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Removing @@ comments from core TensorFlow. They are no longer needed for exporting symbols to the TensorFlow API.
PiperOrigin-RevId: 194426855
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Lines changed: 20 additions & 999 deletions

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‎tensorflow/python/client/client_lib.py‎

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"""Support for launching graphs and executing operations.
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See the @{$python/client} guide.
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@@Session
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@@InteractiveSession
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@@get_default_session
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@@OpError
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@@CancelledError
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@@UnknownError
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@@InvalidArgumentError
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@@DeadlineExceededError
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@@NotFoundError
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@@AlreadyExistsError
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@@PermissionDeniedError
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@@UnauthenticatedError
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@@ResourceExhaustedError
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@@FailedPreconditionError
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@@AbortedError
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@@OutOfRangeError
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@@UnimplementedError
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@@InternalError
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@@UnavailableError
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@@DataLossError
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@@exception_type_from_error_code
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@@error_code_from_exception_type
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@@raise_exception_on_not_ok_status
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"""
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from __future__ import absolute_import

‎tensorflow/python/data/__init__.py‎

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"""`tf.data.Dataset` API for input pipelines.
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See the @{$datasets$Importing Data} Programmer's Guide for an overview.
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@@Dataset
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@@Iterator
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@@FixedLengthRecordDataset
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@@TextLineDataset
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@@TFRecordDataset
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"""
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from __future__ import absolute_import

‎tensorflow/python/framework/constant_op.py‎

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"""Operations that generate constants.
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See the @{$python/constant_op$constants guide}.
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@@zeros
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@@zeros_like
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@@ones
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@@ones_like
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@@fill
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@@constant
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@@linspace
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@@range
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@@random_normal
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@@truncated_normal
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@@random_uniform
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@@random_shuffle
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@@random_crop
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@@multinomial
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@@random_gamma
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@@random_poisson
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@@set_random_seed
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"""
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# Must be separate from array_ops to avoid a cyclic dependency.

‎tensorflow/python/framework/framework_lib.py‎

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# ==============================================================================
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# pylint: disable=unused-import,g-bad-import-order
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"""Classes and functions for building TensorFlow graphs.
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## Core graph data structures
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@@Graph
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@@Operation
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@@Tensor
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## Tensor types
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@@DType
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@@as_dtype
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## Utility functions
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@@device
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@@container
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@@name_scope
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@@colocate_with
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@@control_dependencies
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@@convert_to_tensor
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@@convert_to_tensor_or_indexed_slices
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@@convert_to_tensor_or_sparse_tensor
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@@get_default_graph
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@@reset_default_graph
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@@import_graph_def
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@@load_file_system_library
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@@load_op_library
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@@make_tensor_proto
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@@make_ndarray
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## Graph collections
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@@add_to_collection
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@@add_to_collections
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@@get_collection
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@@get_collection_ref
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@@GraphKeys
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## Defining new operations
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@@RegisterGradient
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@@NotDifferentiable
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@@NoGradient
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@@TensorShape
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@@Dimension
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@@op_scope
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@@get_seed
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## For libraries building on TensorFlow
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@@register_tensor_conversion_function
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"""
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"""Classes and functions for building TensorFlow graphs."""
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from __future__ import absolute_import
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from __future__ import division

‎tensorflow/python/layers/layers.py‎

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# ==============================================================================
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# pylint: disable=line-too-long
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"""This library provides a set of high-level neural networks layers.
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@@Dense
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@@Dropout
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@@Flatten
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@@Conv1D
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@@Conv2D
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@@Conv3D
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@@SeparableConv1D
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@@SeparableConv2D
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@@Conv2DTranspose
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@@Conv3DTranspose
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@@AveragePooling1D
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@@MaxPooling1D
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@@AveragePooling2D
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@@MaxPooling2D
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@@AveragePooling3D
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@@MaxPooling3D
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@@BatchNormalization
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@@Layer
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@@Input
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@@InputSpec
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@@dense
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@@dropout
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@@flatten
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@@conv1d
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@@conv2d
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@@conv3d
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@@separable_conv1d
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@@separable_conv2d
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@@conv2d_transpose
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@@conv3d_transpose
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@@average_pooling1d
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@@max_pooling1d
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@@average_pooling2d
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@@max_pooling2d
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@@average_pooling3d
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@@max_pooling3d
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@@batch_normalization
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"""
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"""This library provides a set of high-level neural networks layers."""
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from __future__ import absolute_import
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from __future__ import division

‎tensorflow/python/lib/io/python_io.py‎

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"""Python functions for directly manipulating TFRecord-formatted files.
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See the @{$python/python_io} guide.
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@@TFRecordWriter
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@@tf_record_iterator
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@@TFRecordCompressionType
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@@TFRecordOptions
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"""
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from __future__ import absolute_import

‎tensorflow/python/ops/array_ops.py‎

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"""Support for manipulating tensors.
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See the @{$python/array_ops} guide.
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@@string_to_number
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@@to_double
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@@to_float
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@@to_bfloat16
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@@to_int32
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@@to_int64
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@@cast
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@@bitcast
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@@saturate_cast
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@@broadcast_dynamic_shape
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@@broadcast_static_shape
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@@shape
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@@shape_n
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@@size
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@@rank
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@@reshape
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@@squeeze
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@@expand_dims
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@@unravel_index
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@@meshgrid
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@@slice
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@@strided_slice
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@@split
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@@tile
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@@pad
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@@concat
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@@stack
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@@parallel_stack
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@@unstack
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@@reverse_sequence
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@@reverse
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@@reverse_v2
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@@transpose
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@@extract_image_patches
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@@space_to_batch_nd
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@@space_to_batch
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@@required_space_to_batch_paddings
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@@batch_to_space_nd
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@@batch_to_space
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@@space_to_depth
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@@depth_to_space
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@@gather
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@@gather_nd
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@@unique_with_counts
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@@scatter_nd
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@@dynamic_partition
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@@dynamic_stitch
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@@boolean_mask
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@@one_hot
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@@sequence_mask
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@@dequantize
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@@quantize
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@@quantize_v2
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@@quantized_concat
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@@setdiff1d
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@@guarantee_const
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@@fake_quant_with_min_max_args
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@@fake_quant_with_min_max_args_gradient
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@@fake_quant_with_min_max_vars
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@@fake_quant_with_min_max_vars_gradient
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@@fake_quant_with_min_max_vars_per_channel
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@@fake_quant_with_min_max_vars_per_channel_gradient
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"""
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from __future__ import absolute_import

‎tensorflow/python/ops/bitwise_ops.py‎

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# limitations under the License.
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# ==============================================================================
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"""Operations for manipulating the binary representations of integers.
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@@bitwise_and
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@@bitwise_or
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@@bitwise_xor
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@@invert
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@@left_shift
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@@right_shift
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"""
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"""Operations for manipulating the binary representations of integers."""
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from __future__ import absolute_import
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from __future__ import division

‎tensorflow/python/ops/check_ops.py‎

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"""Asserts and Boolean Checks.
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See the @{$python/check_ops} guide.
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@@assert_negative
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@@assert_positive
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@@assert_non_negative
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@@assert_non_positive
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@@assert_equal
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@@assert_none_equal
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@@assert_near
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@@assert_less
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@@assert_less_equal
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@@assert_greater
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@@assert_greater_equal
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@@assert_rank
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@@assert_rank_at_least
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@@assert_rank_in
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@@assert_type
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@@assert_integer
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@@assert_proper_iterable
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@@assert_same_float_dtype
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@@assert_scalar
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@@is_non_decreasing
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@@is_numeric_tensor
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@@is_strictly_increasing
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"""
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from __future__ import absolute_import

‎tensorflow/python/ops/confusion_matrix.py‎

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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Confusion matrix related utilities.
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@@remove_squeezable_dimensions
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@@confusion_matrix
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"""
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"""Confusion matrix related utilities."""
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from __future__ import absolute_import
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from __future__ import division

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