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体验新版 GitCode,发现更多精彩内容 >>
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90084a25
编写于
4月 11, 2018
作者:
F
fengjiayi
提交者:
GitHub
4月 11, 2018
浏览文件
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差异文件
Merge pull request #9743 from JiayiFeng/modify_readers_to_fit_parallel_executor
Modify readers to fit the parallel executor
上级
718e1807
8c1eb869
变更
22
隐藏空白更改
内联
并排
Showing
22 changed file
with
390 addition
and
197 deletion
+390
-197
paddle/fluid/framework/lod_tensor.cc
paddle/fluid/framework/lod_tensor.cc
+17
-15
paddle/fluid/framework/lod_tensor.h
paddle/fluid/framework/lod_tensor.h
+5
-2
paddle/fluid/framework/lod_tensor_test.cc
paddle/fluid/framework/lod_tensor_test.cc
+9
-9
paddle/fluid/framework/parallel_executor.cc
paddle/fluid/framework/parallel_executor.cc
+1
-3
paddle/fluid/framework/reader.cc
paddle/fluid/framework/reader.cc
+3
-1
paddle/fluid/framework/reader.h
paddle/fluid/framework/reader.h
+3
-10
paddle/fluid/operators/read_op.cc
paddle/fluid/operators/read_op.cc
+1
-7
paddle/fluid/operators/reader/CMakeLists.txt
paddle/fluid/operators/reader/CMakeLists.txt
+1
-0
paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
.../fluid/operators/reader/create_double_buffer_reader_op.cc
+27
-20
paddle/fluid/operators/reader/create_multi_pass_reader_op.cc
paddle/fluid/operators/reader/create_multi_pass_reader_op.cc
+3
-13
paddle/fluid/operators/reader/create_random_data_generator_op.cc
...fluid/operators/reader/create_random_data_generator_op.cc
+1
-3
paddle/fluid/operators/reader/create_recordio_file_reader_op.cc
.../fluid/operators/reader/create_recordio_file_reader_op.cc
+3
-7
paddle/fluid/operators/reader/create_shuffle_reader_op.cc
paddle/fluid/operators/reader/create_shuffle_reader_op.cc
+11
-13
paddle/fluid/operators/reader/create_threaded_reader_op.cc
paddle/fluid/operators/reader/create_threaded_reader_op.cc
+94
-0
paddle/fluid/operators/reader/open_files_op.cc
paddle/fluid/operators/reader/open_files_op.cc
+39
-49
paddle/fluid/pybind/pybind.cc
paddle/fluid/pybind/pybind.cc
+0
-1
paddle/fluid/pybind/recordio.cc
paddle/fluid/pybind/recordio.cc
+1
-1
python/paddle/fluid/layers/io.py
python/paddle/fluid/layers/io.py
+137
-28
python/paddle/fluid/tests/unittests/test_multi_file_reader.py
...on/paddle/fluid/tests/unittests/test_multi_file_reader.py
+6
-2
python/paddle/fluid/tests/unittests/test_multi_pass_reader.py
...on/paddle/fluid/tests/unittests/test_multi_pass_reader.py
+7
-3
python/paddle/fluid/tests/unittests/test_parallel_executor.py
...on/paddle/fluid/tests/unittests/test_parallel_executor.py
+12
-6
python/paddle/fluid/tests/unittests/test_recordio_reader.py
python/paddle/fluid/tests/unittests/test_recordio_reader.py
+9
-4
未找到文件。
paddle/fluid/framework/lod_tensor.cc
浏览文件 @
90084a25
...
...
@@ -12,9 +12,14 @@ 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. */
#include "paddle/fluid/framework/lod_tensor.h"
#include <stdint.h>
#include <string.h>
#include <algorithm>
#include <iterator>
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/memory/memcpy.h"
#include "paddle/fluid/memory/memory.h"
...
...
@@ -22,11 +27,6 @@ limitations under the License. */
#include "paddle/fluid/recordio/scanner.h"
#include "paddle/fluid/recordio/writer.h"
#include <stdint.h>
#include <string.h>
#include <algorithm>
#include <iterator>
namespace
paddle
{
namespace
framework
{
...
...
@@ -294,7 +294,7 @@ void DeserializeFromStream(std::istream &is, LoDTensor *tensor,
TensorFromStream
(
is
,
static_cast
<
Tensor
*>
(
tensor
),
dev_ctx
);
}
void
WriteToRecordIO
(
recordio
::
Writer
&
writer
,
void
WriteToRecordIO
(
recordio
::
Writer
*
writer
,
const
std
::
vector
<
LoDTensor
>
&
tensor
,
const
platform
::
DeviceContext
&
dev_ctx
)
{
std
::
stringstream
buffer
;
...
...
@@ -303,18 +303,20 @@ void WriteToRecordIO(recordio::Writer &writer,
for
(
auto
&
each
:
tensor
)
{
SerializeToStream
(
buffer
,
each
,
dev_ctx
);
}
writer
.
Write
(
buffer
.
str
());
writer
->
Write
(
buffer
.
str
());
}
std
::
vector
<
LoDTensor
>
ReadFromRecordIO
(
recordio
::
Scanner
&
scanner
,
const
platform
::
DeviceContext
&
dev_ctx
)
{
std
::
istringstream
sin
(
scanner
.
Next
());
uint32_t
sz
;
sin
.
read
(
reinterpret_cast
<
char
*>
(
&
sz
),
sizeof
(
uint32_t
));
recordio
::
Scanner
*
scanner
,
const
platform
::
DeviceContext
&
dev_ctx
)
{
std
::
vector
<
LoDTensor
>
result
;
result
.
resize
(
sz
);
for
(
uint32_t
i
=
0
;
i
<
sz
;
++
i
)
{
DeserializeFromStream
(
sin
,
&
result
[
i
],
dev_ctx
);
if
(
scanner
->
HasNext
())
{
std
::
istringstream
sin
(
scanner
->
Next
());
uint32_t
sz
;
sin
.
read
(
reinterpret_cast
<
char
*>
(
&
sz
),
sizeof
(
uint32_t
));
result
.
resize
(
sz
);
for
(
uint32_t
i
=
0
;
i
<
sz
;
++
i
)
{
DeserializeFromStream
(
sin
,
&
result
[
i
],
dev_ctx
);
}
}
return
result
;
}
...
...
paddle/fluid/framework/lod_tensor.h
浏览文件 @
90084a25
...
...
@@ -15,6 +15,9 @@ limitations under the License. */
#pragma once
#include <memory>
#include <string>
#include <utility>
#include <vector>
#ifdef PADDLE_WITH_CUDA
#include <thrust/device_vector.h>
#include <thrust/host_vector.h>
...
...
@@ -216,12 +219,12 @@ void SerializeToStream(std::ostream& os, const LoDTensor& tensor,
void
DeserializeFromStream
(
std
::
istream
&
is
,
LoDTensor
*
tensor
,
const
platform
::
DeviceContext
&
dev_ctx
);
extern
void
WriteToRecordIO
(
recordio
::
Writer
&
writer
,
extern
void
WriteToRecordIO
(
recordio
::
Writer
*
writer
,
const
std
::
vector
<
LoDTensor
>&
tensor
,
const
platform
::
DeviceContext
&
dev_ctx
);
extern
std
::
vector
<
LoDTensor
>
ReadFromRecordIO
(
recordio
::
Scanner
&
scanner
,
const
platform
::
DeviceContext
&
dev_ctx
);
recordio
::
Scanner
*
scanner
,
const
platform
::
DeviceContext
&
dev_ctx
);
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/lod_tensor_test.cc
浏览文件 @
90084a25
...
...
@@ -12,17 +12,17 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/recordio/scanner.h"
#include "paddle/fluid/recordio/writer.h"
#include <glog/logging.h>
#include <gtest/gtest.h>
#include <algorithm>
#include <memory>
#include <vector>
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/recordio/scanner.h"
#include "paddle/fluid/recordio/writer.h"
namespace
paddle
{
namespace
framework
{
...
...
@@ -240,8 +240,8 @@ TEST(LoDTensor, RecordIO) {
*
platform
::
DeviceContextPool
::
Instance
().
Get
(
platform
::
CPUPlace
());
{
recordio
::
Writer
writer
(
stream
,
recordio
::
Compressor
::
kSnappy
);
WriteToRecordIO
(
writer
,
{
tensor
,
tensor
},
ctx
);
WriteToRecordIO
(
writer
,
{
tensor
,
tensor
},
ctx
);
WriteToRecordIO
(
&
writer
,
{
tensor
,
tensor
},
ctx
);
WriteToRecordIO
(
&
writer
,
{
tensor
,
tensor
},
ctx
);
writer
.
Flush
();
}
...
...
@@ -254,11 +254,11 @@ TEST(LoDTensor, RecordIO) {
{
std
::
unique_ptr
<
std
::
istream
>
stream_ptr
(
stream
);
recordio
::
Scanner
scanner
(
std
::
move
(
stream_ptr
));
auto
tensors
=
ReadFromRecordIO
(
scanner
,
ctx
);
auto
tensors
=
ReadFromRecordIO
(
&
scanner
,
ctx
);
ASSERT_EQ
(
tensors
.
size
(),
2
);
assert_tensor_ok
(
tensors
[
0
]);
assert_tensor_ok
(
tensors
[
1
]);
tensors
=
ReadFromRecordIO
(
scanner
,
ctx
);
tensors
=
ReadFromRecordIO
(
&
scanner
,
ctx
);
ASSERT_EQ
(
tensors
.
size
(),
2
);
assert_tensor_ok
(
tensors
[
0
]);
assert_tensor_ok
(
tensors
[
1
]);
...
...
paddle/fluid/framework/parallel_executor.cc
浏览文件 @
90084a25
...
...
@@ -115,14 +115,12 @@ void ParallelExecutor::BCastParamsToGPUs(
for
(
auto
&
var
:
vars
)
{
auto
*
main_var
=
main_scope
->
FindVar
(
var
);
if
(
!
main_var
->
IsType
<
LoDTensor
>
())
{
if
(
main_var
==
nullptr
||
!
main_var
->
IsType
<
LoDTensor
>
())
{
continue
;
}
auto
&
main_tensor
=
main_var
->
Get
<
LoDTensor
>
();
auto
&
dims
=
main_tensor
.
dims
();
if
(
paddle
::
platform
::
is_gpu_place
(
main_tensor
.
place
()))
{
size_t
numel
=
main_tensor
.
numel
();
ncclDataType_t
data_type
=
platform
::
ToNCCLDataType
(
main_tensor
.
type
());
...
...
paddle/fluid/framework/reader.cc
浏览文件 @
90084a25
...
...
@@ -22,7 +22,9 @@ FileReader::FileReader(const std::vector<DDim> &dims) : dims_(dims) {}
void
FileReader
::
ReadNext
(
std
::
vector
<
LoDTensor
>
*
out
)
{
ReadNextImpl
(
out
);
PADDLE_ENFORCE_EQ
(
out
->
size
(),
dims_
.
size
());
if
(
out
->
empty
())
{
return
;
}
for
(
size_t
i
=
0
;
i
<
dims_
.
size
();
++
i
)
{
auto
&
actual
=
out
->
at
(
i
).
dims
();
auto
&
expect
=
dims_
[
i
];
...
...
paddle/fluid/framework/reader.h
浏览文件 @
90084a25
...
...
@@ -14,14 +14,13 @@
#pragma once
#include <memory>
#include <vector>
#include "paddle/fluid/framework/ddim.h"
#include "paddle/fluid/framework/lod_tensor_array.h"
#include "paddle/fluid/platform/place.h"
#include <memory>
#include <thread>
#include <vector>
namespace
paddle
{
namespace
framework
{
...
...
@@ -31,8 +30,6 @@ class ReaderBase {
virtual
void
ReInit
()
=
0
;
virtual
bool
HasNext
()
const
=
0
;
virtual
~
ReaderBase
();
};
...
...
@@ -44,8 +41,6 @@ class DecoratedReader : public ReaderBase {
void
ReInit
()
override
{
reader_
->
ReInit
();
}
bool
HasNext
()
const
override
{
return
reader_
->
HasNext
();
}
protected:
ReaderBase
*
reader_
;
};
...
...
@@ -80,8 +75,6 @@ class ReaderHolder {
reader_
->
ReInit
();
}
bool
HasNext
()
const
{
return
reader_
->
HasNext
();
}
private:
std
::
unique_ptr
<
ReaderBase
>
reader_
;
};
...
...
paddle/fluid/operators/read_op.cc
浏览文件 @
90084a25
...
...
@@ -66,13 +66,7 @@ class ReadOp : public framework::OperatorBase {
std
::
vector
<
std
::
string
>
out_arg_names
=
Outputs
(
"Out"
);
std
::
vector
<
framework
::
LoDTensor
>
ins
;
reader
->
ReadNext
(
&
ins
);
if
(
ins
.
empty
())
{
reader
->
ReInit
();
reader
->
ReadNext
(
&
ins
);
PADDLE_ENFORCE
(
!
ins
.
empty
(),
"Reader can not read the next data even it has been re-initialized."
);
}
PADDLE_ENFORCE
(
!
ins
.
empty
(),
"There is no next data."
);
PADDLE_ENFORCE_EQ
(
ins
.
size
(),
out_arg_names
.
size
());
for
(
size_t
i
=
0
;
i
<
ins
.
size
();
++
i
)
{
auto
*
out
=
...
...
paddle/fluid/operators/reader/CMakeLists.txt
浏览文件 @
90084a25
...
...
@@ -22,5 +22,6 @@ reader_library(create_batch_reader_op SRCS create_batch_reader_op.cc)
reader_library
(
create_recordio_file_reader_op SRCS create_recordio_file_reader_op.cc
)
reader_library
(
create_double_buffer_reader_op SRCS create_double_buffer_reader_op.cc
)
reader_library
(
create_multi_pass_reader_op SRCS create_multi_pass_reader_op.cc
)
reader_library
(
create_threaded_reader_op SRCS create_threaded_reader_op.cc
)
# Export local libraries to parent
set
(
READER_LIBRARY
${
LOCAL_READER_LIBS
}
PARENT_SCOPE
)
paddle/fluid/operators/reader/create_double_buffer_reader_op.cc
浏览文件 @
90084a25
...
...
@@ -63,13 +63,14 @@ class DoubleBufferReader : public framework::DecoratedReader {
StartPrefetcher
();
}
bool
HasNext
()
const
override
;
void
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
override
;
void
ReInit
()
override
;
~
DoubleBufferReader
()
{
EndPrefetcher
();
}
private:
bool
HasNext
()
const
;
void
StartPrefetcher
()
{
channel_
=
framework
::
MakeChannel
<
Item
>
(
kChannelSize
);
prefetcher_
=
std
::
thread
([
this
]
{
PrefetchThreadFunc
();
});
...
...
@@ -109,7 +110,9 @@ class CreateDoubleBufferReaderOp : public framework::OperatorBase {
auto
place_str
=
Attr
<
std
::
string
>
(
"place"
);
platform
::
Place
place
;
if
(
place_str
==
"CPU"
)
{
if
(
place_str
==
"AUTO"
)
{
place
=
dev_place
;
}
else
if
(
place_str
==
"CPU"
)
{
place
=
platform
::
CPUPlace
();
}
else
{
std
::
istringstream
sin
(
place_str
);
...
...
@@ -140,28 +143,22 @@ class CreateDoubleBufferReaderOpMaker : public DecoratedReaderMakerBase {
enum_range
.
insert
(
string
::
Sprintf
(
"CUDA:%d"
,
i
));
}
enum_range
.
insert
(
"CPU"
);
AddAttr
<
std
::
string
>
(
"place"
,
"The double buffer place, default is CPU"
)
.
SetDefault
(
"CPU"
)
enum_range
.
insert
(
"AUTO"
);
AddAttr
<
std
::
string
>
(
"place"
,
"The double buffer place"
)
.
SetDefault
(
"AUTO"
)
.
InEnum
({
enum_range
});
}
};
bool
DoubleBufferReader
::
HasNext
()
const
{
while
(
!
channel_
->
IsClosed
()
&&
!
channel_
->
CanReceive
())
{
}
return
channel_
->
CanReceive
();
}
void
DoubleBufferReader
::
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
{
if
(
!
HasNext
())
{
PADDLE_THROW
(
"There is no next data!"
);
}
Item
batch
;
channel_
->
Receive
(
&
batch
);
*
out
=
batch
.
payloads_
;
if
(
batch
.
ctx_
)
{
batch
.
ctx_
->
Wait
();
out
->
clear
();
if
(
HasNext
())
{
Item
batch
;
channel_
->
Receive
(
&
batch
);
*
out
=
batch
.
payloads_
;
if
(
batch
.
ctx_
)
{
batch
.
ctx_
->
Wait
();
}
}
}
...
...
@@ -171,16 +168,26 @@ void DoubleBufferReader::ReInit() {
StartPrefetcher
();
}
bool
DoubleBufferReader
::
HasNext
()
const
{
while
(
!
channel_
->
IsClosed
()
&&
!
channel_
->
CanReceive
())
{
}
return
channel_
->
CanReceive
();
}
void
DoubleBufferReader
::
PrefetchThreadFunc
()
{
VLOG
(
5
)
<<
"A new prefetch thread starts."
;
std
::
vector
<
std
::
vector
<
framework
::
LoDTensor
>>
cpu_tensor_cache
(
kCacheSize
);
std
::
vector
<
std
::
vector
<
framework
::
LoDTensor
>>
gpu_tensor_cache
(
kCacheSize
);
size_t
cached_tensor_id
=
0
;
while
(
reader_
->
HasNext
()
)
{
while
(
true
)
{
Item
batch
;
auto
&
cpu_batch
=
cpu_tensor_cache
[
cached_tensor_id
];
reader_
->
ReadNext
(
&
cpu_batch
);
if
(
cpu_batch
.
empty
())
{
// The underlying reader have no next data.
break
;
}
if
(
platform
::
is_gpu_place
(
place_
))
{
auto
&
gpu_batch
=
gpu_tensor_cache
[
cached_tensor_id
];
auto
*
gpu_ctx
=
ctxs_
[
cached_tensor_id
].
get
();
...
...
paddle/fluid/operators/reader/create_multi_pass_reader_op.cc
浏览文件 @
90084a25
...
...
@@ -25,22 +25,12 @@ class MultiPassReader : public framework::DecoratedReader {
:
DecoratedReader
(
reader
),
pass_num_
(
pass_num
),
pass_count_
(
0
)
{}
void
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
override
{
if
(
!
HasNext
())
{
PADDLE_THROW
(
"There is no next data!"
);
}
reader_
->
ReadNext
(
out
);
}
bool
HasNext
()
const
override
{
if
(
reader_
->
HasNext
())
{
return
true
;
}
else
{
if
(
out
->
empty
())
{
++
pass_count_
;
if
(
pass_count_
>=
pass_num_
)
{
return
false
;
}
else
{
if
(
pass_count_
<
pass_num_
)
{
reader_
->
ReInit
();
re
turn
true
;
re
ader_
->
ReadNext
(
out
)
;
}
}
}
...
...
paddle/fluid/operators/reader/create_random_data_generator_op.cc
浏览文件 @
90084a25
...
...
@@ -52,8 +52,6 @@ class RandomDataGenerator : public framework::ReaderBase {
void
ReInit
()
override
{
return
;
}
bool
HasNext
()
const
override
{
return
true
;
}
private:
float
min_
;
float
max_
;
...
...
@@ -74,7 +72,7 @@ class CreateRandomDataGeneratorOp : public framework::OperatorBase {
const
auto
&
ranks
=
Attr
<
std
::
vector
<
int
>>
(
"ranks"
);
PADDLE_ENFORCE
(
!
shape_concat
.
empty
()
&&
!
ranks
.
empty
());
PADDLE_ENFORCE_EQ
(
std
::
accumulate
(
ranks
.
begin
(),
ranks
.
end
(),
0
),
int
(
shape_concat
.
size
()),
static_cast
<
int
>
(
shape_concat
.
size
()),
"The accumulate of all ranks should be equal to the "
"shape concat's length."
);
std
::
vector
<
framework
::
DDim
>
shapes
=
RestoreShapes
(
shape_concat
,
ranks
);
...
...
paddle/fluid/operators/reader/create_recordio_file_reader_op.cc
浏览文件 @
90084a25
...
...
@@ -12,8 +12,6 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include <mutex>
#include <thread>
#include "paddle/fluid/operators/reader/reader_op_registry.h"
#include "paddle/fluid/recordio/scanner.h"
...
...
@@ -35,17 +33,15 @@ class RecordIOFileReader : public framework::FileReader {
LOG
(
INFO
)
<<
"Creating file reader"
<<
filename
;
}
bool
HasNext
()
const
override
{
return
scanner_
.
HasNext
();
}
void
ReInit
()
override
{
scanner_
.
Reset
();
}
protected:
void
ReadNextImpl
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
override
{
if
(
ThreadSafe
)
{
std
::
lock_guard
<
std
::
mutex
>
guard
(
*
mutex_
);
*
out
=
framework
::
ReadFromRecordIO
(
scanner_
,
dev_ctx_
);
*
out
=
framework
::
ReadFromRecordIO
(
&
scanner_
,
dev_ctx_
);
}
else
{
*
out
=
framework
::
ReadFromRecordIO
(
scanner_
,
dev_ctx_
);
*
out
=
framework
::
ReadFromRecordIO
(
&
scanner_
,
dev_ctx_
);
}
}
...
...
@@ -66,7 +62,7 @@ class CreateRecordIOReaderOp : public framework::OperatorBase {
const
auto
&
ranks
=
Attr
<
std
::
vector
<
int
>>
(
"ranks"
);
PADDLE_ENFORCE
(
!
shape_concat
.
empty
()
&&
!
ranks
.
empty
());
PADDLE_ENFORCE_EQ
(
std
::
accumulate
(
ranks
.
begin
(),
ranks
.
end
(),
0
),
int
(
shape_concat
.
size
()),
static_cast
<
int
>
(
shape_concat
.
size
()),
"The accumulate of all ranks should be equal to the "
"shape concat's length."
);
std
::
string
filename
=
Attr
<
std
::
string
>
(
"filename"
);
...
...
paddle/fluid/operators/reader/create_shuffle_reader_op.cc
浏览文件 @
90084a25
...
...
@@ -30,35 +30,33 @@ class ShuffleReader : public framework::DecoratedReader {
std
::
random_device
device
;
seed_
=
device
();
}
Re
adIntoBuffers
();
Re
loadBuffer
();
}
void
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
override
{
if
(
!
HasNext
())
{
PADDLE_THROW
(
"There is no next data!"
);
}
out
->
clear
();
if
(
iteration_pos_
>=
buffer_
.
size
())
{
VLOG
(
10
)
<<
"Resetting shuffle buffer"
;
ReadIntoBuffers
();
ReloadBuffer
();
if
(
buffer_
.
empty
())
{
return
;
}
}
*
out
=
buffer_
[
iteration_pos_
++
];
}
bool
HasNext
()
const
override
{
return
iteration_pos_
<
buffer_
.
size
()
||
reader_
->
HasNext
();
}
private:
void
Re
adIntoBuffers
()
{
void
Re
loadBuffer
()
{
buffer_
.
clear
();
buffer_
.
reserve
(
buffer_size_
);
iteration_pos_
=
0
;
for
(
size_t
i
=
0
;
i
<
buffer_size_
;
++
i
)
{
if
(
!
reader_
->
HasNext
())
{
std
::
vector
<
framework
::
LoDTensor
>
ins
;
reader_
->
ReadNext
(
&
ins
);
if
(
ins
.
empty
())
{
break
;
}
buffer_
.
emplace_back
();
reader_
->
ReadNext
(
&
buffer_
.
back
());
buffer_
.
emplace_back
(
ins
);
}
std
::
mt19937
g
(
seed_
);
std
::
shuffle
(
buffer_
.
begin
(),
buffer_
.
end
(),
g
);
...
...
paddle/fluid/operators/reader/create_threaded_reader_op.cc
0 → 100644
浏览文件 @
90084a25
// Copyright (c) 2018 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.
#include "paddle/fluid/operators/detail/safe_ref.h"
#include "paddle/fluid/operators/reader/reader_op_registry.h"
namespace
paddle
{
namespace
operators
{
namespace
reader
{
class
ThreadedReader
:
public
framework
::
DecoratedReader
{
public:
ThreadedReader
(
ReaderBase
*
reader
,
bool
safe_mode
)
:
DecoratedReader
(
reader
),
safe_mode_
(
safe_mode
)
{}
void
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
override
{
std
::
lock_guard
<
std
::
mutex
>
lock
(
mutex_
);
reader_
->
ReadNext
(
out
);
}
void
ReInit
()
override
{
if
(
safe_mode_
)
{
PADDLE_THROW
(
"ThreadedReader::ReInit() is disabled when 'safe_mode' is true."
);
}
VLOG
(
5
)
<<
"ThreadedReader::ReInit() is invoked! It might be buggy in "
"multi-thread environment."
;
reader_
->
ReInit
();
}
private:
bool
safe_mode_
;
std
::
mutex
mutex_
;
};
class
CreateThreadedReaderOp
:
public
framework
::
OperatorBase
{
public:
using
framework
::
OperatorBase
::
OperatorBase
;
private:
void
RunImpl
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
override
{
auto
*
out
=
detail
::
Ref
(
scope
.
FindVar
(
Output
(
"Out"
)))
.
GetMutable
<
framework
::
ReaderHolder
>
();
if
(
out
->
Get
()
!=
nullptr
)
{
return
;
}
const
auto
&
underlying_reader
=
scope
.
FindVar
(
Input
(
"UnderlyingReader"
))
->
Get
<
framework
::
ReaderHolder
>
();
bool
safe_mode
=
Attr
<
bool
>
(
"safe_mode"
);
out
->
Reset
(
new
ThreadedReader
(
underlying_reader
.
Get
(),
safe_mode
));
}
};
class
CreateThreadedReaderOpMaker
:
public
DecoratedReaderMakerBase
{
public:
CreateThreadedReaderOpMaker
(
OpProto
*
op_proto
,
OpAttrChecker
*
op_checker
)
:
DecoratedReaderMakerBase
(
op_proto
,
op_checker
)
{
AddAttr
<
bool
>
(
"safe_mode"
,
"When 'safe_mode' is true, 'ReInit()' is disabled to avoid "
"unexpected bugs in multi-thread environment."
)
.
SetDefault
(
true
);
AddComment
(
R"DOC(
CreateThreadedReader Operator
This operator creates a threaded reader. A threaded reader's
'ReadNext()' can be invoked by several threads at the same
time.
When the attribute 'safe_mode' is true, the threaded reader's
'ReInit()' is disabled to avoid unexpected bugs in multi-thread
environment.
)DOC"
);
}
};
}
// namespace reader
}
// namespace operators
}
// namespace paddle
namespace
reader
=
paddle
::
operators
::
reader
;
REGISTER_DECORATED_READER_OPERATOR
(
create_threaded_reader
,
reader
::
CreateThreadedReaderOp
,
reader
::
CreateThreadedReaderOpMaker
);
paddle/fluid/operators/reader/open_files_op.cc
浏览文件 @
90084a25
...
...
@@ -12,6 +12,8 @@
// See the License for the specific language governing permissions and
// limitations under the License.
#include <thread> // NOLINT
#include "paddle/fluid/framework/channel.h"
#include "paddle/fluid/operators/reader/reader_op_registry.h"
...
...
@@ -19,38 +21,23 @@ namespace paddle {
namespace
operators
{
namespace
reader
{
class
Multi
p
leReader
:
public
framework
::
ReaderBase
{
class
Multi
Fi
leReader
:
public
framework
::
ReaderBase
{
public:
class
ThreadBufferMap
{
public:
std
::
vector
<
framework
::
LoDTensor
>&
operator
[](
const
std
::
thread
::
id
&
thread_id
)
{
std
::
lock_guard
<
std
::
mutex
>
lock
(
mutex_
);
return
buffer_
[
thread_id
];
}
void
Clear
()
{
buffer_
.
clear
();
}
private:
std
::
mutex
mutex_
;
std
::
unordered_map
<
std
::
thread
::
id
,
std
::
vector
<
framework
::
LoDTensor
>>
buffer_
;
};
MultipleReader
(
const
std
::
vector
<
std
::
string
>&
file_names
,
const
std
::
vector
<
framework
::
DDim
>&
dims
,
size_t
thread_num
)
:
file_names_
(
file_names
),
dims_
(
dims
)
{
MultiFileReader
(
const
std
::
vector
<
std
::
string
>&
file_names
,
const
std
::
vector
<
framework
::
DDim
>&
dims
,
size_t
thread_num
,
size_t
buffer_size
)
:
file_names_
(
file_names
),
dims_
(
dims
),
buffer_size_
(
buffer_size
)
{
prefetchers_
.
resize
(
thread_num
);
StartNewScheduler
();
}
void
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
override
;
bool
HasNext
()
const
override
;
void
ReInit
()
override
;
~
Multi
p
leReader
()
{
EndScheduler
();
}
~
Multi
Fi
leReader
()
{
EndScheduler
();
}
private:
bool
HasNext
();
void
StartNewScheduler
();
void
EndScheduler
();
void
ScheduleThreadFunc
();
...
...
@@ -60,39 +47,36 @@ class MultipleReader : public framework::ReaderBase {
std
::
vector
<
framework
::
DDim
>
dims_
;
std
::
thread
scheduler_
;
std
::
vector
<
std
::
thread
>
prefetchers_
;
size_t
buffer_size_
;
framework
::
Channel
<
size_t
>*
waiting_file_idx_
;
framework
::
Channel
<
size_t
>*
available_thread_idx_
;
framework
::
Channel
<
std
::
vector
<
framework
::
LoDTensor
>>*
buffer_
;
mutable
ThreadBufferMap
thread_buffer_map_
;
};
void
MultipleReader
::
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
{
if
(
!
HasNext
())
{
PADDLE_THROW
(
"There is no next data!"
);
void
MultiFileReader
::
ReadNext
(
std
::
vector
<
framework
::
LoDTensor
>*
out
)
{
out
->
clear
();
if
(
HasNext
())
{
buffer_
->
Receive
(
out
);
}
auto
&
thread_local_buffer
=
thread_buffer_map_
[
std
::
this_thread
::
get_id
()];
*
out
=
thread_local_buffer
;
thread_local_buffer
.
clear
();
}
bool
MultipleReader
::
HasNext
()
const
{
auto
&
thread_local_buffer
=
thread_buffer_map_
[
std
::
this_thread
::
get_id
()];
return
thread_local_buffer
.
empty
()
?
buffer_
->
Receive
(
&
thread_local_buffer
)
:
true
;
}
void
Multi
p
leReader
::
ReInit
()
{
void
Multi
Fi
leReader
::
ReInit
()
{
EndScheduler
();
thread_buffer_map_
.
Clear
();
StartNewScheduler
();
}
void
MultipleReader
::
StartNewScheduler
()
{
bool
MultiFileReader
::
HasNext
()
{
while
(
!
buffer_
->
IsClosed
()
&&
!
buffer_
->
CanReceive
())
{
}
return
buffer_
->
CanReceive
();
}
void
MultiFileReader
::
StartNewScheduler
()
{
size_t
thread_num
=
prefetchers_
.
size
();
waiting_file_idx_
=
framework
::
MakeChannel
<
size_t
>
(
file_names_
.
size
());
available_thread_idx_
=
framework
::
MakeChannel
<
size_t
>
(
thread_num
);
buffer_
=
framework
::
MakeChannel
<
std
::
vector
<
framework
::
LoDTensor
>>
(
thread_num
);
framework
::
MakeChannel
<
std
::
vector
<
framework
::
LoDTensor
>>
(
buffer_size_
);
for
(
size_t
i
=
0
;
i
<
file_names_
.
size
();
++
i
)
{
waiting_file_idx_
->
Send
(
&
i
);
...
...
@@ -105,7 +89,7 @@ void MultipleReader::StartNewScheduler() {
scheduler_
=
std
::
thread
([
this
]
{
ScheduleThreadFunc
();
});
}
void
Multi
p
leReader
::
EndScheduler
()
{
void
Multi
Fi
leReader
::
EndScheduler
()
{
available_thread_idx_
->
Close
();
buffer_
->
Close
();
waiting_file_idx_
->
Close
();
...
...
@@ -117,8 +101,8 @@ void MultipleReader::EndScheduler() {
delete
waiting_file_idx_
;
}
void
Multi
p
leReader
::
ScheduleThreadFunc
()
{
VLOG
(
5
)
<<
"Multi
p
leReader schedule thread starts."
;
void
Multi
Fi
leReader
::
ScheduleThreadFunc
()
{
VLOG
(
5
)
<<
"Multi
Fi
leReader schedule thread starts."
;
size_t
completed_thread_num
=
0
;
size_t
thread_idx
;
while
(
available_thread_idx_
->
Receive
(
&
thread_idx
))
{
...
...
@@ -150,17 +134,20 @@ void MultipleReader::ScheduleThreadFunc() {
p
.
join
();
}
}
VLOG
(
5
)
<<
"Multi
p
leReader schedule thread terminates."
;
VLOG
(
5
)
<<
"Multi
Fi
leReader schedule thread terminates."
;
}
void
Multi
p
leReader
::
PrefetchThreadFunc
(
std
::
string
file_name
,
size_t
thread_idx
)
{
void
Multi
Fi
leReader
::
PrefetchThreadFunc
(
std
::
string
file_name
,
size_t
thread_idx
)
{
VLOG
(
5
)
<<
"The prefetch thread of file '"
<<
file_name
<<
"' starts."
;
std
::
unique_ptr
<
framework
::
ReaderBase
>
reader
=
CreateReaderByFileName
(
file_name
,
dims_
);
while
(
reader
->
HasNext
()
)
{
while
(
true
)
{
std
::
vector
<
framework
::
LoDTensor
>
ins
;
reader
->
ReadNext
(
&
ins
);
if
(
ins
.
empty
())
{
break
;
}
try
{
buffer_
->
Send
(
&
ins
);
}
catch
(
paddle
::
platform
::
EnforceNotMet
e
)
{
...
...
@@ -197,11 +184,13 @@ class OpenFilesOp : public framework::OperatorBase {
const
auto
&
file_names
=
Attr
<
std
::
vector
<
std
::
string
>>
(
"file_names"
);
PADDLE_ENFORCE
(
!
file_names
.
empty
(),
"No file to be read!"
);
const
size_t
thread_num
=
Attr
<
int
>
(
"thread_num"
);
const
size_t
buffer_size
=
Attr
<
int
>
(
"buffer_size"
);
auto
*
out
=
scope
.
FindVar
(
Output
(
"Out"
))
->
template
GetMutable
<
framework
::
ReaderHolder
>();
out
->
Reset
(
new
MultipleReader
(
file_names
,
RestoreShapes
(
shape_concat
,
ranks
),
thread_num
));
out
->
Reset
(
new
MultiFileReader
(
file_names
,
RestoreShapes
(
shape_concat
,
ranks
),
thread_num
,
buffer_size
));
}
};
...
...
@@ -212,11 +201,12 @@ class OpenFilesOpMaker : public FileReaderMakerBase {
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"file_names"
,
"Files to be read."
);
AddAttr
<
int
>
(
"thread_num"
,
"The maximal concurrent prefetch thread number."
)
.
GreaterThan
(
0
);
AddAttr
<
int
>
(
"buffer_size"
,
"The size of prefetch buffer."
).
GreaterThan
(
0
);
AddComment
(
R"DOC(
OpenFiles Operator
An OpenFilesOp creates a Multi
p
leReader, which is able to
An OpenFilesOp creates a Multi
Fi
leReader, which is able to
read data multi-threaded from multiple files.
)DOC"
);
}
...
...
paddle/fluid/pybind/pybind.cc
浏览文件 @
90084a25
...
...
@@ -252,7 +252,6 @@ All parameter, weight, gradient are variables in Paddle.
py
::
return_value_policy
::
reference
);
py
::
class_
<
framework
::
ReaderHolder
>
(
m
,
"Reader"
,
""
)
.
def
(
"has_next"
,
&
framework
::
ReaderHolder
::
HasNext
)
.
def
(
"reset"
,
&
framework
::
ReaderHolder
::
ReInit
);
py
::
class_
<
Scope
>
(
m
,
"Scope"
,
""
)
...
...
paddle/fluid/pybind/recordio.cc
浏览文件 @
90084a25
...
...
@@ -39,7 +39,7 @@ class RecordIOWriter {
void
CompleteAppendTensor
()
{
auto
&
ctx
=
*
platform
::
DeviceContextPool
::
Instance
().
Get
(
platform
::
CPUPlace
());
framework
::
WriteToRecordIO
(
writer_
,
tensors_
,
ctx
);
framework
::
WriteToRecordIO
(
&
writer_
,
tensors_
,
ctx
);
tensors_
.
clear
();
}
...
...
python/paddle/fluid/layers/io.py
浏览文件 @
90084a25
...
...
@@ -21,8 +21,7 @@ from ..executor import global_scope
__all__
=
[
'data'
,
'BlockGuardServ'
,
'ListenAndServ'
,
'Send'
,
'open_recordio_file'
,
'open_files'
,
'read_file'
,
'create_shuffle_reader'
,
'create_double_buffer_reader'
,
'create_multi_pass_reader'
'open_files'
,
'read_file'
,
'shuffle'
,
'double_buffer'
]
...
...
@@ -237,13 +236,9 @@ def monkey_patch_reader_methods(reader):
var
=
scope
.
find_var
(
reader
.
name
)
return
var
.
get_reader
()
def
eof
():
return
not
__get_reader__
().
has_next
()
def
reset
():
return
__get_reader__
().
reset
()
reader
.
eof
=
eof
reader
.
reset
=
reset
reader
.
stop_gradient
=
True
reader
.
persistable
=
True
...
...
@@ -283,7 +278,42 @@ def _copy_reader_create_op_(block, op):
return
new_op
def
open_recordio_file
(
filename
,
shapes
,
lod_levels
,
dtypes
):
def
open_recordio_file
(
filename
,
shapes
,
lod_levels
,
dtypes
,
pass_num
=
1
,
for_parallel
=
False
):
"""
Open a RecordIO file
This layer takes a RecordIO file to read from and returns a Reader Variable.
Via the Reader Variable, we can get data from the given RecordIO file.
Args:
filename(str): The RecordIO file's name.
shapes(list): List of tuples which declaring data shapes.
lod_levels(list): List of ints which declaring data lod_level.
dtypes(list): List of strs which declaring data type.
pass_num(int): Number of passes to run.
for_parallel(Bool): Set it as True if you are going to run
subsequent operators in parallel.
Returns:
Variable: A Reader Variable via which we can get RecordIO file data.
Examples:
.. code-block:: python
reader = fluid.layers.io.open_recordio_file(
filename='./data.recordio',
shapes=[(3,224,224), (1)],
lod_levels=[0, 0],
dtypes=['float32', 'int64'])
# Via the reader, we can use 'read_file' layer to get data:
image, label = fluid.layers.read_file(reader)
"""
dtypes
=
[
convert_np_dtype_to_dtype_
(
dt
)
for
dt
in
dtypes
]
shape_concat
=
[]
ranks
=
[]
...
...
@@ -310,10 +340,63 @@ def open_recordio_file(filename, shapes, lod_levels, dtypes):
startup_var
.
persistable
=
True
main_prog_var
=
_copy_reader_var_
(
default_main_program
().
current_block
(),
startup_var
)
if
pass_num
>
1
:
main_prog_var
=
multi_pass
(
reader
=
main_prog_var
,
pass_num
=
pass_num
)
if
for_parallel
:
main_prog_var
=
parallel
(
reader
=
main_prog_var
)
return
monkey_patch_reader_methods
(
main_prog_var
)
def
open_files
(
filenames
,
thread_num
,
shapes
,
lod_levels
,
dtypes
):
def
open_files
(
filenames
,
shapes
,
lod_levels
,
dtypes
,
thread_num
,
buffer_size
=
None
,
pass_num
=
1
,
for_parallel
=
False
):
"""
Open files
This layer takes a list of files to read from and returns a Reader Variable.
Via the Reader Variable, we can get data from given files. All files must
have name suffixs to indicate their formats, e.g., '*.recordio'.
Args:
filenames(list): The list of file names.
shapes(list): List of tuples which declaring data shapes.
lod_levels(list): List of ints which declaring data lod_level.
dtypes(list): List of strs which declaring data type.
thread_num(int): The maximal concurrent prefetch thread number.
buffer_size(int): The size of prefetch buffer.
pass_num(int): Number of passes to run.
for_parallel(Bool): Set it as True if you are going to run
subsequent operators in parallel.
Returns:
Variable: A Reader Variable via which we can get file data.
Examples:
.. code-block:: python
reader = fluid.layers.io.open_files(filenames=['./data1.recordio',
'./data2.recordio'],
shapes=[(3,224,224), (1)],
lod_levels=[0, 0],
dtypes=['float32', 'int64'],
thread_num=2,
buffer_size=2)
# Via the reader, we can use 'read_file' layer to get data:
image, label = fluid.layers.io.read_file(reader)
"""
if
buffer_size
is
None
:
buffer_size
=
thread_num
if
isinstance
(
filenames
,
basestring
):
filenames
=
[
filenames
]
dtypes
=
[
convert_np_dtype_to_dtype_
(
dt
)
for
dt
in
dtypes
]
shape_concat
=
[]
ranks
=
[]
...
...
@@ -322,29 +405,36 @@ def open_files(filenames, thread_num, shapes, lod_levels, dtypes):
shape_concat
.
extend
(
shape
)
ranks
.
append
(
len
(
shape
))
var_name
=
unique_name
(
'multiple_reader'
)
multi_file_reader_name
=
unique_name
(
'multi_file_reader'
)
startup_blk
=
default_startup_program
().
current_block
()
startup_
var
=
startup_blk
.
create_var
(
name
=
va
r_name
)
startup_
reader
=
startup_blk
.
create_var
(
name
=
multi_file_reade
r_name
)
startup_blk
.
append_op
(
type
=
'open_files'
,
outputs
=
{
'Out'
:
[
startup_
va
r
]},
outputs
=
{
'Out'
:
[
startup_
reade
r
]},
attrs
=
{
'shape_concat'
:
shape_concat
,
'lod_levels'
:
lod_levels
,
'ranks'
:
ranks
,
'file_names'
:
filenames
,
'thread_num'
:
thread_num
'thread_num'
:
thread_num
,
'buffer_size'
:
buffer_size
})
startup_var
.
desc
.
set_dtypes
(
dtypes
)
startup_var
.
persistable
=
True
main_prog_var
=
_copy_reader_var_
(
default_main_program
().
current_block
(),
startup_var
)
return
monkey_patch_reader_methods
(
main_prog_var
)
startup_reader
.
desc
.
set_dtypes
(
dtypes
)
startup_reader
.
persistable
=
True
main_prog_reader
=
_copy_reader_var_
(
default_main_program
().
current_block
(),
startup_reader
)
if
pass_num
>
1
:
main_prog_reader
=
multi_pass
(
reader
=
main_prog_reader
,
pass_num
=
pass_num
)
if
for_parallel
:
main_prog_reader
=
parallel
(
reader
=
main_prog_reader
)
return
monkey_patch_reader_methods
(
main_prog_reader
)
def
__create_decorated_reader__
(
op_type
,
reader
,
attrs
):
def
__create_
shared_
decorated_reader__
(
op_type
,
reader
,
attrs
):
var_name
=
unique_name
(
op_type
)
startup_blk
=
default_startup_program
().
current_block
()
startup_var
=
startup_blk
.
create_var
(
name
=
var_name
)
...
...
@@ -360,22 +450,41 @@ def __create_decorated_reader__(op_type, reader, attrs):
return
monkey_patch_reader_methods
(
main_prog_var
)
def
create_shuffle_reader
(
reader
,
buffer_size
):
return
__create_decorated_reader__
(
'create_shuffle_reader'
,
reader
,
{
'buffer_size'
:
int
(
buffer_size
)})
def
__create_unshared_decorated_reader__
(
op_type
,
reader
,
attrs
):
new_reader_name
=
unique_name
(
op_type
)
main_blk
=
default_main_program
().
current_block
()
new_reader
=
main_blk
.
create_var
(
name
=
new_reader_name
)
main_blk
.
append_op
(
type
=
op_type
,
inputs
=
{
'UnderlyingReader'
:
reader
},
outputs
=
{
'Out'
:
[
new_reader
]},
attrs
=
attrs
)
new_reader
.
persistable
=
True
new_reader
.
stop_gradient
=
True
return
monkey_patch_reader_methods
(
new_reader
)
def
shuffle
(
reader
,
buffer_size
):
return
__create_unshared_decorated_reader__
(
'create_shuffle_reader'
,
reader
,
{
'buffer_size'
:
int
(
buffer_size
)})
def
create_double_buffer_read
er
(
reader
,
place
=
None
):
def
double_buff
er
(
reader
,
place
=
None
):
attrs
=
dict
()
if
place
is
not
None
:
attrs
[
'place'
]
=
str
(
place
).
upper
()
return
__create_decorated_reader__
(
'create_double_buffer_reader'
,
reader
,
attrs
)
return
__create_unshared_decorated_reader__
(
'create_double_buffer_reader'
,
reader
,
attrs
)
def
multi_pass
(
reader
,
pass_num
):
return
__create_shared_decorated_reader__
(
'create_multi_pass_reader'
,
reader
,
{
'pass_num'
:
int
(
pass_num
)})
def
create_multi_pass_reader
(
reader
,
pass_num
):
return
__create_
decorated_reader__
(
'create_multi_pass
_reader'
,
reader
,
{
'pass_num'
:
int
(
pass_num
)
})
def
parallel
(
reader
):
return
__create_
shared_decorated_reader__
(
'create_threaded
_reader'
,
reader
,
{
})
def
read_file
(
file_obj
):
...
...
python/paddle/fluid/tests/unittests/test_multi
p
le_reader.py
→
python/paddle/fluid/tests/unittests/test_multi
_fi
le_reader.py
浏览文件 @
90084a25
...
...
@@ -61,8 +61,12 @@ class TestMultipleReader(unittest.TestCase):
exe
.
run
(
fluid
.
default_startup_program
())
batch_count
=
0
while
not
data_files
.
eof
():
img_val
,
=
exe
.
run
(
fetch_list
=
[
img
])
while
True
:
try
:
img_val
,
=
exe
.
run
(
fetch_list
=
[
img
])
except
fluid
.
core
.
EnforceNotMet
as
ex
:
self
.
assertIn
(
"There is no next data."
,
ex
.
message
)
break
batch_count
+=
1
self
.
assertLessEqual
(
img_val
.
shape
[
0
],
self
.
batch_size
)
data_files
.
reset
()
...
...
python/paddle/fluid/tests/unittests/test_multi_pass_reader.py
浏览文件 @
90084a25
...
...
@@ -44,7 +44,7 @@ class TestMultipleReader(unittest.TestCase):
shapes
=
[(
-
1
,
784
),
(
-
1
,
1
)],
lod_levels
=
[
0
,
0
],
dtypes
=
[
'float32'
,
'int64'
])
data_file
=
fluid
.
layers
.
create_multi_pass_reader
(
data_file
=
fluid
.
layers
.
io
.
multi_pass
(
reader
=
data_file
,
pass_num
=
self
.
pass_num
)
img
,
label
=
fluid
.
layers
.
read_file
(
data_file
)
...
...
@@ -57,8 +57,12 @@ class TestMultipleReader(unittest.TestCase):
exe
.
run
(
fluid
.
default_startup_program
())
batch_count
=
0
while
not
data_file
.
eof
():
img_val
,
=
exe
.
run
(
fetch_list
=
[
img
])
while
True
:
try
:
img_val
,
=
exe
.
run
(
fetch_list
=
[
img
])
except
fluid
.
core
.
EnforceNotMet
as
ex
:
self
.
assertIn
(
"There is no next data."
,
ex
.
message
)
break
batch_count
+=
1
self
.
assertLessEqual
(
img_val
.
shape
[
0
],
self
.
batch_size
)
data_file
.
reset
()
...
...
python/paddle/fluid/tests/unittests/test_parallel_executor.py
浏览文件 @
90084a25
...
...
@@ -26,11 +26,14 @@ def simple_fc_net(use_feed):
img
=
fluid
.
layers
.
data
(
name
=
'image'
,
shape
=
[
784
],
dtype
=
'float32'
)
label
=
fluid
.
layers
.
data
(
name
=
'label'
,
shape
=
[
1
],
dtype
=
'int64'
)
else
:
reader
=
fluid
.
layers
.
open_
recordio_file
(
filename
=
'./mnist.recordio'
,
reader
=
fluid
.
layers
.
open_
files
(
filename
s
=
[
'./mnist.recordio'
]
,
shapes
=
[[
-
1
,
784
],
[
-
1
,
1
]],
lod_levels
=
[
0
,
0
],
dtypes
=
[
'float32'
,
'int64'
])
dtypes
=
[
'float32'
,
'int64'
],
thread_num
=
1
,
for_parallel
=
True
)
reader
=
fluid
.
layers
.
io
.
double_buffer
(
reader
)
img
,
label
=
fluid
.
layers
.
read_file
(
reader
)
hidden
=
img
for
_
in
xrange
(
4
):
...
...
@@ -51,11 +54,14 @@ def fc_with_batchnorm(use_feed):
img
=
fluid
.
layers
.
data
(
name
=
'image'
,
shape
=
[
784
],
dtype
=
'float32'
)
label
=
fluid
.
layers
.
data
(
name
=
'label'
,
shape
=
[
1
],
dtype
=
'int64'
)
else
:
reader
=
fluid
.
layers
.
open_
recordio_file
(
filename
=
'./mnist.recordio'
,
reader
=
fluid
.
layers
.
open_
files
(
filename
s
=
[
'mnist.recordio'
]
,
shapes
=
[[
-
1
,
784
],
[
-
1
,
1
]],
lod_levels
=
[
0
,
0
],
dtypes
=
[
'float32'
,
'int64'
])
dtypes
=
[
'float32'
,
'int64'
],
thread_num
=
1
,
for_parallel
=
True
)
reader
=
fluid
.
layers
.
io
.
double_buffer
(
reader
)
img
,
label
=
fluid
.
layers
.
read_file
(
reader
)
hidden
=
img
...
...
python/paddle/fluid/tests/unittests/test_recordio_reader.py
浏览文件 @
90084a25
...
...
@@ -65,8 +65,13 @@ class TestRecordIO(unittest.TestCase):
# train a pass
batch_id
=
0
while
not
data_file
.
eof
():
tmp
,
=
exe
.
run
(
fetch_list
=
[
avg_loss
])
while
True
:
try
:
tmp
,
=
exe
.
run
(
fetch_list
=
[
avg_loss
])
except
fluid
.
core
.
EnforceNotMet
as
ex
:
self
.
assertIn
(
"There is no next data."
,
ex
.
message
)
break
avg_loss_np
.
append
(
tmp
)
batch_id
+=
1
data_file
.
reset
()
...
...
@@ -74,8 +79,8 @@ class TestRecordIO(unittest.TestCase):
self
.
assertLess
(
avg_loss_np
[
-
1
],
avg_loss_np
[
0
])
def
test_shuffle_reader
(
self
):
self
.
test_main
(
decorator_callback
=
lambda
reader
:
fluid
.
layers
.
create_shuffle_reader
(
reader
,
buffer_size
=
200
))
self
.
test_main
(
decorator_callback
=
lambda
reader
:
fluid
.
layers
.
io
.
shuffle
(
reader
,
buffer_size
=
200
))
def
test_double_buffer_reader
(
self
):
self
.
test_main
(
decorator_callback
=
lambda
reader
:
fluid
.
layers
.
create_double_buffer_read
er
(
reader
,
self
.
test_main
(
decorator_callback
=
lambda
reader
:
fluid
.
layers
.
io
.
double_buff
er
(
reader
,
place
=
'cuda:0'
if
fluid
.
core
.
is_compiled_with_cuda
()
else
'cpu'
))
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