henryliangt
commented
3 years ago | 老版 写法TF 1.12+ | TF2.0写法 | TF 2+ 后 时代写法 |
|---|---|---|
| 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 |
track change of tf