Spaces:
Runtime error
Runtime error
# 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() | |