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体验新版 GitCode,发现更多精彩内容 >>
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提交
32da5e9c
编写于
5月 20, 2019
作者:
T
Tao Luo
提交者:
GitHub
5月 20, 2019
浏览文件
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电子邮件补丁
差异文件
remove unused expected_kernel_cache_pass (#17486)
test=develop
上级
65dd7ec2
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
4 addition
and
92 deletion
+4
-92
paddle/fluid/framework/details/build_strategy.cc
paddle/fluid/framework/details/build_strategy.cc
+0
-6
paddle/fluid/framework/details/build_strategy.h
paddle/fluid/framework/details/build_strategy.h
+0
-1
paddle/fluid/framework/ir/CMakeLists.txt
paddle/fluid/framework/ir/CMakeLists.txt
+0
-1
paddle/fluid/framework/ir/expected_kernel_cache_pass.cc
paddle/fluid/framework/ir/expected_kernel_cache_pass.cc
+0
-37
paddle/fluid/framework/ir/expected_kernel_cache_pass.h
paddle/fluid/framework/ir/expected_kernel_cache_pass.h
+0
-31
paddle/fluid/framework/operator.h
paddle/fluid/framework/operator.h
+0
-6
paddle/fluid/inference/api/analysis_config.cc
paddle/fluid/inference/api/analysis_config.cc
+0
-1
paddle/fluid/inference/api/paddle_pass_builder.cc
paddle/fluid/inference/api/paddle_pass_builder.cc
+3
-5
paddle/fluid/pybind/pybind.cc
paddle/fluid/pybind/pybind.cc
+1
-4
未找到文件。
paddle/fluid/framework/details/build_strategy.cc
浏览文件 @
32da5e9c
...
...
@@ -171,11 +171,6 @@ class ParallelExecutorPassBuilder : public ir::PassBuilder {
AppendPass
(
"runtime_context_cache_pass"
);
}
if
(
strategy_
.
cache_expected_kernel_
)
{
VLOG
(
10
)
<<
"Add expected_kernel_cache_pass"
;
AppendPass
(
"expected_kernel_cache_pass"
);
}
AppendMultiDevPass
(
strategy_
);
if
(
strategy_
.
fuse_all_reduce_ops_
)
{
...
...
@@ -371,7 +366,6 @@ USE_PASS(fuse_sgd_op_pass);
USE_PASS
(
fuse_momentum_op_pass
);
USE_PASS
(
fuse_all_reduce_op_pass
);
USE_PASS
(
runtime_context_cache_pass
);
USE_PASS
(
expected_kernel_cache_pass
);
USE_PASS
(
record_skip_memory_opt_vars_pass
);
#ifdef PADDLE_WITH_MKLDNN
USE_PASS
(
mkldnn_placement_pass
);
...
...
paddle/fluid/framework/details/build_strategy.h
浏览文件 @
32da5e9c
...
...
@@ -109,7 +109,6 @@ struct BuildStrategy {
bool
remove_unnecessary_lock_
{
true
};
bool
cache_runtime_context_
{
false
};
bool
cache_expected_kernel_
{
true
};
std
::
unordered_set
<
std
::
string
>
mkldnn_enabled_op_types_
;
// NOTE:
...
...
paddle/fluid/framework/ir/CMakeLists.txt
浏览文件 @
32da5e9c
...
...
@@ -72,7 +72,6 @@ pass_library(transpose_flatten_concat_fuse_pass inference)
pass_library
(
identity_scale_op_clean_pass base
)
pass_library
(
sync_batch_norm_pass base
)
pass_library
(
runtime_context_cache_pass base
)
pass_library
(
expected_kernel_cache_pass base
)
pass_library
(
quant_conv2d_dequant_fuse_pass inference
)
pass_library
(
fillconstant_elementwisemul_fuse inference
)
pass_library
(
shuffle_channel_detect_pass inference
)
...
...
paddle/fluid/framework/ir/expected_kernel_cache_pass.cc
已删除
100644 → 0
浏览文件 @
65dd7ec2
/* Copyright (c) 2019 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/framework/ir/expected_kernel_cache_pass.h"
#include <memory>
#include "paddle/fluid/framework/operator.h"
namespace
paddle
{
namespace
framework
{
namespace
ir
{
void
ExpectedKernelCachePass
::
ApplyImpl
(
ir
::
Graph
*
graph
)
const
{
VLOG
(
3
)
<<
"Applies Expected Kernel Cache strategy."
;
for
(
const
Node
*
n
:
graph
->
Nodes
())
{
if
(
n
->
IsOp
()
&&
n
->
Op
())
{
n
->
Op
()
->
SetAttr
(
kEnableCacheExpectedKernel
,
true
);
}
}
}
}
// namespace ir
}
// namespace framework
}
// namespace paddle
REGISTER_PASS
(
expected_kernel_cache_pass
,
paddle
::
framework
::
ir
::
ExpectedKernelCachePass
);
paddle/fluid/framework/ir/expected_kernel_cache_pass.h
已删除
100644 → 0
浏览文件 @
65dd7ec2
/* Copyright (c) 2019 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 "paddle/fluid/framework/ir/pass.h"
namespace
paddle
{
namespace
framework
{
namespace
ir
{
class
ExpectedKernelCachePass
:
public
Pass
{
protected:
void
ApplyImpl
(
ir
::
Graph
*
graph
)
const
override
;
};
}
// namespace ir
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/operator.h
浏览文件 @
32da5e9c
...
...
@@ -71,12 +71,6 @@ constexpr char kNewGradSuffix[] = "@NEWGRAD@";
/// this Op's execution to save the elapsed time.
constexpr
char
kEnableCacheRuntimeContext
[]
=
"@ENABLE_CACHE_RUNTIME_CONTEXT@"
;
/// If an Op has attribtue kEnableCacheExpectedKernel, it means that in a same
/// name scope and same place, since the expected kerenl of this Op does not
/// change in the execution, it could be recorded only at the first iteration of
/// this Op's execution to save the elapsed time.
constexpr
char
kEnableCacheExpectedKernel
[]
=
"@ENABLE_CACHE_EXPECTED_KERNEL@"
;
/// If an Op has this attribute, all its kernels should calculate output
/// variable's shape in the corresponding Compute() function. And
/// OperatorWithKernel::RunImpl() would skip call this Op's InferShape()
...
...
paddle/fluid/inference/api/analysis_config.cc
浏览文件 @
32da5e9c
...
...
@@ -235,7 +235,6 @@ void AnalysisConfig::Update() {
pass_builder
()
->
InsertPass
(
3
,
"tensorrt_subgraph_pass"
);
}
pass_builder
()
->
DeletePass
(
"runtime_context_cache_pass"
);
pass_builder
()
->
DeletePass
(
"expected_kernel_cache_pass"
);
}
if
(
use_mkldnn_
)
{
...
...
paddle/fluid/inference/api/paddle_pass_builder.cc
浏览文件 @
32da5e9c
...
...
@@ -98,9 +98,8 @@ GpuPassStrategy::GpuPassStrategy() : PassStrategy({}) {
"conv_elementwise_add_fuse_pass"
,
//
#endif //
"transpose_flatten_concat_fuse_pass"
,
// following
two passes should be located in the last, since they
will
// following
pass should be located in the last, since it
will
// work on all fused ops.
"expected_kernel_cache_pass"
,
//
"runtime_context_cache_pass"
});
...
...
@@ -134,9 +133,8 @@ CpuPassStrategy::CpuPassStrategy() : PassStrategy({}) {
"conv_bn_fuse_pass"
,
//
"conv_eltwiseadd_bn_fuse_pass"
,
//
"is_test_pass"
,
//
// following two passes should be located in the last, since
// they will work on all fused ops.
"expected_kernel_cache_pass"
,
//
// following pass should be located in the last, since
// it will work on all fused ops.
"runtime_context_cache_pass"
});
use_gpu_
=
false
;
...
...
paddle/fluid/pybind/pybind.cc
浏览文件 @
32da5e9c
...
...
@@ -18,6 +18,7 @@ limitations under the License. */
#include <mutex> // NOLINT // for call_once
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>
...
...
@@ -1492,10 +1493,6 @@ All parameter, weight, gradient are variables in Paddle.
"cache_runtime_context"
,
[](
const
BuildStrategy
&
self
)
{
return
self
.
cache_runtime_context_
;
},
[](
BuildStrategy
&
self
,
bool
b
)
{
self
.
cache_runtime_context_
=
b
;
})
.
def_property
(
"cache_expected_kernel"
,
[](
const
BuildStrategy
&
self
)
{
return
self
.
cache_expected_kernel_
;
},
[](
BuildStrategy
&
self
,
bool
b
)
{
self
.
cache_expected_kernel_
=
b
;
})
.
def_property
(
"mkldnn_enabled_op_types"
,
[](
const
BuildStrategy
&
self
)
{
...
...
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