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a4586f48
编写于
8月 11, 2020
作者:
W
Wilber
提交者:
GitHub
8月 11, 2020
浏览文件
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差异文件
[CUDA] [Fuse] Fuse relu. (#4090)
上级
d1258513
变更
12
隐藏空白更改
内联
并排
Showing
12 changed file
with
228 addition
and
3 deletion
+228
-3
lite/api/paddle_use_passes.h
lite/api/paddle_use_passes.h
+1
-0
lite/core/mir/CMakeLists.txt
lite/core/mir/CMakeLists.txt
+1
-0
lite/core/mir/fusion/CMakeLists.txt
lite/core/mir/fusion/CMakeLists.txt
+4
-0
lite/core/mir/fusion/fc_fuse_pass.cc
lite/core/mir/fusion/fc_fuse_pass.cc
+1
-1
lite/core/mir/fusion/match_matrix_activation_fuse_pass.cc
lite/core/mir/fusion/match_matrix_activation_fuse_pass.cc
+38
-0
lite/core/mir/fusion/match_matrix_activation_fuse_pass.h
lite/core/mir/fusion/match_matrix_activation_fuse_pass.h
+32
-0
lite/core/mir/fusion/match_matrix_activation_fuser.cc
lite/core/mir/fusion/match_matrix_activation_fuser.cc
+91
-0
lite/core/mir/fusion/match_matrix_activation_fuser.h
lite/core/mir/fusion/match_matrix_activation_fuser.h
+41
-0
lite/core/mir/fusion/var_conv_2d_activation_fuser.cc
lite/core/mir/fusion/var_conv_2d_activation_fuser.cc
+6
-1
lite/core/optimizer.h
lite/core/optimizer.h
+1
-0
lite/kernels/cuda/match_matrix_tensor_compute.cu
lite/kernels/cuda/match_matrix_tensor_compute.cu
+10
-1
lite/operators/sequence_pool_op.cc
lite/operators/sequence_pool_op.cc
+2
-0
未找到文件。
lite/api/paddle_use_passes.h
浏览文件 @
a4586f48
...
...
@@ -39,6 +39,7 @@ USE_MIR_PASS(identity_dropout_eliminate_pass);
USE_MIR_PASS
(
lite_conv_elementwise_fuse_pass
);
USE_MIR_PASS
(
lite_conv_activation_fuse_pass
);
USE_MIR_PASS
(
lite_var_conv_2d_activation_fuse_pass
);
USE_MIR_PASS
(
lite_match_matrix_activation_fuse_pass
);
USE_MIR_PASS
(
lite_elementwise_activation_fuse_pass
);
USE_MIR_PASS
(
lite_quant_dequant_fuse_pass
);
USE_MIR_PASS
(
type_precision_cast_pass
);
...
...
lite/core/mir/CMakeLists.txt
浏览文件 @
a4586f48
...
...
@@ -29,6 +29,7 @@ lite_cc_library(mir_passes
fusion/__xpu__embedding_with_eltwise_add_fuse_pass.cc
fusion/__xpu__fc_fuse_pass.cc
fusion/__xpu__mmdnn_fuse_pass.cc
fusion/match_matrix_activation_fuse_pass.cc
elimination/identity_scale_eliminate_pass.cc
elimination/identity_dropout_eliminate_pass.cc
elimination/elementwise_mul_constant_eliminate_pass.cc
...
...
lite/core/mir/fusion/CMakeLists.txt
浏览文件 @
a4586f48
...
...
@@ -37,6 +37,9 @@ lite_cc_library(fuse_sequence_pool_concat
lite_cc_library
(
fuse_scale_activation
SRCS scale_activation_fuser.cc
DEPS pattern_matcher_high_api
)
lite_cc_library
(
fuse_match_matrix_activation
SRCS match_matrix_activation_fuser.cc
DEPS pattern_matcher_high_api
)
set
(
mir_fusers
fuse_fc
...
...
@@ -52,6 +55,7 @@ set(mir_fusers
fuse_interpolate
fuse_sequence_pool_concat
fuse_scale_activation
fuse_match_matrix_activation
CACHE INTERNAL
"fusers"
)
if
(
LITE_WITH_LIGHT_WEIGHT_FRAMEWORK
)
...
...
lite/core/mir/fusion/fc_fuse_pass.cc
浏览文件 @
a4586f48
...
...
@@ -23,7 +23,7 @@ namespace lite {
namespace
mir
{
void
FcFusePass
::
Apply
(
const
std
::
unique_ptr
<
SSAGraph
>&
graph
)
{
#if
def LITE_WITH_X86
#if
defined(LITE_WITH_X86) || defined(LITE_WITH_CUDA)
#ifdef LITE_WITH_MLU
fusion
::
FcFuser
fuser
(
false
);
fuser
(
graph
.
get
());
...
...
lite/core/mir/fusion/match_matrix_activation_fuse_pass.cc
0 → 100644
浏览文件 @
a4586f48
// Copyright (c) 2020 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 "lite/core/mir/fusion/match_matrix_activation_fuse_pass.h"
#include <memory>
#include <vector>
#include "lite/core/mir/fusion/match_matrix_activation_fuser.h"
#include "lite/core/mir/pass_registry.h"
namespace
paddle
{
namespace
lite
{
namespace
mir
{
void
MatchMatrixActFusePass
::
Apply
(
const
std
::
unique_ptr
<
SSAGraph
>&
graph
)
{
fusion
::
MatchMatrixActFuser
fuser
(
"relu"
);
fuser
(
graph
.
get
());
}
}
// namespace mir
}
// namespace lite
}
// namespace paddle
REGISTER_MIR_PASS
(
lite_match_matrix_activation_fuse_pass
,
paddle
::
lite
::
mir
::
MatchMatrixActFusePass
)
.
BindTargets
({
TARGET
(
kCUDA
)});
lite/core/mir/fusion/match_matrix_activation_fuse_pass.h
0 → 100644
浏览文件 @
a4586f48
// Copyright (c) 2020 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 <memory>
#include <string>
#include "lite/core/mir/pass.h"
namespace
paddle
{
namespace
lite
{
namespace
mir
{
class
MatchMatrixActFusePass
:
public
ProgramPass
{
public:
void
Apply
(
const
std
::
unique_ptr
<
SSAGraph
>&
graph
)
override
;
};
}
// namespace mir
}
// namespace lite
}
// namespace paddle
lite/core/mir/fusion/match_matrix_activation_fuser.cc
0 → 100644
浏览文件 @
a4586f48
// Copyright (c) 2020 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 "lite/core/mir/fusion/match_matrix_activation_fuser.h"
#include <memory>
#include <vector>
namespace
paddle
{
namespace
lite
{
namespace
mir
{
namespace
fusion
{
void
MatchMatrixActFuser
::
BuildPattern
()
{
// create nodes.
auto
*
x
=
VarNode
(
"x"
)
->
assert_is_op_input
(
"match_matrix_tensor"
,
"X"
);
auto
*
W
=
VarNode
(
"W"
)
->
assert_is_op_input
(
"match_matrix_tensor"
,
"W"
);
auto
*
y
=
VarNode
(
"y"
)
->
assert_is_op_input
(
"match_matrix_tensor"
,
"Y"
);
auto
*
mm
=
OpNode
(
"match_matrix_tensor"
,
"match_matrix_tensor"
);
auto
*
mm_out
=
VarNode
(
"mm_out"
)
->
assert_is_op_output
(
"match_matrix_tensor"
,
"Out"
);
auto
*
mm_tmp
=
VarNode
(
"mm_tmp"
)
->
assert_is_op_output
(
"match_matrix_tensor"
,
"Tmp"
);
auto
*
act
=
OpNode
(
"act"
,
activation_
);
auto
*
out
=
VarNode
(
"Out"
)
->
assert_is_op_output
(
activation_
,
"Out"
);
// create topology.
std
::
vector
<
PMNode
*>
mm_inputs
{
x
,
W
,
y
};
std
::
vector
<
PMNode
*>
mm_ouputs
{
mm_out
,
mm_tmp
};
mm_inputs
>>
*
mm
>>
mm_ouputs
;
// Some op specialities.
mm_out
->
AsIntermediate
();
mm
->
AsIntermediate
();
act
->
AsIntermediate
();
*
mm_out
>>
*
act
>>
*
out
;
}
void
MatchMatrixActFuser
::
InsertNewNode
(
SSAGraph
*
graph
,
const
key2nodes_t
&
matched
)
{
auto
op_desc
=
GenOpDesc
(
matched
);
auto
mm_op
=
LiteOpRegistry
::
Global
().
Create
(
"match_matrix_tensor"
);
auto
mm
=
matched
.
at
(
"match_matrix_tensor"
)
->
stmt
()
->
op
();
auto
*
scope
=
mm
->
scope
();
auto
&
valid_places
=
mm
->
valid_places
();
mm_op
->
Attach
(
op_desc
,
scope
);
auto
*
new_op_node
=
graph
->
GraphCreateInstructNode
(
mm_op
,
valid_places
);
IR_NODE_LINK_TO
(
matched
.
at
(
"x"
),
new_op_node
);
IR_NODE_LINK_TO
(
matched
.
at
(
"W"
),
new_op_node
);
IR_NODE_LINK_TO
(
matched
.
at
(
"y"
),
new_op_node
);
IR_NODE_LINK_TO
(
new_op_node
,
matched
.
at
(
"Out"
));
}
cpp
::
OpDesc
MatchMatrixActFuser
::
GenOpDesc
(
const
key2nodes_t
&
matched
)
{
auto
op_desc
=
*
matched
.
at
(
"match_matrix_tensor"
)
->
stmt
()
->
op_info
();
int
dim_t
=
matched
.
at
(
"match_matrix_tensor"
)
->
stmt
()
->
op_info
()
->
GetAttr
<
int
>
(
"dim_t"
);
op_desc
.
mutable_inputs
()
->
clear
();
op_desc
.
mutable_outputs
()
->
clear
();
op_desc
.
SetType
(
"match_matrix_tensor"
);
op_desc
.
SetInput
(
"X"
,
{
matched
.
at
(
"x"
)
->
arg
()
->
name
});
op_desc
.
SetInput
(
"W"
,
{
matched
.
at
(
"W"
)
->
arg
()
->
name
});
op_desc
.
SetInput
(
"Y"
,
{
matched
.
at
(
"y"
)
->
arg
()
->
name
});
op_desc
.
SetOutput
(
"Out"
,
{
matched
.
at
(
"Out"
)
->
arg
()
->
name
});
op_desc
.
SetOutput
(
"Tmp"
,
{
matched
.
at
(
"mm_tmp"
)
->
arg
()
->
name
});
op_desc
.
SetAttr
(
"dim_t"
,
dim_t
);
op_desc
.
SetAttr
(
"fuse_relu"
,
true
);
return
op_desc
;
}
}
// namespace fusion
}
// namespace mir
}
// namespace lite
}
// namespace paddle
lite/core/mir/fusion/match_matrix_activation_fuser.h
0 → 100644
浏览文件 @
a4586f48
// Copyright (c) 2020 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 <memory>
#include <string>
#include "lite/core/mir/pattern_matcher_high_api.h"
namespace
paddle
{
namespace
lite
{
namespace
mir
{
namespace
fusion
{
class
MatchMatrixActFuser
:
public
FuseBase
{
public:
explicit
MatchMatrixActFuser
(
std
::
string
activation
)
:
activation_
(
activation
)
{}
void
BuildPattern
()
override
;
void
InsertNewNode
(
SSAGraph
*
graph
,
const
key2nodes_t
&
matched
)
override
;
private:
cpp
::
OpDesc
GenOpDesc
(
const
key2nodes_t
&
matched
)
override
;
std
::
string
activation_
;
};
}
// namespace fusion
}
// namespace mir
}
// namespace lite
}
// namespace paddle
lite/core/mir/fusion/var_conv_2d_activation_fuser.cc
浏览文件 @
a4586f48
...
...
@@ -25,6 +25,9 @@ void VarConvActivationFuser::BuildPattern() {
// create nodes.
auto
*
input
=
VarNode
(
"X"
)
->
assert_is_op_input
(
conv_type_
,
"X"
)
->
AsInput
();
auto
*
filter
=
VarNode
(
"W"
)
->
assert_is_op_input
(
conv_type_
,
"W"
)
->
AsInput
();
auto
*
column
=
VarNode
(
"COLUMN"
)
->
assert_is_op_input
(
conv_type_
,
"COLUMN"
)
->
AsInput
();
auto
*
row
=
VarNode
(
"ROW"
)
->
assert_is_op_input
(
conv_type_
,
"ROW"
)
->
AsInput
();
auto
*
conv2d
=
OpNode
(
"var_conv_2d"
,
conv_type_
)
->
AsIntermediate
();
...
...
@@ -42,7 +45,7 @@ void VarConvActivationFuser::BuildPattern() {
VarNode
(
"output"
)
->
assert_is_op_output
(
act_type_
,
"Out"
)
->
AsOutput
();
// create topology.
std
::
vector
<
PMNode
*>
conv2d_inputs
{
filter
,
input
};
std
::
vector
<
PMNode
*>
conv2d_inputs
{
filter
,
input
,
column
,
row
};
conv2d_inputs
>>
*
conv2d
>>
*
conv2d_out
>>
*
act
>>
*
out
;
*
conv2d
>>
*
conv2d_out_1
;
}
...
...
@@ -60,6 +63,8 @@ void VarConvActivationFuser::InsertNewNode(SSAGraph* graph,
IR_NODE_LINK_TO
(
matched
.
at
(
"X"
),
new_op_node
);
IR_NODE_LINK_TO
(
matched
.
at
(
"W"
),
new_op_node
);
IR_NODE_LINK_TO
(
matched
.
at
(
"COLUMN"
),
new_op_node
);
IR_NODE_LINK_TO
(
matched
.
at
(
"ROW"
),
new_op_node
);
IR_NODE_LINK_TO
(
new_op_node
,
matched
.
at
(
"output"
));
}
...
...
lite/core/optimizer.h
浏览文件 @
a4586f48
...
...
@@ -91,6 +91,7 @@ class Optimizer {
// kernels for devices automatically.
"lite_conv_activation_fuse_pass"
,
//
"lite_var_conv_2d_activation_fuse_pass"
,
//
"lite_match_matrix_activation_fuse_pass"
,
//
"lite_fc_fuse_pass"
,
//
"lite_shuffle_channel_fuse_pass"
,
//
"lite_transpose_softmax_transpose_fuse_pass"
,
//
...
...
lite/kernels/cuda/match_matrix_tensor_compute.cu
浏览文件 @
a4586f48
...
...
@@ -52,6 +52,7 @@ __global__ void padding_out(const dtype* src,
const
int
max_len_r
,
const
int
tl
,
const
int
count
,
const
bool
fuse_relu
,
dtype
*
dst
)
{
int
tid
=
threadIdx
.
x
+
blockIdx
.
x
*
blockDim
.
x
;
int
thread_num
=
blockDim
.
x
*
gridDim
.
x
;
...
...
@@ -62,7 +63,13 @@ __global__ void padding_out(const dtype* src,
int
r_id
=
tid
%
max_len_r
;
int
cur_len
=
offset
[
seq_id
+
1
]
-
offset
[
seq_id
];
if
(
r_id
<
cur_len
)
{
dst
[
tid
]
=
src
[(
offset
[
seq_id
]
+
r_id
)
*
tl
+
tl_id
];
if
(
fuse_relu
)
{
dst
[
tid
]
=
src
[(
offset
[
seq_id
]
+
r_id
)
*
tl
+
tl_id
]
>
0
?
src
[(
offset
[
seq_id
]
+
r_id
)
*
tl
+
tl_id
]
:
0
;
}
else
{
dst
[
tid
]
=
src
[(
offset
[
seq_id
]
+
r_id
)
*
tl
+
tl_id
];
}
}
else
{
dst
[
tid
]
=
0.
f
;
}
...
...
@@ -86,6 +93,7 @@ void MatchMatrixTensorCompute::Run() {
auto
*
tmp
=
param
.
tmp
;
int
dim_t
=
param
.
dim_t
;
int
dim_in
=
x
->
dims
()[
1
];
bool
fuse_relu
=
param
.
fuse_relu
;
const
auto
&
offset_l
=
x
->
lod
()[
0
];
const
auto
&
offset_r
=
y
->
lod
()[
0
];
...
...
@@ -155,6 +163,7 @@ void MatchMatrixTensorCompute::Run() {
max_len_r
,
dim_t
*
len_l
,
count
,
fuse_relu
,
out_data
);
out
->
set_lod
(
y
->
lod
());
}
...
...
lite/operators/sequence_pool_op.cc
浏览文件 @
a4586f48
...
...
@@ -43,6 +43,8 @@ bool SequencePoolOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
&
scope
->
FindVar
(
opdesc
.
Input
(
"X"
).
front
())
->
Get
<
lite
::
Tensor
>
());
param_
.
Out
=
scope
->
FindVar
(
opdesc
.
Output
(
"Out"
).
front
())
->
GetMutable
<
lite
::
Tensor
>
();
param_
.
MaxIndex
=
scope
->
FindVar
(
opdesc
.
Output
(
"MaxIndex"
).
front
())
->
GetMutable
<
lite
::
Tensor
>
();
param_
.
pool_type
=
opdesc
.
GetAttr
<
std
::
string
>
(
"pooltype"
);
CHECK
(
param_
.
X
);
CHECK
(
param_
.
Out
);
...
...
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