Tensorflow- [AggregationMethod Assert CriticalSection DType DeviceSpec GradientTape Graph IndexedSlices IndexedSlicesSpec Module Operation OptionalSpec RaggedTensor RaggedTensorSpec RegisterGradient SparseTensor SparseTensorSpec Tensor TensorArray TensorArraySpec TensorShape TensorSpec TypeSpec UnconnectedGradients Variable VariableAggregation VariableSynchronization _API_MODULE _LazyLoader __all__ __builtins__ __cached__ __compiler_version__ __cxx11_abi_flag__ __cxx_version__ __doc__ __file__ __git_version__ __internal__ __loader__ __monolithic_build__ __name__ __operators__ __package__ __path__ __spec__ __version__ _api _compat _current_file_location _current_module _distutils _estimator_module _fi _initializers _inspect _keras _keras_module _keras_package _kernel_dir _ll _logging _losses _major_api_version _metrics _module_dir _module_util _names_with_underscore _optimizers _os _plugin_dir _running_from_pip_package _s _site _site_packages_dirs _sys _tf2 _tf_api_dir _tf_dir _typing abs acos acosh add add_n approx_top_k argmax argmin argsort as_dtype as_string asin asinh assert_equal assert_greater assert_less assert_rank atan atan2 atanh audio autodiff autograph batch_to_space bfloat16 bitcast bitwise bool boolean_mask broadcast_dynamic_shape broadcast_static_shape broadcast_to case cast clip_by_global_norm clip_by_norm clip_by_value compat complex complex128 complex64 concat cond config constant constant_initializer control_dependencies conv conv2d_backprop_filter_v2 conv2d_backprop_input_v2 convert_to_tensor cos cosh cumsum custom_gradient data debugging device distribute divide double dtensor dtypes dynamic_partition dynamic_stitch edit_distance eig eigvals einsum ensure_shape equal errors estimator executing_eagerly exp expand_dims experimental extract_volume_patches eye feature_column fill fingerprint float16 float32 float64 floor foldl foldr function gather gather_nd get_current_name_scope get_logger get_static_value grad_pass_through gradients graph_util greater greater_equal group guarantee_const half hessians histogram_fixed_width histogram_fixed_width_bins identity identity_n image import_graph_def init_scope initializers inside_function int16 int32 int64 int8 io is_symbolic_tensor is_tensor keras less less_equal linalg linspace lite load_library load_op_library logical_and logical_not logical_or lookup losses make_ndarray make_tensor_proto map_fn math matmul matrix_square_root maximum meshgrid metrics minimum mlir multiply name_scope negative nest newaxis nn no_gradient no_op nondifferentiable_batch_function norm not_equal numpy_function one_hot ones ones_initializer ones_like optimizers pad parallel_stack pow print profiler py_function qint16 qint32 qint8 quantization queue quint16 quint8 ragged ragged_fill_empty_rows ragged_fill_empty_rows_grad random random_index_shuffle random_normal_initializer random_uniform_initializer range rank raw_ops realdiv recompute_grad reduce_all reduce_any reduce_logsumexp reduce_max reduce_mean reduce_min reduce_prod reduce_sum register_tensor_conversion_function repeat required_space_to_batch_paddings reshape resource reverse reverse_sequence roll round saturate_cast saved_model scalar_mul scan scatter_nd searchsorted security sequence_mask sets shape shape_n sigmoid sign signal sin sinh size slice sort space_to_batch space_to_batch_nd sparse split sqrt square squeeze stack stop_gradient strided_slice string strings subtract summary switch_case sysconfig tan tanh tensor_scatter_nd_add tensor_scatter_nd_max tensor_scatter_nd_min tensor_scatter_nd_sub tensor_scatter_nd_update tensordot test tile timestamp tools tpu train transpose truediv truncatediv truncatemod tsl tuple type_spec_from_value types uint16 uint32 uint64 uint8 unique unique_with_counts unravel_index unstack variable_creator_scope variant vectorized_map version where while_loop xla zeros zeros_initializer zeros_like]