_id stringlengths 1 3 | text stringlengths 40 43.7k |
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112 | tf.compat.v1.count_up_to Increments 'ref' until it reaches 'limit'. (deprecated) |
113 | tf.compat.v1.create_partitioned_variables Create a list of partitioned variables according to the given slicing. (deprecated) |
114 | Module: tf.compat.v1.data tf.data.Dataset API for input pipelines. See Importing Data for an overview. Modules experimental module: Experimental API for building input pipelines. Classes class Dataset: Represents a potentially large set of elements. class DatasetSpec: Type specification for tf.data.Dataset. class Fixed... |
115 | tf.compat.v1.data.Dataset Represents a potentially large set of elements. Inherits From: Dataset |
116 | Module: tf.compat.v1.data.experimental Experimental API for building input pipelines. This module contains experimental Dataset sources and transformations that can be used in conjunction with the tf.data.Dataset API. Note that the tf.data.experimental API is not subject to the same backwards compatibility guarantees a... |
117 | tf.compat.v1.data.experimental.choose_from_datasets Creates a dataset that deterministically chooses elements from datasets. |
118 | tf.compat.v1.data.experimental.Counter Creates a Dataset that counts from start in steps of size step. |
119 | tf.compat.v1.data.experimental.CsvDataset A Dataset comprising lines from one or more CSV files. Inherits From: Dataset, Dataset |
120 | tf.compat.v1.data.experimental.make_batched_features_dataset Returns a Dataset of feature dictionaries from Example protos. |
121 | tf.compat.v1.data.experimental.make_csv_dataset Reads CSV files into a dataset. |
122 | tf.compat.v1.data.experimental.map_and_batch_with_legacy_function Fused implementation of map and batch. (deprecated) |
123 | tf.compat.v1.data.experimental.RaggedTensorStructure DEPRECATED FUNCTION |
124 | tf.compat.v1.data.experimental.RandomDataset A Dataset of pseudorandom values. Inherits From: Dataset, Dataset |
125 | tf.compat.v1.data.experimental.sample_from_datasets Samples elements at random from the datasets in datasets. |
126 | Module: tf.compat.v1.data.experimental.service API for using the tf.data service. This module contains: tf.data server implementations for running the tf.data service. A distribute dataset transformation that moves a dataset's preprocessing to happen in the tf.data service. The tf.data service offers a way to improve... |
127 | tf.compat.v1.data.experimental.SparseTensorStructure DEPRECATED FUNCTION |
128 | tf.compat.v1.data.experimental.SqlDataset A Dataset consisting of the results from a SQL query. Inherits From: Dataset, Dataset |
129 | tf.compat.v1.data.experimental.StatsAggregator A stateful resource that aggregates statistics from one or more iterators. |
130 | tf.compat.v1.data.experimental.TensorArrayStructure DEPRECATED FUNCTION |
131 | tf.compat.v1.data.experimental.TensorStructure DEPRECATED FUNCTION |
132 | tf.compat.v1.data.FixedLengthRecordDataset A Dataset of fixed-length records from one or more binary files. Inherits From: Dataset, Dataset |
133 | tf.compat.v1.data.get_output_classes Returns the output classes for elements of the input dataset / iterator. |
134 | tf.compat.v1.data.get_output_shapes Returns the output shapes for elements of the input dataset / iterator. |
135 | tf.compat.v1.data.get_output_types Returns the output shapes for elements of the input dataset / iterator. |
136 | tf.compat.v1.data.Iterator Represents the state of iterating through a Dataset. |
137 | tf.compat.v1.data.make_initializable_iterator Creates an iterator for elements of dataset. |
138 | tf.compat.v1.data.make_one_shot_iterator Creates an iterator for elements of dataset. |
139 | tf.compat.v1.data.TextLineDataset A Dataset comprising lines from one or more text files. Inherits From: Dataset, Dataset |
140 | tf.compat.v1.data.TFRecordDataset A Dataset comprising records from one or more TFRecord files. Inherits From: Dataset, Dataset |
142 | tf.compat.v1.debugging.assert_shapes Assert tensor shapes and dimension size relationships between tensors. |
144 | tf.compat.v1.decode_csv Convert CSV records to tensors. Each column maps to one tensor. View aliases Compat aliases for migration |
145 | tf.compat.v1.decode_raw Convert raw byte strings into tensors. (deprecated arguments) View aliases Compat aliases for migration |
146 | tf.compat.v1.delete_session_tensor Delete the tensor for the given tensor handle. |
147 | tf.compat.v1.depth_to_space DepthToSpace for tensors of type T. View aliases Compat aliases for migration |
148 | tf.compat.v1.device Wrapper for Graph.device() using the default graph. |
149 | tf.compat.v1.DeviceSpec Represents a (possibly partial) specification for a TensorFlow device. Inherits From: DeviceSpec |
150 | tf.compat.v1.Dimension Represents the value of one dimension in a TensorShape. |
151 | tf.compat.v1.disable_control_flow_v2 Opts out of control flow v2. |
152 | tf.compat.v1.disable_eager_execution Disables eager execution. |
153 | tf.compat.v1.disable_resource_variables Opts out of resource variables. (deprecated) |
154 | tf.compat.v1.disable_tensor_equality Compare Tensors by their id and be hashable. |
155 | tf.compat.v1.disable_v2_behavior Disables TensorFlow 2.x behaviors. |
156 | tf.compat.v1.disable_v2_tensorshape Disables the V2 TensorShape behavior and reverts to V1 behavior. |
157 | Module: tf.compat.v1.distribute Library for running a computation across multiple devices. The intent of this library is that you can write an algorithm in a stylized way and it will be usable with a variety of different tf.distribute.Strategy implementations. Each descendant will implement a different strategy for dis... |
160 | tf.compat.v1.distribute.experimental.CentralStorageStrategy A one-machine strategy that puts all variables on a single device. Inherits From: Strategy |
161 | tf.compat.v1.distribute.experimental.MultiWorkerMirroredStrategy A distribution strategy for synchronous training on multiple workers. Inherits From: Strategy |
162 | tf.compat.v1.distribute.experimental.ParameterServerStrategy An asynchronous multi-worker parameter server tf.distribute strategy. Inherits From: Strategy |
163 | tf.compat.v1.distribute.experimental.TPUStrategy TPU distribution strategy implementation. Inherits From: Strategy |
164 | tf.compat.v1.distribute.get_loss_reduction tf.distribute.ReduceOp corresponding to the last loss reduction. |
165 | tf.compat.v1.distribute.MirroredStrategy Synchronous training across multiple replicas on one machine. Inherits From: Strategy |
166 | tf.compat.v1.distribute.OneDeviceStrategy A distribution strategy for running on a single device. Inherits From: Strategy |
167 | tf.compat.v1.distribute.ReplicaContext A class with a collection of APIs that can be called in a replica context. |
168 | tf.compat.v1.distribute.Strategy A list of devices with a state & compute distribution policy. |
169 | tf.compat.v1.distribute.StrategyExtended Additional APIs for algorithms that need to be distribution-aware. Inherits From: StrategyExtended |
170 | Module: tf.compat.v1.distributions Core module for TensorFlow distribution objects and helpers. Classes class Bernoulli: Bernoulli distribution. class Beta: Beta distribution. class Categorical: Categorical distribution. class Dirichlet: Dirichlet distribution. class DirichletMultinomial: Dirichlet-Multinomial compound... |
171 | tf.compat.v1.distributions.Bernoulli Bernoulli distribution. Inherits From: Distribution |
172 | tf.compat.v1.distributions.Beta Beta distribution. Inherits From: Distribution |
173 | tf.compat.v1.distributions.Categorical Categorical distribution. Inherits From: Distribution |
174 | tf.compat.v1.distributions.Dirichlet Dirichlet distribution. Inherits From: Distribution |
175 | tf.compat.v1.distributions.DirichletMultinomial Dirichlet-Multinomial compound distribution. Inherits From: Distribution |
176 | tf.compat.v1.distributions.Distribution A generic probability distribution base class. |
177 | tf.compat.v1.distributions.Exponential Exponential distribution. Inherits From: Gamma, Distribution |
178 | tf.compat.v1.distributions.Gamma Gamma distribution. Inherits From: Distribution |
179 | tf.compat.v1.distributions.kl_divergence Get the KL-divergence KL(distribution_a || distribution_b). (deprecated) |
180 | tf.compat.v1.distributions.Laplace The Laplace distribution with location loc and scale parameters. Inherits From: Distribution |
181 | tf.compat.v1.distributions.Multinomial Multinomial distribution. Inherits From: Distribution |
182 | tf.compat.v1.distributions.Normal The Normal distribution with location loc and scale parameters. Inherits From: Distribution |
183 | tf.compat.v1.distributions.RegisterKL Decorator to register a KL divergence implementation function. |
184 | tf.compat.v1.distributions.ReparameterizationType Instances of this class represent how sampling is reparameterized. |
185 | tf.compat.v1.distributions.StudentT Student's t-distribution. Inherits From: Distribution |
186 | tf.compat.v1.distributions.Uniform Uniform distribution with low and high parameters. Inherits From: Distribution |
187 | Module: tf.compat.v1.dtypes Public API for tf.dtypes namespace. Classes class DType: Represents the type of the elements in a Tensor. Functions as_dtype(...): Converts the given type_value to a DType. as_string(...): Converts each entry in the given tensor to strings. cast(...): Casts a tensor to a new type. complex(..... |
188 | tf.compat.v1.enable_control_flow_v2 Use control flow v2. |
189 | tf.compat.v1.enable_eager_execution Enables eager execution for the lifetime of this program. |
190 | tf.compat.v1.enable_resource_variables Creates resource variables by default. |
191 | tf.compat.v1.enable_tensor_equality Compare Tensors with element-wise comparison and thus be unhashable. |
192 | tf.compat.v1.enable_v2_behavior Enables TensorFlow 2.x behaviors. |
193 | tf.compat.v1.enable_v2_tensorshape In TensorFlow 2.0, iterating over a TensorShape instance returns values. |
194 | Module: tf.compat.v1.errors Exception types for TensorFlow errors. Classes class AbortedError: The operation was aborted, typically due to a concurrent action. class AlreadyExistsError: Raised when an entity that we attempted to create already exists. class CancelledError: Raised when an operation or step is cancelled.... |
195 | tf.compat.v1.errors.error_code_from_exception_type |
196 | tf.compat.v1.errors.exception_type_from_error_code |
197 | tf.compat.v1.errors.raise_exception_on_not_ok_status Context manager to check for C API status. Methods __enter__ View source |
199 | tf.compat.v1.estimator.BaselineClassifier A classifier that can establish a simple baseline. Inherits From: Estimator |
200 | tf.compat.v1.estimator.BaselineEstimator An estimator that can establish a simple baseline. Inherits From: Estimator |
201 | tf.compat.v1.estimator.BaselineRegressor A regressor that can establish a simple baseline. Inherits From: Estimator |
202 | tf.compat.v1.estimator.classifier_parse_example_spec Generates parsing spec for tf.parse_example to be used with classifiers. |
203 | tf.compat.v1.estimator.DNNClassifier A classifier for TensorFlow DNN models. Inherits From: Estimator |
204 | tf.compat.v1.estimator.DNNEstimator An estimator for TensorFlow DNN models with user-specified head. Inherits From: Estimator |
205 | tf.compat.v1.estimator.DNNLinearCombinedClassifier An estimator for TensorFlow Linear and DNN joined classification models. Inherits From: Estimator |
206 | tf.compat.v1.estimator.DNNLinearCombinedEstimator An estimator for TensorFlow Linear and DNN joined models with custom head. Inherits From: Estimator |
207 | tf.compat.v1.estimator.DNNLinearCombinedRegressor An estimator for TensorFlow Linear and DNN joined models for regression. Inherits From: Estimator |
208 | tf.compat.v1.estimator.DNNRegressor A regressor for TensorFlow DNN models. Inherits From: Estimator |
209 | tf.compat.v1.estimator.Estimator Estimator class to train and evaluate TensorFlow models. |
211 | tf.compat.v1.estimator.experimental.dnn_logit_fn_builder Function builder for a dnn logit_fn. |
212 | tf.compat.v1.estimator.experimental.KMeans An Estimator for K-Means clustering. Inherits From: Estimator |
213 | tf.compat.v1.estimator.experimental.linear_logit_fn_builder Function builder for a linear logit_fn. |
216 | tf.compat.v1.estimator.inputs.numpy_input_fn Returns input function that would feed dict of numpy arrays into the model. |
217 | tf.compat.v1.estimator.inputs.pandas_input_fn Returns input function that would feed Pandas DataFrame into the model. |
218 | tf.compat.v1.estimator.LinearClassifier Linear classifier model. Inherits From: Estimator |
219 | tf.compat.v1.estimator.LinearEstimator An estimator for TensorFlow linear models with user-specified head. Inherits From: Estimator |
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