# Copyright 2023 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for params_dict.py.""" import os import tensorflow as tf, tf_keras import yaml from official.modeling.hyperparams import params_dict class ParamsDictTest(tf.test.TestCase): def test_init_from_an_empty_dict(self): params = params_dict.ParamsDict() with self.assertRaises(AttributeError): _ = params.a with self.assertRaises(KeyError): params.a = 'aa' def test_init_from_a_dict(self): params = params_dict.ParamsDict({'a': 'aa', 'b': 2}) self.assertEqual(params.a, 'aa') self.assertEqual(params.b, 2) def test_init_from_a_param_dict(self): params_init = params_dict.ParamsDict({'a': 'aa', 'b': 2}) params = params_dict.ParamsDict(params_init) self.assertEqual(params.a, 'aa') self.assertEqual(params.b, 2) def test_lock(self): params = params_dict.ParamsDict({'a': 1, 'b': 2, 'c': 3}) params.lock() with self.assertRaises(ValueError): params.a = 10 with self.assertRaises(ValueError): params.override({'b': 20}) with self.assertRaises(ValueError): del params.c def test_setattr(self): params = params_dict.ParamsDict() params.override({'a': 'aa', 'b': 2, 'c': None}, is_strict=False) params.c = 'ccc' self.assertEqual(params.a, 'aa') self.assertEqual(params.b, 2) self.assertEqual(params.c, 'ccc') def test_getattr(self): params = params_dict.ParamsDict() params.override({'a': 'aa', 'b': 2, 'c': None}, is_strict=False) self.assertEqual(params.a, 'aa') self.assertEqual(params.b, 2) self.assertEqual(params.c, None) def test_delattr(self): params = params_dict.ParamsDict() params.override({ 'a': 'aa', 'b': 2, 'c': None, 'd': { 'd1': 1, 'd2': 10 } }, is_strict=False) del params.c self.assertEqual(params.a, 'aa') self.assertEqual(params.b, 2) with self.assertRaises(AttributeError): _ = params.c del params.d with self.assertRaises(AttributeError): _ = params.d.d1 def test_contains(self): params = params_dict.ParamsDict() params.override({'a': 'aa'}, is_strict=False) self.assertIn('a', params) self.assertNotIn('b', params) def test_get(self): params = params_dict.ParamsDict() params.override({'a': 'aa'}, is_strict=False) self.assertEqual(params.get('a'), 'aa') self.assertEqual(params.get('b', 2), 2) self.assertEqual(params.get('b'), None) def test_override_is_strict_true(self): params = params_dict.ParamsDict({ 'a': 'aa', 'b': 2, 'c': { 'c1': 'cc', 'c2': 20 } }) params.override({'a': 2, 'c': {'c1': 'ccc'}}, is_strict=True) self.assertEqual(params.a, 2) self.assertEqual(params.c.c1, 'ccc') with self.assertRaises(KeyError): params.override({'d': 'ddd'}, is_strict=True) with self.assertRaises(KeyError): params.override({'c': {'c3': 30}}, is_strict=True) def test_override_is_strict_false(self): params = params_dict.ParamsDict({ 'a': 'aa', 'b': 2, 'c': { 'c1': 10, 'c2': 20 } }) params.override({'a': 2, 'c': {'c3': 3000}}, is_strict=False) self.assertEqual(params.a, 2) self.assertEqual(params.c.c3, 3000) params.override({'d': 'ddd'}, is_strict=False) self.assertEqual(params.d, 'ddd') params.override({'c': {'c4': 4444}}, is_strict=False) self.assertEqual(params.c.c4, 4444) def test_as_dict(self): params = params_dict.ParamsDict({ 'a': 'aa', 'b': 2, 'c': { 'c1': 10, 'c2': 20 } }) params_d = params.as_dict() self.assertEqual(params_d['a'], 'aa') self.assertEqual(params_d['b'], 2) self.assertEqual(params_d['c']['c1'], 10) self.assertEqual(params_d['c']['c2'], 20) def test_validate(self): # Raise error due to the unknown parameter. with self.assertRaises(KeyError): params = params_dict.ParamsDict({'a': 1, 'b': {'a': 11}}, ['a == c']) params.validate() # OK to check equality of two nested dicts. params = params_dict.ParamsDict({ 'a': 1, 'b': { 'a': 10 }, 'c': { 'a': 10 } }, ['b == c']) # Raise error due to inconsistency with self.assertRaises(KeyError): params = params_dict.ParamsDict({'a': 1, 'c': {'a': 10}}, ['a == c.a']) params.validate() # Valid rule. params = params_dict.ParamsDict({'a': 1, 'c': {'a': 1}}, ['a == c.a']) # Overriding violates the existing rule, raise error upon validate. params.override({'a': 11}) with self.assertRaises(KeyError): params.validate() # Valid restrictions with constant. params = params_dict.ParamsDict({ 'a': None, 'c': { 'a': 1 } }, ['a == None', 'c.a == 1']) params.validate() with self.assertRaises(KeyError): params = params_dict.ParamsDict({ 'a': 4, 'c': { 'a': 1 } }, ['a == None', 'c.a == 1']) params.validate() class ParamsDictIOTest(tf.test.TestCase): def write_temp_file(self, filename, text): temp_file = os.path.join(self.get_temp_dir(), filename) with tf.io.gfile.GFile(temp_file, 'w') as writer: writer.write(text) return temp_file def test_save_params_dict_to_yaml(self): params = params_dict.ParamsDict({ 'a': 'aa', 'b': 2, 'c': { 'c1': 10, 'c2': 20 } }) output_yaml_file = os.path.join(self.get_temp_dir(), 'params.yaml') params_dict.save_params_dict_to_yaml(params, output_yaml_file) with tf.io.gfile.GFile(output_yaml_file, 'r') as f: params_d = yaml.load(f, Loader=yaml.Loader) self.assertEqual(params.a, params_d['a']) self.assertEqual(params.b, params_d['b']) self.assertEqual(params.c.c1, params_d['c']['c1']) self.assertEqual(params.c.c2, params_d['c']['c2']) def test_read_yaml_to_params_dict(self): input_yaml_file = self.write_temp_file( 'params.yaml', r""" a: 'aa' b: 2 c: c1: 10 c2: 20 """) params = params_dict.read_yaml_to_params_dict(input_yaml_file) self.assertEqual(params.a, 'aa') self.assertEqual(params.b, 2) self.assertEqual(params.c.c1, 10) self.assertEqual(params.c.c2, 20) def test_override_params_dict_using_dict(self): params = params_dict.ParamsDict({ 'a': 1, 'b': 2.5, 'c': [3, 4], 'd': 'hello', 'e': False }) override_dict = {'b': 5.2, 'c': [30, 40]} params = params_dict.override_params_dict( params, override_dict, is_strict=True) self.assertEqual(1, params.a) self.assertEqual(5.2, params.b) self.assertEqual([30, 40], params.c) self.assertEqual('hello', params.d) self.assertEqual(False, params.e) def test_override_params_dict_using_yaml_string(self): params = params_dict.ParamsDict({ 'a': 1, 'b': 2.5, 'c': [3, 4], 'd': 'hello', 'e': False }) override_yaml_string = "'b': 5.2\n'c': [30, 40]" params = params_dict.override_params_dict( params, override_yaml_string, is_strict=True) self.assertEqual(1, params.a) self.assertEqual(5.2, params.b) self.assertEqual([30, 40], params.c) self.assertEqual('hello', params.d) self.assertEqual(False, params.e) def test_override_params_dict_using_json_string(self): params = params_dict.ParamsDict({ 'a': 1, 'b': { 'b1': 2, 'b2': [2, 3], }, 'd': { 'd1': { 'd2': 'hello' } }, 'e': False }) override_json_string = "{ b: { b2: [3, 4] }, d: { d1: { d2: 'hi' } } }" params = params_dict.override_params_dict( params, override_json_string, is_strict=True) self.assertEqual(1, params.a) self.assertEqual(2, params.b.b1) self.assertEqual([3, 4], params.b.b2) self.assertEqual('hi', params.d.d1.d2) self.assertEqual(False, params.e) def test_override_params_dict_using_csv_string(self): params = params_dict.ParamsDict({ 'a': 1, 'b': { 'b1': 2, 'b2': [2, 3], }, 'd': { 'd1': { 'd2': 'hello' } }, 'e': False }) override_csv_string = "b.b2=[3,4], d.d1.d2='hi, world', e=gs://test" params = params_dict.override_params_dict( params, override_csv_string, is_strict=True) self.assertEqual(1, params.a) self.assertEqual(2, params.b.b1) self.assertEqual([3, 4], params.b.b2) self.assertEqual('hi, world', params.d.d1.d2) self.assertEqual('gs://test', params.e) # Test different float formats override_csv_string = 'b.b2=-1.e-3, d.d1.d2=+0.001, e=1e+3, a=-1.5E-3' params = params_dict.override_params_dict( params, override_csv_string, is_strict=True) self.assertEqual(-1e-3, params.b.b2) self.assertEqual(0.001, params.d.d1.d2) self.assertEqual(1e3, params.e) self.assertEqual(-1.5e-3, params.a) def test_override_params_dict_using_yaml_file(self): params = params_dict.ParamsDict({ 'a': 1, 'b': 2.5, 'c': [3, 4], 'd': 'hello', 'e': False }) override_yaml_file = self.write_temp_file( 'params.yaml', r""" b: 5.2 c: [30, 40] """) params = params_dict.override_params_dict( params, override_yaml_file, is_strict=True) self.assertEqual(1, params.a) self.assertEqual(5.2, params.b) self.assertEqual([30, 40], params.c) self.assertEqual('hello', params.d) self.assertEqual(False, params.e) class IOTest(tf.test.TestCase): def test_basic_csv_str_to_json_str(self): csv_str = 'a=1,b=2,c=3' json_str = '{a : 1, b : 2, c : 3}' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) self.assertEqual(converted_csv_str, json_str) def test_basic_csv_str_load(self): csv_str = 'a=1,b=2,c=3' expected_output = {'a': 1, 'b': 2, 'c': 3} converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) converted_dict = yaml.load(converted_csv_str, Loader=yaml.Loader) self.assertDictEqual(converted_dict, expected_output) def test_basic_nested_csv_str_to_json_str(self): csv_str = 'a=1,b.b1=2' json_str = '{a : 1, b : {b1 : 2}}' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) self.assertEqual(converted_csv_str, json_str) def test_basic_nested_csv_str_load(self): csv_str = 'a=1,b.b1=2,c.c1=3' expected_output = {'a': 1, 'b': {'b1': 2}, 'c': {'c1': 3}} converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) converted_dict = yaml.load(converted_csv_str, Loader=yaml.Loader) self.assertDictEqual(converted_dict, expected_output) def test_complex_nested_csv_str_to_json_str(self): csv_str = 'a.aa.aaa.aaaaa.a=1' json_str = '{a : {aa : {aaa : {aaaaa : {a : 1}}}}}' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) self.assertEqual(converted_csv_str, json_str) def test_complex_nested_csv_str_load(self): csv_str = 'a.aa.aaa.aaaaa.a=1,a.a=2' expected_output = {'a': {'aa': {'aaa': {'aaaaa': {'a': 1}}}, 'a': 2}} converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) converted_dict = yaml.load(converted_csv_str, Loader=yaml.Loader) self.assertDictEqual(converted_dict, expected_output) def test_int_array_param_nested_csv_str_to_json_str(self): csv_str = 'a.b[2]=3,a.b[0]=1,a.b[1]=2' json_str = '{a : {b : [1, 2, 3]}}' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) self.assertEqual(converted_csv_str, json_str) def test_float_array_param_nested_csv_str_to_json_str(self): csv_str = 'a.b[1]=3.45,a.b[2]=1.32,a.b[0]=2.232' json_str = '{a : {b : [2.232, 3.45, 1.32]}}' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) self.assertEqual(converted_csv_str, json_str) def test_incomplete_array_param_nested_csv_str_to_json_str(self): csv_str = 'a.b[0]=1,a.b[2]=2' self.assertRaises(ValueError, params_dict.nested_csv_str_to_json_str, csv_str) def test_csv_str_load_supported_datatypes(self): csv_str = 'a=1,b=2.,c=[1,2,3],d=\'hello, there\',e=\"Hi.\"' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) converted_dict = yaml.load(converted_csv_str, Loader=yaml.Loader) self.assertEqual(converted_dict['a'], 1) self.assertEqual(converted_dict['b'], 2.) self.assertEqual(converted_dict['c'], [1, 2, 3]) self.assertEqual(converted_dict['d'], 'hello, there') self.assertEqual(converted_dict['e'], 'Hi.') def test_csv_str_load_unsupported_datatypes(self): csv_str = 'a=[[1,2,3],[4,5,6]]' self.assertRaises(ValueError, params_dict.nested_csv_str_to_json_str, csv_str) def test_csv_str_to_json_str_spacing(self): csv_str1 = 'a=1,b=2,c=3' csv_str2 = 'a = 1, b = 2, c = 3' json_str = '{a : 1, b : 2, c : 3}' converted_csv_str1 = params_dict.nested_csv_str_to_json_str(csv_str1) converted_csv_str2 = params_dict.nested_csv_str_to_json_str(csv_str2) self.assertEqual(converted_csv_str1, converted_csv_str2) self.assertEqual(converted_csv_str1, json_str) self.assertEqual(converted_csv_str2, json_str) def test_gcs_added_quotes(self): csv_str = 'a=gs://abc, b=gs://def' expected_output = '{a : \'gs://abc\', b : \'gs://def\'}' converted_csv_str = params_dict.nested_csv_str_to_json_str(csv_str) self.assertEqual(converted_csv_str, expected_output) if __name__ == '__main__': tf.test.main()