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体验新版 GitCode,发现更多精彩内容 >>
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09a48965
编写于
9月 15, 2021
作者:
津
津
提交者:
GitHub
9月 15, 2021
浏览文件
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电子邮件补丁
差异文件
add test (#35100)
上级
ec422ea5
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
158 addition
and
1 deletion
+158
-1
paddle/fluid/inference/tensorrt/op_teller.cc
paddle/fluid/inference/tensorrt/op_teller.cc
+8
-1
python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_slice.py
...id/tests/unittests/ir/inference/test_trt_convert_slice.py
+150
-0
未找到文件。
paddle/fluid/inference/tensorrt/op_teller.cc
浏览文件 @
09a48965
...
...
@@ -562,7 +562,7 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
if
(
op_type
==
"slice"
)
{
if
(
!
desc
.
HasAttr
(
"axes"
)
||
!
desc
.
HasAttr
(
"starts"
)
||
!
desc
.
HasAttr
(
"ends"
))
{
!
desc
.
HasAttr
(
"ends"
)
||
!
desc
.
HasAttr
(
"decrease_axis"
)
)
{
return
false
;
}
else
{
std
::
vector
<
int
>
axes
=
...
...
@@ -571,9 +571,16 @@ bool OpTeller::Tell(const framework::ir::Node* node, bool use_no_calib_int8,
BOOST_GET_CONST
(
std
::
vector
<
int
>
,
desc
.
GetAttr
(
"starts"
));
std
::
vector
<
int
>
ends
=
BOOST_GET_CONST
(
std
::
vector
<
int
>
,
desc
.
GetAttr
(
"ends"
));
std
::
vector
<
int
>
decrease_axis
=
BOOST_GET_CONST
(
std
::
vector
<
int
>
,
desc
.
GetAttr
(
"decrease_axis"
));
if
(
axes
.
size
()
!=
starts
.
size
()
||
axes
.
size
()
!=
ends
.
size
())
{
return
false
;
}
if
(
decrease_axis
.
size
()
>
0
)
{
VLOG
(
3
)
<<
"Invalid slice decrease_axis. decrease_axis.size() > 0"
"is not supported in TensorRT"
;
return
false
;
}
if
(
!
with_dynamic_shape
)
{
for
(
size_t
i
=
0
;
i
<
axes
.
size
();
i
++
)
{
if
(
axes
[
i
]
==
0
)
{
...
...
python/paddle/fluid/tests/unittests/ir/inference/test_trt_convert_slice.py
0 → 100644
浏览文件 @
09a48965
# Copyright (c) 2021 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.
from
trt_layer_auto_scan_test
import
TrtLayerAutoScanTest
,
SkipReasons
from
program_config
import
TensorConfig
,
ProgramConfig
import
numpy
as
np
import
paddle.inference
as
paddle_infer
from
functools
import
partial
from
typing
import
Optional
,
List
,
Callable
,
Dict
,
Any
,
Set
import
unittest
class
TrtConvertSliceTest
(
TrtLayerAutoScanTest
):
def
is_program_valid
(
self
,
program_config
:
ProgramConfig
)
->
bool
:
inputs
=
program_config
.
inputs
weights
=
program_config
.
weights
attrs
=
[
program_config
.
ops
[
i
].
attrs
for
i
in
range
(
len
(
program_config
.
ops
))
]
for
x
in
attrs
[
0
][
"decrease_axis"
]:
if
x
<
0
:
return
False
for
x
in
range
(
len
(
attrs
[
0
][
"axes"
])):
start
=
0
end
=
0
if
attrs
[
0
][
"starts"
][
x
]
<
0
:
start
=
attrs
[
0
][
"starts"
][
x
]
+
inputs
[
'input_data'
].
shape
[
attrs
[
0
][
"axes"
][
x
]]
else
:
start
=
attrs
[
0
][
"starts"
][
x
]
if
attrs
[
0
][
"ends"
][
x
]
<
0
:
end
=
attrs
[
0
][
"ends"
][
x
]
+
inputs
[
'input_data'
].
shape
[
attrs
[
0
][
"axes"
][
x
]]
else
:
end
=
attrs
[
0
][
"ends"
][
x
]
start
=
max
(
0
,
start
)
end
=
max
(
0
,
end
)
if
start
>=
end
:
return
False
return
True
def
sample_program_configs
(
self
):
def
generate_input1
(
attrs
:
List
[
Dict
[
str
,
Any
]]):
return
np
.
ones
([
1
,
3
,
64
,
64
]).
astype
(
np
.
float32
)
for
axes
in
[[
0
,
1
],
[
1
,
3
],
[
2
,
3
]]:
for
starts
in
[[
0
,
1
],
[
-
4
,
-
3
]]:
for
ends
in
[[
2
,
2
],
[
-
1
,
-
2
],
[
5
,
5
]]:
for
decrease_axis
in
[[],
[
1
],
[
2
],
[
-
1
],
[
-
100
]]:
for
infer_flags
in
[[
-
1
]]:
dics
=
[{
"axes"
:
axes
,
"starts"
:
starts
,
"ends"
:
ends
,
"decrease_axis"
:
decrease_axis
,
"infer_flags"
:
infer_flags
}]
ops_config
=
[{
"op_type"
:
"slice"
,
"op_inputs"
:
{
"Input"
:
[
"input_data"
]
},
"op_outputs"
:
{
"Out"
:
[
"slice_output_data"
]
},
"op_attrs"
:
dics
[
0
]
}]
ops
=
self
.
generate_op_config
(
ops_config
)
program_config
=
ProgramConfig
(
ops
=
ops
,
weights
=
{},
inputs
=
{
"input_data"
:
TensorConfig
(
data_gen
=
partial
(
generate_input1
,
dics
))
},
outputs
=
[
"slice_output_data"
])
yield
program_config
def
sample_predictor_configs
(
self
,
program_config
)
->
(
paddle_infer
.
Config
,
List
[
int
],
float
):
def
generate_dynamic_shape
(
attrs
):
self
.
dynamic_shape
.
min_input_shape
=
{
"input_data"
:
[
1
,
3
,
32
,
32
]}
self
.
dynamic_shape
.
max_input_shape
=
{
"input_data"
:
[
4
,
3
,
64
,
64
]}
self
.
dynamic_shape
.
opt_input_shape
=
{
"input_data"
:
[
1
,
3
,
64
,
64
]}
def
clear_dynamic_shape
():
self
.
dynamic_shape
.
min_input_shape
=
{}
self
.
dynamic_shape
.
max_input_shape
=
{}
self
.
dynamic_shape
.
opt_input_shape
=
{}
def
generate_trt_nodes_num
(
attrs
,
dynamic_shape
):
inputs
=
program_config
.
inputs
if
len
(
attrs
[
0
][
"decrease_axis"
])
!=
0
:
return
0
,
3
if
dynamic_shape
:
for
i
in
range
(
len
(
attrs
[
0
][
"starts"
])):
if
attrs
[
0
][
"starts"
][
i
]
<
0
or
attrs
[
0
][
"ends"
][
i
]
<
0
:
return
0
,
3
if
not
dynamic_shape
:
for
x
in
attrs
[
0
][
"axes"
]:
if
x
==
0
:
return
0
,
3
return
1
,
2
attrs
=
[
program_config
.
ops
[
i
].
attrs
for
i
in
range
(
len
(
program_config
.
ops
))
]
# for static_shape
clear_dynamic_shape
()
self
.
trt_param
.
precision
=
paddle_infer
.
PrecisionType
.
Float32
yield
self
.
create_inference_config
(),
generate_trt_nodes_num
(
attrs
,
False
),
1e-5
self
.
trt_param
.
precision
=
paddle_infer
.
PrecisionType
.
Half
yield
self
.
create_inference_config
(),
generate_trt_nodes_num
(
attrs
,
False
),
1e-4
# for dynamic_shape
generate_dynamic_shape
(
attrs
)
self
.
trt_param
.
precision
=
paddle_infer
.
PrecisionType
.
Float32
yield
self
.
create_inference_config
(),
generate_trt_nodes_num
(
attrs
,
True
),
1e-5
self
.
trt_param
.
precision
=
paddle_infer
.
PrecisionType
.
Half
yield
self
.
create_inference_config
(),
generate_trt_nodes_num
(
attrs
,
True
),
1e-4
def
test
(
self
):
self
.
run_test
()
if
__name__
==
"__main__"
:
unittest
.
main
()
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