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体验新版 GitCode,发现更多精彩内容 >>
提交
e0436ad8
编写于
9月 11, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
refine fusion lstm infershape
上级
94b66bdb
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
260 addition
and
184 deletion
+260
-184
paddle/fluid/framework/operator.cc
paddle/fluid/framework/operator.cc
+119
-158
paddle/fluid/framework/shape_runtime_infer.h
paddle/fluid/framework/shape_runtime_infer.h
+86
-0
paddle/fluid/operators/fusion_lstm_op.cc
paddle/fluid/operators/fusion_lstm_op.cc
+55
-26
未找到文件。
paddle/fluid/framework/operator.cc
浏览文件 @
e0436ad8
...
...
@@ -21,6 +21,7 @@ limitations under the License. */
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/shape_inference.h"
#include "paddle/fluid/framework/shape_runtime_infer.h"
#include "paddle/fluid/framework/var_type.h"
#include "paddle/fluid/platform/profiler.h"
...
...
@@ -458,187 +459,147 @@ bool OpSupportGPU(const std::string& op_type) {
return
false
;
}
class
RuntimeInferShapeContext
:
public
InferShapeContext
{
public:
RuntimeInferShapeContext
(
const
OperatorBase
&
op
,
const
Scope
&
scope
)
:
op_
(
op
),
scope_
(
scope
)
{}
bool
HasInput
(
const
std
::
string
&
name
)
const
override
{
if
(
!
op_
.
HasInputs
(
name
))
{
return
false
;
}
auto
&
ins
=
Inputs
(
name
);
size_t
length
=
ins
.
size
();
if
(
length
==
0
)
{
return
false
;
}
PADDLE_ENFORCE_EQ
(
length
,
1UL
,
"Input %s should not have more than one inputs"
,
name
);
auto
ipt
=
ins
[
0
];
auto
*
var
=
ipt
==
kEmptyVarName
?
nullptr
:
scope_
.
FindVar
(
ipt
);
return
var
!=
nullptr
;
bool
RuntimeInferShapeContext
::
HasInput
(
const
std
::
string
&
name
)
const
{
if
(
!
op_
.
HasInputs
(
name
))
{
return
false
;
}
bool
HasOutput
(
const
std
::
string
&
name
)
const
override
{
if
(
!
op_
.
HasOutputs
(
name
))
{
return
false
;
}
auto
&
outs
=
Outputs
(
name
);
size_t
length
=
outs
.
size
();
if
(
length
==
0
)
{
return
false
;
}
PADDLE_ENFORCE_EQ
(
length
,
1UL
,
"Output %s should not have more than one inputs"
,
name
);
auto
ipt
=
outs
[
0
];
auto
*
var
=
ipt
==
kEmptyVarName
?
nullptr
:
scope_
.
FindVar
(
ipt
);
return
var
!=
nullptr
;
auto
&
ins
=
Inputs
(
name
);
size_t
length
=
ins
.
size
();
if
(
length
==
0
)
{
return
false
;
}
PADDLE_ENFORCE_EQ
(
length
,
1UL
,
"Input %s should not have more than one inputs"
,
name
);
auto
ipt
=
ins
[
0
];
auto
*
var
=
ipt
==
kEmptyVarName
?
nullptr
:
scope_
.
FindVar
(
ipt
);
return
var
!=
nullptr
;
}
bool
HasInputs
(
const
std
::
string
&
name
)
const
override
{
if
(
!
op_
.
HasInputs
(
name
))
{
return
false
;
}
auto
inputs
=
op_
.
Inputs
(
name
);
if
(
inputs
.
empty
())
{
return
false
;
}
for
(
auto
&
input
:
inputs
)
{
if
(
scope_
.
FindVar
(
input
)
==
nullptr
)
{
return
false
;
}
}
return
true
;
bool
RuntimeInferShapeContext
::
HasOutput
(
const
std
::
string
&
name
)
const
{
if
(
!
op_
.
HasOutputs
(
name
))
{
return
false
;
}
auto
&
outs
=
Outputs
(
name
);
size_t
length
=
outs
.
size
();
if
(
length
==
0
)
{
return
false
;
}
PADDLE_ENFORCE_EQ
(
length
,
1UL
,
"Output %s should not have more than one inputs"
,
name
);
auto
ipt
=
outs
[
0
];
auto
*
var
=
ipt
==
kEmptyVarName
?
nullptr
:
scope_
.
FindVar
(
ipt
);
return
var
!=
nullptr
;
}
bool
HasOutputs
(
const
std
::
string
&
name
)
const
override
{
if
(
!
op_
.
HasOutputs
(
name
))
{
return
false
;
}
auto
outputs
=
op_
.
Outputs
(
name
);
if
(
outputs
.
empty
())
{
bool
RuntimeInferShapeContext
::
HasInputs
(
const
std
::
string
&
name
)
const
{
if
(
!
op_
.
HasInputs
(
name
))
{
return
false
;
}
auto
inputs
=
op_
.
Inputs
(
name
);
if
(
inputs
.
empty
())
{
return
false
;
}
for
(
auto
&
input
:
inputs
)
{
if
(
scope_
.
FindVar
(
input
)
==
nullptr
)
{
return
false
;
}
for
(
auto
&
output
:
outputs
)
{
if
(
scope_
.
FindVar
(
output
)
==
nullptr
)
{
return
false
;
}
}
return
true
;
}
return
true
;
}
AttrReader
Attrs
()
const
override
{
return
AttrReader
(
op_
.
Attrs
());
}
const
std
::
vector
<
std
::
string
>&
Inputs
(
const
std
::
string
&
name
)
const
override
{
return
op_
.
Inputs
(
name
);
bool
RuntimeInferShapeContext
::
HasOutputs
(
const
std
::
string
&
name
)
const
{
if
(
!
op_
.
HasOutputs
(
name
))
{
return
false
;
}
const
std
::
vector
<
std
::
string
>&
Outputs
(
const
std
::
string
&
name
)
const
override
{
return
op_
.
Outputs
(
name
);
auto
outputs
=
op_
.
Outputs
(
name
);
if
(
outputs
.
empty
())
{
return
false
;
}
for
(
auto
&
output
:
outputs
)
{
if
(
scope_
.
FindVar
(
output
)
==
nullptr
)
{
return
false
;
}
}
return
true
;
}
void
ShareLoD
(
const
std
::
string
&
in
,
const
std
::
string
&
out
,
size_t
i
=
0
,
size_t
j
=
0
)
const
override
{
PADDLE_ENFORCE_LT
(
i
,
Inputs
(
in
).
size
());
PADDLE_ENFORCE_LT
(
j
,
Outputs
(
out
).
size
());
Variable
*
in_var
=
scope_
.
FindVar
(
Inputs
(
in
)[
i
]);
Variable
*
out_var
=
scope_
.
FindVar
(
Outputs
(
out
)[
j
]);
if
(
!
in_var
->
IsType
<
LoDTensor
>
())
return
;
PADDLE_ENFORCE
(
out_var
->
IsType
<
LoDTensor
>
(),
"The %d-th output of Output(%s) must be LoDTensor."
,
j
,
out
);
auto
in_tensor
=
in_var
->
Get
<
LoDTensor
>
();
auto
*
out_tensor
=
out_var
->
GetMutable
<
LoDTensor
>
();
out_tensor
->
set_lod
(
in_tensor
.
lod
());
void
RuntimeInferShapeContext
::
ShareLoD
(
const
std
::
string
&
in
,
const
std
::
string
&
out
,
size_t
i
,
size_t
j
)
const
{
PADDLE_ENFORCE_LT
(
i
,
Inputs
(
in
).
size
());
PADDLE_ENFORCE_LT
(
j
,
Outputs
(
out
).
size
());
Variable
*
in_var
=
scope_
.
FindVar
(
Inputs
(
in
)[
i
]);
Variable
*
out_var
=
scope_
.
FindVar
(
Outputs
(
out
)[
j
]);
if
(
!
in_var
->
IsType
<
LoDTensor
>
())
return
;
PADDLE_ENFORCE
(
out_var
->
IsType
<
LoDTensor
>
(),
"The %d-th output of Output(%s) must be LoDTensor."
,
j
,
out
);
auto
in_tensor
=
in_var
->
Get
<
LoDTensor
>
();
auto
*
out_tensor
=
out_var
->
GetMutable
<
LoDTensor
>
();
out_tensor
->
set_lod
(
in_tensor
.
lod
());
// TODO(dzhwinter) : reuse ShareLoD in most operators.
// Need to call ShareLayout explicitly in sequence related ops.
// Shall we have a better method to shared info between in/out Tensor?
#ifdef PADDLE_WITH_MKLDNN
// Fix me: ugly workaround below
// Correct solution:
// set_layout() should NOT be called here (i.e. ShareLoD). Instead,
// layout of output tensor should be set "manually" in Compute()
// of each OPKernel. The reason layout should NOT be shared between
// input and output "automatically" (now by InferShape()->ShareLoD())
// is that layout transform may occur after InferShape().
// Workaround:
// Skip set_layout() when input layout is kMKLDNN
// This is to avoid kMKLDNN is populated wrongly into a non-MKLDNN
// OPKernel. In all MKLDNN OPkernel, set_layout(kMKLDNN) should be called
// in Compute()
if
(
in_tensor
.
layout
()
!=
DataLayout
::
kMKLDNN
)
// Fix me: ugly workaround below
// Correct solution:
// set_layout() should NOT be called here (i.e. ShareLoD). Instead,
// layout of output tensor should be set "manually" in Compute()
// of each OPKernel. The reason layout should NOT be shared between
// input and output "automatically" (now by InferShape()->ShareLoD())
// is that layout transform may occur after InferShape().
// Workaround:
// Skip set_layout() when input layout is kMKLDNN
// This is to avoid kMKLDNN is populated wrongly into a non-MKLDNN
// OPKernel. In all MKLDNN OPkernel, set_layout(kMKLDNN) should be called
// in Compute()
if
(
in_tensor
.
layout
()
!=
DataLayout
::
kMKLDNN
)
#endif
out_tensor
->
set_layout
(
in_tensor
.
layout
());
}
void
ShareLayout
(
const
std
::
string
&
in
,
const
std
::
string
&
out
,
size_t
i
=
0
,
size_t
j
=
0
)
const
{
PADDLE_ENFORCE_LT
(
i
,
Inputs
(
in
).
size
());
PADDLE_ENFORCE_LT
(
j
,
Outputs
(
out
).
size
());
Variable
*
in_var
=
scope_
.
FindVar
(
Inputs
(
in
)[
i
]);
Variable
*
out_var
=
scope_
.
FindVar
(
Outputs
(
out
)[
j
]);
if
(
!
in_var
->
IsType
<
LoDTensor
>
())
return
;
PADDLE_ENFORCE
(
out_var
->
IsType
<
LoDTensor
>
(),
"The %d-th output of Output(%s) must be LoDTensor."
,
j
,
out
);
auto
in_tensor
=
in_var
->
Get
<
LoDTensor
>
();
auto
*
out_tensor
=
out_var
->
GetMutable
<
LoDTensor
>
();
out_tensor
->
set_layout
(
in_tensor
.
layout
());
}
bool
IsRuntime
()
const
override
{
return
true
;
}
protected:
DDim
GetDim
(
const
std
::
string
&
name
)
const
override
{
Variable
*
var
=
scope_
.
FindVar
(
name
);
PADDLE_ENFORCE_NOT_NULL
(
var
);
if
(
var
->
IsType
<
LoDTensor
>
())
{
return
var
->
Get
<
LoDTensor
>
().
dims
();
}
else
if
(
var
->
IsType
<
SelectedRows
>
())
{
return
var
->
Get
<
SelectedRows
>
().
GetCompleteDims
();
}
else
{
PADDLE_THROW
(
"Only LoDTensor/SelectedRows support 'GetDim', but Variable %s's "
"type_id is %s."
,
name
,
var
->
Type
().
name
());
}
}
std
::
vector
<
DDim
>
GetRepeatedDims
(
const
std
::
string
&
name
)
const
override
{
PADDLE_THROW
(
"Only compile time support this method"
);
}
void
SetDim
(
const
std
::
string
&
name
,
const
DDim
&
dim
)
override
{
Variable
*
var
=
scope_
.
FindVar
(
name
);
if
(
var
->
IsType
<
LoDTensor
>
())
{
var
->
GetMutable
<
LoDTensor
>
()
->
Resize
(
dim
);
}
else
if
(
var
->
IsType
<
SelectedRows
>
())
{
var
->
GetMutable
<
SelectedRows
>
()
->
set_height
(
dim
[
0
]);
}
else
{
PADDLE_THROW
(
"Variable %s type_id %s, expect LoDTensor/SelectedRows."
,
name
,
var
->
Type
().
name
());
}
}
void
SetRepeatedDims
(
const
std
::
string
&
name
,
const
std
::
vector
<
DDim
>&
dims
)
override
{
PADDLE_THROW
(
"Only compile time support this method"
);
}
}
proto
::
VarType
::
Type
GetVarType
(
const
std
::
string
&
name
)
const
override
{
auto
*
var
=
scope_
.
FindVar
(
name
);
return
ToVarType
(
var
->
Type
());
void
RuntimeInferShapeContext
::
ShareLayout
(
const
std
::
string
&
in
,
const
std
::
string
&
out
,
size_t
i
,
size_t
j
)
const
{
PADDLE_ENFORCE_LT
(
i
,
Inputs
(
in
).
size
());
PADDLE_ENFORCE_LT
(
j
,
Outputs
(
out
).
size
());
Variable
*
in_var
=
scope_
.
FindVar
(
Inputs
(
in
)[
i
]);
Variable
*
out_var
=
scope_
.
FindVar
(
Outputs
(
out
)[
j
]);
if
(
!
in_var
->
IsType
<
LoDTensor
>
())
return
;
PADDLE_ENFORCE
(
out_var
->
IsType
<
LoDTensor
>
(),
"The %d-th output of Output(%s) must be LoDTensor."
,
j
,
out
);
auto
in_tensor
=
in_var
->
Get
<
LoDTensor
>
();
auto
*
out_tensor
=
out_var
->
GetMutable
<
LoDTensor
>
();
out_tensor
->
set_layout
(
in_tensor
.
layout
());
}
DDim
RuntimeInferShapeContext
::
GetDim
(
const
std
::
string
&
name
)
const
{
Variable
*
var
=
scope_
.
FindVar
(
name
);
PADDLE_ENFORCE_NOT_NULL
(
var
);
if
(
var
->
IsType
<
LoDTensor
>
())
{
return
var
->
Get
<
LoDTensor
>
().
dims
();
}
else
if
(
var
->
IsType
<
SelectedRows
>
())
{
return
var
->
Get
<
SelectedRows
>
().
GetCompleteDims
();
}
else
{
PADDLE_THROW
(
"Only LoDTensor/SelectedRows support 'GetDim', but Variable %s's "
"type_id is %s."
,
name
,
var
->
Type
().
name
());
}
}
InferShapeVarPtr
GetVarPtr
(
const
std
::
string
&
name
)
override
{
return
scope_
.
FindVar
(
name
);
void
RuntimeInferShapeContext
::
SetDim
(
const
std
::
string
&
name
,
const
DDim
&
dim
)
{
Variable
*
var
=
scope_
.
FindVar
(
name
);
if
(
var
->
IsType
<
LoDTensor
>
())
{
var
->
GetMutable
<
LoDTensor
>
()
->
Resize
(
dim
);
}
else
if
(
var
->
IsType
<
SelectedRows
>
())
{
var
->
GetMutable
<
SelectedRows
>
()
->
set_height
(
dim
[
0
]);
}
else
{
PADDLE_THROW
(
"Variable %s type_id %s, expect LoDTensor/SelectedRows."
,
name
,
var
->
Type
().
name
());
}
private:
const
OperatorBase
&
op_
;
const
Scope
&
scope_
;
};
}
static
void
CheckTensorNANOrInf
(
const
std
::
string
&
name
,
const
framework
::
Tensor
&
tensor
)
{
...
...
paddle/fluid/framework/shape_runtime_infer.h
0 → 100644
浏览文件 @
e0436ad8
/* Copyright (c) 2016 PaddlePaddle 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. */
#pragma once
#include <string>
#include <vector>
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/shape_inference.h"
#include "paddle/fluid/framework/var_type.h"
namespace
paddle
{
namespace
framework
{
class
RuntimeInferShapeContext
:
public
InferShapeContext
{
public:
RuntimeInferShapeContext
(
const
OperatorBase
&
op
,
const
Scope
&
scope
)
:
op_
(
op
),
scope_
(
scope
)
{}
bool
HasInput
(
const
std
::
string
&
name
)
const
override
;
bool
HasOutput
(
const
std
::
string
&
name
)
const
override
;
bool
HasInputs
(
const
std
::
string
&
name
)
const
override
;
bool
HasOutputs
(
const
std
::
string
&
name
)
const
override
;
const
OperatorBase
&
OpBase
()
const
{
return
op_
;
}
const
Scope
&
InferScope
()
const
{
return
scope_
;
}
AttrReader
Attrs
()
const
override
{
return
AttrReader
(
op_
.
Attrs
());
}
const
std
::
vector
<
std
::
string
>&
Inputs
(
const
std
::
string
&
name
)
const
override
{
return
op_
.
Inputs
(
name
);
}
const
std
::
vector
<
std
::
string
>&
Outputs
(
const
std
::
string
&
name
)
const
override
{
return
op_
.
Outputs
(
name
);
}
void
ShareLoD
(
const
std
::
string
&
in
,
const
std
::
string
&
out
,
size_t
i
=
0
,
size_t
j
=
0
)
const
override
;
void
ShareLayout
(
const
std
::
string
&
in
,
const
std
::
string
&
out
,
size_t
i
=
0
,
size_t
j
=
0
)
const
;
bool
IsRuntime
()
const
override
{
return
true
;
}
protected:
DDim
GetDim
(
const
std
::
string
&
name
)
const
override
;
void
SetDim
(
const
std
::
string
&
name
,
const
DDim
&
dim
)
override
;
std
::
vector
<
DDim
>
GetRepeatedDims
(
const
std
::
string
&
name
)
const
override
{
PADDLE_THROW
(
"Only compile time support this method"
);
}
void
SetRepeatedDims
(
const
std
::
string
&
name
,
const
std
::
vector
<
DDim
>&
dims
)
override
{
PADDLE_THROW
(
"Only compile time support this method"
);
}
proto
::
VarType
::
Type
GetVarType
(
const
std
::
string
&
name
)
const
override
{
auto
*
var
=
scope_
.
FindVar
(
name
);
return
ToVarType
(
var
->
Type
());
}
InferShapeVarPtr
GetVarPtr
(
const
std
::
string
&
name
)
override
{
return
scope_
.
FindVar
(
name
);
}
private:
const
OperatorBase
&
op_
;
const
Scope
&
scope_
;
};
}
// namespace framework
}
// namespace paddle
paddle/fluid/operators/fusion_lstm_op.cc
浏览文件 @
e0436ad8
...
...
@@ -14,6 +14,7 @@ limitations under the License. */
#include "paddle/fluid/operators/fusion_lstm_op.h"
#include <string>
#include "paddle/fluid/framework/shape_runtime_infer.h"
#include "paddle/fluid/operators/math/blas.h"
#include "paddle/fluid/operators/math/cpu_vec.h"
#include "paddle/fluid/operators/math/fc_compute.h"
...
...
@@ -24,26 +25,54 @@ namespace paddle {
namespace
operators
{
void
FusionLSTMOp
::
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input(X) of LSTM should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"WeightX"
),
"Input(WeightX) of LSTM should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"WeightH"
),
"Input(WeightH) of LSTM should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"Bias"
),
"Input(Bias) of LSTM should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"XX"
),
"Output(XX) of LSTM should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Hidden"
),
"Output(Hidden) of LSTM should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Cell"
),
"Output(Cell) of LSTM should not be null."
);
auto
*
runtime_ctx
=
dynamic_cast
<
framework
::
RuntimeInferShapeContext
*>
(
ctx
);
if
(
runtime_ctx
==
nullptr
)
{
LOG
(
FATAL
)
<<
"Should have runtime infer context"
;
}
const
auto
&
ins
=
runtime_ctx
->
OpBase
().
Inputs
();
const
auto
&
outs
=
runtime_ctx
->
OpBase
().
Outputs
();
const
auto
&
scope
=
runtime_ctx
->
InferScope
();
const
auto
ins_end
=
ins
.
end
();
const
auto
outs_end
=
outs
.
end
();
auto
fair_input
=
[
&
](
const
std
::
string
&
name
)
->
bool
{
auto
it
=
ins
.
find
(
name
);
if
(
it
==
ins_end
)
{
return
false
;
}
const
auto
&
in
=
it
->
second
;
if
(
in
.
size
()
!=
1
||
in
[
0
]
==
framework
::
kEmptyVarName
)
{
return
false
;
}
return
scope
.
FindVar
(
in
[
0
])
!=
nullptr
;
};
auto
fair_output
=
[
&
](
const
std
::
string
&
name
)
->
bool
{
auto
it
=
outs
.
find
(
name
);
if
(
it
==
outs_end
)
{
return
false
;
}
const
auto
&
out
=
it
->
second
;
if
(
out
.
size
()
!=
1
||
out
[
0
]
==
framework
::
kEmptyVarName
)
{
return
false
;
}
return
scope
.
FindVar
(
out
[
0
])
!=
nullptr
;
};
PADDLE_ENFORCE
(
fair_input
(
"X"
),
"Assert only one Input(X) of LSTM."
);
PADDLE_ENFORCE
(
fair_input
(
"WeightX"
),
"Assert only one Input(WeightX) of LSTM."
);
PADDLE_ENFORCE
(
fair_input
(
"WeightH"
),
"Assert only one Input(WeightH) of LSTM."
);
PADDLE_ENFORCE
(
fair_input
(
"Bias"
),
"Assert only one Input(Bias) of LSTM."
);
PADDLE_ENFORCE
(
fair_output
(
"XX"
),
"Assert only one Output(XX) of LSTM."
);
PADDLE_ENFORCE
(
fair_output
(
"Hidden"
),
"Assert only one Output(Hidden) of LSTM."
);
PADDLE_ENFORCE
(
fair_output
(
"Cell"
),
"Assert only one Output(Cell) of LSTM."
);
auto
x_dims
=
ctx
->
GetInputDim
(
"X"
);
PADDLE_ENFORCE_EQ
(
x_dims
.
size
(),
2
,
"Input(X)'s rank must be 2."
);
if
(
ctx
->
HasI
nput
(
"H0"
))
{
PADDLE_ENFORCE
(
ctx
->
HasI
nput
(
"C0"
),
if
(
fair_i
nput
(
"H0"
))
{
PADDLE_ENFORCE
(
fair_i
nput
(
"C0"
),
"Input(Cell) and Input(Hidden) of LSTM should not "
"be null at the same time."
);
auto
h_dims
=
ctx
->
GetInputDim
(
"H0"
);
...
...
@@ -95,16 +124,16 @@ void FusionLSTMOp::InferShape(framework::InferShapeContext* ctx) const {
xx_width
=
wx_dims
[
1
];
}
else
{
xx_width
=
x_dims
[
1
]
>
wx_dims
[
1
]
?
wx_dims
[
1
]
:
x_dims
[
1
];
PADDLE_ENFORCE
(
ctx
->
HasO
utput
(
"BatchedInput"
),
"
Output(BatchedInput) of LSTM should not be null
."
);
PADDLE_ENFORCE
(
ctx
->
HasO
utput
(
"BatchedHidden"
),
"
Output(BatchedHidden) of LSTM should not be null
."
);
PADDLE_ENFORCE
(
ctx
->
HasO
utput
(
"BatchedCell"
),
"
Output(BatchedCell) of LSTM should not be null
."
);
PADDLE_ENFORCE
(
ctx
->
HasO
utput
(
"ReorderedH0"
),
"
Output(ReorderedH0) of LSTM should not be null.
"
);
PADDLE_ENFORCE
(
ctx
->
HasO
utput
(
"ReorderedC0"
),
"
Output(ReorderedC0) of LSTM should not be null
."
);
PADDLE_ENFORCE
(
fair_o
utput
(
"BatchedInput"
),
"
Assert only one Output(BatchedInput) of LSTM
."
);
PADDLE_ENFORCE
(
fair_o
utput
(
"BatchedHidden"
),
"
Assert only one Output(BatchedHidden) of LSTM
."
);
PADDLE_ENFORCE
(
fair_o
utput
(
"BatchedCell"
),
"
Assert only one Output(BatchedCell) of LSTM
."
);
PADDLE_ENFORCE
(
fair_o
utput
(
"ReorderedH0"
),
"
Assert only one Output(ReorderedH0) of LSTM
"
);
PADDLE_ENFORCE
(
fair_o
utput
(
"ReorderedC0"
),
"
Assert only one Output(ReorderedC0) of LSTM
."
);
ctx
->
SetOutputDim
(
"BatchedInput"
,
{
x_dims
[
0
],
wx_dims
[
1
]});
ctx
->
SetOutputDim
(
"BatchedHidden"
,
out_dims
);
ctx
->
SetOutputDim
(
"BatchedCell"
,
out_dims
);
...
...
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