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1 /* Copyright 2021 The TensorFlow Authors. All Rights Reserved.
2 
3 Licensed under the Apache License, Version 2.0 (the "License");
4 you may not use this file except in compliance with the License.
5 You may obtain a copy of the License at
6 
7     http://www.apache.org/licenses/LICENSE-2.0
8 
9 Unless required by applicable law or agreed to in writing, software
10 distributed under the License is distributed on an "AS IS" BASIS,
11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 See the License for the specific language governing permissions and
13 limitations under the License.
14 ==============================================================================*/
15 #include "tensorflow/core/data/rewrite_utils.h"
16 
17 #include <memory>
18 #include <string>
19 
20 #include "absl/strings/string_view.h"
21 #include "tensorflow/core/framework/function.h"
22 #include "tensorflow/core/framework/function.pb.h"
23 #include "tensorflow/core/framework/function_testlib.h"
24 #include "tensorflow/core/framework/graph.pb.h"
25 #include "tensorflow/core/framework/node_def.pb.h"
26 #include "tensorflow/core/framework/tensor_shape.h"
27 #include "tensorflow/core/framework/tensor_testutil.h"
28 #include "tensorflow/core/framework/types.pb.h"
29 #include "tensorflow/core/grappler/grappler_item.h"
30 #include "tensorflow/core/lib/gtl/array_slice.h"
31 #include "tensorflow/core/platform/statusor.h"
32 #include "tensorflow/core/platform/test.h"
33 #include "tensorflow/core/platform/types.h"
34 
35 namespace tensorflow {
36 namespace data {
37 namespace {
38 
39 using ::tensorflow::test::AsScalar;
40 using ::tensorflow::test::function::GDef;
41 using ::tensorflow::test::function::NDef;
42 using ::testing::ElementsAre;
43 
GetMapNode(absl::string_view name,absl::string_view input_node_name,absl::string_view function_name)44 NodeDef GetMapNode(absl::string_view name, absl::string_view input_node_name,
45                    absl::string_view function_name) {
46   return NDef(
47       name, /*op=*/"MapDataset", {std::string(input_node_name)},
48       {{"f", FunctionDefHelper::FunctionRef(std::string(function_name))},
49        {"Targuments", {}},
50        {"output_shapes", gtl::ArraySlice<TensorShape>{TensorShape()}},
51        {"output_types", gtl::ArraySlice<DataType>{DT_INT64}}});
52 }
53 
XTimesX()54 FunctionDef XTimesX() {
55   return FunctionDefHelper::Create(
56       /*function_name=*/"XTimesX",
57       /*in_def=*/{"x: int64"},
58       /*out_def=*/{"y: int64"},
59       /*attr_def=*/{},
60       /*node_def=*/{{{"y"}, "Mul", {"x", "x"}, {{"T", DT_INT64}}}},
61       /*ret_def=*/{{"y", "y:z:0"}});
62 }
63 
GetRangeSquareDatasetDef(const int64_t range)64 GraphDef GetRangeSquareDatasetDef(const int64_t range) {
65   return GDef(
66       {NDef("start", "Const", /*inputs=*/{},
67             {{"value", AsScalar<int64_t>(0)}, {"dtype", DT_INT64}}),
68        NDef("stop", "Const", /*inputs=*/{},
69             {{"value", AsScalar<int64_t>(range)}, {"dtype", DT_INT64}}),
70        NDef("step", "Const", /*inputs=*/{},
71             {{"value", AsScalar<int64_t>(1)}, {"dtype", DT_INT64}}),
72        NDef("range", "RangeDataset", /*inputs=*/{"start", "stop", "step"},
73             {{"output_shapes", gtl::ArraySlice<TensorShape>{TensorShape()}},
74              {"output_types", gtl::ArraySlice<DataType>{DT_INT64}}}),
75        GetMapNode("map", "range", "XTimesX"),
76        NDef("dataset", "_Retval", /*inputs=*/{"map"},
77             {{"T", DT_VARIANT}, {"index", 0}})},
78       {XTimesX()});
79 }
80 
TEST(GraphUtilTest,GetFetchNode)81 TEST(GraphUtilTest, GetFetchNode) {
82   GraphDef graph = GetRangeSquareDatasetDef(10);
83   TF_ASSERT_OK_AND_ASSIGN(std::string dataset_node, GetDatasetNode(graph));
84   std::unique_ptr<tensorflow::grappler::GrapplerItem> grappler_item =
85       GetGrapplerItem(&graph, &dataset_node, /*add_fake_sinks=*/false);
86   EXPECT_THAT(grappler_item->fetch, ElementsAre("Sink"));
87 }
88 
TEST(GraphUtilTest,GetFetchNodeDef)89 TEST(GraphUtilTest, GetFetchNodeDef) {
90   GraphDef graph = GetRangeSquareDatasetDef(10);
91   TF_ASSERT_OK_AND_ASSIGN(NodeDef dataset_nodedef, GetDatasetNodeDef(graph));
92   std::string dataset_node = dataset_nodedef.name();
93   std::unique_ptr<tensorflow::grappler::GrapplerItem> grappler_item =
94       GetGrapplerItem(&graph, &dataset_node, /*add_fake_sinks=*/false);
95   EXPECT_THAT(grappler_item->fetch, ElementsAre("Sink"));
96 }
97 
98 struct SelectOptimizationsTestCase {
99   absl::flat_hash_set<string> experiments;
100   absl::flat_hash_set<tstring> optimizations_enabled;
101   absl::flat_hash_set<tstring> optimizations_disabled;
102   absl::flat_hash_set<tstring> optimizations_default;
103   std::vector<string> expected;
104 };
105 
106 class SelectOptimizationsTest
107     : public ::testing::TestWithParam<SelectOptimizationsTestCase> {};
108 
TEST_P(SelectOptimizationsTest,DatasetUtils)109 TEST_P(SelectOptimizationsTest, DatasetUtils) {
110   const SelectOptimizationsTestCase test_case = GetParam();
111   auto optimizations = SelectOptimizations(
112       test_case.experiments, test_case.optimizations_enabled,
113       test_case.optimizations_disabled, test_case.optimizations_default);
114   EXPECT_THAT(std::vector<string>(optimizations.begin(), optimizations.end()),
115               ::testing::UnorderedElementsAreArray(test_case.expected));
116 }
117 
118 INSTANTIATE_TEST_SUITE_P(
119     Test, SelectOptimizationsTest,
120     ::testing::Values(
121         SelectOptimizationsTestCase{
122             /*experiments=*/{}, /*optimizations_enabled=*/{},
123             /*optimizations_disabled=*/{}, /*optimizations_default=*/{},
124             /*expected=*/{}},
125         SelectOptimizationsTestCase{
126             /*experiments=*/{"map_and_batch_fusion"},
127             /*optimizations_enabled=*/{"bar"},
128             /*optimizations_disabled=*/{}, /*optimizations_default=*/{"baz"},
129             /*expected=*/{"map_and_batch_fusion", "bar", "baz"}},
130         SelectOptimizationsTestCase{
131             /*experiments=*/{"this_is_not_an_optimization"},
132             /*optimizations_enabled=*/{"bar"},
133             /*optimizations_disabled=*/{}, /*optimizations_default=*/{"baz"},
134             /*expected=*/{"bar", "baz"}},
135         SelectOptimizationsTestCase{/*experiments=*/{},
136                                     /*optimizations_enabled=*/{"foo"},
137                                     /*optimizations_disabled=*/{"baz"},
138                                     /*optimizations_default=*/{"bar", "baz"},
139                                     /*expected=*/{"foo", "bar"}},
140         SelectOptimizationsTestCase{
141             /*experiments=*/{"foo"}, /*optimizations_enabled=*/{"bar"},
142             /*optimizations_disabled=*/{"foo"},
143             /*optimizations_default=*/{"baz"}, /*expected=*/{"bar", "baz"}}));
144 
145 }  // namespace
146 }  // namespace data
147 }  // namespace tensorflow
148