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体验新版 GitCode,发现更多精彩内容 >>
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68fb818a
编写于
9月 18, 2018
作者:
N
nhzlx
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差异文件
add ut of trt common models
上级
c9e5c1e4
变更
3
隐藏空白更改
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并排
Showing
3 changed file
with
114 addition
and
0 deletion
+114
-0
paddle/fluid/inference/analysis/subgraph_splitter.cc
paddle/fluid/inference/analysis/subgraph_splitter.cc
+1
-0
paddle/fluid/inference/tests/api/CMakeLists.txt
paddle/fluid/inference/tests/api/CMakeLists.txt
+8
-0
paddle/fluid/inference/tests/api/trt_models_tester.cc
paddle/fluid/inference/tests/api/trt_models_tester.cc
+105
-0
未找到文件。
paddle/fluid/inference/analysis/subgraph_splitter.cc
浏览文件 @
68fb818a
...
@@ -309,6 +309,7 @@ void SubGraphFuse::operator()() { ReplaceNodesWithSubGraphs(); }
...
@@ -309,6 +309,7 @@ void SubGraphFuse::operator()() { ReplaceNodesWithSubGraphs(); }
void
SubGraphFuse
::
ReplaceNodesWithSubGraphs
()
{
void
SubGraphFuse
::
ReplaceNodesWithSubGraphs
()
{
auto
subgraphs
=
SubGraphSplitter
(
graph_
,
node_inside_subgraph_teller_
)();
auto
subgraphs
=
SubGraphSplitter
(
graph_
,
node_inside_subgraph_teller_
)();
for
(
auto
&
subgraph
:
subgraphs
)
{
for
(
auto
&
subgraph
:
subgraphs
)
{
if
(
subgraph
.
size
()
<=
3
)
continue
;
std
::
unordered_set
<
Node
*>
subgraph_uniq
(
subgraph
.
begin
(),
subgraph
.
end
());
std
::
unordered_set
<
Node
*>
subgraph_uniq
(
subgraph
.
begin
(),
subgraph
.
end
());
// replace this sub-graph with the first node. Two steps: 1. Create a Block
// replace this sub-graph with the first node. Two steps: 1. Create a Block
// Node that contains this subgraph 2. Mark the nodes inside the sub-graph
// Node that contains this subgraph 2. Mark the nodes inside the sub-graph
...
...
paddle/fluid/inference/tests/api/CMakeLists.txt
浏览文件 @
68fb818a
...
@@ -85,3 +85,11 @@ if (WITH_ANAKIN AND WITH_MKL) # only needed in CI
...
@@ -85,3 +85,11 @@ if (WITH_ANAKIN AND WITH_MKL) # only needed in CI
DEPS inference_anakin_api_shared dynload_cuda SERIAL
)
DEPS inference_anakin_api_shared dynload_cuda SERIAL
)
endif
()
endif
()
endif
()
endif
()
if
(
WITH_GPU AND TENSORRT_FOUND
)
set
(
TRT_MODEL_INSTALL_DIR
"
${
INFERENCE_DEMO_INSTALL_DIR
}
/trt"
)
inference_download_and_uncompress
(
${
TRT_MODEL_INSTALL_DIR
}
${
INFERENCE_URL
}
/tensorrt_test
"trt_test_models.tar.gz"
)
cc_test
(
test_trt_models SRCS trt_models_tester.cc
ARGS --dirname=
${
TRT_MODEL_INSTALL_DIR
}
/trt_test_models
DEPS paddle_inference_tensorrt_subgraph_engine
)
endif
()
paddle/fluid/inference/tests/api/trt_models_tester.cc
0 → 100644
浏览文件 @
68fb818a
// 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 <gflags/gflags.h>
#include <glog/logging.h>
#include <gtest/gtest.h>
#include "paddle/fluid/inference/analysis/analyzer.h"
#include "paddle/fluid/inference/api/paddle_inference_api.h"
namespace
paddle
{
DEFINE_string
(
dirname
,
""
,
"Directory of the inference model."
);
NativeConfig
GetConfigNative
()
{
NativeConfig
config
;
config
.
model_dir
=
FLAGS_dirname
;
// LOG(INFO) << "dirname " << config.model_dir;
config
.
fraction_of_gpu_memory
=
0.7
;
config
.
use_gpu
=
true
;
config
.
device
=
0
;
return
config
;
}
TensorRTConfig
GetConfigTRT
()
{
TensorRTConfig
config
;
config
.
model_dir
=
FLAGS_dirname
;
config
.
use_gpu
=
true
;
config
.
fraction_of_gpu_memory
=
0.1
;
config
.
device
=
0
;
config
.
max_batch_size
=
3
;
return
config
;
}
void
CompareTensorRTWithFluid
(
int
batch_size
,
std
::
string
model_dirname
)
{
NativeConfig
config0
=
GetConfigNative
();
config0
.
model_dir
=
model_dirname
;
TensorRTConfig
config1
=
GetConfigTRT
();
config1
.
model_dir
=
model_dirname
;
config1
.
max_batch_size
=
batch_size
;
auto
predictor0
=
CreatePaddlePredictor
<
NativeConfig
,
PaddleEngineKind
::
kNative
>
(
config0
);
auto
predictor1
=
CreatePaddlePredictor
<
TensorRTConfig
,
PaddleEngineKind
::
kAutoMixedTensorRT
>
(
config1
);
// Prepare inputs
int
height
=
224
;
int
width
=
224
;
float
*
data
=
new
float
[
batch_size
*
3
*
height
*
width
];
memset
(
data
,
0
,
sizeof
(
float
)
*
(
batch_size
*
3
*
height
*
width
));
data
[
0
]
=
1.0
f
;
// Prepare inputs
PaddleTensor
tensor
;
tensor
.
name
=
"input_0"
;
tensor
.
shape
=
std
::
vector
<
int
>
({
batch_size
,
3
,
height
,
width
});
tensor
.
data
=
PaddleBuf
(
static_cast
<
void
*>
(
data
),
sizeof
(
float
)
*
(
batch_size
*
3
*
height
*
width
));
tensor
.
dtype
=
PaddleDType
::
FLOAT32
;
std
::
vector
<
PaddleTensor
>
paddle_tensor_feeds
(
1
,
tensor
);
// Prepare outputs
std
::
vector
<
PaddleTensor
>
outputs0
;
std
::
vector
<
PaddleTensor
>
outputs1
;
CHECK
(
predictor0
->
Run
(
paddle_tensor_feeds
,
&
outputs0
));
CHECK
(
predictor1
->
Run
(
paddle_tensor_feeds
,
&
outputs1
,
batch_size
));
// Get output.
ASSERT_EQ
(
outputs0
.
size
(),
1UL
);
ASSERT_EQ
(
outputs1
.
size
(),
1UL
);
const
size_t
num_elements
=
outputs0
.
front
().
data
.
length
()
/
sizeof
(
float
);
const
size_t
num_elements1
=
outputs1
.
front
().
data
.
length
()
/
sizeof
(
float
);
EXPECT_EQ
(
num_elements
,
num_elements1
);
auto
*
data0
=
static_cast
<
float
*>
(
outputs0
.
front
().
data
.
data
());
auto
*
data1
=
static_cast
<
float
*>
(
outputs1
.
front
().
data
.
data
());
ASSERT_GT
(
num_elements
,
0UL
);
for
(
size_t
i
=
0
;
i
<
std
::
min
(
num_elements
,
num_elements1
);
i
++
)
{
EXPECT_NEAR
(
data0
[
i
],
data1
[
i
],
1e-3
);
}
}
TEST
(
trt_models_test
,
main
)
{
std
::
vector
<
std
::
string
>
infer_models
=
{
"mobilenet"
,
"resnet50"
,
"resnext50"
};
for
(
auto
&
model_dir
:
infer_models
)
{
CompareTensorRTWithFluid
(
1
,
FLAGS_dirname
+
"/"
+
model_dir
);
}
}
}
// namespace paddle
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