Export ragged ops.

PiperOrigin-RevId: 224937131

tensorflow/python/ops/ragged/BUILD

@@ -62,6 +62,7 @@ py_library(
         "//tensorflow/python:ragged_array_ops_gen",
         "//tensorflow/python:tensor_shape",
         "//tensorflow/python:tensor_util",
+        "//tensorflow/python:util",
     ],
 )
 
@@ -82,6 +83,7 @@ py_library(
         "//tensorflow/python:ragged_conversion_ops_gen",
         "//tensorflow/python:sparse_tensor",
         "//tensorflow/python:tensor_shape",
+        "//tensorflow/python:util",
     ],
 )
 
@@ -95,6 +97,7 @@ py_library(
         "//tensorflow/python:framework_ops",
         "//tensorflow/python:math_ops",
         "//tensorflow/python:tensor_util",
+        "//tensorflow/python:util",
         "//tensorflow/python/ops/ragged:ragged_tensor",
         "//tensorflow/python/ops/ragged:ragged_tensor_value",
         "//third_party/py/numpy",
@@ -110,6 +113,7 @@ py_library(
         ":ragged_tensor",
         ":ragged_util",
         "//tensorflow/python:framework_ops",
+        "//tensorflow/python:util",
     ],
 )
 
@@ -147,6 +151,7 @@ py_library(
         "//tensorflow/python:math_ops",
         "//tensorflow/python:ragged_math_ops_gen",
         "//tensorflow/python:tensor_util",
+        "//tensorflow/python:util",
     ],
 )
 
@@ -189,6 +194,7 @@ py_library(
         "//tensorflow/python:framework_ops",
         "//tensorflow/python:session",
         "//tensorflow/python:tensor_shape",
+        "//tensorflow/python:util",
     ],
 )
 
@@ -216,7 +222,10 @@ py_library(
     name = "ragged_tensor_value",
     srcs = ["ragged_tensor_value.py"],
     srcs_version = "PY2AND3",
-    deps = ["//third_party/py/numpy"],
+    deps = [
+        "//tensorflow/python:util",
+        "//third_party/py/numpy",
+    ],
 )
 
 py_library(
@@ -245,6 +254,7 @@ py_library(
         "//tensorflow/python:math_ops",
         "//tensorflow/python:tensor_shape",
         "//tensorflow/python:tensor_util",
+        "//tensorflow/python:util",
     ],
 )
 

tensorflow/python/ops/ragged/ragged_factory_ops.py

@@ -24,11 +24,13 @@ from tensorflow.python.framework import constant_op
 from tensorflow.python.framework import ops
 from tensorflow.python.ops.ragged import ragged_tensor
 from tensorflow.python.ops.ragged import ragged_tensor_value
+from tensorflow.python.util.tf_export import tf_export
 
 
 #===============================================================================
 # Op to construct a constant RaggedTensor from a nested Python list.
 #===============================================================================
+@tf_export("ragged.constant")
 def constant(pylist, dtype=None, ragged_rank=None, inner_shape=None, name=None):
   """Constructs a constant RaggedTensor from a nested Python list.
 
@@ -74,6 +76,7 @@ def constant(pylist, dtype=None, ragged_rank=None, inner_shape=None, name=None):
                            inner_shape)
 
 
+@tf_export(v1=["ragged.constant_value"])
 def constant_value(pylist, dtype=None, ragged_rank=None, inner_shape=None):
   """Constructs a RaggedTensorValue from a nested Python list.
 

tensorflow/python/ops/ragged/ragged_functional_ops.py

@@ -21,8 +21,10 @@ from __future__ import print_function
 from tensorflow.python.framework import ops
 from tensorflow.python.ops.ragged import ragged_tensor
 from tensorflow.python.ops.ragged import ragged_util
+from tensorflow.python.util.tf_export import tf_export
 
 
+@tf_export("ragged.map_flat_values")
 def map_flat_values(op, *args, **kwargs):
   """Applies `op` to the inner values of one or more RaggedTensors.
 

tensorflow/python/ops/ragged/ragged_math_ops.py

@@ -31,12 +31,14 @@ from tensorflow.python.ops.ragged import ragged_functional_ops
 from tensorflow.python.ops.ragged import ragged_tensor
 from tensorflow.python.ops.ragged import ragged_util
 from tensorflow.python.ops.ragged import segment_id_ops
+from tensorflow.python.util.tf_export import tf_export
 
 
 #===============================================================================
 # ragged.range
 #===============================================================================
 # pylint: disable=redefined-builtin
+@tf_export('ragged.range')
 def range(starts, limits=None, deltas=1, dtype=None, name=None):
   """Returns a `RaggedTensor` containing the specified sequences of numbers.
 

tensorflow/python/ops/ragged/ragged_tensor.py

@@ -32,6 +32,7 @@ from tensorflow.python.ops import math_ops
 from tensorflow.python.ops.ragged import ragged_tensor_value
 from tensorflow.python.ops.ragged import ragged_util
 from tensorflow.python.ops.ragged import segment_id_ops
+from tensorflow.python.util.tf_export import tf_export
 
 # pylint: disable=protected-access
 _eval_using_default_session = ops._eval_using_default_session
@@ -43,6 +44,7 @@ _eval_using_default_session = ops._eval_using_default_session
 #===============================================================================
 
 
+@tf_export("RaggedTensor")
 class RaggedTensor(object):
   """Represents a ragged tensor (go/ragged).
 

tensorflow/python/ops/ragged/ragged_tensor_value.py

@@ -20,7 +20,10 @@ from __future__ import print_function
 
 import numpy as np
 
+from tensorflow.python.util.tf_export import tf_export
 
+
+@tf_export(v1=["ragged.RaggedTensorValue"])
 class RaggedTensorValue(object):
   """Represents the value of a `RaggedTensor`.
 

tensorflow/python/ops/ragged/segment_id_ops.py

@@ -25,10 +25,12 @@ from tensorflow.python.framework import tensor_util
 from tensorflow.python.ops import array_ops
 from tensorflow.python.ops import math_ops
 from tensorflow.python.ops.ragged import ragged_util
+from tensorflow.python.util.tf_export import tf_export
 
 
 # For background on "segments" and "segment ids", see:
 # https://www.tensorflow.org/api_guides/python/math_ops#Segmentation
+@tf_export("ragged.row_splits_to_segment_ids")
 def row_splits_to_segment_ids(splits, name=None):
   """Generates the segmentation corresponding to a RaggedTensor `splits` vector.
 
@@ -63,6 +65,7 @@ def row_splits_to_segment_ids(splits, name=None):
 
 # For background on "segments" and "segment ids", see:
 # https://www.tensorflow.org/api_guides/python/math_ops#Segmentation
+@tf_export("ragged.segment_ids_to_row_splits")
 def segment_ids_to_row_splits(segment_ids, num_segments=None, name=None):
   """Generates the RaggedTensor `splits` vector corresponding to a segmentation.
 

tensorflow/python/tools/api/generator/api_init_files.bzl

@@ -69,6 +69,7 @@ TENSORFLOW_API_INIT_FILES = [
     "nn/__init__.py",
     "nn/rnn_cell/__init__.py",
     "quantization/__init__.py",
+    "ragged/__init__.py",
     "random/__init__.py",
     "saved_model/__init__.py",
     "sets/__init__.py",

tensorflow/python/tools/api/generator/api_init_files_v1.bzl

@@ -79,6 +79,7 @@ TENSORFLOW_API_INIT_FILES_V1 = [
     "profiler/__init__.py",
     "python_io/__init__.py",
     "quantization/__init__.py",
+    "ragged/__init__.py",
     "random/__init__.py",
     "resource_loader/__init__.py",
     "strings/__init__.py",

tensorflow/python/tools/api/generator/doc_srcs.py

@@ -54,6 +54,7 @@ _TENSORFLOW_DOC_SOURCES = {
     'nn': DocSource(docstring_module_name='ops.nn_ops'),
     'nn.rnn_cell': DocSource(docstring_module_name='ops.rnn_cell'),
     'python_io': DocSource(docstring_module_name='lib.io.python_io'),
+    'ragged': DocSource(docstring_module_name='ops.ragged'),
     'resource_loader': DocSource(
         docstring_module_name='platform.resource_loader'),
     'sets': DocSource(docstring_module_name='ops.sets'),

tensorflow/tools/api/golden/v1/tensorflow.-ragged-tensor.pbtxt

+path: "tensorflow.RaggedTensor"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "flat_values"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "nested_row_splits"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "ragged_rank"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "row_splits"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<type \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'values\', \'row_splits\', \'cached_row_lengths\', \'cached_value_rowids\', \'cached_nrows\', \'internal\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\'], "
+  }
+  member_method {
+    name: "bounding_shape"
+    argspec: "args=[\'self\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_nested_row_lengths"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_row_lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_nested_row_splits"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_row_splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_nested_value_rowids"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_value_rowids\', \'nested_nrows\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_row_lengths"
+    argspec: "args=[\'cls\', \'values\', \'row_lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_row_limits"
+    argspec: "args=[\'cls\', \'values\', \'row_limits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_row_splits"
+    argspec: "args=[\'cls\', \'values\', \'row_splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_row_starts"
+    argspec: "args=[\'cls\', \'values\', \'row_starts\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_sparse"
+    argspec: "args=[\'cls\', \'st_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_tensor"
+    argspec: "args=[\'cls\', \'tensor\', \'lengths\', \'padding\', \'ragged_rank\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\'], "
+  }
+  member_method {
+    name: "from_value_rowids"
+    argspec: "args=[\'cls\', \'values\', \'value_rowids\', \'nrows\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "nested_row_lengths"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "nrows"
+    argspec: "args=[\'self\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
+  }
+  member_method {
+    name: "row_lengths"
+    argspec: "args=[\'self\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], "
+  }
+  member_method {
+    name: "row_limits"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "row_starts"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_list"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_sparse"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_tensor"
+    argspec: "args=[\'self\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "value_rowids"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "with_flat_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.pbtxt

@@ -172,6 +172,10 @@ tf_module {
     name: "QueueBase"
     mtype: "<type \'type\'>"
   }
+  member {
+    name: "RaggedTensor"
+    mtype: "<type \'type\'>"
+  }
   member {
     name: "RandomShuffleQueue"
     mtype: "<type \'type\'>"
@@ -516,6 +520,10 @@ tf_module {
     name: "quint8"
     mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
   }
+  member {
+    name: "ragged"
+    mtype: "<type \'module\'>"
+  }
   member {
     name: "random"
     mtype: "<type \'module\'>"

tensorflow/tools/api/golden/v1/tensorflow.ragged.-ragged-tensor-value.pbtxt

+path: "tensorflow.ragged.RaggedTensorValue"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.ragged.ragged_tensor_value.RaggedTensorValue\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "flat_values"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "nested_row_splits"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "ragged_rank"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "row_splits"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<type \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'values\', \'row_splits\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_list"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v1/tensorflow.ragged.pbtxt

+path: "tensorflow.ragged"
+tf_module {
+  member {
+    name: "RaggedTensorValue"
+    mtype: "<type \'type\'>"
+  }
+  member_method {
+    name: "constant"
+    argspec: "args=[\'pylist\', \'dtype\', \'ragged_rank\', \'inner_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "constant_value"
+    argspec: "args=[\'pylist\', \'dtype\', \'ragged_rank\', \'inner_shape\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "map_flat_values"
+    argspec: "args=[\'op\'], varargs=args, keywords=kwargs, defaults=None"
+  }
+  member_method {
+    name: "range"
+    argspec: "args=[\'starts\', \'limits\', \'deltas\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "row_splits_to_segment_ids"
+    argspec: "args=[\'splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "segment_ids_to_row_splits"
+    argspec: "args=[\'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+}

tensorflow/tools/api/golden/v2/tensorflow.-ragged-tensor.pbtxt

+path: "tensorflow.RaggedTensor"
+tf_class {
+  is_instance: "<class \'tensorflow.python.ops.ragged.ragged_tensor.RaggedTensor\'>"
+  is_instance: "<type \'object\'>"
+  member {
+    name: "dtype"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "flat_values"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "nested_row_splits"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "ragged_rank"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "row_splits"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "shape"
+    mtype: "<type \'property\'>"
+  }
+  member {
+    name: "values"
+    mtype: "<type \'property\'>"
+  }
+  member_method {
+    name: "__init__"
+    argspec: "args=[\'self\', \'values\', \'row_splits\', \'cached_row_lengths\', \'cached_value_rowids\', \'cached_nrows\', \'internal\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'False\'], "
+  }
+  member_method {
+    name: "bounding_shape"
+    argspec: "args=[\'self\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_nested_row_lengths"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_row_lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_nested_row_splits"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_row_splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_nested_value_rowids"
+    argspec: "args=[\'cls\', \'flat_values\', \'nested_value_rowids\', \'nested_nrows\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "from_row_lengths"
+    argspec: "args=[\'cls\', \'values\', \'row_lengths\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_row_limits"
+    argspec: "args=[\'cls\', \'values\', \'row_limits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_row_splits"
+    argspec: "args=[\'cls\', \'values\', \'row_splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_row_starts"
+    argspec: "args=[\'cls\', \'values\', \'row_starts\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_sparse"
+    argspec: "args=[\'cls\', \'st_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "from_tensor"
+    argspec: "args=[\'cls\', \'tensor\', \'lengths\', \'padding\', \'ragged_rank\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'1\', \'None\'], "
+  }
+  member_method {
+    name: "from_value_rowids"
+    argspec: "args=[\'cls\', \'values\', \'value_rowids\', \'nrows\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "nested_row_lengths"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "nrows"
+    argspec: "args=[\'self\', \'out_type\', \'name\'], varargs=None, keywords=None, defaults=[\"<dtype: \'int64\'>\", \'None\'], "
+  }
+  member_method {
+    name: "row_lengths"
+    argspec: "args=[\'self\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\'], "
+  }
+  member_method {
+    name: "row_limits"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "row_starts"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_list"
+    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "to_sparse"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "to_tensor"
+    argspec: "args=[\'self\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+  member_method {
+    name: "value_rowids"
+    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "with_flat_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+  member_method {
+    name: "with_values"
+    argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
+  }
+}

tensorflow/tools/api/golden/v2/tensorflow.pbtxt

@@ -32,6 +32,10 @@ tf_module {
     name: "Operation"
     mtype: "<type \'type\'>"
   }
+  member {
+    name: "RaggedTensor"
+    mtype: "<type \'type\'>"
+  }
   member {
     name: "RegisterGradient"
     mtype: "<type \'type\'>"
@@ -260,6 +264,10 @@ tf_module {
     name: "quint8"
     mtype: "<class \'tensorflow.python.framework.dtypes.DType\'>"
   }
+  member {
+    name: "ragged"
+    mtype: "<type \'module\'>"
+  }
   member {
     name: "random"
     mtype: "<type \'module\'>"

tensorflow/tools/api/golden/v2/tensorflow.ragged.pbtxt

+path: "tensorflow.ragged"
+tf_module {
+  member_method {
+    name: "constant"
+    argspec: "args=[\'pylist\', \'dtype\', \'ragged_rank\', \'inner_shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "map_flat_values"
+    argspec: "args=[\'op\'], varargs=args, keywords=kwargs, defaults=None"
+  }
+  member_method {
+    name: "range"
+    argspec: "args=[\'starts\', \'limits\', \'deltas\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'1\', \'None\', \'None\'], "
+  }
+  member_method {
+    name: "row_splits_to_segment_ids"
+    argspec: "args=[\'splits\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
+  }
+  member_method {
+    name: "segment_ids_to_row_splits"
+    argspec: "args=[\'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
+  }
+}

tensorflow/tools/compatibility/renames_v2.py

@@ -421,6 +421,9 @@ renames = {
     'tf.qr': 'tf.linalg.qr',
     'tf.quantize': 'tf.quantization.quantize',
     'tf.quantized_concat': 'tf.quantization.quantized_concat',
+    'tf.ragged.constant_value': 'tf.compat.v1.ragged.constant_value',
+    'tf.ragged.convert_to_tensor_or_ragged_tensor': 'tf.compat.v1.ragged.convert_to_tensor_or_ragged_tensor',
+    'tf.ragged.RaggedTensorValue': 'tf.compat.v1.ragged.RaggedTensorValue',
     'tf.random.get_seed': 'tf.compat.v1.random.get_seed',
     'tf.random.set_random_seed': 'tf.compat.v1.random.set_random_seed',
     'tf.random_crop': 'tf.image.random_crop',