(use_inner, use_outter, kernel_type, sparse_feature_num)
| 11 | ] |
| 12 | ) |
| 13 | def test_PNN(use_inner, use_outter, kernel_type, sparse_feature_num): |
| 14 | model_name = "PNN" |
| 15 | sample_size = SAMPLE_SIZE |
| 16 | x, y, feature_columns = get_test_data(sample_size, sparse_feature_num=sparse_feature_num, |
| 17 | dense_feature_num=sparse_feature_num) |
| 18 | model = PNN(feature_columns, dnn_hidden_units=[32, 32], dnn_dropout=0.5, use_inner=use_inner, |
| 19 | use_outter=use_outter, kernel_type=kernel_type, device=get_device()) |
| 20 | check_model(model, model_name, x, y) |
| 21 | |
| 22 | |
| 23 | if __name__ == "__main__": |
nothing calls this directly
no test coverage detected