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TensorFlow.NET/test/TensorFlowNET.UnitTest/GradientTest.cs at master · zews/TensorFlow.NET · GitHub
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TensorFlow.NET
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test
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TensorFlowNET.UnitTest
/
GradientTest.cs
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TensorFlowNET.UnitTest
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GradientTest.cs
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using
Microsoft
.
VisualStudio
.
TestTools
.
UnitTesting
;
using
NumSharp
;
using
System
.
Linq
;
using
Tensorflow
;
using
static
Tensorflow
.
Binding
;
namespace
TensorFlowNET
.
UnitTest
{
[
TestClass
]
public
class
GradientTest
{
[
TestMethod
]
public
void
Gradients
(
)
{
var
graph
=
tf
.
Graph
(
)
.
as_default
(
)
;
var
a
=
tf
.
constant
(
0.0
)
;
var
b
=
2.0
*
a
;
Assert
.
AreEqual
(
b
.
name
,
"mul:0"
)
;
Assert
.
AreEqual
(
b
.
op
.
inputs
[
0
]
.
name
,
"mul/x:0"
)
;
Assert
.
AreEqual
(
b
.
op
.
inputs
[
1
]
.
name
,
"Const:0"
)
;
var
ys
=
a
+
b
;
Assert
.
AreEqual
(
ys
.
name
,
"add:0"
)
;
Assert
.
AreEqual
(
ys
.
op
.
inputs
[
0
]
.
name
,
"Const:0"
)
;
Assert
.
AreEqual
(
ys
.
op
.
inputs
[
1
]
.
name
,
"mul:0"
)
;
var
g
=
tf
.
gradients
(
ys
,
new
Tensor
[
]
{
a
,
b
}
,
stop_gradients
:
new
Tensor
[
]
{
a
,
b
}
)
;
Assert
.
AreEqual
(
g
[
0
]
.
name
,
"gradients/Fill:0"
)
;
Assert
.
AreEqual
(
g
[
1
]
.
name
,
"gradients/Fill:0"
)
;
}
[
TestMethod
]
public
void
Gradient2x
(
)
{
var
graph
=
tf
.
Graph
(
)
.
as_default
(
)
;
using
(
var
sess
=
tf
.
Session
(
graph
)
)
{
var
x
=
tf
.
constant
(
7.0f
)
;
var
y
=
x
*
x
*
tf
.
constant
(
0.1f
)
;
var
grad
=
tf
.
gradients
(
y
,
x
)
;
Assert
.
AreEqual
(
grad
[
0
]
.
name
,
"gradients/AddN:0"
)
;
float
r
=
sess
.
run
(
grad
[
0
]
)
;
Assert
.
AreEqual
(
r
,
1.4f
)
;
}
}
[
TestMethod
]
public
void
Gradient3x
(
)
{
var
graph
=
tf
.
Graph
(
)
.
as_default
(
)
;
tf_with
(
tf
.
Session
(
graph
)
,
sess
=>
{
var
x
=
tf
.
constant
(
7.0f
)
;
var
y
=
x
*
x
*
x
*
tf
.
constant
(
0.1f
)
;
var
grad
=
tf
.
gradients
(
y
,
x
)
;
Assert
.
AreEqual
(
grad
[
0
]
.
name
,
"gradients/AddN:0"
)
;
float
r
=
sess
.
run
(
grad
[
0
]
)
;
Assert
.
AreEqual
(
r
,
14.700001f
)
;
}
)
;
}
[
TestMethod
]
public
void
StridedSlice
(
)
{
var
graph
=
tf
.
Graph
(
)
.
as_default
(
)
;
var
t
=
tf
.
constant
(
np
.
array
(
new
int
[
,
,
]
{
{
{
11
,
12
,
13
}
,
{
21
,
22
,
23
}
}
,
{
{
31
,
32
,
33
}
,
{
41
,
42
,
43
}
}
,
{
{
51
,
52
,
53
}
,
{
61
,
62
,
63
}
}
}
)
)
;
var
slice
=
tf
.
strided_slice
(
t
,
begin
:
new
[
]
{
0
,
0
,
0
}
,
end
:
new
[
]
{
3
,
2
,
3
}
,
strides
:
new
[
]
{
2
,
2
,
2
}
)
;
var
y
=
slice
+
slice
;
var
g
=
tf
.
gradients
(
y
,
new
Tensor
[
]
{
slice
,
slice
}
)
;
using
(
var
sess
=
tf
.
Session
(
graph
)
)
{
var
r
=
sess
.
run
(
slice
)
;
Assert
.
IsTrue
(
Enumerable
.
SequenceEqual
(
r
.
shape
,
new
[
]
{
2
,
1
,
2
}
)
)
;
Assert
.
IsTrue
(
Enumerable
.
SequenceEqual
(
r
[
0
]
.
GetData
<
int
>
(
)
,
new
[
]
{
11
,
13
}
)
)
;
Assert
.
IsTrue
(
Enumerable
.
SequenceEqual
(
r
[
1
]
.
GetData
<
int
>
(
)
,
new
[
]
{
51
,
53
}
)
)
;
}
}
}
}
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