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体验新版 GitCode,发现更多精彩内容 >>
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提交
f5f76e61
编写于
4月 15, 2020
作者:
Y
yiicy
提交者:
GitHub
4月 15, 2020
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电子邮件补丁
差异文件
fusion_seqconv_eltadd_relu error message enhancement. (#23554)
上级
b4daea13
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
60 addition
and
31 deletion
+60
-31
paddle/fluid/operators/fused/fusion_seqconv_eltadd_relu_op.cc
...le/fluid/operators/fused/fusion_seqconv_eltadd_relu_op.cc
+60
-31
未找到文件。
paddle/fluid/operators/fused/fusion_seqconv_eltadd_relu_op.cc
浏览文件 @
f5f76e61
...
...
@@ -23,36 +23,53 @@ namespace operators {
void
FusionSeqConvEltAddReluOp
::
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
{
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"X"
),
"Input(X) of FusionSeqConvEltAddReluOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"Filter"
),
"Input(Filter) of FusionSeqConvEltAddReluOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasInput
(
"Bias"
),
"Input(Bias) of FusionSeqConvEltAddReluOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) of FusionSeqConvEltAddReluOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"ColMat"
),
"Output(ColMat) of FusionSeqConvEltAddReluOp should not be null."
);
OP_INOUT_CHECK
(
ctx
->
HasInput
(
"X"
),
"Input"
,
"X"
,
"fusion_seqconv_eltadd_relu"
);
OP_INOUT_CHECK
(
ctx
->
HasInput
(
"Filter"
),
"Input"
,
"Filter"
,
"fusion_seqconv_eltadd_relu"
);
OP_INOUT_CHECK
(
ctx
->
HasInput
(
"Bias"
),
"Input"
,
"Bias"
,
"fusion_seqconv_eltadd_relu"
);
OP_INOUT_CHECK
(
ctx
->
HasOutput
(
"Out"
),
"Output"
,
"Out"
,
"fusion_seqconv_eltadd_relu"
);
OP_INOUT_CHECK
(
ctx
->
HasOutput
(
"ColMat"
),
"Output"
,
"ColMat"
,
"fusion_seqconv_eltadd_relu"
);
auto
x_dims
=
ctx
->
GetInputDim
(
"X"
);
auto
w_dims
=
ctx
->
GetInputDim
(
"Filter"
);
int
context_length
=
ctx
->
Attrs
().
Get
<
int
>
(
"contextLength"
);
PADDLE_ENFORCE
(
ctx
->
Attrs
().
Get
<
int
>
(
"contextStride"
)
==
1
,
"Currently, FusionSeqConvEltAddReluOp only supports contextStride=1."
);
PADDLE_ENFORCE
(
x_dims
.
size
()
==
2
&&
w_dims
.
size
()
==
2
,
"Input(X, Filter) should be 2-D tensor."
);
PADDLE_ENFORCE
(
x_dims
.
size
()
==
2
&&
w_dims
.
size
()
==
2
,
"Input(X, Filter) should be 2-D tensor."
);
PADDLE_ENFORCE
(
w_dims
[
0
]
==
context_length
*
x_dims
[
1
],
"Filter's height should be context_length * "
"input_hidden_size ."
);
PADDLE_ENFORCE_GT
(
context_length
+
ctx
->
Attrs
().
Get
<
int
>
(
"contextStart"
),
0
,
"contextStart size should be smaller than contextLength."
);
PADDLE_ENFORCE_EQ
(
ctx
->
Attrs
().
Get
<
int
>
(
"contextStride"
),
1
,
platform
::
errors
::
InvalidArgument
(
"Currently, FusionSeqConvEltAddReluOp only supports "
"contextStride=1, but received value is: %d."
,
ctx
->
Attrs
().
Get
<
int
>
(
"contextStride"
)));
PADDLE_ENFORCE_EQ
(
x_dims
.
size
(),
2
,
platform
::
errors
::
InvalidArgument
(
"Input(X) should be 2-D tensor, but reveiced value is: %d."
,
x_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
w_dims
.
size
(),
2
,
platform
::
errors
::
InvalidArgument
(
"Filter should be 2-D tensor, but reveiced value is: %d."
,
w_dims
.
size
()));
PADDLE_ENFORCE_EQ
(
w_dims
[
0
],
context_length
*
x_dims
[
1
],
platform
::
errors
::
InvalidArgument
(
"Filter's height should be equal to context_length * "
"input_hidden_size, but received Filter height is: %d,"
"context_length is: %d, input_hidden_size is: %d."
,
w_dims
[
0
],
context_length
,
x_dims
[
1
]));
PADDLE_ENFORCE_GT
(
context_length
+
ctx
->
Attrs
().
Get
<
int
>
(
"contextStart"
),
0
,
platform
::
errors
::
InvalidArgument
(
"contextStart size should be smaller than contextLength, "
"but received context_length is: %d, contextStart is: "
"%d."
,
context_length
,
ctx
->
Attrs
().
Get
<
int
>
(
"contextStart"
)));
ctx
->
SetOutputDim
(
"Out"
,
{
x_dims
[
0
],
w_dims
[
1
]});
ctx
->
SetOutputDim
(
"ColMat"
,
{
x_dims
[
0
],
w_dims
[
0
]});
...
...
@@ -130,10 +147,17 @@ class FusionSeqConvEltAddReluKernel : public framework::OpKernel<T> {
auto
x_lod
=
x
->
lod
();
auto
x_dims
=
x
->
dims
();
auto
w_dims
=
w
->
dims
();
PADDLE_ENFORCE_EQ
(
b
->
numel
(),
w_dims
[
1
],
"bias size should be equal to output feature size."
);
PADDLE_ENFORCE_EQ
(
x_lod
.
size
(),
1UL
,
"Only support one level sequence now."
);
PADDLE_ENFORCE_EQ
(
b
->
numel
(),
w_dims
[
1
],
platform
::
errors
::
InvalidArgument
(
"bias size should be equal to weights feature size, but received "
"bias size is: %d, weights feature size is: %d."
,
b
->
numel
(),
w_dims
[
1
]));
PADDLE_ENFORCE_EQ
(
x_lod
.
size
(),
1UL
,
platform
::
errors
::
InvalidArgument
(
"Only support one level sequence now, but received value is: %d."
,
x_lod
.
size
()));
const
T
*
x_data
=
x
->
data
<
T
>
();
const
T
*
w_data
=
w
->
data
<
T
>
();
...
...
@@ -183,7 +207,12 @@ class FusionSeqConvEltAddReluKernel : public framework::OpKernel<T> {
copy_size
-=
src_mat_w_sz
;
}
}
else
{
PADDLE_ENFORCE_GE
(
context_length
,
up_pad
+
down_pad
+
1
);
PADDLE_ENFORCE_GE
(
context_length
,
up_pad
+
down_pad
+
1
,
platform
::
errors
::
InvalidArgument
(
"context length must be bigger or equal than "
"up_pad + down_pad + 1, but received context "
"length is: %d, up_pad is: %d, down_pad is: %d."
,
context_length
,
up_pad
,
down_pad
));
std
::
memset
(
dst_data
,
0
,
seq_len
*
col_mat_w_sz
);
dst_data
=
dst_data
+
up_pad
*
src_mat_w
;
int
zero_sz
=
up_pad
*
src_mat_w_sz
;
...
...
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