chore: import upstream snapshot with attribution

tensorflow/cc/saved_model/testdata/AssetModule/assets/test_asset.txt

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+TEST ASSET FILE CONTENTS

tensorflow/cc/saved_model/testdata/CyclicModule/debug/saved_model_debug_info.pb

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+
+N/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/absl/app.py
+m/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/saved_model/save.py
+generate_saved_models.pyb
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tensorflow/cc/saved_model/testdata/StaticHashTableModule/assets/static_hashtable_asset.txt

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+foo
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tensorflow/cc/saved_model/testdata/VarsAndArithmeticObjectGraph/debug/saved_model_debug_info.pb

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+j/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py
+m/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/saved_model/save.py
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/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/saved_model/signature_serialization.py
+i/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/ops/math_ops.py
+N/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/absl/app.py
+o/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py
+./generate_saved_models.py
+k/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py
+q/usr/local/google/home/laurenzo/.local/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.pyg
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tensorflow/cc/saved_model/testdata/VarsAndArithmeticObjectGraph/fingerprint.pb

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tensorflow/cc/saved_model/testdata/chunked_saved_model/non_chunked_model/fingerprint.pb

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+2
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tensorflow/cc/saved_model/testdata/generate_chunked_models.py

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+# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+
+"""Generates GraphDef test data for Merger.
+
+Constructs chunked protos test data containing GraphDefs with lots of nodes and
+large nodes for Merger::Read and Merger::Merge.
+"""
+
+from collections.abc import Sequence
+
+import os
+
+from absl import app
+from absl import flags
+import numpy as np
+
+from tensorflow.python.compat import v2_compat
+from tensorflow.python.eager import def_function
+from tensorflow.python.framework import constant_op
+from tensorflow.python.lib.io import file_io
+from tensorflow.python.module import module
+from tensorflow.python.saved_model import loader_impl
+from tensorflow.python.saved_model import save
+from tensorflow.python.saved_model import save_options
+from tensorflow.python.util import compat
+from tensorflow.tools.proto_splitter import constants
+from tensorflow.tools.proto_splitter.python import saved_model as proto_splitter
+
+SPLITTER_TESTDATA_PATH = flags.DEFINE_string(
+    "path", None, help="Path to testdata directory.")
+
+
+def generate_non_chunked_model(non_chunked_dir: str):
+  root = module.Module()
+  root.c = constant_op.constant(np.random.random_sample([150, 150]))
+  constants.debug_set_max_size(80000)
+  root.get_c = def_function.function(lambda: root.c)
+  signatures = root.get_c.get_concrete_function()
+  save.save(root, non_chunked_dir, signatures=signatures,
+            options=save_options.SaveOptions(experimental_image_format=False))
+
+
+def generate_chunked_model(non_chunked_dir: str, chunked_dir: str):
+  saved_model = loader_impl.parse_saved_model(non_chunked_dir)
+  prefix = file_io.join(compat.as_str(chunked_dir), "saved_model")
+  file_io.write_string_to_file(f"{prefix}.pbtxt", str(saved_model))
+  proto_splitter.SavedModelSplitter(saved_model).write(prefix)
+
+
+def main(argv: Sequence[str]) -> None:
+  if len(argv) > 1:
+    raise app.UsageError("Too many command-line arguments.")
+
+  main_dir = os.path.join(SPLITTER_TESTDATA_PATH.value, "chunked_saved_model")
+  non_chunked_dir = os.path.join(main_dir, "non_chunked_model")
+  generate_non_chunked_model(non_chunked_dir)
+  chunked_dir = os.path.join(main_dir, "chunked_model")
+  generate_chunked_model(non_chunked_dir, chunked_dir)
+
+
+if __name__ == "__main__":
+  v2_compat.enable_v2_behavior()
+  app.run(main)

tensorflow/cc/saved_model/testdata/generate_saved_models.py

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+# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Standalone utility to generate some test saved models."""
+
+import os
+
+from absl import app
+
+from tensorflow.python.client import session as session_lib
+from tensorflow.python.compat import v2_compat
+from tensorflow.python.eager import def_function
+from tensorflow.python.framework import dtypes
+from tensorflow.python.framework import ops
+from tensorflow.python.framework import tensor_spec
+from tensorflow.python.module import module
+from tensorflow.python.ops import io_ops
+from tensorflow.python.ops import lookup_ops
+from tensorflow.python.ops import variables
+from tensorflow.python.platform import test
+from tensorflow.python.saved_model import save_options
+from tensorflow.python.saved_model import saved_model
+from tensorflow.python.trackable import asset
+
+
+class VarsAndArithmeticObjectGraph(module.Module):
+  """Three vars (one in a sub-module) and compute method."""
+
+  def __init__(self):
+    self.x = variables.Variable(1.0, name="variable_x")
+    self.y = variables.Variable(2.0, name="variable_y")
+    self.child = module.Module()
+    self.child.z = variables.Variable(3.0, name="child_variable")
+    self.child.c = ops.convert_to_tensor(5.0)
+
+  @def_function.function(input_signature=[
+      tensor_spec.TensorSpec((), dtypes.float32),
+      tensor_spec.TensorSpec((), dtypes.float32)
+  ])
+  def compute(self, a, b):
+    return (a + self.x) * (b + self.y) / (self.child.z) + self.child.c
+
+
+class ReferencesParent(module.Module):
+
+  def __init__(self, parent):
+    super(ReferencesParent, self).__init__()
+    self.parent = parent
+    self.my_variable = variables.Variable(3., name="MyVariable")
+
+
+# Creates a cyclic object graph.
+class CyclicModule(module.Module):
+
+  def __init__(self):
+    super(CyclicModule, self).__init__()
+    self.child = ReferencesParent(self)
+
+
+class AssetModule(module.Module):
+
+  def __init__(self):
+    self.asset = asset.Asset(
+        test.test_src_dir_path("cc/saved_model/testdata/test_asset.txt"))
+
+  @def_function.function(input_signature=[])
+  def read_file(self):
+    return io_ops.read_file(self.asset)
+
+
+class StaticHashTableModule(module.Module):
+  """A module with an Asset, StaticHashTable, and a lookup function."""
+
+  def __init__(self):
+    self.asset = asset.Asset(
+        test.test_src_dir_path(
+            "cc/saved_model/testdata/static_hashtable_asset.txt"))
+    self.table = lookup_ops.StaticHashTable(
+        lookup_ops.TextFileInitializer(self.asset, dtypes.string,
+                                       lookup_ops.TextFileIndex.WHOLE_LINE,
+                                       dtypes.int64,
+                                       lookup_ops.TextFileIndex.LINE_NUMBER),
+        -1)
+
+  @def_function.function(
+      input_signature=[tensor_spec.TensorSpec(shape=None, dtype=dtypes.string)])
+  def lookup(self, word):
+    return self.table.lookup(word)
+
+
+def get_simple_session():
+  ops.disable_eager_execution()
+  sess = session_lib.Session()
+  variables.Variable(1.)
+  sess.run(variables.global_variables_initializer())
+  return sess
+
+
+MODULE_CTORS = {
+    "VarsAndArithmeticObjectGraph": (VarsAndArithmeticObjectGraph, 2),
+    "CyclicModule": (CyclicModule, 2),
+    "AssetModule": (AssetModule, 2),
+    "StaticHashTableModule": (StaticHashTableModule, 2),
+    "SimpleV1Model": (get_simple_session, 1),
+}
+
+
+def main(args):
+  if len(args) != 3:
+    print("Expected: {export_path} {ModuleName}")
+    print("Allowed ModuleNames:", MODULE_CTORS.keys())
+    return 1
+
+  _, export_path, module_name = args
+  module_ctor, version = MODULE_CTORS.get(module_name)
+  if not module_ctor:
+    print("Expected ModuleName to be one of:", MODULE_CTORS.keys())
+    return 2
+  os.makedirs(export_path)
+
+  tf_module = module_ctor()
+  if version == 2:
+    options = save_options.SaveOptions(save_debug_info=True)
+    saved_model.save(tf_module, export_path, options=options)
+  else:
+    builder = saved_model.builder.SavedModelBuilder(export_path)
+    builder.add_meta_graph_and_variables(tf_module, ["serve"])
+    builder.save()
+
+
+if __name__ == "__main__":
+  v2_compat.enable_v2_behavior()
+  app.run(main)

tensorflow/cc/saved_model/testdata/half_plus_two/00000123/assets/foo.txt

@@ -0,0 +1 @@
+asset-file-contents

tensorflow/cc/saved_model/testdata/half_plus_two_main_op/00000123/assets/foo.txt

@@ -0,0 +1 @@
+asset-file-contents

tensorflow/cc/saved_model/testdata/half_plus_two_pbtxt/00000123/assets/foo.txt

@@ -0,0 +1 @@
+asset-file-contents

tensorflow/cc/saved_model/testdata/half_plus_two_v2/00000123/assets/foo.txt

@@ -0,0 +1 @@
+asset-file-contents

tensorflow/cc/saved_model/testdata/static_hashtable_asset.txt

@@ -0,0 +1,4 @@
+foo
+bar
+baz
+wombat

tensorflow/cc/saved_model/testdata/test_asset.txt

@@ -0,0 +1 @@
+TEST ASSET FILE CONTENTS

tensorflow/cc/saved_model/testdata/x_plus_y_v2_debuginfo/debug/saved_model_debug_info.pb

@@ -0,0 +1,302 @@
+
+ù
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+£aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa//third_party/tensorflow/python/saved_model/signature_serialization.py
+Œaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa//third_party/tensorflow/python/ops/math_ops.py
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+�aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa//third_party/tensorflow/python/saved_model/save.py
+<embedded module '_launcher'>
+»aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa//third_party/tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/shapes_for_arguments.py
+­aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa//third_party/tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/common.py
+Žaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa//third_party/tensorflow/python/eager/function.pya
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