def test_AssertFieldConstraint_no_callback_return_value(): """Field value is returned when no callback and field is set.""" t = test_protos_pb2.TestMessage() t.string = 'foo' t.number = 5 assert 'foo' == pbutil.AssertFieldConstraint(t, 'string') assert 5 == pbutil.AssertFieldConstraint(t, 'number')
def AssertConfigIsValid(config: sampler_pb2.Sampler) -> sampler_pb2.Sampler:
"""Assert that a sampler configuration contains no invalid values.
Args:
config: A sampler configuration proto.
Returns:
The sampler configuration proto.
Raises:
UserError: If there are configuration errors.
"""
try:
pbutil.AssertFieldConstraint(config, 'start_text', lambda s: len(s),
'Sampler.start_text must be a string')
pbutil.AssertFieldConstraint(config, 'batch_size', lambda x: 0 < x,
'Sampler.batch_size must be > 0')
pbutil.AssertFieldConstraint(config, 'sequence_length',
lambda x: 0 < x,
'Sampler.sequence_length must be > 0')
pbutil.AssertFieldConstraint(config, 'temperature_micros',
lambda x: 0 < x,
'Sampler.temperature_micros must be > 0')
return config
except pbutil.ProtoValueError as e:
raise errors.UserError(e)
def test_AssertFieldConstraint_user_callback_passes():
"""Field value is returned when user callback passes."""
t = test_protos_pb2.TestMessage()
t.string = 'foo'
t.number = 5
assert 'foo' == pbutil.AssertFieldConstraint(t, 'string',
lambda x: x == 'foo')
assert 5 == pbutil.AssertFieldConstraint(t, 'number', lambda x: 1 < x < 10)
def test_AssertFieldConstraint_field_not_set():
"""ValueError is raised if the requested field is not set."""
t = test_protos_pb2.TestMessage()
with pytest.raises(pbutil.ProtoValueError) as e_info:
pbutil.AssertFieldConstraint(t, 'string')
assert "Field not set: 'TestMessage.string'" == str(e_info.value)
with pytest.raises(pbutil.ProtoValueError) as e_info:
pbutil.AssertFieldConstraint(t, 'number')
assert "Field not set: 'TestMessage.number'" == str(e_info.value)
def __init__(self, config: sampler_pb2.SymmetricalTokenDepth):
try:
self.left_token = pbutil.AssertFieldConstraint(
config, 'depth_increase_token', lambda s: len(s) > 0,
'SymmetricalTokenDepth.depth_increase_token must be a string')
self.right_token = pbutil.AssertFieldConstraint(
config, 'depth_decrease_token', lambda s: len(s) > 0,
'SymmetricalTokenDepth.depth_decrease_token must be a string')
except pbutil.ProtoValueError as e:
raise errors.UserError(e)
if self.left_token == self.right_token:
raise errors.UserError(
'SymmetricalTokenDepth tokens must be different')
def test_AssertFieldConstraint_user_callback_fails():
"""ProtoValueError raised when when user callback fails."""
t = test_protos_pb2.TestMessage()
t.string = 'foo'
t.number = 5
with pytest.raises(pbutil.ProtoValueError) as e_info:
pbutil.AssertFieldConstraint(t, 'string', lambda x: x == 'bar')
assert "Field fails constraint check: 'TestMessage.string'" == str(
e_info.value)
with pytest.raises(pbutil.ProtoValueError) as e_info:
pbutil.AssertFieldConstraint(t, 'number', lambda x: 10 < x < 100)
assert "Field fails constraint check: 'TestMessage.number'" == str(
e_info.value)
def test_AssertFieldConstraint_user_callback_custom_fail_message():
"""Test that the requested message is returned on callback fail."""
t = test_protos_pb2.TestMessage()
t.string = 'foo'
# Constraint function fails.
with pytest.raises(pbutil.ProtoValueError) as e_info:
pbutil.AssertFieldConstraint(t, 'string', lambda x: x == 'bar',
'Hello, world!')
assert 'Hello, world!' == str(e_info.value)
# Field not set.
with pytest.raises(pbutil.ProtoValueError) as e_info:
pbutil.AssertFieldConstraint(t, 'number', fail_message='Hello, world!')
assert 'Hello, world!' == str(e_info.value)
def __init__(self, config: generator_pb2.RandCharGenerator):
super(RandCharGenerator, self).__init__(config)
self.toolchain = self.config.model.corpus.language
self.generator = deepsmith_pb2.Generator(
name='randchar',
opts={
'toolchain': str(pbutil.AssertFieldConstraint(
self.config, 'toolchain', lambda x: len(x))),
'min_len': str(pbutil.AssertFieldConstraint(
self.config, 'string_min_len', lambda x: x > 0)),
'max_len': str(pbutil.AssertFieldConstraint(
self.config, 'string_max_len',
lambda x: x > 0 and x >= self.config.string_min_len)),
}
)
def __init__(self, config: sampler_pb2.MaxTokenLength):
try:
self.max_len = pbutil.AssertFieldConstraint(
config, 'maximum_tokens_in_sample', lambda x: x > 1,
'MaxTokenLength.maximum_tokens_in_sample must be > 0')
except pbutil.ProtoValueError as e:
raise errors.UserError(e)
def test_AssertFieldConstraint_user_callback_raises_exception():
"""If callback raises exception, it is passed to calling code."""
t = test_protos_pb2.TestMessage()
t.string = 'foo'
def CallbackWhichRaisesException(x):
"""Test callback which raises an exception"""
raise FileExistsError('foo')
with pytest.raises(FileExistsError) as e_info:
pbutil.AssertFieldConstraint(t, 'string', CallbackWhichRaisesException)
assert str(e_info.value) == 'foo'
def AssertIsBuildable(config: model_pb2.Model) -> model_pb2.Model:
"""Assert that a model configuration is buildable.
Args:
config: A model proto.
Returns:
The input model proto, unmodified.
Raises:
UserError: If the model is not buildable.
InternalError: If the value of the training.optimizer field is not
understood.
"""
# Any change to the Model proto schema will require a change to this function.
try:
pbutil.AssertFieldIsSet(config, 'corpus')
pbutil.AssertFieldIsSet(config, 'architecture')
pbutil.AssertFieldIsSet(config, 'training')
pbutil.AssertFieldIsSet(config.architecture, 'backend')
pbutil.AssertFieldIsSet(config.architecture, 'neuron_type')
if config.architecture.backend == model_pb2.NetworkArchitecture.KERAS:
pbutil.AssertFieldConstraint(
config.architecture, 'embedding_size', lambda x: 0 < x,
'NetworkArchitecture.embedding_size must be > 0')
pbutil.AssertFieldConstraint(
config.architecture, 'neurons_per_layer', lambda x: 0 < x,
'NetworkArchitecture.neurons_per_layer must be > 0')
pbutil.AssertFieldConstraint(
config.architecture, 'num_layers', lambda x: 0 < x,
'NetworkArchitecture.num_layers must be > 0')
pbutil.AssertFieldConstraint(
config.architecture, 'post_layer_dropout_micros',
lambda x: 0 <= x <= 1000000,
'NetworkArchitecture.post_layer_dropout_micros '
'must be >= 0 and <= 1000000')
pbutil.AssertFieldConstraint(config.training, 'num_epochs',
lambda x: 0 < x,
'TrainingOptions.num_epochs must be > 0')
pbutil.AssertFieldIsSet(config.training,
'shuffle_corpus_contentfiles_between_epochs')
pbutil.AssertFieldConstraint(config.training, 'batch_size',
lambda x: 0 < x,
'TrainingOptions.batch_size must be > 0')
pbutil.AssertFieldIsSet(config.training, 'optimizer')
if config.training.HasField('adam_optimizer'):
pbutil.AssertFieldConstraint(
config.training.adam_optimizer, 'initial_learning_rate_micros',
lambda x: 0 <= x,
'AdamOptimizer.initial_learning_rate_micros must be >= 0')
pbutil.AssertFieldConstraint(
config.training.adam_optimizer,
'learning_rate_decay_per_epoch_micros', lambda x: 0 <= x,
'AdamOptimizer.learning_rate_decay_per_epoch_micros must be >= 0'
)
pbutil.AssertFieldConstraint(
config.training.adam_optimizer, 'beta_1_micros',
lambda x: 0 <= x <= 1000000,
'AdamOptimizer.beta_1_micros must be >= 0 and <= 1000000')
pbutil.AssertFieldConstraint(
config.training.adam_optimizer, 'beta_2_micros',
lambda x: 0 <= x <= 1000000,
'AdamOptimizer.beta_2_micros must be >= 0 and <= 1000000')
pbutil.AssertFieldConstraint(
config.training.adam_optimizer,
'normalized_gradient_clip_micros', lambda x: 0 <= x,
'AdamOptimizer.normalized_gradient_clip_micros must be >= 0')
elif config.training.HasField('rmsprop_optimizer'):
pbutil.AssertFieldConstraint(
config.training.rmsprop_optimizer,
'initial_learning_rate_micros', lambda x: 0 <= x,
'RmsPropOptimizer.initial_learning_rate_micros must be >= 0')
pbutil.AssertFieldConstraint(
config.training.rmsprop_optimizer,
'learning_rate_decay_per_epoch_micros', lambda x: 0 <= x,
'RmsPropOptimizer.learning_rate_decay_per_epoch_micros must be >= 0'
)
else:
raise errors.InternalError(
"Unrecognized value: 'TrainingOptions.optimizer'")
except pbutil.ProtoValueError as e:
raise errors.UserError(str(e))
return config
def test_AssertFieldConstraint_invalid_field_name():
"""ValueError is raised if the requested field name does not exist."""
t = test_protos_pb2.TestMessage()
with pytest.raises(ValueError):
pbutil.AssertFieldConstraint(t, 'not_a_real_field')
