TensorFlow 1.12+
Symbol as expressed in TensorFlow 1.12+.
| TensorFlow 2.0 (tf_upgrade_v2)
Indicates that endpoint (name and/or arguments) has been modified in TensorFlow 2.0. | TensorFlow 2.0
Equivalent symbol in TensorFlow 2.0.
Note: tensorflow/addons not yet included.
|
| tf.AggregationMethod | | tf.AggregationMethod |
| tf.Assert | | tf.Assert |
| tf.AttrValue | tf.compat.v1.AttrValue | |
| tf.ConditionalAccumulator | tf.compat.v1.ConditionalAccumulator | |
| tf.ConditionalAccumulatorBase | tf.compat.v1.ConditionalAccumulatorBase | |
| tf.ConfigProto | tf.compat.v1.ConfigProto | |
| tf.DType | | tf.DType |
| tf.DeviceSpec | tf.compat.v1.DeviceSpec | |
| tf.Dimension | tf.compat.v1.Dimension | |
| tf.Event | tf.compat.v1.Event | |
| tf.FIFOQueue | tf.queue.FIFOQueue | |
| tf.FixedLenFeature | tf.io.FixedLenFeature | |
| tf.FixedLenSequenceFeature | tf.io.FixedLenSequenceFeature | |
| tf.FixedLengthRecordReader | tf.compat.v1.FixedLengthRecordReader | |
| tf.GPUOptions | tf.compat.v1.GPUOptions | |
| tf.GradientTape | | tf.GradientTape |
| tf.Graph | | tf.Graph |
| tf.GraphDef | tf.compat.v1.GraphDef | |
| tf.GraphKeys | tf.compat.v1.GraphKeys | |
| tf.GraphOptions | tf.compat.v1.GraphOptions | |
| tf.HistogramProto | tf.compat.v1.HistogramProto | |
| tf.IdentityReader | tf.compat.v1.IdentityReader | |
| tf.IndexedSlices | | tf.IndexedSlices |
| tf.InteractiveSession | tf.compat.v1.InteractiveSession | |
| tf.LMDBReader | tf.compat.v1.LMDBReader | |
| tf.LogMessage | tf.compat.v1.LogMessage | |
| tf.MetaGraphDef | tf.compat.v1.MetaGraphDef | |
| tf.NameAttrList | tf.compat.v1.NameAttrList | |
| tf.NoGradient | tf.no_gradient | |
| tf.NodeDef | tf.compat.v1.NodeDef | |
| tf.NotDifferentiable | tf.no_gradient | |
| tf.OpError | tf.errors.OpError | |
| tf.Operation | | tf.Operation |
| tf.OptimizerOptions | tf.compat.v1.OptimizerOptions | |
| tf.PaddingFIFOQueue | tf.queue.PaddingFIFOQueue | |
| tf.Print | tf.compat.v1.Print | tf.print |
| tf.PriorityQueue | tf.queue.PriorityQueue | |
| tf.QueueBase | tf.queue.QueueBase | |
| tf.RandomShuffleQueue | tf.queue.RandomShuffleQueue | |
| tf.ReaderBase | tf.compat.v1.ReaderBase | |
| tf.RegisterGradient | | tf.RegisterGradient |
| tf.RunMetadata | tf.compat.v1.RunMetadata | |
| tf.RunOptions | tf.compat.v1.RunOptions | |
| tf.Session | tf.compat.v1.Session | |
| tf.SessionLog | tf.compat.v1.SessionLog | |
| tf.SparseConditionalAccumulator | tf.sparse.SparseConditionalAccumulator | |
| tf.SparseFeature | tf.io.SparseFeature | |
| tf.SparseTensor | | tf.SparseTensor |
| tf.SparseTensorValue | tf.compat.v1.SparseTensorValue | |
| tf.Summary | tf.compat.v1.Summary | |
| tf.SummaryMetadata | tf.compat.v1.SummaryMetadata | |
| tf.TFRecordReader | tf.compat.v1.TFRecordReader | |
| tf.Tensor | | tf.Tensor |
| tf.TensorArray | | tf.TensorArray |
| tf.TensorInfo | tf.compat.v1.TensorInfo | |
| tf.TensorShape | | tf.TensorShape |
| tf.TextLineReader | tf.compat.v1.TextLineReader | |
| tf.VarLenFeature | tf.io.VarLenFeature | |
| tf.Variable | | tf.Variable |
| tf.Variable.SaveSliceInfo | | tf.Variable.SaveSliceInfo |
| tf.VariableAggregation | | tf.VariableAggregation |
| tf.VariableScope | tf.compat.v1.VariableScope | |
| tf.VariableSynchronization | | tf.VariableSynchronization |
| tf.WholeFileReader | tf.compat.v1.WholeFileReader | |
| tf.abs | | tf.abs |
| tf.accumulate_n | tf.math.accumulate_n | |
| tf.acos | | tf.acos |
| tf.acosh | | tf.acosh |
| tf.add | | tf.add |
| tf.add_check_numerics_ops | tf.compat.v1.add_check_numerics_ops | |
| tf.add_n | | tf.add_n |
| tf.add_to_collection | tf.compat.v1.add_to_collection | |
| tf.add_to_collections | tf.compat.v1.add_to_collections | |
| tf.all_variables | tf.global_variables / tf.compat.v1.all_variables | |
| tf.angle | tf.math.angle | |
| tf.app | | |
| tf.app.flags | | |
| tf.app.run | tf.compat.v1.app.run | |
| tf.arg_max | tf.argmax | |
| tf.arg_min | tf.argmin | |
| tf.argmax | | tf.argmax |
| tf.argmin | | tf.argmin |
| tf.as_dtype | | tf.as_dtype |
| tf.as_string | | tf.as_string |
| tf.asin | | tf.asin |
| tf.asinh | | tf.asinh |
| tf.assert_equal | tf.compat.v1.assert_equal | tf.assert_equal |
| tf.assert_greater | tf.compat.v1.assert_greater | tf.assert_greater |
| tf.assert_greater_equal | tf.compat.v1.assert_greater_equal | |
| tf.assert_integer | tf.compat.v1.assert_integer | |
| tf.assert_less | tf.compat.v1.assert_less | tf.assert_less |
| tf.assert_less_equal | tf.compat.v1.assert_less_equal | |
| tf.assert_near | tf.compat.v1.assert_near | |
| tf.assert_negative | tf.compat.v1.assert_negative | |
| tf.assert_non_negative | tf.compat.v1.assert_non_negative | |
| tf.assert_non_positive | tf.compat.v1.assert_non_positive | |
| tf.assert_none_equal | tf.compat.v1.assert_none_equal | |
| tf.assert_positive | tf.compat.v1.assert_positive | |
| tf.assert_proper_iterable | tf.debugging.assert_proper_iterable | |
| tf.assert_rank | tf.compat.v1.assert_rank | tf.assert_rank |
| tf.assert_rank_at_least | tf.compat.v1.assert_rank_at_least | |
| tf.assert_rank_in | tf.compat.v1.assert_rank_in | |
| tf.assert_same_float_dtype | tf.debugging.assert_same_float_dtype | |
| tf.assert_scalar | tf.compat.v1.assert_scalar | |
| tf.assert_type | tf.compat.v1.assert_type | |
| tf.assert_variables_initialized | tf.compat.v1.assert_variables_initialized | |
| tf.assign | tf.compat.v1.assign | |
| tf.assign_add | tf.compat.v1.assign_add | |
| tf.assign_sub | tf.compat.v1.assign_sub | |
| tf.atan | | tf.atan |
| tf.atan2 | | tf.atan2 |
| tf.atanh | | tf.atanh |
| tf.batch_gather | tf.gather | |
| tf.batch_scatter_update | tf.compat.v1.batch_scatter_update | |
| tf.batch_to_space | | tf.batch_to_space |
| tf.batch_to_space_nd | tf.batch_to_space | |
| tf.betainc | tf.math.betainc | |
| tf.bincount | tf.math.bincount | |
| tf.bitcast | | tf.bitcast |
| tf.bitwise | | tf.bitwise |
| tf.bitwise.bitwise_and | | tf.bitwise.bitwise_and |
| tf.bitwise.bitwise_or | | tf.bitwise.bitwise_or |
| tf.bitwise.bitwise_xor | | tf.bitwise.bitwise_xor |
| tf.bitwise.invert | | tf.bitwise.invert |
| tf.bitwise.left_shift | | tf.bitwise.left_shift |
| tf.bitwise.right_shift | | tf.bitwise.right_shift |
| tf.boolean_mask | | tf.boolean_mask |
| tf.broadcast_dynamic_shape | | tf.broadcast_dynamic_shape |
| tf.broadcast_static_shape | | tf.broadcast_static_shape |
| tf.broadcast_to | | tf.broadcast_to |
| tf.case | | tf.case |
| tf.cast | | tf.cast |
| tf.ceil | tf.math.ceil | |
| tf.check_numerics | tf.debugging.check_numerics | |
| tf.cholesky | tf.linalg.cholesky | |
| tf.cholesky_solve | tf.linalg.cholesky_solve | |
| tf.clip_by_average_norm | tf.compat.v1.clip_by_average_norm | |
| tf.clip_by_global_norm | | tf.clip_by_global_norm |
| tf.clip_by_norm | | tf.clip_by_norm |
| tf.clip_by_value | | tf.clip_by_value |
| tf.colocate_with | tf.compat.v1.colocate_with | |
| tf.compat | | tf.compat |
| tf.compat.as_bytes | | tf.compat.as_bytes |
| tf.compat.as_str | | tf.compat.as_str |
| tf.compat.as_str_any | | tf.compat.as_str_any |
| tf.compat.as_text | | tf.compat.as_text |
| tf.compat.forward_compatibility_horizon | | tf.compat.forward_compatibility_horizon |
| tf.compat.forward_compatible | | tf.compat.forward_compatible |
| tf.compat.path_to_str | | tf.compat.path_to_str |
| tf.complex | | tf.complex |
| tf.concat | | tf.concat |
| tf.cond | | tf.cond |
| tf.confusion_matrix | tf.math.confusion_matrix | |
| tf.conj | tf.math.conj | |
| tf.constant | | tf.constant |
| tf.constant_initializer | tf.compat.v1.initializers.constant | tf.constant_initializer |
| tf.container | tf.compat.v1.container | |
| tf.contrib | | |
| tf.contrib.all_reduce | | |
| tf.contrib.all_reduce.build_nccl_all_reduce | | |
| tf.contrib.all_reduce.build_nccl_then_recursive_hd | | |
| tf.contrib.all_reduce.build_nccl_then_ring | | replaced by |
| tf.contrib.all_reduce.build_nccl_then_shuffle | | DistributionStrategy |
| tf.contrib.all_reduce.build_recursive_hd_all_reduce | | |
| tf.contrib.all_reduce.build_ring_all_reduce | | |
| tf.contrib.all_reduce.build_shuffle_all_reduce | | |
| tf.contrib.all_reduce.build_shuffle_then_ring | | |
| tf.contrib.all_reduce.build_shuffle_then_shuffle | | |
| tf.contrib.autograph | | reworked in tf.autograph, no 1:1 map |
| tf.contrib.autograph.AutographParseError | | |
| tf.contrib.autograph.ConversionOptions | | |
| tf.contrib.autograph.GraphConstructionError | | |
| tf.contrib.autograph.RunMode | | |
| tf.contrib.autograph.TfRuntimeError | | |
| tf.contrib.autograph.convert | | |
| tf.contrib.autograph.converted_call | | |
| tf.contrib.autograph.do_not_convert | | |
| tf.contrib.autograph.improved_errors | | |
| tf.contrib.autograph.set_element_type | | |
| tf.contrib.autograph.set_loop_options | | |
| tf.contrib.autograph.stack | | |
| tf.contrib.autograph.tensor_list | | |
| tf.contrib.autograph.to_code | | |
| tf.contrib.autograph.to_graph | | |
| tf.contrib.batching | | deleted |
| tf.contrib.batching.batch_function | | |
| tf.contrib.bayesflow | | tfp |
| tf.contrib.bayesflow.monte_carlo | | tfp.monte_carlo |
| tf.contrib.bayesflow.monte_carlo.expectation | | tfp.monte_carlo.expectation |
| tf.contrib.bayesflow.monte_carlo.expectation_importance_sampler | | |
| tf.contrib.bayesflow.monte_carlo.expectation_importance_sampler_logspace | | |
| tf.contrib.bigtable | | tf.data? |
| tf.contrib.bigtable.BigtableClient | | |
| tf.contrib.bigtable.BigtableTable | | |
| tf.contrib.checkpoint | | |
| tf.contrib.checkpoint.CheckpointManager | | |
| tf.contrib.checkpoint.Checkpointable | | |
| tf.contrib.checkpoint.CheckpointableBase | | |
| tf.contrib.checkpoint.CheckpointableObjectGraph | | |
| tf.contrib.checkpoint.CheckpointableObjectGraph.CheckpointableObject | | |
| tf.contrib.checkpoint.CheckpointableObjectGraph.CheckpointableObject.ObjectReference | | |
| tf.contrib.checkpoint.CheckpointableObjectGraph.CheckpointableObject.SerializedTensor | | |
| tf.contrib.checkpoint.CheckpointableObjectGraph.CheckpointableObject.SlotVariableReference | | |
| tf.contrib.checkpoint.List | | |
| tf.contrib.checkpoint.Mapping | | |
| tf.contrib.checkpoint.NoDependency | | |
| tf.contrib.checkpoint.NumpyState | | |
| tf.contrib.checkpoint.PythonStateWrapper | | |
| tf.contrib.checkpoint.UniqueNameTracker | | |
| tf.contrib.checkpoint.capture_dependencies | | |
| tf.contrib.checkpoint.dot_graph_from_checkpoint | | |
| tf.contrib.checkpoint.list_objects | | |
| tf.contrib.checkpoint.object_metadata | | |
| tf.contrib.checkpoint.split_dependency | | |
| tf.contrib.cloud | | tf.data? |
| tf.contrib.cloud.BigQueryReader | | |
| tf.contrib.cloud.BigtableClient | | |
| tf.contrib.cloud.BigtableTable | | |
| tf.contrib.cloud.BlockCacheParams | | |
| tf.contrib.cloud.ConfigureGcsHook | | |
| tf.contrib.cloud.configure_colab_session | | |
| tf.contrib.cloud.configure_gcs | | |
| tf.contrib.cluster_resolver | | tf.distribute.cluster_resolver |
| tf.contrib.cluster_resolver.ClusterResolver | | tf.distribute.cluster_resolver.ClusterResolver |
| tf.contrib.cluster_resolver.GceClusterResolver | | tf.distribute.cluster_resolver.GCEClusterResolver |
| tf.contrib.cluster_resolver.SimpleClusterResolver | | tf.distribute.cluster_resolver.SimpleClusterResolver |
| tf.contrib.cluster_resolver.TPUClusterResolver | | tf.distribute.cluster_resolver.TPUClusterResolver |
| tf.contrib.cluster_resolver.UnionClusterResolver | | tf.distribute.cluster_resolver.UnionResolver |
| tf.contrib.coder | | tensorflow/compression? |
| tf.contrib.compiler | | moved to core? |
| tf.contrib.constrained_optimization | | separate repo? |
| tf.contrib.constrained_optimization.AdditiveExternalRegretOptimizer | | |
| tf.contrib.constrained_optimization.AdditiveSwapRegretOptimizer | | |
| tf.contrib.constrained_optimization.ConstrainedMinimizationProblem | | |
| tf.contrib.constrained_optimization.ConstrainedOptimizer | | |
| tf.contrib.constrained_optimization.MultiplicativeSwapRegretOptimizer | | |
| tf.contrib.constrained_optimization.find_best_candidate_distribution | | |
| tf.contrib.constrained_optimization.find_best_candidate_index | | |
| tf.contrib.copy_graph | | delete (no owner) |
| tf.contrib.copy_graph.copy_op_to_graph | | |
| tf.contrib.copy_graph.copy_variable_to_graph | | |
| tf.contrib.copy_graph.get_copied_op | | |
| tf.contrib.crf | | moved to tfp (but I think it’s addons?) |
| tf.contrib.crf.CrfDecodeBackwardRnnCell | | |
| tf.contrib.crf.CrfDecodeForwardRnnCell | | |
| tf.contrib.crf.CrfForwardRnnCell | | |
| tf.contrib.crf.crf_binary_score | | |
| tf.contrib.crf.crf_decode | | |
| tf.contrib.crf.crf_log_likelihood | | |
| tf.contrib.crf.crf_log_norm | | |
| tf.contrib.crf.crf_multitag_sequence_score | | |
| tf.contrib.crf.crf_sequence_score | | |
| tf.contrib.crf.crf_unary_score | | |
| tf.contrib.crf.viterbi_decode | | |
| tf.contrib.cudnn_rnn | | tf.keras.layers? |
| tf.contrib.cudnn_rnn.CudnnCompatibleGRUCell | | |
| tf.contrib.cudnn_rnn.CudnnCompatibleLSTMCell | | |
| tf.contrib.cudnn_rnn.CudnnGRU | | |
| tf.contrib.cudnn_rnn.CudnnGRUSaveable | | |
| tf.contrib.cudnn_rnn.CudnnLSTM | | |
| tf.contrib.cudnn_rnn.CudnnLSTMSaveable | | |
| tf.contrib.cudnn_rnn.CudnnRNNRelu | | |
| tf.contrib.cudnn_rnn.CudnnRNNReluSaveable | | |
| tf.contrib.cudnn_rnn.CudnnRNNTanh | | |
| tf.contrib.cudnn_rnn.CudnnRNNTanhSaveable | | |
| tf.contrib.data | | tf.data |
| tf.contrib.data.CheckpointInputPipelineHook | | tf.data.experimental.CheckpointInputPipelineHook |
| tf.contrib.data.Counter | | tf.data.experimental.Counter |
| tf.contrib.data.CsvDataset | | tf.data.experimental.CsvDataset |
| tf.contrib.data.LMDBDataset | | |
| tf.contrib.data.Optional | | tf.data.experimental.Optional |
| tf.contrib.data.RandomDataset | | tf.data.experimental.RandomDataset |
| tf.contrib.data.Reducer | | tf.data.experimental.Reducer |
| tf.contrib.data.SqlDataset | | tf.data.experimental.SqlDataset |
| tf.contrib.data.TFRecordWriter | | tf.data.experimental.TFRecordWriter |
| tf.contrib.data.assert_element_shape | | tf.data.experimental.assert_element_shape |
| tf.contrib.data.batch_and_drop_remainder | | tf.compat.v1.contrib.data.batch_and_drop_remainder |
| tf.contrib.data.bucket_by_sequence_length | | tf.data.experimental.bucket_by_sequence_length |
| tf.contrib.data.choose_from_datasets | | tf.data.experimental.choose_from_datasets |
| tf.contrib.data.copy_to_device | | tf.data.experimental.copy_to_device |
| tf.contrib.data.dense_to_sparse_batch | | tf.data.experimental.dense_to_sparse_batch |
| tf.contrib.data.enumerate_dataset | | tf.data.experimental.enumerate_dataset |
| tf.contrib.data.get_next_as_optional | | tf.data.experimental.get_next_as_optional |
| tf.contrib.data.get_single_element | | tf.data.experimental.get_single_element |
| tf.contrib.data.group_by_reducer | | tf.data.experimental.group_by_reducer |
| tf.contrib.data.group_by_window | | tf.data.experimental.group_by_window |
| tf.contrib.data.ignore_errors | | tf.data.experimental.ignore_errors |
| tf.contrib.data.make_batched_features_dataset | | tf.data.experimental.make_batched_features_dataset |
| tf.contrib.data.make_csv_dataset | | tf.data.experimental.make_csv_dataset |
| tf.contrib.data.make_saveable_from_iterator | | tf.data.experimental.make_saveable_from_iterator |
| tf.contrib.data.map_and_batch | | tf.data.experimental.map_and_batch |
| tf.contrib.data.padded_batch_and_drop_remainder | | tf.compat.v1.contrib.data.padded_batch_and_drop_remainder |
| tf.contrib.data.parallel_interleave | | tf.data.experimental.parallel_interleave |
| tf.contrib.data.parse_example_dataset | | tf.data.experimental.parse_example_dataset |
| tf.contrib.data.prefetch_to_device | | tf.data.experimental.prefetch_to_device |
| tf.contrib.data.read_batch_features | | tf.compat.v1.contrib.data.read_batch_features |
| tf.contrib.data.reduce_dataset | | tf.compat.v1.contrib.data.reduce_dataset |
| tf.contrib.data.rejection_resample | | tf.data.experimental.rejection_resample |
| tf.contrib.data.sample_from_datasets | | tf.data.experimental.sample_from_datasets |
| tf.contrib.data.scan | | tf.data.experimental.scan |
| tf.contrib.data.shuffle_and_repeat | | tf.data.experimental.shuffle_and_repeat |
| tf.contrib.data.sliding_window_batch | | tf.compat.v1.contrib.data.sliding_window_batch |
| tf.contrib.data.sloppy_interleave | | tf.compat.v1.contrib.data.sloppy_interleave |
| tf.contrib.data.unbatch | | tf.data.experimental.unbatch |
| tf.contrib.data.unique | | tf.data.experimental.unique |
| tf.contrib.decision_trees | | delete |
| tf.contrib.deprecated | | deprecated? |
| tf.contrib.deprecated.audio_summary | | |
| tf.contrib.deprecated.histogram_summary | | tf.summary.histogram |
| tf.contrib.deprecated.image_summary | | |
| tf.contrib.deprecated.merge_all_summaries | | |
| tf.contrib.deprecated.merge_summary | | |
| tf.contrib.deprecated.scalar_summary | | tf.summary.scalar |
| tf.contrib.distribute | | tf.distribute |
| tf.contrib.distribute.AllReduceCrossTowerOps | | |
| tf.contrib.distribute.CollectiveAllReduceStrategy | | |
| tf.contrib.distribute.CrossTowerOps | | |
| tf.contrib.distribute.DistributeConfig | | |
| tf.contrib.distribute.DistributionStrategy | | |
| tf.contrib.distribute.MirroredStrategy | | tf.distribute.MirroredStrategy |
| tf.contrib.distribute.Monitor | | |
| tf.contrib.distribute.OneDeviceStrategy | | |
| tf.contrib.distribute.ParameterServerStrategy | | tf.distribute.experimental.ParameterServerStrategy |
| tf.contrib.distribute.ReductionToOneDeviceCrossTowerOps | | |
| tf.contrib.distribute.StandardInputStep | | |
| tf.contrib.distribute.StandardSingleLossStep | | |
| tf.contrib.distribute.Step | | |
| tf.contrib.distribute.TPUStrategy | | tf.distribute.experimental.TPUStrategy |
| tf.contrib.distribute.TowerContext | | |
| tf.contrib.distribute.UpdateContext | | |
| tf.contrib.distribute.get_cross_tower_context | | |
| tf.contrib.distribute.get_distribution_strategy | | |
| tf.contrib.distribute.get_loss_reduction | | |
| tf.contrib.distribute.get_tower_context | | |
| tf.contrib.distribute.has_distribution_strategy | | |
| tf.contrib.distribute.require_tower_context | | |
| tf.contrib.distribute.run_standard_tensorflow_server | | |
| tf.contrib.distributions | | tfp.distributions |
| tf.contrib.distributions.Autoregressive | | tfp.distributions.Autoregressive |
| tf.contrib.distributions.BatchReshape | | tfp.distributions.BatchReshape |
| tf.contrib.distributions.Bernoulli | | tfp.distributions.Bernoulli |
| tf.contrib.distributions.Beta | | tfp.distributions.Beta |
| tf.contrib.distributions.BetaWithSoftplusConcentration | | tfp.distributions.BetaWithSoftplusConcentration |
| tf.contrib.distributions.Binomial | | tfp.distributions.Binomial |
| tf.contrib.distributions.Categorical | | tfp.distributions.Categorical |
| tf.contrib.distributions.Cauchy | | tfp.distributions.Cauchy |
| tf.contrib.distributions.Chi2 | | tfp.distributions.Chi2 |
| tf.contrib.distributions.Chi2WithAbsDf | | tfp.distributions.Chi2WithAbsDf |
| tf.contrib.distributions.ConditionalDistribution | | tfp.distributions.ConditionalDistribution |
| tf.contrib.distributions.ConditionalTransformedDistribution | | tfp.distributions.ConditionalTransformedDistribution |
| tf.contrib.distributions.Deterministic | | tfp.distributions.Deterministic |
| tf.contrib.distributions.Dirichlet | | tfp.distributions.Dirichlet |
| tf.contrib.distributions.DirichletMultinomial | | tfp.distributions.DirichletMultinomial |
| tf.contrib.distributions.Distribution | | tfp.distributions.Distribution |
| tf.contrib.distributions.ExpRelaxedOneHotCategorical | | tfp.disttributions.ExpRelaxedOneHotCategorical |
| tf.contrib.distributions.Exponential | | tfp.distributions.Exponential |
| tf.contrib.distributions.ExponentialWithSoftplusRate | | tfp.distributions.ExponentialWithSoftplusRate |
| tf.contrib.distributions.Gamma | | tfp.distributions.Gamma |
| tf.contrib.distributions.GammaWithSoftplusConcentrationRate | | tfp.distributions.GammaWithSoftplusConcentrationRate |
| tf.contrib.distributions.Geometric | | tfp.distributions.Geometric |
| tf.contrib.distributions.HalfNormal | | tfp.distributions.HalfNormal |
| tf.contrib.distributions.Independent | | tfp.distributions.Independent |
| tf.contrib.distributions.InverseGamma | | tfp.distributions.InverseGamma |
| tf.contrib.distributions.InverseGammaWithSoftplusConcentrationRate | | tfp.distributions.InverseGammaWithSoftplusCocentrationRate |
| tf.contrib.distributions.Kumaraswamy | | tfp.distributions.Kumaraswamy |
| tf.contrib.distributions.Laplace | | tfp.distributions.Laplace |
| tf.contrib.distributions.LaplaceWithSoftplusScale | | tfp.distributions.LaplaceWithSoftplusScale |
| tf.contrib.distributions.Logistic | | tfp.distributions.Logistic |
| tf.contrib.distributions.Mixture | | tfp.distributions.Mixture |
| tf.contrib.distributions.MixtureSameFamily | | tfp.distributions.MixtureSameFamily |
| tf.contrib.distributions.Multinomial | | tfp.distributions.Multinomial |
| tf.contrib.distributions.MultivariateNormalDiag | | tfp.distributions.MultivariateNormalDiag |
| tf.contrib.distributions.MultivariateNormalDiagPlusLowRank | | tfp.distributions.MultivariateNormalDiagPlusLowRank |
| tf.contrib.distributions.MultivariateNormalDiagWithSoftplusScale | | tfp.distributions.MultivariateNormalDiagWithSoftplusScale |
| tf.contrib.distributions.MultivariateNormalFullCovariance | | tfp.distributions.MultivariateNormalFullCovariance |
| tf.contrib.distributions.MultivariateNormalTriL | | tfp.distributions.MultivariateNormalTriL |
| tf.contrib.distributions.NegativeBinomial | | tfp.distributions.NegativeBinomial |
| tf.contrib.distributions.Normal | | tfp.distributions.Normal |
| tf.contrib.distributions.NormalWithSoftplusScale | | tfp.distributions.NormalWithSoftplusScale |
| tf.contrib.distributions.OneHotCategorical | | tfp.distributions.OneHotCategorical |
| tf.contrib.distributions.Poisson | | tfp.distributions.Poisson |
| tf.contrib.distributions.PoissonLogNormalQuadratureCompound | | tfp.distributions.PoissonLogNormalQuadratureCompound |
| tf.contrib.distributions.QuantizedDistribution | | tfp.distributions.QuantizedDistribution |
| tf.contrib.distributions.RegisterKL | | tfp.distributions.RegisterKL |
| tf.contrib.distributions.RelaxedBernoulli | | tfp.distributions.RelaxedBernoulli |
| tf.contrib.distributions.RelaxedOneHotCategorical | | tfp.distributions.RelaxedOneHotCategorical |
| tf.contrib.distributions.ReparameterizationType | | tfp.distributions.ReparameterizationType |
| tf.contrib.distributions.SeedStream | | tfp.distributions.SeedStream |
| tf.contrib.distributions.SinhArcsinh | | tfp.distributions.SinhArcsinh |
| tf.contrib.distributions.StudentT | | tfp.distributions.StudentT |
| tf.contrib.distributions.StudentTWithAbsDfSoftplusScale | | tfp.distributions.StudentTWithAbsDfSoftplusScale |
| tf.contrib.distributions.TransformedDistribution | | tfp.distributions.TransformedDistribution |
| tf.contrib.distributions.Uniform | | tfp.distributions.Uniform |
| tf.contrib.distributions.VectorDeterministic | | tfp.distributions.VectorDeterministic |
| tf.contrib.distributions.VectorDiffeomixture | | tfp.distributions.VectorDiffeomixture |
| tf.contrib.distributions.VectorExponentialDiag | | tfp.distributions.VectorExponentialDiag |
| tf.contrib.distributions.VectorLaplaceDiag | | tfp.distributions.VectorLaplaceDiag |
| tf.contrib.distributions.VectorSinhArcsinhDiag | | tfp.distributions.VectorSinhArcsinhDiag |
| tf.contrib.distributions.WishartCholesky | | tfp.distributions.WishartCholesky |
| tf.contrib.distributions.WishartFull | | tfp.distributions.WishartFull |
| tf.contrib.distributions.assign_log_moving_mean_exp | | tfp.distributions.assign_log_moving_mean_exp |
| tf.contrib.distributions.assign_moving_mean_variance | | tfp.distributions.assign_moving_mean_variance |
| tf.contrib.distributions.auto_correlation | | tfp.distributions.auto_correlation |
| tf.contrib.distributions.bijectors | | tfp.distributions.bijectors |
| tf.contrib.distributions.bijectors.AbsoluteValue | | tfp.distributions.bijectors.AbsoluteValue |
| tf.contrib.distributions.bijectors.Affine | | tfp.distributions.bijectors.Affine |
| tf.contrib.distributions.bijectors.AffineLinearOperator | | tfp.distributions.bijectors.AffineLinearOperator |
| tf.contrib.distributions.bijectors.AffineScalar | | tfp.distributions.bijectors.AffineScalar |
| tf.contrib.distributions.bijectors.BatchNormalization | | tfp.distributions.bijectors.BatchNormalization |
| tf.contrib.distributions.bijectors.Bijector | | tfp.distributions.bijectors.Bijector |
| tf.contrib.distributions.bijectors.Chain | | tfp.distributions.bijectors.Chain |
| tf.contrib.distributions.bijectors.CholeskyOuterProduct | | tfp.distributions.bijectors.CholeskyOuterProduct |
| tf.contrib.distributions.bijectors.ConditionalBijector | | tfp.distributions.bijectors.ConditionalBijector |
| tf.contrib.distributions.bijectors.Exp | | tfp.distributions.bijectors.Exp |
| tf.contrib.distributions.bijectors.FillTriangular | | tfp.distributions.bijectors.FillTriangular |
| tf.contrib.distributions.bijectors.Gumbel | | tfp.distributions.bijectors.Gumbel |
| tf.contrib.distributions.bijectors.Identity | | tfp.distributions.bijectors.Identity |
| tf.contrib.distributions.bijectors.Inline | | tfp.distributions.bijectors.Inline |
| tf.contrib.distributions.bijectors.Invert | | tfp.distributions.bijectors.Invert |
| tf.contrib.distributions.bijectors.Kumaraswamy | | tfp.distributions.bijectors.Kumaraswamy |
| tf.contrib.distributions.bijectors.MaskedAutoregressiveFlow | | tfp.distributions.bijectors.MaskedAutoregressiveFlow |
| tf.contrib.distributions.bijectors.MatrixInverseTriL | | tfp.distributions.bijectors.MatrixInverseTriL |
| tf.contrib.distributions.bijectors.Ordered | | tfp.distributions.bijectors.Ordered |
| tf.contrib.distributions.bijectors.Permute | | tfp.distributions.bijectors.Permute |
| tf.contrib.distributions.bijectors.PowerTransform | | tfp.distributions.bijectors.PowerTransform |
| tf.contrib.distributions.bijectors.RealNVP | | tfp.distributions.bijectors.RealNVP |
| tf.contrib.distributions.bijectors.Reshape | | tfp.distributions.bijectors.Reshape |
| tf.contrib.distributions.bijectors.ScaleTriL | | tfp.distributions.bijectors.ScaleTriL |
| tf.contrib.distributions.bijectors.Sigmoid | | tfp.distributions.bijectors.Sigmoid |
| tf.contrib.distributions.bijectors.SinhArcsinh | | tfp.distributions.bijectors.SinhArcsinh |
| tf.contrib.distributions.bijectors.SoftmaxCentered | | tfp.distributions.bijectors.SoftmaxCentered |
| tf.contrib.distributions.bijectors.Softplus | | tfp.distributions.bijectors.Softplus |
| tf.contrib.distributions.bijectors.Softsign | | tfp.distributions.bijectors.Softsign |
| tf.contrib.distributions.bijectors.Square | | tfp.distributions.bijectors.Square |
| tf.contrib.distributions.bijectors.TransformDiagonal | | tfp.distributions.bijectors.TransformDiagonal |
| tf.contrib.distributions.bijectors.masked_autoregressive_default_template | | tfp.distributions.bijectors.masked_autoregressive_default_template |
| tf.contrib.distributions.bijectors.masked_dense | | tfp.distributions.bijectors.masked_dense |
| tf.contrib.distributions.bijectors.real_nvp_default_template | | tfp.distributions.bijectors.real_nvp_default_template |
| tf.contrib.distributions.estimator_head_distribution_regression | | |
| tf.contrib.distributions.fill_triangular | | tfp.distributions.fill_triangular |
| tf.contrib.distributions.fill_triangular_inverse | | tfp.distributions.fill_triangular_inverse |
| tf.contrib.distributions.kl_divergence | | tfp.distributions.kl_divergence |
| tf.contrib.distributions.matrix_diag_transform | | tfp.distributions.matrix_diag_transform |
| tf.contrib.distributions.moving_mean_variance | | tfp.distributions.moving_mean_variance |
| tf.contrib.distributions.normal_conjugates_known_scale_posterior | | tfp.distributions.normal_conjugates_known_scale_posterior |
| tf.contrib.distributions.normal_conjugates_known_scale_predictive | | tfp.distributions.normal_conjugates_known_scale_predictive |
| tf.contrib.distributions.percentile | | tfp.distributions.percentile |
| tf.contrib.distributions.quadrature_scheme_lognormal_gauss_hermite | | tfp.distributions.quadrature_scheme_lognormal_gauss_hermite |
| tf.contrib.distributions.quadrature_scheme_lognormal_quantiles | | tfp.distributions.quadrature_scheme_lognormal_quantiles |
| tf.contrib.distributions.quadrature_scheme_softmaxnormal_gauss_hermite | | tfp.distributions.quadrature_scheme_softmaxnormal_gauss_hermite |
| tf.contrib.distributions.quadrature_scheme_softmaxnormal_quantiles | | tfp.distributions.quadrature_scheme_softmaxnormal_quantiles |
| tf.contrib.distributions.reduce_weighted_logsumexp | | tfp.distributions.reduce_weighted_logsumexp |
| tf.contrib.distributions.softplus_inverse | | tfp.distributions.softplus_inverse |
| tf.contrib.distributions.tridiag | | tfp.distributions.tridiag |
| tf.contrib.eager | | moved to core |
| tf.contrib.eager.Checkpoint | | |
| tf.contrib.eager.Checkpointable | | |
| tf.contrib.eager.CheckpointableSaver | | |
| tf.contrib.eager.EagerVariableStore | | |
| tf.contrib.eager.GradientTape | | |
| tf.contrib.eager.Iterator | | |
| tf.contrib.eager.Network | | |
| tf.contrib.eager.Saver | | |
| tf.contrib.eager.Sequential | | |
| tf.contrib.eager.TensorSpec | | |
| tf.contrib.eager.Variable | | |
| tf.contrib.eager.Variable.SaveSliceInfo | | |
| tf.contrib.eager.add_execution_callback | | |
| tf.contrib.eager.async_clear_error | | |
| tf.contrib.eager.async_wait | | |
| tf.contrib.eager.clear_execution_callbacks | | |
| tf.contrib.eager.connect_to_remote_host | | |
| tf.contrib.eager.custom_gradient | | |
| tf.contrib.eager.defun | | |
| tf.contrib.eager.enable_eager_execution | | |
| tf.contrib.eager.enable_remote_eager_execution | | |
| tf.contrib.eager.executing_eagerly | | |
| tf.contrib.eager.execution_mode | | |
| tf.contrib.eager.get_optimizer_variables | | |
| tf.contrib.eager.gradients_function | | |
| tf.contrib.eager.implicit_gradients | | |
| tf.contrib.eager.implicit_value_and_gradients | | |
| tf.contrib.eager.in_eager_mode | | |
| tf.contrib.eager.inf_callback | | |
| tf.contrib.eager.inf_nan_callback | | |
| tf.contrib.eager.list_devices | | |
| tf.contrib.eager.make_template | | |
| tf.contrib.eager.metrics | | |
| tf.contrib.eager.metrics.Accuracy | | |
| tf.contrib.eager.metrics.BinaryAccuracy | | |
| tf.contrib.eager.metrics.CategoricalAccuracy | | |
| tf.contrib.eager.metrics.Mean | | |
| tf.contrib.eager.metrics.Metric | | |
| tf.contrib.eager.metrics.SparseAccuracy | | |
| tf.contrib.eager.nan_callback | | |
| tf.contrib.eager.num_gpus | | |
| tf.contrib.eager.py_func | | |
| tf.contrib.eager.restore_network_checkpoint | | |
| tf.contrib.eager.restore_variables_on_create | | |
| tf.contrib.eager.run | | |
| tf.contrib.eager.run_all_tests_in_graph_and_eager_modes | | |
| tf.contrib.eager.run_test_in_graph_and_eager_modes | | |
| tf.contrib.eager.save_network_checkpoint | | |
| tf.contrib.eager.set_execution_mode | | |
| tf.contrib.eager.set_server_def | | |
| tf.contrib.eager.seterr | | |
| tf.contrib.eager.value_and_gradients_function | | |
| tf.contrib.estimator | | tf.estimator |
| tf.contrib.estimator.BaselineEstimator | | tf.estimator.BaselineEstimator |
| tf.contrib.estimator.DNNClassifierWithLayerAnnotations | | |
| tf.contrib.estimator.DNNEstimator | | tf.estimator.DNNEstimator |
| tf.contrib.estimator.DNNLinearCombinedEstimator | | tf.estimator.DNNLinearCombinedEstimator |
| tf.contrib.estimator.DNNRegressorWithLayerAnnotations | | |
| tf.contrib.estimator.InMemoryEvaluatorHook | | |
| tf.contrib.estimator.LinearEstimator | | tf.estimator.LinearEstimator |
| tf.contrib.estimator.RNNClassifier | | |
| tf.contrib.estimator.RNNEstimator | | |
| tf.contrib.estimator.SavedModelEstimator | | |
| tf.contrib.estimator.TowerOptimizer | | |
| tf.contrib.estimator.add_metrics | | tf.estimator.add_metrics |
| tf.contrib.estimator.binary_classification_head | | |
| tf.contrib.estimator.boosted_trees_classifier_train_in_memory | | |
| tf.contrib.estimator.boosted_trees_regressor_train_in_memory | | |
| tf.contrib.estimator.build_raw_supervised_input_receiver_fn | | |
| tf.contrib.estimator.build_supervised_input_receiver_fn_from_input_fn | | |
| tf.contrib.estimator.call_logit_fn | | tf.estimator.experimental.call_logit_fn |
| tf.contrib.estimator.clip_gradients_by_norm | | |
| tf.contrib.estimator.dnn_logit_fn_builder | | tf.estimator.experimental.dnn_logit_fn_builder |
| tf.contrib.estimator.export_all_saved_models | | |
| tf.contrib.estimator.export_saved_model_for_mode | | |
| tf.contrib.estimator.forward_features | | |
| tf.contrib.estimator.linear_logit_fn_builder | | tf.estimator.experimental.linear_logit_fn_builder |
| tf.contrib.estimator.logistic_regression_head | | |
| tf.contrib.estimator.make_early_stopping_hook | | tf.estimator.experimental.make_early_stopping_hook |
| tf.contrib.estimator.make_stop_at_checkpoint_step_hook | | tf.estimator.experimental.make_stop_at_checkpoint_step_hook |
| tf.contrib.estimator.multi_class_head | | |
| tf.contrib.estimator.multi_head | | |
| tf.contrib.estimator.multi_label_head | | |
| tf.contrib.estimator.poisson_regression_head | | |
| tf.contrib.estimator.read_eval_metrics | | |
| tf.contrib.estimator.regression_head | | |
| tf.contrib.estimator.replicate_model_fn | | |
| tf.contrib.estimator.stop_if_higher_hook | | tf.estimator.experimental.stop_if_higher_hook |
| tf.contrib.estimator.stop_if_lower_hook | | tf.estimator.experimental.stop_if_lower_hook |
| tf.contrib.estimator.stop_if_no_decrease_hook | | tf.estimator.experimental.stop_if_no_decrease_hook |
| tf.contrib.estimator.stop_if_no_increase_hook | | tf.estimator.experimental.stop_if_no_increase_hook |
| tf.contrib.factorization | | rebuild in core? |
| tf.contrib.factorization.GMM | | |
| tf.contrib.factorization.GmmAlgorithm | | |
| tf.contrib.factorization.KMeans | | |
| tf.contrib.factorization.KMeansClustering | | |
| tf.contrib.factorization.WALSMatrixFactorization | | |
| tf.contrib.factorization.WALSModel | | |
| tf.contrib.factorization.gmm | | |
| tf.contrib.feature_column | | tf.feature_column |
| tf.contrib.feature_column.sequence_categorical_column_with_hash_bucket | | tf.feature_column.sequence_categorical_column_with_hash_bucket |
| tf.contrib.feature_column.sequence_categorical_column_with_identity | | tf.feature_column.sequence_categorical_column_with_identity |
| tf.contrib.feature_column.sequence_categorical_column_with_vocabulary_file | | tf.feature_column.sequence_categorical_column_with_vocabulary_file |
| tf.contrib.feature_column.sequence_categorical_column_with_vocabulary_list | | tf.feature_column.sequence_categorical_column_with_vocabulary_list |
| tf.contrib.feature_column.sequence_input_layer | | tf.feature_column.sequence_input_layer |
| tf.contrib.feature_column.sequence_numeric_column | | tf.feature_column.sequence_numeric_column |
| tf.contrib.ffmpeg | | |
| tf.contrib.ffmpeg.decode_audio | | |
| tf.contrib.ffmpeg.decode_video | | |
| tf.contrib.ffmpeg.encode_audio | | |
| tf.contrib.framework | | partially move to core, delete the rest |
| tf.contrib.framework.BoundedTensorSpec | | |
| tf.contrib.framework.CriticalSection | | |
| tf.contrib.framework.RecordInput | | |
| tf.contrib.framework.TensorSpec | | |
| tf.contrib.framework.VariableDeviceChooser | | |
| tf.contrib.framework.add_arg_scope | | |
| tf.contrib.framework.add_model_variable | | |
| tf.contrib.framework.arg_scope | | |
| tf.contrib.framework.arg_scoped_arguments | | |
| tf.contrib.framework.argsort | | tf.argsort / tf.sort / tf.searchsorted |
| tf.contrib.framework.assert_global_step | | |
| tf.contrib.framework.assert_or_get_global_step | | |
| tf.contrib.framework.assert_same_float_dtype | | |
| tf.contrib.framework.assert_scalar | | |
| tf.contrib.framework.assert_scalar_int | | |
| tf.contrib.framework.assign_from_checkpoint | | |
| tf.contrib.framework.assign_from_checkpoint_fn | | |
| tf.contrib.framework.assign_from_values | | |
| tf.contrib.framework.assign_from_values_fn | | |
| tf.contrib.framework.convert_to_tensor_or_sparse_tensor | | |
| tf.contrib.framework.convolutional_delta_orthogonal | | |
| tf.contrib.framework.convolutional_orthogonal_1d | | |
| tf.contrib.framework.convolutional_orthogonal_2d | | |
| tf.contrib.framework.convolutional_orthogonal_3d | | |
| tf.contrib.framework.create_global_step | | |
| tf.contrib.framework.current_arg_scope | | |
| tf.contrib.framework.deprecated | | |
| tf.contrib.framework.deprecated_arg_values | | |
| tf.contrib.framework.deprecated_args | | |
| tf.contrib.framework.filter_variables | | |
| tf.contrib.framework.fuse_op | | |
| tf.contrib.framework.get_global_step | | |
| tf.contrib.framework.get_graph_from_inputs | | |
| tf.contrib.framework.get_local_variables | | |
| tf.contrib.framework.get_model_variables | | |
| tf.contrib.framework.get_name_scope | | |
| tf.contrib.framework.get_or_create_global_step | | |
| tf.contrib.framework.get_placeholders | | |
| tf.contrib.framework.get_trainable_variables | | |
| tf.contrib.framework.get_unique_variable | | |
| tf.contrib.framework.get_variable_full_name | | |
| tf.contrib.framework.get_variables | | |
| tf.contrib.framework.get_variables_by_name | | |
| tf.contrib.framework.get_variables_by_suffix | | |
| tf.contrib.framework.get_variables_to_restore | | |
| tf.contrib.framework.global_variable | | |
| tf.contrib.framework.has_arg_scope | | |
| tf.contrib.framework.init_from_checkpoint | | |
| tf.contrib.framework.is_tensor | | |
| tf.contrib.framework.list_variables | | |
| tf.contrib.framework.load_and_remap_matrix_initializer | | |
| tf.contrib.framework.load_checkpoint | | |
| tf.contrib.framework.load_embedding_initializer | | |
| tf.contrib.framework.load_linear_multiclass_bias_initializer | | |
| tf.contrib.framework.load_variable | | |
| tf.contrib.framework.load_variable_slot_initializer | | |
| tf.contrib.framework.local_variable | | |
| tf.contrib.framework.model_variable | | |
| tf.contrib.framework.nest | | tf.nest |
| tf.contrib.framework.nest.assert_same_structure | | |
| tf.contrib.framework.nest.assert_shallow_structure | | |
| tf.contrib.framework.nest.flatten | | tf.nest.flatten |
| tf.contrib.framework.nest.flatten_dict_items | | |
| tf.contrib.framework.nest.flatten_up_to | | |
| tf.contrib.framework.nest.flatten_with_joined_string_paths | | |
| tf.contrib.framework.nest.get_traverse_shallow_structure | | |
| tf.contrib.framework.nest.is_sequence | | |
| tf.contrib.framework.nest.map_structure | | |
| tf.contrib.framework.nest.map_structure_up_to | | |
| tf.contrib.framework.nest.map_structure_with_paths | | |
| tf.contrib.framework.nest.pack_sequence_as | | |
| tf.contrib.framework.nest.yield_flat_paths | | |
| tf.contrib.framework.prepend_name_scope | | |
| tf.contrib.framework.py_func | | |
| tf.contrib.framework.reduce_sum_n | | |
| tf.contrib.framework.remove_squeezable_dimensions | | |
| tf.contrib.framework.smart_case | | |
| tf.contrib.framework.smart_cond | | |
| tf.contrib.framework.smart_constant_value | | |
| tf.contrib.framework.sort | | tf.sort |
| tf.contrib.framework.strip_name_scope | | |
| tf.contrib.framework.variable | | |
| tf.contrib.framework.with_same_shape | | |
| tf.contrib.framework.with_shape | | |
| tf.contrib.framework.zero_initializer | | |
| tf.contrib.gan | | moving to own repo |
| tf.contrib.gan.ACGANModel | | |
| tf.contrib.gan.CycleGANLoss | | |
| tf.contrib.gan.CycleGANModel | | |
| tf.contrib.gan.GANLoss | | |
| tf.contrib.gan.GANModel | | |
| tf.contrib.gan.GANTrainOps | | |
| tf.contrib.gan.GANTrainSteps | | |
| tf.contrib.gan.InfoGANModel | | |
| tf.contrib.gan.RunTrainOpsHook | | |
| tf.contrib.gan.StarGANModel | | |
| tf.contrib.gan.acgan_model | | |
| tf.contrib.gan.cyclegan_loss | | |
| tf.contrib.gan.cyclegan_model | | |
| tf.contrib.gan.estimator | | |
| tf.contrib.gan.estimator.GANEstimator | | |
| tf.contrib.gan.estimator.GANHead | | |
| tf.contrib.gan.estimator.StarGANEstimator | | |
| tf.contrib.gan.estimator.SummaryType | | |
| tf.contrib.gan.estimator.gan_estimator | | |
| tf.contrib.gan.estimator.gan_estimator.GANEstimator | | |
| tf.contrib.gan.estimator.gan_estimator.SummaryType | | |
| tf.contrib.gan.estimator.gan_head | | |
| tf.contrib.gan.estimator.head | | |
| tf.contrib.gan.estimator.head.GANHead | | |
| tf.contrib.gan.estimator.head.gan_head | | |
| tf.contrib.gan.estimator.stargan_estimator | | |
| tf.contrib.gan.estimator.stargan_estimator.StarGANEstimator | | |
| tf.contrib.gan.estimator.stargan_estimator.SummaryType | | |
| tf.contrib.gan.eval | | |
| tf.contrib.gan.eval.add_cyclegan_image_summaries | | |
| tf.contrib.gan.eval.add_gan_model_image_summaries | | |
| tf.contrib.gan.eval.add_gan_model_summaries | | |
| tf.contrib.gan.eval.add_image_comparison_summaries | | |
| tf.contrib.gan.eval.add_regularization_loss_summaries | | |
| tf.contrib.gan.eval.add_stargan_image_summaries | | |
| tf.contrib.gan.eval.classifier_metrics | | |
| tf.contrib.gan.eval.classifier_metrics.classifier_score | | |
| tf.contrib.gan.eval.classifier_metrics.classifier_score_from_logits | | |
| tf.contrib.gan.eval.classifier_metrics.diagonal_only_frechet_classifier_distance_from_activations | | |
| tf.contrib.gan.eval.classifier_metrics.frechet_classifier_distance | | |
| tf.contrib.gan.eval.classifier_metrics.frechet_classifier_distance_from_activations | | |
| tf.contrib.gan.eval.classifier_metrics.get_graph_def_from_disk | | |
| tf.contrib.gan.eval.classifier_metrics.get_graph_def_from_resource | | |
| tf.contrib.gan.eval.classifier_metrics.get_graph_def_from_url_tarball | | |
| tf.contrib.gan.eval.classifier_metrics.mean_only_frechet_classifier_distance_from_activations | | |
| tf.contrib.gan.eval.classifier_metrics.preprocess_image | | |
| tf.contrib.gan.eval.classifier_metrics.run_image_classifier | | |
| tf.contrib.gan.eval.classifier_metrics.run_inception | | |
| tf.contrib.gan.eval.classifier_score | | |
| tf.contrib.gan.eval.classifier_score_from_logits | | |
| tf.contrib.gan.eval.diagonal_only_frechet_classifier_distance_from_activations | | |
| tf.contrib.gan.eval.eval_utils | | |
| tf.contrib.gan.eval.eval_utils.image_grid | | |
| tf.contrib.gan.eval.eval_utils.image_reshaper | | |
| tf.contrib.gan.eval.frechet_classifier_distance | | |
| tf.contrib.gan.eval.frechet_classifier_distance_from_activations | | |
| tf.contrib.gan.eval.get_graph_def_from_disk | | |
| tf.contrib.gan.eval.get_graph_def_from_resource | | |
| tf.contrib.gan.eval.get_graph_def_from_url_tarball | | |
| tf.contrib.gan.eval.image_grid | | |
| tf.contrib.gan.eval.image_reshaper | | |
| tf.contrib.gan.eval.mean_only_frechet_classifier_distance_from_activations | | |
| tf.contrib.gan.eval.preprocess_image | | |
| tf.contrib.gan.eval.run_image_classifier | | |
| tf.contrib.gan.eval.run_inception | | |
| tf.contrib.gan.eval.sliced_wasserstein_distance | | |
| tf.contrib.gan.eval.summaries | | |
| tf.contrib.gan.eval.summaries.add_cyclegan_image_summaries | | |
| tf.contrib.gan.eval.summaries.add_gan_model_image_summaries | | |
| tf.contrib.gan.eval.summaries.add_gan_model_summaries | | |
| tf.contrib.gan.eval.summaries.add_image_comparison_summaries | | |
| tf.contrib.gan.eval.summaries.add_regularization_loss_summaries | | |
| tf.contrib.gan.eval.summaries.add_stargan_image_summaries | | |
| tf.contrib.gan.features | | |
| tf.contrib.gan.features.VBN | | |
| tf.contrib.gan.features.clip_discriminator_weights | | |
| tf.contrib.gan.features.clip_variables | | |
| tf.contrib.gan.features.condition_tensor | | |
| tf.contrib.gan.features.condition_tensor_from_onehot | | |
| tf.contrib.gan.features.tensor_pool | | |
| tf.contrib.gan.gan_loss | | |
| tf.contrib.gan.gan_model | | |
| tf.contrib.gan.gan_train | | |
| tf.contrib.gan.gan_train_ops | | |
| tf.contrib.gan.get_joint_train_hooks | | |
| tf.contrib.gan.get_sequential_train_hooks | | |
| tf.contrib.gan.get_sequential_train_steps | | |
| tf.contrib.gan.infogan_model | | |
| tf.contrib.gan.losses | | |
| tf.contrib.gan.losses.acgan_discriminator_loss | | |
| tf.contrib.gan.losses.acgan_generator_loss | | |
| tf.contrib.gan.losses.combine_adversarial_loss | | |
| tf.contrib.gan.losses.cycle_consistency_loss | | |
| tf.contrib.gan.losses.least_squares_discriminator_loss | | |
| tf.contrib.gan.losses.least_squares_generator_loss | | |
| tf.contrib.gan.losses.minimax_discriminator_loss | | |
| tf.contrib.gan.losses.minimax_generator_loss | | |
| tf.contrib.gan.losses.modified_discriminator_loss | | |
| tf.contrib.gan.losses.modified_generator_loss | | |
| tf.contrib.gan.losses.mutual_information_penalty | | |
| tf.contrib.gan.losses.stargan_discriminator_loss_wrapper | | |
| tf.contrib.gan.losses.stargan_generator_loss_wrapper | | |
| tf.contrib.gan.losses.stargan_gradient_penalty_wrapper | | |
| tf.contrib.gan.losses.wargs | | |
| tf.contrib.gan.losses.wargs.acgan_discriminator_loss | | |
| tf.contrib.gan.losses.wargs.acgan_generator_loss | | |
| tf.contrib.gan.losses.wargs.combine_adversarial_loss | | |
| tf.contrib.gan.losses.wargs.cycle_consistency_loss | | |
| tf.contrib.gan.losses.wargs.least_squares_discriminator_loss | | |
| tf.contrib.gan.losses.wargs.least_squares_generator_loss | | |
| tf.contrib.gan.losses.wargs.minimax_discriminator_loss | | |
| tf.contrib.gan.losses.wargs.minimax_generator_loss | | |
| tf.contrib.gan.losses.wargs.modified_discriminator_loss | | |
| tf.contrib.gan.losses.wargs.modified_generator_loss | | |
| tf.contrib.gan.losses.wargs.mutual_information_penalty | | |
| tf.contrib.gan.losses.wargs.wasserstein_discriminator_loss | | |
| tf.contrib.gan.losses.wargs.wasserstein_generator_loss | | |
| tf.contrib.gan.losses.wargs.wasserstein_gradient_penalty | | |
| tf.contrib.gan.losses.wasserstein_discriminator_loss | | |
| tf.contrib.gan.losses.wasserstein_generator_loss | | |
| tf.contrib.gan.losses.wasserstein_gradient_penalty | | |
| tf.contrib.gan.stargan_loss | | |
| tf.contrib.gan.stargan_model | | |
| tf.contrib.graph_editor | | deprecated |
| tf.contrib.graph_editor.ControlOutputs | | |
| tf.contrib.graph_editor.SubGraphView | | |
| tf.contrib.graph_editor.Transformer | | |
| tf.contrib.graph_editor.TransformerInfo | | |
| tf.contrib.graph_editor.add_control_inputs | | |
| tf.contrib.graph_editor.assign_renamed_collections_handler | | |
| tf.contrib.graph_editor.bypass | | |
| tf.contrib.graph_editor.can_be_regex | | |
| tf.contrib.graph_editor.check_cios | | |
| tf.contrib.graph_editor.compute_boundary_ts | | |
| tf.contrib.graph_editor.connect | | |
| tf.contrib.graph_editor.copy | | |
| tf.contrib.graph_editor.copy_op_handler | | |
| tf.contrib.graph_editor.copy_with_input_replacements | | |
| tf.contrib.graph_editor.detach | | |
| tf.contrib.graph_editor.detach_control_inputs | | |
| tf.contrib.graph_editor.detach_control_outputs | | |
| tf.contrib.graph_editor.detach_inputs | | |
| tf.contrib.graph_editor.detach_outputs | | |
| tf.contrib.graph_editor.edit | | |
| tf.contrib.graph_editor.filter_ops | | |
| tf.contrib.graph_editor.filter_ops_from_regex | | |
| tf.contrib.graph_editor.filter_ts | | |
| tf.contrib.graph_editor.filter_ts_from_regex | | |
| tf.contrib.graph_editor.get_backward_walk_ops | | |
| tf.contrib.graph_editor.get_consuming_ops | | |
| tf.contrib.graph_editor.get_forward_walk_ops | | |
| tf.contrib.graph_editor.get_generating_ops | | |
| tf.contrib.graph_editor.get_name_scope_ops | | |
| tf.contrib.graph_editor.get_ops_ios | | |
| tf.contrib.graph_editor.get_tensors | | |
| tf.contrib.graph_editor.get_walks_intersection_ops | | |
| tf.contrib.graph_editor.get_walks_union_ops | | |
| tf.contrib.graph_editor.get_within_boundary_ops | | |
| tf.contrib.graph_editor.graph_replace | | |
| tf.contrib.graph_editor.keep_t_if_possible_handler | | |
| tf.contrib.graph_editor.make_list_of_op | | |
| tf.contrib.graph_editor.make_list_of_t | | |
| tf.contrib.graph_editor.make_placeholder_from_dtype_and_shape | | |
| tf.contrib.graph_editor.make_placeholder_from_tensor | | |
| tf.contrib.graph_editor.make_regex | | |
| tf.contrib.graph_editor.make_view | | |
| tf.contrib.graph_editor.make_view_from_scope | | |
| tf.contrib.graph_editor.ph | | |
| tf.contrib.graph_editor.placeholder_name | | |
| tf.contrib.graph_editor.remove_control_inputs | | |
| tf.contrib.graph_editor.replace_t_with_placeholder_handler | | |
| tf.contrib.graph_editor.reroute | | |
| tf.contrib.graph_editor.reroute_inputs | | |
| tf.contrib.graph_editor.reroute_ios | | |
| tf.contrib.graph_editor.reroute_outputs | | |
| tf.contrib.graph_editor.reroute_ts | | |
| tf.contrib.graph_editor.select | | |
| tf.contrib.graph_editor.select_ops | | |
| tf.contrib.graph_editor.select_ops_and_ts | | |
| tf.contrib.graph_editor.select_ts | | |
| tf.contrib.graph_editor.sgv | | |
| tf.contrib.graph_editor.sgv_scope | | |
| tf.contrib.graph_editor.subgraph | | |
| tf.contrib.graph_editor.swap_inputs | | |
| tf.contrib.graph_editor.swap_ios | | |
| tf.contrib.graph_editor.swap_outputs | | |
| tf.contrib.graph_editor.swap_ts | | |
| tf.contrib.graph_editor.transform | | |
| tf.contrib.graph_editor.transform_op_if_inside_handler | | |
| tf.contrib.graph_editor.util | | |
| tf.contrib.grid_rnn | | deprecated |
| tf.contrib.image | | partial move to addons |
| tf.contrib.image.angles_to_projective_transforms | | |
| tf.contrib.image.compose_transforms | | |
| tf.contrib.image.connected_components | | |
| tf.contrib.image.dense_image_warp | | |
| tf.contrib.image.flat_transforms_to_matrices | | |
| tf.contrib.image.interpolate_spline | | |
| tf.contrib.image.matrices_to_flat_transforms | | |
| tf.contrib.image.rotate | | |
| tf.contrib.image.single_image_random_dot_stereograms | | |
| tf.contrib.image.sparse_image_warp | | |
| tf.contrib.image.transform | | |
| tf.contrib.image.translate | | |
| tf.contrib.image.translations_to_projective_transforms | | |
| tf.contrib.input_pipeline | | deprecated |
| tf.contrib.input_pipeline.obtain_next | | |
| tf.contrib.integrate | | |
| tf.contrib.integrate.odeint | | tf.scientific? (yet to be built) |
| tf.contrib.integrate.odeint_fixed | | |
| tf.contrib.keras | | tf.keras |
| tf.contrib.kernel_methods | | |
| tf.contrib.kernel_methods.KernelLinearClassifier | | |
| tf.contrib.kernel_methods.RandomFourierFeatureMapper | | |
| tf.contrib.kernel_methods.sparse_multiclass_hinge_loss | | |
| tf.contrib.labeled_tensor | | |
| tf.contrib.layers | | partial move to addons |
| tf.contrib.layers.GDN | | |
| tf.contrib.layers.RevBlock | | |
| tf.contrib.layers.apply_regularization | | |
| tf.contrib.layers.avg_pool2d | | |
| tf.contrib.layers.avg_pool3d | | |
| tf.contrib.layers.batch_norm | | |
| tf.contrib.layers.bias_add | | |
| tf.contrib.layers.bow_encoder | | |
| tf.contrib.layers.bucketized_column | | |
| tf.contrib.layers.check_feature_columns | | |
| tf.contrib.layers.conv1d | | |
| tf.contrib.layers.conv2d | | |
| tf.contrib.layers.conv2d_in_plane | | |
| tf.contrib.layers.conv2d_transpose | | |
| tf.contrib.layers.conv3d | | |
| tf.contrib.layers.conv3d_transpose | | |
| tf.contrib.layers.convolution | | |
| tf.contrib.layers.convolution1d | | |
| tf.contrib.layers.convolution2d | | |
| tf.contrib.layers.convolution2d_in_plane | | |
| tf.contrib.layers.convolution2d_transpose | | |
| tf.contrib.layers.convolution3d | | |
| tf.contrib.layers.convolution3d_transpose | | |
| tf.contrib.layers.create_feature_spec_for_parsing | | |
| tf.contrib.layers.crossed_column | | |
| tf.contrib.layers.dense_to_sparse | | |
| tf.contrib.layers.dropout | | |
| tf.contrib.layers.embed_sequence | | |
| tf.contrib.layers.embedding_column | | |
| tf.contrib.layers.embedding_lookup_unique | | |
| tf.contrib.layers.feature_column | | |
| tf.contrib.layers.flatten | | |
| tf.contrib.layers.fully_connected | | |
| tf.contrib.layers.gdn | | |
| tf.contrib.layers.group_norm | | |
| tf.contrib.layers.images_to_sequence | | |
| tf.contrib.layers.infer_real_valued_columns | | |
| tf.contrib.layers.input_from_feature_columns | | |
| tf.contrib.layers.instance_norm | | |
| tf.contrib.layers.joint_weighted_sum_from_feature_columns | | |
| tf.contrib.layers.l1_l2_regularizer | | |
| tf.contrib.layers.l1_regularizer | | |
| tf.contrib.layers.l2_regularizer | | |
| tf.contrib.layers.layer_norm | | |
| tf.contrib.layers.legacy_fully_connected | | |
| tf.contrib.layers.make_place_holder_tensors_for_base_features | | |
| tf.contrib.layers.max_pool2d | | |
| tf.contrib.layers.max_pool3d | | |
| tf.contrib.layers.maxout | | |
| tf.contrib.layers.multi_class_target | | |
| tf.contrib.layers.one_hot_column | | |
| tf.contrib.layers.one_hot_encoding | | |
| tf.contrib.layers.optimize_loss | | |
| tf.contrib.layers.parse_feature_columns_from_examples | | |
| tf.contrib.layers.parse_feature_columns_from_sequence_examples | | |
| tf.contrib.layers.real_valued_column | | |
| tf.contrib.layers.recompute_grad | | |
| tf.contrib.layers.regression_target | | |
| tf.contrib.layers.repeat | | |
| tf.contrib.layers.rev_block | | |
| tf.contrib.layers.safe_embedding_lookup_sparse | | |
| tf.contrib.layers.scattered_embedding_column | | |
| tf.contrib.layers.separable_conv2d | | |
| tf.contrib.layers.separable_convolution2d | | |
| tf.contrib.layers.sequence_input_from_feature_columns | | |
| tf.contrib.layers.sequence_to_images | | |
| tf.contrib.layers.shared_embedding_columns | | |
| tf.contrib.layers.softmax | | |
| tf.contrib.layers.sparse_column_with_hash_bucket | | |
| tf.contrib.layers.sparse_column_with_integerized_feature | | |
| tf.contrib.layers.sparse_column_with_keys | | |
| tf.contrib.layers.sparse_column_with_vocabulary_file | | |
| tf.contrib.layers.spatial_softmax | | |
| tf.contrib.layers.stack | | |
| tf.contrib.layers.sum_regularizer | | |
| tf.contrib.layers.summaries | | |
| tf.contrib.layers.summarize_activation | | |
| tf.contrib.layers.summarize_activations | | |
| tf.contrib.layers.summarize_collection | | |
| tf.contrib.layers.summarize_tensor | | |
| tf.contrib.layers.summarize_tensors | | |
| tf.contrib.layers.transform_features | | |
| tf.contrib.layers.unit_norm | | |
| tf.contrib.layers.variance_scaling_initializer | | |
| tf.contrib.layers.weighted_sparse_column | | |
| tf.contrib.layers.weighted_sum_from_feature_columns | | |
| tf.contrib.layers.xavier_initializer | | |
| tf.contrib.layers.xavier_initializer_conv2d | | |
| tf.contrib.learn | | deleted in favor of tf.estimator |
| tf.contrib.learn.BaseEstimator | | |
| tf.contrib.learn.DNNClassifier | | |
| tf.contrib.learn.DNNEstimator | | |
| tf.contrib.learn.DNNLinearCombinedClassifier | | |
| tf.contrib.learn.DNNLinearCombinedEstimator | | |
| tf.contrib.learn.DNNLinearCombinedRegressor | | |
| tf.contrib.learn.DNNRegressor | | |
| tf.contrib.learn.DynamicRnnEstimator | | |
| tf.contrib.learn.Estimator | | |
| tf.contrib.learn.Evaluable | | |
| tf.contrib.learn.Experiment | | |
| tf.contrib.learn.ExportStrategy | | |
| tf.contrib.learn.Head | | |
| tf.contrib.learn.InputFnOps | | |
| tf.contrib.learn.KMeansClustering | | |
| tf.contrib.learn.LinearClassifier | | |
| tf.contrib.learn.LinearEstimator | | |
| tf.contrib.learn.LinearRegressor | | |
| tf.contrib.learn.LogisticRegressor | | |
| tf.contrib.learn.MetricSpec | | |
| tf.contrib.learn.ModeKeys | | |
| tf.contrib.learn.ModelFnOps | | |
| tf.contrib.learn.NanLossDuringTrainingError | | |
| tf.contrib.learn.NotFittedError | | |
| tf.contrib.learn.PredictionKey | | |
| tf.contrib.learn.ProblemType | | |
| tf.contrib.learn.RunConfig | | |
| tf.contrib.learn.SKCompat | | |
| tf.contrib.learn.SVM | | |
| tf.contrib.learn.TaskType | | |
| tf.contrib.learn.Trainable | | |
| tf.contrib.learn.binary_svm_head | | |
| tf.contrib.learn.build_parsing_serving_input_fn | | |
| tf.contrib.learn.datasets | | |
| tf.contrib.learn.evaluate | | |
| tf.contrib.learn.extract_dask_data | | |
| tf.contrib.learn.extract_dask_labels | | |
| tf.contrib.learn.extract_pandas_data | | |
| tf.contrib.learn.extract_pandas_labels | | |
| tf.contrib.learn.extract_pandas_matrix | | |
| tf.contrib.learn.graph_actions | | |
| tf.contrib.learn.head | | |
| tf.contrib.learn.infer | | |
| tf.contrib.learn.infer_real_valued_columns_from_input | | |
| tf.contrib.learn.infer_real_valued_columns_from_input_fn | | |
| tf.contrib.learn.io | | |
| tf.contrib.learn.learn_runner | | |
| tf.contrib.learn.learn_runner.run | | |
| tf.contrib.learn.learn_runner.tune | | |
| tf.contrib.learn.make_export_strategy | | |
| tf.contrib.learn.models | | |
| tf.contrib.learn.monitors | | |
| tf.contrib.learn.multi_class_head | | |
| tf.contrib.learn.multi_head | | |
| tf.contrib.learn.multi_label_head | | |
| tf.contrib.learn.no_op_train_fn | | |
| tf.contrib.learn.ops | | |
| tf.contrib.learn.poisson_regression_head | | |
| tf.contrib.learn.preprocessing | | |
| tf.contrib.learn.read_batch_examples | | |
| tf.contrib.learn.read_batch_features | | |
| tf.contrib.learn.read_batch_record_features | | |
| tf.contrib.learn.read_keyed_batch_examples | | |
| tf.contrib.learn.read_keyed_batch_examples_shared_queue | | |
| tf.contrib.learn.read_keyed_batch_features | | |
| tf.contrib.learn.read_keyed_batch_features_shared_queue | | |
| tf.contrib.learn.regression_head | | |
| tf.contrib.learn.run_feeds | | |
| tf.contrib.learn.run_n | | |
| tf.contrib.learn.train | | |
| tf.contrib.learn.utils | | |
| tf.contrib.legacy_seq2seq | | deleted and replaced with tf.seq2seq |
| tf.contrib.legacy_seq2seq.attention_decoder | | |
| tf.contrib.legacy_seq2seq.basic_rnn_seq2seq | | |
| tf.contrib.legacy_seq2seq.embedding_attention_decoder | | |
| tf.contrib.legacy_seq2seq.embedding_attention_seq2seq | | |
| tf.contrib.legacy_seq2seq.embedding_rnn_decoder | | |
| tf.contrib.legacy_seq2seq.embedding_rnn_seq2seq | | |
| tf.contrib.legacy_seq2seq.embedding_tied_rnn_seq2seq | | |
| tf.contrib.legacy_seq2seq.model_with_buckets | | |
| tf.contrib.legacy_seq2seq.one2many_rnn_seq2seq | | |
| tf.contrib.legacy_seq2seq.rnn_decoder | | |
| tf.contrib.legacy_seq2seq.sequence_loss | | |
| tf.contrib.legacy_seq2seq.sequence_loss_by_example | | |
| tf.contrib.legacy_seq2seq.tied_rnn_seq2seq | | |
| tf.contrib.linalg | | tf.linalg |
| tf.contrib.linear_optimizer | | tf.estimator? |
| tf.contrib.linear_optimizer.SDCAOptimizer | | |
| tf.contrib.linear_optimizer.SdcaModel | | |
| tf.contrib.linear_optimizer.SparseFeatureColumn | | |
| tf.contrib.lite | | tf.lite |
| tf.contrib.lite.ConverterMode | | |
| tf.contrib.lite.DecodeError | | |
| tf.contrib.lite.Interpreter | | tf.lite.Interpreter |
| tf.contrib.lite.OpHint | | tf.lite.OpHint |
| tf.contrib.lite.OpHint.OpHintArgumentTracker | | tf.lite.OpHint.OpHintArgumentTracker |
| tf.contrib.lite.TFLiteConverter | | tf.lite.TFLiteConverter |
| tf.contrib.lite.TocoConverter | | |
| tf.contrib.lite.build_toco_convert_protos | | |
| tf.contrib.lite.constants | | tf.lite.constants |
| tf.contrib.lite.convert_op_hints_to_stubs | | tf.lite.convert_op_hints_to_stubs |
| tf.contrib.lite.toco_convert | | |
| tf.contrib.lite.toco_convert_protos | | |
| tf.contrib.lookup | | tf.lookup? |
| tf.contrib.lookup.HashTable | | |
| tf.contrib.lookup.HasherSpec | | |
| tf.contrib.lookup.IdTableWithHashBuckets | | |
| tf.contrib.lookup.InitializableLookupTableBase | | |
| tf.contrib.lookup.KeyValueTensorInitializer | | |
| tf.contrib.lookup.LookupInterface | | |
| tf.contrib.lookup.MutableDenseHashTable | | |
| tf.contrib.lookup.MutableHashTable | | |
| tf.contrib.lookup.StrongHashSpec | | |
| tf.contrib.lookup.TableInitializerBase | | |
| tf.contrib.lookup.TextFileIdTableInitializer | | |
| tf.contrib.lookup.TextFileIndex | | |
| tf.contrib.lookup.TextFileInitializer | | |
| tf.contrib.lookup.TextFileStringTableInitializer | | |
| tf.contrib.lookup.index_table_from_file | | |
| tf.contrib.lookup.index_table_from_tensor | | |
| tf.contrib.lookup.index_to_string | | |
| tf.contrib.lookup.index_to_string_table_from_file | | |
| tf.contrib.lookup.index_to_string_table_from_tensor | | |
| tf.contrib.lookup.string_to_index | | |
| tf.contrib.lookup.string_to_index_table_from_file | | |
| tf.contrib.lookup.string_to_index_table_from_tensor | | |
| tf.contrib.losses | | partial move to addons |
| tf.contrib.losses.absolute_difference | | |
| tf.contrib.losses.add_loss | | |
| tf.contrib.losses.compute_weighted_loss | | |
| tf.contrib.losses.cosine_distance | | |
| tf.contrib.losses.get_losses | | |
| tf.contrib.losses.get_regularization_losses | | |
| tf.contrib.losses.get_total_loss | | |
| tf.contrib.losses.hinge_loss | | |
| tf.contrib.losses.log_loss | | |
| tf.contrib.losses.mean_pairwise_squared_error | | |
| tf.contrib.losses.mean_squared_error | | |
| tf.contrib.losses.metric_learning | | |
| tf.contrib.losses.metric_learning.cluster_loss | | |
| tf.contrib.losses.metric_learning.contrastive_loss | | |
| tf.contrib.losses.metric_learning.lifted_struct_loss | | |
| tf.contrib.losses.metric_learning.npairs_loss | | |
| tf.contrib.losses.metric_learning.npairs_loss_multilabel | | |
| tf.contrib.losses.metric_learning.triplet_semihard_loss | | |
| tf.contrib.losses.sigmoid_cross_entropy | | |
| tf.contrib.losses.softmax_cross_entropy | | |
| tf.contrib.losses.sparse_softmax_cross_entropy | | |
| tf.contrib.memory_stats | | delete |
| tf.contrib.memory_stats.BytesInUse | | |
| tf.contrib.memory_stats.BytesLimit | | |
| tf.contrib.memory_stats.MaxBytesInUse | | |
| tf.contrib.meta_graph_transform | | delete |
| tf.contrib.meta_graph_transform.meta_graph_transform | | |
| tf.contrib.meta_graph_transform.meta_graph_transform.meta_graph_transform | | |
| tf.contrib.metrics | | delete, replaced with tf.metrics |
| tf.contrib.metrics.accuracy | | |
| tf.contrib.metrics.aggregate_metric_map | | |
| tf.contrib.metrics.aggregate_metrics | | |
| tf.contrib.metrics.auc_using_histogram | | |
| tf.contrib.metrics.auc_with_confidence_intervals | | |
| tf.contrib.metrics.cohen_kappa | | |
| tf.contrib.metrics.confusion_matrix | | |
| tf.contrib.metrics.count | | |
| tf.contrib.metrics.f1_score | | |
| tf.contrib.metrics.precision_at_recall | | |
| tf.contrib.metrics.precision_recall_at_equal_thresholds | | |
| tf.contrib.metrics.recall_at_precision | | |
| tf.contrib.metrics.set_difference | | |
| tf.contrib.metrics.set_intersection | | |
| tf.contrib.metrics.set_size | | |
| tf.contrib.metrics.set_union | | |
| tf.contrib.metrics.sparse_recall_at_top_k | | |
| tf.contrib.metrics.streaming_accuracy | | |
| tf.contrib.metrics.streaming_auc | | |
| tf.contrib.metrics.streaming_concat | | |
| tf.contrib.metrics.streaming_covariance | | |
| tf.contrib.metrics.streaming_curve_points | | |
| tf.contrib.metrics.streaming_dynamic_auc | | |
| tf.contrib.metrics.streaming_false_negative_rate | | |
| tf.contrib.metrics.streaming_false_negative_rate_at_thresholds | | |
| tf.contrib.metrics.streaming_false_negatives | | |
| tf.contrib.metrics.streaming_false_negatives_at_thresholds | | |
| tf.contrib.metrics.streaming_false_positive_rate | | |
| tf.contrib.metrics.streaming_false_positive_rate_at_thresholds | | |
| tf.contrib.metrics.streaming_false_positives | | |
| tf.contrib.metrics.streaming_false_positives_at_thresholds | | |
| tf.contrib.metrics.streaming_mean | | |
| tf.contrib.metrics.streaming_mean_absolute_error | | |
| tf.contrib.metrics.streaming_mean_cosine_distance | | |
| tf.contrib.metrics.streaming_mean_iou | | |
| tf.contrib.metrics.streaming_mean_relative_error | | |
| tf.contrib.metrics.streaming_mean_squared_error | | |
| tf.contrib.metrics.streaming_mean_tensor | | |
| tf.contrib.metrics.streaming_pearson_correlation | | |
| tf.contrib.metrics.streaming_percentage_less | | |
| tf.contrib.metrics.streaming_precision | | |
| tf.contrib.metrics.streaming_precision_at_thresholds | | |
| tf.contrib.metrics.streaming_recall | | |
| tf.contrib.metrics.streaming_recall_at_k | | |
| tf.contrib.metrics.streaming_recall_at_thresholds | | |
| tf.contrib.metrics.streaming_root_mean_squared_error | | |
| tf.contrib.metrics.streaming_sensitivity_at_specificity | | |
| tf.contrib.metrics.streaming_sparse_average_precision_at_k | | |
| tf.contrib.metrics.streaming_sparse_average_precision_at_top_k | | |
| tf.contrib.metrics.streaming_sparse_precision_at_k | | |
| tf.contrib.metrics.streaming_sparse_precision_at_top_k | | |
| tf.contrib.metrics.streaming_sparse_recall_at_k | | |
| tf.contrib.metrics.streaming_specificity_at_sensitivity | | |
| tf.contrib.metrics.streaming_true_negatives | | |
| tf.contrib.metrics.streaming_true_negatives_at_thresholds | | |
| tf.contrib.metrics.streaming_true_positives | | |
| tf.contrib.metrics.streaming_true_positives_at_thresholds | | |
| tf.contrib.mixed_precision | | delete |
| tf.contrib.mixed_precision.ExponentialUpdateLossScaleManager | | |
| tf.contrib.mixed_precision.FixedLossScaleManager | | |
| tf.contrib.mixed_precision.LossScaleManager | | |
| tf.contrib.mixed_precision.LossScaleOptimizer | | |
| tf.contrib.model_pruning | | moved to core? |
| tf.contrib.model_pruning.MaskedBasicLSTMCell | | |
| tf.contrib.model_pruning.MaskedLSTMCell | | |
| tf.contrib.model_pruning.Pruning | | |
| tf.contrib.model_pruning.apply_mask | | |
| tf.contrib.model_pruning.get_masked_weights | | |
| tf.contrib.model_pruning.get_masks | | |
| tf.contrib.model_pruning.get_pruning_hparams | | |
| tf.contrib.model_pruning.get_thresholds | | |
| tf.contrib.model_pruning.get_weight_sparsity | | |
| tf.contrib.model_pruning.get_weights | | |
| tf.contrib.model_pruning.graph_def_from_checkpoint | | |
| tf.contrib.model_pruning.masked_conv2d | | |
| tf.contrib.model_pruning.masked_convolution | | |
| tf.contrib.model_pruning.masked_fully_connected | | |
| tf.contrib.model_pruning.strip_pruning_vars_fn | | |
| tf.contrib.model_pruning.train | | |
| tf.contrib.nccl | | moved to core? |
| tf.contrib.nccl.all_max | | |
| tf.contrib.nccl.all_min | | |
| tf.contrib.nccl.all_prod | | |
| tf.contrib.nccl.all_sum | | |
| tf.contrib.nccl.broadcast | | |
| tf.contrib.nccl.reduce_sum | | |
| tf.contrib.nn | | moved to tensorflow/addons? |
| tf.contrib.nn.alpha_dropout | | |
| tf.contrib.nn.conv1d_transpose | | |
| tf.contrib.nn.deprecated_flipped_sigmoid_cross_entropy_with_logits | | |
| tf.contrib.nn.deprecated_flipped_softmax_cross_entropy_with_logits | | |
| tf.contrib.nn.deprecated_flipped_sparse_softmax_cross_entropy_with_logits | | |
| tf.contrib.nn.nth_element | | |
| tf.contrib.nn.rank_sampled_softmax_loss | | |
| tf.contrib.nn.sampled_sparse_softmax_loss | | |
| tf.contrib.nn.scaled_softplus | | |
| tf.contrib.opt | | moved to addons? |
| tf.contrib.opt.AGNCustomGetter | | |
| tf.contrib.opt.AGNOptimizer | | |
| tf.contrib.opt.AdaMaxOptimizer | | |
| tf.contrib.opt.AdamWOptimizer | | |
| tf.contrib.opt.AddSignOptimizer | | |
| tf.contrib.opt.DecoupledWeightDecayExtension | | |
| tf.contrib.opt.DropStaleGradientOptimizer | | |
| tf.contrib.opt.ElasticAverageCustomGetter | | |
| tf.contrib.opt.ElasticAverageOptimizer | | |
| tf.contrib.opt.ExternalOptimizerInterface | | |
| tf.contrib.opt.GGTOptimizer | | |
| tf.contrib.opt.LARSOptimizer | | |
| tf.contrib.opt.LazyAdamOptimizer | | |
| tf.contrib.opt.ModelAverageCustomGetter | | |
| tf.contrib.opt.ModelAverageOptimizer | | |
| tf.contrib.opt.MomentumWOptimizer | | |
| tf.contrib.opt.MovingAverageOptimizer | | |
| tf.contrib.opt.MultitaskOptimizerWrapper | | |
| tf.contrib.opt.NadamOptimizer | | |
| tf.contrib.opt.PowerSignOptimizer | | |
| tf.contrib.opt.RegAdagradOptimizer | | |
| tf.contrib.opt.ScipyOptimizerInterface | | |
| tf.contrib.opt.ShampooOptimizer | | |
| tf.contrib.opt.VariableClippingOptimizer | | |
| tf.contrib.opt.clip_gradients_by_global_norm | | |
| tf.contrib.opt.extend_with_decoupled_weight_decay | | |
| tf.contrib.optimizer_v2 | | tf.optimizers |
| tf.contrib.optimizer_v2.AdadeltaOptimizer | | tf.optimizers.AdaDelta |
| tf.contrib.optimizer_v2.AdagradOptimizer | | tf.optimizers.Adagrad |
| tf.contrib.optimizer_v2.AdamOptimizer | | tf.optimizers.Adam |
| tf.contrib.optimizer_v2.GradientDescentOptimizer | | |
| tf.contrib.optimizer_v2.MomentumOptimizer | | |
| tf.contrib.optimizer_v2.OptimizerV2 | | tf.optimizers.Optimizer |
| tf.contrib.optimizer_v2.RMSPropOptimizer | | tf.optimizers.RMSprop |
| tf.contrib.periodic_resample | | delete (no owner) |
| tf.contrib.periodic_resample.periodic_resample | | |
| tf.contrib.predictor | | delete (replace with tfhub) |
| tf.contrib.predictor.from_contrib_estimator | | |
| tf.contrib.predictor.from_estimator | | |
| tf.contrib.predictor.from_saved_model | | |
| tf.contrib.proto | | moved to core? |
| tf.contrib.proto.decode_proto | | |
| tf.contrib.proto.encode_proto | | |
| tf.contrib.quantization | | deleted; absorbed into tflite |
| tf.contrib.quantize | | |
| tf.contrib.quantize.create_eval_graph | | |
| tf.contrib.quantize.create_training_graph | | |
| tf.contrib.quantize.experimental_create_eval_graph | | |
| tf.contrib.quantize.experimental_create_training_graph | | |
| tf.contrib.receptive_field | | ????? |
| tf.contrib.receptive_field.compute_receptive_field_from_graph_def | | |
| tf.contrib.receptive_field.get_compute_order | | |
| tf.contrib.recurrent | | replaced with RNN API? |
| tf.contrib.recurrent.Recurrent | | |
| tf.contrib.recurrent.bidirectional_functional_rnn | | |
| tf.contrib.recurrent.functional_rnn | | |
| tf.contrib.reduce_slice_ops | | delete (no owner) |
| tf.contrib.reduce_slice_ops.python | | |
| tf.contrib.reduce_slice_ops.python.ops | | |
| tf.contrib.remote_fused_graph | | ???? |
| tf.contrib.remote_fused_graph.remote_fused_graph_execute | | |
| tf.contrib.resampler | | move to tf.scientific? |
| tf.contrib.resampler.resampler | | |
| tf.contrib.rnn | | replace with new RNN API? |
| tf.contrib.rnn.AttentionCellWrapper | | |
| tf.contrib.rnn.BasicLSTMCell | | |
| tf.contrib.rnn.BasicRNNCell | | |
| tf.contrib.rnn.BidirectionalGridLSTMCell | | |
| tf.contrib.rnn.CompiledWrapper | | |
| tf.contrib.rnn.Conv1DLSTMCell | | |
| tf.contrib.rnn.Conv2DLSTMCell | | |
| tf.contrib.rnn.Conv3DLSTMCell | | |
| tf.contrib.rnn.ConvLSTMCell | | |
| tf.contrib.rnn.CoupledInputForgetGateLSTMCell | | |
| tf.contrib.rnn.DeviceWrapper | | |
| tf.contrib.rnn.DropoutWrapper | | |
| tf.contrib.rnn.EmbeddingWrapper | | |
| tf.contrib.rnn.FusedRNNCell | | |
| tf.contrib.rnn.FusedRNNCellAdaptor | | |
| tf.contrib.rnn.GLSTMCell | | |
| tf.contrib.rnn.GRUBlockCell | | |
| tf.contrib.rnn.GRUBlockCellV2 | | |
| tf.contrib.rnn.GRUCell | | |
| tf.contrib.rnn.GridLSTMCell | | |
| tf.contrib.rnn.HighwayWrapper | | |
| tf.contrib.rnn.IndRNNCell | | |
| tf.contrib.rnn.IndyGRUCell | | |
| tf.contrib.rnn.IndyLSTMCell | | |
| tf.contrib.rnn.InputProjectionWrapper | | |
| tf.contrib.rnn.IntersectionRNNCell | | |
| tf.contrib.rnn.LSTMBlockCell | | |
| tf.contrib.rnn.LSTMBlockFusedCell | | |
| tf.contrib.rnn.LSTMBlockWrapper | | |
| tf.contrib.rnn.LSTMCell | | |
| tf.contrib.rnn.LSTMStateTuple | | tf.nn.rnn_cell.LSTMStateTuple |
| tf.contrib.rnn.LayerNormBasicLSTMCell | | |
| tf.contrib.rnn.LayerRNNCell | | |
| tf.contrib.rnn.MultiRNNCell | | |
| tf.contrib.rnn.NASCell | | |
| tf.contrib.rnn.OutputProjectionWrapper | | |
| tf.contrib.rnn.PhasedLSTMCell | | |
| tf.contrib.rnn.RNNCell | | tf.nn.rnn_cell.RNNCell |
| tf.contrib.rnn.ResidualWrapper | | |
| tf.contrib.rnn.SRUCell | | |
| tf.contrib.rnn.TimeFreqLSTMCell | | |
| tf.contrib.rnn.TimeReversedFusedRNN | | |
| tf.contrib.rnn.UGRNNCell | | |
| tf.contrib.rnn.best_effort_input_batch_size | | |
| tf.contrib.rnn.stack_bidirectional_dynamic_rnn | | |
| tf.contrib.rnn.stack_bidirectional_rnn | | |
| tf.contrib.rnn.static_bidirectional_rnn | | |
| tf.contrib.rnn.static_rnn | | |
| tf.contrib.rnn.static_state_saving_rnn | | |
| tf.contrib.rnn.transpose_batch_time | | |
| tf.contrib.rpc | | ????? |
| tf.contrib.rpc.rpc | | |
| tf.contrib.rpc.try_rpc | | |
| tf.contrib.saved_model | | moved to core |
| tf.contrib.saved_model.load_keras_model | | |
| tf.contrib.saved_model.save_keras_model | | |
| tf.contrib.seq2seq | | move to core, adapt |
| tf.contrib.seq2seq.AttentionMechanism | | |
| tf.contrib.seq2seq.AttentionWrapper | | |
| tf.contrib.seq2seq.AttentionWrapperState | | |
| tf.contrib.seq2seq.BahdanauAttention | | |
| tf.contrib.seq2seq.BahdanauMonotonicAttention | | |
| tf.contrib.seq2seq.BasicDecoder | | |
| tf.contrib.seq2seq.BasicDecoderOutput | | |
| tf.contrib.seq2seq.BeamSearchDecoder | | |
| tf.contrib.seq2seq.BeamSearchDecoderOutput | | |
| tf.contrib.seq2seq.BeamSearchDecoderState | | |
| tf.contrib.seq2seq.CustomHelper | | |
| tf.contrib.seq2seq.Decoder | | |
| tf.contrib.seq2seq.FinalBeamSearchDecoderOutput | | |
| tf.contrib.seq2seq.GreedyEmbeddingHelper | | |
| tf.contrib.seq2seq.Helper | | |
| tf.contrib.seq2seq.InferenceHelper | | |
| tf.contrib.seq2seq.LuongAttention | | |
| tf.contrib.seq2seq.LuongMonotonicAttention | | |
| tf.contrib.seq2seq.SampleEmbeddingHelper | | |
| tf.contrib.seq2seq.ScheduledEmbeddingTrainingHelper | | |
| tf.contrib.seq2seq.ScheduledOutputTrainingHelper | | |
| tf.contrib.seq2seq.TrainingHelper | | |
| tf.contrib.seq2seq.dynamic_decode | | |
| tf.contrib.seq2seq.gather_tree | | |
| tf.contrib.seq2seq.hardmax | | |
| tf.contrib.seq2seq.monotonic_attention | | |
| tf.contrib.seq2seq.safe_cumprod | | |
| tf.contrib.seq2seq.sequence_loss | | |
| tf.contrib.seq2seq.tile_batch | | |
| tf.contrib.session_bundle | | delete |
| tf.contrib.signal | | tf.signal |
| tf.contrib.signal.frame | | tf.signal.frame |
| tf.contrib.signal.hamming_window | | tf.signal.hamming_window |
| tf.contrib.signal.hann_window | | tf.signal.hann_window |
| tf.contrib.signal.inverse_stft | | tf.signal.inverse_stft |
| tf.contrib.signal.inverse_stft_window_fn | | tf.signal.inverse_stft_window_fn |
| tf.contrib.signal.linear_to_mel_weight_matrix | | tf.signal.linear_to_mel_weight_matrix |
| tf.contrib.signal.mfccs_from_log_mel_spectrograms | | tf.signal.mfccs_from_log_mel_spectrograms |
| tf.contrib.signal.overlap_and_add | | tf.signal.overlap_and_add |
| tf.contrib.signal.stft | | tf.signal.stft |
| tf.contrib.slim | | move to tf.models? |
| tf.contrib.solvers | | move to tf.scientific? |
| tf.contrib.sparsemax | | move to addons? |
| tf.contrib.sparsemax.sparsemax | | |
| tf.contrib.sparsemax.sparsemax_loss | | |
| tf.contrib.specs | | delete |
| tf.contrib.staging | | delete (redundant) |
| tf.contrib.staging.StagingArea | | |
| tf.contrib.stat_summarizer | | delete (no owner) |
| tf.contrib.stat_summarizer.StatSummarizer | | |
| tf.contrib.stateless | | replace random ops with this? |
| tf.contrib.stateless.stateless_multinomial | | |
| tf.contrib.stateless.stateless_random_normal | | |
| tf.contrib.stateless.stateless_random_uniform | | |
| tf.contrib.stateless.stateless_truncated_normal | | |
| tf.contrib.summary | | tf.summary |
| tf.contrib.summary.SummaryWriter | | tf.summary.SummaryWriter |
| tf.contrib.summary.all_summary_ops | | |
| tf.contrib.summary.always_record_summaries | | |
| tf.contrib.summary.audio | | tf.summary.audio |
| tf.contrib.summary.create_db_writer | | |
| tf.contrib.summary.create_file_writer | | tf.summary.create_file_writer |
| tf.contrib.summary.create_summary_file_writer | | |
| tf.contrib.summary.eval_dir | | |
| tf.contrib.summary.flush | | tf.summary.flush |
| tf.contrib.summary.generic | | |
| tf.contrib.summary.graph | | |
| tf.contrib.summary.histogram | | tf.summary.histogram |
| tf.contrib.summary.image | | tf.summary.image |
| tf.contrib.summary.import_event | | tf.summary.import_event |
| tf.contrib.summary.initialize | | |
| tf.contrib.summary.never_record_summaries | | |
| tf.contrib.summary.record_summaries_every_n_global_steps | | |
| tf.contrib.summary.scalar | | tf.summary.scalar |
| tf.contrib.summary.should_record_summaries | | |
| tf.contrib.summary.summary_writer_initializer_op | | |
| tf.contrib.tensor_forest | | delete (moving to core) |
| tf.contrib.tensorboard | | moved to tensorboard |
| tf.contrib.testing | | move to code, make private |
| tf.contrib.tfprof | | delete (replaced with tf.profiler) |
| tf.contrib.timeseries | | moved to tf.estimator? |
| tf.contrib.timeseries.ARModel | | |
| tf.contrib.timeseries.ARRegressor | | |
| tf.contrib.timeseries.CSVReader | | |
| tf.contrib.timeseries.FilteringResults | | |
| tf.contrib.timeseries.NumpyReader | | |
| tf.contrib.timeseries.OneShotPredictionHead | | |
| tf.contrib.timeseries.RandomWindowInputFn | | |
| tf.contrib.timeseries.StructuralEnsembleRegressor | | |
| tf.contrib.timeseries.TimeSeriesRegressor | | |
| tf.contrib.timeseries.TrainEvalFeatures | | |
| tf.contrib.timeseries.WholeDatasetInputFn | | |
| tf.contrib.timeseries.predict_continuation_input_fn | | |
| tf.contrib.timeseries.saved_model_utils | | |
| tf.contrib.timeseries.saved_model_utils.cold_start_filter | | |
| tf.contrib.timeseries.saved_model_utils.filter_continuation | | |
| tf.contrib.timeseries.saved_model_utils.predict_continuation | | |
| tf.contrib.tpu | | moved to tf.tpu? |
| tf.contrib.tpu.AsyncCheckpointSaverHook | | |
| tf.contrib.tpu.CrossShardOptimizer | | |
| tf.contrib.tpu.DeviceAssignment | | |
| tf.contrib.tpu.InfeedQueue | | |
| tf.contrib.tpu.InputPipelineConfig | | |
| tf.contrib.tpu.RunConfig | | |
| tf.contrib.tpu.TPUConfig | | |
| tf.contrib.tpu.TPUDistributionStrategy | | |
| tf.contrib.tpu.TPUEstimator | | |
| tf.contrib.tpu.TPUEstimatorSpec | | |
| tf.contrib.tpu.Topology | | |
| tf.contrib.tpu.batch_parallel | | |
| tf.contrib.tpu.bfloat16_scope | | |
| tf.contrib.tpu.core | | |
| tf.contrib.tpu.cross_replica_sum | | |
| tf.contrib.tpu.device_assignment | | |
| tf.contrib.tpu.export_estimator_savedmodel | | |
| tf.contrib.tpu.infeed_dequeue | | |
| tf.contrib.tpu.infeed_dequeue_tuple | | |
| tf.contrib.tpu.infeed_enqueue | | |
| tf.contrib.tpu.infeed_enqueue_tuple | | |
| tf.contrib.tpu.initialize_system | | |
| tf.contrib.tpu.keras_to_tpu_model | | |
| tf.contrib.tpu.outfeed_dequeue | | |
| tf.contrib.tpu.outfeed_dequeue_tuple | | |
| tf.contrib.tpu.outfeed_enqueue | | |
| tf.contrib.tpu.outfeed_enqueue_tuple | | |
| tf.contrib.tpu.outside_compilation | | |
| tf.contrib.tpu.profiler | | |
| tf.contrib.tpu.profiler.Device | | |
| tf.contrib.tpu.profiler.Device.ResourcesEntry | | |
| tf.contrib.tpu.profiler.Resource | | |
| tf.contrib.tpu.profiler.Trace | | |
| tf.contrib.tpu.profiler.Trace.DevicesEntry | | |
| tf.contrib.tpu.profiler.TraceEvent | | |
| tf.contrib.tpu.repeat | | |
| tf.contrib.tpu.replicate | | |
| tf.contrib.tpu.rewrite | | |
| tf.contrib.tpu.shard | | |
| tf.contrib.tpu.shutdown_system | | |
| tf.contrib.tpu.while_loop | | |
| tf.contrib.training | | ????? |
| tf.contrib.training.FeedingQueueRunner | | |
| tf.contrib.training.GreedyLoadBalancingStrategy | | |
| tf.contrib.training.HParams | | |
| tf.contrib.training.NextQueuedSequenceBatch | | |
| tf.contrib.training.RandomStrategy | | |
| tf.contrib.training.SequenceQueueingStateSaver | | |
| tf.contrib.training.StopAfterNEvalsHook | | |
| tf.contrib.training.SummaryAtEndHook | | |
| tf.contrib.training.add_gradients_summaries | | |
| tf.contrib.training.batch_sequences_with_states | | |
| tf.contrib.training.bucket | | |
| tf.contrib.training.bucket_by_sequence_length | | |
| tf.contrib.training.byte_size_load_fn | | |
| tf.contrib.training.checkpoints_iterator | | |
| tf.contrib.training.clip_gradient_norms | | |
| tf.contrib.training.clip_gradient_norms_fn | | |
| tf.contrib.training.create_train_op | | |
| tf.contrib.training.enqueue_in_queue_dataset | | |
| tf.contrib.training.evaluate_once | | |
| tf.contrib.training.evaluate_repeatedly | | |
| tf.contrib.training.get_or_create_eval_step | | |
| tf.contrib.training.multiply_gradients | | |
| tf.contrib.training.parse_values | | |
| tf.contrib.training.prepend_from_queue_and_padded_batch_dataset | | |
| tf.contrib.training.rejection_sample | | |
| tf.contrib.training.resample_at_rate | | |
| tf.contrib.training.stratified_sample | | |
| tf.contrib.training.train | | |
| tf.contrib.training.wait_for_new_checkpoint | | |
| tf.contrib.training.weighted_resample | | |
| tf.contrib.util | | delete (no owner) |
| tf.contrib.util.constant_value | | migrated to core |
| tf.contrib.util.loader | | |
| tf.contrib.util.make_ndarray | | |
| tf.contrib.util.make_tensor_proto | | |
| tf.contrib.util.ops_used_by_graph_def | | |
| tf.contrib.util.stripped_op_list_for_graph | | |
| tf.control_dependencies | | tf.control_dependencies |
| tf.convert_to_tensor | | tf.convert_to_tensor |
| tf.convert_to_tensor_or_indexed_slices | tf.compat.v1.convert_to_tensor_or_indexed_slices | |
| tf.convert_to_tensor_or_sparse_tensor | tf.compat.v1.convert_to_tensor_or_sparse_tensor | |
| tf.cos | | tf.cos |
| tf.cosh | | tf.cosh |
| tf.count_nonzero | tf.math.count_nonzero | |
| tf.count_up_to | tf.compat.v1.count_up_to | |
| tf.create_partitioned_variables | tf.compat.v1.create_partitioned_variables | |
| tf.cross | tf.linalg.cross | |
| tf.cumprod | tf.math.cumprod | |
| tf.cumsum | | tf.cumsum |
| tf.custom_gradient | | tf.custom_gradient |
| tf.data | | tf.data |
| tf.data.Dataset | | tf.data.Dataset |
| tf.data.FixedLengthRecordDataset | | tf.data.FixedLengthRecordDataset |
| tf.data.Iterator | tf.compat.v1.data.Iterator | |
| tf.data.Options | | tf.data.Options |
| tf.data.TFRecordDataset | | tf.data.TFRecordDataset |
| tf.data.TextLineDataset | | tf.data.TextLineDataset |
| tf.data.experimental | | tf.data.experimental |
| tf.data.experimental.CheckpointInputPipelineHook | | tf.data.experimental.CheckpointInputPipelineHook |
| tf.data.experimental.Counter | | tf.data.experimental.Counter |
| tf.data.experimental.CsvDataset | | tf.data.experimental.CsvDataset |
| tf.data.experimental.Optional | | tf.data.experimental.Optional |
| tf.data.experimental.RandomDataset | | tf.data.experimental.RandomDataset |
| tf.data.experimental.Reducer | | tf.data.experimental.Reducer |
| tf.data.experimental.SqlDataset | | tf.data.experimental.SqlDataset |
| tf.data.experimental.StatsAggregator | | tf.data.experimental.StatsAggregator |
| tf.data.experimental.TFRecordWriter | | tf.data.experimental.TFRecordWriter |
| tf.data.experimental.bucket_by_sequence_length | | tf.data.experimental.bucket_by_sequence_length |
| tf.data.experimental.choose_from_datasets | | tf.data.experimental.choose_from_datasets |
| tf.data.experimental.copy_to_device | | tf.data.experimental.copy_to_device |
| tf.data.experimental.dense_to_sparse_batch | | tf.data.experimental.dense_to_sparse_batch |
| tf.data.experimental.enumerate_dataset | | tf.data.experimental.enumerate_dataset |
| tf.data.experimental.get_next_as_optional | | tf.data.experimental.get_next_as_optional |
| tf.data.experimental.get_single_element | | tf.data.experimental.get_single_element |
| tf.data.experimental.group_by_reducer | | tf.data.experimental.group_by_reducer |
| tf.data.experimental.group_by_window | | tf.data.experimental.group_by_window |
| tf.data.experimental.ignore_errors | | tf.data.experimental.ignore_errors |
| tf.data.experimental.latency_stats | | tf.data.experimental.latency_stats |
| tf.data.experimental.make_batched_features_dataset | | tf.data.experimental.make_batched_features_dataset |
| tf.data.experimental.make_csv_dataset | | tf.data.experimental.make_csv_dataset |
| tf.data.experimental.make_saveable_from_iterator | | tf.data.experimental.make_saveable_from_iterator |
| tf.data.experimental.map_and_batch | | tf.data.experimental.map_and_batch |
| tf.data.experimental.parallel_interleave | | tf.data.experimental.parallel_interleave |
| tf.data.experimental.parse_example_dataset | | tf.data.experimental.parse_example_dataset |
| tf.data.experimental.prefetch_to_device | | tf.data.experimental.prefetch_to_device |
| tf.data.experimental.rejection_resample | | tf.data.experimental.rejection_resample |
| tf.data.experimental.sample_from_datasets | | tf.data.experimental.sample_from_datasets |
| tf.data.experimental.scan | | tf.data.experimental.scan |
| tf.data.experimental.set_stats_aggregator | | |
| tf.data.experimental.shuffle_and_repeat | | tf.data.experimental.shuffle_and_repeat |
| tf.data.experimental.unbatch | | tf.data.experimental.unbatch |
| tf.data.experimental.unique | | tf.data.experimental.unique |
| tf.debugging | | tf.debugging |
| tf.debugging.Assert | | tf.debugging.Assert |
| tf.debugging.assert_all_finite | | tf.debugging.assert_all_finite |
| tf.debugging.assert_equal | tf.compat.v1.debugging.assert_equal | tf.debugging.assert_equal |
| tf.debugging.assert_greater | tf.compat.v1.debugging.assert_greater | tf.debugging.assert_greater |
| tf.debugging.assert_greater_equal | tf.compat.v1.debugging.assert_greater_equal | tf.debugging.assert_greater_equal |
| tf.debugging.assert_integer | tf.compat.v1.debugging.assert_integer | tf.debugging.assert_integer |
| tf.debugging.assert_less | tf.compat.v1.debugging.assert_less | tf.debugging.assert_less |
| tf.debugging.assert_less_equal | tf.compat.v1.debugging.assert_less_equal | tf.debugging.assert_less_equal |
| tf.debugging.assert_near | tf.compat.v1.debugging.assert_near | tf.debugging.assert_near |
| tf.debugging.assert_negative | tf.compat.v1.debugging.assert_negative | tf.debugging.assert_negative |
| tf.debugging.assert_non_negative | tf.compat.v1.debugging.assert_non_negative | tf.debugging.assert_non_negative |
| tf.debugging.assert_non_positive | tf.compat.v1.debugging.assert_non_positive | tf.debugging.assert_non_positive |
| tf.debugging.assert_none_equal | tf.compat.v1.debugging.assert_none_equal | tf.debugging.assert_none_equal |
| tf.debugging.assert_positive | tf.compat.v1.debugging.assert_positive | tf.debugging.assert_positive |
| tf.debugging.assert_proper_iterable | | tf.debugging.assert_proper_iterable |
| tf.debugging.assert_rank | | tf.debugging.assert_rank |
| tf.debugging.assert_rank_at_least | | tf.debugging.assert_rank_at_least |
| tf.debugging.assert_rank_in | | tf.debugging.assert_rank_in |
| tf.debugging.assert_same_float_dtype | | tf.debugging.assert_same_float_dtype |
| tf.debugging.assert_scalar | tf.compat.v1.debugging.assert_scalar | tf.debugging.assert_scalar |
| tf.debugging.assert_type | tf.compat.v1.debugging.assert_type | tf.debugging.assert_type |
| tf.debugging.check_numerics | | tf.debugging.check_numerics |
| tf.debugging.is_finite | tf.math.is_finite | |
| tf.debugging.is_inf | tf.math.is_inf | |
| tf.debugging.is_nan | tf.math.is_nan | |
| tf.debugging.is_non_decreasing | tf.math.is_non_decreasing | |
| tf.debugging.is_numeric_tensor | | tf.debugging.is_numeric_tensor |
| tf.debugging.is_strictly_increasing | tf.math.is_strictly_increasing | |
| tf.decode_base64 | tf.io.decode_base64 | |
| tf.decode_compressed | tf.io.decode_compressed | |
| tf.decode_csv | tf.io.decode_csv | |
| tf.decode_json_example | tf.io.decode_json_example | |
| tf.decode_raw | tf.io.decode_raw | |
| tf.delete_session_tensor | tf.compat.v1.delete_session_tensor | |
| tf.depth_to_space | tf.compat.v1.depth_to_space | |
| tf.dequantize | tf.quantization.dequantize | |
| tf.deserialize_many_sparse | tf.io.deserialize_many_sparse | |
| tf.device | | tf.device |
| tf.diag | tf.linalg.tensor_diag | |
| tf.diag_part | tf.linalg.tensor_diag_part | |
| tf.digamma | tf.math.digamma | |
| tf.disable_resource_variables | tf.compat.v1.disable_resource_variables | |
| tf.distributions | | |
| tf.distributions.Bernoulli | tf.compat.v1.distributions.Bernoulli | |
| tf.distributions.Beta | tf.compat.v1.distributions.Beta | |
| tf.distributions.Categorical | tf.compat.v1.distributions.Categorical | |
| tf.distributions.Dirichlet | tf.compat.v1.distributions.Dirichlet | |
| tf.distributions.DirichletMultinomial | tf.compat.v1.distributions.DirichletMultinomial | |
| tf.distributions.Distribution | tf.compat.v1.distributions.Distribution | |
| tf.distributions.Exponential | tf.compat.v1.distributions.Exponential | |
| tf.distributions.Gamma | tf.compat.v1.distributions.Gamma | |
| tf.distributions.Laplace | tf.compat.v1.distributions.Laplace | |
| tf.distributions.Multinomial | tf.compat.v1.distributions.Multinomial | |
| tf.distributions.Normal | tf.compat.v1.distributions.Normal | |
| tf.distributions.RegisterKL | tf.compat.v1.distributions.RegisterKL | |
| tf.distributions.ReparameterizationType | tf.compat.v1.distributions.ReparameterizationType | |
| tf.distributions.StudentT | tf.compat.v1.distributions.StudentT | |
| tf.distributions.Uniform | tf.compat.v1.distributions.Uniform | |
| tf.distributions.kl_divergence | tf.compat.v1.distributions.kl_divergence | |
| tf.div | tf.compat.v1.div | |
| tf.div_no_nan | tf.math.divide_no_nan | tf.div_no_nan |
| tf.divide | | tf.divide |
| tf.dtypes | | tf.dtypes |
| tf.dtypes.DType | | tf.dtypes.DType |
| tf.dtypes.as_dtype | | tf.dtypes.as_dtype |
| tf.dtypes.as_string | tf.strings.as_string | |
| tf.dtypes.cast | | tf.dtypes.cast |
| tf.dtypes.complex | | tf.dtypes.complex |
| tf.dtypes.saturate_cast | | tf.dtypes.saturate_cast |
| tf.dynamic_partition | | tf.dynamic_partition |
| tf.dynamic_stitch | | tf.dynamic_stitch |
| tf.edit_distance | | tf.edit_distance |
| tf.einsum | | tf.einsum |
| tf.enable_eager_execution | tf.compat.v1.enable_eager_execution | |
| tf.enable_resource_variables | tf.compat.v1.enable_resource_variables | |
| tf.encode_base64 | tf.io.encode_base64 | |
| tf.ensure_shape | | tf.ensure_shape |
| tf.equal | | tf.equal |
| tf.erf | tf.math.erf | |
| tf.erfc | tf.math.erfc | |
| tf.errors | | tf.errors |
| tf.errors.AbortedError | | tf.errors.AbortedError |
| tf.errors.AlreadyExistsError | | tf.errors.AlreadyExistsError |
| tf.errors.CancelledError | | tf.errors.CancelledError |
| tf.errors.DataLossError | | tf.errors.DataLossError |
| tf.errors.DeadlineExceededError | | tf.errors.DeadlineExceededError |
| tf.errors.FailedPreconditionError | | tf.errors.FailedPreconditionError |
| tf.errors.InternalError | | tf.errors.InternalError |
| tf.errors.InvalidArgumentError | | tf.errors.InvalidArgumentError |
| tf.errors.NotFoundError | | tf.errors.NotFoundError |
| tf.errors.OpError | | tf.errors.OpError |
| tf.errors.OutOfRangeError | | tf.errors.OutOfRangeError |
| tf.errors.PermissionDeniedError | | tf.errors.PermissionDeniedError |
| tf.errors.ResourceExhaustedError | | tf.errors.ResourceExhaustedError |
| tf.errors.UnauthenticatedError | | tf.errors.UnauthenticatedError |
| tf.errors.UnavailableError | | tf.errors.UnavailableError |
| tf.errors.UnimplementedError | | tf.errors.UnimplementedError |
| tf.errors.UnknownError | | tf.errors.UnknownError |
| tf.errors.error_code_from_exception_type | | tf.errors.error_code_from_exception_type |
| tf.errors.exception_type_from_error_code | | tf.errors.exception_type_from_error_code |
| tf.errors.raise_exception_on_not_ok_status | | tf.errors.raise_exception_on_not_ok_status |
| tf.estimator | | tf.estimator |
| tf.estimator.BaselineClassifier | | tf.estimator.BaselineClassifier |
| tf.estimator.BaselineRegressor | | tf.estimator.BaselineRegressor |
| tf.estimator.BestExporter | | tf.estimator.BestExporter |
| tf.estimator.BoostedTreesClassifier | | tf.estimator.BoostedTreesClassifier |
| tf.estimator.BoostedTreesRegressor | | tf.estimator.BoostedTreesRegressor |
| tf.estimator.DNNClassifier | | tf.estimator.DNNClassifier |
| tf.estimator.DNNLinearCombinedClassifier | | tf.estimator.DNNLinearCombinedClassifier |
| tf.estimator.DNNLinearCombinedRegressor | | tf.estimator.DNNLinearCombinedRegressor |
| tf.estimator.DNNRegressor | | tf.estimator.DNNRegressor |
| tf.estimator.Estimator | | tf.estimator.Estimator |
| tf.estimator.EstimatorSpec | | tf.estimator.EstimatorSpec |
| tf.estimator.EvalSpec | | tf.estimator.EvalSpec |
| tf.estimator.Exporter | | tf.estimator.Exporter |
| tf.estimator.FinalExporter | | tf.estimator.FinalExporter |
| tf.estimator.LatestExporter | | tf.estimator.LatestExporter |
| tf.estimator.LinearClassifier | | tf.estimator.LinearClassifier |
| tf.estimator.LinearRegressor | | tf.estimator.LinearRegressor |
| tf.estimator.ModeKeys | | tf.estimator.ModeKeys |
| tf.estimator.RunConfig | | tf.estimator.RunConfig |
| tf.estimator.TrainSpec | | tf.estimator.TrainSpec |
| tf.estimator.VocabInfo | | tf.estimator.VocabInfo |
| tf.estimator.WarmStartSettings | | tf.estimator.WarmStartSettings |
| tf.estimator.classifier_parse_example_spec | | tf.estimator.classifier_parse_example_spec |
| tf.estimator.export | | tf.estimator.export |
| tf.estimator.export.ClassificationOutput | | tf.estimator.export.ClassificationOutput |
| tf.estimator.export.ExportOutput | | tf.estimator.export.ExportOutput |
| tf.estimator.export.PredictOutput | | tf.estimator.export.PredictOutput |
| tf.estimator.export.RegressionOutput | | tf.estimator.export.RegressionOutput |
| tf.estimator.export.ServingInputReceiver | | tf.estimator.export.ServingInputReceiver |
| tf.estimator.export.TensorServingInputReceiver | | tf.estimator.export.TensorServingInputReceiver |
| tf.estimator.export.build_parsing_serving_input_receiver_fn | | tf.estimator.export.build_parsing_serving_input_receiver_fn |
| tf.estimator.export.build_raw_serving_input_receiver_fn | | tf.estimator.export.build_raw_serving_input_receiver_fn |
| tf.estimator.inputs | tf.compat.v1.estimator.inputs | |
| tf.estimator.inputs.numpy_input_fn | tf.compat.v1.estimator.inputs.numpy_input_fn | |
| tf.estimator.inputs.pandas_input_fn | tf.compat.v1.estimator.inputs.pandas_input_fn | |
| tf.estimator.regressor_parse_example_spec | | tf.estimator.regressor_parse_example_spec |
| tf.estimator.train_and_evaluate | | tf.estimator.train_and_evaluate |
| tf.executing_eagerly | | tf.executing_eagerly |
| tf.exp | | tf.exp |
| tf.expand_dims | | tf.expand_dims |
| tf.expm1 | tf.math.expm1 | |
| tf.extract_image_patches | tf.image.extract_image_patches | |
| tf.extract_volume_patches | | tf.extract_volume_patches |
| tf.eye | | tf.eye |
| tf.fake_quant_with_min_max_args | tf.quantization.fake_quant_with_min_max_args | |
| tf.fake_quant_with_min_max_args_gradient | tf.quantization.fake_quant_with_min_max_args_gradient | |
| tf.fake_quant_with_min_max_vars | tf.quantization.fake_quant_with_min_max_vars | |
| tf.fake_quant_with_min_max_vars_gradient | tf.quantization.fake_quant_with_min_max_vars_gradient | |
| tf.fake_quant_with_min_max_vars_per_channel | tf.quantization.fake_quant_with_min_max_vars_per_channel | |
| tf.fake_quant_with_min_max_vars_per_channel_gradient | tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient | |
| tf.feature_column | | tf.feature_column |
| tf.feature_column.bucketized_column | | tf.feature_column.bucketized_column |
| tf.feature_column.categorical_column_with_hash_bucket | | tf.feature_column.categorical_column_with_hash_bucket |
| tf.feature_column.categorical_column_with_identity | | tf.feature_column.categorical_column_with_identity |
| tf.feature_column.categorical_column_with_vocabulary_file | | tf.feature_column.categorical_column_with_vocabulary_file |
| tf.feature_column.categorical_column_with_vocabulary_list | | tf.feature_column.categorical_column_with_vocabulary_list |
| tf.feature_column.crossed_column | | tf.feature_column.crossed_column |
| tf.feature_column.embedding_column | | tf.feature_column.embedding_column |
| tf.feature_column.indicator_column | | tf.feature_column.indicator_column |
| tf.feature_column.input_layer | tf.compat.v1.feature_column.input_layer | |
| tf.feature_column.linear_model | tf.compat.v1.feature_column.linear_model | |
| tf.feature_column.make_parse_example_spec | | tf.feature_column.make_parse_example_spec |
| tf.feature_column.numeric_column | | tf.feature_column.numeric_column |
| tf.feature_column.shared_embedding_columns | tf.compat.v1.feature_column.shared_embedding_columns | tf.feature_column.shared_embedding_columns |
| tf.feature_column.weighted_categorical_column | | tf.feature_column.weighted_categorical_column |
| tf.fft | tf.signal.fft | |
| tf.fft2d | tf.signal.fft2d | |
| tf.fft3d | tf.signal.fft3d | |
| tf.fill | | tf.fill |
| tf.fixed_size_partitioner | tf.compat.v1.fixed_size_partitioner | |
| tf.flags | | |
| tf.floor | | tf.floor |
| tf.floor_div | | tf.floor_div |
| tf.floordiv | tf.math.floordiv | |
| tf.floormod | | tf.floormod |
| tf.foldl | | tf.foldl |
| tf.foldr | | tf.foldr |
| tf.gather | | tf.gather |
| tf.gather_nd | | tf.gather_nd |
| tf.get_collection | tf.compat.v1.get_collection | |
| tf.get_collection_ref | tf.compat.v1.get_collection_ref | |
| tf.get_default_graph | tf.compat.v1.get_default_graph | |
| tf.get_default_session | tf.compat.v1.get_default_session | |
| tf.get_local_variable | tf.compat.v1.get_local_variable | |
| tf.get_seed | tf.compat.v1.get_seed | |
| tf.get_session_handle | tf.compat.v1.get_session_handle | |
| tf.get_session_tensor | tf.compat.v1.get_session_tensor | |
| tf.get_variable | tf.compat.v1.get_variable | |
| tf.get_variable_scope | tf.compat.v1.get_variable_scope | |
| tf.gfile | | |
| tf.gfile.Copy | tf.io.gfile.copy | |
| tf.gfile.DeleteRecursively | tf.io.gfile.rmtree | |
| tf.gfile.Exists | tf.io.gfile.exists | |
| tf.gfile.FastGFile | tf.compat.v1.gfile.FastGFile | |
| tf.gfile.GFile | tf.io.gfile.GFile | |
| tf.gfile.Glob | tf.io.gfile.glob | |
| tf.gfile.IsDirectory | tf.io.gfile.isdir | |
| tf.gfile.ListDirectory | tf.io.gfile.listdir | |
| tf.gfile.MakeDirs | tf.io.gfile.makedirs | |
| tf.gfile.MkDir | tf.io.gfile.mkdir | |
| tf.gfile.Open | tf.io.gfile.GFile | |
| tf.gfile.Remove | tf.io.gfile.remove | |
| tf.gfile.Rename | tf.io.gfile.rename | |
| tf.gfile.Stat | tf.io.gfile.stat | |
| tf.gfile.Walk | tf.io.gfile.walk | |
| tf.global_norm | tf.linalg.global_norm | |
| tf.global_variables | tf.compat.v1.global_variables | |
| tf.global_variables_initializer | tf.compat.v1.global_variables_initializer | |
| tf.glorot_normal_initializer | tf.compat.v1.glorot_normal_initializer | |
| tf.glorot_uniform_initializer | tf.compat.v1.glorot_uniform_initializer | tf.glorot_uniform_initializer |
| tf.gradients | | tf.gradients |
| tf.graph_util | | tf.graph_util |
| tf.graph_util.convert_variables_to_constants | tf.compat.v1.graph_util.convert_variables_to_constants | |
| tf.graph_util.extract_sub_graph | tf.compat.v1.graph_util.extract_sub_graph | |
| tf.graph_util.import_graph_def | | tf.graph_util.import_graph_def |
| tf.graph_util.must_run_on_cpu | tf.compat.v1.graph_util.must_run_on_cpu | |
| tf.graph_util.remove_training_nodes | tf.compat.v1.graph_util.remove_training_nodes | |
| tf.graph_util.tensor_shape_from_node_def_name | tf.compat.v1.graph_util.tensor_shape_from_node_def_name | |
| tf.greater | | tf.greater |
| tf.greater_equal | | tf.greater_equal |
| tf.group | | tf.group |
| tf.guarantee_const | | tf.guarantee_const |
| tf.hessians | | tf.hessians |
| tf.histogram_fixed_width | | tf.histogram_fixed_width |
| tf.histogram_fixed_width_bins | | tf.histogram_fixed_width_bins |
| tf.identity | | tf.identity |
| tf.identity_n | | tf.identity_n |
| tf.ifft | tf.signal.ifft | |
| tf.ifft2d | tf.signal.ifft2d | |
| tf.ifft3d | tf.signal.ifft3d | |
| tf.igamma | tf.math.igamma | |
| tf.igammac | tf.math.igammac | |
| tf.imag | tf.math.imag | |
| tf.image | | tf.image |
| tf.image.ResizeMethod | | tf.image.ResizeMethod |
| tf.image.adjust_brightness | | tf.image.adjust_brightness |
| tf.image.adjust_contrast | | tf.image.adjust_contrast |
| tf.image.adjust_gamma | | tf.image.adjust_gamma |
| tf.image.adjust_hue | | tf.image.adjust_hue |
| tf.image.adjust_jpeg_quality | | tf.image.adjust_jpeg_quality |
| tf.image.adjust_saturation | | tf.image.adjust_saturation |
| tf.image.central_crop | | tf.image.central_crop |
| tf.image.convert_image_dtype | | tf.image.convert_image_dtype |
| tf.image.crop_and_resize | | tf.image.crop_and_resize |
| tf.image.crop_to_bounding_box | | tf.image.crop_to_bounding_box |
| tf.image.decode_and_crop_jpeg | | tf.image.decode_and_crop_jpeg |
| tf.image.decode_bmp | | tf.image.decode_bmp |
| tf.image.decode_gif | | tf.image.decode_gif |
| tf.image.decode_image | | tf.image.decode_image |
| tf.image.decode_jpeg | | tf.image.decode_jpeg |
| tf.image.decode_png | | tf.image.decode_png |
| tf.image.draw_bounding_boxes | | tf.image.draw_bounding_boxes |
| tf.image.encode_jpeg | | tf.image.encode_jpeg |
| tf.image.encode_png | | tf.image.encode_png |
| tf.image.extract_glimpse | | tf.image.extract_glimpse |
| tf.image.extract_image_patches | | tf.image.extract_image_patches |
| tf.image.extract_jpeg_shape | | tf.image.extract_jpeg_shape |
| tf.image.flip_left_right | | tf.image.flip_left_right |
| tf.image.flip_up_down | | tf.image.flip_up_down |
| tf.image.grayscale_to_rgb | | tf.image.grayscale_to_rgb |
| tf.image.hsv_to_rgb | | tf.image.hsv_to_rgb |
| tf.image.image_gradients | | tf.image.image_gradients |
| tf.image.is_jpeg | | tf.image.is_jpeg |
| tf.image.non_max_suppression | | tf.image.non_max_suppression |
| tf.image.non_max_suppression_overlaps | | tf.image.non_max_suppression_overlaps |
| tf.image.non_max_suppression_padded | | tf.image.non_max_suppression_padded |
| tf.image.pad_to_bounding_box | | tf.image.pad_to_bounding_box |
| tf.image.per_image_standardization | | tf.image.per_image_standardization |
| tf.image.psnr | | tf.image.psnr |
| tf.image.random_brightness | | tf.image.random_brightness |
| tf.image.random_contrast | | tf.image.random_contrast |
| tf.image.random_crop | | tf.image.random_crop |
| tf.image.random_flip_left_right | | tf.image.random_flip_left_right |
| tf.image.random_flip_up_down | | tf.image.random_flip_up_down |
| tf.image.random_hue | | tf.image.random_hue |
| tf.image.random_jpeg_quality | | tf.image.random_jpeg_quality |
| tf.image.random_saturation | | tf.image.random_saturation |
| tf.image.resize_area | tf.compat.v1.image.resize_area | |
| tf.image.resize_bicubic | tf.compat.v1.image.resize_bicubic | |
| tf.image.resize_bilinear | tf.compat.v1.image.resize_bilinear | |
| tf.image.resize_image_with_crop_or_pad | | tf.image.resize_image_with_crop_or_pad |
| tf.image.resize_image_with_pad | tf.compat.v1.image.resize_image_with_pad | tf.image.resize_image_with_pad |
| tf.image.resize_images | tf.image.resize | |
| tf.image.resize_nearest_neighbor | tf.compat.v1.image.resize_nearest_neighbor | |
| tf.image.rgb_to_grayscale | | tf.image.rgb_to_grayscale |
| tf.image.rgb_to_hsv | | tf.image.rgb_to_hsv |
| tf.image.rgb_to_yiq | | tf.image.rgb_to_yiq |
| tf.image.rgb_to_yuv | | tf.image.rgb_to_yuv |
| tf.image.rot90 | | tf.image.rot90 |
| tf.image.sample_distorted_bounding_box | | tf.image.sample_distorted_bounding_box |
| tf.image.sobel_edges | | tf.image.sobel_edges |
| tf.image.ssim | | tf.image.ssim |
| tf.image.ssim_multiscale | | tf.image.ssim_multiscale |
| tf.image.total_variation | | tf.image.total_variation |
| tf.image.transpose_image | tf.compat.v1.image.transpose_image | |
| tf.image.yiq_to_rgb | | tf.image.yiq_to_rgb |
| tf.image.yuv_to_rgb | | tf.image.yuv_to_rgb |
| tf.import_graph_def | | tf.import_graph_def |
| tf.init_scope | | tf.init_scope |
| tf.initialize_all_tables | tf.compat.v1.initialize_all_tables | |
| tf.initialize_all_variables | tf.variables_initializer / tf.compat.v1.initialize_all_variables | |
| tf.initialize_local_variables | tf.local_variables_initializer / tf.compat.v1.initialize_local_variables | |
| tf.initialize_variables | tf.compat.v1.initialize_variables / tf.compat.v1.initialize_variables | |
| tf.initializers | | tf.initializers |
| tf.initializers.constant | tf.compat.v1.initializers.constant | tf.initializers.constant |
| tf.initializers.global_variables | tf.compat.v1.initializers.global_variables | |
| tf.initializers.glorot_normal | tf.compat.v1.initializers.glorot_normal | tf.initializers.glorot_normal |
| tf.initializers.glorot_uniform | tf.compat.v1.initializers.glorot_uniform | tf.initializers.glorot_uniform |
| tf.initializers.he_normal | tf.compat.v1.initializers.he_normal | tf.initializers.he_normal |
| tf.initializers.he_uniform | tf.compat.v1.initializers.he_uniform | tf.initializers.he_uniform |
| tf.initializers.identity | tf.compat.v1.initializers.identity | tf.initializers.identity |
| tf.initializers.lecun_normal | tf.compat.v1.initializers.lecun_normal | tf.initializers.lecun_normal |
| tf.initializers.lecun_uniform | tf.compat.v1.initializers.lecun_uniform | tf.initializers.lecun_uniform |
| tf.initializers.local_variables | tf.compat.v1.initializers.local_variables | |
| tf.initializers.ones | tf.compat.v1.initializers.ones | tf.initializers.ones |
| tf.initializers.orthogonal | tf.compat.v1.initializers.orthogonal | tf.initializers.orthogonal |
| tf.initializers.random_normal | tf.compat.v1.initializers.random_normal | tf.initializers.random_normal |
| tf.initializers.random_uniform | tf.compat.v1.initializers.random_uniform | tf.initializers.random_uniform |
| tf.initializers.tables_initializer | tf.compat.v1.initializers.tables_initializer | |
| tf.initializers.truncated_normal | tf.compat.v1.initializers.truncated_normal | tf.initializers.truncated_normal |
| tf.initializers.uniform_unit_scaling | tf.compat.v1.initializers.uniform_unit_scaling | tf.initializers.uniform_unit_scaling |
| tf.initializers.variables | tf.compat.v1.initializers.variables | |
| tf.initializers.variance_scaling | tf.compat.v1.initializers.variance_scaling | tf.initializers.variance_scaling |
| tf.initializers.zeros | tf.compat.v1.initializers.zeros | tf.initializers.zeros |
| tf.invert_permutation | tf.math.invert_permutation | |
| tf.io | | tf.io |
| tf.io.FixedLenFeature | | tf.io.FixedLenFeature |
| tf.io.FixedLenSequenceFeature | | tf.io.FixedLenSequenceFeature |
| tf.io.PaddingFIFOQueue | tf.queue.PaddingFIFOQueue | |
| tf.io.PriorityQueue | tf.queue.PriorityQueue | |
| tf.io.QueueBase | tf.queue.QueueBase | |
| tf.io.RandomShuffleQueue | tf.queue.RandomShuffleQueue | |
| tf.io.SparseFeature | | tf.io.SparseFeature |
| tf.io.TFRecordCompressionType | | tf.io.TFRecordCompressionType |
| tf.io.TFRecordOptions | | tf.io.TFRecordOptions |
| tf.io.TFRecordWriter | | tf.io.TFRecordWriter |
| tf.io.VarLenFeature | | tf.io.VarLenFeature |
| tf.io.decode_base64 | | tf.io.decode_base64 |
| tf.io.decode_compressed | | tf.io.decode_compressed |
| tf.io.decode_csv | | tf.io.decode_csv |
| tf.io.decode_json_example | | tf.io.decode_json_example |
| tf.io.decode_raw | | tf.io.decode_raw |
| tf.io.deserialize_many_sparse | | tf.io.deserialize_many_sparse |
| tf.io.encode_base64 | | tf.io.encode_base64 |
| tf.io.match_filenames_once | | tf.io.match_filenames_once |
| tf.io.matching_files | | tf.io.matching_files |
| tf.io.parse_example | | tf.io.parse_example |
| tf.io.parse_sequence_example | | tf.io.parse_sequence_example |
| tf.io.parse_single_example | | tf.io.parse_single_example |
| tf.io.parse_single_sequence_example | | tf.io.parse_single_sequence_example |
| tf.io.parse_tensor | | tf.io.parse_tensor |
| tf.io.read_file | | tf.io.read_file |
| tf.io.serialize_many_sparse | | tf.io.serialize_many_sparse |
| tf.io.serialize_sparse | | tf.io.serialize_sparse |
| tf.io.tf_record_iterator | tf.compat.v1.io.tf_record_iterator | |
| tf.io.write_file | | tf.io.write_file |
| tf.io.write_graph | | tf.io.write_graph |
| tf.is_finite | tf.math.is_finite | |
| tf.is_inf | tf.math.is_inf | |
| tf.is_nan | tf.math.is_nan | |
| tf.is_non_decreasing | tf.math.is_non_decreasing | |
| tf.is_numeric_tensor | tf.debugging.is_numeric_tensor | |
| tf.is_strictly_increasing | tf.math.is_strictly_increasing | |
| tf.is_variable_initialized | tf.compat.v1.is_variable_initialized | |
| tf.keras | | tf.keras |
| tf.keras.Input | | tf.keras.Input |
| tf.keras.Model | | tf.keras.Model |
| tf.keras.Sequential | | tf.keras.Sequential |
| tf.keras.activations | | tf.keras.activations |
| tf.keras.activations.deserialize | | tf.keras.activations.deserialize |
| tf.keras.activations.elu | | tf.keras.activations.elu |
| tf.keras.activations.get | | tf.keras.activations.get |
| tf.keras.activations.hard_sigmoid | | tf.keras.activations.hard_sigmoid |
| tf.keras.activations.linear | | tf.keras.activations.linear |
| tf.keras.activations.relu | | tf.keras.activations.relu |
| tf.keras.activations.selu | | tf.keras.activations.selu |
| tf.keras.activations.serialize | | tf.keras.activations.serialize |
| tf.keras.activations.sigmoid | | tf.keras.activations.sigmoid |
| tf.keras.activations.softmax | | tf.keras.activations.softmax |
| tf.keras.activations.softplus | | tf.keras.activations.softplus |
| tf.keras.activations.softsign | | tf.keras.activations.softsign |
| tf.keras.activations.tanh | | tf.keras.activations.tanh |
| tf.keras.applications | | tf.keras.applications |
| tf.keras.backend | | tf.keras.backend |
| tf.keras.backend.abs | | tf.keras.backend.abs |
| tf.keras.backend.all | | tf.keras.backend.all |
| tf.keras.backend.any | | tf.keras.backend.any |
| tf.keras.backend.arange | | tf.keras.backend.arange |
| tf.keras.backend.argmax | | tf.keras.backend.argmax |
| tf.keras.backend.argmin | | tf.keras.backend.argmin |
| tf.keras.backend.backend | | tf.keras.backend.backend |
| tf.keras.backend.batch_dot | | tf.keras.backend.batch_dot |
| tf.keras.backend.batch_flatten | | tf.keras.backend.batch_flatten |
| tf.keras.backend.batch_get_value | | tf.keras.backend.batch_get_value |
| tf.keras.backend.batch_normalization | | tf.keras.backend.batch_normalization |
| tf.keras.backend.batch_set_value | | tf.keras.backend.batch_set_value |
| tf.keras.backend.bias_add | | tf.keras.backend.bias_add |
| tf.keras.backend.binary_crossentropy | | tf.keras.backend.binary_crossentropy |
| tf.keras.backend.cast | | tf.keras.backend.cast |
| tf.keras.backend.cast_to_floatx | | tf.keras.backend.cast_to_floatx |
| tf.keras.backend.categorical_crossentropy | | tf.keras.backend.categorical_crossentropy |
| tf.keras.backend.clear_session | | tf.keras.backend.clear_session |
| tf.keras.backend.clip | | tf.keras.backend.clip |
| tf.keras.backend.concatenate | | tf.keras.backend.concatenate |
| tf.keras.backend.constant | | tf.keras.backend.constant |
| tf.keras.backend.conv1d | | tf.keras.backend.conv1d |
| tf.keras.backend.conv2d | | tf.keras.backend.conv2d |
| tf.keras.backend.conv2d_transpose | | tf.keras.backend.conv2d_transpose |
| tf.keras.backend.conv3d | | tf.keras.backend.conv3d |
| tf.keras.backend.cos | | tf.keras.backend.cos |
| tf.keras.backend.count_params | | tf.keras.backend.count_params |
| tf.keras.backend.ctc_batch_cost | | tf.keras.backend.ctc_batch_cost |
| tf.keras.backend.ctc_decode | | tf.keras.backend.ctc_decode |
| tf.keras.backend.ctc_label_dense_to_sparse | | tf.keras.backend.ctc_label_dense_to_sparse |
| tf.keras.backend.dot | | tf.keras.backend.dot |
| tf.keras.backend.dropout | | tf.keras.backend.dropout |
| tf.keras.backend.dtype | | tf.keras.backend.dtype |
| tf.keras.backend.elu | | tf.keras.backend.elu |
| tf.keras.backend.epsilon | | tf.keras.backend.epsilon |
| tf.keras.backend.equal | | tf.keras.backend.equal |
| tf.keras.backend.eval | | tf.keras.backend.eval |
| tf.keras.backend.exp | | tf.keras.backend.exp |
| tf.keras.backend.expand_dims | | tf.keras.backend.expand_dims |
| tf.keras.backend.eye | | tf.keras.backend.eye |
| tf.keras.backend.flatten | | tf.keras.backend.flatten |
| tf.keras.backend.floatx | | tf.keras.backend.floatx |
| tf.keras.backend.foldl | | tf.keras.backend.foldl |
| tf.keras.backend.foldr | | tf.keras.backend.foldr |
| tf.keras.backend.function | | tf.keras.backend.function |
| tf.keras.backend.gather | | tf.keras.backend.gather |
| tf.keras.backend.get_session | tf.compat.v1.keras.backend.get_session | |
| tf.keras.backend.get_uid | | tf.keras.backend.get_uid |
| tf.keras.backend.get_value | | tf.keras.backend.get_value |
| tf.keras.backend.gradients | | tf.keras.backend.gradients |
| tf.keras.backend.greater | | tf.keras.backend.greater |
| tf.keras.backend.greater_equal | | tf.keras.backend.greater_equal |
| tf.keras.backend.hard_sigmoid | | tf.keras.backend.hard_sigmoid |
| tf.keras.backend.image_data_format | | tf.keras.backend.image_data_format |
| tf.keras.backend.in_test_phase | | tf.keras.backend.in_test_phase |
| tf.keras.backend.in_top_k | | tf.keras.backend.in_top_k |
| tf.keras.backend.in_train_phase | | tf.keras.backend.in_train_phase |
| tf.keras.backend.int_shape | | tf.keras.backend.int_shape |
| tf.keras.backend.is_sparse | | tf.keras.backend.is_sparse |
| tf.keras.backend.l2_normalize | | tf.keras.backend.l2_normalize |
| tf.keras.backend.learning_phase | | tf.keras.backend.learning_phase |
| tf.keras.backend.less | | tf.keras.backend.less |
| tf.keras.backend.less_equal | | tf.keras.backend.less_equal |
| tf.keras.backend.log | | tf.keras.backend.log |
| tf.keras.backend.manual_variable_initialization | | tf.keras.backend.manual_variable_initialization |
| tf.keras.backend.map_fn | | tf.keras.backend.map_fn |
| tf.keras.backend.max | | tf.keras.backend.max |
| tf.keras.backend.maximum | | tf.keras.backend.maximum |
| tf.keras.backend.mean | | tf.keras.backend.mean |
| tf.keras.backend.min | | tf.keras.backend.min |
| tf.keras.backend.minimum | | tf.keras.backend.minimum |
| tf.keras.backend.moving_average_update | | tf.keras.backend.moving_average_update |
| tf.keras.backend.name_scope | | tf.keras.backend.name_scope |
| tf.keras.backend.ndim | | tf.keras.backend.ndim |
| tf.keras.backend.normalize_batch_in_training | | tf.keras.backend.normalize_batch_in_training |
| tf.keras.backend.not_equal | | tf.keras.backend.not_equal |
| tf.keras.backend.one_hot | | tf.keras.backend.one_hot |
| tf.keras.backend.ones | | tf.keras.backend.ones |
| tf.keras.backend.ones_like | | tf.keras.backend.ones_like |
| tf.keras.backend.permute_dimensions | | tf.keras.backend.permute_dimensions |
| tf.keras.backend.placeholder | | tf.keras.backend.placeholder |
| tf.keras.backend.pool2d | | tf.keras.backend.pool2d |
| tf.keras.backend.pool3d | | tf.keras.backend.pool3d |
| tf.keras.backend.pow | | tf.keras.backend.pow |
| tf.keras.backend.print_tensor | | tf.keras.backend.print_tensor |
| tf.keras.backend.prod | | tf.keras.backend.prod |
| tf.keras.backend.random_binomial | | tf.keras.backend.random_binomial |
| tf.keras.backend.random_normal | | tf.keras.backend.random_normal |
| tf.keras.backend.random_normal_variable | | tf.keras.backend.random_normal_variable |
| tf.keras.backend.random_uniform | | tf.keras.backend.random_uniform |
| tf.keras.backend.random_uniform_variable | | tf.keras.backend.random_uniform_variable |
| tf.keras.backend.relu | | tf.keras.backend.relu |
| tf.keras.backend.repeat | | tf.keras.backend.repeat |
| tf.keras.backend.repeat_elements | | tf.keras.backend.repeat_elements |
| tf.keras.backend.reset_uids | | tf.keras.backend.reset_uids |
| tf.keras.backend.reshape | | tf.keras.backend.reshape |
| tf.keras.backend.resize_images | | tf.keras.backend.resize_images |
| tf.keras.backend.resize_volumes | | tf.keras.backend.resize_volumes |
| tf.keras.backend.reverse | | tf.keras.backend.reverse |
| tf.keras.backend.rnn | | tf.keras.backend.rnn |
| tf.keras.backend.round | | tf.keras.backend.round |
| tf.keras.backend.separable_conv2d | | tf.keras.backend.separable_conv2d |
| tf.keras.backend.set_epsilon | | tf.keras.backend.set_epsilon |
| tf.keras.backend.set_floatx | | tf.keras.backend.set_floatx |
| tf.keras.backend.set_image_data_format | | tf.keras.backend.set_image_data_format |
| tf.keras.backend.set_learning_phase | | tf.keras.backend.set_learning_phase |
| tf.keras.backend.set_session | | tf.keras.backend.set_session |
| tf.keras.backend.set_value | | tf.keras.backend.set_value |
| tf.keras.backend.shape | | tf.keras.backend.shape |
| tf.keras.backend.sigmoid | | tf.keras.backend.sigmoid |
| tf.keras.backend.sign | | tf.keras.backend.sign |
| tf.keras.backend.sin | | tf.keras.backend.sin |
| tf.keras.backend.softmax | | tf.keras.backend.softmax |
| tf.keras.backend.softplus | | tf.keras.backend.softplus |
| tf.keras.backend.softsign | | tf.keras.backend.softsign |
| tf.keras.backend.sparse_categorical_crossentropy | | tf.keras.backend.sparse_categorical_crossentropy |
| tf.keras.backend.spatial_2d_padding | | tf.keras.backend.spatial_2d_padding |
| tf.keras.backend.spatial_3d_padding | | tf.keras.backend.spatial_3d_padding |
| tf.keras.backend.sqrt | | tf.keras.backend.sqrt |
| tf.keras.backend.square | | tf.keras.backend.square |
| tf.keras.backend.squeeze | | tf.keras.backend.squeeze |
| tf.keras.backend.stack | | tf.keras.backend.stack |
| tf.keras.backend.std | | tf.keras.backend.std |
| tf.keras.backend.stop_gradient | | tf.keras.backend.stop_gradient |
| tf.keras.backend.sum | | tf.keras.backend.sum |
| tf.keras.backend.switch | | tf.keras.backend.switch |
| tf.keras.backend.tanh | | tf.keras.backend.tanh |
| tf.keras.backend.temporal_padding | | tf.keras.backend.temporal_padding |
| tf.keras.backend.to_dense | | tf.keras.backend.to_dense |
| tf.keras.backend.transpose | | tf.keras.backend.transpose |
| tf.keras.backend.truncated_normal | | tf.keras.backend.truncated_normal |
| tf.keras.backend.update | | tf.keras.backend.update |
| tf.keras.backend.update_add | | tf.keras.backend.update_add |
| tf.keras.backend.update_sub | | tf.keras.backend.update_sub |
| tf.keras.backend.var | | tf.keras.backend.var |
| tf.keras.backend.variable | | tf.keras.backend.variable |
| tf.keras.backend.zeros | | tf.keras.backend.zeros |
| tf.keras.backend.zeros_like | | tf.keras.backend.zeros_like |
| tf.keras.callbacks | | tf.keras.callbacks |
| tf.keras.callbacks.BaseLogger | | tf.keras.callbacks.BaseLogger |
| tf.keras.callbacks.CSVLogger | | tf.keras.callbacks.CSVLogger |
| tf.keras.callbacks.Callback | | tf.keras.callbacks.Callback |
| tf.keras.callbacks.EarlyStopping | | tf.keras.callbacks.EarlyStopping |
| tf.keras.callbacks.History | | tf.keras.callbacks.History |
| tf.keras.callbacks.LambdaCallback | | tf.keras.callbacks.LambdaCallback |
| tf.keras.callbacks.LearningRateScheduler | | tf.keras.callbacks.LearningRateScheduler |
| tf.keras.callbacks.ModelCheckpoint | | tf.keras.callbacks.ModelCheckpoint |
| tf.keras.callbacks.ProgbarLogger | | tf.keras.callbacks.ProgbarLogger |
| tf.keras.callbacks.ReduceLROnPlateau | | tf.keras.callbacks.ReduceLROnPlateau |
| tf.keras.callbacks.RemoteMonitor | | tf.keras.callbacks.RemoteMonitor |
| tf.keras.callbacks.TensorBoard | | tf.keras.callbacks.TensorBoard |
| tf.keras.callbacks.TerminateOnNaN | | tf.keras.callbacks.TerminateOnNaN |
| tf.keras.constraints | | tf.keras.constraints |
| tf.keras.constraints.Constraint | | tf.keras.constraints.Constraint |
| tf.keras.constraints.MaxNorm | | tf.keras.constraints.MaxNorm |
| tf.keras.constraints.MinMaxNorm | | tf.keras.constraints.MinMaxNorm |
| tf.keras.constraints.NonNeg | | tf.keras.constraints.NonNeg |
| tf.keras.constraints.UnitNorm | | tf.keras.constraints.UnitNorm |
| tf.keras.constraints.deserialize | | tf.keras.constraints.deserialize |
| tf.keras.constraints.get | | tf.keras.constraints.get |
| tf.keras.constraints.max_norm | | tf.keras.constraints.max_norm |
| tf.keras.constraints.min_max_norm | | tf.keras.constraints.min_max_norm |
| tf.keras.constraints.non_neg | | tf.keras.constraints.non_neg |
| tf.keras.constraints.serialize | | tf.keras.constraints.serialize |
| tf.keras.constraints.unit_norm | | tf.keras.constraints.unit_norm |
| tf.keras.datasets | | tf.keras.datasets |
| tf.keras.datasets.boston_housing | | tf.keras.datasets.boston_housing |
| tf.keras.datasets.boston_housing.load_data | | tf.keras.datasets.boston_housing.load_data |
| tf.keras.datasets.cifar10 | | tf.keras.datasets.cifar10 |
| tf.keras.datasets.cifar10.load_data | | tf.keras.datasets.cifar10.load_data |
| tf.keras.datasets.cifar100 | | tf.keras.datasets.cifar100 |
| tf.keras.datasets.cifar100.load_data | | tf.keras.datasets.cifar100.load_data |
| tf.keras.datasets.fashion_mnist | | tf.keras.datasets.fashion_mnist |
| tf.keras.datasets.fashion_mnist.load_data | | tf.keras.datasets.fashion_mnist.load_data |
| tf.keras.datasets.imdb | | tf.keras.datasets.imdb |
| tf.keras.datasets.imdb.get_word_index | | tf.keras.datasets.imdb.get_word_index |
| tf.keras.datasets.imdb.load_data | | tf.keras.datasets.imdb.load_data |
| tf.keras.datasets.mnist | | tf.keras.datasets.mnist |
| tf.keras.datasets.mnist.load_data | | tf.keras.datasets.mnist.load_data |
| tf.keras.datasets.reuters | | tf.keras.datasets.reuters |
| tf.keras.datasets.reuters.get_word_index | | tf.keras.datasets.reuters.get_word_index |
| tf.keras.datasets.reuters.load_data | | tf.keras.datasets.reuters.load_data |
| tf.keras.estimator | | tf.keras.estimator |
| tf.keras.estimator.model_to_estimator | | tf.keras.estimator.model_to_estimator |
| tf.keras.initializers | | tf.keras.initializers |
| tf.keras.initializers.Constant | | tf.keras.initializers.Constant |
| tf.keras.initializers.Identity | tf.compat.v1.keras.initializers.Identity | tf.keras.initializers.Identity |
| tf.keras.initializers.Initializer | | tf.keras.initializers.Initializer |
| tf.keras.initializers.Ones | | tf.keras.initializers.Ones |
| tf.keras.initializers.Orthogonal | tf.compat.v1.keras.initializers.Orthogonal | tf.keras.initializers.Orthogonal |
| tf.keras.initializers.RandomNormal | | tf.keras.initializers.RandomNormal |
| tf.keras.initializers.RandomUniform | | tf.keras.initializers.RandomUniform |
| tf.keras.initializers.TruncatedNormal | tf.compat.v1.keras.initializers.TruncatedNormal | tf.keras.initializers.TruncatedNormal |
| tf.keras.initializers.VarianceScaling | tf.compat.v1.keras.initializers.VarianceScaling | tf.keras.initializers.VarianceScaling |
| tf.keras.initializers.Zeros | | tf.keras.initializers.Zeros |
| tf.keras.initializers.constant | tf.compat.v1.keras.initializers.constant | tf.keras.initializers.Constant |
| tf.keras.initializers.deserialize | | tf.keras.initializers.deserialize |
| tf.keras.initializers.get | | tf.keras.initializers.get |
| tf.keras.initializers.glorot_normal | tf.compat.v1.keras.initializers.glorot_normal | tf.keras.initializers.glorot_normal |
| tf.keras.initializers.glorot_uniform | tf.compat.v1.keras.initializers.glorot_uniform | tf.keras.initializers.glorot_uniform |
| tf.keras.initializers.he_normal | tf.compat.v1.keras.initializers.he_normal | tf.keras.initializers.he_normal |
| tf.keras.initializers.he_uniform | tf.compat.v1.keras.initializers.he_uniform | tf.keras.initializers.he_uniform |
| tf.keras.initializers.identity | tf.compat.v1.keras.initializers.identity | tf.keras.initializers.Identity |
| tf.keras.initializers.lecun_normal | tf.compat.v1.keras.initializers.lecun_normal | tf.keras.initializers.lecun_normal |
| tf.keras.initializers.lecun_uniform | tf.compat.v1.keras.initializers.lecun_uniform | tf.keras.initializers.lecun_uniform |
| tf.keras.initializers.normal | tf.compat.v1.keras.initializers.normal | tf.keras.initializers.normal |
| tf.keras.initializers.ones | tf.compat.v1.keras.initializers.ones | tf.keras.initializers.Ones |
| tf.keras.initializers.orthogonal | tf.compat.v1.keras.initializers.orthogonal | tf.keras.initializers.Orthogonal |
| tf.keras.initializers.random_normal | tf.compat.v1.keras.initializers.random_normal | tf.keras.initializers.random_normal |
| tf.keras.initializers.random_uniform | tf.compat.v1.keras.initializers.random_uniform | tf.keras.initializers.random_uniform |
| tf.keras.initializers.serialize | | tf.keras.initializers.serialize |
| tf.keras.initializers.truncated_normal | tf.compat.v1.keras.initializers.truncated_normal | tf.keras.initializers.truncated_normal |
| tf.keras.initializers.uniform | tf.compat.v1.keras.initializers.uniform | tf.keras.initializers.uniform |
| tf.keras.initializers.zeros | tf.compat.v1.keras.initializers.zeros | tf.keras.initializers.Zeros |
| tf.keras.layers | | tf.keras.layers |
| tf.keras.layers.Activation | | tf.keras.layers.Activation |
| tf.keras.layers.ActivityRegularization | | tf.keras.layers.ActivityRegularization |
| tf.keras.layers.Add | | tf.keras.layers.Add |
| tf.keras.layers.AlphaDropout | | tf.keras.layers.AlphaDropout |
| tf.keras.layers.Average | | tf.keras.layers.Average |
| tf.keras.layers.AveragePooling1D | | tf.keras.layers.AveragePooling1D |
| tf.keras.layers.AveragePooling2D | | tf.keras.layers.AveragePooling2D |
| tf.keras.layers.AveragePooling3D | | tf.keras.layers.AveragePooling3D |
| tf.keras.layers.AvgPool1D | | tf.keras.layers.AvgPool1D |
| tf.keras.layers.AvgPool2D | | tf.keras.layers.AvgPool2D |
| tf.keras.layers.AvgPool3D | | tf.keras.layers.AvgPool3D |
| tf.keras.layers.BatchNormalization | | tf.keras.layers.BatchNormalization |
| tf.keras.layers.Bidirectional | | tf.keras.layers.Bidirectional |
| tf.keras.layers.Concatenate | | tf.keras.layers.Concatenate |
| tf.keras.layers.Conv1D | | tf.keras.layers.Conv1D |
| tf.keras.layers.Conv2D | | tf.keras.layers.Conv2D |
| tf.keras.layers.Conv2DTranspose | | tf.keras.layers.Conv2DTranspose |
| tf.keras.layers.Conv3D | | tf.keras.layers.Conv3D |
| tf.keras.layers.Conv3DTranspose | | tf.keras.layers.Conv3DTranspose |
| tf.keras.layers.ConvLSTM2D | | tf.keras.layers.ConvLSTM2D |
| tf.keras.layers.Convolution1D | | tf.keras.layers.Convolution1D |
| tf.keras.layers.Convolution2D | | tf.keras.layers.Convolution2D |
| tf.keras.layers.Convolution2DTranspose | | tf.keras.layers.Convolution2DTranspose |
| tf.keras.layers.Convolution3D | | tf.keras.layers.Convolution3D |
| tf.keras.layers.Convolution3DTranspose | | tf.keras.layers.Convolution3DTranspose |
| tf.keras.layers.Cropping1D | | tf.keras.layers.Cropping1D |
| tf.keras.layers.Cropping2D | | tf.keras.layers.Cropping2D |
| tf.keras.layers.Cropping3D | | tf.keras.layers.Cropping3D |
| tf.keras.layers.CuDNNGRU | tf.compat.v1.keras.layers.CuDNNGRU | tf.keras.layers.CuDNNGRU |
| tf.keras.layers.CuDNNLSTM | tf.compat.v1.keras.layers.CuDNNLSTM | |
| tf.keras.layers.Dense | | tf.keras.layers.Dense |
| tf.keras.layers.DepthwiseConv2D | | tf.keras.layers.DepthwiseConv2D |
| tf.keras.layers.Dot | | tf.keras.layers.Dot |
| tf.keras.layers.Dropout | | tf.keras.layers.Dropout |
| tf.keras.layers.ELU | | tf.keras.layers.ELU |
| tf.keras.layers.Embedding | | tf.keras.layers.Embedding |
| tf.keras.layers.Flatten | | tf.keras.layers.Flatten |
| tf.keras.layers.GRU | | tf.keras.layers.GRU |
| tf.keras.layers.GRUCell | | tf.keras.layers.GRUCell |
| tf.keras.layers.GaussianDropout | | tf.keras.layers.GaussianDropout |
| tf.keras.layers.GaussianNoise | | tf.keras.layers.GaussianNoise |
| tf.keras.layers.GlobalAveragePooling1D | | tf.keras.layers.GlobalAveragePooling1D |
| tf.keras.layers.GlobalAveragePooling2D | | tf.keras.layers.GlobalAveragePooling2D |
| tf.keras.layers.GlobalAveragePooling3D | | tf.keras.layers.GlobalAveragePooling3D |
| tf.keras.layers.GlobalAvgPool1D | | tf.keras.layers.GlobalAvgPool1D |
| tf.keras.layers.GlobalAvgPool2D | | tf.keras.layers.GlobalAvgPool2D |
| tf.keras.layers.GlobalAvgPool3D | | tf.keras.layers.GlobalAvgPool3D |
| tf.keras.layers.GlobalMaxPool1D | | tf.keras.layers.GlobalMaxPool1D |
| tf.keras.layers.GlobalMaxPool2D | | tf.keras.layers.GlobalMaxPool2D |
| tf.keras.layers.GlobalMaxPool3D | | tf.keras.layers.GlobalMaxPool3D |
| tf.keras.layers.GlobalMaxPooling1D | | tf.keras.layers.GlobalMaxPooling1D |
| tf.keras.layers.GlobalMaxPooling2D | | tf.keras.layers.GlobalMaxPooling2D |
| tf.keras.layers.GlobalMaxPooling3D | | tf.keras.layers.GlobalMaxPooling3D |
| tf.keras.layers.Input | | tf.keras.layers.Input |
| tf.keras.layers.InputLayer | | tf.keras.layers.InputLayer |
| tf.keras.layers.InputSpec | | tf.keras.layers.InputSpec |
| tf.keras.layers.LSTM | | tf.keras.layers.LSTM |
| tf.keras.layers.LSTMCell | | tf.keras.layers.LSTMCell |
| tf.keras.layers.Lambda | | tf.keras.layers.Lambda |
| tf.keras.layers.Layer | | tf.keras.layers.Layer |
| tf.keras.layers.LeakyReLU | | tf.keras.layers.LeakyReLU |
| tf.keras.layers.LocallyConnected1D | | tf.keras.layers.LocallyConnected1D |
| tf.keras.layers.LocallyConnected2D | | tf.keras.layers.LocallyConnected2D |
| tf.keras.layers.Masking | | tf.keras.layers.Masking |
| tf.keras.layers.MaxPool1D | | tf.keras.layers.MaxPool1D |
| tf.keras.layers.MaxPool2D | | tf.keras.layers.MaxPool2D |
| tf.keras.layers.MaxPool3D | | tf.keras.layers.MaxPool3D |
| tf.keras.layers.MaxPooling1D | | tf.keras.layers.MaxPooling1D |
| tf.keras.layers.MaxPooling2D | | tf.keras.layers.MaxPooling2D |
| tf.keras.layers.MaxPooling3D | | tf.keras.layers.MaxPooling3D |
| tf.keras.layers.Maximum | | tf.keras.layers.Maximum |
| tf.keras.layers.Minimum | | tf.keras.layers.Minimum |
| tf.keras.layers.Multiply | | tf.keras.layers.Multiply |
| tf.keras.layers.PReLU | | tf.keras.layers.PReLU |
| tf.keras.layers.Permute | | tf.keras.layers.Permute |
| tf.keras.layers.RNN | | tf.keras.layers.RNN |
| tf.keras.layers.ReLU | | tf.keras.layers.ReLU |
| tf.keras.layers.RepeatVector | | tf.keras.layers.RepeatVector |
| tf.keras.layers.Reshape | | tf.keras.layers.Reshape |
| tf.keras.layers.SeparableConv1D | | tf.keras.layers.SeparableConv1D |
| tf.keras.layers.SeparableConv2D | | tf.keras.layers.SeparableConv2D |
| tf.keras.layers.SeparableConvolution1D | | tf.keras.layers.SeparableConvolution1D |
| tf.keras.layers.SeparableConvolution2D | | tf.keras.layers.SeparableConvolution2D |
| tf.keras.layers.SimpleRNN | | tf.keras.layers.SimpleRNN |
| tf.keras.layers.SimpleRNNCell | | tf.keras.layers.SimpleRNNCell |
| tf.keras.layers.Softmax | | tf.keras.layers.Softmax |
| tf.keras.layers.SpatialDropout1D | | tf.keras.layers.SpatialDropout1D |
| tf.keras.layers.SpatialDropout2D | | tf.keras.layers.SpatialDropout2D |
| tf.keras.layers.SpatialDropout3D | | tf.keras.layers.SpatialDropout3D |
| tf.keras.layers.StackedRNNCells | | tf.keras.layers.StackedRNNCells |
| tf.keras.layers.Subtract | | tf.keras.layers.Subtract |
| tf.keras.layers.ThresholdedReLU | | tf.keras.layers.ThresholdedReLU |
| tf.keras.layers.TimeDistributed | | tf.keras.layers.TimeDistributed |
| tf.keras.layers.UpSampling1D | | tf.keras.layers.UpSampling1D |
| tf.keras.layers.UpSampling2D | | tf.keras.layers.UpSampling2D |
| tf.keras.layers.UpSampling3D | | tf.keras.layers.UpSampling3D |
| tf.keras.layers.Wrapper | | tf.keras.layers.Wrapper |
| tf.keras.layers.ZeroPadding1D | | tf.keras.layers.ZeroPadding1D |
| tf.keras.layers.ZeroPadding2D | | tf.keras.layers.ZeroPadding2D |
| tf.keras.layers.ZeroPadding3D | | tf.keras.layers.ZeroPadding3D |
| tf.keras.layers.add | | tf.keras.layers.Add |
| tf.keras.layers.average | | tf.keras.layers.Average |
| tf.keras.layers.concatenate | | tf.keras.layers.Concatenate |
| tf.keras.layers.dot | | tf.keras.layers.Dot |
| tf.keras.layers.maximum | | tf.keras.layers.Maximum |
| tf.keras.layers.minimum | | tf.keras.layers.Minimum |
| tf.keras.layers.multiply | | tf.keras.layers.Multiply |
| tf.keras.layers.subtract | | tf.keras.layers.Subtract |
| tf.keras.losses | | tf.keras.losses |
| tf.keras.losses.KLD | | tf.keras.losses.KLD |
| tf.keras.losses.MAE | | tf.keras.losses.MAE |
| tf.keras.losses.MAPE | | tf.keras.losses.MAPE |
| tf.keras.losses.MSE | | tf.keras.losses.MSE |
| tf.keras.losses.MSLE | | tf.keras.losses.MSLE |
| tf.keras.losses.binary_crossentropy | | tf.keras.losses.binary_crossentropy |
| tf.keras.losses.categorical_crossentropy | | tf.keras.losses.categorical_crossentropy |
| tf.keras.losses.categorical_hinge | | tf.keras.losses.categorical_hinge |
| tf.keras.losses.cosine | tf.keras.losses.cosine_similarity | tf.keras.losses.cosine |
| tf.keras.losses.cosine_proximity | tf.keras.losses.cosine_similarity | tf.keras.losses.cosine_proximity |
| tf.keras.losses.deserialize | | tf.keras.losses.deserialize |
| tf.keras.losses.get | | tf.keras.losses.get |
| tf.keras.losses.hinge | | tf.keras.losses.hinge |
| tf.keras.losses.kld | | tf.keras.losses.KLD |
| tf.keras.losses.kullback_leibler_divergence | | tf.keras.losses.kullback_leibler_divergence |
| tf.keras.losses.logcosh | | tf.keras.losses.logcosh |
| tf.keras.losses.mae | | tf.keras.losses.MAE |
| tf.keras.losses.mape | | tf.keras.losses.MAPE |
| tf.keras.losses.mean_absolute_error | | tf.keras.losses.mean_absolute_error |
| tf.keras.losses.mean_absolute_percentage_error | | tf.keras.losses.mean_absolute_percentage_error |
| tf.keras.losses.mean_squared_error | | tf.keras.losses.mean_squared_error |
| tf.keras.losses.mean_squared_logarithmic_error | | tf.keras.losses.mean_squared_logarithmic_error |
| tf.keras.losses.mse | | tf.keras.losses.MSE |
| tf.keras.losses.msle | | tf.keras.losses.MSLE |
| tf.keras.losses.poisson | | tf.keras.losses.poisson |
| tf.keras.losses.serialize | | tf.keras.losses.serialize |
| tf.keras.losses.sparse_categorical_crossentropy | | tf.keras.losses.sparse_categorical_crossentropy |
| tf.keras.losses.squared_hinge | | tf.keras.losses.squared_hinge |
| tf.keras.metrics | | tf.keras.metrics |
| tf.keras.metrics.KLD | | tf.keras.metrics.KLD |
| tf.keras.metrics.MAE | | tf.keras.metrics.MAE |
| tf.keras.metrics.MAPE | | tf.keras.metrics.MAPE |
| tf.keras.metrics.MSE | | tf.keras.metrics.MSE |
| tf.keras.metrics.MSLE | | tf.keras.metrics.MSLE |
| tf.keras.metrics.binary_accuracy | | tf.keras.metrics.binary_accuracy |
| tf.keras.metrics.binary_crossentropy | | tf.keras.metrics.binary_crossentropy |
| tf.keras.metrics.categorical_accuracy | | tf.keras.metrics.categorical_accuracy |
| tf.keras.metrics.categorical_crossentropy | | tf.keras.metrics.categorical_crossentropy |
| tf.keras.metrics.cosine | tf.keras.losses.cosine_similarity | tf.keras.metrics.cosine |
| tf.keras.metrics.cosine_proximity | tf.keras.losses.cosine_similarity | tf.keras.metrics.cosine_proximity |
| tf.keras.metrics.deserialize | | tf.keras.metrics.deserialize |
| tf.keras.metrics.get | | tf.keras.metrics.get |
| tf.keras.metrics.hinge | | tf.keras.metrics.hinge |
| tf.keras.metrics.kld | | tf.keras.metrics.KLD |
| tf.keras.metrics.kullback_leibler_divergence | | tf.keras.metrics.kullback_leibler_divergence |
| tf.keras.metrics.mae | | tf.keras.metrics.MAE |
| tf.keras.metrics.mape | | tf.keras.metrics.MAPE |
| tf.keras.metrics.mean_absolute_error | | tf.keras.metrics.mean_absolute_error |
| tf.keras.metrics.mean_absolute_percentage_error | | tf.keras.metrics.mean_absolute_percentage_error |
| tf.keras.metrics.mean_squared_error | | tf.keras.metrics.mean_squared_error |
| tf.keras.metrics.mean_squared_logarithmic_error | | tf.keras.metrics.mean_squared_logarithmic_error |
| tf.keras.metrics.mse | | tf.keras.metrics.MSE |
| tf.keras.metrics.msle | | tf.keras.metrics.MSLE |
| tf.keras.metrics.poisson | | tf.keras.metrics.poisson |
| tf.keras.metrics.serialize | | tf.keras.metrics.serialize |
| tf.keras.metrics.sparse_categorical_accuracy | | tf.keras.metrics.sparse_categorical_accuracy |
| tf.keras.metrics.sparse_categorical_crossentropy | | tf.keras.metrics.sparse_categorical_crossentropy |
| tf.keras.metrics.sparse_top_k_categorical_accuracy | | tf.keras.metrics.sparse_top_k_categorical_accuracy |
| tf.keras.metrics.squared_hinge | | tf.keras.metrics.squared_hinge |
| tf.keras.metrics.top_k_categorical_accuracy | | tf.keras.metrics.top_k_categorical_accuracy |
| tf.keras.models | | tf.keras.models |
| tf.keras.models.Model | | tf.keras.models.Model |
| tf.keras.models.Sequential | | tf.keras.models.Sequential |
| tf.keras.models.clone_model | | tf.keras.models.clone_model |
| tf.keras.models.load_model | | tf.keras.models.load_model |
| tf.keras.models.model_from_config | | tf.keras.models.model_from_config |
| tf.keras.models.model_from_json | | tf.keras.models.model_from_json |
| tf.keras.models.model_from_yaml | | tf.keras.models.model_from_yaml |
| tf.keras.models.save_model | | tf.keras.models.save_model |
| tf.keras.optimizers | | tf.keras.optimizers |
| tf.keras.optimizers.Adadelta | | tf.keras.optimizers.Adadelta |
| tf.keras.optimizers.Adagrad | | tf.keras.optimizers.Adagrad |
| tf.keras.optimizers.Adam | | tf.keras.optimizers.Adam |
| tf.keras.optimizers.Adamax | | tf.keras.optimizers.Adamax |
| tf.keras.optimizers.Nadam | | tf.keras.optimizers.Nadam |
| tf.keras.optimizers.Optimizer | | tf.keras.optimizers.Optimizer |
| tf.keras.optimizers.RMSprop | | tf.keras.optimizers.RMSprop |
| tf.keras.optimizers.SGD | | tf.keras.optimizers.SGD |
| tf.keras.optimizers.deserialize | | tf.keras.optimizers.deserialize |
| tf.keras.optimizers.get | | tf.keras.optimizers.get |
| tf.keras.optimizers.serialize | | tf.keras.optimizers.serialize |
| tf.keras.preprocessing | | tf.keras.preprocessing |
| tf.keras.regularizers | | tf.keras.regularizers |
| tf.keras.regularizers.L1L2 | | tf.keras.regularizers.L1L2 |
| tf.keras.regularizers.Regularizer | | tf.keras.regularizers.Regularizer |
| tf.keras.regularizers.deserialize | | tf.keras.regularizers.deserialize |
| tf.keras.regularizers.get | | tf.keras.regularizers.get |
| tf.keras.regularizers.l1 | | tf.keras.regularizers.l1 |
| tf.keras.regularizers.l1_l2 | | tf.keras.regularizers.l1_l2 |
| tf.keras.regularizers.l2 | | tf.keras.regularizers.l2 |
| tf.keras.regularizers.serialize | | tf.keras.regularizers.serialize |
| tf.keras.utils | | tf.keras.utils |
| tf.keras.utils.CustomObjectScope | | tf.keras.utils.CustomObjectScope |
| tf.keras.utils.GeneratorEnqueuer | | tf.keras.utils.GeneratorEnqueuer |
| tf.keras.utils.HDF5Matrix | | tf.keras.utils.HDF5Matrix |
| tf.keras.utils.OrderedEnqueuer | | tf.keras.utils.OrderedEnqueuer |
| tf.keras.utils.Progbar | | tf.keras.utils.Progbar |
| tf.keras.utils.Sequence | | tf.keras.utils.Sequence |
| tf.keras.utils.SequenceEnqueuer | | tf.keras.utils.SequenceEnqueuer |
| tf.keras.utils.convert_all_kernels_in_model | | tf.keras.utils.convert_all_kernels_in_model |
| tf.keras.utils.custom_object_scope | | tf.keras.utils.custom_object_scope |
| tf.keras.utils.deserialize_keras_object | | tf.keras.utils.deserialize_keras_object |
| tf.keras.utils.get_custom_objects | | tf.keras.utils.get_custom_objects |
| tf.keras.utils.get_file | | tf.keras.utils.get_file |
| tf.keras.utils.get_source_inputs | | tf.keras.utils.get_source_inputs |
| tf.keras.utils.multi_gpu_model | | tf.keras.utils.multi_gpu_model |
| tf.keras.utils.normalize | | tf.keras.utils.normalize |
| tf.keras.utils.plot_model | | tf.keras.utils.plot_model |
| tf.keras.utils.serialize_keras_object | | tf.keras.utils.serialize_keras_object |
| tf.keras.utils.to_categorical | | tf.keras.utils.to_categorical |
| tf.keras.wrappers | | tf.keras.wrappers |
| tf.keras.wrappers.scikit_learn | | tf.keras.wrappers.scikit_learn |
| tf.keras.wrappers.scikit_learn.KerasClassifier | | tf.keras.wrappers.scikit_learn.KerasClassifier |
| tf.keras.wrappers.scikit_learn.KerasRegressor | | tf.keras.wrappers.scikit_learn.KerasRegressor |
| tf.layers | | |
| tf.layers.AveragePooling1D | tf.compat.v1.layers.AveragePooling1D | |
| tf.layers.AveragePooling2D | tf.compat.v1.layers.AveragePooling2D | |
| tf.layers.AveragePooling3D | tf.compat.v1.layers.AveragePooling3D | |
| tf.layers.BatchNormalization | tf.compat.v1.layers.BatchNormalization | |
| tf.layers.Conv1D | tf.compat.v1.layers.Conv1D | |
| tf.layers.Conv2D | tf.compat.v1.layers.Conv2D | |
| tf.layers.Conv2DTranspose | tf.compat.v1.layers.Conv2DTranspose | |
| tf.layers.Conv3D | tf.compat.v1.layers.Conv3D | |
| tf.layers.Conv3DTranspose | tf.compat.v1.layers.Conv3DTranspose | |
| tf.layers.Dense | tf.compat.v1.layers.Dense | |
| tf.layers.Dropout | tf.compat.v1.layers.Dropout | |
| tf.layers.Flatten | tf.compat.v1.layers.Flatten | |
| tf.layers.InputSpec | tf.keras.layers.InputSpec | |
| tf.layers.Layer | tf.compat.v1.layers.Layer | |
| tf.layers.MaxPooling1D | tf.compat.v1.layers.MaxPooling1D | |
| tf.layers.MaxPooling2D | tf.compat.v1.layers.MaxPooling2D | |
| tf.layers.MaxPooling3D | tf.compat.v1.layers.MaxPooling3D | |
| tf.layers.SeparableConv1D | tf.compat.v1.layers.SeparableConv1D | |
| tf.layers.SeparableConv2D | tf.compat.v1.layers.SeparableConv2D | |
| tf.layers.average_pooling1d | tf.compat.v1.layers.average_pooling1d | |
| tf.layers.average_pooling2d | tf.compat.v1.layers.average_pooling2d | |
| tf.layers.average_pooling3d | tf.compat.v1.layers.average_pooling3d | |
| tf.layers.batch_normalization | tf.compat.v1.layers.batch_normalization | |
| tf.layers.conv1d | tf.compat.v1.layers.conv1d | |
| tf.layers.conv2d | tf.compat.v1.layers.conv2d | |
| tf.layers.conv2d_transpose | tf.compat.v1.layers.conv2d_transpose | |
| tf.layers.conv3d | tf.compat.v1.layers.conv3d | |
| tf.layers.conv3d_transpose | tf.compat.v1.layers.conv3d_transpose | |
| tf.layers.dense | tf.compat.v1.layers.dense | |
| tf.layers.dropout | tf.compat.v1.layers.dropout | |
| tf.layers.flatten | tf.compat.v1.layers.flatten | |
| tf.layers.max_pooling1d | tf.compat.v1.layers.max_pooling1d | |
| tf.layers.max_pooling2d | tf.compat.v1.layers.max_pooling2d | |
| tf.layers.max_pooling3d | tf.compat.v1.layers.max_pooling3d | |
| tf.layers.separable_conv1d | tf.compat.v1.layers.separable_conv1d | |
| tf.layers.separable_conv2d | tf.compat.v1.layers.separable_conv2d | |
| tf.lbeta | tf.math.lbeta | |
| tf.less | | tf.less |
| tf.less_equal | | tf.less_equal |
| tf.lgamma | tf.math.lgamma | |
| tf.lin_space | tf.linspace | |
| tf.linalg | | tf.linalg |
| tf.linalg.LinearOperator | | tf.linalg.LinearOperator |
| tf.linalg.LinearOperatorBlockDiag | | tf.linalg.LinearOperatorBlockDiag |
| tf.linalg.LinearOperatorCirculant | | tf.linalg.LinearOperatorCirculant |
| tf.linalg.LinearOperatorCirculant2D | | tf.linalg.LinearOperatorCirculant2D |
| tf.linalg.LinearOperatorCirculant3D | | tf.linalg.LinearOperatorCirculant3D |
| tf.linalg.LinearOperatorComposition | | tf.linalg.LinearOperatorComposition |
| tf.linalg.LinearOperatorDiag | | tf.linalg.LinearOperatorDiag |
| tf.linalg.LinearOperatorFullMatrix | | tf.linalg.LinearOperatorFullMatrix |
| tf.linalg.LinearOperatorIdentity | | tf.linalg.LinearOperatorIdentity |
| tf.linalg.LinearOperatorKronecker | | tf.linalg.LinearOperatorKronecker |
| tf.linalg.LinearOperatorLowRankUpdate | | tf.linalg.LinearOperatorLowRankUpdate |
| tf.linalg.LinearOperatorLowerTriangular | | tf.linalg.LinearOperatorLowerTriangular |
| tf.linalg.LinearOperatorScaledIdentity | | tf.linalg.LinearOperatorScaledIdentity |
| tf.linalg.LinearOperatorZeros | | tf.linalg.LinearOperatorZeros |
| tf.linalg.adjoint | | tf.linalg.adjoint |
| tf.linalg.band_part | | tf.linalg.band_part |
| tf.linalg.cholesky | | tf.linalg.cholesky |
| tf.linalg.cholesky_solve | | tf.linalg.cholesky_solve |
| tf.linalg.cross | | tf.linalg.cross |
| tf.linalg.det | | tf.linalg.det |
| tf.linalg.diag | | tf.linalg.diag |
| tf.linalg.diag_part | | tf.linalg.diag_part |
| tf.linalg.eigh | | tf.linalg.eigh |
| tf.linalg.eigvalsh | | tf.linalg.eigvalsh |
| tf.linalg.einsum | | tf.linalg.einsum |
| tf.linalg.expm | | tf.linalg.expm |
| tf.linalg.eye | | tf.linalg.eye |
| tf.linalg.global_norm | | tf.linalg.global_norm |
| tf.linalg.inv | | tf.linalg.inv |
| tf.linalg.l2_normalize | | tf.linalg.l2_normalize |
| tf.linalg.logdet | | tf.linalg.logdet |
| tf.linalg.logm | | tf.linalg.logm |
| tf.linalg.lstsq | | tf.linalg.lstsq |
| tf.linalg.matmul | | tf.linalg.matmul |
| tf.linalg.norm | | tf.linalg.norm |
| tf.linalg.qr | | tf.linalg.qr |
| tf.linalg.set_diag | | tf.linalg.set_diag |
| tf.linalg.slogdet | | tf.linalg.slogdet |
| tf.linalg.solve | | tf.linalg.solve |
| tf.linalg.svd | | tf.linalg.svd |
| tf.linalg.tensor_diag | | tf.linalg.tensor_diag |
| tf.linalg.tensor_diag_part | | tf.linalg.tensor_diag_part |
| tf.linalg.tensordot | | tf.linalg.tensordot |
| tf.linalg.trace | | tf.linalg.trace |
| tf.linalg.transpose | | tf.linalg.transpose |
| tf.linalg.triangular_solve | | tf.linalg.triangular_solve |
| tf.linspace | | tf.linspace |
| tf.load_file_system_library | tf.load_library | |
| tf.load_library | | tf.load_library |
| tf.load_op_library | | tf.load_op_library |
| tf.local_variables | tf.compat.v1.local_variables | |
| tf.local_variables_initializer | tf.compat.v1.local_variables_initializer | |
| tf.log | tf.math.log | |
| tf.log1p | tf.math.log1p | |
| tf.log_sigmoid | tf.math.log_sigmoid | |
| tf.logging | | |
| tf.logging.TaskLevelStatusMessage | tf.compat.v1.logging.TaskLevelStatusMessage | |
| tf.logging.debug | tf.compat.v1.logging.debug | |
| tf.logging.error | tf.compat.v1.logging.error | |
| tf.logging.fatal | tf.compat.v1.logging.fatal | |
| tf.logging.flush | tf.compat.v1.logging.flush | |
| tf.logging.get_verbosity | tf.compat.v1.logging.get_verbosity | |
| tf.logging.info | tf.compat.v1.logging.info | |
| tf.logging.log | tf.compat.v1.logging.log | |
| tf.logging.log_every_n | tf.compat.v1.logging.log_every_n | |
| tf.logging.log_first_n | tf.compat.v1.logging.log_first_n | |
| tf.logging.log_if | tf.compat.v1.logging.log_if | |
| tf.logging.set_verbosity | tf.compat.v1.logging.set_verbosity | |
| tf.logging.vlog | tf.compat.v1.logging.vlog | |
| tf.logging.warn | tf.compat.v1.logging.warn | |
| tf.logging.warning | tf.compat.v1.logging.warning | |
| tf.logical_and | | tf.logical_and |
| tf.logical_not | | tf.logical_not |
| tf.logical_or | | tf.logical_or |
| tf.logical_xor | tf.math.logical_xor | |
| tf.losses | | tf.losses |
| tf.losses.Reduction | | tf.losses.Reduction |
| tf.losses.absolute_difference | tf.compat.v1.losses.absolute_difference | |
| tf.losses.add_loss | tf.compat.v1.losses.add_loss | |
| tf.losses.compute_weighted_loss | tf.compat.v1.losses.compute_weighted_loss | |
| tf.losses.cosine_distance | tf.compat.v1.losses.cosine_distance | |
| tf.losses.get_losses | tf.compat.v1.losses.get_losses | |
| tf.losses.get_regularization_loss | tf.compat.v1.losses.get_regularization_loss | |
| tf.losses.get_regularization_losses | tf.compat.v1.losses.get_regularization_losses | |
| tf.losses.get_total_loss | tf.compat.v1.losses.get_total_loss | |
| tf.losses.hinge_loss | tf.compat.v1.losses.hinge_loss | |
| tf.losses.huber_loss | tf.compat.v1.losses.huber_loss | |
| tf.losses.log_loss | tf.compat.v1.losses.log_loss | |
| tf.losses.mean_pairwise_squared_error | tf.compat.v1.losses.mean_pairwise_squared_error | |
| tf.losses.mean_squared_error | tf.compat.v1.losses.mean_squared_error | |
| tf.losses.sigmoid_cross_entropy | tf.compat.v1.losses.sigmoid_cross_entropy | |
| tf.losses.softmax_cross_entropy | tf.compat.v1.losses.softmax_cross_entropy | |
| tf.losses.sparse_softmax_cross_entropy | tf.compat.v1.losses.sparse_softmax_cross_entropy | |
| tf.make_ndarray | | tf.make_ndarray |
| tf.make_template | tf.compat.v1.make_template | |
| tf.make_tensor_proto | tf.compat.v1.make_tensor_proto | |
| tf.manip | | |
| tf.manip.batch_to_space_nd | tf.batch_to_space | |
| tf.manip.gather_nd | tf.gather_nd | |
| tf.manip.reshape | tf.reshape | |
| tf.manip.reverse | tf.reverse | |
| tf.manip.roll | tf.roll | |
| tf.manip.scatter_nd | tf.scatter_nd | |
| tf.manip.space_to_batch_nd | tf.space_to_batch_nd | |
| tf.manip.tile | tf.tile | |
| tf.map_fn | | tf.map_fn |
| tf.matching_files | tf.io.matching_files | |
| tf.math | | tf.math |
| tf.math.abs | | tf.math.abs |
| tf.math.accumulate_n | | tf.math.accumulate_n |
| tf.math.acos | | tf.math.acos |
| tf.math.acosh | | tf.math.acosh |
| tf.math.add | | tf.math.add |
| tf.math.add_n | | tf.math.add_n |
| tf.math.angle | | tf.math.angle |
| tf.math.argmax | | tf.math.argmax |
| tf.math.argmin | | tf.math.argmin |
| tf.math.asin | | tf.math.asin |
| tf.math.asinh | | tf.math.asinh |
| tf.math.atan | | tf.math.atan |
| tf.math.atan2 | | tf.math.atan2 |
| tf.math.atanh | | tf.math.atanh |
| tf.math.bessel_i0 | | tf.math.bessel_i0 |
| tf.math.bessel_i0e | | tf.math.bessel_i0e |
| tf.math.bessel_i1 | | tf.math.bessel_i1 |
| tf.math.bessel_i1e | | tf.math.bessel_i1e |
| tf.math.betainc | | tf.math.betainc |
| tf.math.bincount | | tf.math.bincount |
| tf.math.ceil | | tf.math.ceil |
| tf.math.conj | | tf.math.conj |
| tf.math.cos | | tf.math.cos |
| tf.math.cosh | | tf.math.cosh |
| tf.math.count_nonzero | | tf.math.count_nonzero |
| tf.math.cumprod | | tf.math.cumprod |
| tf.math.cumsum | | tf.math.cumsum |
| tf.math.digamma | | tf.math.digamma |
| tf.math.divide | | tf.math.divide |
| tf.math.equal | | tf.math.equal |
| tf.math.erf | | tf.math.erf |
| tf.math.erfc | | tf.math.erfc |
| tf.math.exp | | tf.math.exp |
| tf.math.expm1 | | tf.math.expm1 |
| tf.math.floor | | tf.math.floor |
| tf.math.floordiv | | tf.math.floordiv |
| tf.math.greater | | tf.math.greater |
| tf.math.greater_equal | | tf.math.greater_equal |
| tf.math.igamma | | tf.math.igamma |
| tf.math.igammac | | tf.math.igammac |
| tf.math.imag | | tf.math.imag |
| tf.math.in_top_k | | tf.math.in_top_k |
| tf.math.invert_permutation | | tf.math.invert_permutation |
| tf.math.l2_normalize | | tf.math.l2_normalize |
| tf.math.lbeta | | tf.math.lbeta |
| tf.math.less | | tf.math.less |
| tf.math.less_equal | | tf.math.less_equal |
| tf.math.lgamma | | tf.math.lgamma |
| tf.math.log | | tf.math.log |
| tf.math.log1p | | tf.math.log1p |
| tf.math.log_sigmoid | | tf.math.log_sigmoid |
| tf.math.log_softmax | | tf.math.log_softmax |
| tf.math.logical_and | | tf.math.logical_and |
| tf.math.logical_not | | tf.math.logical_not |
| tf.math.logical_or | | tf.math.logical_or |
| tf.math.logical_xor | | tf.math.logical_xor |
| tf.math.maximum | | tf.math.maximum |
| tf.math.minimum | | tf.math.minimum |
| tf.math.multiply | | tf.math.multiply |
| tf.math.negative | | tf.math.negative |
| tf.math.not_equal | | tf.math.not_equal |
| tf.math.polygamma | | tf.math.polygamma |
| tf.math.polyval | | tf.math.polyval |
| tf.math.pow | | tf.math.pow |
| tf.math.real | | tf.math.real |
| tf.math.reciprocal | | tf.math.reciprocal |
| tf.math.reduce_all | | tf.math.reduce_all |
| tf.math.reduce_any | | tf.math.reduce_any |
| tf.math.reduce_logsumexp | | tf.math.reduce_logsumexp |
| tf.math.reduce_max | | tf.math.reduce_max |
| tf.math.reduce_mean | | tf.math.reduce_mean |
| tf.math.reduce_min | | tf.math.reduce_min |
| tf.math.reduce_prod | | tf.math.reduce_prod |
| tf.math.reduce_sum | | tf.math.reduce_sum |
| tf.math.rint | | tf.math.rint |
| tf.math.round | | tf.math.round |
| tf.math.rsqrt | | tf.math.rsqrt |
| tf.math.scalar_mul | | tf.math.scalar_mul |
| tf.math.segment_max | | tf.math.segment_max |
| tf.math.segment_mean | | tf.math.segment_mean |
| tf.math.segment_min | | tf.math.segment_min |
| tf.math.segment_prod | | tf.math.segment_prod |
| tf.math.segment_sum | | tf.math.segment_sum |
| tf.math.sigmoid | | tf.math.sigmoid |
| tf.math.sign | | tf.math.sign |
| tf.math.sin | | tf.math.sin |
| tf.math.sinh | | tf.math.sinh |
| tf.math.softmax | | tf.math.softmax |
| tf.math.softplus | | tf.math.softplus |
| tf.math.softsign | | tf.math.softsign |
| tf.math.sqrt | | tf.math.sqrt |
| tf.math.square | | tf.math.square |
| tf.math.squared_difference | | tf.math.squared_difference |
| tf.math.subtract | | tf.math.subtract |
| tf.math.tan | | tf.math.tan |
| tf.math.tanh | | tf.math.tanh |
| tf.math.top_k | | tf.math.top_k |
| tf.math.truediv | | tf.math.truediv |
| tf.math.unsorted_segment_max | | tf.math.unsorted_segment_max |
| tf.math.unsorted_segment_mean | | tf.math.unsorted_segment_mean |
| tf.math.unsorted_segment_min | | tf.math.unsorted_segment_min |
| tf.math.unsorted_segment_prod | | tf.math.unsorted_segment_prod |
| tf.math.unsorted_segment_sqrt_n | | tf.math.unsorted_segment_sqrt_n |
| tf.math.unsorted_segment_sum | | tf.math.unsorted_segment_sum |
| tf.math.xdivy | | tf.math.xdivy |
| tf.math.xlogy | | tf.math.xlogy |
| tf.math.zero_fraction | | tf.math.zero_fraction |
| tf.math.zeta | | tf.math.zeta |
| tf.matmul | | tf.matmul |
| tf.matrix_band_part | tf.linalg.band_part | |
| tf.matrix_determinant | tf.linalg.det | |
| tf.matrix_diag | tf.linalg.diag | |
| tf.matrix_diag_part | tf.linalg.diag_part | |
| tf.matrix_inverse | tf.linalg.inv | |
| tf.matrix_set_diag | tf.linalg.set_diag | |
| tf.matrix_solve | tf.linalg.solve | |
| tf.matrix_solve_ls | tf.linalg.lstsq | |
| tf.matrix_transpose | tf.linalg.transpose | |
| tf.matrix_triangular_solve | tf.linalg.triangular_solve | |
| tf.maximum | | tf.maximum |
| tf.meshgrid | | tf.meshgrid |
| tf.metrics | | tf.metrics |
| tf.metrics.accuracy | tf.compat.v1.metrics.accuracy | |
| tf.metrics.auc | tf.compat.v1.metrics.auc | |
| tf.metrics.average_precision_at_k | tf.compat.v1.metrics.average_precision_at_k | |
| tf.metrics.false_negatives | tf.compat.v1.metrics.false_negatives | |
| tf.metrics.false_negatives_at_thresholds | tf.compat.v1.metrics.false_negatives_at_thresholds | |
| tf.metrics.false_positives | tf.compat.v1.metrics.false_positives | |
| tf.metrics.false_positives_at_thresholds | tf.compat.v1.metrics.false_positives_at_thresholds | |
| tf.metrics.mean | tf.compat.v1.metrics.mean | |
| tf.metrics.mean_absolute_error | tf.compat.v1.metrics.mean_absolute_error | |
| tf.metrics.mean_cosine_distance | tf.compat.v1.metrics.mean_cosine_distance | |
| tf.metrics.mean_iou | tf.compat.v1.metrics.mean_iou | |
| tf.metrics.mean_per_class_accuracy | tf.compat.v1.metrics.mean_per_class_accuracy | |
| tf.metrics.mean_relative_error | tf.compat.v1.metrics.mean_relative_error | |
| tf.metrics.mean_squared_error | tf.compat.v1.metrics.mean_squared_error | |
| tf.metrics.mean_tensor | tf.compat.v1.metrics.mean_tensor | |
| tf.metrics.percentage_below | tf.compat.v1.metrics.percentage_below | |
| tf.metrics.precision | tf.compat.v1.metrics.precision | |
| tf.metrics.precision_at_k | tf.compat.v1.metrics.precision_at_k | |
| tf.metrics.precision_at_thresholds | tf.compat.v1.metrics.precision_at_thresholds | |
| tf.metrics.precision_at_top_k | tf.compat.v1.metrics.precision_at_top_k | |
| tf.metrics.recall | tf.compat.v1.metrics.recall | |
| tf.metrics.recall_at_k | tf.compat.v1.metrics.recall_at_k | |
| tf.metrics.recall_at_thresholds | tf.compat.v1.metrics.recall_at_thresholds | |
| tf.metrics.recall_at_top_k | tf.compat.v1.metrics.recall_at_top_k | |
| tf.metrics.root_mean_squared_error | tf.compat.v1.metrics.root_mean_squared_error | |
| tf.metrics.sensitivity_at_specificity | tf.compat.v1.metrics.sensitivity_at_specificity | |
| tf.metrics.sparse_average_precision_at_k | tf.compat.v1.metrics.sparse_average_precision_at_k | |
| tf.metrics.sparse_precision_at_k | tf.compat.v1.metrics.sparse_precision_at_k | |
| tf.metrics.specificity_at_sensitivity | tf.compat.v1.metrics.specificity_at_sensitivity | |
| tf.metrics.true_negatives | tf.compat.v1.metrics.true_negatives | |
| tf.metrics.true_negatives_at_thresholds | tf.compat.v1.metrics.true_negatives_at_thresholds | |
| tf.metrics.true_positives | tf.compat.v1.metrics.true_positives | |
| tf.metrics.true_positives_at_thresholds | tf.compat.v1.metrics.true_positives_at_thresholds | |
| tf.min_max_variable_partitioner | tf.compat.v1.min_max_variable_partitioner | |
| tf.minimum | | tf.minimum |
| tf.mod | | tf.mod |
| tf.model_variables | tf.compat.v1.model_variables | |
| tf.moving_average_variables | tf.compat.v1.moving_average_variables | |
| tf.multinomial | tf.random.categorical | |
| tf.multiply | | tf.multiply |
| tf.name_scope | | tf.name_scope |
| tf.negative | | tf.negative |
| tf.nn | | tf.nn |
| tf.nn.all_candidate_sampler | | tf.nn.all_candidate_sampler |
| tf.nn.atrous_conv2d | | tf.nn.atrous_conv2d |
| tf.nn.atrous_conv2d_transpose | | tf.nn.atrous_conv2d_transpose |
| tf.nn.avg_pool | | tf.nn.avg_pool |
| tf.nn.avg_pool3d | | tf.nn.avg_pool3d |
| tf.nn.batch_norm_with_global_normalization | | tf.nn.batch_norm_with_global_normalization |
| tf.nn.batch_normalization | | tf.nn.batch_normalization |
| tf.nn.bias_add | | tf.nn.bias_add |
| tf.nn.bidirectional_dynamic_rnn | tf.compat.v1.nn.bidirectional_dynamic_rnn | |
| tf.nn.compute_accidental_hits | | tf.nn.compute_accidental_hits |
| tf.nn.conv1d | | tf.nn.conv1d |
| tf.nn.conv2d | | tf.nn.conv2d |
| tf.nn.conv2d_backprop_filter | tf.compat.v1.nn.conv2d_backprop_filter | |
| tf.nn.conv2d_backprop_input | | |
| tf.nn.conv2d_transpose | | tf.nn.conv2d_transpose |
| tf.nn.conv3d | | tf.nn.conv3d |
| tf.nn.conv3d_backprop_filter_v2 | tf.compat.v1.nn.conv3d_backprop_filter_v2 | |
| tf.nn.conv3d_transpose | | tf.nn.conv3d_transpose |
| tf.nn.convolution | | tf.nn.convolution |
| tf.nn.crelu | | tf.nn.crelu |
| tf.nn.ctc_beam_search_decoder | | tf.nn.ctc_beam_search_decoder |
| tf.nn.ctc_greedy_decoder | | tf.nn.ctc_greedy_decoder |
| tf.nn.ctc_loss | tf.compat.v1.nn.ctc_loss | tf.nn.ctc_loss |
| tf.nn.depth_to_space | | tf.nn.depth_to_space |
| tf.nn.depthwise_conv2d | | tf.nn.depthwise_conv2d |
| tf.nn.depthwise_conv2d_native | tf.compat.v1.nn.depthwise_conv2d_native | |
| tf.nn.depthwise_conv2d_native_backprop_filter | tf.nn.depthwise_conv2d_backprop_filter | |
| tf.nn.depthwise_conv2d_native_backprop_input | tf.nn.depthwise_conv2d_backprop_input | |
| tf.nn.dilation2d | | tf.nn.dilation2d |
| tf.nn.dropout | | tf.nn.dropout |
| tf.nn.dynamic_rnn | tf.compat.v1.nn.dynamic_rnn | |
| tf.nn.elu | | tf.nn.elu |
| tf.nn.embedding_lookup | | tf.nn.embedding_lookup |
| tf.nn.embedding_lookup_sparse | | tf.nn.embedding_lookup_sparse |
| tf.nn.erosion2d | | tf.nn.erosion2d |
| tf.nn.fixed_unigram_candidate_sampler | | tf.nn.fixed_unigram_candidate_sampler |
| tf.nn.fractional_avg_pool | | tf.nn.fractional_avg_pool |
| tf.nn.fractional_max_pool | | tf.nn.fractional_max_pool |
| tf.nn.fused_batch_norm | tf.compat.v1.nn.fused_batch_norm | |
| tf.nn.in_top_k | | tf.nn.in_top_k |
| tf.nn.l2_loss | | tf.nn.l2_loss |
| tf.nn.l2_normalize | | tf.nn.l2_normalize |
| tf.nn.leaky_relu | | tf.nn.leaky_relu |
| tf.nn.learned_unigram_candidate_sampler | | tf.nn.learned_unigram_candidate_sampler |
| tf.nn.local_response_normalization | | tf.nn.local_response_normalization |
| tf.nn.log_poisson_loss | | tf.nn.log_poisson_loss |
| tf.nn.log_softmax | | tf.nn.log_softmax |
| tf.nn.log_uniform_candidate_sampler | tf.random.log_uniform_candidate_sampler | |
| tf.nn.lrn | | tf.nn.lrn |
| tf.nn.max_pool | | tf.nn.max_pool |
| tf.nn.max_pool3d | | tf.nn.max_pool3d |
| tf.nn.max_pool_with_argmax | | tf.nn.max_pool_with_argmax |
| tf.nn.moments | | tf.nn.moments |
| tf.nn.nce_loss | | tf.nn.nce_loss |
| tf.nn.normalize_moments | | tf.nn.normalize_moments |
| tf.nn.pool | | tf.nn.pool |
| tf.nn.quantized_avg_pool | tf.compat.v1.nn.quantized_avg_pool | |
| tf.nn.quantized_conv2d | tf.compat.v1.nn.quantized_conv2d | |
| tf.nn.quantized_max_pool | tf.compat.v1.nn.quantized_max_pool | |
| tf.nn.quantized_relu_x | tf.compat.v1.nn.quantized_relu_x | |
| tf.nn.raw_rnn | tf.compat.v1.nn.raw_rnn | |
| tf.nn.relu | | tf.nn.relu |
| tf.nn.relu6 | | tf.nn.relu6 |
| tf.nn.relu_layer | tf.compat.v1.nn.relu_layer | |
| tf.nn.rnn_cell | | tf.nn.rnn_cell |
| tf.nn.rnn_cell.BasicLSTMCell | tf.compat.v1.nn.rnn_cell.BasicLSTMCell | |
| tf.nn.rnn_cell.BasicRNNCell | tf.compat.v1.nn.rnn_cell.BasicRNNCell | |
| tf.nn.rnn_cell.DeviceWrapper | tf.compat.v1.nn.rnn_cell.DeviceWrapper | tf.nn.rnn_cell.DeviceWrapper |
| tf.nn.rnn_cell.DropoutWrapper | tf.compat.v1.nn.rnn_cell.DropoutWrapper | |
| tf.nn.rnn_cell.GRUCell | tf.compat.v1.nn.rnn_cell.GRUCell | |
| tf.nn.rnn_cell.LSTMCell | tf.compat.v1.nn.rnn_cell.LSTMCell | |
| tf.nn.rnn_cell.LSTMStateTuple | tf.compat.v1.nn.rnn_cell.LSTMStateTuple | tf.nn.rnn_cell.LSTMStateTuple |
| tf.nn.rnn_cell.MultiRNNCell | tf.compat.v1.nn.rnn_cell.MultiRNNCell | |
| tf.nn.rnn_cell.RNNCell | tf.compat.v1.nn.rnn_cell.RNNCell | tf.nn.rnn_cell.RNNCell |
| tf.nn.rnn_cell.ResidualWrapper | tf.compat.v1.nn.rnn_cell.ResidualWrapper | |
| tf.nn.safe_embedding_lookup_sparse | | tf.nn.safe_embedding_lookup_sparse |
| tf.nn.sampled_softmax_loss | | tf.nn.sampled_softmax_loss |
| tf.nn.selu | | tf.nn.selu |
| tf.nn.separable_conv2d | | tf.nn.separable_conv2d |
| tf.nn.sigmoid | | tf.nn.sigmoid |
| tf.nn.sigmoid_cross_entropy_with_logits | | tf.nn.sigmoid_cross_entropy_with_logits |
| tf.nn.softmax | | tf.nn.softmax |
| tf.nn.softmax_cross_entropy_with_logits | | tf.nn.softmax_cross_entropy_with_logits |
| tf.nn.softmax_cross_entropy_with_logits_v2 | tf.nn.softmax_cross_entropy_with_logits | |
| tf.nn.softplus | | tf.nn.softplus |
| tf.nn.softsign | | tf.nn.softsign |
| tf.nn.space_to_batch | tf.space_to_batch | tf.nn.space_to_batch |
| tf.nn.space_to_depth | | tf.nn.space_to_depth |
| tf.nn.sparse_softmax_cross_entropy_with_logits | | tf.nn.sparse_softmax_cross_entropy_with_logits |
| tf.nn.static_bidirectional_rnn | tf.compat.v1.nn.static_bidirectional_rnn | |
| tf.nn.static_rnn | tf.compat.v1.nn.static_rnn | |
| tf.nn.static_state_saving_rnn | | tf.nn.static_state_saving_rnn |
| tf.nn.sufficient_statistics | | tf.nn.sufficient_statistics |
| tf.nn.tanh | | tf.nn.tanh |
| tf.nn.top_k | | tf.nn.top_k |
| tf.nn.uniform_candidate_sampler | tf.random.uniform_candidate_sampler | |
| tf.nn.weighted_cross_entropy_with_logits | | tf.nn.weighted_cross_entropy_with_logits |
| tf.nn.weighted_moments | | tf.nn.weighted_moments |
| tf.nn.with_space_to_batch | | tf.nn.with_space_to_batch |
| tf.nn.xw_plus_b | tf.compat.v1.nn.xw_plus_b | |
| tf.nn.zero_fraction | | tf.nn.zero_fraction |
| tf.no_op | | tf.no_op |
| tf.no_regularizer | | tf.no_regularizer |
| tf.norm | | tf.norm |
| tf.not_equal | | tf.not_equal |
| tf.one_hot | | tf.one_hot |
| tf.ones | | tf.ones |
| tf.ones_initializer | tf.compat.v1.initializers.ones | tf.ones_initializer |
| tf.ones_like | | tf.ones_like |
| tf.op_scope | tf.name_scope / tf.compat.v1.op_scope | |
| tf.orthogonal_initializer | tf.compat.v1.orthogonal_initializer | |
| tf.pad | | tf.pad |
| tf.parallel_stack | | tf.parallel_stack |
| tf.parse_example | tf.io.parse_example | |
| tf.parse_single_example | tf.io.parse_single_example | |
| tf.parse_single_sequence_example | tf.io.parse_single_sequence_example | |
| tf.parse_tensor | tf.io.parse_tensor | |
| tf.placeholder | tf.compat.v1.placeholder | |
| tf.placeholder_with_default | tf.compat.v1.placeholder_with_default | |
| tf.polygamma | tf.math.polygamma | |
| tf.pow | | tf.pow |
| tf.print | | tf.print |
| tf.profiler | | |
| tf.profiler.AdviceProto | tf.compat.v1.profiler.AdviceProto | |
| tf.profiler.GraphNodeProto | tf.compat.v1.profiler.GraphNodeProto | |
| tf.profiler.MultiGraphNodeProto | tf.compat.v1.profiler.MultiGraphNodeProto | |
| tf.profiler.OpLogProto | tf.compat.v1.profiler.OpLogProto | |
| tf.profiler.ProfileOptionBuilder | tf.compat.v1.profiler.ProfileOptionBuilder | |
| tf.profiler.Profiler | tf.compat.v1.profiler.Profiler | |
| tf.profiler.advise | tf.compat.v1.profiler.advise | |
| tf.profiler.profile | tf.compat.v1.profiler.profile | |
| tf.profiler.write_op_log | tf.compat.v1.profiler.write_op_log | |
| tf.py_func | tf.compat.v1.py_func | |
| tf.python_io | | |
| tf.python_io.TFRecordCompressionType | tf.io.TFRecordCompressionType | |
| tf.python_io.TFRecordOptions | tf.io.TFRecordOptions | |
| tf.python_io.TFRecordWriter | tf.io.TFRecordWriter | |
| tf.python_io.tf_record_iterator | tf.compat.v1.python_io.tf_record_iterator | |
| tf.pywrap_tensorflow | tf.compat.v1.pywrap_tensorflow | |
| tf.qr | tf.linalg.qr | |
| tf.quantization | | tf.quantization |
| tf.quantization.dequantize | | tf.quantization.dequantize |
| tf.quantization.fake_quant_with_min_max_args | | tf.quantization.fake_quant_with_min_max_args |
| tf.quantization.fake_quant_with_min_max_args_gradient | | tf.quantization.fake_quant_with_min_max_args_gradient |
| tf.quantization.fake_quant_with_min_max_vars | | tf.quantization.fake_quant_with_min_max_vars |
| tf.quantization.fake_quant_with_min_max_vars_gradient | | tf.quantization.fake_quant_with_min_max_vars_gradient |
| tf.quantization.fake_quant_with_min_max_vars_per_channel | | tf.quantization.fake_quant_with_min_max_vars_per_channel |
| tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient | | tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient |
| tf.quantization.quantize | | tf.quantization.quantize |
| tf.quantization.quantized_concat | | tf.quantization.quantized_concat |
| tf.quantize | tf.quantization.quantize | |
| tf.quantize_v2 | tf.quantization.quantize | |
| tf.quantized_concat | tf.quantization.quantized_concat | |
| tf.random | | tf.random |
| tf.random.gamma | tf.random.gamma | tf.random.gamma |
| tf.random.get_seed | tf.compat.v1.random.get_seed | |
| tf.random.log_uniform_candidate_sampler | | tf.random.log_uniform_candidate_sampler |
| tf.random.multinomial | | |
| tf.random.normal | | tf.random.normal |
| tf.random.poisson | | tf.random.poisson |
| tf.random.set_random_seed | tf.compat.v1.random.set_random_seed | |
| tf.random.shuffle | | tf.random.shuffle |
| tf.random.truncated_normal | | tf.random.truncated_normal |
| tf.random.uniform | | tf.random.uniform |
| tf.random.uniform_candidate_sampler | | tf.random.uniform_candidate_sampler |
| tf.random_crop | tf.image.random_crop | |
| tf.random_gamma | tf.random.gamma | |
| tf.random_normal | tf.random.normal | |
| tf.random_normal_initializer | tf.compat.v1.initializers.random_normal | |
| tf.random_poisson | tf.random.poisson | |
| tf.random_shuffle | tf.random.shuffle | |
| tf.random_uniform | tf.random.uniform | |
| tf.random_uniform_initializer | tf.compat.v1.initializers.random_uniform | tf.random_uniform_initializer |
| tf.range | | tf.range |
| tf.rank | | tf.rank |
| tf.read_file | tf.io.read_file | |
| tf.real | tf.math.real | |
| tf.realdiv | | tf.realdiv |
| tf.reciprocal | tf.math.reciprocal | |
| tf.reduce_all | | tf.reduce_all |
| tf.reduce_any | | tf.reduce_any |
| tf.reduce_join | tf.strings.reduce_join | |
| tf.reduce_logsumexp | | tf.reduce_logsumexp |
| tf.reduce_max | | tf.reduce_max |
| tf.reduce_mean | | tf.reduce_mean |
| tf.reduce_min | | tf.reduce_min |
| tf.reduce_prod | | tf.reduce_prod |
| tf.reduce_sum | | tf.reduce_sum |
| tf.regex_replace | tf.strings.regex_replace | |
| tf.register_tensor_conversion_function | | tf.register_tensor_conversion_function |
| tf.report_uninitialized_variables | tf.compat.v1.report_uninitialized_variables | |
| tf.required_space_to_batch_paddings | | tf.required_space_to_batch_paddings |
| tf.reset_default_graph | tf.compat.v1.reset_default_graph | |
| tf.reshape | | tf.reshape |
| tf.resource_loader | | |
| tf.resource_loader.get_data_files_path | tf.compat.v1.resource_loader.get_data_files_path | |
| tf.resource_loader.get_path_to_datafile | tf.compat.v1.resource_loader.get_path_to_datafile | |
| tf.resource_loader.get_root_dir_with_all_resources | tf.compat.v1.resource_loader.get_root_dir_with_all_resources | |
| tf.resource_loader.load_resource | tf.compat.v1.resource_loader.load_resource | |
| tf.resource_loader.readahead_file_path | tf.compat.v1.resource_loader.readahead_file_path | |
| tf.reverse | | tf.reverse |
| tf.reverse_sequence | | tf.reverse_sequence |
| tf.reverse_v2 | tf.reverse | |
| tf.rint | tf.math.rint | |
| tf.roll | | tf.roll |
| tf.round | | tf.round |
| tf.rsqrt | tf.math.rsqrt | |
| tf.saturate_cast | | tf.saturate_cast |
| tf.saved_model | | tf.saved_model |
| tf.saved_model.Builder | tf.compat.v1.saved_model.Builder | |
| tf.saved_model.build_signature_def | tf.compat.v1.saved_model.build_signature_def | |
| tf.saved_model.build_tensor_info | tf.compat.v1.saved_model.build_tensor_info | |
| tf.saved_model.builder | | |
| tf.saved_model.builder.SavedModelBuilder | tf.compat.v1.saved_model.builder.SavedModelBuilder | |
| tf.saved_model.classification_signature_def | tf.compat.v1.saved_model.classification_signature_def | |
| tf.saved_model.constants | | |
| tf.saved_model.get_tensor_from_tensor_info | tf.compat.v1.saved_model.get_tensor_from_tensor_info | |
| tf.saved_model.is_valid_signature | tf.compat.v1.saved_model.is_valid_signature | |
| tf.saved_model.load | tf.compat.v1.saved_model.load | |
| tf.saved_model.loader | | |
| tf.saved_model.loader.load | tf.compat.v1.saved_model.loader.load | |
| tf.saved_model.loader.maybe_saved_model_directory | tf.compat.v1.saved_model.loader.maybe_saved_model_directory | |
| tf.saved_model.main_op | | |
| tf.saved_model.main_op.main_op | tf.compat.v1.saved_model.main_op.main_op | |
| tf.saved_model.main_op.main_op_with_restore | tf.compat.v1.saved_model.main_op.main_op_with_restore | |
| tf.saved_model.main_op_with_restore | tf.compat.v1.saved_model.main_op_with_restore | |
| tf.saved_model.maybe_saved_model_directory | tf.compat.v1.saved_model.maybe_saved_model_directory | |
| tf.saved_model.predict_signature_def | tf.compat.v1.saved_model.predict_signature_def | |
| tf.saved_model.regression_signature_def | tf.compat.v1.saved_model.regression_signature_def | |
| tf.saved_model.signature_constants | | |
| tf.saved_model.signature_def_utils | | |
| tf.saved_model.signature_def_utils.build_signature_def | tf.compat.v1.saved_model.signature_def_utils.build_signature_def | |
| tf.saved_model.signature_def_utils.classification_signature_def | tf.compat.v1.saved_model.signature_def_utils.classification_signature_def | |
| tf.saved_model.signature_def_utils.is_valid_signature | tf.compat.v1.saved_model.signature_def_utils.is_valid_signature | |
| tf.saved_model.signature_def_utils.predict_signature_def | tf.compat.v1.saved_model.signature_def_utils.predict_signature_def | |
| tf.saved_model.signature_def_utils.regression_signature_def | tf.compat.v1.saved_model.signature_def_utils.regression_signature_def | |
| tf.saved_model.simple_save | tf.compat.v1.saved_model.simple_save | |
| tf.saved_model.tag_constants | | |
| tf.saved_model.utils | | |
| tf.saved_model.utils.build_tensor_info | tf.compat.v1.saved_model.utils.build_tensor_info | |
| tf.saved_model.utils.get_tensor_from_tensor_info | tf.compat.v1.saved_model.utils.get_tensor_from_tensor_info | |
| tf.scalar_mul | | tf.scalar_mul |
| tf.scan | | tf.scan |
| tf.scatter_add | tf.compat.v1.scatter_add | |
| tf.scatter_div | tf.compat.v1.scatter_div | tf.scatter_div |
| tf.scatter_max | tf.compat.v1.scatter_max | tf.scatter_max |
| tf.scatter_min | tf.compat.v1.scatter_min | tf.scatter_min |
| tf.scatter_mul | tf.compat.v1.scatter_mul | tf.scatter_mul |
| tf.scatter_nd | | tf.scatter_nd |
| tf.scatter_nd_add | tf.compat.v1.scatter_nd_add | |
| tf.scatter_nd_sub | tf.compat.v1.scatter_nd_sub | |
| tf.scatter_nd_update | tf.compat.v1.scatter_nd_update | |
| tf.scatter_sub | tf.compat.v1.scatter_sub | |
| tf.scatter_update | tf.compat.v1.scatter_update | |
| tf.searchsorted | | tf.searchsorted |
| tf.segment_max | tf.math.segment_max | |
| tf.segment_mean | tf.math.segment_mean | |
| tf.segment_min | tf.math.segment_min | |
| tf.segment_prod | tf.math.segment_prod | |
| tf.segment_sum | tf.math.segment_sum | |
| tf.self_adjoint_eig | tf.linalg.eigh | |
| tf.self_adjoint_eigvals | tf.linalg.eigvalsh | |
| tf.sequence_mask | | tf.sequence_mask |
| tf.serialize_many_sparse | tf.compat.v1.serialize_many_sparse | |
| tf.serialize_sparse | tf.compat.v1.serialize_sparse | |
| tf.serialize_tensor | tf.io.serialize_tensor | |
| tf.set_random_seed | tf.compat.v1.set_random_seed | |
| tf.setdiff1d | tf.compat.v1.setdiff1d | |
| tf.sets | | tf.sets |
| tf.sets.set_difference | tf.sets.difference | |
| tf.sets.set_intersection | tf.sets.intersection | |
| tf.sets.set_size | tf.sets.size | |
| tf.sets.set_union | tf.sets.union | |
| tf.shape | | tf.shape |
| tf.shape_n | | tf.shape_n |
| tf.sigmoid | | tf.sigmoid |
| tf.sign | | tf.sign |
| tf.sin | | tf.sin |
| tf.sinh | | tf.sinh |
| tf.size | | tf.size |
| tf.slice | | tf.slice |
| tf.space_to_batch | | tf.space_to_batch |
| tf.space_to_batch_nd | tf.space_to_batch | tf.space_to_batch_nd |
| tf.space_to_depth | tf.compat.v1.space_to_depth | |
| tf.sparse | | tf.sparse |
| tf.sparse.SparseConditionalAccumulator | | tf.sparse.SparseConditionalAccumulator |
| tf.sparse.SparseTensor | | tf.sparse.SparseTensor |
| tf.sparse.add | | tf.sparse.add |
| tf.sparse.concat | | tf.sparse.concat |
| tf.sparse.cross | | tf.sparse.cross |
| tf.sparse.cross_hashed | | tf.sparse.cross_hashed |
| tf.sparse.expand_dims | | tf.sparse.expand_dims |
| tf.sparse.eye | | tf.sparse.eye |
| tf.sparse.fill_empty_rows | tf.sparse.fill_empty_rows | tf.sparse.fill_empty_rows |
| tf.sparse.mask | tf.sparse.mask | tf.sparse.mask |
| tf.sparse.matmul | tf.sparse.sparse_dense_matmul | |
| tf.sparse.maximum | tf.sparse.maximum | tf.sparse.maximum |
| tf.sparse.merge | tf.compat.v1.sparse.merge | |
| tf.sparse.minimum | | tf.sparse.minimum |
| tf.sparse.placeholder | tf.compat.v1.sparse.placeholder | |
| tf.sparse.reduce_max | | tf.sparse.reduce_max |
| tf.sparse.reduce_max_sparse | tf.compat.v1.sparse.reduce_max_sparse | |
| tf.sparse.reduce_sum | | tf.sparse.reduce_sum |
| tf.sparse.reduce_sum_sparse | tf.compat.v1.sparse.reduce_sum_sparse | |
| tf.sparse.reorder | | tf.sparse.reorder |
| tf.sparse.reset_shape | | tf.sparse.reset_shape |
| tf.sparse.reshape | | tf.sparse.reshape |
| tf.sparse.retain | | tf.sparse.retain |
| tf.sparse.segment_mean | | tf.sparse.segment_mean |
| tf.sparse.segment_sqrt_n | | tf.sparse.segment_sqrt_n |
| tf.sparse.segment_sum | | tf.sparse.segment_sum |
| tf.sparse.slice | | tf.sparse.slice |
| tf.sparse.softmax | | tf.sparse.softmax |
| tf.sparse.split | | tf.sparse.split |
| tf.sparse.to_dense | | tf.sparse.to_dense |
| tf.sparse.to_indicator | | tf.sparse.to_indicator |
| tf.sparse.transpose | | tf.sparse.transpose |
| tf.sparse_add | tf.sparse.add | |
| tf.sparse_concat | tf.sparse.concat | |
| tf.sparse_fill_empty_rows | tf.sparse.fill_empty_rows | |
| tf.sparse_mask | tf.sparse.mask | |
| tf.sparse_matmul | tf.linalg.matmul | |
| tf.sparse_maximum | tf.sparse.maximum | |
| tf.sparse_merge | tf.compat.v1.sparse_merge | |
| tf.sparse_minimum | tf.sparse.minimum | |
| tf.sparse_placeholder | tf.compat.v1.sparse_placeholder | |
| tf.sparse_reduce_max | tf.sparse.reduce_max | |
| tf.sparse_reduce_max_sparse | tf.compat.v1.sparse_reduce_max_sparse | |
| tf.sparse_reduce_sum | tf.sparse.reduce_sum | |
| tf.sparse_reduce_sum_sparse | tf.compat.v1.sparse_reduce_sum_sparse | |
| tf.sparse_reorder | tf.sparse.reorder | |
| tf.sparse_reset_shape | tf.sparse.reset_shape | |
| tf.sparse_reshape | tf.sparse.reshape | |
| tf.sparse_retain | tf.sparse.retain | |
| tf.sparse_segment_mean | tf.compat.v1.sparse_segment_mean | |
| tf.sparse_segment_sqrt_n | tf.compat.v1.sparse_segment_sqrt_n | |
| tf.sparse_segment_sum | tf.compat.v1.sparse_segment_sum | |
| tf.sparse_slice | tf.sparse.slice | |
| tf.sparse_softmax | tf.sparse.softmax | |
| tf.sparse_split | tf.sparse.split | |
| tf.sparse_tensor_dense_matmul | tf.sparse.sparse_dense_matmul | |
| tf.sparse_tensor_to_dense | tf.sparse.to_dense | |
| tf.sparse_to_dense | tf.compat.v1.sparse_to_dense | |
| tf.sparse_to_indicator | tf.sparse.to_indicator | |
| tf.sparse_transpose | tf.sparse.transpose | |
| tf.spectral | | |
| tf.spectral.dct | tf.signal.dct | |
| tf.spectral.fft | tf.signal.fft | |
| tf.spectral.fft2d | tf.signal.fft2d | |
| tf.spectral.fft3d | tf.signal.fft3d | |
| tf.spectral.idct | tf.signal.idct | |
| tf.spectral.ifft | tf.signal.ifft | |
| tf.spectral.ifft2d | tf.signal.ifft2d | |
| tf.spectral.ifft3d | tf.signal.ifft3d | |
| tf.spectral.irfft | tf.signal.irfft | |
| tf.spectral.irfft2d | tf.signal.irfft2d | |
| tf.spectral.irfft3d | tf.signal.irfft3d | |
| tf.spectral.rfft | tf.signal.rfft | |
| tf.spectral.rfft2d | tf.signal.rfft2d | |
| tf.spectral.rfft3d | tf.signal.rfft3d | |
| tf.split | | tf.split |
| tf.sqrt | | tf.sqrt |
| tf.square | | tf.square |
| tf.squared_difference | tf.math.squared_difference | |
| tf.squeeze | | tf.squeeze |
| tf.stack | | tf.stack |
| tf.stop_gradient | | tf.stop_gradient |
| tf.strided_slice | | tf.strided_slice |
| tf.string_join | tf.strings.join | |
| tf.string_split | | tf.string_split |
| tf.string_strip | tf.strings.strip | |
| tf.string_to_hash_bucket | | |
| tf.string_to_hash_bucket_fast | tf.strings.to_hash_bucket_fast | |
| tf.string_to_hash_bucket_strong | tf.strings.to_hash_bucket_strong | |
| tf.string_to_number | tf.strings.to_number | |
| tf.strings | | tf.strings |
| tf.strings.format | | tf.strings.format |
| tf.strings.join | | tf.strings.join |
| tf.strings.length | | tf.strings.length |
| tf.strings.reduce_join | | tf.strings.reduce_join |
| tf.strings.regex_full_match | | tf.strings.regex_full_match |
| tf.strings.regex_replace | | tf.strings.regex_replace |
| tf.strings.split | | tf.strings.split |
| tf.strings.strip | | tf.strings.strip |
| tf.strings.substr | | tf.strings.substr |
| tf.strings.to_hash_bucket | tf.strings.to_hash_bucket | |
| tf.strings.to_hash_bucket_fast | | tf.strings.to_hash_bucket_fast |
| tf.strings.to_hash_bucket_strong | | tf.strings.to_hash_bucket_strong |
| tf.strings.to_number | | tf.strings.to_number |
| tf.strings.unicode_script | | tf.strings.unicode_script |
| tf.substr | tf.strings.substr | |
| tf.subtract | | tf.subtract |
| tf.summary | | |
| tf.summary.Event | tf.compat.v1.summary.Event | |
| tf.summary.FileWriter | tf.compat.v1.summary.FileWriter | |
| tf.summary.FileWriterCache | tf.compat.v1.summary.FileWriterCache | |
| tf.summary.SessionLog | tf.compat.v1.summary.SessionLog | |
| tf.summary.Summary | tf.compat.v1.summary.Summary | |
| tf.summary.Summary.Audio | | |
| tf.summary.Summary.Image | | |
| tf.summary.Summary.Value | | |
| tf.summary.SummaryDescription | tf.compat.v1.summary.SummaryDescription | |
| tf.summary.TaggedRunMetadata | tf.compat.v1.summary.TaggedRunMetadata | |
| tf.summary.audio | tf.compat.v1.summary.audio | |
| tf.summary.get_summary_description | tf.compat.v1.summary.get_summary_description | |
| tf.summary.histogram | tf.compat.v1.summary.histogram | |
| tf.summary.image | tf.compat.v1.summary.image | |
| tf.summary.merge | tf.compat.v1.summary.merge | |
| tf.summary.merge_all | tf.compat.v1.summary.merge_all | |
| tf.summary.scalar | tf.compat.v1.summary.scalar | |
| tf.summary.tensor_summary | tf.compat.v1.summary.tensor_summary | |
| tf.summary.text | tf.compat.v1.summary.text | |
| tf.svd | tf.linalg.svd | |
| tf.sysconfig | | tf.sysconfig |
| tf.sysconfig.get_compile_flags | | tf.sysconfig.get_compile_flags |
| tf.sysconfig.get_include | | tf.sysconfig.get_include |
| tf.sysconfig.get_lib | | tf.sysconfig.get_lib |
| tf.sysconfig.get_link_flags | | tf.sysconfig.get_link_flags |
| tf.tables_initializer | tf.compat.v1.tables_initializer | |
| tf.tan | | tf.tan |
| tf.tanh | | tf.tanh |
| tf.tensordot | | tf.tensordot |
| tf.test | | tf.test |
| tf.test.Benchmark | | tf.test.Benchmark |
| tf.test.StubOutForTesting | tf.compat.v1.test.StubOutForTesting | |
| tf.test.TestCase | | tf.test.TestCase |
| tf.test.TestCase.failureException | | tf.test.TestCase.failureException |
| tf.test.assert_equal_graph_def | | tf.test.assert_equal_graph_def |
| tf.test.compute_gradient | tf.compat.v1.test.compute_gradient | |
| tf.test.compute_gradient_error | tf.compat.v1.test.compute_gradient_error | |
| tf.test.create_local_cluster | | tf.test.create_local_cluster |
| tf.test.get_temp_dir | tf.compat.v1.test.get_temp_dir | |
| tf.test.gpu_device_name | | tf.test.gpu_device_name |
| tf.test.is_built_with_cuda | | tf.test.is_built_with_cuda |
| tf.test.is_gpu_available | | tf.test.is_gpu_available |
| tf.test.main | | tf.test.main |
| tf.test.test_src_dir_path | tf.compat.v1.test.test_src_dir_path | |
| tf.tile | | tf.tile |
| tf.timestamp | | tf.timestamp |
| tf.to_bfloat16 | tf.compat.v1.to_bfloat16 | |
| tf.to_complex128 | tf.compat.v1.to_complex128 | |
| tf.to_complex64 | tf.compat.v1.to_complex64 | |
| tf.to_double | tf.compat.v1.to_double | |
| tf.to_float | tf.compat.v1.to_float | |
| tf.to_int32 | tf.compat.v1.to_int32 | |
| tf.to_int64 | tf.compat.v1.to_int64 | |
| tf.tools | | tf.tools |
| tf.trace | tf.linalg.trace | |
| tf.train | | tf.train |
| tf.train.AdadeltaOptimizer | tf.compat.v1.train.AdadeltaOptimizer | |
| tf.train.AdagradDAOptimizer | tf.compat.v1.train.AdagradDAOptimizer | |
| tf.train.AdagradOptimizer | tf.compat.v1.train.AdagradOptimizer | |
| tf.train.AdamOptimizer | tf.compat.v1.train.AdamOptimizer | |
| tf.train.BytesList | | tf.train.BytesList |
| tf.train.Checkpoint | | tf.train.Checkpoint |
| tf.train.CheckpointSaverHook | tf.estimator.CheckpointSaverHook | |
| tf.train.CheckpointSaverListener | tf.estimator.CheckpointSaverListener | |
| tf.train.ChiefSessionCreator | tf.compat.v1.train.ChiefSessionCreator | |
| tf.train.ClusterDef | | tf.train.ClusterDef |
| tf.train.ClusterSpec | | tf.train.ClusterSpec |
| tf.train.Coordinator | | tf.train.Coordinator |
| tf.train.Example | | tf.train.Example |
| tf.train.ExponentialMovingAverage | | tf.train.ExponentialMovingAverage |
| tf.train.Feature | | tf.train.Feature |
| tf.train.FeatureList | | tf.train.FeatureList |
| tf.train.FeatureLists | | tf.train.FeatureLists |
| tf.train.FeatureLists.FeatureListEntry | | tf.train.FeatureLists.FeatureListEntry |
| tf.train.Features | | tf.train.Features |
| tf.train.Features.FeatureEntry | | tf.train.Features.FeatureEntry |
| tf.train.FeedFnHook | tf.estimator.FeedFnHook | |
| tf.train.FinalOpsHook | tf.estimator.FinalOpsHook | |
| tf.train.FloatList | | tf.train.FloatList |
| tf.train.FtrlOptimizer | tf.compat.v1.train.FtrlOptimizer | |
| tf.train.GlobalStepWaiterHook | tf.estimator.GlobalStepWaiterHook | |
| tf.train.GradientDescentOptimizer | tf.compat.v1.train.GradientDescentOptimizer | |
| tf.train.Int64List | | tf.train.Int64List |
| tf.train.JobDef | | tf.train.JobDef |
| tf.train.JobDef.TasksEntry | | tf.train.JobDef.TasksEntry |
| tf.train.LoggingTensorHook | tf.estimator.LoggingTensorHook | |
| tf.train.LooperThread | tf.compat.v1.train.LooperThread | |
| tf.train.MomentumOptimizer | tf.compat.v1.train.MomentumOptimizer | |
| tf.train.MonitoredSession | tf.compat.v1.train.MonitoredSession | |
| tf.train.MonitoredTrainingSession | tf.compat.v1.train.MonitoredTrainingSession | |
| tf.train.NanLossDuringTrainingError | tf.estimator.NanLossDuringTrainingError | |
| tf.train.NanTensorHook | tf.estimator.NanTensorHook | |
| tf.train.NewCheckpointReader | tf.compat.v1.train.NewCheckpointReader | |
| tf.train.Optimizer | tf.compat.v1.train.Optimizer | |
| tf.train.ProfilerHook | tf.estimator.ProfilerHook | |
| tf.train.ProximalAdagradOptimizer | tf.compat.v1.train.ProximalAdagradOptimizer | |
| tf.train.ProximalGradientDescentOptimizer | tf.compat.v1.train.ProximalGradientDescentOptimizer | |
| tf.train.QueueRunner | tf.compat.v1.train.QueueRunner | |
| tf.train.RMSPropOptimizer | tf.compat.v1.train.RMSPropOptimizer | |
| tf.train.Saver | tf.compat.v1.train.Saver | |
| tf.train.SaverDef | tf.compat.v1.train.SaverDef | |
| tf.train.Scaffold | tf.compat.v1.train.Scaffold | |
| tf.train.SecondOrStepTimer | tf.estimator.SecondOrStepTimer | |
| tf.train.SequenceExample | | tf.train.SequenceExample |
| tf.train.Server | tf.distribute.Server | |
| tf.train.ServerDef | | tf.train.ServerDef |
| tf.train.SessionCreator | tf.compat.v1.train.SessionCreator | |
| tf.train.SessionManager | tf.compat.v1.train.SessionManager | |
| tf.train.SessionRunArgs | tf.estimator.SessionRunArgs | |
| tf.train.SessionRunContext | tf.estimator.SessionRunContext | |
| tf.train.SessionRunHook | tf.estimator.SessionRunHook | |
| tf.train.SessionRunValues | tf.estimator.SessionRunValues | |
| tf.train.SingularMonitoredSession | tf.compat.v1.train.SingularMonitoredSession | |
| tf.train.StepCounterHook | tf.estimator.StepCounterHook | |
| tf.train.StopAtStepHook | tf.estimator.StopAtStepHook | |
| tf.train.SummarySaverHook | tf.estimator.SummarySaverHook | |
| tf.train.Supervisor | tf.compat.v1.train.Supervisor | |
| tf.train.SyncReplicasOptimizer | tf.compat.v1.train.SyncReplicasOptimizer | |
| tf.train.VocabInfo | tf.estimator.VocabInfo | |
| tf.train.WorkerSessionCreator | tf.compat.v1.train.WorkerSessionCreator | |
| tf.train.add_queue_runner | tf.compat.v1.train.add_queue_runner | |
| tf.train.assert_global_step | tf.compat.v1.train.assert_global_step | |
| tf.train.basic_train_loop | tf.compat.v1.train.basic_train_loop | |
| tf.train.batch | tf.compat.v1.train.batch | |
| tf.train.batch_join | tf.compat.v1.train.batch_join | |
| tf.train.checkpoint_exists | tf.compat.v1.train.checkpoint_exists | |
| tf.train.cosine_decay | tf.compat.v1.train.cosine_decay | |
| tf.train.cosine_decay_restarts | tf.compat.v1.train.cosine_decay_restarts | |
| tf.train.create_global_step | tf.compat.v1.train.create_global_step | |
| tf.train.do_quantize_training_on_graphdef | tf.compat.v1.train.do_quantize_training_on_graphdef | |
| tf.train.exponential_decay | | |
| tf.train.export_meta_graph | tf.compat.v1.train.export_meta_graph | |
| tf.train.generate_checkpoint_state_proto | tf.compat.v1.train.generate_checkpoint_state_proto | |
| tf.train.get_checkpoint_mtimes | tf.compat.v1.train.get_checkpoint_mtimes | |
| tf.train.get_checkpoint_state | | tf.train.get_checkpoint_state |
| tf.train.get_global_step | tf.compat.v1.train.get_global_step | |
| tf.train.get_or_create_global_step | tf.compat.v1.train.get_or_create_global_step | |
| tf.train.global_step | tf.compat.v1.train.global_step | |
| tf.train.import_meta_graph | tf.compat.v1.train.import_meta_graph | |
| tf.train.init_from_checkpoint | tf.compat.v1.train.init_from_checkpoint | |
| tf.train.input_producer | tf.compat.v1.train.input_producer | |
| tf.train.inverse_time_decay | tf.compat.v1.train.inverse_time_decay | |
| tf.train.latest_checkpoint | | tf.train.latest_checkpoint |
| tf.train.limit_epochs | tf.compat.v1.train.limit_epochs | |
| tf.train.linear_cosine_decay | tf.compat.v1.train.linear_cosine_decay | |
| tf.train.list_variables | | tf.train.list_variables |
| tf.train.load_checkpoint | | tf.train.load_checkpoint |
| tf.train.load_variable | | tf.train.load_variable |
| tf.train.match_filenames_once | tf.io.match_filenames_once | |
| tf.train.maybe_batch | tf.compat.v1.train.maybe_batch | |
| tf.train.maybe_batch_join | tf.compat.v1.train.maybe_batch_join | |
| tf.train.maybe_shuffle_batch | tf.compat.v1.train.maybe_shuffle_batch | |
| tf.train.maybe_shuffle_batch_join | tf.compat.v1.train.maybe_shuffle_batch_join | |
| tf.train.natural_exp_decay | tf.compat.v1.train.natural_exp_decay | |
| tf.train.noisy_linear_cosine_decay | tf.compat.v1.train.noisy_linear_cosine_decay | |
| tf.train.piecewise_constant | tf.compat.v1.train.piecewise_constant | |
| tf.train.polynomial_decay | tf.compat.v1.train.polynomial_decay | |
| tf.train.queue_runner | | |
| tf.train.queue_runner.QueueRunner | tf.compat.v1.train.queue_runner.QueueRunner | |
| tf.train.queue_runner.add_queue_runner | tf.compat.v1.train.queue_runner.add_queue_runner | |
| tf.train.queue_runner.start_queue_runners | tf.compat.v1.train.queue_runner.start_queue_runners | |
| tf.train.range_input_producer | tf.compat.v1.train.range_input_producer | |
| tf.train.remove_checkpoint | tf.compat.v1.train.remove_checkpoint | |
| tf.train.replica_device_setter | tf.compat.v1.train.replica_device_setter | |
| tf.train.sdca_fprint | | tf.train.sdca_fprint |
| tf.train.sdca_optimizer | | tf.train.sdca_optimizer |
| tf.train.sdca_shrink_l1 | | tf.train.sdca_shrink_l1 |
| tf.train.shuffle_batch | tf.compat.v1.train.shuffle_batch | |
| tf.train.shuffle_batch_join | tf.compat.v1.train.shuffle_batch_join | |
| tf.train.slice_input_producer | tf.compat.v1.train.slice_input_producer | |
| tf.train.start_queue_runners | tf.compat.v1.train.start_queue_runners | |
| tf.train.string_input_producer | tf.compat.v1.train.string_input_producer | |
| tf.train.summary_iterator | tf.compat.v1.train.summary_iterator | |
| tf.train.update_checkpoint_state | tf.compat.v1.train.update_checkpoint_state | |
| tf.train.warm_start | tf.compat.v1.train.warm_start | |
| tf.train.write_graph | tf.io.write_graph | |
| tf.trainable_variables | tf.compat.v1.trainable_variables | |
| tf.transpose | | tf.transpose |
| tf.truediv | | tf.truediv |
| tf.truncated_normal | tf.random.truncated_normal | |
| tf.truncated_normal_initializer | tf.compat.v1.initializers.truncated_normal | |
| tf.truncatediv | | tf.truncatediv |
| tf.truncatemod | | tf.truncatemod |
| tf.tuple | | tf.tuple |
| tf.uniform_unit_scaling_initializer | tf.compat.v1.uniform_unit_scaling_initializer | |
| tf.unique | | tf.unique |
| tf.unique_with_counts | | tf.unique_with_counts |
| tf.unravel_index | | tf.unravel_index |
| tf.unsorted_segment_max | tf.math.unsorted_segment_max | |
| tf.unsorted_segment_mean | tf.math.unsorted_segment_mean | |
| tf.unsorted_segment_min | tf.math.unsorted_segment_min | |
| tf.unsorted_segment_prod | tf.math.unsorted_segment_prod | |
| tf.unsorted_segment_sqrt_n | tf.math.unsorted_segment_sqrt_n | |
| tf.unsorted_segment_sum | tf.math.unsorted_segment_sum | |
| tf.unstack | | tf.unstack |
| tf.user_ops | | |
| tf.variable_axis_size_partitioner | tf.compat.v1.variable_axis_size_partitioner | |
| tf.variable_creator_scope | | tf.variable_creator_scope |
| tf.variable_op_scope | tf.compat.v1.variable_op_scope | |
| tf.variable_scope | tf.compat.v1.variable_scope | |
| tf.variables_initializer | tf.compat.v1.variables_initializer | |
| tf.variance_scaling_initializer | tf.compat.v1.variance_scaling_initializer | |
| tf.verify_tensor_all_finite | tf.compat.v1.verify_tensor_all_finite | |
| tf.where | | tf.where |
| tf.while_loop | | tf.while_loop |
| tf.write_file | tf.io.write_file | |
| tf.zeros | | tf.zeros |
| tf.zeros_initializer | tf.compat.v1.initializers.zeros | tf.zeros_initializer |
| tf.zeros_like | | tf.zeros_like |
| tf.zeta | tf.math.zeta | |
| tfdbg | | |
| tfdbg.DebugDumpDir | | |
| tfdbg.DebugTensorDatum | | |
| tfdbg.DumpingDebugHook | | |
| tfdbg.DumpingDebugWrapperSession | | |
| tfdbg.GradientsDebugger | | |
| tfdbg.GrpcDebugHook | | |
| tfdbg.GrpcDebugWrapperSession | | |
| tfdbg.LocalCLIDebugHook | | |
| tfdbg.LocalCLIDebugWrapperSession | | |
| tfdbg.TensorBoardDebugHook | | |
| tfdbg.TensorBoardDebugWrapperSession | | |
| tfdbg.WatchOptions | | |
| tfdbg.add_debug_tensor_watch | | |
| tfdbg.has_inf_or_nan | | |
| tfdbg.load_tensor_from_event | | |
| tfdbg.load_tensor_from_event_file | | |
| tfdbg.reconstruct_non_debug_graph_def | | |
| tfdbg.watch_graph | | |
| tfdbg.watch_graph_with_blacklists | | |
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