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tensorflow/tensorflow/go/operation.go at master · codeplaysoftware/tensorflow · GitHub
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operation.go
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operation.go
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/*
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
tensorflow
// #include <stdlib.h>
// #include "tensorflow/c/c_api.h"
import
"C"
import
"unsafe"
// Operation that has been added to the graph.
type
Operation
struct
{
c
*
C.
TF_Operation
// A reference to the Graph to prevent it from
// being GCed while the Operation is still alive.
g
*
Graph
}
// Name returns the name of the operation.
func
(
op
*
Operation
)
Name
()
string
{
return
C
.
GoString
(
C
.
TF_OperationName
(
op
.
c
))
}
// Type returns the name of the operator used by this operation.
func
(
op
*
Operation
)
Type
()
string
{
return
C
.
GoString
(
C
.
TF_OperationOpType
(
op
.
c
))
}
// NumOutputs returns the number of outputs of op.
func
(
op
*
Operation
)
NumOutputs
()
int
{
return
int
(
C
.
TF_OperationNumOutputs
(
op
.
c
))
}
// OutputListSize returns the size of the list of Outputs that is produced by a
// named output of op.
//
// An Operation has multiple named outputs, each of which produces either
// a single tensor or a list of tensors. This method returns the size of
// the list of tensors for a specific output of the operation, identified
// by its name.
func
(
op
*
Operation
)
OutputListSize
(
output
string
) (
int
,
error
) {
cname
:=
C
.
CString
(
output
)
defer
C
.
free
(
unsafe
.
Pointer
(
cname
))
status
:=
newStatus
()
n
:=
C
.
TF_OperationOutputListLength
(
op
.
c
,
cname
,
status
.
c
)
return
int
(
n
),
status
.
Err
()
}
// Output returns the i-th output of op.
func
(
op
*
Operation
)
Output
(
i
int
)
Output
{
return
Output
{
op
,
i
}
}
// Output represents one of the outputs of an operation in the graph. Has a
// DataType (and eventually a Shape). May be passed as an input argument to a
// function for adding operations to a graph, or to a Session's Run() method to
// fetch that output as a tensor.
type
Output
struct
{
// Op is the Operation that produces this Output.
Op
*
Operation
// Index specifies the index of the output within the Operation.
Index
int
}
// DataType returns the type of elements in the tensor produced by p.
func
(
p
Output
)
DataType
()
DataType
{
return
DataType
(
C
.
TF_OperationOutputType
(
p
.
c
()))
}
// Shape returns the (possibly incomplete) shape of the tensor produced p.
func
(
p
Output
)
Shape
()
Shape
{
status
:=
newStatus
()
port
:=
p
.
c
()
ndims
:=
C
.
TF_GraphGetTensorNumDims
(
p
.
Op
.
g
.
c
,
port
,
status
.
c
)
if
err
:=
status
.
Err
();
err
!=
nil
{
// This should not be possible since an error only occurs if
// the operation does not belong to the graph. It should not
// be possible to construct such an Operation object.
return
Shape
{}
}
if
ndims
<
0
{
return
Shape
{}
}
if
ndims
==
0
{
return
ScalarShape
()
}
dims
:=
make
([]C.
int64_t
,
ndims
)
C
.
TF_GraphGetTensorShape
(
p
.
Op
.
g
.
c
,
port
,
&
dims
[
0
],
ndims
,
status
.
c
)
if
err
:=
status
.
Err
();
err
!=
nil
{
// Same as above, should not be possible.
return
Shape
{}
}
ret
:=
Shape
{
dims
:
make
([]
int64
,
ndims
)}
for
i
:=
0
;
i
<
int
(
ndims
);
i
++
{
ret
.
dims
[
i
]
=
int64
(
dims
[
i
])
}
return
ret
}
func
(
p
Output
)
c
() C.
TF_Output
{
if
p
.
Op
==
nil
{
// Attempt to provide a more useful panic message than "nil
// pointer dereference".
panic
(
"nil-Operation. If the Output was created with a Scope object, see Scope.Err() for details."
)
}
return
C.
TF_Output
{
oper
:
p
.
Op
.
c
,
index
:
C
.
int
(
p
.
Index
)}
}
func
(
p
Output
)
canBeAnInput
() {}
// Input is the interface for specifying inputs to an operation being added to
// a Graph.
//
// Operations can have multiple inputs, each of which could be either a tensor
// produced by another operation (an Output object), or a list of tensors
// produced by other operations (an OutputList). Thus, this interface is
// implemented by both Output and OutputList.
//
// See OpSpec.Input for more information.
type
Input
interface
{
// Unexported to preclude implementations outside this package.
canBeAnInput
()
}
// OutputList represents a list of Outputs that can be provided as input to
// another operation.
type
OutputList
[]
Output
func
(
l
OutputList
)
canBeAnInput
() {}
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