TensorFlow 1.15 API支持列表
本章节列出昇腾AI处理器对TensorFlow 1.15版本Python API的支持情况。
支持的Python API
以下列表是支持的TensorFlow Python API集合列表,但此列表并不详尽。
模块 |
支持的Python API |
---|---|
tf |
tf.abs |
tf |
tf.accumulate_n |
tf |
tf.acos |
tf |
tf.acosh |
tf |
tf.add |
tf |
tf.add_check_numerics_ops |
tf |
tf.add_n |
tf |
tf.add_to_collection |
tf |
tf.add_to_collections |
tf |
tf.all_variables |
tf |
tf.angle |
tf |
tf.arg_max |
tf |
tf.arg_min |
tf |
tf.argmax |
tf |
tf.argmin |
tf |
tf.argsort |
tf |
tf.as_dtype |
tf |
tf.as_string |
tf |
tf.asin |
tf |
tf.asinh |
tf |
tf.Assert |
tf |
tf.assert_equal |
tf |
tf.assert_greater |
tf |
tf.assert_greater_equal |
tf |
tf.assert_integer |
tf |
tf.assert_less |
tf |
tf.assert_less_equal |
tf |
tf.assert_near |
tf |
tf.assert_negative |
tf |
tf.assert_non_negative |
tf |
tf.assert_non_positive |
tf |
tf.assert_none_equal |
tf |
tf.assert_positive |
tf |
tf.assert_proper_iterable |
tf |
tf.assert_rank |
tf |
tf.assert_rank_at_least |
tf |
tf.assert_rank_in |
tf |
tf.assert_same_float_dtype |
tf |
tf.assert_scalar |
tf |
tf.assert_type |
tf |
tf.assert_variables_initialized |
tf |
tf.assign |
tf |
tf.assign_add |
tf |
tf.assign_sub |
tf |
tf.atan |
tf |
tf.atan2 |
tf |
tf.atanh |
tf |
tf.AttrValue |
tf |
tf.AttrValue.ListValue |
tf |
tf.batch_gather |
tf |
tf.batch_scatter_update |
tf |
tf.batch_to_space |
tf |
tf.batch_to_space_nd |
tf |
tf.betainc |
tf |
tf.bincount |
tf |
tf.bitcast |
tf |
tf.boolean_mask |
tf |
tf.broadcast_dynamic_shape |
tf |
tf.broadcast_static_shape |
tf |
tf.broadcast_to |
tf |
tf.case |
tf |
tf.cast |
tf |
tf.ceil |
tf |
tf.check_numerics |
tf |
tf.cholesky |
tf |
tf.cholesky_solve |
tf |
tf.clip_by_average_norm |
tf |
tf.clip_by_global_norm |
tf |
tf.clip_by_norm |
tf |
tf.clip_by_value |
tf |
tf.complex |
tf |
tf.concat |
tf |
tf.cond |
tf |
tf.ConditionalAccumulator |
tf |
tf.ConfigProto |
tf |
tf.confusion_matrix |
tf |
tf.conj |
tf |
tf.constant |
tf |
tf.constant_initializer |
tf |
tf.container |
tf |
tf.control_dependencies |
tf |
tf.control_flow_v2_enabled |
tf |
tf.convert_to_tensor |
tf |
tf.cos |
tf |
tf.cosh |
tf |
tf.count_nonzero |
tf |
tf.count_up_to |
tf |
tf.create_partitioned_variables |
tf |
tf.cross |
tf |
tf.cumprod |
tf |
tf.cumsum |
tf |
tf.custom_gradient |
tf |
tf.decode_csv |
tf |
tf.decode_raw |
tf |
tf.delete_session_tensor |
tf |
tf.depth_to_space |
tf |
tf.device |
tf |
tf.DeviceSpec |
tf |
tf.diag |
tf |
tf.diag_part |
tf |
tf.digamma |
tf |
tf.Dimension |
tf |
tf.dimension_value |
tf |
tf.disable_control_flow_v2 |
tf |
tf.disable_eager_execution |
tf |
tf.disable_resource_variables |
tf |
tf.disable_tensor_equality |
tf |
tf.disable_v2_behavior |
tf |
tf.disable_v2_tensorshape |
tf |
tf.div |
tf |
tf.div_no_nan |
tf |
tf.divide |
tf |
tf.DType |
tf |
tf.dynamic_partition |
tf |
tf.dynamic_stitch |
tf |
tf.edit_distance |
tf |
tf.einsum |
tf |
tf.enable_control_flow_v2 |
tf |
tf.enable_resource_variables |
tf |
tf.ensure_shape |
tf |
tf.equal |
tf |
tf.erf |
tf |
tf.erfc |
tf |
tf.exp |
tf |
tf.expand_dims |
tf |
tf.expm1 |
tf |
tf.extract_image_patches |
tf |
tf.extract_volume_patches |
tf |
tf.eye |
tf |
tf.fake_quant_with_min_max_args |
tf |
tf.fake_quant_with_min_max_args_gradient |
tf |
tf.fft |
tf |
tf.fft2d |
tf |
tf.fft3d |
tf |
tf.FIFOQueue |
tf |
tf.fill |
tf |
tf.fingerprint |
tf |
tf.fixed_size_partitioner |
tf |
tf.FixedLenFeature |
tf |
tf.FixedLengthRecordReader |
tf |
tf.floor |
tf |
tf.floor_div |
tf |
tf.floordiv |
tf |
tf.floormod |
tf |
tf.foldl |
tf |
tf.foldr |
tf |
tf.function |
tf |
tf.gather |
tf |
tf.gather_nd |
tf |
tf.get_collection |
tf |
tf.get_collection_ref |
tf |
tf.get_default_graph |
tf |
tf.get_default_session |
tf |
tf.get_local_variable |
tf |
tf.get_logger |
tf |
tf.get_seed |
tf |
tf.get_session_handle |
tf |
tf.get_session_tensor |
tf |
tf.get_static_value |
tf |
tf.get_variable |
tf |
tf.get_variable_scope |
tf |
tf.global_norm |
tf |
tf.global_variables |
tf |
tf.global_variables_initializer |
tf |
tf.glorot_normal_initializer |
tf |
tf.glorot_uniform_initializer |
tf |
tf.GPUOptions |
tf |
tf.grad_pass_through |
tf |
tf.gradients |
tf |
tf.GradientTape |
tf |
tf.Graph |
tf |
tf.GraphDef |
tf |
tf.GraphKeys |
tf |
tf.greater |
tf |
tf.greater_equal |
tf |
tf.group |
tf |
tf.guarantee_const |
tf |
tf.hessians |
tf |
tf.histogram_fixed_width |
tf |
tf.histogram_fixed_width_bins |
tf |
tf.identity |
tf |
tf.identity_n |
tf |
tf.ifft |
tf |
tf.ifft2d |
tf |
tf.ifft3d |
tf |
tf.igamma |
tf |
tf.igammac |
tf |
tf.imag |
tf |
tf.image.ResizeMethod |
tf |
tf.import_graph_def |
tf |
tf.IndexedSlices |
tf |
tf.init_scope |
tf |
tf.initialize_all_tables |
tf |
tf.initialize_all_variables |
tf |
tf.initialize_local_variables |
tf |
tf.initialize_variables |
tf |
tf.InteractiveSession |
tf |
tf.invert_permutation |
tf |
tf.is_non_decreasing |
tf |
tf.is_numeric_tensor |
tf |
tf.is_strictly_increasing |
tf |
tf.is_tensor |
tf |
tf.is_variable_initialized |
tf |
tf.lbeta |
tf |
tf.less |
tf |
tf.less_equal |
tf |
tf.lgamma |
tf |
tf.lin_space |
tf |
tf.linspace |
tf |
tf.load_file_system_library |
tf |
tf.load_library |
tf |
tf.load_op_library |
tf |
tf.local_variables |
tf |
tf.local_variables_initializer |
tf |
tf.log |
tf |
tf.log_sigmoid |
tf |
tf.log1p |
tf |
tf.logical_and |
tf |
tf.logical_not |
tf |
tf.logical_or |
tf |
tf.logical_xor |
tf |
tf.LogMessage |
tf |
tf.make_ndarray |
tf |
tf.make_template |
tf |
tf.make_tensor_proto |
tf |
tf.map_fn |
tf |
tf.matmul |
tf |
tf.matrix_band_part |
tf |
tf.matrix_determinant |
tf |
tf.matrix_diag |
tf |
tf.matrix_diag_part |
tf |
tf.matrix_inverse |
tf |
tf.matrix_set_diag |
tf |
tf.matrix_solve |
tf |
tf.matrix_solve_ls |
tf |
tf.matrix_square_root |
tf |
tf.matrix_transpose |
tf |
tf.matrix_triangular_solve |
tf |
tf.maximum |
tf |
tf.meshgrid |
tf |
tf.min_max_variable_partitioner |
tf |
tf.minimum |
tf |
tf.mod |
tf |
tf.model_variables |
tf |
tf.Module |
tf |
tf.moving_average_variables |
tf |
tf.multinomial |
tf |
tf.multiply |
tf |
tf.name_scope |
tf |
tf.negative |
tf |
tf.no_op |
tf |
tf.norm |
tf |
tf.not_equal |
tf |
tf.numpy_function |
tf |
tf.one_hot |
tf |
tf.ones |
tf |
tf.ones_initializer |
tf |
tf.ones_like |
tf |
tf.op_scope |
tf |
tf.Operation |
tf |
tf.OptimizerOptions |
tf |
tf.orthogonal_initializer |
tf |
tf.pad |
tf |
tf.PaddingFIFOQueue |
tf |
tf.parallel_stack |
tf |
tf.parse_single_example |
tf |
tf.placeholder |
tf |
tf.placeholder_with_default |
tf |
tf.polygamma |
tf |
tf.pow |
tf |
tf.Print |
tf |
tf.print |
tf |
tf.PriorityQueue |
tf |
tf.py_func |
tf |
tf.py_function |
tf |
tf.qr |
tf |
tf.quantize_v2 |
tf |
tf.RaggedTensor |
tf |
tf.RaggedTensorSpec |
tf |
tf.RandomShuffleQueue |
tf |
tf.range |
tf |
tf.rank |
tf |
tf.read_file |
tf |
tf.ReaderBase |
tf |
tf.real |
tf |
tf.realdiv |
tf |
tf.reciprocal |
tf |
tf.recompute_grad |
tf |
tf.reduce_all |
tf |
tf.reduce_any |
tf |
tf.reduce_join |
tf |
tf.reduce_logsumexp |
tf |
tf.reduce_max |
tf |
tf.reduce_mean |
tf |
tf.reduce_min |
tf |
tf.reduce_prod |
tf |
tf.reduce_sum |
tf |
tf.regex_replace |
tf |
tf.register_tensor_conversion_function |
tf |
tf.RegisterGradient |
tf |
tf.repeat |
tf |
tf.report_uninitialized_variables |
tf |
tf.required_space_to_batch_paddings |
tf |
tf.reset_default_graph |
tf |
tf.reshape |
tf |
tf.reverse |
tf |
tf.reverse_sequence |
tf |
tf.reverse_v2 |
tf |
tf.rint |
tf |
tf.roll |
tf |
tf.round |
tf |
tf.rsqrt |
tf |
tf.RunMetadata |
tf |
tf.RunOptions |
tf |
tf.saturate_cast |
tf |
tf.scalar_mul |
tf |
tf.scan |
tf |
tf.scatter_add |
tf |
tf.scatter_div |
tf |
tf.scatter_max |
tf |
tf.scatter_min |
tf |
tf.scatter_mul |
tf |
tf.scatter_nd |
tf |
tf.scatter_nd_add |
tf |
tf.scatter_nd_sub |
tf |
tf.scatter_nd_update |
tf |
tf.scatter_sub |
tf |
tf.scatter_update |
tf |
tf.searchsorted |
tf |
tf.segment_max |
tf |
tf.segment_mean |
tf |
tf.segment_min |
tf |
tf.segment_prod |
tf |
tf.segment_sum |
tf |
tf.self_adjoint_eig |
tf |
tf.self_adjoint_eigvals |
tf |
tf.sequence_mask |
tf |
tf.Session |
tf |
tf.set_random_seed |
tf |
tf.setdiff1d |
tf |
tf.shape |
tf |
tf.shape_n |
tf |
tf.sigmoid |
tf |
tf.sign |
tf |
tf.sin |
tf |
tf.sinh |
tf |
tf.size |
tf |
tf.slice |
tf |
tf.sort |
tf |
tf.space_to_batch |
tf |
tf.space_to_batch_nd |
tf |
tf.space_to_depth |
tf |
tf.sparse_add |
tf |
tf.sparse_concat |
tf |
tf.sparse_fill_empty_rows |
tf |
tf.sparse_mask |
tf |
tf.sparse_matmul |
tf |
tf.sparse_maximum |
tf |
tf.sparse_merge |
tf |
tf.sparse_minimum |
tf |
tf.sparse_placeholder |
tf |
tf.sparse_reduce_max |
tf |
tf.sparse_reduce_max_sparse |
tf |
tf.sparse_reduce_sum |
tf |
tf.sparse_reduce_sum_sparse |
tf |
tf.sparse_reorder |
tf |
tf.sparse_reset_shape |
tf |
tf.sparse_reshape |
tf |
tf.sparse_retain |
tf |
tf.sparse_segment_mean |
tf |
tf.sparse_segment_sqrt_n |
tf |
tf.sparse_segment_sum |
tf |
tf.sparse_slice |
tf |
tf.sparse_softmax |
tf |
tf.sparse_split |
tf |
tf.sparse_tensor_dense_matmul |
tf |
tf.sparse_tensor_to_dense |
tf |
tf.sparse_to_dense |
tf |
tf.sparse_to_indicator |
tf |
tf.sparse_transpose |
tf |
tf.SparseConditionalAccumulator |
tf |
tf.SparseTensor |
tf |
tf.SparseTensorSpec |
tf |
tf.SparseTensorValue |
tf |
tf.split |
tf |
tf.sqrt |
tf |
tf.square |
tf |
tf.squared_difference |
tf |
tf.squeeze |
tf |
tf.stack |
tf |
tf.stop_gradient |
tf |
tf.strided_slice |
tf |
tf.string_join |
tf |
tf.string_split |
tf |
tf.string_strip |
tf |
tf.string_to_hash_bucket |
tf |
tf.string_to_hash_bucket_fast |
tf |
tf.string_to_hash_bucket_strong |
tf |
tf.string_to_number |
tf |
tf.substr |
tf |
tf.subtract |
tf |
tf.Summary |
tf |
tf.Summary.Value |
tf |
tf.svd |
tf |
tf.switch_case |
tf |
tf.tables_initializer |
tf |
tf.tan |
tf |
tf.tanh |
tf |
tf.Tensor |
tf |
tf.tensor_scatter_add |
tf |
tf.tensor_scatter_nd_add |
tf |
tf.tensor_scatter_nd_sub |
tf |
tf.tensor_scatter_nd_update |
tf |
tf.tensor_scatter_sub |
tf |
tf.tensor_scatter_update |
tf |
tf.TensorArray |
tf |
tf.tensordot |
tf |
tf.TensorShape |
tf |
tf.TensorSpec |
tf |
tf.TextLineReader |
tf |
tf.TFRecordReader |
tf |
tf.tile |
tf |
tf.timestamp |
tf |
tf.to_bfloat16 |
tf |
tf.to_complex128 |
tf |
tf.to_complex64 |
tf |
tf.to_double |
tf |
tf.to_float |
tf |
tf.to_int32 |
tf |
tf.to_int64 |
tf |
tf.trace |
tf |
tf.transpose |
tf |
tf.truediv |
tf |
tf.truncated_normal |
tf |
tf.truncated_normal_initializer |
tf |
tf.truncatediv |
tf |
tf.truncatemod |
tf |
tf.tuple |
tf |
tf.TypeSpec |
tf |
tf.uniform_unit_scaling_initializer |
tf |
tf.unique |
tf |
tf.unique_with_counts |
tf |
tf.unravel_index |
tf |
tf.unsorted_segment_max |
tf |
tf.unsorted_segment_mean |
tf |
tf.unsorted_segment_min |
tf |
tf.unsorted_segment_prod |
tf |
tf.unsorted_segment_sqrt_n |
tf |
tf.unsorted_segment_sum |
tf |
tf.unstack |
tf |
tf.Variable |
tf |
tf.Variable.SaveSliceInfo |
tf |
tf.variable_axis_size_partitioner |
tf |
tf.variable_scope |
tf |
tf.variables_initializer |
tf |
tf.variance_scaling_initializer |
tf |
tf.VarLenFeature |
tf |
tf.vectorized_map |
tf |
tf.verify_tensor_all_finite |
tf |
tf.where |
tf |
tf.where_v2 |
tf |
tf.while_loop |
tf |
tf.zeros |
tf |
tf.zeros_initializer |
tf |
tf.zeros_like |
tf |
tf.zeta |
tf.app |
tf.app.run |
tf.audio |
tf.audio.decode_wav |
tf.audio |
tf.audio.encode_wav |
tf.autograph |
tf.autograph.experimental.do_not_convert |
tf.autograph |
tf.autograph.experimental.Feature |
tf.autograph |
tf.autograph.set_verbosity |
tf.autograph |
tf.autograph.to_code |
tf.autograph |
tf.autograph.to_graph |
tf.autograph |
tf.autograph.trace |
tf.bitwise |
tf.bitwise.bitwise_and |
tf.bitwise |
tf.bitwise.bitwise_or |
tf.bitwise |
tf.bitwise.bitwise_xor |
tf.bitwise |
tf.bitwise.invert |
tf.bitwise |
tf.bitwise.left_shift |
tf.bitwise |
tf.bitwise.right_shift |
tf.compat |
tf.compat.as_bytes |
tf.compat |
tf.compat.as_str |
tf.compat |
tf.compat.as_str_any |
tf.compat |
tf.compat.as_text |
tf.compat |
tf.compat.dimension_at_index |
tf.compat |
tf.compat.dimension_value |
tf.compat |
tf.compat.forward_compatibility_horizon |
tf.compat |
tf.compat.forward_compatible |
tf.compat |
tf.compat.path_to_str |
tf.contrib |
tf.contrib.data.map_and_batch |
tf.contrib |
tf.contrib.data.parallel_interleave |
tf.contrib |
tf.contrib.graph_editor.add_control_inputs |
tf.contrib |
tf.contrib.graph_editor.copy_with_input_replacements |
tf.contrib |
tf.contrib.graph_editor.filter_ts |
tf.contrib |
tf.contrib.graph_editor.filter_ts_from_regex |
tf.contrib |
tf.contrib.graph_editor.get_backward_walk_ops |
tf.contrib |
tf.contrib.graph_editor.reroute_ts |
tf.contrib |
tf.contrib.tpu.TPUEstimator |
tf.contrib |
tf.contrib.tpu.TPUEstimatorSpec |
tf.data |
tf.data.Dataset |
tf.data |
tf.data.experimental.cardinality |
tf.data |
tf.data.experimental.group_by_window |
tf.data |
tf.data.experimental.map_and_batch |
tf.data |
tf.data.experimental.parallel_interleave |
tf.data |
tf.data.experimental.prefetch_to_device |
tf.data |
tf.data.experimental.sample_from_datasets |
tf.data |
tf.data.experimental.shuffle_and_repeat |
tf.data |
tf.data.FixedLengthRecordDataset |
tf.data |
tf.data.Iterator |
tf.data |
tf.data.make_initializable_iterator |
tf.data |
tf.data.make_one_shot_iterator |
tf.data |
tf.data.Options |
tf.data |
tf.data.TextLineDataset |
tf.data |
tf.data.TFRecordDataset |
tf.debugging |
tf.debugging.Assert |
tf.debugging |
tf.debugging.assert_all_finite |
tf.debugging |
tf.debugging.assert_equal |
tf.debugging |
tf.debugging.assert_greater |
tf.debugging |
tf.debugging.assert_greater_equal |
tf.debugging |
tf.debugging.assert_integer |
tf.debugging |
tf.debugging.assert_less |
tf.debugging |
tf.debugging.assert_less_equal |
tf.debugging |
tf.debugging.assert_near |
tf.debugging |
tf.debugging.assert_negative |
tf.debugging |
tf.debugging.assert_non_negative |
tf.debugging |
tf.debugging.assert_non_positive |
tf.debugging |
tf.debugging.assert_none_equal |
tf.debugging |
tf.debugging.assert_positive |
tf.debugging |
tf.debugging.assert_proper_iterable |
tf.debugging |
tf.debugging.assert_rank |
tf.debugging |
tf.debugging.assert_rank_at_least |
tf.debugging |
tf.debugging.assert_rank_in |
tf.debugging |
tf.debugging.assert_same_float_dtype |
tf.debugging |
tf.debugging.assert_scalar |
tf.debugging |
tf.debugging.assert_shapes |
tf.debugging |
tf.debugging.assert_type |
tf.debugging |
tf.debugging.check_numerics |
tf.debugging |
tf.debugging.get_log_device_placement |
tf.debugging |
tf.debugging.is_finite |
tf.debugging |
tf.debugging.is_inf |
tf.debugging |
tf.debugging.is_nan |
tf.debugging |
tf.debugging.is_non_decreasing |
tf.debugging |
tf.debugging.is_numeric_tensor |
tf.debugging |
tf.debugging.is_strictly_increasing |
tf.debugging |
tf.debugging.set_log_device_placement |
tf.distribute |
tf.distribute.CrossDeviceOps |
tf.distribute |
tf.distribute.experimental.CollectiveCommunication |
tf.distribute |
tf.distribute.HierarchicalCopyAllReduce |
tf.distribute |
tf.distribute.InputContext |
tf.distribute |
tf.distribute.NcclAllReduce |
tf.distribute |
tf.distribute.OneDeviceStrategy |
tf.distribute |
tf.distribute.Strategy |
tf.distributions |
tf.distributions.Bernoulli |
tf.distributions |
tf.distributions.Beta |
tf.distributions |
tf.distributions.Categorical |
tf.distributions |
tf.distributions.Dirichlet |
tf.distributions |
tf.distributions.DirichletMultinomial |
tf.distributions |
tf.distributions.Exponential |
tf.distributions |
tf.distributions.Gamma |
tf.distributions |
tf.distributions.Laplace |
tf.distributions |
tf.distributions.Multinomial |
tf.distributions |
tf.distributions.Normal |
tf.distributions |
tf.distributions.RegisterKL |
tf.distributions |
tf.distributions.StudentT |
tf.distributions |
tf.distributions.Uniform |
tf.dtypes |
tf.dtypes.as_dtype |
tf.dtypes |
tf.dtypes.as_string |
tf.dtypes |
tf.dtypes.cast |
tf.dtypes |
tf.dtypes.complex |
tf.dtypes |
tf.dtypes.DType |
tf.dtypes |
tf.dtypes.saturate_cast |
tf.errors |
tf.errors.InvalidArgumentError |
tf.errors |
tf.errors.NotFoundError |
tf.errors |
tf.errors.OutOfRangeError |
tf.errors |
tf.errors.ResourceExhaustedError |
tf.estimator |
tf.estimator.add_metrics |
tf.estimator |
tf.estimator.BaselineClassifier |
tf.estimator |
tf.estimator.BaselineEstimator |
tf.estimator |
tf.estimator.BaselineRegressor |
tf.estimator |
tf.estimator.BestExporter |
tf.estimator |
tf.estimator.BinaryClassHead |
tf.estimator |
tf.estimator.BoostedTreesClassifier |
tf.estimator |
tf.estimator.BoostedTreesEstimator |
tf.estimator |
tf.estimator.BoostedTreesRegressor |
tf.estimator |
tf.estimator.CheckpointSaverHook |
tf.estimator |
tf.estimator.CheckpointSaverListener |
tf.estimator |
tf.estimator.DNNClassifier |
tf.estimator |
tf.estimator.DNNEstimator |
tf.estimator |
tf.estimator.DNNLinearCombinedClassifier |
tf.estimator |
tf.estimator.DNNLinearCombinedEstimator |
tf.estimator |
tf.estimator.DNNLinearCombinedRegressor |
tf.estimator |
tf.estimator.DNNRegressor |
tf.estimator |
tf.estimator.Estimator |
tf.estimator |
tf.estimator.EstimatorSpec |
tf.estimator |
tf.estimator.EvalSpec |
tf.estimator |
tf.estimator.FeedFnHook |
tf.estimator |
tf.estimator.FinalOpsHook |
tf.estimator |
tf.estimator.GlobalStepWaiterHook |
tf.estimator |
tf.estimator.inputs.numpy_input_fn |
tf.estimator |
tf.estimator.LinearClassifier |
tf.estimator |
tf.estimator.LinearEstimator |
tf.estimator |
tf.estimator.LinearRegressor |
tf.estimator |
tf.estimator.LoggingTensorHook |
tf.estimator |
tf.estimator.ModeKeys |
tf.estimator |
tf.estimator.ProfilerHook |
tf.estimator |
tf.estimator.RunConfig |
tf.estimator |
tf.estimator.SecondOrStepTimer |
tf.estimator |
tf.estimator.SessionRunArgs |
tf.estimator |
tf.estimator.SessionRunContext |
tf.estimator |
tf.estimator.SessionRunHook |
tf.estimator |
tf.estimator.SessionRunValues |
tf.estimator |
tf.estimator.StepCounterHook |
tf.estimator |
tf.estimator.StopAtStepHook |
tf.estimator |
tf.estimator.SummarySaverHook |
tf.estimator |
tf.estimator.tpu.RunConfig |
tf.estimator |
tf.estimator.tpu.TPUEstimator |
tf.estimator |
tf.estimator.train_and_evaluate |
tf.estimator |
tf.estimator.TrainSpec |
tf.estimator |
tf.estimator.VocabInfo |
tf.feature_column |
tf.feature_column.bucketized_column |
tf.feature_column |
tf.feature_column.categorical_column_with_hash_bucket |
tf.feature_column |
tf.feature_column.categorical_column_with_identity |
tf.feature_column |
tf.feature_column.categorical_column_with_vocabulary_file |
tf.feature_column |
tf.feature_column.categorical_column_with_vocabulary_list |
tf.feature_column |
tf.feature_column.crossed_column |
tf.feature_column |
tf.feature_column.embedding_column |
tf.feature_column |
tf.feature_column.indicator_column |
tf.feature_column |
tf.feature_column.input_layer |
tf.feature_column |
tf.feature_column.linear_model |
tf.feature_column |
tf.feature_column.make_parse_example_spec |
tf.feature_column |
tf.feature_column.numeric_column |
tf.feature_column |
tf.feature_column.sequence_categorical_column_with_hash_bucket |
tf.feature_column |
tf.feature_column.sequence_categorical_column_with_identity |
tf.feature_column |
tf.feature_column.sequence_categorical_column_with_vocabulary_file |
tf.feature_column |
tf.feature_column.sequence_categorical_column_with_vocabulary_list |
tf.feature_column |
tf.feature_column.sequence_numeric_column |
tf.feature_column |
tf.feature_column.shared_embedding_columns |
tf.feature_column |
tf.feature_column.weighted_categorical_column |
tf.gfile |
tf.gfile.Copy |
tf.gfile |
tf.gfile.DeleteRecursively |
tf.gfile |
tf.gfile.Exists |
tf.gfile |
tf.gfile.FastGFile |
tf.gfile |
tf.gfile.GFile |
tf.gfile |
tf.gfile.Glob |
tf.gfile |
tf.gfile.IsDirectory |
tf.gfile |
tf.gfile.ListDirectory |
tf.gfile |
tf.gfile.MakeDirs |
tf.gfile |
tf.gfile.MkDir |
tf.gfile |
tf.gfile.Open |
tf.gfile |
tf.gfile.Remove |
tf.gfile |
tf.gfile.Rename |
tf.gfile |
tf.gfile.Stat |
tf.gfile |
tf.gfile.Walk |
tf.graph_util |
tf.graph_util.convert_variables_to_constants |
tf.graph_util |
tf.graph_util.extract_sub_graph |
tf.graph_util |
tf.graph_util.import_graph_def |
tf.graph_util |
tf.graph_util.remove_training_nodes |
tf.image |
tf.image.combined_non_max_suppression |
tf.image |
tf.image.convert_image_dtype |
tf.image |
tf.image.crop_and_resize |
tf.image |
tf.image.decode_image |
tf.image |
tf.image.decode_jpeg |
tf.image |
tf.image.decode_png |
tf.image |
tf.image.draw_bounding_boxes |
tf.image |
tf.image.encode_jpeg |
tf.image |
tf.image.extract_image_patches |
tf.image |
tf.image.is_jpeg |
tf.image |
tf.image.non_max_suppression |
tf.image |
tf.image.pad_to_bounding_box |
tf.image |
tf.image.psnr |
tf.image |
tf.image.random_crop |
tf.image |
tf.image.random_flip_left_right |
tf.image |
tf.image.resize |
tf.image |
tf.image.resize_bilinear |
tf.image |
tf.image.resize_image_with_crop_or_pad |
tf.image |
tf.image.resize_image_with_pad |
tf.image |
tf.image.resize_images |
tf.image |
tf.image.resize_nearest_neighbor |
tf.image |
tf.image.sample_distorted_bounding_box |
tf.image |
tf.image.ssim |
tf.initializers |
tf.initializers.constant |
tf.initializers |
tf.initializers.global_variables |
tf.initializers |
tf.initializers.glorot_normal |
tf.initializers |
tf.initializers.glorot_uniform |
tf.initializers |
tf.initializers.he_normal |
tf.initializers |
tf.initializers.he_uniform |
tf.initializers |
tf.initializers.identity |
tf.initializers |
tf.initializers.lecun_normal |
tf.initializers |
tf.initializers.lecun_uniform |
tf.initializers |
tf.initializers.local_variables |
tf.initializers |
tf.initializers.ones |
tf.initializers |
tf.initializers.orthogonal |
tf.initializers |
tf.initializers.random_normal |
tf.initializers |
tf.initializers.random_uniform |
tf.initializers |
tf.initializers.tables_initializer |
tf.initializers |
tf.initializers.truncated_normal |
tf.initializers |
tf.initializers.uniform_unit_scaling |
tf.initializers |
tf.initializers.variables |
tf.initializers |
tf.initializers.variance_scaling |
tf.initializers |
tf.initializers.zeros |
tf.io |
tf.io.decode_csv |
tf.io |
tf.io.decode_raw |
tf.io |
tf.io.FixedLenFeature |
tf.io |
tf.io.gfile.exists |
tf.io |
tf.io.gfile.GFile |
tf.io |
tf.io.gfile.glob |
tf.io |
tf.io.gfile.listdir |
tf.io |
tf.io.gfile.makedirs |
tf.io |
tf.io.PaddingFIFOQueue |
tf.io |
tf.io.parse_single_example |
tf.io |
tf.io.PriorityQueue |
tf.io |
tf.io.RandomShuffleQueue |
tf.io |
tf.io.read_file |
tf.io |
tf.io.VarLenFeature |
tf.io |
tf.io.write_graph |
tf.keras |
tf.keras.activations.deserialize |
tf.keras |
tf.keras.activations.elu |
tf.keras |
tf.keras.activations.exponential |
tf.keras |
tf.keras.activations.get |
tf.keras |
tf.keras.activations.hard_sigmoid |
tf.keras |
tf.keras.activations.linear |
tf.keras |
tf.keras.activations.relu |
tf.keras |
tf.keras.activations.selu |
tf.keras |
tf.keras.activations.serialize |
tf.keras |
tf.keras.activations.sigmoid |
tf.keras |
tf.keras.activations.softmax |
tf.keras |
tf.keras.activations.softplus |
tf.keras |
tf.keras.activations.softsign |
tf.keras |
tf.keras.activations.tanh |
tf.keras |
tf.keras.applications.densenet |
tf.keras |
tf.keras.applications.densenet.decode_predictions |
tf.keras |
tf.keras.applications.densenet.DenseNet121 |
tf.keras |
tf.keras.applications.densenet.DenseNet169 |
tf.keras |
tf.keras.applications.densenet.DenseNet201 |
tf.keras |
tf.keras.applications.densenet.preprocess_input |
tf.keras |
tf.keras.applications.DenseNet121 |
tf.keras |
tf.keras.applications.DenseNet169 |
tf.keras |
tf.keras.applications.DenseNet201 |
tf.keras |
tf.keras.applications.imagenet_utils |
tf.keras |
tf.keras.applications.imagenet_utils.decode_predictions |
tf.keras |
tf.keras.applications.imagenet_utils.preprocess_input |
tf.keras |
tf.keras.applications.inception_resnet_v2 |
tf.keras |
tf.keras.applications.inception_resnet_v2.decode_predictions |
tf.keras |
tf.keras.applications.inception_resnet_v2.InceptionResNetV2 |
tf.keras |
tf.keras.applications.inception_resnet_v2.preprocess_input |
tf.keras |
tf.keras.applications.inception_v3 |
tf.keras |
tf.keras.applications.inception_v3.decode_predictions |
tf.keras |
tf.keras.applications.inception_v3.InceptionV3 |
tf.keras |
tf.keras.applications.inception_v3.preprocess_input |
tf.keras |
tf.keras.applications.InceptionResNetV2 |
tf.keras |
tf.keras.applications.InceptionV3 |
tf.keras |
tf.keras.applications.MobileNet |
tf.keras |
tf.keras.applications.mobilenet |
tf.keras |
tf.keras.applications.mobilenet.decode_predictions |
tf.keras |
tf.keras.applications.mobilenet.MobileNet |
tf.keras |
tf.keras.applications.mobilenet.preprocess_input |
tf.keras |
tf.keras.applications.mobilenet_v2 |
tf.keras |
tf.keras.applications.mobilenet_v2.decode_predictions |
tf.keras |
tf.keras.applications.mobilenet_v2.MobileNetV2 |
tf.keras |
tf.keras.applications.mobilenet_v2.preprocess_input |
tf.keras |
tf.keras.applications.MobileNetV2 |
tf.keras |
tf.keras.applications.nasnet |
tf.keras |
tf.keras.applications.nasnet.preprocess_input |
tf.keras |
tf.keras.applications.NASNetLarge |
tf.keras |
tf.keras.applications.NASNetMobile |
tf.keras |
tf.keras.applications.resnet |
tf.keras |
tf.keras.applications.resnet.decode_predictions |
tf.keras |
tf.keras.applications.resnet.preprocess_input |
tf.keras |
tf.keras.applications.resnet.ResNet101 |
tf.keras |
tf.keras.applications.resnet.ResNet152 |
tf.keras |
tf.keras.applications.resnet.ResNet50 |
tf.keras |
tf.keras.applications.resnet_v2 |
tf.keras |
tf.keras.applications.resnet_v2.decode_predictions |
tf.keras |
tf.keras.applications.resnet_v2.preprocess_input |
tf.keras |
tf.keras.applications.resnet_v2.ResNet101V2 |
tf.keras |
tf.keras.applications.resnet_v2.ResNet152V2 |
tf.keras |
tf.keras.applications.resnet_v2.ResNet50V2 |
tf.keras |
tf.keras.applications.ResNet101 |
tf.keras |
tf.keras.applications.ResNet101V2 |
tf.keras |
tf.keras.applications.ResNet152 |
tf.keras |
tf.keras.applications.ResNet152V2 |
tf.keras |
tf.keras.applications.ResNet50 |
tf.keras |
tf.keras.applications.resnet50 |
tf.keras |
tf.keras.applications.resnet50.decode_predictions |
tf.keras |
tf.keras.applications.resnet50.preprocess_input |
tf.keras |
tf.keras.applications.resnet50.ResNet50 |
tf.keras |
tf.keras.applications.ResNet50V2 |
tf.keras |
tf.keras.applications.VGG16 |
tf.keras |
tf.keras.applications.vgg16 |
tf.keras |
tf.keras.applications.vgg16.decode_predictions |
tf.keras |
tf.keras.applications.vgg16.preprocess_input |
tf.keras |
tf.keras.applications.vgg16.VGG16 |
tf.keras |
tf.keras.applications.VGG19 |
tf.keras |
tf.keras.applications.vgg19 |
tf.keras |
tf.keras.applications.vgg19.decode_predictions |
tf.keras |
tf.keras.applications.vgg19.preprocess_input |
tf.keras |
tf.keras.applications.vgg19.VGG19 |
tf.keras |
tf.keras.applications.Xception |
tf.keras |
tf.keras.applications.xception |
tf.keras |
tf.keras.applications.xception.decode_predictions |
tf.keras |
tf.keras.applications.xception.preprocess_input |
tf.keras |
tf.keras.applications.xception.Xception |
tf.keras |
tf.keras.backend.abs |
tf.keras |
tf.keras.backend.all |
tf.keras |
tf.keras.backend.any |
tf.keras |
tf.keras.backend.arange |
tf.keras |
tf.keras.backend.argmax |
tf.keras |
tf.keras.backend.argmin |
tf.keras |
tf.keras.backend.backend |
tf.keras |
tf.keras.backend.batch_dot |
tf.keras |
tf.keras.backend.batch_flatten |
tf.keras |
tf.keras.backend.batch_get_value |
tf.keras |
tf.keras.backend.batch_normalization |
tf.keras |
tf.keras.backend.batch_set_value |
tf.keras |
tf.keras.backend.bias_add |
tf.keras |
tf.keras.backend.binary_crossentropy |
tf.keras |
tf.keras.backend.cast |
tf.keras |
tf.keras.backend.cast_to_floatx |
tf.keras |
tf.keras.backend.categorical_crossentropy |
tf.keras |
tf.keras.backend.clear_session |
tf.keras |
tf.keras.backend.clip |
tf.keras |
tf.keras.backend.concatenate |
tf.keras |
tf.keras.backend.constant |
tf.keras |
tf.keras.backend.conv1d |
tf.keras |
tf.keras.backend.conv2d |
tf.keras |
tf.keras.backend.conv2d_transpose |
tf.keras |
tf.keras.backend.conv3d |
tf.keras |
tf.keras.backend.cos |
tf.keras |
tf.keras.backend.count_params |
tf.keras |
tf.keras.backend.ctc_batch_cost |
tf.keras |
tf.keras.backend.ctc_decode |
tf.keras |
tf.keras.backend.ctc_label_dense_to_sparse |
tf.keras |
tf.keras.backend.cumprod |
tf.keras |
tf.keras.backend.cumsum |
tf.keras |
tf.keras.backend.dot |
tf.keras |
tf.keras.backend.dropout |
tf.keras |
tf.keras.backend.dtype |
tf.keras |
tf.keras.backend.elu |
tf.keras |
tf.keras.backend.epsilon |
tf.keras |
tf.keras.backend.equal |
tf.keras |
tf.keras.backend.eval |
tf.keras |
tf.keras.backend.exp |
tf.keras |
tf.keras.backend.expand_dims |
tf.keras |
tf.keras.backend.eye |
tf.keras |
tf.keras.backend.flatten |
tf.keras |
tf.keras.backend.floatx |
tf.keras |
tf.keras.backend.foldl |
tf.keras |
tf.keras.backend.foldr |
tf.keras |
tf.keras.backend.function |
tf.keras |
tf.keras.backend.gather |
tf.keras |
tf.keras.backend.get_session |
tf.keras |
tf.keras.backend.get_uid |
tf.keras |
tf.keras.backend.get_value |
tf.keras |
tf.keras.backend.gradients |
tf.keras |
tf.keras.backend.greater |
tf.keras |
tf.keras.backend.greater_equal |
tf.keras |
tf.keras.backend.hard_sigmoid |
tf.keras |
tf.keras.backend.image_data_format |
tf.keras |
tf.keras.backend.in_test_phase |
tf.keras |
tf.keras.backend.in_top_k |
tf.keras |
tf.keras.backend.in_train_phase |
tf.keras |
tf.keras.backend.int_shape |
tf.keras |
tf.keras.backend.is_sparse |
tf.keras |
tf.keras.backend.l2_normalize |
tf.keras |
tf.keras.backend.learning_phase |
tf.keras |
tf.keras.backend.learning_phase_scope |
tf.keras |
tf.keras.backend.less |
tf.keras |
tf.keras.backend.less_equal |
tf.keras |
tf.keras.backend.local_conv1d |
tf.keras |
tf.keras.backend.local_conv2d |
tf.keras |
tf.keras.backend.log |
tf.keras |
tf.keras.backend.manual_variable_initialization |
tf.keras |
tf.keras.backend.map_fn |
tf.keras |
tf.keras.backend.max |
tf.keras |
tf.keras.backend.maximum |
tf.keras |
tf.keras.backend.mean |
tf.keras |
tf.keras.backend.min |
tf.keras |
tf.keras.backend.minimum |
tf.keras |
tf.keras.backend.moving_average_update |
tf.keras |
tf.keras.backend.name_scope |
tf.keras |
tf.keras.backend.ndim |
tf.keras |
tf.keras.backend.normalize_batch_in_training |
tf.keras |
tf.keras.backend.not_equal |
tf.keras |
tf.keras.backend.one_hot |
tf.keras |
tf.keras.backend.ones |
tf.keras |
tf.keras.backend.ones_like |
tf.keras |
tf.keras.backend.permute_dimensions |
tf.keras |
tf.keras.backend.placeholder |
tf.keras |
tf.keras.backend.pool2d |
tf.keras |
tf.keras.backend.pool3d |
tf.keras |
tf.keras.backend.pow |
tf.keras |
tf.keras.backend.print_tensor |
tf.keras |
tf.keras.backend.prod |
tf.keras |
tf.keras.backend.random_binomial |
tf.keras |
tf.keras.backend.random_normal |
tf.keras |
tf.keras.backend.random_normal_variable |
tf.keras |
tf.keras.backend.random_uniform |
tf.keras |
tf.keras.backend.random_uniform_variable |
tf.keras |
tf.keras.backend.relu |
tf.keras |
tf.keras.backend.repeat |
tf.keras |
tf.keras.backend.repeat_elements |
tf.keras |
tf.keras.backend.reset_uids |
tf.keras |
tf.keras.backend.reshape |
tf.keras |
tf.keras.backend.resize_images |
tf.keras |
tf.keras.backend.resize_volumes |
tf.keras |
tf.keras.backend.reverse |
tf.keras |
tf.keras.backend.rnn |
tf.keras |
tf.keras.backend.round |
tf.keras |
tf.keras.backend.separable_conv2d |
tf.keras |
tf.keras.backend.set_epsilon |
tf.keras |
tf.keras.backend.set_floatx |
tf.keras |
tf.keras.backend.set_image_data_format |
tf.keras |
tf.keras.backend.set_learning_phase |
tf.keras |
tf.keras.backend.set_session |
tf.keras |
tf.keras.backend.set_value |
tf.keras |
tf.keras.backend.shape |
tf.keras |
tf.keras.backend.sigmoid |
tf.keras |
tf.keras.backend.sign |
tf.keras |
tf.keras.backend.sin |
tf.keras |
tf.keras.backend.softmax |
tf.keras |
tf.keras.backend.softplus |
tf.keras |
tf.keras.backend.softsign |
tf.keras |
tf.keras.backend.sparse_categorical_crossentropy |
tf.keras |
tf.keras.backend.spatial_2d_padding |
tf.keras |
tf.keras.backend.spatial_3d_padding |
tf.keras |
tf.keras.backend.sqrt |
tf.keras |
tf.keras.backend.square |
tf.keras |
tf.keras.backend.squeeze |
tf.keras |
tf.keras.backend.stack |
tf.keras |
tf.keras.backend.std |
tf.keras |
tf.keras.backend.stop_gradient |
tf.keras |
tf.keras.backend.sum |
tf.keras |
tf.keras.backend.switch |
tf.keras |
tf.keras.backend.tanh |
tf.keras |
tf.keras.backend.temporal_padding |
tf.keras |
tf.keras.backend.tile |
tf.keras |
tf.keras.backend.to_dense |
tf.keras |
tf.keras.backend.transpose |
tf.keras |
tf.keras.backend.truncated_normal |
tf.keras |
tf.keras.backend.update |
tf.keras |
tf.keras.backend.update_add |
tf.keras |
tf.keras.backend.update_sub |
tf.keras |
tf.keras.backend.var |
tf.keras |
tf.keras.backend.variable |
tf.keras |
tf.keras.backend.zeros |
tf.keras |
tf.keras.backend.zeros_like |
tf.keras |
tf.keras.callbacks.BaseLogger |
tf.keras |
tf.keras.callbacks.Callback |
tf.keras |
tf.keras.callbacks.CSVLogger |
tf.keras |
tf.keras.callbacks.EarlyStopping |
tf.keras |
tf.keras.callbacks.History |
tf.keras |
tf.keras.callbacks.LambdaCallback |
tf.keras |
tf.keras.callbacks.LearningRateScheduler |
tf.keras |
tf.keras.callbacks.ModelCheckpoint |
tf.keras |
tf.keras.callbacks.ProgbarLogger |
tf.keras |
tf.keras.callbacks.ReduceLROnPlateau |
tf.keras |
tf.keras.callbacks.TensorBoard |
tf.keras |
tf.keras.constraints |
tf.keras |
tf.keras.constraints.deserialize |
tf.keras |
tf.keras.constraints.get |
tf.keras |
tf.keras.constraints.max_norm |
tf.keras |
tf.keras.constraints.MaxNorm |
tf.keras |
tf.keras.constraints.min_max_norm |
tf.keras |
tf.keras.constraints.MinMaxNorm |
tf.keras |
tf.keras.constraints.non_neg |
tf.keras |
tf.keras.constraints.NonNeg |
tf.keras |
tf.keras.constraints.radial_constraint |
tf.keras |
tf.keras.constraints.serialize |
tf.keras |
tf.keras.constraints.unit_norm |
tf.keras |
tf.keras.constraints.UnitNorm |
tf.keras |
tf.keras.datasets |
tf.keras |
tf.keras.datasets.boston_housing.load_data |
tf.keras |
tf.keras.datasets.cifar10 |
tf.keras |
tf.keras.datasets.cifar10.load_data |
tf.keras |
tf.keras.datasets.cifar100.load_data |
tf.keras |
tf.keras.datasets.fashion_mnist |
tf.keras |
tf.keras.datasets.fashion_mnist.load_data |
tf.keras |
tf.keras.datasets.imdb |
tf.keras |
tf.keras.datasets.imdb.get_word_index |
tf.keras |
tf.keras.datasets.imdb.load_data |
tf.keras |
tf.keras.datasets.mnist |
tf.keras |
tf.keras.datasets.mnist.load_data |
tf.keras |
tf.keras.datasets.reuters |
tf.keras |
tf.keras.datasets.reuters.get_word_index |
tf.keras |
tf.keras.datasets.reuters.load_data |
tf.keras |
tf.keras.experimental.CosineDecay |
tf.keras |
tf.keras.experimental.CosineDecayRestarts |
tf.keras |
tf.keras.experimental.LinearCosineDecay |
tf.keras |
tf.keras.experimental.NoisyLinearCosineDecay |
tf.keras |
tf.keras.experimental.WideDeepModel |
tf.keras |
tf.keras.initializers |
tf.keras |
tf.keras.initializers.Constant |
tf.keras |
tf.keras.initializers.constant |
tf.keras |
tf.keras.initializers.deserialize |
tf.keras |
tf.keras.initializers.get |
tf.keras |
tf.keras.initializers.glorot_normal |
tf.keras |
tf.keras.initializers.glorot_uniform |
tf.keras |
tf.keras.initializers.he_normal |
tf.keras |
tf.keras.initializers.he_uniform |
tf.keras |
tf.keras.initializers.Identity |
tf.keras |
tf.keras.initializers.identity |
tf.keras |
tf.keras.initializers.lecun_normal |
tf.keras |
tf.keras.initializers.lecun_uniform |
tf.keras |
tf.keras.initializers.normal |
tf.keras |
tf.keras.initializers.Ones |
tf.keras |
tf.keras.initializers.ones |
tf.keras |
tf.keras.initializers.Orthogonal |
tf.keras |
tf.keras.initializers.orthogonal |
tf.keras |
tf.keras.initializers.random_normal |
tf.keras |
tf.keras.initializers.random_uniform |
tf.keras |
tf.keras.initializers.RandomNormal |
tf.keras |
tf.keras.initializers.RandomUniform |
tf.keras |
tf.keras.initializers.serialize |
tf.keras |
tf.keras.initializers.truncated_normal |
tf.keras |
tf.keras.initializers.TruncatedNormal |
tf.keras |
tf.keras.initializers.uniform |
tf.keras |
tf.keras.initializers.VarianceScaling |
tf.keras |
tf.keras.initializers.Zeros |
tf.keras |
tf.keras.initializers.zeros |
tf.keras |
tf.keras.Input |
tf.keras |
tf.keras.layers |
tf.keras |
tf.keras.layers.AbstractRNNCell |
tf.keras |
tf.keras.layers.Activation |
tf.keras |
tf.keras.layers.ActivityRegularization |
tf.keras |
tf.keras.layers.Add |
tf.keras |
tf.keras.layers.add |
tf.keras |
tf.keras.layers.AdditiveAttention |
tf.keras |
tf.keras.layers.AlphaDropout |
tf.keras |
tf.keras.layers.Attention |
tf.keras |
tf.keras.layers.Average |
tf.keras |
tf.keras.layers.average |
tf.keras |
tf.keras.layers.AveragePooling1D |
tf.keras |
tf.keras.layers.AveragePooling2D |
tf.keras |
tf.keras.layers.AveragePooling3D |
tf.keras |
tf.keras.layers.AvgPool1D |
tf.keras |
tf.keras.layers.AvgPool2D |
tf.keras |
tf.keras.layers.AvgPool3D |
tf.keras |
tf.keras.layers.BatchNormalization |
tf.keras |
tf.keras.layers.Bidirectional |
tf.keras |
tf.keras.layers.Concatenate |
tf.keras |
tf.keras.layers.concatenate |
tf.keras |
tf.keras.layers.Conv1D |
tf.keras |
tf.keras.layers.Conv2D |
tf.keras |
tf.keras.layers.Conv2DTranspose |
tf.keras |
tf.keras.layers.Conv3D |
tf.keras |
tf.keras.layers.Conv3DTranspose |
tf.keras |
tf.keras.layers.ConvLSTM2D |
tf.keras |
tf.keras.layers.Convolution1D |
tf.keras |
tf.keras.layers.Convolution2D |
tf.keras |
tf.keras.layers.Convolution2DTranspose |
tf.keras |
tf.keras.layers.Convolution3D |
tf.keras |
tf.keras.layers.Convolution3DTranspose |
tf.keras |
tf.keras.layers.Cropping1D |
tf.keras |
tf.keras.layers.Cropping2D |
tf.keras |
tf.keras.layers.Cropping3D |
tf.keras |
tf.keras.layers.CuDNNGRU |
tf.keras |
tf.keras.layers.CuDNNLSTM |
tf.keras |
tf.keras.layers.Dense |
tf.keras |
tf.keras.layers.DenseFeatures |
tf.keras |
tf.keras.layers.DepthwiseConv2D |
tf.keras |
tf.keras.layers.deserialize |
tf.keras |
tf.keras.layers.Dot |
tf.keras |
tf.keras.layers.dot |
tf.keras |
tf.keras.layers.Dropout |
tf.keras |
tf.keras.layers.ELU |
tf.keras |
tf.keras.layers.Embedding |
tf.keras |
tf.keras.layers.Flatten |
tf.keras |
tf.keras.layers.GaussianDropout |
tf.keras |
tf.keras.layers.GaussianNoise |
tf.keras |
tf.keras.layers.GlobalAveragePooling1D |
tf.keras |
tf.keras.layers.GlobalAveragePooling2D |
tf.keras |
tf.keras.layers.GlobalAveragePooling3D |
tf.keras |
tf.keras.layers.GlobalAvgPool1D |
tf.keras |
tf.keras.layers.GlobalAvgPool2D |
tf.keras |
tf.keras.layers.GlobalAvgPool3D |
tf.keras |
tf.keras.layers.GlobalMaxPool1D |
tf.keras |
tf.keras.layers.GlobalMaxPool2D |
tf.keras |
tf.keras.layers.GlobalMaxPool3D |
tf.keras |
tf.keras.layers.GlobalMaxPooling1D |
tf.keras |
tf.keras.layers.GlobalMaxPooling2D |
tf.keras |
tf.keras.layers.GlobalMaxPooling3D |
tf.keras |
tf.keras.layers.GRU |
tf.keras |
tf.keras.layers.GRUCell |
tf.keras |
tf.keras.layers.Input |
tf.keras |
tf.keras.layers.InputLayer |
tf.keras |
tf.keras.layers.InputSpec |
tf.keras |
tf.keras.layers.Lambda |
tf.keras |
tf.keras.layers.Layer |
tf.keras |
tf.keras.layers.LayerNormalization |
tf.keras |
tf.keras.layers.LeakyReLU |
tf.keras |
tf.keras.layers.LocallyConnected1D |
tf.keras |
tf.keras.layers.LocallyConnected2D |
tf.keras |
tf.keras.layers.LSTM |
tf.keras |
tf.keras.layers.LSTMCell |
tf.keras |
tf.keras.layers.Masking |
tf.keras |
tf.keras.layers.Maximum |
tf.keras |
tf.keras.layers.maximum |
tf.keras |
tf.keras.layers.MaxPool1D |
tf.keras |
tf.keras.layers.MaxPool2D |
tf.keras |
tf.keras.layers.MaxPool3D |
tf.keras |
tf.keras.layers.MaxPooling1D |
tf.keras |
tf.keras.layers.MaxPooling2D |
tf.keras |
tf.keras.layers.MaxPooling3D |
tf.keras |
tf.keras.layers.Minimum |
tf.keras |
tf.keras.layers.minimum |
tf.keras |
tf.keras.layers.Multiply |
tf.keras |
tf.keras.layers.multiply |
tf.keras |
tf.keras.layers.Permute |
tf.keras |
tf.keras.layers.PReLU |
tf.keras |
tf.keras.layers.ReLU |
tf.keras |
tf.keras.layers.RepeatVector |
tf.keras |
tf.keras.layers.Reshape |
tf.keras |
tf.keras.layers.RNN |
tf.keras |
tf.keras.layers.SeparableConv1D |
tf.keras |
tf.keras.layers.SeparableConv2D |
tf.keras |
tf.keras.layers.SeparableConvolution1D |
tf.keras |
tf.keras.layers.SeparableConvolution2D |
tf.keras |
tf.keras.layers.serialize |
tf.keras |
tf.keras.layers.SimpleRNN |
tf.keras |
tf.keras.layers.SimpleRNNCell |
tf.keras |
tf.keras.layers.Softmax |
tf.keras |
tf.keras.layers.SpatialDropout1D |
tf.keras |
tf.keras.layers.SpatialDropout2D |
tf.keras |
tf.keras.layers.SpatialDropout3D |
tf.keras |
tf.keras.layers.StackedRNNCells |
tf.keras |
tf.keras.layers.Subtract |
tf.keras |
tf.keras.layers.subtract |
tf.keras |
tf.keras.layers.ThresholdedReLU |
tf.keras |
tf.keras.layers.TimeDistributed |
tf.keras |
tf.keras.layers.UpSampling1D |
tf.keras |
tf.keras.layers.UpSampling2D |
tf.keras |
tf.keras.layers.UpSampling3D |
tf.keras |
tf.keras.layers.Wrapper |
tf.keras |
tf.keras.layers.ZeroPadding1D |
tf.keras |
tf.keras.layers.ZeroPadding2D |
tf.keras |
tf.keras.layers.ZeroPadding3D |
tf.keras |
tf.keras.losses.binary_crossentropy |
tf.keras |
tf.keras.losses.BinaryCrossentropy |
tf.keras |
tf.keras.losses.categorical_crossentropy |
tf.keras |
tf.keras.losses.categorical_hinge |
tf.keras |
tf.keras.losses.CategoricalCrossentropy |
tf.keras |
tf.keras.losses.CategoricalHinge |
tf.keras |
tf.keras.losses.cosine |
tf.keras |
tf.keras.losses.cosine_proximity |
tf.keras |
tf.keras.losses.cosine_similarity |
tf.keras |
tf.keras.losses.CosineSimilarity |
tf.keras |
tf.keras.losses.deserialize |
tf.keras |
tf.keras.losses.get |
tf.keras |
tf.keras.losses.Hinge |
tf.keras |
tf.keras.losses.hinge |
tf.keras |
tf.keras.losses.Huber |
tf.keras |
tf.keras.losses.KLD |
tf.keras |
tf.keras.losses.kld |
tf.keras |
tf.keras.losses.KLDivergence |
tf.keras |
tf.keras.losses.kullback_leibler_divergence |
tf.keras |
tf.keras.losses.LogCosh |
tf.keras |
tf.keras.losses.logcosh |
tf.keras |
tf.keras.losses.Loss |
tf.keras |
tf.keras.losses.MAE |
tf.keras |
tf.keras.losses.mae |
tf.keras |
tf.keras.losses.MAPE |
tf.keras |
tf.keras.losses.mape |
tf.keras |
tf.keras.losses.mean_absolute_error |
tf.keras |
tf.keras.losses.mean_absolute_percentage_error |
tf.keras |
tf.keras.losses.mean_squared_error |
tf.keras |
tf.keras.losses.mean_squared_logarithmic_error |
tf.keras |
tf.keras.losses.MeanAbsoluteError |
tf.keras |
tf.keras.losses.MeanAbsolutePercentageError |
tf.keras |
tf.keras.losses.MeanSquaredError |
tf.keras |
tf.keras.losses.MeanSquaredLogarithmicError |
tf.keras |
tf.keras.losses.MSE |
tf.keras |
tf.keras.losses.mse |
tf.keras |
tf.keras.losses.MSLE |
tf.keras |
tf.keras.losses.msle |
tf.keras |
tf.keras.losses.Poisson |
tf.keras |
tf.keras.losses.poisson |
tf.keras |
tf.keras.losses.serialize |
tf.keras |
tf.keras.losses.sparse_categorical_crossentropy |
tf.keras |
tf.keras.losses.SparseCategoricalCrossentropy |
tf.keras |
tf.keras.losses.squared_hinge |
tf.keras |
tf.keras.losses.SquaredHinge |
tf.keras |
tf.keras.metrics.Accuracy |
tf.keras |
tf.keras.metrics.AUC |
tf.keras |
tf.keras.metrics.binary_accuracy |
tf.keras |
tf.keras.metrics.binary_crossentropy |
tf.keras |
tf.keras.metrics.BinaryAccuracy |
tf.keras |
tf.keras.metrics.BinaryCrossentropy |
tf.keras |
tf.keras.metrics.categorical_accuracy |
tf.keras |
tf.keras.metrics.categorical_crossentropy |
tf.keras |
tf.keras.metrics.CategoricalAccuracy |
tf.keras |
tf.keras.metrics.CategoricalCrossentropy |
tf.keras |
tf.keras.metrics.CategoricalHinge |
tf.keras |
tf.keras.metrics.cosine |
tf.keras |
tf.keras.metrics.cosine_proximity |
tf.keras |
tf.keras.metrics.CosineSimilarity |
tf.keras |
tf.keras.metrics.deserialize |
tf.keras |
tf.keras.metrics.FalseNegatives |
tf.keras |
tf.keras.metrics.FalsePositives |
tf.keras |
tf.keras.metrics.get |
tf.keras |
tf.keras.metrics.Hinge |
tf.keras |
tf.keras.metrics.hinge |
tf.keras |
tf.keras.metrics.KLD |
tf.keras |
tf.keras.metrics.kld |
tf.keras |
tf.keras.metrics.KLDivergence |
tf.keras |
tf.keras.metrics.kullback_leibler_divergence |
tf.keras |
tf.keras.metrics.LogCoshError |
tf.keras |
tf.keras.metrics.MAE |
tf.keras |
tf.keras.metrics.mae |
tf.keras |
tf.keras.metrics.MAPE |
tf.keras |
tf.keras.metrics.mape |
tf.keras |
tf.keras.metrics.Mean |
tf.keras |
tf.keras.metrics.mean_absolute_error |
tf.keras |
tf.keras.metrics.mean_absolute_percentage_error |
tf.keras |
tf.keras.metrics.mean_squared_error |
tf.keras |
tf.keras.metrics.mean_squared_logarithmic_error |
tf.keras |
tf.keras.metrics.MeanAbsoluteError |
tf.keras |
tf.keras.metrics.MeanAbsolutePercentageError |
tf.keras |
tf.keras.metrics.MeanIoU |
tf.keras |
tf.keras.metrics.MeanRelativeError |
tf.keras |
tf.keras.metrics.MeanSquaredError |
tf.keras |
tf.keras.metrics.MeanSquaredLogarithmicError |
tf.keras |
tf.keras.metrics.MeanTensor |
tf.keras |
tf.keras.metrics.Metric |
tf.keras |
tf.keras.metrics.MSE |
tf.keras |
tf.keras.metrics.mse |
tf.keras |
tf.keras.metrics.MSLE |
tf.keras |
tf.keras.metrics.msle |
tf.keras |
tf.keras.metrics.Poisson |
tf.keras |
tf.keras.metrics.poisson |
tf.keras |
tf.keras.metrics.Precision |
tf.keras |
tf.keras.metrics.Recall |
tf.keras |
tf.keras.metrics.RootMeanSquaredError |
tf.keras |
tf.keras.metrics.SensitivityAtSpecificity |
tf.keras |
tf.keras.metrics.serialize |
tf.keras |
tf.keras.metrics.sparse_categorical_crossentropy |
tf.keras |
tf.keras.metrics.sparse_top_k_categorical_accuracy |
tf.keras |
tf.keras.metrics.SparseCategoricalAccuracy |
tf.keras |
tf.keras.metrics.SparseCategoricalCrossentropy |
tf.keras |
tf.keras.metrics.SparseTopKCategoricalAccuracy |
tf.keras |
tf.keras.metrics.SpecificityAtSensitivity |
tf.keras |
tf.keras.metrics.squared_hinge |
tf.keras |
tf.keras.metrics.SquaredHinge |
tf.keras |
tf.keras.metrics.Sum |
tf.keras |
tf.keras.metrics.top_k_categorical_accuracy |
tf.keras |
tf.keras.metrics.TopKCategoricalAccuracy |
tf.keras |
tf.keras.metrics.TrueNegatives |
tf.keras |
tf.keras.metrics.TruePositives |
tf.keras |
tf.keras.mixed_precision.experimental.global_policy |
tf.keras |
tf.keras.mixed_precision.experimental.LossScaleOptimizer |
tf.keras |
tf.keras.mixed_precision.experimental.Policy |
tf.keras |
tf.keras.mixed_precision.experimental.set_policy |
tf.keras |
tf.keras.Model |
tf.keras |
tf.keras.models.clone_model |
tf.keras |
tf.keras.models.load_model |
tf.keras |
tf.keras.models.Model |
tf.keras |
tf.keras.models.model_from_config |
tf.keras |
tf.keras.models.model_from_json |
tf.keras |
tf.keras.models.model_from_yaml |
tf.keras |
tf.keras.models.save_model |
tf.keras |
tf.keras.models.Sequential |
tf.keras |
tf.keras.optimizers.Adadelta |
tf.keras |
tf.keras.optimizers.Adagrad |
tf.keras |
tf.keras.optimizers.Adam |
tf.keras |
tf.keras.optimizers.Adamax |
tf.keras |
tf.keras.optimizers.deserialize |
tf.keras |
tf.keras.optimizers.Ftrl |
tf.keras |
tf.keras.optimizers.get |
tf.keras |
tf.keras.optimizers.Nadam |
tf.keras |
tf.keras.optimizers.Optimizer |
tf.keras |
tf.keras.optimizers.RMSprop |
tf.keras |
tf.keras.optimizers.schedules.deserialize |
tf.keras |
tf.keras.optimizers.schedules.ExponentialDecay |
tf.keras |
tf.keras.optimizers.schedules.InverseTimeDecay |
tf.keras |
tf.keras.optimizers.schedules.PiecewiseConstantDecay |
tf.keras |
tf.keras.optimizers.schedules.PolynomialDecay |
tf.keras |
tf.keras.optimizers.schedules.serialize |
tf.keras |
tf.keras.optimizers.serialize |
tf.keras |
tf.keras.optimizers.SGD |
tf.keras |
tf.keras.preprocessing.image.apply_affine_transform |
tf.keras |
tf.keras.preprocessing.image.apply_channel_shift |
tf.keras |
tf.keras.preprocessing.image.array_to_img |
tf.keras |
tf.keras.preprocessing.image.DirectoryIterator |
tf.keras |
tf.keras.preprocessing.image.ImageDataGenerator |
tf.keras |
tf.keras.preprocessing.image.img_to_array |
tf.keras |
tf.keras.preprocessing.image.Iterator |
tf.keras |
tf.keras.preprocessing.image.load_img |
tf.keras |
tf.keras.preprocessing.image.random_channel_shift |
tf.keras |
tf.keras.preprocessing.image.random_rotation |
tf.keras |
tf.keras.preprocessing.image.random_shear |
tf.keras |
tf.keras.preprocessing.image.random_shift |
tf.keras |
tf.keras.preprocessing.image.random_zoom |
tf.keras |
tf.keras.preprocessing.image.save_img |
tf.keras |
tf.keras.preprocessing.sequence.make_sampling_table |
tf.keras |
tf.keras.preprocessing.sequence.pad_sequences |
tf.keras |
tf.keras.preprocessing.sequence.skipgrams |
tf.keras |
tf.keras.preprocessing.sequence.TimeseriesGenerator |
tf.keras |
tf.keras.preprocessing.text.hashing_trick |
tf.keras |
tf.keras.preprocessing.text.one_hot |
tf.keras |
tf.keras.preprocessing.text.text_to_word_sequence |
tf.keras |
tf.keras.preprocessing.text.Tokenizer |
tf.keras |
tf.keras.regularizers.deserialize |
tf.keras |
tf.keras.regularizers.get |
tf.keras |
tf.keras.regularizers.l1 |
tf.keras |
tf.keras.regularizers.l1_l2 |
tf.keras |
tf.keras.regularizers.L1L2 |
tf.keras |
tf.keras.regularizers.l2 |
tf.keras |
tf.keras.regularizers.Regularizer |
tf.keras |
tf.keras.regularizers.serialize |
tf.keras |
tf.keras.Sequential |
tf.keras |
tf.keras.utils.custom_object_scope |
tf.keras |
tf.keras.utils.CustomObjectScope |
tf.keras |
tf.keras.utils.deserialize_keras_object |
tf.keras |
tf.keras.utils.GeneratorEnqueuer |
tf.keras |
tf.keras.utils.get_custom_objects |
tf.keras |
tf.keras.utils.get_file |
tf.keras |
tf.keras.utils.get_source_inputs |
tf.keras |
tf.keras.utils.HDF5Matrix |
tf.keras |
tf.keras.utils.model_to_dot |
tf.keras |
tf.keras.utils.normalize |
tf.keras |
tf.keras.utils.OrderedEnqueuer |
tf.keras |
tf.keras.utils.plot_model |
tf.keras |
tf.keras.utils.Progbar |
tf.keras |
tf.keras.utils.serialize_keras_object |
tf.keras |
tf.keras.utils.to_categorical |
tf.keras |
tf.keras.wrappers.scikit_learn |
tf.keras |
tf.keras.wrappers.scikit_learn.KerasClassifier |
tf.keras |
tf.keras.wrappers.scikit_learn.KerasRegressor |
tf.layers |
tf.layers.average_pooling2d |
tf.layers |
tf.layers.AveragePooling1D |
tf.layers |
tf.layers.AveragePooling2D |
tf.layers |
tf.layers.AveragePooling3D |
tf.layers |
tf.layers.batch_normalization |
tf.layers |
tf.layers.BatchNormalization |
tf.layers |
tf.layers.Conv1D |
tf.layers |
tf.layers.conv1d |
tf.layers |
tf.layers.Conv2D |
tf.layers |
tf.layers.conv2d |
tf.layers |
tf.layers.conv2d_transpose |
tf.layers |
tf.layers.Conv2DTranspose |
tf.layers |
tf.layers.Conv3D |
tf.layers |
tf.layers.Conv3DTranspose |
tf.layers |
tf.layers.Dense |
tf.layers |
tf.layers.dense |
tf.layers |
tf.layers.Dropout |
tf.layers |
tf.layers.dropout |
tf.layers |
tf.layers.Flatten |
tf.layers |
tf.layers.flatten |
tf.layers |
tf.layers.InputSpec |
tf.layers |
tf.layers.Layer |
tf.layers |
tf.layers.max_pooling1d |
tf.layers |
tf.layers.max_pooling2d |
tf.layers |
tf.layers.MaxPooling1D |
tf.layers |
tf.layers.MaxPooling2D |
tf.layers |
tf.layers.MaxPooling3D |
tf.layers |
tf.layers.separable_conv1d |
tf.layers |
tf.layers.separable_conv2d |
tf.layers |
tf.layers.SeparableConv1D |
tf.layers |
tf.layers.SeparableConv2D |
tf.linalg |
tf.linalg.adjoint |
tf.linalg |
tf.linalg.band_part |
tf.linalg |
tf.linalg.cholesky |
tf.linalg |
tf.linalg.cholesky_solve |
tf.linalg |
tf.linalg.cross |
tf.linalg |
tf.linalg.det |
tf.linalg |
tf.linalg.diag |
tf.linalg |
tf.linalg.diag_part |
tf.linalg |
tf.linalg.eigh |
tf.linalg |
tf.linalg.eigvalsh |
tf.linalg |
tf.linalg.einsum |
tf.linalg |
tf.linalg.expm |
tf.linalg |
tf.linalg.eye |
tf.linalg |
tf.linalg.global_norm |
tf.linalg |
tf.linalg.inv |
tf.linalg |
tf.linalg.l2_normalize |
tf.linalg |
tf.linalg.LinearOperator |
tf.linalg |
tf.linalg.LinearOperatorAdjoint |
tf.linalg |
tf.linalg.LinearOperatorBlockDiag |
tf.linalg |
tf.linalg.LinearOperatorCirculant |
tf.linalg |
tf.linalg.LinearOperatorCirculant2D |
tf.linalg |
tf.linalg.LinearOperatorCirculant3D |
tf.linalg |
tf.linalg.LinearOperatorComposition |
tf.linalg |
tf.linalg.LinearOperatorDiag |
tf.linalg |
tf.linalg.LinearOperatorFullMatrix |
tf.linalg |
tf.linalg.LinearOperatorHouseholder |
tf.linalg |
tf.linalg.LinearOperatorIdentity |
tf.linalg |
tf.linalg.LinearOperatorInversion |
tf.linalg |
tf.linalg.LinearOperatorKronecker |
tf.linalg |
tf.linalg.LinearOperatorLowerTriangular |
tf.linalg |
tf.linalg.LinearOperatorLowRankUpdate |
tf.linalg |
tf.linalg.LinearOperatorScaledIdentity |
tf.linalg |
tf.linalg.LinearOperatorToeplitz |
tf.linalg |
tf.linalg.LinearOperatorZeros |
tf.linalg |
tf.linalg.logdet |
tf.linalg |
tf.linalg.logm |
tf.linalg |
tf.linalg.lstsq |
tf.linalg |
tf.linalg.lu |
tf.linalg |
tf.linalg.matmul |
tf.linalg |
tf.linalg.matrix_rank |
tf.linalg |
tf.linalg.matrix_transpose |
tf.linalg |
tf.linalg.matvec |
tf.linalg |
tf.linalg.norm |
tf.linalg |
tf.linalg.normalize |
tf.linalg |
tf.linalg.pinv |
tf.linalg |
tf.linalg.qr |
tf.linalg |
tf.linalg.set_diag |
tf.linalg |
tf.linalg.slogdet |
tf.linalg |
tf.linalg.solve |
tf.linalg |
tf.linalg.sqrtm |
tf.linalg |
tf.linalg.svd |
tf.linalg |
tf.linalg.tensor_diag |
tf.linalg |
tf.linalg.tensor_diag_part |
tf.linalg |
tf.linalg.tensordot |
tf.linalg |
tf.linalg.trace |
tf.linalg |
tf.linalg.transpose |
tf.linalg |
tf.linalg.triangular_solve |
tf.linalg |
tf.linalg.tridiagonal_matmul |
tf.linalg |
tf.linalg.tridiagonal_solve |
tf.lite |
tf.lite.constants |
tf.lite |
tf.lite.Interpreter |
tf.lite |
tf.lite.OpHint |
tf.lite |
tf.lite.OpHint.OpHintArgumentTracker |
tf.lite |
tf.lite.OpsSet |
tf.lite |
tf.lite.Optimize |
tf.lite |
tf.lite.RepresentativeDataset |
tf.lite |
tf.lite.TargetSpec |
tf.lite |
tf.lite.TFLiteConverter |
tf.lite |
tf.lite.TocoConverter |
tf.logging |
tf.logging.debug |
tf.logging |
tf.logging.error |
tf.logging |
tf.logging.fatal |
tf.logging |
tf.logging.flush |
tf.logging |
tf.logging.get_verbosity |
tf.logging |
tf.logging.info |
tf.logging |
tf.logging.log |
tf.logging |
tf.logging.log_every_n |
tf.logging |
tf.logging.log_first_n |
tf.logging |
tf.logging.log_if |
tf.logging |
tf.logging.set_verbosity |
tf.logging |
tf.logging.TaskLevelStatusMessage |
tf.logging |
tf.logging.vlog |
tf.logging |
tf.logging.warn |
tf.logging |
tf.logging.warning |
tf.lookup |
tf.lookup.experimental.DenseHashTable |
tf.lookup |
tf.lookup.KeyValueTensorInitializer |
tf.lookup |
tf.lookup.StaticHashTable |
tf.lookup |
tf.lookup.StaticVocabularyTable |
tf.lookup |
tf.lookup.TextFileIndex |
tf.lookup |
tf.lookup.TextFileInitializer |
tf.losses |
tf.losses.absolute_difference |
tf.losses |
tf.losses.add_loss |
tf.losses |
tf.losses.compute_weighted_loss |
tf.losses |
tf.losses.cosine_distance |
tf.losses |
tf.losses.get_losses |
tf.losses |
tf.losses.get_regularization_loss |
tf.losses |
tf.losses.get_regularization_losses |
tf.losses |
tf.losses.get_total_loss |
tf.losses |
tf.losses.hinge_loss |
tf.losses |
tf.losses.huber_loss |
tf.losses |
tf.losses.log_loss |
tf.losses |
tf.losses.mean_pairwise_squared_error |
tf.losses |
tf.losses.mean_squared_error |
tf.losses |
tf.losses.Reduction |
tf.losses |
tf.losses.sigmoid_cross_entropy |
tf.losses |
tf.losses.softmax_cross_entropy |
tf.losses |
tf.losses.sparse_softmax_cross_entropy |
tf.manip |
tf.manip.batch_to_space_nd |
tf.manip |
tf.manip.gather_nd |
tf.manip |
tf.manip.reshape |
tf.manip |
tf.manip.reverse |
tf.manip |
tf.manip.roll |
tf.manip |
tf.manip.scatter_nd |
tf.manip |
tf.manip.space_to_batch_nd |
tf.manip |
tf.manip.tile |
tf.math |
tf.math.abs |
tf.math |
tf.math.accumulate_n |
tf.math |
tf.math.acos |
tf.math |
tf.math.acosh |
tf.math |
tf.math.add |
tf.math |
tf.math.add_n |
tf.math |
tf.math.angle |
tf.math |
tf.math.argmax |
tf.math |
tf.math.argmin |
tf.math |
tf.math.asin |
tf.math |
tf.math.asinh |
tf.math |
tf.math.atan |
tf.math |
tf.math.atan2 |
tf.math |
tf.math.atanh |
tf.math |
tf.math.bessel_i0 |
tf.math |
tf.math.bessel_i0e |
tf.math |
tf.math.bessel_i1 |
tf.math |
tf.math.bessel_i1e |
tf.math |
tf.math.betainc |
tf.math |
tf.math.bincount |
tf.math |
tf.math.ceil |
tf.math |
tf.math.confusion_matrix |
tf.math |
tf.math.conj |
tf.math |
tf.math.cos |
tf.math |
tf.math.cosh |
tf.math |
tf.math.count_nonzero |
tf.math |
tf.math.cumprod |
tf.math |
tf.math.cumsum |
tf.math |
tf.math.cumulative_logsumexp |
tf.math |
tf.math.digamma |
tf.math |
tf.math.divide |
tf.math |
tf.math.divide_no_nan |
tf.math |
tf.math.equal |
tf.math |
tf.math.erf |
tf.math |
tf.math.erfc |
tf.math |
tf.math.exp |
tf.math |
tf.math.expm1 |
tf.math |
tf.math.floor |
tf.math |
tf.math.floordiv |
tf.math |
tf.math.floormod |
tf.math |
tf.math.greater |
tf.math |
tf.math.greater_equal |
tf.math |
tf.math.igamma |
tf.math |
tf.math.igammac |
tf.math |
tf.math.imag |
tf.math |
tf.math.in_top_k |
tf.math |
tf.math.invert_permutation |
tf.math |
tf.math.is_finite |
tf.math |
tf.math.is_inf |
tf.math |
tf.math.is_nan |
tf.math |
tf.math.is_non_decreasing |
tf.math |
tf.math.is_strictly_increasing |
tf.math |
tf.math.l2_normalize |
tf.math |
tf.math.lbeta |
tf.math |
tf.math.less |
tf.math |
tf.math.less_equal |
tf.math |
tf.math.lgamma |
tf.math |
tf.math.log |
tf.math |
tf.math.log_sigmoid |
tf.math |
tf.math.log_softmax |
tf.math |
tf.math.log1p |
tf.math |
tf.math.logical_and |
tf.math |
tf.math.logical_not |
tf.math |
tf.math.logical_or |
tf.math |
tf.math.logical_xor |
tf.math |
tf.math.maximum |
tf.math |
tf.math.minimum |
tf.math |
tf.math.mod |
tf.math |
tf.math.multiply |
tf.math |
tf.math.multiply_no_nan |
tf.math |
tf.math.negative |
tf.math |
tf.math.nextafter |
tf.math |
tf.math.not_equal |
tf.math |
tf.math.polygamma |
tf.math |
tf.math.polyval |
tf.math |
tf.math.pow |
tf.math |
tf.math.real |
tf.math |
tf.math.reciprocal |
tf.math |
tf.math.reciprocal_no_nan |
tf.math |
tf.math.reduce_all |
tf.math |
tf.math.reduce_any |
tf.math |
tf.math.reduce_euclidean_norm |
tf.math |
tf.math.reduce_logsumexp |
tf.math |
tf.math.reduce_max |
tf.math |
tf.math.reduce_mean |
tf.math |
tf.math.reduce_min |
tf.math |
tf.math.reduce_prod |
tf.math |
tf.math.reduce_std |
tf.math |
tf.math.reduce_sum |
tf.math |
tf.math.reduce_variance |
tf.math |
tf.math.rint |
tf.math |
tf.math.round |
tf.math |
tf.math.rsqrt |
tf.math |
tf.math.scalar_mul |
tf.math |
tf.math.segment_max |
tf.math |
tf.math.segment_mean |
tf.math |
tf.math.segment_min |
tf.math |
tf.math.segment_prod |
tf.math |
tf.math.segment_sum |
tf.math |
tf.math.sigmoid |
tf.math |
tf.math.sign |
tf.math |
tf.math.sin |
tf.math |
tf.math.sinh |
tf.math |
tf.math.softmax |
tf.math |
tf.math.softplus |
tf.math |
tf.math.softsign |
tf.math |
tf.math.sqrt |
tf.math |
tf.math.square |
tf.math |
tf.math.squared_difference |
tf.math |
tf.math.subtract |
tf.math |
tf.math.tan |
tf.math |
tf.math.tanh |
tf.math |
tf.math.top_k |
tf.math |
tf.math.truediv |
tf.math |
tf.math.unsorted_segment_max |
tf.math |
tf.math.unsorted_segment_mean |
tf.math |
tf.math.unsorted_segment_min |
tf.math |
tf.math.unsorted_segment_prod |
tf.math |
tf.math.unsorted_segment_sqrt_n |
tf.math |
tf.math.unsorted_segment_sum |
tf.math |
tf.math.xdivy |
tf.math |
tf.math.xlogy |
tf.math |
tf.math.zero_fraction |
tf.math |
tf.math.zeta |
tf.metrics |
tf.metrics.accuracy |
tf.metrics |
tf.metrics.auc |
tf.metrics |
tf.metrics.average_precision_at_k |
tf.metrics |
tf.metrics.false_negatives |
tf.metrics |
tf.metrics.false_negatives_at_thresholds |
tf.metrics |
tf.metrics.false_positives |
tf.metrics |
tf.metrics.false_positives_at_thresholds |
tf.metrics |
tf.metrics.mean |
tf.metrics |
tf.metrics.mean_absolute_error |
tf.metrics |
tf.metrics.mean_cosine_distance |
tf.metrics |
tf.metrics.mean_iou |
tf.metrics |
tf.metrics.mean_per_class_accuracy |
tf.metrics |
tf.metrics.mean_relative_error |
tf.metrics |
tf.metrics.mean_squared_error |
tf.metrics |
tf.metrics.mean_tensor |
tf.metrics |
tf.metrics.percentage_below |
tf.metrics |
tf.metrics.precision |
tf.metrics |
tf.metrics.precision_at_k |
tf.metrics |
tf.metrics.precision_at_thresholds |
tf.metrics |
tf.metrics.precision_at_top_k |
tf.metrics |
tf.metrics.recall |
tf.metrics |
tf.metrics.recall_at_k |
tf.metrics |
tf.metrics.recall_at_thresholds |
tf.metrics |
tf.metrics.recall_at_top_k |
tf.metrics |
tf.metrics.root_mean_squared_error |
tf.metrics |
tf.metrics.sensitivity_at_specificity |
tf.metrics |
tf.metrics.sparse_average_precision_at_k |
tf.metrics |
tf.metrics.sparse_precision_at_k |
tf.metrics |
tf.metrics.specificity_at_sensitivity |
tf.metrics |
tf.metrics.true_negatives |
tf.metrics |
tf.metrics.true_negatives_at_thresholds |
tf.metrics |
tf.metrics.true_positives |
tf.metrics |
tf.metrics.true_positives_at_thresholds |
tf.nest |
tf.nest.assert_same_structure |
tf.nest |
tf.nest.flatten |
tf.nest |
tf.nest.is_nested |
tf.nest |
tf.nest.map_structure |
tf.nest |
tf.nest.pack_sequence_as |
tf.nn |
tf.nn.all_candidate_sampler |
tf.nn |
tf.nn.atrous_conv2d |
tf.nn |
tf.nn.atrous_conv2d_transpose |
tf.nn |
tf.nn.avg_pool |
tf.nn |
tf.nn.avg_pool_v2 |
tf.nn |
tf.nn.avg_pool1d |
tf.nn |
tf.nn.avg_pool2d |
tf.nn |
tf.nn.avg_pool3d |
tf.nn |
tf.nn.batch_norm_with_global_normalization |
tf.nn |
tf.nn.batch_normalization |
tf.nn |
tf.nn.bias_add |
tf.nn |
tf.nn.bidirectional_dynamic_rnn |
tf.nn |
tf.nn.collapse_repeated |
tf.nn |
tf.nn.compute_accidental_hits |
tf.nn |
tf.nn.compute_average_loss |
tf.nn |
tf.nn.conv_transpose |
tf.nn |
tf.nn.conv1d |
tf.nn |
tf.nn.conv1d_transpose |
tf.nn |
tf.nn.conv2d |
tf.nn |
tf.nn.conv2d_backprop_filter |
tf.nn |
tf.nn.conv2d_backprop_input |
tf.nn |
tf.nn.conv2d_transpose |
tf.nn |
tf.nn.conv3d |
tf.nn |
tf.nn.conv3d_backprop_filter |
tf.nn |
tf.nn.conv3d_backprop_filter_v2 |
tf.nn |
tf.nn.conv3d_transpose |
tf.nn |
tf.nn.convolution |
tf.nn |
tf.nn.crelu |
tf.nn |
tf.nn.ctc_beam_search_decoder |
tf.nn |
tf.nn.ctc_greedy_decoder |
tf.nn |
tf.nn.ctc_loss |
tf.nn |
tf.nn.ctc_loss_v2 |
tf.nn |
tf.nn.ctc_unique_labels |
tf.nn |
tf.nn.depth_to_space |
tf.nn |
tf.nn.depthwise_conv2d |
tf.nn |
tf.nn.depthwise_conv2d_backprop_filter |
tf.nn |
tf.nn.depthwise_conv2d_backprop_input |
tf.nn |
tf.nn.depthwise_conv2d_native |
tf.nn |
tf.nn.depthwise_conv2d_native_backprop_filter |
tf.nn |
tf.nn.depthwise_conv2d_native_backprop_input |
tf.nn |
tf.nn.dilation2d |
tf.nn |
tf.nn.dropout |
tf.nn |
tf.nn.dynamic_rnn |
tf.nn |
tf.nn.elu |
tf.nn |
tf.nn.embedding_lookup |
tf.nn |
tf.nn.embedding_lookup_sparse |
tf.nn |
tf.nn.erosion2d |
tf.nn |
tf.nn.fixed_unigram_candidate_sampler |
tf.nn |
tf.nn.fractional_avg_pool |
tf.nn |
tf.nn.fractional_max_pool |
tf.nn |
tf.nn.fused_batch_norm |
tf.nn |
tf.nn.in_top_k |
tf.nn |
tf.nn.l2_loss |
tf.nn |
tf.nn.l2_normalize |
tf.nn |
tf.nn.leaky_relu |
tf.nn |
tf.nn.learned_unigram_candidate_sampler |
tf.nn |
tf.nn.local_response_normalization |
tf.nn |
tf.nn.log_poisson_loss |
tf.nn |
tf.nn.log_softmax |
tf.nn |
tf.nn.log_uniform_candidate_sampler |
tf.nn |
tf.nn.lrn |
tf.nn |
tf.nn.max_pool |
tf.nn |
tf.nn.max_pool_v2 |
tf.nn |
tf.nn.max_pool_with_argmax |
tf.nn |
tf.nn.max_pool1d |
tf.nn |
tf.nn.max_pool2d |
tf.nn |
tf.nn.max_pool3d |
tf.nn |
tf.nn.moments |
tf.nn |
tf.nn.nce_loss |
tf.nn |
tf.nn.normalize_moments |
tf.nn |
tf.nn.pool |
tf.nn |
tf.nn.quantized_conv2d |
tf.nn |
tf.nn.raw_rnn |
tf.nn |
tf.nn.relu |
tf.nn |
tf.nn.relu_layer |
tf.nn |
tf.nn.relu6 |
tf.nn |
tf.nn.rnn_cell.BasicLSTMCell |
tf.nn |
tf.nn.rnn_cell.BasicRNNCell |
tf.nn |
tf.nn.rnn_cell.DeviceWrapper |
tf.nn |
tf.nn.rnn_cell.GRUCell |
tf.nn |
tf.nn.rnn_cell.LSTMCell |
tf.nn |
tf.nn.rnn_cell.LSTMStateTuple |
tf.nn |
tf.nn.rnn_cell.MultiRNNCell |
tf.nn |
tf.nn.rnn_cell.ResidualWrapper |
tf.nn |
tf.nn.rnn_cell.RNNCell |
tf.nn |
tf.nn.safe_embedding_lookup_sparse |
tf.nn |
tf.nn.sampled_softmax_loss |
tf.nn |
tf.nn.scale_regularization_loss |
tf.nn |
tf.nn.selu |
tf.nn |
tf.nn.separable_conv2d |
tf.nn |
tf.nn.sigmoid |
tf.nn |
tf.nn.sigmoid_cross_entropy_with_logits |
tf.nn |
tf.nn.softmax |
tf.nn |
tf.nn.softmax_cross_entropy_with_logits |
tf.nn |
tf.nn.softmax_cross_entropy_with_logits_v2 |
tf.nn |
tf.nn.softplus |
tf.nn |
tf.nn.softsign |
tf.nn |
tf.nn.space_to_batch |
tf.nn |
tf.nn.space_to_depth |
tf.nn |
tf.nn.sparse_softmax_cross_entropy_with_logits |
tf.nn |
tf.nn.static_bidirectional_rnn |
tf.nn |
tf.nn.static_rnn |
tf.nn |
tf.nn.sufficient_statistics |
tf.nn |
tf.nn.swish |
tf.nn |
tf.nn.tanh |
tf.nn |
tf.nn.top_k |
tf.nn |
tf.nn.uniform_candidate_sampler |
tf.nn |
tf.nn.weighted_cross_entropy_with_logits |
tf.nn |
tf.nn.weighted_moments |
tf.nn |
tf.nn.with_space_to_batch |
tf.nn |
tf.nn.xw_plus_b |
tf.nn |
tf.nn.zero_fraction |
tf.python_io |
tf.python_io.tf_record_iterator |
tf.python_io |
tf.python_io.TFRecordWriter |
tf.quantization |
tf.quantization.fake_quant_with_min_max_args |
tf.quantization |
tf.quantization.fake_quant_with_min_max_args_gradient |
tf.queue |
tf.queue.FIFOQueue |
tf.queue |
tf.queue.PaddingFIFOQueue |
tf.queue |
tf.queue.PriorityQueue |
tf.queue |
tf.queue.QueueBase |
tf.queue |
tf.queue.RandomShuffleQueue |
tf.ragged |
tf.ragged.boolean_mask |
tf.ragged |
tf.ragged.constant |
tf.ragged |
tf.ragged.constant_value |
tf.ragged |
tf.ragged.map_flat_values |
tf.ragged |
tf.ragged.placeholder |
tf.ragged |
tf.ragged.RaggedTensorValue |
tf.ragged |
tf.ragged.range |
tf.ragged |
tf.ragged.row_splits_to_segment_ids |
tf.ragged |
tf.ragged.segment_ids_to_row_splits |
tf.ragged |
tf.ragged.stack |
tf.ragged |
tf.ragged.stack_dynamic_partitions |
tf.random |
tf.random.all_candidate_sampler |
tf.random |
tf.random.categorical |
tf.random |
tf.random.fixed_unigram_candidate_sampler |
tf.random |
tf.random.gamma |
tf.random |
tf.random.get_seed |
tf.random |
tf.random.learned_unigram_candidate_sampler |
tf.random |
tf.random.log_uniform_candidate_sampler |
tf.random |
tf.random.multinomial |
tf.random |
tf.random.normal |
tf.random |
tf.random.poisson |
tf.random |
tf.random.set_random_seed |
tf.random |
tf.random.shuffle |
tf.random |
tf.random.stateless_categorical |
tf.random |
tf.random.stateless_normal |
tf.random |
tf.random.stateless_truncated_normal |
tf.random |
tf.random.stateless_uniform |
tf.random |
tf.random.truncated_normal |
tf.random |
tf.random.uniform |
tf.random |
tf.random.uniform_candidate_sampler |
tf.random |
tf.random_crop |
tf.random |
tf.random_gamma |
tf.random |
tf.random_normal |
tf.random |
tf.random_normal_initializer |
tf.random |
tf.random_poisson |
tf.random |
tf.random_shuffle |
tf.random |
tf.random_uniform |
tf.random |
tf.random_uniform_initializer |
tf.resource_loader |
tf.resource_loader.get_data_files_path |
tf.saved_model |
tf.saved_model.build_signature_def |
tf.saved_model |
tf.saved_model.build_tensor_info |
tf.saved_model |
tf.saved_model.builder.SavedModelBuilder |
tf.saved_model |
tf.saved_model.contains_saved_model |
tf.saved_model |
tf.saved_model.load |
tf.saved_model |
tf.saved_model.load_v2 |
tf.saved_model |
tf.saved_model.loader.load |
tf.saved_model |
tf.saved_model.loader.maybe_saved_model_directory |
tf.saved_model |
tf.saved_model.maybe_saved_model_directory |
tf.saved_model |
tf.saved_model.predict_signature_def |
tf.saved_model |
tf.saved_model.save |
tf.saved_model |
tf.saved_model.signature_def_utils.build_signature_def |
tf.saved_model |
tf.saved_model.signature_def_utils.predict_signature_def |
tf.saved_model |
tf.saved_model.tag_constants |
tf.saved_model |
tf.saved_model.utils.build_tensor_info |
tf.sets |
tf.sets.difference |
tf.sets |
tf.sets.intersection |
tf.sets |
tf.sets.set_intersection |
tf.sets |
tf.sets.union |
tf.signal |
tf.signal.dct |
tf.signal |
tf.signal.fft |
tf.signal |
tf.signal.fft2d |
tf.signal |
tf.signal.fft3d |
tf.signal |
tf.signal.fftshift |
tf.signal |
tf.signal.frame |
tf.signal |
tf.signal.hamming_window |
tf.signal |
tf.signal.hann_window |
tf.signal |
tf.signal.idct |
tf.signal |
tf.signal.ifft |
tf.signal |
tf.signal.ifft2d |
tf.signal |
tf.signal.ifft3d |
tf.signal |
tf.signal.ifftshift |
tf.signal |
tf.signal.inverse_stft |
tf.signal |
tf.signal.inverse_stft_window_fn |
tf.signal |
tf.signal.irfft |
tf.signal |
tf.signal.irfft2d |
tf.signal |
tf.signal.irfft3d |
tf.signal |
tf.signal.linear_to_mel_weight_matrix |
tf.signal |
tf.signal.mfccs_from_log_mel_spectrograms |
tf.signal |
tf.signal.overlap_and_add |
tf.signal |
tf.signal.rfft |
tf.signal |
tf.signal.rfft2d |
tf.signal |
tf.signal.rfft3d |
tf.signal |
tf.signal.stft |
tf.sparse |
tf.sparse.add |
tf.sparse |
tf.sparse.concat |
tf.sparse |
tf.sparse.cross |
tf.sparse |
tf.sparse.cross_hashed |
tf.sparse |
tf.sparse.expand_dims |
tf.sparse |
tf.sparse.eye |
tf.sparse |
tf.sparse.fill_empty_rows |
tf.sparse |
tf.sparse.from_dense |
tf.sparse |
tf.sparse.mask |
tf.sparse |
tf.sparse.matmul |
tf.sparse |
tf.sparse.maximum |
tf.sparse |
tf.sparse.minimum |
tf.sparse |
tf.sparse.placeholder |
tf.sparse |
tf.sparse.reduce_max |
tf.sparse |
tf.sparse.reduce_max_sparse |
tf.sparse |
tf.sparse.reduce_sum |
tf.sparse |
tf.sparse.reduce_sum_sparse |
tf.sparse |
tf.sparse.reorder |
tf.sparse |
tf.sparse.reset_shape |
tf.sparse |
tf.sparse.reshape |
tf.sparse |
tf.sparse.retain |
tf.sparse |
tf.sparse.segment_mean |
tf.sparse |
tf.sparse.segment_sqrt_n |
tf.sparse |
tf.sparse.segment_sum |
tf.sparse |
tf.sparse.slice |
tf.sparse |
tf.sparse.softmax |
tf.sparse |
tf.sparse.sparse_dense_matmul |
tf.sparse |
tf.sparse.SparseConditionalAccumulator |
tf.sparse |
tf.sparse.SparseTensor |
tf.sparse |
tf.sparse.split |
tf.sparse |
tf.sparse.to_dense |
tf.sparse |
tf.sparse.to_indicator |
tf.sparse |
tf.sparse.transpose |
tf.spectral |
tf.spectral.dct |
tf.spectral |
tf.spectral.fft |
tf.spectral |
tf.spectral.fft2d |
tf.spectral |
tf.spectral.fft3d |
tf.spectral |
tf.spectral.idct |
tf.spectral |
tf.spectral.ifft |
tf.spectral |
tf.spectral.ifft2d |
tf.spectral |
tf.spectral.ifft3d |
tf.spectral |
tf.spectral.irfft |
tf.spectral |
tf.spectral.irfft2d |
tf.spectral |
tf.spectral.irfft3d |
tf.spectral |
tf.spectral.rfft |
tf.spectral |
tf.spectral.rfft2d |
tf.spectral |
tf.spectral.rfft3d |
tf.strings |
tf.strings.as_string |
tf.strings |
tf.strings.bytes_split |
tf.strings |
tf.strings.format |
tf.strings |
tf.strings.join |
tf.strings |
tf.strings.length |
tf.strings |
tf.strings.lower |
tf.strings |
tf.strings.ngrams |
tf.strings |
tf.strings.reduce_join |
tf.strings |
tf.strings.regex_full_match |
tf.strings |
tf.strings.regex_replace |
tf.strings |
tf.strings.split |
tf.strings |
tf.strings.strip |
tf.strings |
tf.strings.substr |
tf.strings |
tf.strings.to_hash_bucket |
tf.strings |
tf.strings.to_hash_bucket_fast |
tf.strings |
tf.strings.to_hash_bucket_strong |
tf.strings |
tf.strings.to_number |
tf.strings |
tf.strings.unicode_decode |
tf.strings |
tf.strings.unicode_decode_with_offsets |
tf.strings |
tf.strings.unicode_encode |
tf.strings |
tf.strings.unicode_script |
tf.strings |
tf.strings.unicode_split |
tf.strings |
tf.strings.unicode_split_with_offsets |
tf.strings |
tf.strings.unicode_transcode |
tf.strings |
tf.strings.unsorted_segment_join |
tf.strings |
tf.strings.upper |
tf.summary |
tf.summary.all_v2_summary_ops |
tf.summary |
tf.summary.audio |
tf.summary |
tf.summary.Event |
tf.summary |
tf.summary.FileWriter |
tf.summary |
tf.summary.histogram |
tf.summary |
tf.summary.image |
tf.summary |
tf.summary.merge |
tf.summary |
tf.summary.merge_all |
tf.summary |
tf.summary.scalar |
tf.summary |
tf.summary.SessionLog |
tf.summary |
tf.summary.Summary |
tf.summary |
tf.summary.Summary.Image |
tf.summary |
tf.summary.Summary.Value |
tf.summary |
tf.summary.tensor_summary |
tf.summary |
tf.summary.text |
tf.sysconfig |
tf.sysconfig.get_compile_flags |
tf.sysconfig |
tf.sysconfig.get_include |
tf.test |
tf.test.assert_equal_graph_def |
tf.test |
tf.test.Benchmark |
tf.test |
tf.test.benchmark_config |
tf.test |
tf.test.compute_gradient |
tf.test |
tf.test.compute_gradient_error |
tf.test |
tf.test.create_local_cluster |
tf.test |
tf.test.get_temp_dir |
tf.test |
tf.test.gpu_device_name |
tf.test |
tf.test.is_built_with_cuda |
tf.test |
tf.test.is_built_with_gpu_support |
tf.test |
tf.test.is_built_with_rocm |
tf.test |
tf.test.is_gpu_available |
tf.test |
tf.test.main |
tf.test |
tf.test.StubOutForTesting |
tf.test |
tf.test.test_src_dir_path |
tf.test |
tf.test.TestCase |
tf.test |
tf.test.TestCase.failureException |
tf.train |
tf.train.AdadeltaOptimizer |
tf.train |
tf.train.AdagradDAOptimizer |
tf.train |
tf.train.AdagradOptimizer |
tf.train |
tf.train.AdamOptimizer |
tf.train |
tf.train.assert_global_step |
tf.train |
tf.train.basic_train_loop |
tf.train |
tf.train.batch |
tf.train |
tf.train.batch_join |
tf.train |
tf.train.BytesList |
tf.train |
tf.train.Checkpoint |
tf.train |
tf.train.checkpoint_exists |
tf.train |
tf.train.CheckpointManager |
tf.train |
tf.train.checkpoints_iterator |
tf.train |
tf.train.CheckpointSaverHook |
tf.train |
tf.train.CheckpointSaverListener |
tf.train |
tf.train.ClusterDef |
tf.train |
tf.train.ClusterSpec |
tf.train |
tf.train.Coordinator |
tf.train |
tf.train.cosine_decay |
tf.train |
tf.train.cosine_decay_restarts |
tf.train |
tf.train.create_global_step |
tf.train |
tf.train.Example |
tf.train |
tf.train.experimental.disable_mixed_precision_graph_rewrite |
tf.train |
tf.train.experimental.DynamicLossScale |
tf.train |
tf.train.experimental.enable_mixed_precision_graph_rewrite |
tf.train |
tf.train.experimental.FixedLossScale |
tf.train |
tf.train.experimental.LossScale |
tf.train |
tf.train.experimental.MixedPrecisionLossScaleOptimizer |
tf.train |
tf.train.experimental.PythonState |
tf.train |
tf.train.exponential_decay |
tf.train |
tf.train.ExponentialMovingAverage |
tf.train |
tf.train.export_meta_graph |
tf.train |
tf.train.Feature |
tf.train |
tf.train.FeatureList |
tf.train |
tf.train.FeatureLists |
tf.train |
tf.train.Features |
tf.train |
tf.train.FeedFnHook |
tf.train |
tf.train.FinalOpsHook |
tf.train |
tf.train.FloatList |
tf.train |
tf.train.FtrlOptimizer |
tf.train |
tf.train.generate_checkpoint_state_proto |
tf.train |
tf.train.get_checkpoint_mtimes |
tf.train |
tf.train.get_checkpoint_state |
tf.train |
tf.train.get_global_step |
tf.train |
tf.train.get_or_create_global_step |
tf.train |
tf.train.global_step |
tf.train |
tf.train.GlobalStepWaiterHook |
tf.train |
tf.train.GradientDescentOptimizer |
tf.train |
tf.train.import_meta_graph |
tf.train |
tf.train.init_from_checkpoint |
tf.train |
tf.train.Int64List |
tf.train |
tf.train.inverse_time_decay |
tf.train |
tf.train.JobDef |
tf.train |
tf.train.JobDef.TasksEntry |
tf.train |
tf.train.latest_checkpoint |
tf.train |
tf.train.linear_cosine_decay |
tf.train |
tf.train.list_variables |
tf.train |
tf.train.load_checkpoint |
tf.train |
tf.train.load_variable |
tf.train |
tf.train.LoggingTensorHook |
tf.train |
tf.train.LooperThread |
tf.train |
tf.train.MomentumOptimizer |
tf.train |
tf.train.MonitoredSession |
tf.train |
tf.train.MonitoredTrainingSession |
tf.train |
tf.train.natural_exp_decay |
tf.train |
tf.train.NewCheckpointReader |
tf.train |
tf.train.noisy_linear_cosine_decay |
tf.train |
tf.train.Optimizer |
tf.train |
tf.train.piecewise_constant |
tf.train |
tf.train.piecewise_constant_decay |
tf.train |
tf.train.polynomial_decay |
tf.train |
tf.train.ProfilerHook |
tf.train |
tf.train.ProximalAdagradOptimizer |
tf.train |
tf.train.ProximalGradientDescentOptimizer |
tf.train |
tf.train.RMSPropOptimizer |
tf.train |
tf.train.Saver |
tf.train |
tf.train.SaverDef |
tf.train |
tf.train.Scaffold |
tf.train |
tf.train.sdca_fprint |
tf.train |
tf.train.SecondOrStepTimer |
tf.train |
tf.train.SequenceExample |
tf.train |
tf.train.ServerDef |
tf.train |
tf.train.SessionCreator |
tf.train |
tf.train.SessionManager |
tf.train |
tf.train.SessionRunArgs |
tf.train |
tf.train.SessionRunContext |
tf.train |
tf.train.SessionRunHook |
tf.train |
tf.train.SessionRunValues |
tf.train |
tf.train.shuffle_batch |
tf.train |
tf.train.SingularMonitoredSession |
tf.train |
tf.train.slice_input_producer |
tf.train |
tf.train.start_queue_runners |
tf.train |
tf.train.StepCounterHook |
tf.train |
tf.train.StopAtStepHook |
tf.train |
tf.train.string_input_producer |
tf.train |
tf.train.summary_iterator |
tf.train |
tf.train.SummarySaverHook |
tf.train |
tf.train.Supervisor |
tf.train |
tf.train.SyncReplicasOptimizer |
tf.train |
tf.train.update_checkpoint_state |
tf.train |
tf.train.VocabInfo |
tf.train |
tf.train.warm_start |
tf.train |
tf.train.WorkerSessionCreator |
tf.train |
tf.train.write_graph |
tf.train |
tf.trainable_variables |
tf.user_ops |
tf.user_ops.my_fact |
不支持的Python API
以下列表是不支持的TensorFlow Python API集合列表,但此列表并不详尽。
模块 |
不支持的Python API |
---|---|
tf |
tf.CriticalSection |
tf |
tf.enable_eager_execution |
tf |
tf.enable_tensor_equality |
tf |
tf.enable_v2_behavior |
tf |
tf.enable_v2_tensorshape |
tf |
tf.executing_eagerly |
tf |
tf.is_finite |
tf |
tf.is_inf |
tf |
tf.is_nan |
tf |
tf.IdentityReader |
tf |
tf.LMDBReader |
tf |
tf.profiler.Profiler |
tf |
tf.WholeFileReader |
tf.config |
tf.config.experimental.get_device_policy |
tf.config |
tf.config.experimental.get_memory_growth |
tf.config |
tf.config.experimental.get_synchronous_execution |
tf.config |
tf.config.experimental.get_virtual_device_configuration |
tf.config |
tf.config.experimental.get_visible_devices |
tf.config |
tf.config.experimental.list_logical_devices |
tf.config |
tf.config.experimental.list_physical_devices |
tf.config |
tf.config.experimental.set_device_policy |
tf.config |
tf.config.experimental.set_memory_growth |
tf.config |
tf.config.experimental.set_synchronous_execution |
tf.config |
tf.config.experimental.set_virtual_device_configuration |
tf.config |
tf.config.experimental.set_visible_devices |
tf.config |
tf.config.experimental.VirtualDeviceConfiguration |
tf.config |
tf.config.experimental_connect_to_cluster |
tf.config |
tf.config.experimental_connect_to_host |
tf.config |
tf.config.experimental_list_devices |
tf.config |
tf.config.experimental_run_functions_eagerly |
tf.config |
tf.config.get_soft_device_placement |
tf.config |
tf.config.optimizer.get_experimental_options |
tf.config |
tf.config.optimizer.get_jit |
tf.config |
tf.config.optimizer.set_experimental_options |
tf.config |
tf.config.optimizer.set_jit |
tf.config |
tf.config.set_soft_device_placement |
tf.config |
tf.config.threading.get_inter_op_parallelism_threads |
tf.config |
tf.config.threading.get_intra_op_parallelism_threads |
tf.config |
tf.config.threading.set_inter_op_parallelism_threads |
tf.config |
tf.config.threading.set_intra_op_parallelism_threads |
tf.distribute |
tf.distribute.experimental.MultiWorkerMirroredStrategy |
tf.keras |
tf.keras.callbacks.TerminateOnNaN |
tf.keras |
tf.keras.utils.multi_gpu_model |
tf.profiler |
tf.profiler.advise |
tf.profiler |
tf.profiler.profile |
tf.profiler |
tf.profiler.ProfileOptionBuilder |
tf.profiler |
tf.profiler.write_op_log |
tf.train |
tf.train.ChiefSessionCreator |
tf.train |
tf.train.NanTensorHook |
tf.train |
tf.train.replica_device_setter |
tf.xla |
tf.xla.experimental.compile |
tf.xla |
tf.xla.experimental.jit_scope |