Python源码示例：dragnn.python.bulk.BulkAnnotatorComponentBuilder()
示例1
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例2
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例3
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例4
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例5
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例6
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例7
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例8
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例9
def testFailsOnFixedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "annotate"
network_unit {
registered_name: "IdentityNetwork"
}
fixed_feature {
name: "fixed" embedding_dim: 32 size: 1
}
""", component_spec)
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a runtime error due to the
# fixed feature.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例10
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例11
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例12
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例13
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例14
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例15
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例16
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例17
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例18
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例19
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例20
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例21
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例22
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例23
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
with tf.Graph().as_default():
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
with tf.Graph().as_default():
comp = bulk_component.BulkAnnotatorComponentBuilder(
self.master, component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例24
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
self.setUp()
comp = bulk_component.BulkAnnotatorComponentBuilder(self.master,
component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例25
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
self.setUp()
comp = bulk_component.BulkAnnotatorComponentBuilder(self.master,
component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
示例26
def testFailsOnNonIdentityTranslator(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "IdentityNetwork"
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "history"
source_component: "mock"
}
""", component_spec)
# For feature extraction:
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
self.setUp()
comp = bulk_component.BulkAnnotatorComponentBuilder(self.master,
component_spec)
with self.assertRaises(NotImplementedError):
comp.build_greedy_training(self.master_state, self.network_states)
示例27
def testFailsOnRecurrentLinkedFeature(self):
component_spec = spec_pb2.ComponentSpec()
text_format.Parse("""
name: "test"
network_unit {
registered_name: "FeedForwardNetwork"
parameters {
key: 'hidden_layer_sizes' value: '64'
}
}
linked_feature {
name: "features" embedding_dim: -1 size: 1
source_translator: "identity"
source_component: "test"
source_layer: "layer_0"
}
""", component_spec)
# For feature extraction:
comp = bulk_component.BulkFeatureExtractorComponentBuilder(
self.master, component_spec)
# Expect feature extraction to generate a error due to the "history"
# translator.
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
# As well as annotation:
self.setUp()
comp = bulk_component.BulkAnnotatorComponentBuilder(self.master,
component_spec)
with self.assertRaises(RuntimeError):
comp.build_greedy_training(self.master_state, self.network_states)
