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TensorFlow.NET/src/TensorFlowNET.Core/NumPy/NDArrayRender.cs at master · feelsyt/TensorFlow.NET · GitHub
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TensorFlow.NET
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TensorFlowNET.Core
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NumPy
/
NDArrayRender.cs
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TensorFlow.NET
/
src
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TensorFlowNET.Core
/
NumPy
/
NDArrayRender.cs
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using
System
;
using
System
.
Collections
.
Generic
;
using
System
.
Text
;
using
System
.
Linq
;
namespace
Tensorflow
.
NumPy
{
public
class
NDArrayRender
{
public
static
string
ToString
(
NDArray
array
,
int
maxLength
=
10
)
{
Shape
shape
=
array
.
shape
;
if
(
shape
.
IsScalar
)
return
Render
(
array
)
;
var
s
=
new
StringBuilder
(
)
;
s
.
Append
(
"array("
)
;
Build
(
s
,
array
,
maxLength
)
;
s
.
Append
(
")"
)
;
return
s
.
ToString
(
)
;
}
static
void
Build
(
StringBuilder
s
,
NDArray
array
,
int
maxLength
)
{
var
shape
=
array
.
shape
;
if
(
shape
.
Length
==
1
)
{
s
.
Append
(
"["
)
;
s
.
Append
(
Render
(
array
)
)
;
s
.
Append
(
"]"
)
;
return
;
}
var
len
=
shape
[
0
]
;
s
.
Append
(
"["
)
;
if
(
len
<=
maxLength
)
{
for
(
int
i
=
0
;
i
<
len
;
i
++
)
{
Build
(
s
,
array
[
i
]
,
maxLength
)
;
if
(
i
<
len
-
1
)
{
s
.
Append
(
", "
)
;
s
.
AppendLine
(
)
;
}
}
}
else
{
for
(
int
i
=
0
;
i
<
maxLength
/
2
;
i
++
)
{
Build
(
s
,
array
[
i
]
,
maxLength
)
;
if
(
i
<
len
-
1
)
{
s
.
Append
(
", "
)
;
s
.
AppendLine
(
)
;
}
}
s
.
Append
(
" ... "
)
;
s
.
AppendLine
(
)
;
for
(
int
i
=
(
int
)
len
-
maxLength
/
2
;
i
<
len
;
i
++
)
{
Build
(
s
,
array
[
i
]
,
maxLength
)
;
if
(
i
<
len
-
1
)
{
s
.
Append
(
", "
)
;
s
.
AppendLine
(
)
;
}
}
}
s
.
Append
(
"]"
)
;
}
static
string
Render
(
NDArray
array
)
{
if
(
array
.
buffer
==
IntPtr
.
Zero
)
return
"<null>"
;
var
dtype
=
array
.
dtype
;
var
shape
=
array
.
shape
;
if
(
dtype
==
TF_DataType
.
TF_STRING
)
{
if
(
array
.
rank
==
0
)
return
"'"
+
string
.
Join
(
string
.
Empty
,
array
.
StringBytes
(
)
[
0
]
.
Take
(
256
)
.
Select
(
x
=>
x
<
32
||
x
>
127
?
"
\\
x"
+
x
.
ToString
(
"x"
)
:
Convert
.
ToChar
(
x
)
.
ToString
(
)
)
)
+
"'"
;
else
return
$
"'
{
string
.
Join
(
"', '"
,
array
.
StringData
(
)
.
Take
(
25
)
)
}
'"
;
}
else
if
(
dtype
==
TF_DataType
.
TF_VARIANT
)
{
return
"<unprintable>"
;
}
else
if
(
dtype
==
TF_DataType
.
TF_RESOURCE
)
{
return
"<unprintable>"
;
}
else
{
return
dtype
switch
{
TF_DataType
.
TF_BOOL
=>
Render
(
array
.
ToArray
<
bool
>
(
)
,
array
.
shape
)
,
TF_DataType
.
TF_INT8
=>
Render
(
array
.
ToArray
<
sbyte
>
(
)
,
array
.
shape
)
,
TF_DataType
.
TF_INT32
=>
Render
(
array
.
ToArray
<
int
>
(
)
,
array
.
shape
)
,
TF_DataType
.
TF_INT64
=>
Render
(
array
.
ToArray
<
long
>
(
)
,
array
.
shape
)
,
TF_DataType
.
TF_UINT64
=>
Render
(
array
.
ToArray
<
ulong
>
(
)
,
array
.
shape
)
,
TF_DataType
.
TF_FLOAT
=>
Render
(
array
.
ToArray
<
float
>
(
)
,
array
.
shape
)
,
TF_DataType
.
TF_DOUBLE
=>
Render
(
array
.
ToArray
<
double
>
(
)
,
array
.
shape
)
,
_
=>
Render
(
array
.
ToArray
<
byte
>
(
)
,
array
.
shape
)
}
;
}
}
static
string
Render
<
T
>
(
T
[
]
array
,
Shape
shape
)
{
if
(
array
==
null
)
return
"<null>"
;
if
(
array
.
Length
==
0
)
return
"<empty>"
;
if
(
shape
.
IsScalar
)
return
array
[
0
]
.
ToString
(
)
;
var
display
=
""
;
if
(
array
.
Length
<=
10
)
display
+=
string
.
Join
(
", "
,
array
)
;
else
display
+=
string
.
Join
(
", "
,
array
.
Take
(
5
)
)
+
", ..., "
+
string
.
Join
(
", "
,
array
.
Skip
(
array
.
Length
-
5
)
)
;
return
display
;
}
}
}
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