Source: keras
Version: 2.3.1+dfsg-1
Severity: serious
Justification: FTBFS on amd64
Tags: bullseye sid ftbfs
Usertags: ftbfs-20200620 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/docs/test_documentation.py
> --ignore=tests/keras/callbacks/callbacks_test.py
> --ignore=tests/keras/metrics_confusion_matrix_test.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/docs/test_doc_auto_generation.py --ignore=tests/test_api.py"
> dh_auto_test
> pybuild --test --test-pytest -i python{version} -p 3.8
> 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/docs/test_documentation.py
> --ignore=tests/keras/callbacks/callbacks_test.py
> --ignore=tests/keras/metrics_confusion_matrix_test.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/docs/test_doc_auto_generation.py --ignore=tests/test_api.py
> ============================= test session starts
> ==============================
> platform linux -- Python 3.8.3, pytest-4.6.11, py-1.8.1, pluggy-0.13.0 --
> /usr/bin/python3
> cachedir: .pytest_cache
> rootdir: /<<PKGBUILDDIR>>
> plugins: flaky-3.6.1
> collecting ... collected 1051 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_masking_is_all_zeros 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
> [ 0%]
> tests/test_loss_weighting.py::test_class_weight_wrong_classes PASSED [
> 0%]
> tests/test_model_pickling.py::test_sequential_model_pickling PASSED [
> 1%]
> tests/test_model_pickling.py::test_sequential_model_pickling_custom_objects
> PASSED [ 1%]
> tests/test_model_pickling.py::test_functional_model_pickling PASSED [
> 1%]
> tests/test_model_pickling.py::test_pickling_multiple_metrics_outputs PASSED [
> 1%]
> tests/test_model_pickling.py::test_pickling_without_compilation PASSED [
> 1%]
> tests/test_model_pickling.py::test_pickling_right_after_compilation PASSED [
> 1%]
> tests/test_model_saving.py::test_sequential_model_saving PASSED [
> 1%]
> tests/test_model_saving.py::test_sequential_model_saving_2 PASSED [
> 1%]
> tests/test_model_saving.py::test_functional_model_saving PASSED [
> 1%]
> tests/test_model_saving.py::test_model_saving_to_pre_created_h5py_file FAILED
> [ 1%]
> tests/test_model_saving.py::test_model_saving_to_binary_stream FAILED [
> 1%]
> tests/test_model_saving.py::test_model_loading_from_binary_stream PASSED [
> 2%]
> tests/test_model_saving.py::test_model_save_load_binary_in_memory FAILED [
> 2%]
> tests/test_model_saving.py::test_saving_multiple_metrics_outputs PASSED [
> 2%]
> tests/test_model_saving.py::test_saving_without_compilation PASSED [
> 2%]
> tests/test_model_saving.py::test_saving_right_after_compilation PASSED [
> 2%]
> tests/test_model_saving.py::test_saving_unused_layers_is_ok PASSED [
> 2%]
> tests/test_model_saving.py::test_loading_weights_by_name_and_reshape PASSED [
> 2%]
> tests/test_model_saving.py::test_loading_weights_by_name_2 PASSED [
> 2%]
> tests/test_model_saving.py::test_loading_weights_by_name_skip_mismatch PASSED
> [ 2%]
> tests/test_model_saving.py::test_saving_lambda_custom_objects PASSED [
> 2%]
> tests/test_model_saving.py::test_saving_lambda_numpy_array_arguments PASSED [
> 3%]
> tests/test_model_saving.py::test_saving_custom_activation_function PASSED [
> 3%]
> tests/test_model_saving.py::test_saving_model_with_long_layer_names PASSED [
> 3%]
> tests/test_model_saving.py::test_saving_model_with_long_weights_names PASSED
> [ 3%]
> tests/test_model_saving.py::test_saving_recurrent_layer_with_init_state
> PASSED [ 3%]
> tests/test_model_saving.py::test_saving_recurrent_layer_without_bias PASSED [
> 3%]
> tests/test_model_saving.py::test_loop_model_saving PASSED [
> 3%]
> tests/test_model_saving.py::test_saving_constant_initializer_with_numpy
> PASSED [ 3%]
> tests/test_model_saving.py::test_save_load_weights_gcs PASSED [
> 3%]
> tests/test_model_saving.py::test_saving_overwrite_option PASSED [
> 3%]
> tests/test_model_saving.py::test_saving_overwrite_option_gcs PASSED [
> 3%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-single-impl1]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-single-impl2]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-bidirectional-impl1]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-from_cudnn-bidirectional-impl2]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-single-impl1]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-single-impl2]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-bidirectional-impl1]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-LSTM-to_cudnn-bidirectional-impl2]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-single-impl1]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-single-impl2]
> SKIPPED [ 4%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-bidirectional-impl1]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-from_cudnn-bidirectional-impl2]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-single-impl1]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-single-impl2]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-bidirectional-impl1]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_plain-GRU-to_cudnn-bidirectional-impl2]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-single-impl1]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-single-impl2]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-bidirectional-impl1]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-from_cudnn-bidirectional-impl2]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-single-impl1]
> SKIPPED [ 5%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-single-impl2]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-bidirectional-impl1]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-LSTM-to_cudnn-bidirectional-impl2]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-single-impl1]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-single-impl2]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-bidirectional-impl1]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-from_cudnn-bidirectional-impl2]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-single-impl1]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-single-impl2]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-bidirectional-impl1]
> SKIPPED [ 6%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_func-model_nested-GRU-to_cudnn-bidirectional-impl2]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-single-impl1]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-single-impl2]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-bidirectional-impl1]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-from_cudnn-bidirectional-impl2]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-single-impl1]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-single-impl2]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-bidirectional-impl1]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-LSTM-to_cudnn-bidirectional-impl2]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-single-impl1]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-single-impl2]
> SKIPPED [ 7%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-bidirectional-impl1]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-from_cudnn-bidirectional-impl2]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-single-impl1]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-single-impl2]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-bidirectional-impl1]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_plain-GRU-to_cudnn-bidirectional-impl2]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-single-impl1]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-single-impl2]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-bidirectional-impl1]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-from_cudnn-bidirectional-impl2]
> SKIPPED [ 8%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-single-impl1]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-single-impl2]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-bidirectional-impl1]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-LSTM-to_cudnn-bidirectional-impl2]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-single-impl1]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-single-impl2]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-bidirectional-impl1]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-from_cudnn-bidirectional-impl2]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-single-impl1]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-single-impl2]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-bidirectional-impl1]
> SKIPPED [ 9%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn[model_seq-model_nested-GRU-to_cudnn-bidirectional-impl2]
> SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[LSTM-from_cudnn]
> SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[LSTM-to_cudnn]
> SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[GRU-from_cudnn]
> SKIPPED [ 10%]
> tests/test_model_saving.py::test_load_weights_between_noncudnn_rnn_time_distributed[GRU-to_cudnn]
> SKIPPED [ 10%]
> tests/test_model_saving.py::test_preprocess_weights_for_loading_gru_incompatible
> SKIPPED [ 10%]
> tests/test_model_saving.py::test_model_saving_with_rnn_initial_state_and_args
> PASSED [ 10%]
> tests/test_multiprocessing.py::test_multiprocessing_training SKIPPED [
> 10%]
> tests/test_multiprocessing.py::test_multiprocessing_training_from_file
> SKIPPED [ 10%]
> tests/test_multiprocessing.py::test_multithreading_from_file SKIPPED [
> 10%]
> tests/test_multiprocessing.py::test_multiprocessing_predicting SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multithreading_predicting SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multiprocessing_evaluating SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multithreading_evaluating SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multiprocessing_fit_error SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multithreading_fit_error SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multiprocessing_evaluate_error SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multithreading_evaluate_error SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multiprocessing_predict_error SKIPPED [
> 11%]
> tests/test_multiprocessing.py::test_multithreading_predict_error SKIPPED [
> 11%]
> tests/integration_tests/applications_test.py::test_applications PASSED [
> 11%]
> tests/integration_tests/test_tensorflow_integration.py::test_tf_optimizer
> SKIPPED [ 12%]
> tests/integration_tests/test_vector_data_tasks.py::test_vector_classification
> PASSED [ 12%]
> tests/integration_tests/test_vector_data_tasks.py::test_vector_classification_functional
> PASSED [ 12%]
> tests/integration_tests/test_vector_data_tasks.py::test_vector_regression
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_with_split_value_error
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_invalid_data
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator_fit
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_class_mode_input
> PASSED [ 12%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.25-12]
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.4-10]
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_directory_iterator_with_validation_split[0.5-8]
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_img_utils
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_random_transforms
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_deterministic_transform
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_batch_standardize
> PASSED [ 13%]
> tests/integration_tests/preprocessing/image_test.py::TestImage::test_load_img
> PASSED [ 13%]
> tests/integration_tests/preprocessing/sequence_test.py::test_pad_sequences
> PASSED [ 13%]
> tests/integration_tests/preprocessing/sequence_test.py::test_pad_sequences_vector
> PASSED [ 13%]
> tests/integration_tests/preprocessing/sequence_test.py::test_make_sampling_table
> PASSED [ 13%]
> tests/integration_tests/preprocessing/sequence_test.py::test_skipgrams PASSED
> [ 14%]
> tests/integration_tests/preprocessing/sequence_test.py::test_remove_long_seq
> PASSED [ 14%]
> tests/integration_tests/preprocessing/sequence_test.py::test_TimeseriesGenerator
> PASSED [ 14%]
> tests/integration_tests/preprocessing/sequence_test.py::test_TimeSeriesGenerator_doesnt_miss_any_sample
> PASSED [ 14%]
> tests/integration_tests/preprocessing/text_test.py::test_one_hot PASSED [
> 14%]
> tests/integration_tests/preprocessing/text_test.py::test_hashing_trick_hash
> PASSED [ 14%]
> tests/integration_tests/preprocessing/text_test.py::test_hashing_trick_md5
> PASSED [ 14%]
> tests/integration_tests/preprocessing/text_test.py::test_tokenizer PASSED [
> 14%]
> tests/integration_tests/preprocessing/text_test.py::test_sequential_fit
> PASSED [ 14%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence
> PASSED [ 14%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence_multichar_split
> PASSED [ 15%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence_unicode
> PASSED [ 15%]
> tests/integration_tests/preprocessing/text_test.py::test_text_to_word_sequence_unicode_multichar_split
> PASSED [ 15%]
> tests/integration_tests/preprocessing/text_test.py::test_tokenizer_unicode
> PASSED [ 15%]
> tests/integration_tests/preprocessing/text_test.py::test_tokenizer_oov_flag
> PASSED [ 15%]
> tests/keras/activations_test.py::test_serialization PASSED [
> 15%]
> tests/keras/activations_test.py::test_get_fn PASSED [
> 15%]
> tests/keras/activations_test.py::test_softmax_valid PASSED [
> 15%]
> tests/keras/activations_test.py::test_softmax_invalid PASSED [
> 15%]
> tests/keras/activations_test.py::test_softmax_3d PASSED [
> 15%]
> tests/keras/activations_test.py::test_time_distributed_softmax PASSED [
> 15%]
> tests/keras/activations_test.py::test_softplus PASSED [
> 16%]
> tests/keras/activations_test.py::test_softsign PASSED [
> 16%]
> tests/keras/activations_test.py::test_sigmoid PASSED [
> 16%]
> tests/keras/activations_test.py::test_hard_sigmoid PASSED [
> 16%]
> tests/keras/activations_test.py::test_relu PASSED [
> 16%]
> tests/keras/activations_test.py::test_elu PASSED [
> 16%]
> tests/keras/activations_test.py::test_selu PASSED [
> 16%]
> tests/keras/activations_test.py::test_tanh PASSED [
> 16%]
> tests/keras/activations_test.py::test_linear PASSED [
> 16%]
> tests/keras/constraints_test.py::test_serialization PASSED [
> 16%]
> tests/keras/constraints_test.py::test_max_norm PASSED [
> 17%]
> tests/keras/constraints_test.py::test_non_neg PASSED [
> 17%]
> tests/keras/constraints_test.py::test_unit_norm PASSED [
> 17%]
> tests/keras/constraints_test.py::test_min_max_norm PASSED [
> 17%]
> tests/keras/initializers_test.py::test_uniform[FC] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_uniform[CONV] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_normal[FC] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_normal[CONV] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_truncated_normal[FC] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_truncated_normal[CONV] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_constant[FC] PASSED [
> 17%]
> tests/keras/initializers_test.py::test_constant[CONV] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_lecun_uniform[FC] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_lecun_uniform[CONV] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_glorot_uniform[FC] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_glorot_uniform[CONV] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_he_uniform[FC] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_he_uniform[CONV] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_lecun_normal[FC] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_lecun_normal[CONV] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_glorot_normal[FC] PASSED [
> 18%]
> tests/keras/initializers_test.py::test_glorot_normal[CONV] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_he_normal[FC] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_he_normal[CONV] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_orthogonal[FC] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_orthogonal[CONV] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_orthogonal_init_does_not_affect_global_rng
> PASSED [ 19%]
> tests/keras/initializers_test.py::test_identity[FC] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_identity[RNN] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_identity[RNN_INVALID] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_identity[CONV] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_zero[FC] PASSED [
> 19%]
> tests/keras/initializers_test.py::test_zero[CONV] PASSED [
> 20%]
> tests/keras/initializers_test.py::test_one[FC] PASSED [
> 20%]
> tests/keras/initializers_test.py::test_one[CONV] PASSED [
> 20%]
> tests/keras/initializers_test.py::test_statefulness[orthogonal] PASSED [
> 20%]
> tests/keras/initializers_test.py::test_statefulness[uniform] PASSED [
> 20%]
> tests/keras/initializers_test.py::test_statefulness[normal] PASSED [
> 20%]
> tests/keras/initializers_test.py::test_statefulness[truncated_normal] PASSED
> [ 20%]
> tests/keras/initializers_test.py::test_statefulness[variance_scaling] PASSED
> [ 20%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[mean_squared_error]
> PASSED [ 20%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[mean_absolute_error]
> PASSED [ 20%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[mean_absolute_percentage_error]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[mean_squared_logarithmic_error]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[squared_hinge]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[hinge]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[categorical_crossentropy]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[binary_crossentropy]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[kullback_leibler_divergence]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[poisson]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[cosine_proximity]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[logcosh]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_3d[categorical_hinge]
> PASSED [ 21%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[mean_squared_error]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[mean_absolute_error]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[mean_absolute_percentage_error]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[mean_squared_logarithmic_error]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[squared_hinge]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[hinge]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[categorical_crossentropy]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[binary_crossentropy]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[kullback_leibler_divergence]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[poisson]
> PASSED [ 22%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[cosine_proximity]
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[logcosh]
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_objective_shapes_2d[categorical_hinge]
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_cce_one_hot PASSED [
> 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_categorical_hinge PASSED
> [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_sparse_categorical_crossentropy
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_sparse_categorical_crossentropy_4d
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_serializing_loss_class
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_serializing_model_with_loss_class
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossFunctions::test_loss_wrapper PASSED [
> 23%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[Hinge]
> PASSED [ 23%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[SquaredHinge]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[CategoricalHinge]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[Poisson]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[LogCosh]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[KLDivergence]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[Huber]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[BinaryCrossentropy]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[MeanSquaredLogarithmicError]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[MeanAbsolutePercentageError]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[MeanAbsoluteError]
> PASSED [ 24%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_3d[MeanSquaredError]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[Hinge]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[SquaredHinge]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[CategoricalHinge]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[Poisson]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[LogCosh]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[KLDivergence]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[Huber]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[BinaryCrossentropy]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[MeanSquaredLogarithmicError]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[MeanAbsolutePercentageError]
> PASSED [ 25%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[MeanAbsoluteError]
> PASSED [ 26%]
> tests/keras/losses_test.py::TestLossClasses::test_objective_shapes_2d[MeanSquaredError]
> PASSED [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_config SKIPPED [
> 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_all_correct_unweighted
> SKIPPED [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_unweighted SKIPPED [
> 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_scalar_weighted
> SKIPPED [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_sample_weighted
> SKIPPED [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_timestep_weighted
> SKIPPED [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_zero_weighted SKIPPED
> [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_invalid_sample_weight
> SKIPPED [ 26%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_no_reduction SKIPPED [
> 27%]
> tests/keras/losses_test.py::TestMeanSquaredError::test_sum_reduction SKIPPED
> [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_config SKIPPED [
> 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_all_correct_unweighted
> SKIPPED [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_unweighted SKIPPED [
> 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_scalar_weighted
> SKIPPED [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_sample_weighted
> SKIPPED [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_timestep_weighted
> SKIPPED [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_zero_weighted SKIPPED
> [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_invalid_sample_weight
> SKIPPED [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_no_reduction SKIPPED
> [ 27%]
> tests/keras/losses_test.py::TestMeanAbsoluteError::test_sum_reduction SKIPPED
> [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_config
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_all_correct_unweighted
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_unweighted
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_scalar_weighted
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_sample_weighted
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_timestep_weighted
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_zero_weighted
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanAbsolutePercentageError::test_no_reduction
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanSquaredLogarithmicError::test_config
> SKIPPED [ 28%]
> tests/keras/losses_test.py::TestMeanSquaredLogarithmicError::test_unweighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestMeanSquaredLogarithmicError::test_scalar_weighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestMeanSquaredLogarithmicError::test_sample_weighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestMeanSquaredLogarithmicError::test_timestep_weighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestMeanSquaredLogarithmicError::test_zero_weighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_config SKIPPED [
> 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_all_correct_unweighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_unweighted SKIPPED [
> 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_scalar_weighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_sample_weighted
> SKIPPED [ 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_no_reduction SKIPPED
> [ 29%]
> tests/keras/losses_test.py::TestBinaryCrossentropy::test_label_smoothing
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_config SKIPPED
> [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_all_correct_unweighted
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_unweighted
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_scalar_weighted
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_sample_weighted
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_no_reduction
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestCategoricalCrossentropy::test_label_smoothing
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestSparseCategoricalCrossentropy::test_config
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestSparseCategoricalCrossentropy::test_all_correct_unweighted
> SKIPPED [ 30%]
> tests/keras/losses_test.py::TestSparseCategoricalCrossentropy::test_unweighted
> SKIPPED [ 31%]
> tests/keras/losses_test.py::TestSparseCategoricalCrossentropy::test_scalar_weighted
> SKIPPED [ 31%]
> tests/keras/losses_test.py::TestSparseCategoricalCrossentropy::test_sample_weighted
> SKIPPED [ 31%]
> tests/keras/losses_test.py::TestSparseCategoricalCrossentropy::test_no_reduction
> SKIPPED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_fit
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_fit_with_sample_weight
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_fit_with_class_weight
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_eval
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_eval_with_sample_weight
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_train_on_batch
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_train_on_batch_with_sample_weight
> PASSED [ 31%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_train_on_batch_with_class_weight
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_test_on_batch
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_test_on_batch_with_sample_weight
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_fit_generator
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_fit_generator_with_sample_weight
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_fit_generator_with_class_weight
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_eval_generator
> PASSED [ 32%]
> tests/keras/metrics_correctness_test.py::TestMetricsCorrectnessMultiIO::test_eval_generator_with_sample_weight
> PASSED [ 32%]
> tests/keras/metrics_functional_test.py::test_metrics[binary_accuracy] PASSED
> [ 32%]
> tests/keras/metrics_functional_test.py::test_metrics[categorical_accuracy]
> PASSED [ 32%]
> tests/keras/metrics_functional_test.py::test_metrics[mean_squared_error]
> PASSED [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[mean_absolute_error]
> PASSED [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[mean_absolute_percentage_error]
> PASSED [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[mean_squared_logarithmic_error]
> PASSED [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[squared_hinge] PASSED [
> 33%]
> tests/keras/metrics_functional_test.py::test_metrics[hinge] PASSED [
> 33%]
> tests/keras/metrics_functional_test.py::test_metrics[categorical_crossentropy]
> PASSED [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[binary_crossentropy]
> PASSED [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[poisson] PASSED [
> 33%]
> tests/keras/metrics_functional_test.py::test_metrics[cosine_proximity] PASSED
> [ 33%]
> tests/keras/metrics_functional_test.py::test_metrics[logcosh] PASSED [
> 33%]
> tests/keras/metrics_functional_test.py::test_sparse_metrics[sparse_categorical_accuracy]
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_sparse_metrics[sparse_categorical_crossentropy]
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_sparse_categorical_accuracy_correctness[shape0]
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_sparse_categorical_accuracy_correctness[shape1]
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_sparse_categorical_accuracy_correctness[shape2]
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_serialize PASSED [
> 34%]
> tests/keras/metrics_functional_test.py::test_invalid_get PASSED [
> 34%]
> tests/keras/metrics_functional_test.py::test_top_k_categorical_accuracy
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_sparse_top_k_categorical_accuracy[y_pred0-y_true0]
> PASSED [ 34%]
> tests/keras/metrics_functional_test.py::test_sparse_top_k_categorical_accuracy[y_pred1-y_true1]
> PASSED [ 34%]
> tests/keras/metrics_test.py::TestSum::test_sum SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestSum::test_sum_with_sample_weight SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestMean::test_mean SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestMean::test_mean_with_sample_weight SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestMean::test_multiple_instances SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestAccuracy::test_accuracy SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestAccuracy::test_binary_accuracy SKIPPED [
> 35%]
> tests/keras/metrics_test.py::TestAccuracy::test_binary_accuracy_threshold
> SKIPPED [ 35%]
> tests/keras/metrics_test.py::TestAccuracy::test_categorical_accuracy SKIPPED
> [ 35%]
> tests/keras/metrics_test.py::TestAccuracy::test_sparse_categorical_accuracy
> SKIPPED [ 35%]
> tests/keras/metrics_test.py::TestAccuracy::test_sparse_categorical_accuracy_mismatched_dims
> SKIPPED [ 35%]
> tests/keras/metrics_test.py::TestMeanSquaredErrorTest::test_config SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestMeanSquaredErrorTest::test_unweighted
> SKIPPED [ 36%]
> tests/keras/metrics_test.py::TestMeanSquaredErrorTest::test_weighted SKIPPED
> [ 36%]
> tests/keras/metrics_test.py::TestHinge::test_config SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestHinge::test_unweighted SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestHinge::test_weighted SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestSquaredHinge::test_config SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestSquaredHinge::test_unweighted SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestSquaredHinge::test_weighted SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestCategoricalHinge::test_config SKIPPED [
> 36%]
> tests/keras/metrics_test.py::TestCategoricalHinge::test_unweighted SKIPPED [
> 37%]
> tests/keras/metrics_test.py::TestCategoricalHinge::test_weighted SKIPPED [
> 37%]
> tests/keras/metrics_test.py::TestTopKCategoricalAccuracy::test_config SKIPPED
> [ 37%]
> tests/keras/metrics_test.py::TestTopKCategoricalAccuracy::test_correctness
> SKIPPED [ 37%]
> tests/keras/metrics_test.py::TestTopKCategoricalAccuracy::test_weighted
> SKIPPED [ 37%]
> tests/keras/metrics_test.py::TestSparseTopKCategoricalAccuracy::test_config
> SKIPPED [ 37%]
> tests/keras/metrics_test.py::TestSparseTopKCategoricalAccuracy::test_correctness
> SKIPPED [ 37%]
> tests/keras/metrics_test.py::TestSparseTopKCategoricalAccuracy::test_weighted
> SKIPPED [ 37%]
> tests/keras/metrics_test.py::TestLogCoshError::test_config SKIPPED [
> 37%]
> tests/keras/metrics_test.py::TestLogCoshError::test_unweighted SKIPPED [
> 37%]
> tests/keras/metrics_test.py::TestLogCoshError::test_weighted SKIPPED [
> 37%]
> tests/keras/metrics_test.py::TestPoisson::test_config SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestPoisson::test_unweighted SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestPoisson::test_weighted SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestKLDivergence::test_config SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestKLDivergence::test_unweighted SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestKLDivergence::test_weighted SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestCosineSimilarity::test_config SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestCosineSimilarity::test_unweighted SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestCosineSimilarity::test_weighted SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestCosineSimilarity::test_axis SKIPPED [
> 38%]
> tests/keras/metrics_test.py::TestMeanAbsoluteError::test_config SKIPPED [
> 39%]
> tests/keras/metrics_test.py::TestMeanAbsoluteError::test_unweighted SKIPPED [
> 39%]
> tests/keras/metrics_test.py::TestMeanAbsoluteError::test_weighted SKIPPED [
> 39%]
> tests/keras/metrics_test.py::TestMeanAbsolutePercentageError::test_config
> SKIPPED [ 39%]
> tests/keras/metrics_test.py::TestMeanAbsolutePercentageError::test_unweighted
> SKIPPED [ 39%]
> tests/keras/metrics_test.py::TestMeanAbsolutePercentageError::test_weighted
> SKIPPED [ 39%]
> tests/keras/metrics_test.py::TestMeanSquaredError::test_config SKIPPED [
> 39%]
> tests/keras/metrics_test.py::TestMeanSquaredError::test_unweighted SKIPPED [
> 39%]
> tests/keras/metrics_test.py::TestMeanSquaredError::test_weighted SKIPPED [
> 39%]
> tests/keras/metrics_test.py::TestMeanSquaredLogarithmicError::test_config
> SKIPPED [ 39%]
> tests/keras/metrics_test.py::TestMeanSquaredLogarithmicError::test_unweighted
> SKIPPED [ 39%]
> tests/keras/metrics_test.py::TestMeanSquaredLogarithmicError::test_weighted
> SKIPPED [ 40%]
> tests/keras/metrics_test.py::TestRootMeanSquaredError::test_config SKIPPED [
> 40%]
> tests/keras/metrics_test.py::TestRootMeanSquaredError::test_unweighted
> SKIPPED [ 40%]
> tests/keras/metrics_test.py::TestRootMeanSquaredError::test_weighted SKIPPED
> [ 40%]
> tests/keras/metrics_test.py::TestBinaryCrossentropy::test_config SKIPPED [
> 40%]
> tests/keras/metrics_test.py::TestBinaryCrossentropy::test_unweighted SKIPPED
> [ 40%]
> tests/keras/metrics_test.py::TestBinaryCrossentropy::test_unweighted_with_logits
> SKIPPED [ 40%]
> tests/keras/metrics_test.py::TestBinaryCrossentropy::test_weighted SKIPPED [
> 40%]
> tests/keras/metrics_test.py::TestBinaryCrossentropy::test_weighted_from_logits
> SKIPPED [ 40%]
> tests/keras/metrics_test.py::TestBinaryCrossentropy::test_label_smoothing
> SKIPPED [ 40%]
> tests/keras/metrics_test.py::TestCategoricalCrossentropy::test_config SKIPPED
> [ 41%]
> tests/keras/metrics_test.py::TestCategoricalCrossentropy::test_unweighted
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestCategoricalCrossentropy::test_unweighted_from_logits
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestCategoricalCrossentropy::test_weighted
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestCategoricalCrossentropy::test_weighted_from_logits
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestCategoricalCrossentropy::test_label_smoothing
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestSparseCategoricalCrossentropy::test_config
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestSparseCategoricalCrossentropy::test_unweighted
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestSparseCategoricalCrossentropy::test_unweighted_from_logits
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestSparseCategoricalCrossentropy::test_weighted
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestSparseCategoricalCrossentropy::test_weighted_from_logits
> SKIPPED [ 41%]
> tests/keras/metrics_test.py::TestSparseCategoricalCrossentropy::test_axis
> SKIPPED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[Accuracy] PASSED
> [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[MeanSquaredError0]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[Hinge] PASSED [
> 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[CategoricalHinge]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[SquaredHinge]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[FalsePositives]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[TruePositives]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[FalseNegatives]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[TrueNegatives]
> PASSED [ 42%]
> tests/keras/metrics_training_test.py::test_training_and_eval[BinaryAccuracy]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[CategoricalAccuracy]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[TopKCategoricalAccuracy]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[LogCoshError]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[Poisson] PASSED
> [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[KLDivergence]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[CosineSimilarity]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[MeanAbsoluteError]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[MeanAbsolutePercentageError]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[MeanSquaredError1]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[MeanSquaredLogarithmicError]
> PASSED [ 43%]
> tests/keras/metrics_training_test.py::test_training_and_eval[RootMeanSquaredError]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_training_and_eval[BinaryCrossentropy]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_training_and_eval[CategoricalCrossentropy]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_training_and_eval[Precision]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_training_and_eval[Recall] PASSED [
> 44%]
> tests/keras/metrics_training_test.py::test_training_and_eval[AUC] PASSED [
> 44%]
> tests/keras/metrics_training_test.py::test_sparse_metrics[SparseCategoricalAccuracy]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_sparse_metrics[SparseTopKCategoricalAccuracy]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_sparse_metrics[SparseCategoricalCrossentropy]
> PASSED [ 44%]
> tests/keras/metrics_training_test.py::test_sensitivity_metrics PASSED [
> 44%]
> tests/keras/metrics_training_test.py::test_mean_iou SKIPPED [
> 45%]
> tests/keras/optimizers_test.py::test_no_grad SKIPPED [
> 45%]
> tests/keras/optimizers_test.py::test_sgd PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_rmsprop PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_adagrad PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_adadelta PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_adam PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_adamax PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_nadam PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_adam_amsgrad PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_clipnorm PASSED [
> 45%]
> tests/keras/optimizers_test.py::test_clipvalue PASSED [
> 46%]
> tests/keras/optimizers_test.py::test_tfoptimizer SKIPPED [
> 46%]
> tests/keras/regularizers_test.py::test_kernel_regularization PASSED [
> 46%]
> tests/keras/regularizers_test.py::test_activity_regularization PASSED [
> 46%]
> tests/keras/regularizers_test.py::test_regularization_shared_layer PASSED [
> 46%]
> tests/keras/regularizers_test.py::test_regularization_shared_model PASSED [
> 46%]
> tests/keras/regularizers_test.py::test_regularization_shared_layer_in_different_models
> PASSED [ 46%]
> tests/keras/test_sequential_model.py::test_sequential_pop PASSED [
> 46%]
> tests/keras/test_sequential_model.py::test_sequential_fit_generator PASSED [
> 46%]
> tests/keras/test_sequential_model.py::test_sequential PASSED [
> 46%]
> tests/keras/test_sequential_model.py::test_nested_sequential PASSED [
> 47%]
> tests/keras/test_sequential_model.py::test_sequential_count_params PASSED [
> 47%]
> tests/keras/test_sequential_model.py::test_nested_sequential_trainability
> PASSED [ 47%]
> tests/keras/test_sequential_model.py::test_rebuild_model PASSED [
> 47%]
> tests/keras/test_sequential_model.py::test_clone_functional_model PASSED [
> 47%]
> tests/keras/test_sequential_model.py::test_clone_functional_model_with_multi_outputs
> PASSED [ 47%]
> tests/keras/test_sequential_model.py::test_clone_sequential_model PASSED [
> 47%]
> tests/keras/test_sequential_model.py::test_sequential_update_disabling PASSED
> [ 47%]
> tests/keras/test_sequential_model.py::test_sequential_deferred_build PASSED [
> 47%]
> tests/keras/test_sequential_model.py::test_nested_sequential_deferred_build
> PASSED [ 47%]
> tests/keras/callbacks/tensorboard_test.py::test_TensorBoard[batch] SKIPPED [
> 47%]
> tests/keras/callbacks/tensorboard_test.py::test_TensorBoard[epoch] SKIPPED [
> 48%]
> tests/keras/callbacks/tensorboard_test.py::test_TensorBoard[9] SKIPPED [
> 48%]
> tests/keras/callbacks/tensorboard_test.py::test_TensorBoard_multi_input_output
> SKIPPED [ 48%]
> tests/keras/callbacks/tensorboard_test.py::test_TensorBoard_convnet SKIPPED [
> 48%]
> tests/keras/callbacks/tensorboard_test.py::test_TensorBoard_display_float_from_logs
> SKIPPED [ 48%]
> tests/keras/datasets/datasets_test.py::test_boston_load_does_not_affect_global_rng
> PASSED [ 48%]
> tests/keras/datasets/datasets_test.py::test_imdb_load_does_not_affect_global_rng
> PASSED [ 48%]
> tests/keras/datasets/datasets_test.py::test_reuters_load_does_not_affect_global_rng
> PASSED [ 48%]
> tests/keras/engine/test_topology.py::test_get_updates_for PASSED [
> 48%]
> tests/keras/engine/test_topology.py::test_get_losses_for PASSED [
> 48%]
> tests/keras/engine/test_topology.py::test_trainable_weights PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_valid_compute_mask PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_invalid_compute_mask PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_get_layer PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_learning_phase PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_layer_call_arguments PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_node_construction PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_multi_input_layer PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_recursion PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_load_layers PASSED [
> 49%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading[GRU]
> PASSED [ 49%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading[LSTM]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading[ConvLSTM2D]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_for_model[Conv2D]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_for_model[Conv2DTranspose]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_rnn_should_be_idempotent[GRU-args0]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_rnn_should_be_idempotent[GRU-args1]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_rnn_should_be_idempotent[LSTM-args2]
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_cudnn_rnn_should_be_idempotent[CuDNNGRU-args0]
> SKIPPED [ 50%]
> tests/keras/engine/test_topology.py::test_preprocess_weights_for_loading_cudnn_rnn_should_be_idempotent[CuDNNLSTM-args1]
> SKIPPED [ 50%]
> tests/keras/engine/test_topology.py::test_recursion_with_bn_and_loss PASSED [
> 50%]
> tests/keras/engine/test_topology.py::test_activity_regularization_with_model_composition
> PASSED [ 50%]
> tests/keras/engine/test_topology.py::test_shared_layer_depth_is_correct
> PASSED [ 51%]
> tests/keras/engine/test_topology.py::test_layer_sharing_at_heterogeneous_depth
> PASSED [ 51%]
> tests/keras/engine/test_topology.py::test_layer_sharing_at_heterogeneous_depth_with_concat
> PASSED [ 51%]
> tests/keras/engine/test_topology.py::test_layer_sharing_at_heterogeneous_depth_order
> PASSED [ 51%]
> tests/keras/engine/test_topology.py::test_multi_output_mask PASSED [
> 51%]
> tests/keras/engine/test_topology.py::test_constant_initializer_with_numpy
> PASSED [ 51%]
> tests/keras/engine/test_topology.py::test_initialization_dtype PASSED [
> 51%]
> tests/keras/engine/test_training.py::test_check_array_length_consistency
> PASSED [ 51%]
> tests/keras/engine/test_training.py::testslice_arrays PASSED [
> 51%]
> tests/keras/engine/test_training.py::test_weighted_masked_objective PASSED [
> 51%]
> tests/keras/engine/test_training.py::test_model_methods PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_fit_generator PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_fit_generator_dynamic_size_sequence_with_workers
> PASSED [ 52%]
> tests/keras/engine/test_training.py::test_fit_generator_dynamic_size_sequence_main_thread
> PASSED [ 52%]
> tests/keras/engine/test_training.py::test_fit_generator_shape PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_training_with_loss_instance PASSED
> [ 52%]
> tests/keras/engine/test_training.py::test_sparse_inputs_targets PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_trainable_argument PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_with_list_as_targets PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_check_not_failing PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_check_last_is_one PASSED [
> 52%]
> tests/keras/engine/test_training.py::test_check_bad_shape PASSED [
> 53%]
> tests/keras/engine/test_training.py::test_model_with_input_feed_tensor
> SKIPPED [ 53%]
> tests/keras/engine/test_training.py::test_model_with_partial_loss PASSED [
> 53%]
> tests/keras/engine/test_training.py::test_model_with_external_loss PASSED [
> 53%]
> tests/keras/engine/test_training.py::test_target_tensors PASSED [
> 53%]
> tests/keras/engine/test_training.py::test_model_custom_target_tensors PASSED
> [ 53%]
> tests/keras/engine/test_training.py::test_trainable_weights_count_consistency
> PASSED [ 53%]
> tests/keras/engine/test_training.py::test_pandas_dataframe PASSED [
> 53%]
> tests/keras/engine/test_training.py::test_training_and_eval_methods_on_symbolic_tensors_single_io
> SKIPPED [ 53%]
> tests/keras/engine/test_training.py::test_training_and_eval_methods_on_symbolic_tensors_multi_io
> SKIPPED [ 53%]
> tests/keras/engine/test_training.py::test_model_with_crossentropy_losses_channels_first
> PASSED [ 54%]
> tests/keras/engine/test_training.py::test_dynamic_set_inputs PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_sample_weights PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_validation_freq PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_loss_correctness PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_model_metrics_list PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_model_metrics_list_in_call PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_duplicate_metric_name_in_add_metric
> PASSED [ 54%]
> tests/keras/engine/test_training.py::test_add_metric_on_model PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_add_metric_in_model_call PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_multiple_add_metric_calls PASSED [
> 54%]
> tests/keras/engine/test_training.py::test_add_metric_in_layer_call PASSED [
> 55%]
> tests/keras/layers/advanced_activations_test.py::test_linear_unit_activations[0.0-LeakyReLU]
> PASSED [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_linear_unit_activations[0.0-ELU]
> PASSED [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_linear_unit_activations[0.5-LeakyReLU]
> PASSED [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_linear_unit_activations[0.5-ELU]
> PASSED [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_linear_unit_activations[-1.0-LeakyReLU]
> PASSED [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_linear_unit_activations[-1.0-ELU]
> PASSED [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_prelu PASSED [
> 55%]
> tests/keras/layers/advanced_activations_test.py::test_prelu_share PASSED [
> 55%]
> tests/keras/layers/advanced_activations_test.py::test_thresholded_relu PASSED
> [ 55%]
> tests/keras/layers/advanced_activations_test.py::test_softmax[1] PASSED [
> 56%]
> tests/keras/layers/advanced_activations_test.py::test_softmax[-1] PASSED [
> 56%]
> tests/keras/layers/advanced_activations_test.py::test_relu PASSED [
> 56%]
> tests/keras/layers/advanced_activations_test.py::test_relu_tf_ops SKIPPED [
> 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[True-True-channels_first]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[True-True-channels_last]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[True-False-channels_first]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[True-False-channels_last]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[False-True-channels_first]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[False-True-channels_last]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[False-False-channels_first]
> PASSED [ 56%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent[False-False-channels_last]
> PASSED [ 57%]
> tests/keras/layers/convolutional_recurrent_test.py::test_convolutional_recurrent_statefulness
> PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_causal_dilated_conv[layer_kwargs0-4-expected_output0]
> PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_causal_dilated_conv[layer_kwargs1-4-expected_output1]
> PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_causal_dilated_conv[layer_kwargs2-10-expected_output2]
> PASSED [ 57%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[valid-1] PASSED [
> 57%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[valid-2] PASSED [
> 57%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[same-1] PASSED [
> 57%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[full-1] PASSED [
> 57%]
> tests/keras/layers/convolutional_test.py::test_conv_1d[full-2] PASSED [
> 57%]
> tests/keras/layers/convolutional_test.py::test_conv_1d_dilation PASSED [
> 58%]
> tests/keras/layers/convolutional_test.py::test_conv_1d_channels_first PASSED
> [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides0-valid]
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides1-valid]
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides2-same]
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides3-full]
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d[strides4-full]
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d_channels_last
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d_dilation PASSED
> [ 58%]
> tests/keras/layers/convolutional_test.py::test_convolution_2d_invalid PASSED
> [ 58%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-None-strides0]
> PASSED [ 58%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-None-strides1]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-out_padding2-strides2]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-out_padding3-strides3]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[valid-out_padding4-strides4]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[same-None-strides5]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[same-out_padding6-strides6]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-None-strides7]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-None-strides8]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-out_padding9-strides9]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-out_padding10-strides10]
> PASSED [ 59%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose[full-out_padding11-strides11]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose_dilation
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose_channels_first
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_conv2d_transpose_invalid
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-1-1]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-1-2]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-2-1]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-1-2-2]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-2-1-1]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[valid-2-2-1]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-1-1]
> PASSED [ 60%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-1-2]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-2-1]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[same-1-2-2]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-1-1]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-1-2]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-2-1]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-1-2-2]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-2-1-1]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d[full-2-2-1]
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d_additional_args
> PASSED [ 61%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_1d_invalid
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides0-1-dilation_rate0]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides1-1-dilation_rate1]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides2-1-dilation_rate2]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides3-2-dilation_rate3]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides4-2-dilation_rate4]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides5-1-dilation_rate5]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[valid-strides6-2-dilation_rate6]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides7-1-dilation_rate7]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides8-1-dilation_rate8]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides9-1-dilation_rate9]
> PASSED [ 62%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides10-2-dilation_rate10]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[same-strides11-2-dilation_rate11]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides12-1-dilation_rate12]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides13-1-dilation_rate13]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides14-1-dilation_rate14]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides15-2-dilation_rate15]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides16-2-dilation_rate16]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides17-1-dilation_rate17]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d[full-strides18-2-dilation_rate18]
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d_additional_args
> PASSED [ 63%]
> tests/keras/layers/convolutional_test.py::test_separable_conv_2d_invalid
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides0-1-dilation_rate0]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides1-1-dilation_rate1]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides2-1-dilation_rate2]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides3-2-dilation_rate3]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides4-2-dilation_rate4]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides5-1-dilation_rate5]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[valid-strides6-2-dilation_rate6]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides7-1-dilation_rate7]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides8-1-dilation_rate8]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides9-1-dilation_rate9]
> PASSED [ 64%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides10-2-dilation_rate10]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[same-strides11-2-dilation_rate11]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides12-1-dilation_rate12]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides13-1-dilation_rate13]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides14-1-dilation_rate14]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides15-2-dilation_rate15]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides16-2-dilation_rate16]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides17-1-dilation_rate17]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d[full-strides18-2-dilation_rate18]
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d_additional_args
> PASSED [ 65%]
> tests/keras/layers/convolutional_test.py::test_depthwise_conv_2d_invalid
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[valid-strides0]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[valid-strides1]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[same-strides2]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[full-strides3]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d[full-strides4]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_convolution_3d_additional_args
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides0-channels_first]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides1-channels_last]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides2-channels_first]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-None-strides3-channels_last]
> PASSED [ 66%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding4-strides4-channels_first]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding5-strides5-channels_last]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding6-strides6-channels_first]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding7-strides7-channels_last]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding8-strides8-channels_first]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[valid-out_padding9-strides9-channels_last]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-None-strides10-channels_first]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-None-strides11-channels_last]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-out_padding12-strides12-channels_first]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[same-out_padding13-strides13-channels_last]
> PASSED [ 67%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides14-channels_first]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides15-channels_last]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides16-channels_first]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-None-strides17-channels_last]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding18-strides18-channels_first]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding19-strides19-channels_last]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding20-strides20-channels_first]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding21-strides21-channels_last]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding22-strides22-channels_first]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose[full-out_padding23-strides23-channels_last]
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose_additional_args
> PASSED [ 68%]
> tests/keras/layers/convolutional_test.py::test_conv3d_transpose_invalid
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_1d PASSED [
> 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_first-padding0]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_first-padding1]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_last-padding2]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d[channels_last-padding3]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d_correctness[channels_first]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_2d_correctness[channels_last]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_first-padding0]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_first-padding1]
> PASSED [ 69%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_last-padding2]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d[channels_last-padding3]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d_correctness[channels_first]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_zero_padding_3d_correctness[channels_last]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_1d PASSED [
> 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d[channels_first]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d[channels_last]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d_bilinear[channels_first]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_2d_bilinear[channels_last]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_3d[channels_first]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_upsampling_3d[channels_last]
> PASSED [ 70%]
> tests/keras/layers/convolutional_test.py::test_cropping_1d PASSED [
> 71%]
> tests/keras/layers/convolutional_test.py::test_cropping_2d PASSED [
> 71%]
> tests/keras/layers/convolutional_test.py::test_cropping_3d PASSED [
> 71%]
> tests/keras/layers/convolutional_test.py::test_conv_float64[input_shape0-Conv1D]
> PASSED [ 71%]
> tests/keras/layers/convolutional_test.py::test_conv_float64[input_shape1-Conv2D]
> PASSED [ 71%]
> tests/keras/layers/convolutional_test.py::test_conv_float64[input_shape2-Conv3D]
> PASSED [ 71%]
> tests/keras/layers/core_test.py::test_masking PASSED [
> 71%]
> tests/keras/layers/core_test.py::test_dropout PASSED [
> 71%]
> tests/keras/layers/core_test.py::test_activation PASSED [
> 71%]
> tests/keras/layers/core_test.py::test_reshape[target_shape0-input_shape0]
> PASSED [ 71%]
> tests/keras/layers/core_test.py::test_reshape[target_shape1-input_shape1]
> PASSED [ 72%]
> tests/keras/layers/core_test.py::test_reshape[target_shape2-input_shape2]
> PASSED [ 72%]
> tests/keras/layers/core_test.py::test_reshape[target_shape3-input_shape3]
> PASSED [ 72%]
> tests/keras/layers/core_test.py::test_permute PASSED [
> 72%]
> tests/keras/layers/core_test.py::test_flatten PASSED [
> 72%]
> tests/keras/layers/core_test.py::test_repeat_vector PASSED [
> 72%]
> tests/keras/layers/core_test.py::test_lambda PASSED [
> 72%]
> tests/keras/layers/core_test.py::test_lambda_output_shape SKIPPED [
> 72%]
> tests/keras/layers/core_test.py::test_dense PASSED [
> 72%]
> tests/keras/layers/core_test.py::test_activity_regularization PASSED [
> 72%]
> tests/keras/layers/core_test.py::test_sequential_as_downstream_of_masking_layer
> PASSED [ 72%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_canonical_to_params_lstm
> SKIPPED [ 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_canonical_to_params_gru
> SKIPPED [ 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_timing[LSTM]
> SKIPPED [ 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_timing[GRU]
> SKIPPED [ 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnn_rnn_basics SKIPPED [
> 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_trainability SKIPPED [
> 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_regularizer SKIPPED [
> 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_return_state SKIPPED [
> 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_specify_initial_state_keras_tensor
> SKIPPED [ 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_statefulness SKIPPED [
> 73%]
> tests/keras/layers/cudnn_recurrent_test.py::test_cudnnrnn_bidirectional
> SKIPPED [ 74%]
> tests/keras/layers/embeddings_test.py::test_embedding PASSED [
> 74%]
> tests/keras/layers/embeddings_test.py::test_embedding_invalid[input_shape0]
> PASSED [ 74%]
> tests/keras/layers/embeddings_test.py::test_embedding_invalid[input_shape1]
> PASSED [ 74%]
> tests/keras/layers/local_test.py::test_locallyconnected_1d PASSED [
> 74%]
> tests/keras/layers/local_test.py::test_locallyconnected_2d PASSED [
> 74%]
> tests/keras/layers/merge_test.py::test_merge_add PASSED [
> 74%]
> tests/keras/layers/merge_test.py::test_merge_subtract PASSED [
> 74%]
> tests/keras/layers/merge_test.py::test_merge_multiply PASSED [
> 74%]
> tests/keras/layers/merge_test.py::test_merge_average PASSED [
> 74%]
> tests/keras/layers/merge_test.py::test_merge_maximum PASSED [
> 74%]
> tests/keras/layers/merge_test.py::test_merge_minimum PASSED [
> 75%]
> tests/keras/layers/merge_test.py::test_merge_concatenate PASSED [
> 75%]
> tests/keras/layers/merge_test.py::test_merge_dot PASSED [
> 75%]
> tests/keras/layers/merge_test.py::test_merge_broadcast PASSED [
> 75%]
> tests/keras/layers/merge_test.py::test_masking_concatenate PASSED [
> 75%]
> tests/keras/layers/noise_test.py::test_GaussianNoise PASSED [
> 75%]
> tests/keras/layers/noise_test.py::test_GaussianDropout PASSED [
> 75%]
> tests/keras/layers/noise_test.py::test_AlphaDropout PASSED [
> 75%]
> tests/keras/layers/normalization_test.py::test_basic_batchnorm PASSED [
> 75%]
> tests/keras/layers/normalization_test.py::test_batchnorm_correctness_1d
> PASSED [ 75%]
> tests/keras/layers/normalization_test.py::test_batchnorm_correctness_2d
> PASSED [ 76%]
> tests/keras/layers/normalization_test.py::test_batchnorm_training_argument
> PASSED [ 76%]
> tests/keras/layers/normalization_test.py::test_batchnorm_mode_twice PASSED [
> 76%]
> tests/keras/layers/normalization_test.py::test_batchnorm_convnet PASSED [
> 76%]
> tests/keras/layers/normalization_test.py::test_batchnorm_convnet_no_center_no_scale
> SKIPPED [ 76%]
> tests/keras/layers/normalization_test.py::test_shared_batchnorm PASSED [
> 76%]
> tests/keras/layers/normalization_test.py::test_that_trainable_disables_updates
> PASSED [ 76%]
> tests/keras/layers/normalization_test.py::test_batchnorm_trainable PASSED [
> 76%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-1-channels_first]
> PASSED [ 76%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-1-channels_last]
> PASSED [ 76%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-2-channels_first]
> PASSED [ 76%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[valid-2-channels_last]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-1-channels_first]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-1-channels_last]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-2-channels_first]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_1d[same-2-channels_last]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_2d[strides0] PASSED [
> 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_2d[strides1] PASSED [
> 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_3d[2-None-input_shape0]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_maxpooling_3d[3-channels_first-input_shape1]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-1-channels_first]
> PASSED [ 77%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-1-channels_last]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-2-channels_first]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[valid-2-channels_last]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-1-channels_first]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-1-channels_last]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-2-channels_first]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_1d[same-2-channels_last]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_2d[strides0-same-None-input_shape0]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_2d[strides1-valid-None-input_shape1]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_2d[strides2-valid-channels_first-input_shape2]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_3d[2-None-input_shape0]
> PASSED [ 78%]
> tests/keras/layers/pooling_test.py::test_averagepooling_3d[3-channels_first-input_shape1]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_first-GlobalMaxPooling1D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_first-GlobalAveragePooling1D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_last-GlobalMaxPooling1D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d[channels_last-GlobalAveragePooling1D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_1d_supports_masking
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_first-GlobalMaxPooling2D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_first-GlobalAveragePooling2D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_last-GlobalMaxPooling2D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_2d[channels_last-GlobalAveragePooling2D]
> PASSED [ 79%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_first-GlobalMaxPooling3D]
> PASSED [ 80%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_first-GlobalAveragePooling3D]
> PASSED [ 80%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_last-GlobalMaxPooling3D]
> PASSED [ 80%]
> tests/keras/layers/pooling_test.py::test_globalpooling_3d[channels_last-GlobalAveragePooling3D]
> PASSED [ 80%]
> tests/keras/layers/recurrent_test.py::test_return_sequences[SimpleRNN] PASSED
> [ 80%]
> tests/keras/layers/recurrent_test.py::test_return_sequences[GRU] PASSED [
> 80%]
> tests/keras/layers/recurrent_test.py::test_return_sequences[LSTM] PASSED [
> 80%]
> tests/keras/layers/recurrent_test.py::test_dynamic_behavior[SimpleRNN] PASSED
> [ 80%]
> tests/keras/layers/recurrent_test.py::test_dynamic_behavior[GRU] PASSED [
> 80%]
> tests/keras/layers/recurrent_test.py::test_dynamic_behavior[LSTM] PASSED [
> 80%]
> tests/keras/layers/recurrent_test.py::test_stateful_invalid_use[SimpleRNN]
> PASSED [ 80%]
> tests/keras/layers/recurrent_test.py::test_stateful_invalid_use[GRU] PASSED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_stateful_invalid_use[LSTM] PASSED
> [ 81%]
> tests/keras/layers/recurrent_test.py::test_dropout[SimpleRNN] SKIPPED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_dropout[GRU] SKIPPED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_dropout[LSTM] SKIPPED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_statefulness[SimpleRNN] PASSED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_statefulness[GRU] PASSED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_statefulness[LSTM] PASSED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness[SimpleRNN]
> PASSED [ 81%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness[GRU] PASSED [
> 81%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness[LSTM] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness_output_not_equal_to_first_state
> PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_masking_correctness_output_size_not_equal_to_first_state_size
> PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_implementation_mode[SimpleRNN]
> PASSED [ 82%]
> tests/keras/layers/recurrent_test.py::test_implementation_mode[GRU] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_implementation_mode[LSTM] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_regularizer[SimpleRNN] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_regularizer[GRU] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_regularizer[LSTM] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_trainability[SimpleRNN] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_trainability[GRU] PASSED [
> 82%]
> tests/keras/layers/recurrent_test.py::test_trainability[LSTM] PASSED [
> 83%]
> tests/keras/layers/recurrent_test.py::test_masking_layer PASSED [
> 83%]
> tests/keras/layers/recurrent_test.py::test_from_config[SimpleRNN] PASSED [
> 83%]
> tests/keras/layers/recurrent_test.py::test_from_config[GRU] PASSED [
> 83%]
> tests/keras/layers/recurrent_test.py::test_from_config[LSTM] PASSED [
> 83%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_keras_tensor[SimpleRNN]
> PASSED [ 83%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_keras_tensor[GRU]
> PASSED [ 83%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_keras_tensor[LSTM]
> PASSED [ 83%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_non_keras_tensor[SimpleRNN]
> PASSED [ 83%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_non_keras_tensor[GRU]
> PASSED [ 83%]
> tests/keras/layers/recurrent_test.py::test_specify_initial_state_non_keras_tensor[LSTM]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_reset_states_with_values[SimpleRNN]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_reset_states_with_values[GRU]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_reset_states_with_values[LSTM]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_initial_states_as_other_inputs[SimpleRNN]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_initial_states_as_other_inputs[GRU]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_initial_states_as_other_inputs[LSTM]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_specify_state_with_masking[SimpleRNN]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_specify_state_with_masking[GRU]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_specify_state_with_masking[LSTM]
> PASSED [ 84%]
> tests/keras/layers/recurrent_test.py::test_return_state[SimpleRNN] PASSED [
> 84%]
> tests/keras/layers/recurrent_test.py::test_return_state[GRU] PASSED [
> 85%]
> tests/keras/layers/recurrent_test.py::test_return_state[LSTM] PASSED [
> 85%]
> tests/keras/layers/recurrent_test.py::test_state_reuse[SimpleRNN] PASSED [
> 85%]
> tests/keras/layers/recurrent_test.py::test_state_reuse[GRU] PASSED [
> 85%]
> tests/keras/layers/recurrent_test.py::test_state_reuse[LSTM] PASSED [
> 85%]
> tests/keras/layers/recurrent_test.py::test_state_reuse_with_dropout[SimpleRNN]
> SKIPPED [ 85%]
> tests/keras/layers/recurrent_test.py::test_state_reuse_with_dropout[GRU]
> SKIPPED [ 85%]
> tests/keras/layers/recurrent_test.py::test_state_reuse_with_dropout[LSTM]
> SKIPPED [ 85%]
> tests/keras/layers/recurrent_test.py::test_minimal_rnn_cell_non_layer PASSED
> [ 85%]
> tests/keras/layers/recurrent_test.py::test_minimal_rnn_cell_non_layer_multiple_states
> PASSED [ 85%]
> tests/keras/layers/recurrent_test.py::test_minimal_rnn_cell_layer PASSED [
> 86%]
> tests/keras/layers/recurrent_test.py::test_builtin_rnn_cell_layer[SimpleRNNCell]
> PASSED [ 86%]
> tests/keras/layers/recurrent_test.py::test_builtin_rnn_cell_layer[GRUCell]
> PASSED [ 86%]
> tests/keras/layers/recurrent_test.py::test_builtin_rnn_cell_layer[LSTMCell]
> PASSED [ 86%]
> tests/keras/layers/recurrent_test.py::test_stacked_rnn_dropout SKIPPED [
> 86%]
> tests/keras/layers/recurrent_test.py::test_stacked_rnn_attributes PASSED [
> 86%]
> tests/keras/layers/recurrent_test.py::test_stacked_rnn_compute_output_shape
> PASSED [ 86%]
> tests/keras/layers/recurrent_test.py::test_batch_size_equal_one[SimpleRNN]
> PASSED [ 86%]
> tests/keras/layers/recurrent_test.py::test_batch_size_equal_one[GRU] PASSED [
> 86%]
> tests/keras/layers/recurrent_test.py::test_batch_size_equal_one[LSTM] PASSED
> [ 86%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_with_constants_layer
> PASSED [ 86%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_with_constants_layer_passing_initial_state
> PASSED [ 87%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_identity_initializer[SimpleRNN]
> PASSED [ 87%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_identity_initializer[GRU]
> PASSED [ 87%]
> tests/keras/layers/recurrent_test.py::test_rnn_cell_identity_initializer[LSTM]
> PASSED [ 87%]
> tests/keras/layers/recurrent_test.py::test_inconsistent_output_state_size
> PASSED [ 87%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed PASSED [
> 87%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_learning_phase
> PASSED [ 87%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_trainable PASSED [
> 87%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_with_masked_embedding_and_unspecified_shape
> PASSED [ 87%]
> tests/keras/layers/wrappers_test.py::test_TimeDistributed_with_masking_layer
> PASSED [ 87%]
> tests/keras/layers/wrappers_test.py::test_regularizers PASSED [
> 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional PASSED [
> 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dynamic_timesteps
> PASSED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[sum]
> PASSED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[mul]
> PASSED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[ave]
> PASSED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[concat]
> PASSED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_merged_value[None]
> PASSED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dropout[sum] SKIPPED
> [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dropout[concat]
> SKIPPED [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_dropout[None] SKIPPED
> [ 88%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_state_reuse PASSED [
> 89%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_with_constants PASSED
> [ 89%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_with_constants_layer_passing_initial_state
> PASSED [ 89%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_trainable PASSED [
> 89%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_updates PASSED [
> 89%]
> tests/keras/layers/wrappers_test.py::test_Bidirectional_losses PASSED [
> 89%]
> tests/keras/legacy/interface_test.py::test_dense_legacy_interface PASSED [
> 89%]
> tests/keras/legacy/interface_test.py::test_dropout_legacy_interface PASSED [
> 89%]
> tests/keras/legacy/interface_test.py::test_embedding_legacy_interface PASSED
> [ 89%]
> tests/keras/legacy/interface_test.py::test_maxpooling1d_legacy_interface
> PASSED [ 89%]
> tests/keras/legacy/interface_test.py::test_avgpooling1d_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_prelu_legacy_interface PASSED [
> 90%]
> tests/keras/legacy/interface_test.py::test_gaussiannoise_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_lstm_legacy_interface PASSED [
> 90%]
> tests/keras/legacy/interface_test.py::test_simplernn_legacy_interface PASSED
> [ 90%]
> tests/keras/legacy/interface_test.py::test_gru_legacy_interface PASSED [
> 90%]
> tests/keras/legacy/interface_test.py::test_gaussiandropout_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_maxpooling2d_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_avgpooling2d_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_maxpooling3d_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_avgpooling3d_legacy_interface
> PASSED [ 90%]
> tests/keras/legacy/interface_test.py::test_global_maxpooling2d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_global_avgpooling2d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_global_maxpooling3d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_global_avgpooling3d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_upsampling1d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_upsampling2d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_upsampling3d_legacy_interface
> PASSED [ 91%]
> tests/keras/legacy/interface_test.py::test_conv2d_legacy_interface PASSED [
> 91%]
> tests/keras/legacy/interface_test.py::test_deconv2d_legacy_interface PASSED [
> 91%]
> tests/keras/legacy/interface_test.py::test_conv1d_legacy_interface PASSED [
> 91%]
> tests/keras/legacy/interface_test.py::test_separable_conv2d_legacy_interface
> PASSED [ 92%]
> tests/keras/legacy/interface_test.py::test_conv3d_legacy_interface PASSED [
> 92%]
> tests/keras/legacy/interface_test.py::test_convlstm2d_legacy_interface PASSED
> [ 92%]
> tests/keras/legacy/interface_test.py::test_batchnorm_legacy_interface PASSED
> [ 92%]
> tests/keras/legacy/interface_test.py::test_atrousconv1d_legacy_interface
> PASSED [ 92%]
> tests/keras/legacy/interface_test.py::test_atrousconv2d_legacy_interface
> PASSED [ 92%]
> tests/keras/legacy/interface_test.py::test_zeropadding2d_legacy_interface
> PASSED [ 92%]
> tests/keras/legacy/interface_test.py::test_zeropadding3d_legacy_interface
> PASSED [ 92%]
> tests/keras/legacy/interface_test.py::test_cropping2d_legacy_interface PASSED
> [ 92%]
> tests/keras/legacy/interface_test.py::test_cropping3d_legacy_interface PASSED
> [ 92%]
> tests/keras/legacy/interface_test.py::test_spatialdropout1d_legacy_interface
> PASSED [ 92%]
> tests/keras/legacy/interface_test.py::test_spatialdropout2d_legacy_interface
> PASSED [ 93%]
> tests/keras/legacy/interface_test.py::test_spatialdropout3d_legacy_interface
> PASSED [ 93%]
> tests/keras/legacy/layers_test.py::test_highway PASSED [
> 93%]
> tests/keras/legacy/layers_test.py::test_maxout_dense PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_normalize_tuple PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_invalid_data_format PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_invalid_padding PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_invalid_convert_kernel PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_conv_output_length PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_conv_input_length PASSED [
> 93%]
> tests/keras/utils/conv_utils_test.py::test_deconv_length PASSED [
> 94%]
> tests/keras/utils/data_utils_test.py::test_data_utils PASSED [
> 94%]
> tests/keras/utils/data_utils_test.py::test_generator_enqueuer_threads PASSED
> [ 94%]
> tests/keras/utils/data_utils_test.py::test_generator_enqueuer_threadsafe
> PASSED [ 94%]
> tests/keras/utils/data_utils_test.py::test_generator_enqueuer_fail_threads
> PASSED [ 94%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_threads PASSED [
> 94%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_threads_not_ordered
> PASSED [ 94%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_processes PASSED
> [ 94%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_fail_threads
> PASSED [ 94%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_timeout_threads
> PASSED [ 94%]
> 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 [
> 95%]
> tests/keras/utils/data_utils_test.py::test_on_epoch_end_threads PASSED [
> 95%]
> tests/keras/utils/data_utils_test.py::test_on_epoch_end_threads_sequence_change_length
> PASSED [ 95%]
> tests/keras/utils/data_utils_test.py::test_ordered_enqueuer_fail_processes
> PASSED [ 95%]
> tests/keras/utils/data_utils_test.py::test_finite_generator_enqueuer_threads
> PASSED [ 95%]
> tests/keras/utils/generic_utils_test.py::test_progbar PASSED [
> 95%]
> tests/keras/utils/generic_utils_test.py::test_custom_objects_scope PASSED [
> 95%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x)-x-False-True]
> PASSED [ 95%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x)-y-False-False]
> PASSED [ 95%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x)-y-True-False]
> PASSED [ 95%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, y)-y-False-True]
> PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, y=1)-y-False-True]
> PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x,
> **kwargs)-x-False-True] PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x,
> **kwargs)-y-False-False] PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x,
> **kwargs)-y-True-True] PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, y=1,
> **kwargs)-y-False-True] PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, *args,
> y=1)-y-False-True] PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[f(x, *args,
> y=1)-z-True-False] PASSED [ 96%]
> 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%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[<lambda>-x-False-True]
> PASSED [ 96%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[<lambda>-y-False-False]
> PASSED [ 97%]
> tests/keras/utils/generic_utils_test.py::test_has_arg[<lambda>-y-True-False]
> PASSED [ 97%]
> tests/keras/utils/generic_utils_test.py::test_has_arg_positional_only PASSED
> [ 97%]
> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load[simple
> function] PASSED [ 97%]
> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load[closured
> function] PASSED [ 97%]
> 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%]
> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load_backwards_compat[argmax]
> PASSED [ 97%]
> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load_backwards_compat[<lambda>0]
> PASSED [ 97%]
> tests/keras/utils/generic_utils_test.py::test_func_dump_and_load_backwards_compat[<lambda>1]
> PASSED [ 97%]
> tests/keras/utils/io_utils_test.py::test_io_utils PASSED [
> 98%]
> tests/keras/utils/io_utils_test.py::test_ask_to_proceed_with_overwrite PASSED
> [ 98%]
> tests/keras/utils/io_utils_test.py::test_H5Dict_attrs PASSED [
> 98%]
> tests/keras/utils/io_utils_test.py::test_H5Dict_groups PASSED [
> 98%]
> tests/keras/utils/io_utils_test.py::test_H5Dict_accepts_pathlib_Path PASSED [
> 98%]
> tests/keras/utils/io_utils_test.py::test_save_to_binary_h5py_direct_to_file
> FAILED [ 98%]
> tests/keras/utils/io_utils_test.py::test_save_to_binary_h5py_to_bytes_io
> FAILED [ 98%]
> tests/keras/utils/io_utils_test.py::test_load_from_binary_h5py_direct_from_file
> PASSED [ 98%]
> tests/keras/utils/io_utils_test.py::test_load_from_binary_h5py_from_bytes_io
> PASSED [ 98%]
> tests/keras/utils/io_utils_test.py::test_save_load_binary_h5py FAILED [
> 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/utils/vis_utils_test.py::test_plot_sequential_embedding 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 [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_regression_predict_shape_correct_num_test_0
> PASSED [ 99%]
> tests/keras/wrappers/scikit_learn_test.py::test_regression_predict_shape_correct_num_test_1
> PASSED [100%]
>
> =================================== FAILURES
> ===================================
> __________________ test_model_saving_to_pre_created_h5py_file
> __________________
>
> def test_model_saving_to_pre_created_h5py_file():
> model, x = _get_sample_model_and_input()
>
> out = model.predict(x)
> _, fname = tempfile.mkstemp('.h5')
> with h5py.File(fname, mode='r+') as h5file:
> save_model(model, h5file)
> loaded_model = load_model(h5file)
> out2 = loaded_model.predict(x)
> assert_allclose(out, out2, atol=1e-05)
>
> # test non-default options in h5
> > with h5py.File('does not matter', driver='core',
> backing_store=False) as h5file:
>
> tests/test_model_saving.py:159:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:387: in
> __init__
> fid = make_fid(name, mode, userblock_size,
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:173: in
> make_fid
> fid = h5f.open(name, flags, fapl=fapl)
> h5py/_debian_h5py_serial/_objects.pyx:54: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> h5py/_debian_h5py_serial/_objects.pyx:55: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> > ???
> E OSError: Unable to open file (unable to open file)
>
> h5py/_debian_h5py_serial/h5f.pyx:88: OSError
> ______________________ test_model_saving_to_binary_stream
> ______________________
>
> def test_model_saving_to_binary_stream():
> model, x = _get_sample_model_and_input()
> out = model.predict(x)
>
> with temp_filename('h5') as fname:
> # save directly to binary file
> with open(fname, 'wb') as raw_file:
> > save_model(model, raw_file)
>
> tests/test_model_saving.py:192:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> keras/engine/saving.py:449: in save_wrapper
> save_function(obj, filepath, overwrite, *args, **kwargs)
> keras/engine/saving.py:546: in save_model
> save_to_binary_h5py(save_function, filepath)
> keras/utils/io_utils.py:416: in save_to_binary_h5py
> with h5py.File('in-memory-h5py', driver='core', backing_store=False) as
> h5file:
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:387: in
> __init__
> fid = make_fid(name, mode, userblock_size,
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:173: in
> make_fid
> fid = h5f.open(name, flags, fapl=fapl)
> h5py/_debian_h5py_serial/_objects.pyx:54: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> h5py/_debian_h5py_serial/_objects.pyx:55: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> > ???
> E OSError: Unable to open file (unable to open file)
>
> h5py/_debian_h5py_serial/h5f.pyx:88: OSError
> ____________________ test_model_save_load_binary_in_memory
> _____________________
>
> def test_model_save_load_binary_in_memory():
> model, x = _get_sample_model_and_input()
> out = model.predict(x)
>
> stream = io.BytesIO()
> > save_model(model, stream)
>
> tests/test_model_saving.py:220:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> keras/engine/saving.py:449: in save_wrapper
> save_function(obj, filepath, overwrite, *args, **kwargs)
> keras/engine/saving.py:546: in save_model
> save_to_binary_h5py(save_function, filepath)
> keras/utils/io_utils.py:416: in save_to_binary_h5py
> with h5py.File('in-memory-h5py', driver='core', backing_store=False) as
> h5file:
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:387: in
> __init__
> fid = make_fid(name, mode, userblock_size,
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:173: in
> make_fid
> fid = h5f.open(name, flags, fapl=fapl)
> h5py/_debian_h5py_serial/_objects.pyx:54: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> h5py/_debian_h5py_serial/_objects.pyx:55: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> > ???
> E OSError: Unable to open file (unable to open file)
>
> h5py/_debian_h5py_serial/h5f.pyx:88: OSError
> ___________________ test_save_to_binary_h5py_direct_to_file
> ____________________
>
> def test_save_to_binary_h5py_direct_to_file():
> data = np.random.random((3, 5))
>
> def save_function(h5file_):
> h5file_['data'] = data
>
> with temp_filename('.h5') as fname:
> with open(fname, 'wb') as f:
> > save_to_binary_h5py(save_function, f)
>
> tests/keras/utils/io_utils_test.py:260:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> keras/utils/io_utils.py:416: in save_to_binary_h5py
> with h5py.File('in-memory-h5py', driver='core', backing_store=False) as
> h5file:
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:387: in
> __init__
> fid = make_fid(name, mode, userblock_size,
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:173: in
> make_fid
> fid = h5f.open(name, flags, fapl=fapl)
> h5py/_debian_h5py_serial/_objects.pyx:54: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> h5py/_debian_h5py_serial/_objects.pyx:55: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> > ???
> E OSError: Unable to open file (unable to open file)
>
> h5py/_debian_h5py_serial/h5f.pyx:88: OSError
> _____________________ test_save_to_binary_h5py_to_bytes_io
> _____________________
>
> def test_save_to_binary_h5py_to_bytes_io():
> data = np.random.random((3, 5))
>
> def save_function(h5file_):
> h5file_['data'] = data
>
> file_like = io.BytesIO()
> > save_to_binary_h5py(save_function, file_like)
>
> tests/keras/utils/io_utils_test.py:275:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> keras/utils/io_utils.py:416: in save_to_binary_h5py
> with h5py.File('in-memory-h5py', driver='core', backing_store=False) as
> h5file:
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:387: in
> __init__
> fid = make_fid(name, mode, userblock_size,
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:173: in
> make_fid
> fid = h5f.open(name, flags, fapl=fapl)
> h5py/_debian_h5py_serial/_objects.pyx:54: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> h5py/_debian_h5py_serial/_objects.pyx:55: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> > ???
> E OSError: Unable to open file (unable to open file)
>
> h5py/_debian_h5py_serial/h5f.pyx:88: OSError
> __________________________ test_save_load_binary_h5py
> __________________________
>
> def test_save_load_binary_h5py():
>
> data1 = np.random.random((3, 5))
> data2 = np.random.random((2, 3, 5))
> attr = 1
> datas = [data1, data2, attr]
>
> def save_function(h5file_):
> h5file_['data1'] = data1
> h5file_['subgroup/data2'] = data2
> h5file_['data1'].attrs['attr'] = attr
>
> def load_function(h5file_):
> d1 = h5file_['data1'][:]
> d2 = h5file_['subgroup/data2'][:]
> a = h5file_['data1'].attrs['attr']
> return d1, d2, a
>
> file_like = io.BytesIO()
> > save_to_binary_h5py(save_function, file_like)
>
> tests/keras/utils/io_utils_test.py:344:
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
> keras/utils/io_utils.py:416: in save_to_binary_h5py
> with h5py.File('in-memory-h5py', driver='core', backing_store=False) as
> h5file:
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:387: in
> __init__
> fid = make_fid(name, mode, userblock_size,
> /usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/_hl/files.py:173: in
> make_fid
> fid = h5f.open(name, flags, fapl=fapl)
> h5py/_debian_h5py_serial/_objects.pyx:54: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> h5py/_debian_h5py_serial/_objects.pyx:55: in
> h5py._debian_h5py_serial._objects.with_phil.wrapper
> ???
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
> _
>
> > ???
> E OSError: Unable to open file (unable to open file)
>
> h5py/_debian_h5py_serial/h5f.pyx:88: OSError
> =============================== warnings summary
> ===============================
> .pybuild/cpython3_3.8_keras/build/tests/test_model_pickling.py::test_sequential_model_pickling
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_utils.py:823:
> DeprecationWarning: Using or importing the ABCs from 'collections' instead
> of from 'collections.abc' is deprecated since Python 3.3, and in 3.9 it will
> stop working
> elif isinstance(loss, collections.Sequence):
>
> .pybuild/cpython3_3.8_keras/build/tests/test_model_pickling.py::test_pickling_without_compilation
> .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
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_overwrite_option
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_saving_overwrite_option_gcs
> .pybuild/cpython3_3.8_keras/build/tests/test_model_saving.py::test_model_saving_with_rnn_initial_state_and_args
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/saving.py:341:
> 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_saving.py::test_saving_unused_layers_is_ok
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/layers/core.py:683:
> 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.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .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:683:
> UserWarning: `output_shape` argument not specified for layer lambda_3 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.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .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::TestLossFunctions::test_cce_one_hot
> .pybuild/cpython3_3.8_keras/build/tests/keras/losses_test.py::TestLossFunctions::test_sparse_categorical_crossentropy
> .pybuild/cpython3_3.8_keras/build/tests/keras/losses_test.py::TestLossFunctions::test_sparse_categorical_crossentropy_4d
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_test.py::test_sparse_metrics[sparse_categorical_crossentropy]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_test.py::test_sparse_categorical_accuracy_correctness[shape0]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_test.py::test_sparse_categorical_accuracy_correctness[shape1]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_test.py::test_sparse_categorical_accuracy_correctness[shape2]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_training_test.py::test_sparse_metrics[SparseCategoricalCrossentropy]
> .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
> /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
> /usr/lib/python3/dist-packages/_pytest/pathlib.py:75: PytestWarning:
> (rm_rf) unknown function
> /tmp/pytest-of-user42/garbage-37f4543e-59e5-4fdd-9d7b-93584ebeb194/test_sysfind_no_permisson_igno0/noperm
> when removing <built-in function open>:
> <class 'PermissionError'>: [Errno 13] Permission denied: 'noperm'
> warnings.warn(
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> /usr/lib/python3/dist-packages/_pytest/pathlib.py:67: PytestWarning:
> (rm_rf) error removing
> /tmp/pytest-of-user42/garbage-37f4543e-59e5-4fdd-9d7b-93584ebeb194/test_sysfind_no_permisson_igno0
> <class 'OSError'>: [Errno 39] Directory not empty:
> 'test_sysfind_no_permisson_igno0'
> warnings.warn(
>
> .pybuild/cpython3_3.8_keras/build/tests/integration_tests/preprocessing/image_test.py::TestImage::test_image_data_generator
> /usr/lib/python3/dist-packages/_pytest/pathlib.py:67: PytestWarning:
> (rm_rf) error removing
> /tmp/pytest-of-user42/garbage-37f4543e-59e5-4fdd-9d7b-93584ebeb194
> <class 'OSError'>: [Errno 39] Directory not empty:
> '/tmp/pytest-of-user42/garbage-37f4543e-59e5-4fdd-9d7b-93584ebeb194'
> warnings.warn(
>
> .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/image_data_generator.py:341:
> 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_load_img
> /usr/lib/python3/dist-packages/keras_preprocessing/image/utils.py:104:
> UserWarning: grayscale is deprecated. Please use color_mode = "grayscale"
> warnings.warn('grayscale is deprecated. Please use '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_test.py::test_top_k_categorical_accuracy
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_test.py::test_sparse_top_k_categorical_accuracy[y_pred0-y_true0]
> .pybuild/cpython3_3.8_keras/build/tests/keras/metrics_functional_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/engine/test_topology.py::test_recursion
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/network.py:176:
> 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_240.
> Note that input tensors are instantiated via `tensor =
> keras.layers.Input(shape)`.
> The tensor that caused the issue was: None
> warnings.warn(cls_name + ' inputs must come from '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_topology.py::test_activity_regularization_with_model_composition
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_utils.py:816:
> UserWarning: Output model_63 missing from loss dictionary. We assume this
> was done on purpose. The fit and evaluate APIs will not be expecting any data
> to be passed to model_63.
> warnings.warn(
>
> .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_with_partial_loss
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_external_loss
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_external_loss
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_utils.py:816:
> UserWarning: Output dense_1 missing from loss dictionary. We assume this was
> done on purpose. The fit and evaluate APIs will not be expecting any data to
> be passed to dense_1.
> warnings.warn(
>
> .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_with_external_loss
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_utils.py:816:
> UserWarning: Output dropout missing from loss dictionary. We assume this was
> done on purpose. The fit and evaluate APIs will not be expecting any data to
> be passed to dropout.
> warnings.warn(
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_model_with_external_loss
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_utils.py:816:
> UserWarning: Output dense_2 missing from loss dictionary. We assume this was
> done on purpose. The fit and evaluate APIs will not be expecting any data to
> be passed to dense_2.
> warnings.warn(
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/engine/test_training.py::test_validation_freq
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/keras/engine/training_utils.py:639:
> DeprecationWarning: Using or importing the ABCs from 'collections' instead
> of from 'collections.abc' is deprecated since Python 3.3, and in 3.9 it will
> stop working
> if not isinstance(validation_freq, collections.Container):
>
> .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:593:
> 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.
> warnings.warn(
>
> .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:683:
> 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.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .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:683:
> 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.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .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:683:
> 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.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .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:683:
> 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.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .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:683:
> UserWarning: `output_shape` argument not specified for layer lambda_10 and
> cannot be automatically inferred with the Theano backend. Defaulting to
> output shape `(None, 3, 2, 1)` (same as input shape). If the expected output
> shape is different, specify it via the `output_shape` argument.
> warnings.warn('`output_shape` argument not specified for layer {} '
>
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_masking_correctness_output_not_equal_to_first_state
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_masking_correctness_output_not_equal_to_first_state
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_masking_correctness_output_size_not_equal_to_first_state_size
> .pybuild/cpython3_3.8_keras/build/tests/keras/layers/recurrent_test.py::test_masking_correctness_output_size_not_equal_to_first_state_size
> .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:675:
> DeprecationWarning: stack(*tensors) interface is deprecated, use
> stack(tensors, axis=0) instead.
> last_output, outputs, states = K.rnn(step,
>
> .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:1064:
> 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_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:1068:
> 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.
> warnings.warn(
>
> .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:1651:
> 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.
> warnings.warn(
>
> .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:2207:
> 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.
> warnings.warn(
>
> .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:66:
> 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_embedding_legacy_interface
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:55:
> 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_lstm_legacy_interface
>
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.8_keras/build/tests/keras/legacy/interface_test.py:110:
> UserWarning: The `input_dim` and `input_length` arguments in recurrent
> layers are deprecated. Use `input_shape` instead.
> old_layer = keras.layers.LSTM(input_dim=5, input_length=3,
>
> .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:115:
> UserWarning: The `input_dim` and `input_length` arguments in recurrent
> layers are deprecated. Use `input_shape` instead.
> old_layer = keras.layers.LSTM(input_dim=5,
>
> .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:150:
> UserWarning: The `forget_bias_init` argument has been ignored. Use
> `unit_forget_bias=True` instead to initialize with ones.
> old_layer = keras.layers.LSTM(2, init='normal',
>
> .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_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/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 '
>
> -- Docs: https://docs.pytest.org/en/latest/warnings.html
> ===Flaky Test Report===
>
> test_model_methods passed 1 out of the required 1 times. Success!
> test_fit_generator passed 1 out of the required 1 times. Success!
> test_generator_enqueuer_fail_threads passed 1 out of the required 1 times.
> Success!
> test_finite_generator_enqueuer_threads passed 1 out of the required 1 times.
> Success!
>
> ===End Flaky Test Report===
> ====== 6 failed, 795 passed, 250 skipped, 78 warnings in 1601.51 seconds
> =======
> E: pybuild pybuild:352: 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/docs/test_documentation.py
> --ignore=tests/keras/callbacks/callbacks_test.py
> --ignore=tests/keras/metrics_confusion_matrix_test.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/docs/test_doc_auto_generation.py --ignore=tests/test_api.py
> dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.8
> returned exit code 13
The full build log is available from:
http://qa-logs.debian.net/2020/06/20/keras_2.3.1+dfsg-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.
