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e0d4e04b
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体验新版 GitCode,发现更多精彩内容 >>
提交
e0d4e04b
编写于
11月 14, 2018
作者:
T
Tao Luo
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix some compiler warning
test=develop
上级
8ea13e33
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
15 addition
and
15 deletion
+15
-15
paddle/fluid/inference/analysis/ir_passes/subgraph_detector.cc
...e/fluid/inference/analysis/ir_passes/subgraph_detector.cc
+1
-1
paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
...id/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
+1
-1
paddle/fluid/inference/tests/api/analyzer_dam_tester.cc
paddle/fluid/inference/tests/api/analyzer_dam_tester.cc
+1
-1
paddle/fluid/operators/hash_op.cc
paddle/fluid/operators/hash_op.cc
+1
-1
paddle/fluid/operators/math/selected_rows_functor.cc
paddle/fluid/operators/math/selected_rows_functor.cc
+1
-1
paddle/fluid/operators/math/sequence_pooling_test.cc
paddle/fluid/operators/math/sequence_pooling_test.cc
+4
-4
paddle/fluid/operators/merge_ids_op.h
paddle/fluid/operators/merge_ids_op.h
+4
-4
paddle/fluid/operators/ref_by_trainer_id_op.h
paddle/fluid/operators/ref_by_trainer_id_op.h
+1
-1
paddle/fluid/operators/split_ids_op.h
paddle/fluid/operators/split_ids_op.h
+1
-1
未找到文件。
paddle/fluid/inference/analysis/ir_passes/subgraph_detector.cc
浏览文件 @
e0d4e04b
...
...
@@ -412,7 +412,7 @@ void DetachDeletedNodes(framework::ir::Graph *graph) {
void
SubGraphFuser
::
ReplaceNodesWithSubGraphs
()
{
auto
subgraphs
=
SubgraphDetector
(
graph_
,
node_inside_subgraph_teller_
)();
for
(
auto
&
subgraph
:
subgraphs
)
{
if
(
subgraph
.
size
()
<=
min_subgraph_size_
)
continue
;
if
(
subgraph
.
size
()
<=
(
size_t
)
min_subgraph_size_
)
continue
;
LOG
(
INFO
)
<<
"detect a subgraph size "
<<
subgraph
.
size
();
std
::
unordered_set
<
Node
*>
subgraph_uniq
(
subgraph
.
begin
(),
subgraph
.
end
());
// replace this sub-graph with the first node. Two steps: 1. Create a Block
...
...
paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
浏览文件 @
e0d4e04b
...
...
@@ -114,7 +114,7 @@ void TensorRtSubgraphPass::CreateTensorRTOp(framework::ir::Node *node,
// it is either an OP's input or an OP's output.
auto
&
subgraph_nodes
=
*
Agent
(
node
).
subgraph
();
for
(
in
t
index
=
0
;
index
<
block_desc
.
OpSize
();
index
++
)
{
for
(
size_
t
index
=
0
;
index
<
block_desc
.
OpSize
();
index
++
)
{
framework
::
proto
::
OpDesc
*
op
=
block_desc
.
Op
(
index
)
->
Proto
();
auto
correspond_node
=
subgraph_nodes
[
index
];
PADDLE_ENFORCE_EQ
(
correspond_node
->
Name
(),
op
->
type
());
...
...
paddle/fluid/inference/tests/api/analyzer_dam_tester.cc
浏览文件 @
e0d4e04b
...
...
@@ -69,7 +69,7 @@ struct DataRecord {
num_lines
++
;
std
::
vector
<
std
::
string
>
data
;
split
(
line
,
','
,
&
data
);
CHECK_EQ
(
data
.
size
(),
2
*
MAX_TURN_NUM
+
3
);
CHECK_EQ
(
data
.
size
(),
(
size_t
)(
2
*
MAX_TURN_NUM
+
3
)
);
// load turn data
std
::
vector
<
int64_t
>
turns_tmp
[
MAX_TURN_NUM
];
for
(
int
i
=
0
;
i
<
MAX_TURN_NUM
;
++
i
)
{
...
...
paddle/fluid/operators/hash_op.cc
浏览文件 @
e0d4e04b
...
...
@@ -38,7 +38,7 @@ class HashOp : public framework::OperatorWithKernel {
std
::
vector
<
int64_t
>
out_dims
;
out_dims
.
reserve
(
dims
.
size
()
+
1
);
// copy all dims except the last one
for
(
size_
t
i
=
0u
;
i
!=
dims
.
size
()
-
1
;
++
i
)
{
for
(
in
t
i
=
0u
;
i
!=
dims
.
size
()
-
1
;
++
i
)
{
out_dims
.
emplace_back
(
dims
[
i
]);
}
int
num_hash
=
ctx
->
Attrs
().
Get
<
int
>
(
"num_hash"
);
...
...
paddle/fluid/operators/math/selected_rows_functor.cc
浏览文件 @
e0d4e04b
...
...
@@ -244,7 +244,7 @@ typename std::enable_if<
std
::
is_same
<
DeviceContext
,
platform
::
CPUDeviceContext
>::
value
>::
type
elementwise_add_to
(
const
DeviceContext
&
ctx
,
BlasT
<
DeviceContext
,
T
>*
blas
,
size_t
data_len
,
const
T
*
in
,
T
*
out
)
{
for
(
int64
_t
i
=
0
;
i
<
data_len
;
i
++
)
{
for
(
size
_t
i
=
0
;
i
<
data_len
;
i
++
)
{
out
[
i
]
+=
in
[
i
];
}
}
...
...
paddle/fluid/operators/math/sequence_pooling_test.cc
浏览文件 @
e0d4e04b
...
...
@@ -70,11 +70,11 @@ void TestSequencePoolingSum(const paddle::framework::LoD& lod) {
EXPECT_EQ
(
in_grad
.
lod
(),
lod
);
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
for
(
int64
_t
i
=
0
;
i
<
in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
for
(
size
_t
i
=
0
;
i
<
in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
int64_t
begin
=
in_grad
.
lod
()[
0
][
i
];
int64_t
end
=
in_grad
.
lod
()[
0
][
i
+
1
];
paddle
::
framework
::
Tensor
tmp
=
in_grad
.
Slice
(
begin
,
end
);
for
(
int64
_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
size
_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
int64_t
m
=
0
;
m
!=
second_dim
;
++
m
)
{
EXPECT_EQ
(
tmp
.
data
<
T
>
()[
m
+
j
*
second_dim
],
out_grad
.
data
<
T
>
()[
m
+
i
*
second_dim
]);
...
...
@@ -82,11 +82,11 @@ void TestSequencePoolingSum(const paddle::framework::LoD& lod) {
}
}
}
else
{
for
(
int64
_t
i
=
0
;
i
<
cpu_in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
for
(
size
_t
i
=
0
;
i
<
cpu_in_grad
.
lod
()[
0
].
size
()
-
1
;
++
i
)
{
int64_t
begin
=
cpu_in_grad
.
lod
()[
0
][
i
];
int64_t
end
=
cpu_in_grad
.
lod
()[
0
][
i
+
1
];
paddle
::
framework
::
Tensor
tmp
=
cpu_in_grad
.
Slice
(
begin
,
end
);
for
(
int64
_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
size
_t
j
=
0
;
j
!=
tmp
.
numel
()
/
second_dim
;
++
j
)
{
for
(
int64_t
m
=
0
;
m
!=
second_dim
;
++
m
)
{
EXPECT_EQ
(
tmp
.
data
<
T
>
()[
m
+
j
*
second_dim
],
cpu_out_grad
.
data
<
T
>
()[
m
+
i
*
second_dim
]);
...
...
paddle/fluid/operators/merge_ids_op.h
浏览文件 @
e0d4e04b
...
...
@@ -43,11 +43,11 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
PADDLE_ENFORCE_EQ
(
ids
.
size
(),
outs
.
size
(),
"the number of Ids and Out should be the same"
);
in
t
row_ids_size
=
0
;
size_
t
row_ids_size
=
0
;
int
row_size
=
0
;
int
embedding_size
=
0
;
for
(
in
t
i
=
0
;
i
<
x_tensors
.
size
();
++
i
)
{
for
(
size_
t
i
=
0
;
i
<
x_tensors
.
size
();
++
i
)
{
const
auto
*
x_tensor
=
x_tensors
[
i
];
const
auto
*
row_id
=
row_ids
[
i
];
...
...
@@ -66,7 +66,7 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
std
::
unordered_map
<
int64_t
,
std
::
tuple
<
int64_t
,
int64_t
>>
selected_rows_idx_map
;
for
(
in
t
i
=
0
;
i
<
x_tensors
.
size
();
++
i
)
{
for
(
size_
t
i
=
0
;
i
<
x_tensors
.
size
();
++
i
)
{
const
auto
*
row_id
=
row_ids
[
i
];
for
(
int
j
=
0
;
j
<
row_id
->
numel
();
++
j
)
{
...
...
@@ -78,7 +78,7 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
PADDLE_ENFORCE_EQ
(
row_ids_size
,
selected_rows_idx_map
.
size
(),
"the rows and tensor map size should be the same"
);
for
(
in
t
i
=
0
;
i
<
outs
.
size
();
++
i
)
{
for
(
size_
t
i
=
0
;
i
<
outs
.
size
();
++
i
)
{
auto
*
out_ids
=
ids
[
i
];
auto
*
out
=
outs
[
i
];
...
...
paddle/fluid/operators/ref_by_trainer_id_op.h
浏览文件 @
e0d4e04b
...
...
@@ -38,7 +38,7 @@ class RefByTrainerIdKernel : public framework::OpKernel<T> {
}
else
{
trainer_id
=
*
trainer_id_data
;
}
PADDLE_ENFORCE_LT
(
trainer_id
,
in_list
.
size
());
PADDLE_ENFORCE_LT
(
(
size_t
)
trainer_id
,
in_list
.
size
());
out
->
mutable_data
<
T
>
(
context
.
GetPlace
());
out
->
ShareDataWith
(
*
(
in_list
[
trainer_id
]));
}
...
...
paddle/fluid/operators/split_ids_op.h
浏览文件 @
e0d4e04b
...
...
@@ -64,7 +64,7 @@ class SplitIdsOpKernel : public framework::OpKernel<T> {
out_ids
.
resize
(
outs
.
size
());
// split id by their shard_num.
for
(
in
t
i
=
0
;
i
<
all_ids
.
size
();
++
i
)
{
for
(
size_
t
i
=
0
;
i
<
all_ids
.
size
();
++
i
)
{
T
id
=
all_ids
[
i
];
size_t
shard_id
=
static_cast
<
size_t
>
(
id
)
%
shard_num
;
out_ids
[
shard_id
].
push_back
(
id
);
...
...
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