1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
|
/*
Copyright 2016 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.
*/
package op
import (
"fmt"
"testing"
tf "github.com/tensorflow/tensorflow/tensorflow/go"
)
func TestScopeSubScope(t *testing.T) {
var (
root = NewScope()
sub1 = root.SubScope("x")
sub2 = root.SubScope("x")
sub1a = sub1.SubScope("y")
sub2a = sub2.SubScope("y")
)
testdata := []struct {
scope *Scope
name string
}{
{root, "Const"},
{sub1, "x/Const"},
{sub1a, "x/y/Const"},
{sub2, "x_1/Const"},
{sub2a, "x_1/y/Const"},
}
for _, test := range testdata {
c := Const(test.scope, int64(1))
if err := test.scope.Err(); err != nil {
t.Fatalf("%q: %v", test.name, err)
}
if got := c.Op.Name(); got != test.name {
t.Errorf("%q: Got %q", test.name, got)
}
}
}
func TestScopeSubScopeErrors(t *testing.T) {
var (
root = NewScope()
sub = root.SubScope("x")
)
// Error on the root, even after sub has been created should be propagated.
// Force an error by creating a Const which has a type that does not
// translate to the TensorFlow type system.
Const(root, int(1))
if err := root.Err(); err == nil {
t.Fatal("Expected error")
}
if err := sub.Err(); err == nil {
t.Errorf("Root scope had error [%v], but sub-scope did not", root.Err())
}
}
func TestControlDependencies(t *testing.T) {
var (
s = NewScope()
zero = Const(s.SubScope("zero"), int32(0))
one = Const(s.SubScope("one"), int32(1))
variable = VarHandleOp(s, tf.Int32, tf.ScalarShape())
init = AssignVariableOp(s, variable, zero)
update = AssignAddVariableOp(s, variable, one)
readDeps = []*tf.Operation{update}
)
// We intend for `read` to have a control dependency on `update`.
s = s.WithControlDependencies(readDeps...)
// Ensure that Scope.WithControlDependencies makes a copy of the underlying
// array, rather than just holding a slice reference to the same user-supplied
// underlying array. If the copy is correctly performed, overwriting
// readDeps[0] should have no effect on control dependencies for `read`.
readDeps[0] = init
read := ReadVariableOp(s, variable, tf.Int32)
graph, err := s.Finalize()
if err != nil {
t.Fatal(err)
}
sess, err := tf.NewSession(graph, nil)
if err != nil {
t.Fatal(err)
}
if _, err = sess.Run(nil, nil, []*tf.Operation{init}); err != nil {
t.Fatal(err)
}
// Without the control dependency, the read operation may not see the
// update.
for i := int32(0); i < 10; i++ {
out, err := sess.Run(nil, []tf.Output{read}, nil)
if err != nil {
t.Fatal(err)
}
if got, want := out[0].Value().(int32), i+1; got != want {
t.Errorf("Got %d, want %d", got, want)
}
}
}
func TestDevice(t *testing.T) {
s := NewScope()
matrix := Const(s, [][]float32{{3.0}})
s = s.WithDevice("/device:GPU:0")
square := MatMul(s.SubScope("square"), matrix, matrix)
s = s.WithDevice("")
cube := MatMul(s.SubScope("cube"), square, matrix)
if got, want := square.Op.Device(), "/device:GPU:0"; got != want {
t.Errorf("Got %q, want %q", got, want)
}
if got, want := cube.Op.Device(), ""; got != want {
t.Errorf("Got %q, want %q", got, want)
}
}
func TestScopeFinalize(t *testing.T) {
var (
root = NewScope()
sub1 = root.SubScope("x")
sub2 = sub1.SubScope("y")
)
if _, err := sub1.Finalize(); err != nil {
t.Fatal(err)
}
if err := root.Err(); err == nil {
t.Error("Root scope's Err() should be non-nil once Finalize has been called")
}
if err := sub2.Err(); err == nil {
t.Error("Sub scope's Err() should be non-nil once Finalize has been called")
}
}
func TestMultipleGeneratedOps(t *testing.T) {
s := NewScope()
Placeholder(s.SubScope("x"), tf.Float)
Placeholder(s.SubScope("y"), tf.Float)
if _, err := s.Finalize(); err != nil {
t.Fatal(err)
}
}
func TestScopeWithGraph(t *testing.T) {
s1 := NewScope()
Const(s1, "hello")
graph, err := s1.Finalize()
if err != nil {
t.Fatal(err)
}
s2 := NewScopeWithGraph(graph)
Const(s2.SubScope("addition"), "world")
if err := s2.Err(); err != nil {
t.Fatal(err)
}
}
func Example() {
// This example creates a Graph that multiplies a constant matrix with
// a matrix to be provided during graph execution (via
// tensorflow.Session).
s := NewScope()
input := Placeholder(s, tf.Float) // Matrix to be provided to Session.Run
output := MatMul(s,
Const(s, [][]float32{{10}, {20}}), // Constant 2x1 matrix
input,
MatMulTransposeB(true))
if s.Err() != nil {
panic(s.Err())
}
// Shape of the product: The number of rows is fixed by m1, but the
// number of columns will depend on m2, which is unknown.
fmt.Println(output.Shape())
// Output: [2, ?]
}
func ExampleScope_SubScope() {
var (
s = NewScope()
c1 = Const(s.SubScope("x"), int64(1))
c2 = Const(s.SubScope("x"), int64(1))
)
if s.Err() != nil {
panic(s.Err())
}
fmt.Println(c1.Op.Name(), c2.Op.Name())
// Output: x/Const x_1/Const
}
|
