hub / github.com/alibaba/nann / test_on_batch

Method test_on_batch

tensorflow/tensorflow/python/keras/engine/training.py:1026–1112 · view source on GitHub ↗

Test the model on a single batch of samples. Arguments: x: Input data. It could be: - A Numpy array (or array-like), or a list of arrays (in case the model has multiple inputs). - A TensorFlow tensor, or a list of tensors (in case the model ha

(self, x, y=None, sample_weight=None, reset_metrics=True)

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Callers 15

test_if_training_pattern_outputMethod · 0.95

test_if_training_pattern_lossMethod · 0.95

test_if_training_pattern_metricMethod · 0.95

test_evaluate_predict_on_arraysMethod · 0.95

test_activity_regularizer_batch_independentMethod · 0.95

test_training_and_eval_methods_on_symbolic_tensors_single_ioMethod · 0.95

test_training_and_eval_methods_on_symbolic_tensors_multi_ioMethod · 0.95

test_model_with_input_feed_tensorMethod · 0.95

test_model_with_partial_lossMethod · 0.95

test_model_with_external_lossMethod · 0.95

test_add_metric_with_tensor_on_modelMethod · 0.95

_test_and_assertMethod · 0.80

Calls 8

_assert_compile_was_calledMethod · 0.95

_check_call_argsMethod · 0.95

_standardize_user_dataMethod · 0.95

_update_sample_weight_modesMethod · 0.95

_make_test_functionMethod · 0.95

reset_metricsMethod · 0.95

as_listMethod · 0.45

test_functionMethod · 0.45

Tested by

no test coverage detected