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2900f3ee
编写于
11月 28, 2019
作者:
Z
zhupengyang
提交者:
GitHub
11月 28, 2019
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电子邮件补丁
差异文件
[NPU] add sqrt op bridge and unit test (#2515)
test=develop
上级
5fac0949
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
151 addition
and
0 deletion
+151
-0
lite/kernels/npu/bridges/CMakeLists.txt
lite/kernels/npu/bridges/CMakeLists.txt
+3
-0
lite/kernels/npu/bridges/sqrt_op.cc
lite/kernels/npu/bridges/sqrt_op.cc
+54
-0
lite/kernels/npu/bridges/sqrt_op_test.cc
lite/kernels/npu/bridges/sqrt_op_test.cc
+93
-0
lite/operators/activation_ops.cc
lite/operators/activation_ops.cc
+1
-0
未找到文件。
lite/kernels/npu/bridges/CMakeLists.txt
浏览文件 @
2900f3ee
...
...
@@ -20,6 +20,7 @@ lite_cc_library(npu_bridge_concat_op SRCS concat_op.cc DEPS ${npu_bridge_deps})
lite_cc_library
(
npu_bridge_shuffle_channel_op SRCS shuffle_channel_op.cc DEPS
${
npu_bridge_deps
}
)
lite_cc_library
(
npu_bridge_pad2d_op SRCS pad2d_op.cc DEPS
${
npu_bridge_deps
}
)
lite_cc_library
(
npu_bridge_square_op SRCS square_op.cc DEPS
${
npu_bridge_deps
}
)
lite_cc_library
(
npu_bridge_sqrt_op SRCS sqrt_op.cc DEPS
${
npu_bridge_deps
}
)
set
(
npu_bridges
npu_bridge_registry
...
...
@@ -41,6 +42,7 @@ set(npu_bridges
npu_bridge_shuffle_channel_op
npu_bridge_pad2d_op
npu_bridge_square_op
npu_bridge_sqrt_op
CACHE INTERNAL
"npu_bridges"
)
set
(
npu_bridge_test_deps
${
npu_bridges
}
${
npu_kernels
}
${
ops
}
)
...
...
@@ -63,5 +65,6 @@ lite_cc_test(test_npu_bridge_concat_op SRCS concat_op_test.cc test_helper.cc DEP
lite_cc_test
(
test_npu_bridge_shuffle_channel_op SRCS shuffle_channel_op_test.cc test_helper.cc DEPS
${
npu_bridge_test_deps
}
)
lite_cc_test
(
test_npu_bridge_pad2d_op SRCS pad2d_op_test.cc test_helper.cc DEPS
${
npu_bridge_test_deps
}
)
lite_cc_test
(
test_npu_bridge_square_op SRCS square_op_test.cc test_helper.cc DEPS
${
npu_bridge_test_deps
}
)
lite_cc_test
(
test_npu_bridge_sqrt_op SRCS sqrt_op_test.cc test_helper.cc DEPS
${
npu_bridge_test_deps
}
)
message
(
STATUS
"+++++ npu_bridges:
${
npu_bridges
}
"
)
lite/kernels/npu/bridges/sqrt_op.cc
0 → 100644
浏览文件 @
2900f3ee
// 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 "lite/backends/npu/builder.h"
#include "lite/kernels/npu/bridges/registry.h"
namespace
paddle
{
namespace
lite
{
namespace
kernels
{
namespace
npu
{
namespace
bridges
{
node_map_type
SqrtConverter
(
const
std
::
shared_ptr
<
lite
::
OpLite
>
sqrt_op
,
const
node_map_type
&
inputs_map
)
{
auto
scope
=
sqrt_op
->
scope
();
auto
op_info
=
sqrt_op
->
op_info
();
auto
op_type
=
op_info
->
Type
();
auto
unique_op_type
=
lite
::
npu
::
UniqueName
(
op_type
);
LOG
(
INFO
)
<<
"[NPU] Converting "
+
op_type
+
"..."
;
std
::
shared_ptr
<
ge
::
op
::
Sqrt
>
sqrt_node
=
std
::
make_shared
<
ge
::
op
::
Sqrt
>
(
unique_op_type
);
auto
x_var_name
=
op_info
->
Input
(
"X"
).
front
();
CHECK
(
inputs_map
.
count
(
x_var_name
));
sqrt_node
->
set_input_x
(
*
inputs_map
.
at
(
x_var_name
));
lite
::
npu
::
OpList
::
Global
().
add
(
inputs_map
.
at
(
x_var_name
));
lite
::
npu
::
OpList
::
Global
().
add
(
sqrt_node
);
node_map_type
outputs_map
;
outputs_map
[
op_info
->
Output
(
"Out"
).
front
()]
=
sqrt_node
;
return
outputs_map
;
}
}
// namespace bridges
}
// namespace npu
}
// namespace kernels
}
// namespace lite
}
// namespace paddle
REGISTER_NPU_BRIDGE
(
sqrt
,
paddle
::
lite
::
kernels
::
npu
::
bridges
::
SqrtConverter
);
lite/kernels/npu/bridges/sqrt_op_test.cc
0 → 100644
浏览文件 @
2900f3ee
// 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 <gtest/gtest.h>
#include <cmath>
#include "lite/core/op_registry.h"
#include "lite/kernels/npu/bridges/registry.h"
#include "lite/kernels/npu/bridges/test_helper.h"
#include "lite/operators/activation_ops.h"
namespace
paddle
{
namespace
lite
{
namespace
kernels
{
namespace
npu
{
namespace
bridges
{
template
<
typename
dtype
>
void
sqrt_ref
(
const
std
::
shared_ptr
<
operators
::
ActivationOp
>
op
)
{
Scope
*
scope
=
op
->
scope
();
const
OpInfo
*
op_info
=
op
->
op_info
();
auto
x
=
scope
->
FindTensor
(
"x"
);
auto
out
=
scope
->
FindMutableTensor
(
"out_ref"
);
out
->
Resize
(
x
->
dims
());
auto
x_data
=
x
->
data
<
dtype
>
();
auto
out_data
=
out
->
mutable_data
<
dtype
>
();
for
(
size_t
i
=
0
;
i
<
x
->
numel
();
i
++
)
{
out_data
[
i
]
=
std
::
sqrtf
(
x_data
[
i
]);
}
}
void
test_sqrt
(
const
std
::
vector
<
int64_t
>&
input_shape
)
{
// prepare input&output variables
Scope
scope
;
std
::
string
x_var_name
=
"x"
;
std
::
string
out_var_name
=
"out"
;
std
::
string
out_ref_var_name
=
"out_ref"
;
auto
*
x
=
scope
.
NewTensor
(
x_var_name
);
auto
*
out
=
scope
.
NewTensor
(
out_var_name
);
auto
*
out_ref
=
scope
.
NewTensor
(
out_ref_var_name
);
x
->
Resize
(
input_shape
);
// initialize input&output data
FillTensor
<
float
>
(
x
,
0
,
5
);
// initialize op desc
cpp
::
OpDesc
opdesc
;
opdesc
.
SetType
(
"sqrt"
);
opdesc
.
SetInput
(
"X"
,
{
x_var_name
});
opdesc
.
SetOutput
(
"Out"
,
{
out_var_name
});
// create and convert op to NPU model, then run it on NPU
auto
op
=
CreateOp
<
operators
::
ActivationOp
>
(
opdesc
,
&
scope
);
LauchOp
(
op
,
{
x_var_name
},
{
out_var_name
});
// execute reference implementation and save to output tensor
sqrt_ref
<
float
>
(
op
);
// compare results
auto
*
out_data
=
out
->
mutable_data
<
float
>
();
auto
*
out_ref_data
=
out_ref
->
mutable_data
<
float
>
();
for
(
int
i
=
0
;
i
<
out
->
dims
().
production
();
i
++
)
{
EXPECT_NEAR
(
out_data
[
i
],
out_ref_data
[
i
],
1e-2
);
}
}
TEST
(
NPUBridges
,
sqrt
)
{
test_sqrt
({
2
});
test_sqrt
({
2
,
3
});
test_sqrt
({
1
,
2
,
3
,
4
});
test_sqrt
({
5
,
6
,
7
,
8
});
}
}
// namespace bridges
}
// namespace npu
}
// namespace kernels
}
// namespace lite
}
// namespace paddle
USE_LITE_OP
(
sqrt
);
USE_NPU_BRIDGE
(
sqrt
);
lite/operators/activation_ops.cc
浏览文件 @
2900f3ee
...
...
@@ -117,6 +117,7 @@ REGISTER_LITE_OP(log, paddle::lite::operators::ActivationOp);
REGISTER_LITE_OP
(
exp
,
paddle
::
lite
::
operators
::
ActivationOp
);
REGISTER_LITE_OP
(
floor
,
paddle
::
lite
::
operators
::
ActivationOp
);
REGISTER_LITE_OP
(
hard_sigmoid
,
paddle
::
lite
::
operators
::
ActivationOp
);
REGISTER_LITE_OP
(
sqrt
,
paddle
::
lite
::
operators
::
ActivationOp
);
REGISTER_LITE_OP
(
rsqrt
,
paddle
::
lite
::
operators
::
ActivationOp
);
REGISTER_LITE_OP
(
softsign
,
paddle
::
lite
::
operators
::
ActivationOp
);
...
...
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