"""Support for launching graphs and executing operations.
See the @{$python/client} guide.
-
-@@Session
-@@InteractiveSession
-@@get_default_session
-@@OpError
-@@CancelledError
-@@UnknownError
-@@InvalidArgumentError
-@@DeadlineExceededError
-@@NotFoundError
-@@AlreadyExistsError
-@@PermissionDeniedError
-@@UnauthenticatedError
-@@ResourceExhaustedError
-@@FailedPreconditionError
-@@AbortedError
-@@OutOfRangeError
-@@UnimplementedError
-@@InternalError
-@@UnavailableError
-@@DataLossError
-@@exception_type_from_error_code
-@@error_code_from_exception_type
-@@raise_exception_on_not_ok_status
"""
from __future__ import absolute_import
"""`tf.data.Dataset` API for input pipelines.
See the @{$datasets$Importing Data} Programmer's Guide for an overview.
-
-@@Dataset
-@@Iterator
-@@FixedLengthRecordDataset
-@@TextLineDataset
-@@TFRecordDataset
"""
from __future__ import absolute_import
"""Operations that generate constants.
See the @{$python/constant_op$constants guide}.
-
-@@zeros
-@@zeros_like
-@@ones
-@@ones_like
-@@fill
-@@constant
-@@linspace
-@@range
-@@random_normal
-@@truncated_normal
-@@random_uniform
-@@random_shuffle
-@@random_crop
-@@multinomial
-@@random_gamma
-@@random_poisson
-@@set_random_seed
"""
# Must be separate from array_ops to avoid a cyclic dependency.
# ==============================================================================
# pylint: disable=unused-import,g-bad-import-order
-"""Classes and functions for building TensorFlow graphs.
-
-## Core graph data structures
-
-@@Graph
-@@Operation
-@@Tensor
-
-## Tensor types
-
-@@DType
-@@as_dtype
-
-## Utility functions
-
-@@device
-@@container
-@@name_scope
-@@colocate_with
-@@control_dependencies
-@@convert_to_tensor
-@@convert_to_tensor_or_indexed_slices
-@@convert_to_tensor_or_sparse_tensor
-@@get_default_graph
-@@reset_default_graph
-@@import_graph_def
-@@load_file_system_library
-@@load_op_library
-@@make_tensor_proto
-@@make_ndarray
-
-## Graph collections
-
-@@add_to_collection
-@@add_to_collections
-@@get_collection
-@@get_collection_ref
-@@GraphKeys
-
-## Defining new operations
-
-@@RegisterGradient
-@@NotDifferentiable
-@@NoGradient
-@@TensorShape
-@@Dimension
-@@op_scope
-@@get_seed
-
-## For libraries building on TensorFlow
-
-@@register_tensor_conversion_function
-"""
+"""Classes and functions for building TensorFlow graphs."""
from __future__ import absolute_import
from __future__ import division
# ==============================================================================
# pylint: disable=line-too-long
-"""This library provides a set of high-level neural networks layers.
-
-@@Dense
-@@Dropout
-@@Flatten
-@@Conv1D
-@@Conv2D
-@@Conv3D
-@@SeparableConv1D
-@@SeparableConv2D
-@@Conv2DTranspose
-@@Conv3DTranspose
-@@AveragePooling1D
-@@MaxPooling1D
-@@AveragePooling2D
-@@MaxPooling2D
-@@AveragePooling3D
-@@MaxPooling3D
-@@BatchNormalization
-
-@@Layer
-@@Input
-@@InputSpec
-
-@@dense
-@@dropout
-@@flatten
-@@conv1d
-@@conv2d
-@@conv3d
-@@separable_conv1d
-@@separable_conv2d
-@@conv2d_transpose
-@@conv3d_transpose
-@@average_pooling1d
-@@max_pooling1d
-@@average_pooling2d
-@@max_pooling2d
-@@average_pooling3d
-@@max_pooling3d
-@@batch_normalization
-"""
+"""This library provides a set of high-level neural networks layers."""
from __future__ import absolute_import
from __future__ import division
"""Python functions for directly manipulating TFRecord-formatted files.
See the @{$python/python_io} guide.
-
-@@TFRecordWriter
-@@tf_record_iterator
-@@TFRecordCompressionType
-@@TFRecordOptions
"""
from __future__ import absolute_import
"""Support for manipulating tensors.
See the @{$python/array_ops} guide.
-
-@@string_to_number
-@@to_double
-@@to_float
-@@to_bfloat16
-@@to_int32
-@@to_int64
-@@cast
-@@bitcast
-@@saturate_cast
-@@broadcast_dynamic_shape
-@@broadcast_static_shape
-@@shape
-@@shape_n
-@@size
-@@rank
-@@reshape
-@@squeeze
-@@expand_dims
-@@unravel_index
-@@meshgrid
-@@slice
-@@strided_slice
-@@split
-@@tile
-@@pad
-@@concat
-@@stack
-@@parallel_stack
-@@unstack
-@@reverse_sequence
-@@reverse
-@@reverse_v2
-@@transpose
-@@extract_image_patches
-@@space_to_batch_nd
-@@space_to_batch
-@@required_space_to_batch_paddings
-@@batch_to_space_nd
-@@batch_to_space
-@@space_to_depth
-@@depth_to_space
-@@gather
-@@gather_nd
-@@unique_with_counts
-@@scatter_nd
-@@dynamic_partition
-@@dynamic_stitch
-@@boolean_mask
-@@one_hot
-@@sequence_mask
-@@dequantize
-@@quantize
-@@quantize_v2
-@@quantized_concat
-@@setdiff1d
-@@guarantee_const
-@@fake_quant_with_min_max_args
-@@fake_quant_with_min_max_args_gradient
-@@fake_quant_with_min_max_vars
-@@fake_quant_with_min_max_vars_gradient
-@@fake_quant_with_min_max_vars_per_channel
-@@fake_quant_with_min_max_vars_per_channel_gradient
"""
from __future__ import absolute_import
# limitations under the License.
# ==============================================================================
-"""Operations for manipulating the binary representations of integers.
-
-@@bitwise_and
-@@bitwise_or
-@@bitwise_xor
-@@invert
-@@left_shift
-@@right_shift
-"""
+"""Operations for manipulating the binary representations of integers."""
from __future__ import absolute_import
from __future__ import division
"""Asserts and Boolean Checks.
See the @{$python/check_ops} guide.
-
-@@assert_negative
-@@assert_positive
-@@assert_non_negative
-@@assert_non_positive
-@@assert_equal
-@@assert_none_equal
-@@assert_near
-@@assert_less
-@@assert_less_equal
-@@assert_greater
-@@assert_greater_equal
-@@assert_rank
-@@assert_rank_at_least
-@@assert_rank_in
-@@assert_type
-@@assert_integer
-@@assert_proper_iterable
-@@assert_same_float_dtype
-@@assert_scalar
-@@is_non_decreasing
-@@is_numeric_tensor
-@@is_strictly_increasing
"""
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Confusion matrix related utilities.
-
-
-@@remove_squeezable_dimensions
-@@confusion_matrix
-"""
+"""Confusion matrix related utilities."""
from __future__ import absolute_import
from __future__ import division
"""Control Flow Operations.
See the @{$python/control_flow_ops} guide.
-
-@@identity
-@@identity_n
-@@tuple
-@@group
-@@no_op
-@@count_up_to
-@@cond
-@@case
-@@while_loop
-@@logical_and
-@@logical_not
-@@logical_or
-@@logical_xor
-@@equal
-@@not_equal
-@@less
-@@less_equal
-@@greater
-@@greater_equal
-@@where
-@@is_finite
-@@is_inf
-@@is_nan
-@@verify_tensor_all_finite
-@@check_numerics
-@@add_check_numerics_ops
-@@Assert
-@@Print
-@@timestamp
"""
# pylint: disable=g-bad-name
from __future__ import absolute_import
"""Functional operations.
See the @{$python/functional_ops} guide.
-
-@@map_fn
-@@foldl
-@@foldr
-@@scan
"""
from __future__ import absolute_import
"""Histograms.
Please see @{$python/histogram_ops} guide.
-
-@@histogram_fixed_width_bins
-@@histogram_fixed_width
"""
from __future__ import absolute_import
"""Image processing and decoding ops.
See the @{$python/image} guide.
-
-@@decode_bmp
-@@decode_gif
-@@decode_jpeg
-@@decode_and_crop_jpeg
-@@encode_jpeg
-@@extract_jpeg_shape
-@@decode_png
-@@encode_png
-@@is_jpeg
-@@decode_image
-@@resize_images
-@@resize_area
-@@resize_bicubic
-@@resize_bilinear
-@@resize_nearest_neighbor
-@@resize_image_with_crop_or_pad
-@@central_crop
-@@pad_to_bounding_box
-@@crop_to_bounding_box
-@@extract_glimpse
-@@crop_and_resize
-@@flip_up_down
-@@random_flip_up_down
-@@flip_left_right
-@@random_flip_left_right
-@@transpose_image
-@@rot90
-
-@@rgb_to_grayscale
-@@grayscale_to_rgb
-@@hsv_to_rgb
-@@rgb_to_hsv
-@@rgb_to_yiq
-@@yiq_to_rgb
-@@rgb_to_yuv
-@@yuv_to_rgb
-@@convert_image_dtype
-@@adjust_brightness
-@@random_brightness
-@@adjust_contrast
-@@random_contrast
-@@adjust_hue
-@@random_hue
-@@adjust_gamma
-@@adjust_saturation
-@@random_saturation
-@@per_image_standardization
-@@draw_bounding_boxes
-@@non_max_suppression
-@@sample_distorted_bounding_box
-@@total_variation
-@@psnr
-@@ssim
-@@ssim_multiscale
-@@image_gradients
-@@sobel_edges
"""
from __future__ import absolute_import
from __future__ import division
"""Inputs and Readers.
See the @{$python/io_ops} guide.
-
-@@placeholder
-@@placeholder_with_default
-@@sparse_placeholder
-@@ReaderBase
-@@TextLineReader
-@@WholeFileReader
-@@IdentityReader
-@@TFRecordReader
-@@LMDBReader
-@@FixedLengthRecordReader
-@@decode_csv
-@@decode_raw
-@@VarLenFeature
-@@FixedLenFeature
-@@FixedLenSequenceFeature
-@@SparseFeature
-@@parse_example
-@@parse_single_example
-@@parse_tensor
-@@serialize_tensor
-@@decode_json_example
-@@QueueBase
-@@FIFOQueue
-@@PaddingFIFOQueue
-@@RandomShuffleQueue
-@@PriorityQueue
-@@ConditionalAccumulatorBase
-@@ConditionalAccumulator
-@@SparseConditionalAccumulator
-@@matching_files
-@@read_file
-@@write_file
-@@match_filenames_once
-@@limit_epochs
-@@input_producer
-@@range_input_producer
-@@slice_input_producer
-@@string_input_producer
-@@batch
-@@maybe_batch
-@@batch_join
-@@maybe_batch_join
-@@shuffle_batch
-@@maybe_shuffle_batch
-@@shuffle_batch_join
-@@maybe_shuffle_batch_join
"""
from __future__ import absolute_import
"""Loss operations for use in neural networks.
Note: All the losses are added to the `GraphKeys.LOSSES` collection by default.
-
-@@Reduction
-@@absolute_difference
-@@compute_weighted_loss
-@@cosine_distance
-@@hinge_loss
-@@huber_loss
-@@log_loss
-@@mean_pairwise_squared_error
-@@mean_squared_error
-@@sigmoid_cross_entropy
-@@softmax_cross_entropy
-@@sparse_softmax_cross_entropy
-
"""
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Utilities for manipulating the loss collections.
-
-
-@@add_loss
-@@get_losses
-@@get_regularization_loss
-@@get_regularization_losses
-@@get_total_loss
-
-"""
+"""Utilities for manipulating the loss collections."""
from __future__ import absolute_import
from __future__ import division
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Operators for manipulating tensors.
-
-@@roll
-"""
+"""Operators for manipulating tensors."""
from __future__ import absolute_import
from __future__ import division
"""Basic arithmetic operators.
See the @{$python/math_ops} guide.
-
-@@add
-@@subtract
-@@multiply
-@@scalar_mul
-@@div
-@@divide
-@@truediv
-@@floordiv
-@@realdiv
-@@truncatediv
-@@floor_div
-@@truncatemod
-@@floormod
-@@mod
-@@cross
-@@add_n
-@@abs
-@@negative
-@@sign
-@@reciprocal
-@@square
-@@round
-@@sqrt
-@@rsqrt
-@@pow
-@@exp
-@@expm1
-@@log
-@@log1p
-@@sinh
-@@cosh
-@@asinh
-@@acosh
-@@atanh
-@@ceil
-@@floor
-@@maximum
-@@minimum
-@@cos
-@@sin
-@@lbeta
-@@tan
-@@acos
-@@asin
-@@atan
-@@atan2
-@@lgamma
-@@digamma
-@@erf
-@@erfc
-@@squared_difference
-@@igamma
-@@igammac
-@@zeta
-@@polygamma
-@@betainc
-@@rint
-@@diag
-@@diag_part
-@@trace
-@@transpose
-@@eye
-@@matrix_diag
-@@matrix_diag_part
-@@matrix_band_part
-@@matrix_set_diag
-@@matrix_transpose
-@@matmul
-@@norm
-@@matrix_determinant
-@@matrix_inverse
-@@cholesky
-@@cholesky_solve
-@@matrix_solve
-@@matrix_triangular_solve
-@@matrix_solve_ls
-@@qr
-@@self_adjoint_eig
-@@self_adjoint_eigvals
-@@svd
-@@tensordot
-@@complex
-@@conj
-@@imag
-@@angle
-@@real
-@@fft
-@@ifft
-@@fft2d
-@@ifft2d
-@@fft3d
-@@ifft3d
-@@reduce_sum
-@@reduce_prod
-@@reduce_min
-@@reduce_max
-@@reduce_mean
-@@reduce_all
-@@reduce_any
-@@reduce_logsumexp
-@@count_nonzero
-@@accumulate_n
-@@einsum
-@@bincount
-@@cumsum
-@@cumprod
-@@segment_sum
-@@segment_prod
-@@segment_min
-@@segment_max
-@@segment_mean
-@@to_complex128
-@@to_complex64
-@@unsorted_segment_sum
-@@unsorted_segment_max
-@@unsorted_segment_mean
-@@unsorted_segment_min
-@@unsorted_segment_prod
-@@unsorted_segment_sqrt_n
-@@sparse_segment_sum
-@@sparse_segment_mean
-@@sparse_segment_sqrt_n
-@@argmin
-@@argmax
-@@setdiff1d
-@@where
-@@unique
-@@edit_distance
-@@invert_permutation
"""
from __future__ import absolute_import
from __future__ import division
# limitations under the License.
# ==============================================================================
-"""Evaluation-related metrics.
-
-@@accuracy
-@@auc
-@@false_negatives
-@@false_negatives_at_thresholds
-@@false_positives
-@@false_positives_at_thresholds
-@@mean
-@@mean_absolute_error
-@@mean_cosine_distance
-@@mean_iou
-@@mean_per_class_accuracy
-@@mean_relative_error
-@@mean_squared_error
-@@mean_tensor
-@@percentage_below
-@@precision
-@@precision_at_thresholds
-@@recall
-@@recall_at_k
-@@recall_at_top_k
-@@recall_at_thresholds
-@@root_mean_squared_error
-@@sensitivity_at_specificity
-@@sparse_average_precision_at_k
-@@average_precision_at_k
-@@sparse_precision_at_k
-@@precision_at_k
-@@precision_at_top_k
-@@specificity_at_sensitivity
-@@true_negatives
-@@true_negatives_at_thresholds
-@@true_positives
-@@true_positives_at_thresholds
-
-"""
+"""Evaluation-related metrics."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
"""Neural network support.
See the @{$python/nn} guide.
-
-@@relu
-@@relu6
-@@crelu
-@@swish
-@@elu
-@@leaky_relu
-@@selu
-@@softplus
-@@softsign
-@@dropout
-@@bias_add
-@@sigmoid
-@@log_sigmoid
-@@tanh
-@@convolution
-@@conv2d
-@@depthwise_conv2d
-@@depthwise_conv2d_native
-@@separable_conv2d
-@@atrous_conv2d
-@@atrous_conv2d_transpose
-@@conv2d_transpose
-@@conv1d
-@@conv3d
-@@conv3d_transpose
-@@conv2d_backprop_filter
-@@conv2d_backprop_input
-@@conv3d_backprop_filter_v2
-@@depthwise_conv2d_native_backprop_filter
-@@depthwise_conv2d_native_backprop_input
-@@avg_pool
-@@max_pool
-@@max_pool_with_argmax
-@@avg_pool3d
-@@max_pool3d
-@@fractional_avg_pool
-@@fractional_max_pool
-@@pool
-@@dilation2d
-@@erosion2d
-@@with_space_to_batch
-@@l2_normalize
-@@local_response_normalization
-@@sufficient_statistics
-@@normalize_moments
-@@moments
-@@weighted_moments
-@@fused_batch_norm
-@@batch_normalization
-@@batch_norm_with_global_normalization
-@@l2_loss
-@@log_poisson_loss
-@@sigmoid_cross_entropy_with_logits
-@@softmax
-@@log_softmax
-@@softmax_cross_entropy_with_logits
-@@softmax_cross_entropy_with_logits_v2
-@@sparse_softmax_cross_entropy_with_logits
-@@weighted_cross_entropy_with_logits
-@@embedding_lookup
-@@embedding_lookup_sparse
-@@dynamic_rnn
-@@bidirectional_dynamic_rnn
-@@raw_rnn
-@@static_rnn
-@@static_state_saving_rnn
-@@static_bidirectional_rnn
-@@ctc_loss
-@@ctc_greedy_decoder
-@@ctc_beam_search_decoder
-@@top_k
-@@in_top_k
-@@nce_loss
-@@sampled_softmax_loss
-@@uniform_candidate_sampler
-@@log_uniform_candidate_sampler
-@@learned_unigram_candidate_sampler
-@@fixed_unigram_candidate_sampler
-@@compute_accidental_hits
-@@quantized_conv2d
-@@quantized_relu
-@@quantized_relu_x
-@@quantized_max_pool
-@@quantized_avg_pool
"""
from __future__ import absolute_import
from __future__ import division
# limitations under the License.
# ==============================================================================
-"""RNN helpers for TensorFlow models.
-
-
-@@bidirectional_dynamic_rnn
-@@dynamic_rnn
-@@raw_rnn
-@@static_rnn
-@@static_state_saving_rnn
-@@static_bidirectional_rnn
-"""
+"""RNN helpers for TensorFlow models."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Module for constructing RNN Cells.
-
-## Base interface for all RNN Cells
-
-@@RNNCell
-
-## RNN Cells for use with TensorFlow's core RNN methods
-
-@@BasicRNNCell
-@@BasicLSTMCell
-@@GRUCell
-@@LSTMCell
-
-## Classes storing split `RNNCell` state
-
-@@LSTMStateTuple
-
-## RNN Cell wrappers (RNNCells that wrap other RNNCells)
-
-@@MultiRNNCell
-@@DropoutWrapper
-@@DeviceWrapper
-@@ResidualWrapper
-"""
+"""Module for constructing RNN Cells."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# limitations under the License.
# ==============================================================================
-"""Script Language Operators. See the @{$python/script_ops} guide.
-
-@@py_func
-"""
+"""Script Language Operators. See the @{$python/script_ops} guide."""
# pylint: disable=g-bad-name
from __future__ import absolute_import
# limitations under the License.
# ==============================================================================
"""A Dual Coordinate Ascent optimizer library for training fast linear models.
-
-@@sdca_optimizer
-@@sdca_fprint
-@@sdca_shrink_l1
"""
# pylint: disable=g-bad-name
# limitations under the License.
# ==============================================================================
-"""Tensor Handle Operations. See the @{$python/session_ops} guide.
-
-@@get_session_handle
-@@get_session_tensor
-@@delete_session_tensor
-"""
+"""Tensor Handle Operations. See the @{$python/session_ops} guide."""
# pylint: disable=g-bad-name
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Tensorflow set operations.
-
-@@set_size
-@@set_intersection
-@@set_union
-@@set_difference
-"""
+"""Tensorflow set operations."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# ==============================================================================
# pylint: disable=g-short-docstring-punctuation
-"""Sparse Tensor Representation. See the @{$python/sparse_ops} guide.
-
-@@SparseTensor
-@@SparseTensorValue
-@@sparse_to_dense
-@@sparse_tensor_to_dense
-@@sparse_to_indicator
-@@sparse_merge
-@@sparse_concat
-@@sparse_reorder
-@@sparse_reshape
-@@sparse_slice
-@@sparse_split
-@@sparse_retain
-@@sparse_reset_shape
-@@sparse_fill_empty_rows
-@@sparse_transpose
-@@sparse_reduce_max
-@@sparse_reduce_max_sparse
-@@sparse_reduce_sum
-@@sparse_reduce_sum_sparse
-@@sparse_add
-@@sparse_softmax
-@@sparse_tensor_dense_matmul
-@@sparse_maximum
-@@sparse_minimum
-"""
+"""Sparse Tensor Representation. See the @{$python/sparse_ops} guide."""
from __future__ import absolute_import
from __future__ import division
# ==============================================================================
"""Arithmetic Operations that don't fit into math_ops due to dependencies.
-To avoid circular dependencies, some math_ops should go here. Documentation
-callouts, e.g. "@@my_op" should go in math_ops. To the user, these are just
-normal math_ops.
+To avoid circular dependencies, some math_ops should go here.
"""
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Spectral operators (e.g. DCT, FFT, RFFT).
-
-@@dct
-@@fft
-@@ifft
-@@fft2d
-@@ifft2d
-@@fft3d
-@@ifft3d
-@@rfft
-@@irfft
-@@rfft2d
-@@irfft2d
-@@rfft3d
-@@irfft3d
-"""
+"""Spectral operators (e.g. DCT, FFT, RFFT)."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# limitations under the License.
# ==============================================================================
-"""Variables. See the @{$python/state_ops} guide.
-
-@@AUTO_REUSE
-@@IndexedSlices
-@@Saver
-@@Variable
-@@VariableScope
-@@all_variables
-@@assert_variables_initialized
-@@assign
-@@assign_add
-@@assign_sub
-@@constant_initializer
-@@export_meta_graph
-@@fixed_size_partitioner
-@@get_checkpoint_state
-@@get_local_variable
-@@get_variable
-@@get_variable_scope
-@@global_variables
-@@global_variables_initializer
-@@glorot_normal_initializer
-@@glorot_uniform_initializer
-@@import_meta_graph
-@@initialize_all_tables
-@@initialize_all_variables
-@@initialize_local_variables
-@@initialize_variables
-@@is_variable_initialized
-@@latest_checkpoint
-@@local_variables
-@@local_variables_initializer
-@@make_template
-@@min_max_variable_partitioner
-@@model_variables
-@@moving_average_variables
-@@no_regularizer
-@@ones_initializer
-@@orthogonal_initializer
-@@random_normal_initializer
-@@random_uniform_initializer
-@@report_uninitialized_variables
-@@scatter_add
-@@scatter_div
-@@scatter_mul
-@@scatter_nd_add
-@@scatter_nd_sub
-@@scatter_nd_update
-@@scatter_sub
-@@scatter_update
-@@scatter_min
-@@scatter_max
-@@sparse_mask
-@@tables_initializer
-@@trainable_variables
-@@truncated_normal_initializer
-@@uniform_unit_scaling_initializer
-@@update_checkpoint_state
-@@variable_axis_size_partitioner
-@@variable_op_scope
-@@variable_scope
-@@variables_initializer
-@@variance_scaling_initializer
-@@zeros_initializer
-"""
+"""Variables. See the @{$python/state_ops} guide."""
from __future__ import absolute_import
from __future__ import division
"""Operations for working with string Tensors.
See the @{$python/string_ops} guide.
-
-@@regex_replace
-@@string_to_hash_bucket_fast
-@@string_to_hash_bucket_strong
-@@string_to_hash_bucket
-@@reduce_join
-@@string_join
-@@string_split
-@@substr
-@@as_string
-@@encode_base64
-@@decode_base64
"""
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""TensorArray: a dynamically sized array of Tensors.
-
-@@TensorArray
-"""
+"""TensorArray: a dynamically sized array of Tensors."""
# Mixture of pep8 and non-pep8 names, so disable pylint bad-name
# pylint: disable=g-bad-name
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Resource management library.
-
-@@get_data_files_path
-@@get_path_to_datafile
-@@get_root_dir_with_all_resources
-@@load_resource
-@@readahead_file_path
-"""
+"""Resource management library."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# limitations under the License.
# ==============================================================================
-"""System configuration library.
-
-@@get_include
-@@get_lib
-@@get_compile_flags
-@@get_link_flags
-"""
+"""System configuration library."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
Note: `tf.test.mock` is an alias to the python `mock` or `unittest.mock`
depending on the python version.
-
-@@main
-@@TestCase
-@@test_src_dir_path
-@@assert_equal_graph_def
-@@get_temp_dir
-@@is_built_with_cuda
-@@is_gpu_available
-@@gpu_device_name
-@@compute_gradient
-@@compute_gradient_error
-@@create_local_cluster
-
"""
from __future__ import absolute_import
"""Tensor summaries for exporting information about a model.
See the @{$python/summary} guide.
-
-@@FileWriter
-@@FileWriterCache
-@@tensor_summary
-@@scalar
-@@histogram
-@@audio
-@@image
-@@text
-@@merge
-@@merge_all
-@@get_summary_description
-@@PluginAsset
-@@get_plugin_asset
-@@get_all_plugin_assets
"""
from __future__ import absolute_import
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
-"""Some common SessionRunHook classes.
-
-@@LoggingTensorHook
-@@StopAtStepHook
-@@CheckpointSaverHook
-@@StepCounterHook
-@@NanLossDuringTrainingError
-@@NanTensorHook
-@@SummarySaverHook
-@@GlobalStepWaiterHook
-@@ProfilerHook
-"""
+"""Some common SessionRunHook classes."""
from __future__ import absolute_import
from __future__ import division
hooks.after_run() will not be called but hooks.end() will still be called.
If sess.run() raises any other exception then neither hooks.after_run() nor
hooks.end() will be called.
-
-@@SessionRunHook
-@@SessionRunArgs
-@@SessionRunContext
-@@SessionRunValues
"""
from __future__ import absolute_import
"""Support for training models.
See the @{$python/train} guide.
-
-@@Optimizer
-@@GradientDescentOptimizer
-@@AdadeltaOptimizer
-@@AdagradOptimizer
-@@AdagradDAOptimizer
-@@MomentumOptimizer
-@@AdamOptimizer
-@@FtrlOptimizer
-@@ProximalGradientDescentOptimizer
-@@ProximalAdagradOptimizer
-@@RMSPropOptimizer
-@@custom_gradient
-@@gradients
-@@AggregationMethod
-@@GradientTape
-@@stop_gradient
-@@hessians
-@@clip_by_value
-@@clip_by_norm
-@@clip_by_average_norm
-@@clip_by_global_norm
-@@global_norm
-@@cosine_decay
-@@cosine_decay_restarts
-@@linear_cosine_decay
-@@noisy_linear_cosine_decay
-@@exponential_decay
-@@inverse_time_decay
-@@natural_exp_decay
-@@piecewise_constant
-@@polynomial_decay
-@@ExponentialMovingAverage
-@@Coordinator
-@@QueueRunner
-@@LooperThread
-@@add_queue_runner
-@@start_queue_runners
-@@Server
-@@Supervisor
-@@SessionManager
-@@ClusterSpec
-@@replica_device_setter
-@@MonitoredTrainingSession
-@@MonitoredSession
-@@SingularMonitoredSession
-@@Scaffold
-@@SessionCreator
-@@ChiefSessionCreator
-@@WorkerSessionCreator
-@@summary_iterator
-@@SessionRunHook
-@@SessionRunArgs
-@@SessionRunContext
-@@SessionRunValues
-@@LoggingTensorHook
-@@StopAtStepHook
-@@CheckpointSaverHook
-@@CheckpointSaverListener
-@@NewCheckpointReader
-@@StepCounterHook
-@@NanLossDuringTrainingError
-@@NanTensorHook
-@@SummarySaverHook
-@@GlobalStepWaiterHook
-@@FinalOpsHook
-@@FeedFnHook
-@@ProfilerHook
-@@SecondOrStepTimer
-@@global_step
-@@basic_train_loop
-@@get_global_step
-@@get_or_create_global_step
-@@create_global_step
-@@assert_global_step
-@@write_graph
-@@load_checkpoint
-@@load_variable
-@@list_variables
-@@init_from_checkpoint
-@@warm_start
-@@VocabInfo
"""
# Optimizers.
## Conversion routines
In addition to the functions below, `as_str` converts an object to a `str`.
-@@as_bytes
-@@as_text
-@@as_str_any
-@@path_to_str
## Types
The compatibility module also provides the following types:
projects / platform / upstream / tensorflow.git / commitdiff