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# 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()