/interface_test.py::test_global_maxpooling2d_legacy_interface PASSED [ 88%]
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> tests/keras/legacy/interface_test.py::test_global_avgpooling3d_legacy_interface PASSED [ 88%]
> tests/keras/legacy/interface_test.py::test_upsampling1d_legacy_interface PASSED [ 88%]
> tests/keras/legacy/interface_test.py::test_upsampling2d_legacy_interface PASSED [ 88%]
> tests/keras/legacy/interface_test.py::test_upsampling3d_legacy_interface PASSED [ 88%]
> tests/keras/legacy/interface_test.py::test_conv2d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_conv1d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_separable_conv2d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_batchnorm_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_atrousconv1d_legacy_interface PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_atrousconv2d_legacy_interface PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_zeropadding2d_legacy_interface PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_zeropadding3d_legacy_interface PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_cropping2d_legacy_interface PASSED [ 90%]
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> tests/keras/legacy/interface_test.py::test_generator_methods_interface PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_spatialdropout1d_legacy_interface PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_spatialdropout2d_legacy_interface PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_spatialdropout3d_legacy_interface PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_optimizer_get_updates_legacy_interface PASSED [ 91%]
> tests/keras/legacy/layers_test.py::test_highway PASSED [ 91%]
> tests/keras/legacy/layers_test.py::test_maxout_dense PASSED [ 91%]
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> tests/keras/utils/data_utils_test.py::test_generator_enqueuer_threadsafe PASSED [ 93%]
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> tests/keras/utils/data_utils_test.py::test_generator_enqueuer_fail_processes PASSED [ 93%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_threads PASSED [ 93%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_threads_not_ordered PASSED [ 93%]
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> tests/keras/utils/data_utils_test.py::test_on_epoch_end_processes PASSED [ 94%]
> tests/keras/utils/data_utils_test.py::test_context_switch PASSED [ 94%]
> tests/keras/utils/data_utils_test.py::test_on_epoch_end_threads PASSED [ 94%]
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> tests/keras/utils/generic_utils_test.py::test_progbar PASSED [ 94%]
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> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, **kwargs)-x-False-True] PASSED [ 95%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, **kwargs)-y-False-False] PASSED [ 95%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, **kwargs)-y-True-True] PASSED [ 96%]
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> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, *args, y=1)-y-False-True] PASSED [ 96%]
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> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, *, y=1)-x-False-True] PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, *, y=1)-y-False-True] PASSED [ 96%]
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> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load_closure PASSED [ 97%]
> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load_backwards_compat[softmax] PASSED [ 97%]
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> tests/keras/utils/io_utils_test.py::test_io_utils PASSED [ 98%]
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> tests/keras/utils/io_utils_test.py::test_h5dict_groups PASSED [ 98%]
> tests/keras/utils/layer_utils_test.py::test_convert_weights PASSED [ 98%]
> tests/keras/utils/np_utils_test.py::test_to_categorical PASSED [ 99%]
> tests/keras/utils/vis_utils_test.py::test_plot_model PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_classify_build_fn PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_classify_class_build_fn PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_classify_inherit_class_build_fn PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_regression_build_fn PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_regression_class_build_fn PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_regression_inherit_class_build_fn PASSED [100%]
>
> =================================== FAILURES ===================================
> __________________________________ test_selu ___________________________________
>
> def test_selu():
> x = K.placeholder(ndim=2)
> f = K.function([x], [activations.selu(x)])
> alpha = 1.6732632423543772848170429916717
> scale = 1.0507009873554804934193349852946
>
> positive_values = get_standard_values()
> result = f([positive_values])[0]
> assert_allclose(result, positive_values * scale, rtol=1e-05)
>
> negative_values = np.array([[-1, -2]], dtype=K.floatx())
>
> result = f([negative_values])[0]
> true_result = (np.exp(negative_values) - 1) * scale * alpha
>
> > assert_allclose(result, true_result)
> E AssertionError:
> E Not equal to tolerance rtol=1e-07, atol=0
> E
> E Mismatch: 50%
> E Max absolute difference: 1.1920929e-07
> E Max relative difference: 1.0726715e-07
> E x: array([[-1.111331, -1.520167]], dtype=float32)
> E y: array([[-1.111331, -1.520167]], dtype=float32)
>
> tests/keras/activations_test.py:226: AssertionError
> _____________________ test_constant_initializer_with_numpy _____________________
>
> def test_constant_initializer_with_numpy():
> model = Sequential()
> model.add(Dense(2, input_shape=(3,),
> kernel_initializer=Constant(np.ones((3, 2)))))
> model.add(Dense(3))
> model.compile(loss='mse', optimizer='sgd', metrics=['acc'])
>
> json_str = model.to_json()
> model_from_json(json_str).summary()
>
> yaml_str = model.to_yaml()
> > model_from_yaml(yaml_str).summary()
>
> tests/keras/engine/test_topology.py:803:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> keras/engine/saving.py:473: in model_from_yaml
> config = yaml.load(yaml_string)
> /usr/lib/python3/dist-packages/yaml/__init__.py:114: in load
> return loader.get_single_data()
> /usr/lib/python3/dist-packages/yaml/constructor.py:43: in get_single_data
> return self.construct_document(node)
> /usr/lib/python3/dist-packages/yaml/constructor.py:52: in construct_document
> for dummy in generator:
> /usr/lib/python3/dist-packages/yaml/constructor.py:405: in construct_yaml_map
> value = self.construct_mapping(node)
> /usr/lib/python3/dist-packages/yaml/constructor.py:210: in construct_mapping
> return super().construct_mapping(node, deep=deep)
> /usr/lib/python3/dist-packages/yaml/constructor.py:135: in construct_mapping
> value = self.construct_object(value_node, deep=deep)
> /usr/lib/python3/dist-packages/yaml/constructor.py:92: in construct_object
> data = constructor(self, node)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
>
> self = <yaml.loader.FullLoader object at 0x7f14e5ea0f50>
> node = MappingNode(tag='tag:yaml.org,2002:python/object/apply:numpy.core.multiarray._reconstruct', value=[(ScalarNode(tag='ta...arNode(tag='tag:yaml.org,2002:binary', value='AAAAAAAA8D8AAAAAAADwPwAAAAAAAPA/AAAAAAAA8D8AAAAAAADwPwAAAAAAAPA/\n')]))])
>
> def construct_undefined(self, node):
> raise ConstructorError(None, None,
> "could not determine a constructor for the tag %r" % node.tag,
> > node.start_mark)
> E yaml.constructor.ConstructorError: could not determine a constructor for the tag 'tag:yaml.org,2002:python/object/apply:numpy.core.multiarray._reconstruct'
> E in "<unicode string>", line 22, column 18:
> E value: !!python/object/apply:numpy.core ...
> E ^
>
> /usr/lib/python3/dist-packages/yaml/constructor.py:421: ConstructorError
> ----------------------------- Captured stdout call -----------------------------
> _________________________________________________________________
> Layer (type) Output Shape Param #
> =================================================================
> dense_192 (Dense) (None, 2) 8
> _________________________________________________________________
> dense_193 (Dense) (None, 3) 9
> =================================================================
> Total params: 17
> Trainable params: 17
> Non-trainable params: 0
> _________________________________________________________________
> =============================== warnings summary ===============================
> tests/keras/engine/test_training.py:1104
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py:1104: DeprecationWarning: invalid escape sequence \d
> 'have one entry per model output. The model has \d '
>
> tests/keras/engine/test_training.py:1109
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py:1109: DeprecationWarning: invalid escape sequence \d
> match='The model has \d outputs, but you passed a single '
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_pickling.py::test_pickling_without_compilation
> .pybuild/cpython3_3.8_keras/build/tests/test_model_pickling.py::test_pickling_unused_layers_is_ok
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_without_compilation
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_unused_layers_is_ok
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_recurrent_layer_with_init_state
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_recurrent_layer_without_bias
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/saving.py:292: UserWarning: No training configuration found in save file: the model was *not* compiled. Compile it manually.
> warnings.warn('No training configuration found in save file: '
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_pickling.py::test_pickling_unused_layers_is_ok
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_1 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(None, 256, 512, 6)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_sequential_model_saving
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_functional_model_saving
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_pre_created_h5py_file
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_pre_created_h5py_file
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_pre_created_h5py_file
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_binary_stream
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_binary_stream
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_multiple_metrics_outputs
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_unused_layers_is_ok
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_unused_layers_is_ok
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_lambda_custom_objects
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_lambda_custom_objects
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_lambda_numpy_array_arguments
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_lambda_numpy_array_arguments
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_custom_activation_function
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_model_with_long_layer_names
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_model_with_long_weights_names
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_recurrent_layer_with_init_state
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_recurrent_layer_with_init_state
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_recurrent_layer_without_bias
> .pybuild/cpython3_3.8_keras/build/tests/keras/losses_test.py::test_serializing_model_with_loss_class
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/saving.py:251: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
> if weight_names:
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_pre_created_h5py_file
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py:135: H5pyDeprecationWarning: The default file mode will change to 'r' (read-only) in h5py 3.0. To suppress this warning, pass the mode you need to h5py.File(), or set the global default h5.get_config().default_file_mode, or set the environment variable H5PY_DEFAULT_READONLY=1. Available modes are: 'r', 'r+', 'w', 'w-'/'x', 'a'. See the docs for details.
> backing_store=False) as h5file:
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_binary_stream
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py:172: H5pyDeprecationWarning: The default file mode will change to 'r' (read-only) in h5py 3.0. To suppress this warning, pass the mode you need to h5py.File(), or set the global default h5.get_config().default_file_mode, or set the environment variable H5PY_DEFAULT_READONLY=1. Available modes are: 'r', 'r+', 'w', 'w-'/'x', 'a'. See the docs for details.
> backing_store=False) as h5file:
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_to_binary_stream
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py:175: H5pyDeprecationWarning: File.fid has been deprecated. Use File.id instead.
> binary_data = h5file.fid.get_file_image()
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_unused_layers_is_ok
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_2 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(None, 256, 512, 6)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_lambda_numpy_array_arguments
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_4 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(None, 4, 2, 3)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_recurrent_layer_with_init_state
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/network.py:877: UserWarning: Layer lstm_2 was passed non-serializable keyword arguments: {'initial_state': [/input_23, /input_23]}. They will not be included in the serialized model (and thus will be missing at deserialization time).
> '. They will not be included '
>
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training_from_file
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_fit_error
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_generator.py:47: UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.
> UserWarning('Using a generator with `use_multiprocessing=True`'
>
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training_from_file
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training_from_file
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training_from_file
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_training_from_file
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predicting
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predicting
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predicting
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predicting
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluating
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluating
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluating
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluating
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_fit_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_fit_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_fit_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_fit_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluate_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluate_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluate_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluate_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predict_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predict_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predict_error
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predict_error
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_stateful_metrics[list]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_stateful_metrics[dict]
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential_fit_generator
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential_fit_generator
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential_fit_generator
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential_fit_generator
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_methods
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_methods
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_methods
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_methods
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/utils/data_utils.py:651: DeprecationWarning: `wait_time` is not used anymore.
> DeprecationWarning)
>
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predicting
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_predict_error
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_generator.py:398: UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.
> UserWarning('Using a generator with `use_multiprocessing=True`'
>
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluating
> .pybuild/cpython3_3.8_keras/build/tests/test_multiprocessing.py::test_multiprocessing_evaluate_error
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_generator.py:293: UserWarning: Using a generator with `use_multiprocessing=True` and multiple workers may duplicate your data. Please consider using the`keras.utils.Sequence class.
> UserWarning('Using a generator with `use_multiprocessing=True`'
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/test_vector_data_tasks.py::test_vector_classification_functional
> .pybuild/cpython3_3.8_keras/build/tests/keras/losses_test.py::test_cce_one_hot
> .pybuild/cpython3_3.8_keras/build/tests/keras/losses_test.py::test_sparse_categorical_crossentropy
> .pybuild/cpython3_3.8_keras/build/tests/keras/losses_test.py::test_sparse_categorical_crossentropy_4d
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_sparse_metrics
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_sparse_categorical_accuracy_correctness
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_crossentropy_losses_channels_first
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_crossentropy_losses_channels_first
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /usr/lib/python3/dist-packages/theano/tensor/subtensor.py:2339: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
> out[0][inputs[2:]] = inputs[1]
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/preprocessing/image.py:43: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
> if 'dtype' in inspect.getargspec(image.img_to_array).args:
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_with_split_value_error
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_invalid_data
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_fit
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_fit
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_class_mode_input
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.25-12]
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.4-10]
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.5-8]
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_random_transforms
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_random_transforms
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_deterministic_transform
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/preprocessing/image.py:440: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
> image.ImageDataGenerator.__init__).args:
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_invalid_data
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_fit
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> /usr/lib/python3/dist-packages/keras_preprocessing/image.py:841: UserWarning: This ImageDataGenerator specifies `zca_whitening` which overrides setting of`featurewise_std_normalization`.
> warnings.warn('This ImageDataGenerator specifies '
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/preprocessing/image.py:28: DeprecationWarning: inspect.getargspec() is deprecated since Python 3.0, use inspect.signature() or inspect.getfullargspec()
> if 'dtype' in inspect.getargspec(image.array_to_img).args:
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> /usr/lib/python3/dist-packages/keras_preprocessing/image.py:492: UserWarning: grayscale is deprecated. Please use color_mode = "grayscale"
> warnings.warn('grayscale is deprecated. Please use '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py:74: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
> assert not l2[l2 < m]
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> .pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py::test_min_max_norm
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/constraints_test.py:75: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
> assert not l2[l2 > m * 2 + 1e-5]
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_top_k_categorical_accuracy
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_sparse_top_k_categorical_accuracy[y_pred0-y_true0]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_test.py::test_sparse_top_k_categorical_accuracy[y_pred1-y_true1]
> /usr/lib/python3/dist-packages/theano/tensor/subtensor.py:2197: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
> rval = inputs[0].__getitem__(inputs[1:])
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_sequential
> .pybuild/cpython3_3.8_keras/build/tests/keras/test_sequential_model.py::test_nested_sequential
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_topology.py::test_recursion
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_topology.py::test_constant_initializer_with_numpy
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/saving.py:473: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
> config = yaml.load(yaml_string)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_topology.py::test_recursion
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/network.py:180: UserWarning: Model inputs must come from `keras.layers.Input` (thus holding past layer metadata), they cannot be the output of a previous non-Input layer. Here, a tensor specified as input to your model was not an Input tensor, it was generated by layer dense_184.
> Note that input tensors are instantiated via `tensor = keras.layers.Input(shape)`.
> The tensor that caused the issue was: None
> str(x.name))
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_partial_loss
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py:860: UserWarning: Output "dense_1" missing from loss dictionary. We assume this was done on purpose, and we will not be expecting any data to be passed to "dense_1" during training.
> model.compile(optimizer, loss, metrics=['mae'])
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_partial_loss
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py:881: UserWarning: Output "dense_1" missing from loss dictionary. We assume this was done on purpose, and we will not be expecting any data to be passed to "dense_1" during training.
> model.compile(optimizer, loss, metrics={'dense_1': 'mae'})
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent_statefulness
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/convolutional_recurrent.py:587: UserWarning: RNN dropout is no longer supported with the Theano backend due to technical limitations. You can either set `dropout` and `recurrent_dropout` to 0, or use the TensorFlow backend.
> 'RNN dropout is no longer supported with the Theano backend '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/core_test.py::test_lambda
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_5 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(3, 2)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/core_test.py::test_lambda
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/core_test.py::test_lambda
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_5 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(None, 2)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/core_test.py::test_lambda
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_6 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(3, 2)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/core_test.py::test_lambda
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/core_test.py::test_lambda
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:665: UserWarning: `output_shape` argument not specified for layer lambda_6 and cannot be automatically inferred with the Theano backend. Defaulting to output shape `(None, 2)` (same as input shape). If the expected output shape is different, specify it via the `output_shape` argument.
> .format(self.name, input_shape))
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_implementation_mode[SimpleRNN]
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/recurrent.py:1031: UserWarning: The `implementation` argument in `SimpleRNN` has been deprecated. Please remove it from your layer call.
> warnings.warn('The `implementation` argument '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_implementation_mode[SimpleRNN]
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/wrappers_test.py::test_Bidirectional
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/wrappers_test.py::test_Bidirectional
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/wrappers_test.py::test_Bidirectional
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/wrappers_test.py::test_Bidirectional
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/wrappers_test.py::test_Bidirectional_dynamic_timesteps
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_simplernn_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/recurrent.py:1036: UserWarning: RNN dropout is no longer supported with the Theano backend due to technical limitations. You can either set `dropout` and `recurrent_dropout` to 0, or use the TensorFlow backend.
> 'RNN dropout is no longer supported with the Theano backend '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_implementation_mode[GRU]
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_implementation_mode[GRU]
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_gru_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/recurrent.py:1610: UserWarning: RNN dropout is no longer supported with the Theano backend due to technical limitations. You can either set `dropout` and `recurrent_dropout` to 0, or use the TensorFlow backend.
> 'RNN dropout is no longer supported with the Theano backend '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_implementation_mode[LSTM]
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_implementation_mode[LSTM]
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/recurrent.py:2155: UserWarning: RNN dropout is no longer supported with the Theano backend due to technical limitations. You can either set `dropout` and `recurrent_dropout` to 0, or use the TensorFlow backend.
> 'RNN dropout is no longer supported with the Theano backend '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_masking_layer
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_masking_layer
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/recurrent.py:649: DeprecationWarning: stack(*tensors) interface is deprecated, use stack(tensors, axis=0) instead.
> input_length=timesteps)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_stacked_rnn_compute_output_shape
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/recurrent.py:65: UserWarning: `reverse_state_order=True` in `StackedRNNCells` will soon be deprecated. Please update the code to work with the natural order of states if you reply on the RNN states, eg `RNN(return_state=True)`.
> warnings.warn('`reverse_state_order=True` in `StackedRNNCells` '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_dense_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:8: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(input_dim=3, name="d", units=2)`
> old_layer = keras.layers.Dense(input_dim=3, output_dim=2, name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_dense_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:14: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(2, name="d", kernel_initializer="normal", kernel_regularizer="l1", kernel_constraint="maxnorm", use_bias=False)`
> W_constraint='maxnorm', name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_dense_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:23: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(2, name="d", bias_regularizer="l1", bias_constraint="maxnorm", use_bias=True)`
> b_constraint='maxnorm', name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_dropout_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:31: UserWarning: Update your `Dropout` call to the Keras 2 API: `Dropout(name="drop", rate=3)`
> old_layer = keras.layers.Dropout(p=3, name='drop')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_embedding_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:46: UserWarning: Update your `Embedding` call to the Keras 2 API: `Embedding(input_dim=4, output_dim=2, name="d", embeddings_initializer="normal", embeddings_regularizer="l1", embeddings_constraint="maxnorm")`
> W_constraint='maxnorm')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_embedding_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:53: UserWarning: The `dropout` argument is no longer support in `Embedding`. You can apply a `keras.layers.SpatialDropout1D` layer right after the `Embedding` layer to get the same behavior.
> old_layer = keras.layers.Embedding(1, 1, dropout=0.0, name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:61: UserWarning: Update your `MaxPooling1D` call to the Keras 2 API: `MaxPooling1D(name="maxpool1d", pool_size=2, padding="valid")`
> name='maxpool1d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:77: UserWarning: Update your `AveragePooling1D` call to the Keras 2 API: `AveragePooling1D(name="d", pool_size=2, padding="valid")`
> name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_prelu_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:87: UserWarning: Update your `PReLU` call to the Keras 2 API: `PReLU(name="p", alpha_initializer="zero")`
> old_layer = keras.layers.PReLU(init='zero', name='p')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_gaussiannoise_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:93: UserWarning: Update your `GaussianNoise` call to the Keras 2 API: `GaussianNoise(name="gn", stddev=0.5)`
> old_layer = keras.layers.GaussianNoise(sigma=0.5, name='gn')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:99: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(input_shape=[3, 5], name="d", units=2)`
> old_layer = keras.layers.LSTM(input_shape=[3, 5], output_dim=2, name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:104: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(input_shape=[3, 5], name="d", units=2, implementation=1)`
> consume_less='mem')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:109: UserWarning: The `input_dim` and `input_length` arguments in recurrent layers are deprecated. Use `input_shape` instead.
> output_dim=2, name='d', consume_less='mem')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:109: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(name="d", input_shape=(3, 5), units=2, implementation=1)`
> output_dim=2, name='d', consume_less='mem')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:114: UserWarning: The `input_dim` and `input_length` arguments in recurrent layers are deprecated. Use `input_shape` instead.
> output_dim=2, name='d', consume_less='mem')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:114: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(name="d", input_shape=(None, 5), units=2, implementation=1)`
> output_dim=2, name='d', consume_less='mem')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:120: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(input_shape=[3, 5], name="d", units=2, implementation=2)`
> consume_less='gpu')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:133: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(2, name="LSTM", unit_forget_bias=True, kernel_initializer="normal", recurrent_initializer="glorot_uniform", recurrent_activation="hard_sigmoid", kernel_regularizer="l1", bias_regularizer="l1", recurrent_regularizer="l1", dropout=0.1, recurrent_dropout=0.1)`
> name='LSTM')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:157: UserWarning: The `forget_bias_init` argument has been ignored. Use `unit_forget_bias=True` instead to initialize with ones.
> name='LSTM')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_lstm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:157: UserWarning: Update your `LSTM` call to the Keras 2 API: `LSTM(2, name="LSTM", kernel_initializer="normal", recurrent_initializer="glorot_uniform", recurrent_activation="hard_sigmoid", kernel_regularizer="l1", bias_regularizer="l1", recurrent_regularizer="l1", dropout=0.1, recurrent_dropout=0.1)`
> name='LSTM')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_simplernn_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:174: UserWarning: Update your `SimpleRNN` call to the Keras 2 API: `SimpleRNN(input_shape=[3, 5], name="d", units=2)`
> old_layer = keras.layers.SimpleRNN(input_shape=[3, 5], output_dim=2, name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_simplernn_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:185: UserWarning: Update your `SimpleRNN` call to the Keras 2 API: `SimpleRNN(2, name="SimpleRNN", kernel_initializer="normal", recurrent_initializer="glorot_uniform", kernel_regularizer="l1", bias_regularizer="l1", recurrent_regularizer="l1", dropout=0.1, recurrent_dropout=0.1)`
> name='SimpleRNN')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_gru_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:198: UserWarning: Update your `GRU` call to the Keras 2 API: `GRU(input_shape=[3, 5], name="d", units=2)`
> old_layer = keras.layers.GRU(input_shape=[3, 5], output_dim=2, name='d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_gru_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:210: UserWarning: Update your `GRU` call to the Keras 2 API: `GRU(2, name="GRU", kernel_initializer="normal", recurrent_initializer="glorot_uniform", recurrent_activation="hard_sigmoid", kernel_regularizer="l1", bias_regularizer="l1", recurrent_regularizer="l1", dropout=0.1, recurrent_dropout=0.1)`
> name='GRU')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_gaussiandropout_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:224: UserWarning: Update your `GaussianDropout` call to the Keras 2 API: `GaussianDropout(name="drop", rate=0.6)`
> old_layer = keras.layers.GaussianDropout(p=0.6, name='drop')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:233: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D(pool_size=(2, 2), name="maxpool2d", padding="valid")`
> pool_size=(2, 2), border_mode='valid', name='maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:244: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D((2, 2), padding="valid", name="maxpool2d", data_format="channels_last")`
> (2, 2), padding='valid', dim_ordering='tf', name='maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:250: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D((2, 2), padding="valid", name="maxpool2d", data_format="channels_first")`
> (2, 2), padding='valid', dim_ordering='th', name='maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:257: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D((2, 2), padding="valid", name="maxpool2d", data_format=None)`
> (2, 2), padding='valid', dim_ordering='default', name='maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:265: UserWarning: Update your `AveragePooling2D` call to the Keras 2 API: `AveragePooling2D(pool_size=(2, 2), name="avgpooling2d", padding="valid")`
> pool_size=(2, 2), border_mode='valid', name='avgpooling2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:277: UserWarning: Update your `AveragePooling2D` call to the Keras 2 API: `AveragePooling2D((2, 2), padding="valid", name="avgpooling2d", data_format="channels_last")`
> (2, 2), padding='valid', dim_ordering='tf', name='avgpooling2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:284: UserWarning: Update your `AveragePooling2D` call to the Keras 2 API: `AveragePooling2D((2, 2), padding="valid", name="avgpooling2d", data_format="channels_first")`
> (2, 2), padding='valid', dim_ordering='th', name='avgpooling2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:291: UserWarning: Update your `AveragePooling2D` call to the Keras 2 API: `AveragePooling2D((2, 2), padding="valid", name="avgpooling2d", data_format=None)`
> (2, 2), padding='valid', dim_ordering='default', name='avgpooling2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:299: UserWarning: Update your `MaxPooling3D` call to the Keras 2 API: `MaxPooling3D(pool_size=(2, 2, 2), name="maxpool3d", padding="valid")`
> pool_size=(2, 2, 2), border_mode='valid', name='maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:311: UserWarning: Update your `MaxPooling3D` call to the Keras 2 API: `MaxPooling3D((2, 2, 2), padding="valid", name="maxpool3d", data_format="channels_last")`
> (2, 2, 2), padding='valid', dim_ordering='tf', name='maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:318: UserWarning: Update your `MaxPooling3D` call to the Keras 2 API: `MaxPooling3D((2, 2, 2), padding="valid", name="maxpool3d", data_format="channels_first")`
> (2, 2, 2), padding='valid', dim_ordering='th', name='maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:325: UserWarning: Update your `MaxPooling3D` call to the Keras 2 API: `MaxPooling3D((2, 2, 2), padding="valid", name="maxpool3d", data_format=None)`
> (2, 2, 2), padding='valid', dim_ordering='default', name='maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:333: UserWarning: Update your `AveragePooling3D` call to the Keras 2 API: `AveragePooling3D(pool_size=(2, 2, 2), name="avgpooling3d", padding="valid")`
> pool_size=(2, 2, 2), border_mode='valid', name='avgpooling3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:346: UserWarning: Update your `AveragePooling3D` call to the Keras 2 API: `AveragePooling3D((2, 2, 2), padding="valid", name="avgpooling3d", data_format="channels_last")`
> (2, 2, 2), padding='valid', dim_ordering='tf', name='avgpooling3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:353: UserWarning: Update your `AveragePooling3D` call to the Keras 2 API: `AveragePooling3D((2, 2, 2), padding="valid", name="avgpooling3d", data_format="channels_first")`
> (2, 2, 2), padding='valid', dim_ordering='th', name='avgpooling3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:360: UserWarning: Update your `AveragePooling3D` call to the Keras 2 API: `AveragePooling3D((2, 2, 2), padding="valid", name="avgpooling3d", data_format=None)`
> (2, 2, 2), padding='valid', dim_ordering='default', name='avgpooling3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:368: UserWarning: Update your `GlobalMaxPooling2D` call to the Keras 2 API: `GlobalMaxPooling2D(name="global_maxpool2d", data_format="channels_last")`
> name='global_maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:374: UserWarning: Update your `GlobalMaxPooling2D` call to the Keras 2 API: `GlobalMaxPooling2D(name="global_maxpool2d", data_format="channels_first")`
> name='global_maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_maxpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:380: UserWarning: Update your `GlobalMaxPooling2D` call to the Keras 2 API: `GlobalMaxPooling2D(name="global_maxpool2d", data_format=None)`
> name='global_maxpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:387: UserWarning: Update your `GlobalAveragePooling2D` call to the Keras 2 API: `GlobalAveragePooling2D(name="global_avgpool2d", data_format="channels_last")`
> name='global_avgpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:393: UserWarning: Update your `GlobalAveragePooling2D` call to the Keras 2 API: `GlobalAveragePooling2D(name="global_avgpool2d", data_format="channels_first")`
> name='global_avgpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_avgpooling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:399: UserWarning: Update your `GlobalAveragePooling2D` call to the Keras 2 API: `GlobalAveragePooling2D(name="global_avgpool2d", data_format=None)`
> name='global_avgpool2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:406: UserWarning: Update your `GlobalMaxPooling3D` call to the Keras 2 API: `GlobalMaxPooling3D(name="global_maxpool3d", data_format="channels_last")`
> name='global_maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:412: UserWarning: Update your `GlobalMaxPooling3D` call to the Keras 2 API: `GlobalMaxPooling3D(name="global_maxpool3d", data_format="channels_first")`
> name='global_maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_maxpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:418: UserWarning: Update your `GlobalMaxPooling3D` call to the Keras 2 API: `GlobalMaxPooling3D(name="global_maxpool3d", data_format=None)`
> name='global_maxpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:425: UserWarning: Update your `GlobalAveragePooling3D` call to the Keras 2 API: `GlobalAveragePooling3D(name="global_avgpool3d", data_format="channels_last")`
> name='global_avgpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:431: UserWarning: Update your `GlobalAveragePooling3D` call to the Keras 2 API: `GlobalAveragePooling3D(name="global_avgpool3d", data_format="channels_first")`
> name='global_avgpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_global_avgpooling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:437: UserWarning: Update your `GlobalAveragePooling3D` call to the Keras 2 API: `GlobalAveragePooling3D(name="global_avgpool3d", data_format=None)`
> name='global_avgpool3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_upsampling1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:443: UserWarning: Update your `UpSampling1D` call to the Keras 2 API: `UpSampling1D(name="us1d", size=3)`
> old_layer = keras.layers.UpSampling1D(length=3, name='us1d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_upsampling2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:451: UserWarning: Update your `UpSampling2D` call to the Keras 2 API: `UpSampling2D((2, 2), name="us2d", data_format="channels_last")`
> old_layer = keras.layers.UpSampling2D((2, 2), dim_ordering='tf', name='us2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_upsampling3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:460: UserWarning: Update your `UpSampling3D` call to the Keras 2 API: `UpSampling3D((2, 2, 2), name="us3d", data_format="channels_last")`
> name='us3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:468: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.Convolution2D(5, 3, 3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:472: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.Convolution2D(5, 3, nb_col=3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:476: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.Convolution2D(5, nb_row=3, nb_col=3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:489: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(5, (3, 3), name="conv", strides=(2, 2), padding="valid", data_format="channels_first", kernel_initializer="normal", kernel_regularizer="l1", bias_regularizer="l2", kernel_constraint="maxnorm", bias_constraint="unitnorm")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:504: UserWarning: Update your `Conv2DTranspose` call to the Keras 2 API: `Conv2DTranspose(5, (3, 3), name="deconv")`
> old_layer = keras.layers.Deconvolution2D(5, 3, 3, (6, 7, 5), name='deconv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:509: UserWarning: Update your `Conv2DTranspose` call to the Keras 2 API: `Conv2DTranspose(5, (3, 3), name="deconv")`
> name='deconv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:514: UserWarning: Update your `Conv2DTranspose` call to the Keras 2 API: `Conv2DTranspose(5, (3, 3), name="deconv")`
> name='deconv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:519: UserWarning: Update your `Conv2DTranspose` call to the Keras 2 API: `Conv2DTranspose(5, (3, 3), name="deconv")`
> output_shape=(6, 7, 5), name='deconv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:533: UserWarning: Update your `Conv2DTranspose` call to the Keras 2 API: `Conv2DTranspose(5, (3, 3), name="conv", strides=(2, 2), padding="valid", data_format="channels_first", kernel_initializer="normal", kernel_regularizer="l1", bias_regularizer="l2", kernel_constraint="maxnorm", bias_constraint="unitnorm")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:553: UserWarning: Update your `Conv1D` call to the Keras 2 API: `Conv1D(5, name="conv", input_shape=(4, 3), kernel_size=3)`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:565: UserWarning: Update your `Conv1D` call to the Keras 2 API: `Conv1D(5, 3, name="conv", strides=2, padding="valid", kernel_initializer="normal", kernel_regularizer="l1", bias_regularizer="l2", kernel_constraint="maxnorm", bias_constraint="unitnorm")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_separable_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:579: UserWarning: Update your `SeparableConv2D` call to the Keras 2 API: `SeparableConv2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.SeparableConv2D(5, 3, 3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_separable_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:583: UserWarning: Update your `SeparableConv2D` call to the Keras 2 API: `SeparableConv2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.SeparableConv2D(5, 3, nb_col=3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_separable_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:587: UserWarning: Update your `SeparableConv2D` call to the Keras 2 API: `SeparableConv2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.SeparableConv2D(5, nb_row=3, nb_col=3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_separable_conv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:600: UserWarning: Update your `SeparableConv2D` call to the Keras 2 API: `SeparableConv2D(5, (3, 3), depthwise_regularizer="l1", depthwise_constraint="maxnorm", name="conv", depthwise_initializer="normal", pointwise_initializer="normal", strides=(2, 2), padding="valid", data_format="channels_first", bias_regularizer="l2", bias_constraint="unitnorm")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:618: UserWarning: Update your `Conv3D` call to the Keras 2 API: `Conv3D(5, (3, 3, 4), name="conv")`
> old_layer = keras.layers.Convolution3D(5, 3, 3, 4, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:622: UserWarning: Update your `Conv3D` call to the Keras 2 API: `Conv3D(5, (3, 3, 4), name="conv")`
> old_layer = keras.layers.Convolution3D(5, 3, 3, kernel_dim3=4, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:629: UserWarning: Update your `Conv3D` call to the Keras 2 API: `Conv3D(5, (3, 3, 4), name="conv")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:637: UserWarning: Update your `Conv3D` call to the Keras 2 API: `Conv3D(5, (3, 3, 4), name="conv")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:650: UserWarning: Update your `Conv3D` call to the Keras 2 API: `Conv3D(5, (3, 3, 4), name="conv", strides=(2, 2, 2), padding="valid", data_format="channels_first", kernel_initializer="normal", kernel_regularizer="l1", bias_regularizer="l2", kernel_constraint="maxnorm", bias_constraint="unitnorm")`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:665: UserWarning: Update your `ConvLSTM2D` call to the Keras 2 API: `ConvLSTM2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.ConvLSTM2D(5, 3, 3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:669: UserWarning: Update your `ConvLSTM2D` call to the Keras 2 API: `ConvLSTM2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.ConvLSTM2D(5, 3, nb_col=3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:673: UserWarning: Update your `ConvLSTM2D` call to the Keras 2 API: `ConvLSTM2D(5, (3, 3), name="conv")`
> old_layer = keras.layers.ConvLSTM2D(5, nb_row=3, nb_col=3, name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:690: UserWarning: Update your `ConvLSTM2D` call to the Keras 2 API: `ConvLSTM2D(5, (3, 3), name="conv", unit_forget_bias=True, strides=(2, 2), padding="valid", data_format="channels_first", kernel_initializer="normal", recurrent_initializer="uniform", kernel_regularizer="l1", recurrent_regularizer="l2", bias_regularizer="l2", recurrent_activation="relu", dropout=0.2, recurrent_dropout=0.1)`
> name='conv')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_batchnorm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:709: UserWarning: Update your `BatchNormalization` call to the Keras 2 API: `BatchNormalization(name="bn")`
> old_layer = keras.layers.BatchNormalization(mode=0, name='bn')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_batchnorm_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:716: UserWarning: Update your `BatchNormalization` call to the Keras 2 API: `BatchNormalization(name="bn", beta_initializer="one", gamma_initializer="uniform")`
> name='bn')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_atrousconv1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/legacy/layers.py:290: UserWarning: The `AtrousConvolution1D` layer has been deprecated. Use instead the `Conv1D` layer with the `dilation_rate` argument.
> warnings.warn('The `AtrousConvolution1D` layer '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_atrousconv1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/legacy/layers.py:294: UserWarning: Update your `Conv1D` call to the Keras 2 API: `Conv1D(5, 3, name="conv", dilation_rate=2, strides=2, padding="valid", kernel_initializer="normal", kernel_regularizer="l1", bias_regularizer="l2", kernel_constraint="maxnorm", bias_constraint="unitnorm")`
> return Conv1D(*args, **kwargs)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_atrousconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/legacy/layers.py:304: UserWarning: The `AtrousConvolution2D` layer has been deprecated. Use instead the `Conv2D` layer with the `dilation_rate` argument.
> warnings.warn('The `AtrousConvolution2D` layer '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_atrousconv2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/legacy/layers.py:308: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(5, (3, 3), name="conv", dilation_rate=(2, 2), strides=(2, 2), padding="valid", data_format="channels_first", kernel_initializer="normal", kernel_regularizer="l1", bias_regularizer="l2", kernel_constraint="maxnorm", bias_constraint="unitnorm")`
> return Conv2D(*args, **kwargs)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_zeropadding2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:780: UserWarning: The `padding` argument in the Keras 2 API no longeraccepts dict types. You can now input argument as: `padding=(top_pad, bottom_pad, left_pad, right_pad)`.
> name='zp2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_zeropadding2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:780: UserWarning: Update your `ZeroPadding2D` call to the Keras 2 API: `ZeroPadding2D(padding=((1, 2), (..., name="zp2d", data_format="channels_last")`
> name='zp2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_zeropadding3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:790: UserWarning: Update your `ZeroPadding3D` call to the Keras 2 API: `ZeroPadding3D((2, 2, 2), name="zp3d", data_format="channels_last")`
> name='zp3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_cropping2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:798: UserWarning: Update your `Cropping2D` call to the Keras 2 API: `Cropping2D(name="c2d", data_format="channels_last")`
> old_layer = keras.layers.Cropping2D(dim_ordering='tf', name='c2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_cropping3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:804: UserWarning: Update your `Cropping3D` call to the Keras 2 API: `Cropping3D(name="c3d", data_format="channels_last")`
> old_layer = keras.layers.Cropping3D(dim_ordering='tf', name='c3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:838: UserWarning: The semantics of the Keras 2 argument `steps_per_epoch` is not the same as the Keras 1 argument `samples_per_epoch`. `steps_per_epoch` is the number of batches to draw from the generator at each epoch. Basically steps_per_epoch = samples_per_epoch/batch_size. Similarly `nb_val_samples`->`validation_steps` and `val_samples`->`steps` arguments have changed. Update your method calls accordingly.
> nb_worker=1, pickle_safe=True, max_q_size=3)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:838: UserWarning: Update your `fit_generator` call to the Keras 2 API: `fit_generator(generator=<generator..., validation_data=<generator..., steps_per_epoch=1, validation_steps=1, workers=1, use_multiprocessing=True, max_queue_size=3)`
> nb_worker=1, pickle_safe=True, max_q_size=3)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:842: UserWarning: The semantics of the Keras 2 argument `steps_per_epoch` is not the same as the Keras 1 argument `samples_per_epoch`. `steps_per_epoch` is the number of batches to draw from the generator at each epoch. Basically steps_per_epoch = samples_per_epoch/batch_size. Similarly `nb_val_samples`->`validation_steps` and `val_samples`->`steps` arguments have changed. Update your method calls accordingly.
> nb_worker=1, pickle_safe=False, max_q_size=3)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:842: UserWarning: Update your `evaluate_generator` call to the Keras 2 API: `evaluate_generator(generator=<generator..., steps=2, workers=1, use_multiprocessing=False, max_queue_size=3)`
> nb_worker=1, pickle_safe=False, max_q_size=3)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:845: UserWarning: The semantics of the Keras 2 argument `steps_per_epoch` is not the same as the Keras 1 argument `samples_per_epoch`. `steps_per_epoch` is the number of batches to draw from the generator at each epoch. Basically steps_per_epoch = samples_per_epoch/batch_size. Similarly `nb_val_samples`->`validation_steps` and `val_samples`->`steps` arguments have changed. Update your method calls accordingly.
> nb_worker=1, pickle_safe=False, max_q_size=3)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_generator_methods_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:845: UserWarning: Update your `predict_generator` call to the Keras 2 API: `predict_generator(generator=<generator..., steps=2, workers=1, use_multiprocessing=False, max_queue_size=3)`
> nb_worker=1, pickle_safe=False, max_q_size=3)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_spatialdropout1d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:849: UserWarning: Update your `SpatialDropout1D` call to the Keras 2 API: `SpatialDropout1D(name="sd1d", rate=0.6)`
> old_layer = keras.layers.SpatialDropout1D(p=0.6, name='sd1d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_spatialdropout2d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:859: UserWarning: Update your `SpatialDropout2D` call to the Keras 2 API: `SpatialDropout2D(name="sd2d", rate=0.5, data_format="channels_last")`
> name='sd2d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py::test_spatialdropout3d_legacy_interface
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:873: UserWarning: Update your `SpatialDropout3D` call to the Keras 2 API: `SpatialDropout3D(name="sd3d", rate=0.5, data_format="channels_last")`
> name='sd3d')
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/layers_test.py::test_highway
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/layers_test.py::test_highway
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/legacy/layers.py:200: UserWarning: The `Highway` layer is deprecated and will be removed after 06/2017.
> warnings.warn('The `Highway` layer is deprecated '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/legacy/layers_test.py::test_maxout_dense
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/legacy/layers.py:74: UserWarning: The `MaxoutDense` layer is deprecated and will be removed after 06/2017.
> warnings.warn('The `MaxoutDense` layer is deprecated '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/utils/io_utils_test.py::test_io_utils
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/utils/io_utils.py:59: H5pyDeprecationWarning: The default file mode will change to 'r' (read-only) in h5py 3.0. To suppress this warning, pass the mode you need to h5py.File(), or set the global default h5.get_config().default_file_mode, or set the environment variable H5PY_DEFAULT_READONLY=1. Available modes are: 'r', 'r+', 'w', 'w-'/'x', 'a'. See the docs for details.
> f = h5py.File(datapath)
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/utils/layer_utils_test.py::test_convert_weights
> .pybuild/cpython3_3.8_keras/build/tests/keras/utils/layer_utils_test.py::test_convert_weights
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/utils/conv_utils.py:82: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
> return np.copy(kernel[slices])
>
> -- Docs: https://docs.pytest.org/en/latest/warnings.html
> ====== 2 failed, 635 passed, 102 skipped, 324 warnings in 1439.05 seconds ======
> E: pybuild pybuild:341: test: plugin custom failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build && py.test-3 -oaddopts=-v --ignore=tests/keras/utils/multi_gpu_test.py --ignore=tests/test_documentation.py --ignore=tests/keras/test_callbacks.py --ignore=tests/integration_tests/test_image_data_tasks.py --ignore=tests/integration_tests/test_temporal_data_tasks.py --ignore=tests/keras/backend/backend_test.py --ignore=tests/integration_tests/imagenet_utils_test.py --ignore=tests/integration_tests/test_datasets.py --ignore=tests/test_doc_auto_generation.py
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.8 3.7" returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2020/02/22/keras_2.2.4-1_unstable.log
A list of current common problems and possible solutions is available at
http://wiki.debian.org/qa.debian.org/FTBFS . You're welcome to contribute!
About the archive rebuild: The rebuild was done on EC2 VM instances from
Amazon Web Services, using a clean, minimal and up-to-date chroot. Every
failed build was retried once to eliminate random failures.
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