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体验新版 GitCode,发现更多精彩内容 >>
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dd1b3448
编写于
4月 13, 2018
作者:
L
liuqi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Replace abs error with relative error for ops test.
上级
ce60f613
变更
23
隐藏空白更改
内联
并排
Showing
23 changed file
with
229 addition
and
143 deletion
+229
-143
mace/ops/addn_test.cc
mace/ops/addn_test.cc
+47
-14
mace/ops/batch_norm_test.cc
mace/ops/batch_norm_test.cc
+15
-14
mace/ops/bias_add_test.cc
mace/ops/bias_add_test.cc
+3
-3
mace/ops/buffer_to_image_test.cc
mace/ops/buffer_to_image_test.cc
+2
-2
mace/ops/channel_shuffle_test.cc
mace/ops/channel_shuffle_test.cc
+2
-2
mace/ops/conv_2d_test.cc
mace/ops/conv_2d_test.cc
+14
-10
mace/ops/cwise_test.cc
mace/ops/cwise_test.cc
+3
-3
mace/ops/depth_to_space_test.cc
mace/ops/depth_to_space_test.cc
+3
-3
mace/ops/depthwise_conv2d_test.cc
mace/ops/depthwise_conv2d_test.cc
+23
-11
mace/ops/eltwise_test.cc
mace/ops/eltwise_test.cc
+3
-3
mace/ops/folded_batch_norm_test.cc
mace/ops/folded_batch_norm_test.cc
+8
-7
mace/ops/fully_connected_test.cc
mace/ops/fully_connected_test.cc
+10
-6
mace/ops/fused_conv_2d_test.cc
mace/ops/fused_conv_2d_test.cc
+29
-24
mace/ops/global_avg_pooling_test.cc
mace/ops/global_avg_pooling_test.cc
+1
-1
mace/ops/matmul_test.cc
mace/ops/matmul_test.cc
+4
-2
mace/ops/ops_test_util.h
mace/ops/ops_test_util.h
+17
-9
mace/ops/pad_test.cc
mace/ops/pad_test.cc
+1
-1
mace/ops/pooling_test.cc
mace/ops/pooling_test.cc
+25
-14
mace/ops/resize_bilinear_test.cc
mace/ops/resize_bilinear_test.cc
+4
-3
mace/ops/softmax_test.cc
mace/ops/softmax_test.cc
+4
-3
mace/ops/space_to_batch_test.cc
mace/ops/space_to_batch_test.cc
+2
-2
mace/ops/transpose_test.cc
mace/ops/transpose_test.cc
+1
-2
mace/ops/winograd_convolution_test.cc
mace/ops/winograd_convolution_test.cc
+8
-4
未找到文件。
mace/ops/addn_test.cc
浏览文件 @
dd1b3448
...
@@ -42,28 +42,60 @@ template <DeviceType D>
...
@@ -42,28 +42,60 @@ template <DeviceType D>
void
SimpleAdd3
()
{
void
SimpleAdd3
()
{
// Construct graph
// Construct graph
OpsTestNet
net
;
OpsTestNet
net
;
OpDefBuilder
(
"AddN"
,
"AddNTest"
)
.
Input
(
"Input1"
)
.
Input
(
"Input2"
)
.
Input
(
"Input3"
)
.
Output
(
"Output"
)
.
Finalize
(
net
.
NewOperatorDef
());
// Add input data
// Add input data
net
.
AddInputFromArray
<
D
,
float
>
(
"Input1"
,
{
1
,
2
,
3
,
1
},
{
1
,
2
,
3
,
4
,
5
,
6
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Input0"
,
{
1
,
2
,
3
,
1
},
net
.
AddInputFromArray
<
D
,
float
>
(
"Input2"
,
{
1
,
2
,
3
,
1
},
{
1
,
2
,
3
,
4
,
5
,
6
});
{
-
2.06715
,
2
,
3
,
4
,
5
,
6
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Input3"
,
{
1
,
2
,
3
,
1
},
{
1
,
2
,
3
,
4
,
5
,
6
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Input1"
,
{
1
,
2
,
3
,
1
},
{
0.875977
,
2
,
3
,
4
,
5
,
6
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Input2"
,
{
1
,
2
,
3
,
1
},
{
1.34866
,
2
,
3
,
4
,
5
,
6
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Input3"
,
{
1
,
2
,
3
,
1
},
{
-
0.1582
,
2
,
3
,
4
,
5
,
6
});
const
int
input_num
=
4
;
if
(
D
==
DeviceType
::
OPENCL
)
{
// run on gpu
for
(
int
i
=
0
;
i
<
input_num
;
++
i
)
{
BufferToImage
<
D
,
half
>
(
&
net
,
MakeString
(
"Input"
,
i
),
MakeString
(
"InputImage"
,
i
),
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
// Run
auto
op_def_cl
=
OpDefBuilder
(
"AddN"
,
"AddNTest"
);
net
.
RunOp
(
D
);
for
(
int
i
=
0
;
i
<
input_num
;
++
i
)
{
op_def_cl
.
Input
(
MakeString
(
"InputImage"
,
i
));
}
op_def_cl
.
Output
(
"OutputImage"
)
.
AddIntArg
(
"T"
,
static_cast
<
int
>
(
DataType
::
DT_HALF
))
.
Finalize
(
net
.
NewOperatorDef
());
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
3
,
1
},
{
3
,
6
,
9
,
12
,
15
,
18
});
// Run on device
net
.
RunOp
(
D
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
else
{
OpDefBuilder
(
"AddN"
,
"AddNTest"
)
.
Input
(
"Input0"
)
.
Input
(
"Input1"
)
.
Input
(
"Input2"
)
.
Input
(
"Input3"
)
.
Output
(
"Output"
)
.
Finalize
(
net
.
NewOperatorDef
());
// Run
net
.
RunOp
(
D
);
}
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
3
,
1
},
{
-
0.000713
,
8
,
12
,
16
,
20
,
24
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-4
,
1e-3
);
}
}
}
// namespace
}
// namespace
TEST_F
(
AddnOpTest
,
CPUSimpleAdd3
)
{
SimpleAdd3
<
DeviceType
::
CPU
>
();
}
TEST_F
(
AddnOpTest
,
CPUSimpleAdd3
)
{
SimpleAdd3
<
DeviceType
::
CPU
>
();
}
TEST_F
(
AddnOpTest
,
GPUSimpleAdd3
)
{
SimpleAdd3
<
DeviceType
::
OPENCL
>
();
}
namespace
{
namespace
{
template
<
DeviceType
D
>
template
<
DeviceType
D
>
...
@@ -118,7 +150,8 @@ void RandomTest() {
...
@@ -118,7 +150,8 @@ void RandomTest() {
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.1
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-2
);
}
}
}
}
}
// namespace
}
// namespace
...
...
mace/ops/batch_norm_test.cc
浏览文件 @
dd1b3448
...
@@ -67,10 +67,11 @@ void Simple() {
...
@@ -67,10 +67,11 @@ void Simple() {
// Check
// Check
auto
expected
=
auto
expected
=
CreateTensor
<
float
>
({
1
,
6
,
2
,
1
},
{
-
3.86
,
-
3.86
,
-
1.51
,
-
1.51
,
0.83
,
0.83
,
CreateTensor
<
float
>
({
1
,
6
,
2
,
1
},
{
-
3.8543
,
-
3.8543
,
-
1.5125
,
-
1.5125
,
3.17
,
3.17
,
5.51
,
5.51
,
7.86
,
7.86
});
0.8291
,
0.8291
,
3.1708
,
3.1708
,
5.5125
,
5.5125
,
7.8543
,
7.8543
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
4
);
}
}
}
// namespace
}
// namespace
...
@@ -81,8 +82,8 @@ TEST_F(BatchNormOpTest, SimpleOPENCL) { Simple<DeviceType::OPENCL>(); }
...
@@ -81,8 +82,8 @@ TEST_F(BatchNormOpTest, SimpleOPENCL) { Simple<DeviceType::OPENCL>(); }
TEST_F
(
BatchNormOpTest
,
SimpleRandomOPENCL
)
{
TEST_F
(
BatchNormOpTest
,
SimpleRandomOPENCL
)
{
// generate random input
// generate random input
static
unsigned
int
seed
=
time
(
NULL
);
static
unsigned
int
seed
=
time
(
NULL
);
index_t
batch
=
1
+
rand_r
(
&
seed
)
%
10
;
index_t
batch
=
1
+
rand_r
(
&
seed
)
%
5
;
index_t
channels
=
3
+
rand_r
(
&
seed
)
%
50
;
index_t
channels
=
3
+
rand_r
(
&
seed
)
%
25
;
index_t
height
=
64
;
index_t
height
=
64
;
index_t
width
=
64
;
index_t
width
=
64
;
...
@@ -146,7 +147,7 @@ TEST_F(BatchNormOpTest, SimpleRandomOPENCL) {
...
@@ -146,7 +147,7 @@ TEST_F(BatchNormOpTest, SimpleRandomOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
,
1e-4
);
}
}
TEST_F
(
BatchNormOpTest
,
SimpleRandomHalfOPENCL
)
{
TEST_F
(
BatchNormOpTest
,
SimpleRandomHalfOPENCL
)
{
...
@@ -218,14 +219,14 @@ TEST_F(BatchNormOpTest, SimpleRandomHalfOPENCL) {
...
@@ -218,14 +219,14 @@ TEST_F(BatchNormOpTest, SimpleRandomHalfOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.5
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-2
);
}
}
TEST_F
(
BatchNormOpTest
,
ComplexRandomOPENCL
)
{
TEST_F
(
BatchNormOpTest
,
ComplexRandomOPENCL
)
{
// generate random input
// generate random input
static
unsigned
int
seed
=
time
(
NULL
);
static
unsigned
int
seed
=
time
(
NULL
);
index_t
batch
=
1
+
rand_r
(
&
seed
)
%
10
;
index_t
batch
=
1
+
rand_r
(
&
seed
)
%
5
;
index_t
channels
=
3
+
rand_r
(
&
seed
)
%
50
;
index_t
channels
=
3
+
rand_r
(
&
seed
)
%
25
;
index_t
height
=
103
;
index_t
height
=
103
;
index_t
width
=
113
;
index_t
width
=
113
;
...
@@ -289,14 +290,14 @@ TEST_F(BatchNormOpTest, ComplexRandomOPENCL) {
...
@@ -289,14 +290,14 @@ TEST_F(BatchNormOpTest, ComplexRandomOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
,
1e-4
);
}
}
TEST_F
(
BatchNormOpTest
,
ComplexRandomHalfOPENCL
)
{
TEST_F
(
BatchNormOpTest
,
ComplexRandomHalfOPENCL
)
{
// generate random input
// generate random input
static
unsigned
int
seed
=
time
(
NULL
);
static
unsigned
int
seed
=
time
(
NULL
);
index_t
batch
=
1
+
rand_r
(
&
seed
)
%
10
;
index_t
batch
=
1
+
rand_r
(
&
seed
)
%
5
;
index_t
channels
=
3
+
rand_r
(
&
seed
)
%
50
;
index_t
channels
=
3
+
rand_r
(
&
seed
)
%
25
;
index_t
height
=
103
;
index_t
height
=
103
;
index_t
width
=
113
;
index_t
width
=
113
;
...
@@ -361,7 +362,7 @@ TEST_F(BatchNormOpTest, ComplexRandomHalfOPENCL) {
...
@@ -361,7 +362,7 @@ TEST_F(BatchNormOpTest, ComplexRandomHalfOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.5
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-2
);
}
}
TEST_F
(
BatchNormOpTest
,
NEONTest
)
{
TEST_F
(
BatchNormOpTest
,
NEONTest
)
{
...
@@ -418,7 +419,7 @@ TEST_F(BatchNormOpTest, NEONTest) {
...
@@ -418,7 +419,7 @@ TEST_F(BatchNormOpTest, NEONTest) {
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.001
);
1e-5
);
}
}
}
// namespace test
}
// namespace test
...
...
mace/ops/bias_add_test.cc
浏览文件 @
dd1b3448
...
@@ -53,7 +53,7 @@ void BiasAddSimple() {
...
@@ -53,7 +53,7 @@ void BiasAddSimple() {
{
1
,
6
,
2
,
1
},
{
1
,
6
,
2
,
1
},
{
5.5
,
5.5
,
7.5
,
7.5
,
9.5
,
9.5
,
11.5
,
11.5
,
13.5
,
13.5
,
15.5
,
15.5
});
{
5.5
,
5.5
,
7.5
,
7.5
,
9.5
,
9.5
,
11.5
,
11.5
,
13.5
,
13.5
,
15.5
,
15.5
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
5
);
}
}
}
// namespace
}
// namespace
...
@@ -109,7 +109,7 @@ TEST_F(BiasAddOpTest, SimpleRandomOPENCL) {
...
@@ -109,7 +109,7 @@ TEST_F(BiasAddOpTest, SimpleRandomOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
);
}
}
TEST_F
(
BiasAddOpTest
,
ComplexRandomOPENCL
)
{
TEST_F
(
BiasAddOpTest
,
ComplexRandomOPENCL
)
{
...
@@ -158,7 +158,7 @@ TEST_F(BiasAddOpTest, ComplexRandomOPENCL) {
...
@@ -158,7 +158,7 @@ TEST_F(BiasAddOpTest, ComplexRandomOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
);
}
}
}
// namespace test
}
// namespace test
...
...
mace/ops/buffer_to_image_test.cc
浏览文件 @
dd1b3448
...
@@ -143,7 +143,7 @@ void TestDiffTypeBidirectionTransform(const int type,
...
@@ -143,7 +143,7 @@ void TestDiffTypeBidirectionTransform(const int type,
// Check
// Check
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"Input"
),
*
net
.
GetOutput
(
"I2BOutput"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"Input"
),
*
net
.
GetOutput
(
"I2BOutput"
),
1e-
2
);
1e-
3
,
1e-6
);
}
}
}
// namespace
}
// namespace
...
@@ -185,7 +185,7 @@ void TestStringHalfBidirectionTransform(const int type,
...
@@ -185,7 +185,7 @@ void TestStringHalfBidirectionTransform(const int type,
// Check
// Check
ExpectTensorNear
<
half
>
(
*
net
.
GetOutput
(
"Input"
),
*
net
.
GetOutput
(
"I2BOutput"
),
ExpectTensorNear
<
half
>
(
*
net
.
GetOutput
(
"Input"
),
*
net
.
GetOutput
(
"I2BOutput"
),
1e-
2
);
1e-
3
,
1e-6
);
}
}
}
// namespace
}
// namespace
...
...
mace/ops/channel_shuffle_test.cc
浏览文件 @
dd1b3448
...
@@ -32,7 +32,7 @@ TEST_F(ChannelShuffleOpTest, C8G4_CPU) {
...
@@ -32,7 +32,7 @@ TEST_F(ChannelShuffleOpTest, C8G4_CPU) {
auto
expected
=
CreateTensor
<
float
>
(
auto
expected
=
CreateTensor
<
float
>
(
{
1
,
1
,
2
,
8
},
{
0
,
2
,
4
,
6
,
1
,
3
,
5
,
7
,
8
,
10
,
12
,
14
,
9
,
11
,
13
,
15
});
{
1
,
1
,
2
,
8
},
{
0
,
2
,
4
,
6
,
1
,
3
,
5
,
7
,
8
,
10
,
12
,
14
,
9
,
11
,
13
,
15
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
TEST_F
(
ChannelShuffleOpTest
,
C16G4_OPENCL
)
{
TEST_F
(
ChannelShuffleOpTest
,
C16G4_OPENCL
)
{
...
@@ -66,7 +66,7 @@ TEST_F(ChannelShuffleOpTest, C16G4_OPENCL) {
...
@@ -66,7 +66,7 @@ TEST_F(ChannelShuffleOpTest, C16G4_OPENCL) {
{
0
,
4
,
8
,
12
,
1
,
5
,
9
,
13
,
2
,
6
,
10
,
14
,
3
,
7
,
11
,
15
,
{
0
,
4
,
8
,
12
,
1
,
5
,
9
,
13
,
2
,
6
,
10
,
14
,
3
,
7
,
11
,
15
,
16
,
20
,
24
,
28
,
17
,
21
,
25
,
29
,
18
,
22
,
26
,
30
,
19
,
23
,
27
,
31
});
16
,
20
,
24
,
28
,
17
,
21
,
25
,
29
,
18
,
22
,
26
,
30
,
19
,
23
,
27
,
31
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace test
}
// namespace test
...
...
mace/ops/conv_2d_test.cc
浏览文件 @
dd1b3448
...
@@ -68,7 +68,7 @@ void TestNHWCSimple3x3VALID() {
...
@@ -68,7 +68,7 @@ void TestNHWCSimple3x3VALID() {
}
}
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
18.1
f
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
18.1
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
template
<
DeviceType
D
,
typename
T
>
template
<
DeviceType
D
,
typename
T
>
...
@@ -128,7 +128,7 @@ void TestNHWCSimple3x3SAME() {
...
@@ -128,7 +128,7 @@ void TestNHWCSimple3x3SAME() {
{
1
,
3
,
3
,
1
},
{
1
,
3
,
3
,
1
},
{
8.1
f
,
12.1
f
,
8.1
f
,
12.1
f
,
18.1
f
,
12.1
f
,
8.1
f
,
12.1
f
,
8.1
f
});
{
8.1
f
,
12.1
f
,
8.1
f
,
12.1
f
,
18.1
f
,
12.1
f
,
8.1
f
,
12.1
f
,
8.1
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -194,7 +194,7 @@ void TestNHWCSimple3x3WithoutBias() {
...
@@ -194,7 +194,7 @@ void TestNHWCSimple3x3WithoutBias() {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
18.0
f
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
18.0
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -266,7 +266,7 @@ void TestNHWCCombined3x3() {
...
@@ -266,7 +266,7 @@ void TestNHWCCombined3x3() {
auto
expected
=
CreateTensor
<
float
>
(
auto
expected
=
CreateTensor
<
float
>
(
{
1
,
3
,
3
,
2
},
{
8.1
f
,
4.2
f
,
12.1
f
,
6.2
f
,
8.1
f
,
4.2
f
,
12.1
f
,
6.2
f
,
18.1
f
,
{
1
,
3
,
3
,
2
},
{
8.1
f
,
4.2
f
,
12.1
f
,
6.2
f
,
8.1
f
,
4.2
f
,
12.1
f
,
6.2
f
,
18.1
f
,
9.2
f
,
12.1
f
,
6.2
f
,
8.1
f
,
4.2
f
,
12.1
f
,
6.2
f
,
8.1
f
,
4.2
f
});
9.2
f
,
12.1
f
,
6.2
f
,
8.1
f
,
4.2
f
,
12.1
f
,
6.2
f
,
8.1
f
,
4.2
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -345,7 +345,7 @@ void TestConv1x1() {
...
@@ -345,7 +345,7 @@ void TestConv1x1() {
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
});
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -415,7 +415,8 @@ void TestComplexConvNxNS12(const std::vector<index_t> &shape,
...
@@ -415,7 +415,8 @@ void TestComplexConvNxNS12(const std::vector<index_t> &shape,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
};
};
for
(
int
kernel_size
:
{
1
,
3
,
7
})
{
for
(
int
kernel_size
:
{
1
,
3
,
7
})
{
...
@@ -516,7 +517,8 @@ void TestHalfComplexConvNxNS12(const std::vector<index_t> &input_shape,
...
@@ -516,7 +517,8 @@ void TestHalfComplexConvNxNS12(const std::vector<index_t> &input_shape,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.5
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-1
);
};
};
func
(
1
,
1
,
VALID
);
func
(
1
,
1
,
VALID
);
...
@@ -641,7 +643,8 @@ void TestDilationConvNxN(const std::vector<index_t> &shape,
...
@@ -641,7 +643,8 @@ void TestDilationConvNxN(const std::vector<index_t> &shape,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
};
};
for
(
int
kernel_size
:
{
3
})
{
for
(
int
kernel_size
:
{
3
})
{
...
@@ -725,7 +728,8 @@ void TestArbitraryPadConvNxN(const std::vector<index_t> &shape,
...
@@ -725,7 +728,8 @@ void TestArbitraryPadConvNxN(const std::vector<index_t> &shape,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
};
};
for
(
int
kernel_size
:
{
3
,
5
})
{
for
(
int
kernel_size
:
{
3
,
5
})
{
...
@@ -807,7 +811,7 @@ static void TestNeonArbitraryPadConvNxN(const std::vector<index_t> &shape,
...
@@ -807,7 +811,7 @@ static void TestNeonArbitraryPadConvNxN(const std::vector<index_t> &shape,
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.001
);
1e-5
,
1e-3
);
};
};
for
(
int
kernel_size
:
{
1
,
3
,
5
})
{
for
(
int
kernel_size
:
{
1
,
3
,
5
})
{
...
...
mace/ops/cwise_test.cc
浏览文件 @
dd1b3448
...
@@ -54,7 +54,7 @@ void Simple(const kernels::CWiseType type,
...
@@ -54,7 +54,7 @@ void Simple(const kernels::CWiseType type,
auto
expected
=
CreateTensor
<
float
>
(
shape
,
output
);
auto
expected
=
CreateTensor
<
float
>
(
shape
,
output
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-3
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
5
,
1e-
3
);
}
}
}
// namespace
}
// namespace
...
@@ -140,10 +140,10 @@ void RandomTest(const kernels::CWiseType type,
...
@@ -140,10 +140,10 @@ void RandomTest(const kernels::CWiseType type,
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
3
);
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
,
1e-4
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
1
);
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
,
1e-2
);
}
}
}
}
}
// namespace
}
// namespace
...
...
mace/ops/depth_to_space_test.cc
浏览文件 @
dd1b3448
...
@@ -48,7 +48,7 @@ void RunDepthToSpace(const bool d2s,
...
@@ -48,7 +48,7 @@ void RunDepthToSpace(const bool d2s,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
}
auto
expected
=
CreateTensor
<
float
>
(
expected_shape
,
expected_data
);
auto
expected
=
CreateTensor
<
float
>
(
expected_shape
,
expected_data
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -194,10 +194,10 @@ void RandomTest(const bool d2s, const int block_size,
...
@@ -194,10 +194,10 @@ void RandomTest(const bool d2s, const int block_size,
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
3
);
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
1
);
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
3
,
1e-4
);
}
}
}
}
}
// namespace
}
// namespace
...
...
mace/ops/depthwise_conv2d_test.cc
浏览文件 @
dd1b3448
...
@@ -46,8 +46,8 @@ void SimpleValidTest() {
...
@@ -46,8 +46,8 @@ void SimpleValidTest() {
net
.
RunOp
(
D
);
net
.
RunOp
(
D
);
// Transfer output
// Transfer output
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"Output"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
else
{
}
else
{
OpDefBuilder
(
"DepthwiseConv2d"
,
"DepthwiseConv2DTest"
)
OpDefBuilder
(
"DepthwiseConv2d"
,
"DepthwiseConv2DTest"
)
...
@@ -64,11 +64,15 @@ void SimpleValidTest() {
...
@@ -64,11 +64,15 @@ void SimpleValidTest() {
}
}
// Check
// Check
auto
expected
=
CreateTensor
<
T
>
(
auto
expected
=
CreateTensor
<
float
>
(
{
1
,
2
,
2
,
2
},
VectorStaticCast
<
T
>
({
37.1
f
,
148.2
f
,
47.1
f
,
188.2
f
,
67.1
f
,
{
1
,
2
,
2
,
2
},
{
37.1
f
,
148.2
f
,
47.1
f
,
188.2
f
,
268.2
f
,
77.1
f
,
308.2
f
})
);
67.1
f
,
268.2
f
,
77.1
f
,
308.2
f
}
);
ExpectTensorNear
<
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
if
(
DataTypeToEnum
<
T
>::
value
==
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-3
,
1e-3
);
}
else
{
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
}
// namespace
}
// namespace
...
@@ -189,7 +193,11 @@ void ComplexValidTest() {
...
@@ -189,7 +193,11 @@ void ComplexValidTest() {
9.13650036
,
8.5095005
,
8.92500019
,
9.34349918
,
8.69849968
,
9.13650036
,
8.5095005
,
8.92500019
,
9.34349918
,
8.69849968
,
9.12300014
,
9.55049992
,
4.55220032
,
4.80690002
,
5.06340027
}));
9.12300014
,
9.55049992
,
4.55220032
,
4.80690002
,
5.06340027
}));
ExpectTensorNear
<
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.2
);
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
ExpectTensorNear
<
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
else
{
ExpectTensorNear
<
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-2
);
}
}
}
}
// namespace
}
// namespace
...
@@ -282,7 +290,13 @@ void TestNxNS12(const index_t height, const index_t width) {
...
@@ -282,7 +290,13 @@ void TestNxNS12(const index_t height, const index_t width) {
}
}
// Check
// Check
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"DeviceOutput"
),
0.1
);
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"DeviceOutput"
),
1e-5
,
1e-4
);
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"DeviceOutput"
),
1e-2
,
1e-2
);
}
};
};
for
(
int
kernel_size
:
{
2
,
3
,
4
})
{
for
(
int
kernel_size
:
{
2
,
3
,
4
})
{
...
@@ -303,12 +317,10 @@ TEST_F(DepthwiseConv2dOpTest, OpenCLSimpleNxNS12Half) {
...
@@ -303,12 +317,10 @@ TEST_F(DepthwiseConv2dOpTest, OpenCLSimpleNxNS12Half) {
}
}
TEST_F
(
DepthwiseConv2dOpTest
,
OpenCLAlignedNxNS12
)
{
TEST_F
(
DepthwiseConv2dOpTest
,
OpenCLAlignedNxNS12
)
{
TestNxNS12
<
DeviceType
::
OPENCL
,
float
>
(
64
,
64
);
TestNxNS12
<
DeviceType
::
OPENCL
,
float
>
(
128
,
128
);
TestNxNS12
<
DeviceType
::
OPENCL
,
float
>
(
128
,
128
);
}
}
TEST_F
(
DepthwiseConv2dOpTest
,
OpenCLAlignedNxNS12Half
)
{
TEST_F
(
DepthwiseConv2dOpTest
,
OpenCLAlignedNxNS12Half
)
{
TestNxNS12
<
DeviceType
::
OPENCL
,
half
>
(
64
,
64
);
TestNxNS12
<
DeviceType
::
OPENCL
,
half
>
(
128
,
128
);
TestNxNS12
<
DeviceType
::
OPENCL
,
half
>
(
128
,
128
);
}
}
...
@@ -380,7 +392,7 @@ void TestNEONNxNS12(const index_t height,
...
@@ -380,7 +392,7 @@ void TestNEONNxNS12(const index_t height,
// Check
// Check
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.001
);
1e-5
,
1e-3
);
};
};
for
(
int
kernel_size
:
{
1
,
3
,
5
})
{
for
(
int
kernel_size
:
{
1
,
3
,
5
})
{
...
...
mace/ops/eltwise_test.cc
浏览文件 @
dd1b3448
...
@@ -60,7 +60,7 @@ void Simple(const kernels::EltwiseType type,
...
@@ -60,7 +60,7 @@ void Simple(const kernels::EltwiseType type,
auto
expected
=
CreateTensor
<
float
>
(
shape
,
output
);
auto
expected
=
CreateTensor
<
float
>
(
shape
,
output
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
3
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
5
);
}
}
}
// namespace
}
// namespace
...
@@ -146,10 +146,10 @@ void RandomTest(const kernels::EltwiseType type,
...
@@ -146,10 +146,10 @@ void RandomTest(const kernels::EltwiseType type,
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DT_FLOAT
)
{
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
3
);
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
,
1e-4
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetTensor
(
"Output"
),
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
1
);
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
,
1e-2
);
}
}
}
}
}
// namespace
}
// namespace
...
...
mace/ops/folded_batch_norm_test.cc
浏览文件 @
dd1b3448
...
@@ -72,10 +72,11 @@ void Simple() {
...
@@ -72,10 +72,11 @@ void Simple() {
// Check
// Check
auto
expected
=
auto
expected
=
CreateTensor
<
float
>
({
1
,
6
,
2
,
1
},
{
-
3.86
,
-
3.86
,
-
1.51
,
-
1.51
,
0.83
,
0.83
,
CreateTensor
<
float
>
({
1
,
6
,
2
,
1
},
{
-
3.8543
,
-
3.8543
,
-
1.5125
,
-
1.5125
,
3.17
,
3.17
,
5.51
,
5.51
,
7.86
,
7.86
});
0.8291
,
0.8291
,
3.1708
,
3.1708
,
5.5125
,
5.5125
,
7.8543
,
7.8543
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
4
);
}
}
}
// namespace
}
// namespace
...
@@ -226,7 +227,7 @@ TEST_F(FoldedBatchNormOpTest, SimpleRandomOPENCL) {
...
@@ -226,7 +227,7 @@ TEST_F(FoldedBatchNormOpTest, SimpleRandomOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
,
1e-4
);
}
}
TEST_F
(
FoldedBatchNormOpTest
,
SimpleRandomHalfOPENCL
)
{
TEST_F
(
FoldedBatchNormOpTest
,
SimpleRandomHalfOPENCL
)
{
...
@@ -281,7 +282,7 @@ TEST_F(FoldedBatchNormOpTest, SimpleRandomHalfOPENCL) {
...
@@ -281,7 +282,7 @@ TEST_F(FoldedBatchNormOpTest, SimpleRandomHalfOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.5
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-2
);
}
}
TEST_F
(
FoldedBatchNormOpTest
,
ComplexRandomOPENCL
)
{
TEST_F
(
FoldedBatchNormOpTest
,
ComplexRandomOPENCL
)
{
...
@@ -334,7 +335,7 @@ TEST_F(FoldedBatchNormOpTest, ComplexRandomOPENCL) {
...
@@ -334,7 +335,7 @@ TEST_F(FoldedBatchNormOpTest, ComplexRandomOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-
5
,
1e-4
);
}
}
TEST_F
(
FoldedBatchNormOpTest
,
ComplexRandomHalfOPENCL
)
{
TEST_F
(
FoldedBatchNormOpTest
,
ComplexRandomHalfOPENCL
)
{
...
@@ -388,7 +389,7 @@ TEST_F(FoldedBatchNormOpTest, ComplexRandomHalfOPENCL) {
...
@@ -388,7 +389,7 @@ TEST_F(FoldedBatchNormOpTest, ComplexRandomHalfOPENCL) {
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.5
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-2
);
}
}
}
// namespace test
}
// namespace test
...
...
mace/ops/fully_connected_test.cc
浏览文件 @
dd1b3448
...
@@ -164,9 +164,11 @@ void Complex(const index_t batch,
...
@@ -164,9 +164,11 @@ void Complex(const index_t batch,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-1
,
1e-1
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-3
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
}
}
}
}
}
// namespace
}
// namespace
...
@@ -247,9 +249,11 @@ void TestWXFormat(const index_t batch,
...
@@ -247,9 +249,11 @@ void TestWXFormat(const index_t batch,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-1
,
1e-1
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-3
,
1e-3
);
}
}
}
}
}
// namespace
}
// namespace
...
@@ -267,7 +271,7 @@ TEST_F(FullyConnectedOpTest, OPENCLWidthFormatMultiBatch) {
...
@@ -267,7 +271,7 @@ TEST_F(FullyConnectedOpTest, OPENCLWidthFormatMultiBatch) {
}
}
TEST_F
(
FullyConnectedOpTest
,
OPENCLHalfWidthFormatAligned
)
{
TEST_F
(
FullyConnectedOpTest
,
OPENCLHalfWidthFormatAligned
)
{
TestWXFormat
<
float
>
(
1
,
2
,
2
,
512
,
2
);
TestWXFormat
<
half
>
(
1
,
2
,
2
,
512
,
2
);
TestWXFormat
<
half
>
(
1
,
11
,
11
,
32
,
16
);
TestWXFormat
<
half
>
(
1
,
11
,
11
,
32
,
16
);
TestWXFormat
<
half
>
(
1
,
16
,
32
,
32
,
32
);
TestWXFormat
<
half
>
(
1
,
16
,
32
,
32
,
32
);
}
}
...
@@ -315,7 +319,7 @@ void FullyConnectedTestNEON(const index_t batch,
...
@@ -315,7 +319,7 @@ void FullyConnectedTestNEON(const index_t batch,
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.01
);
1e-3
,
1e-3
);
}
}
}
// namespace
}
// namespace
...
...
mace/ops/fused_conv_2d_test.cc
浏览文件 @
dd1b3448
...
@@ -18,14 +18,14 @@ template<DeviceType D, typename T>
...
@@ -18,14 +18,14 @@ template<DeviceType D, typename T>
void
TestNHWCSimple3x3VALID
()
{
void
TestNHWCSimple3x3VALID
()
{
OpsTestNet
net
;
OpsTestNet
net
;
// Add input data
// Add input data
net
.
AddInputFromArray
<
D
,
T
>
(
net
.
AddInputFromArray
<
D
,
float
>
(
"Input"
,
{
1
,
3
,
3
,
2
},
"Input"
,
{
1
,
3
,
3
,
2
},
{
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
});
{
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
});
net
.
AddInputFromArray
<
D
,
T
>
(
net
.
AddInputFromArray
<
D
,
float
>
(
"Filter"
,
{
3
,
3
,
1
,
2
},
"Filter"
,
{
3
,
3
,
1
,
2
},
{
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
{
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
});
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
});
net
.
AddInputFromArray
<
D
,
T
>
(
"Bias"
,
{
1
},
{
-
0.1
f
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Bias"
,
{
1
},
{
-
0.1
f
});
if
(
D
==
DeviceType
::
OPENCL
)
{
if
(
D
==
DeviceType
::
OPENCL
)
{
BufferToImage
<
D
,
T
>
(
&
net
,
"Input"
,
"InputImage"
,
BufferToImage
<
D
,
T
>
(
&
net
,
"Input"
,
"InputImage"
,
...
@@ -49,8 +49,8 @@ void TestNHWCSimple3x3VALID() {
...
@@ -49,8 +49,8 @@ void TestNHWCSimple3x3VALID() {
net
.
RunOp
(
D
);
net
.
RunOp
(
D
);
// Transfer output
// Transfer output
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"Output"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
else
{
}
else
{
OpDefBuilder
(
"FusedConv2D"
,
"FusedConv2dTest"
)
OpDefBuilder
(
"FusedConv2D"
,
"FusedConv2dTest"
)
...
@@ -69,7 +69,7 @@ void TestNHWCSimple3x3VALID() {
...
@@ -69,7 +69,7 @@ void TestNHWCSimple3x3VALID() {
}
}
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
0.0
f
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
0.0
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
)
);
}
}
template
<
DeviceType
D
,
typename
T
>
template
<
DeviceType
D
,
typename
T
>
...
@@ -77,14 +77,14 @@ void TestNHWCSimple3x3SAME() {
...
@@ -77,14 +77,14 @@ void TestNHWCSimple3x3SAME() {
OpsTestNet
net
;
OpsTestNet
net
;
// Add input data
// Add input data
net
.
AddInputFromArray
<
D
,
T
>
(
net
.
AddInputFromArray
<
D
,
float
>
(
"Input"
,
{
1
,
3
,
3
,
2
},
"Input"
,
{
1
,
3
,
3
,
2
},
{
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
});
{
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
});
net
.
AddInputFromArray
<
D
,
T
>
(
net
.
AddInputFromArray
<
D
,
float
>
(
"Filter"
,
{
3
,
3
,
1
,
2
},
"Filter"
,
{
3
,
3
,
1
,
2
},
{
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
{
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
});
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
});
net
.
AddInputFromArray
<
D
,
T
>
(
"Bias"
,
{
1
},
{
-
0.1
f
});
net
.
AddInputFromArray
<
D
,
float
>
(
"Bias"
,
{
1
},
{
-
0.1
f
});
if
(
D
==
DeviceType
::
OPENCL
)
{
if
(
D
==
DeviceType
::
OPENCL
)
{
BufferToImage
<
D
,
T
>
(
&
net
,
"Input"
,
"InputImage"
,
BufferToImage
<
D
,
T
>
(
&
net
,
"Input"
,
"InputImage"
,
...
@@ -108,8 +108,8 @@ void TestNHWCSimple3x3SAME() {
...
@@ -108,8 +108,8 @@ void TestNHWCSimple3x3SAME() {
net
.
RunOp
(
D
);
net
.
RunOp
(
D
);
// Transfer output
// Transfer output
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"Output"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
else
{
}
else
{
OpDefBuilder
(
"FusedConv2D"
,
"FusedConv2dTest"
)
OpDefBuilder
(
"FusedConv2D"
,
"FusedConv2dTest"
)
...
@@ -130,7 +130,7 @@ void TestNHWCSimple3x3SAME() {
...
@@ -130,7 +130,7 @@ void TestNHWCSimple3x3SAME() {
auto
expected
=
CreateTensor
<
float
>
(
auto
expected
=
CreateTensor
<
float
>
(
{
1
,
3
,
3
,
1
},
{
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
});
{
1
,
3
,
3
,
1
},
{
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
,
0.0
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
)
);
}
}
}
// namespace
}
// namespace
...
@@ -150,10 +150,10 @@ void TestNHWCSimple3x3WithoutBias() {
...
@@ -150,10 +150,10 @@ void TestNHWCSimple3x3WithoutBias() {
OpsTestNet
net
;
OpsTestNet
net
;
// Add input data
// Add input data
net
.
AddInputFromArray
<
D
,
T
>
(
net
.
AddInputFromArray
<
D
,
float
>
(
"Input"
,
{
1
,
3
,
3
,
2
},
"Input"
,
{
1
,
3
,
3
,
2
},
{
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
});
{
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
,
-
1
});
net
.
AddInputFromArray
<
D
,
T
>
(
net
.
AddInputFromArray
<
D
,
float
>
(
"Filter"
,
{
3
,
3
,
1
,
2
},
"Filter"
,
{
3
,
3
,
1
,
2
},
{
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
{
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
});
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
,
1.0
f
});
...
@@ -177,8 +177,8 @@ void TestNHWCSimple3x3WithoutBias() {
...
@@ -177,8 +177,8 @@ void TestNHWCSimple3x3WithoutBias() {
// Run
// Run
net
.
RunOp
(
D
);
net
.
RunOp
(
D
);
// Transfer output
// Transfer output
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"Output"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
}
else
{
}
else
{
OpDefBuilder
(
"FusedConv2D"
,
"FusedConv2dTest"
)
OpDefBuilder
(
"FusedConv2D"
,
"FusedConv2dTest"
)
.
Input
(
"Input"
)
.
Input
(
"Input"
)
...
@@ -198,7 +198,7 @@ void TestNHWCSimple3x3WithoutBias() {
...
@@ -198,7 +198,7 @@ void TestNHWCSimple3x3WithoutBias() {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
0.0
f
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
1
,
1
},
{
0.0
f
});
ExpectTensorNear
<
float
,
T
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.01
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
)
);
}
}
}
// namespace
}
// namespace
...
@@ -277,7 +277,7 @@ void TestConv1x1() {
...
@@ -277,7 +277,7 @@ void TestConv1x1() {
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
});
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
,
5.1
f
,
10.2
f
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
)
,
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
));
}
}
}
// namespace
}
// namespace
...
@@ -346,7 +346,8 @@ void TestComplexConvNxNS12(const std::vector<index_t> &shape) {
...
@@ -346,7 +346,8 @@ void TestComplexConvNxNS12(const std::vector<index_t> &shape) {
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
};
};
for
(
int
kernel_size
:
{
1
,
3
})
{
for
(
int
kernel_size
:
{
1
,
3
})
{
...
@@ -434,7 +435,8 @@ void TestHalfComplexConvNxNS12(const std::vector<index_t> &shape) {
...
@@ -434,7 +435,8 @@ void TestHalfComplexConvNxNS12(const std::vector<index_t> &shape) {
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.2
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-1
);
};
};
for
(
int
kernel_size
:
{
1
,
3
})
{
for
(
int
kernel_size
:
{
1
,
3
})
{
...
@@ -513,7 +515,8 @@ void TestGeneralConvNxNS12(const std::vector<index_t> &image_shape,
...
@@ -513,7 +515,8 @@ void TestGeneralConvNxNS12(const std::vector<index_t> &image_shape,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
};
};
for
(
int
stride
:
{
1
,
2
})
{
for
(
int
stride
:
{
1
,
2
})
{
...
@@ -594,7 +597,8 @@ void TestAtrousConvNxN(const std::vector<index_t> &shape,
...
@@ -594,7 +597,8 @@ void TestAtrousConvNxN(const std::vector<index_t> &shape,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-4
);
};
};
for
(
int
kernel_size
:
{
3
})
{
for
(
int
kernel_size
:
{
3
})
{
...
@@ -683,7 +687,8 @@ void TestGeneralHalfAtrousConv(const std::vector<index_t> &image_shape,
...
@@ -683,7 +687,8 @@ void TestGeneralHalfAtrousConv(const std::vector<index_t> &image_shape,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.7
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-1
);
};
};
func
(
1
,
1
,
VALID
);
func
(
1
,
1
,
VALID
);
...
@@ -763,7 +768,7 @@ void TestNEONGeneralConvNxNS12(
...
@@ -763,7 +768,7 @@ void TestNEONGeneralConvNxNS12(
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.001
);
1e-5
,
1e-4
);
};
};
for
(
int
stride
:
{
1
,
2
})
{
for
(
int
stride
:
{
1
,
2
})
{
...
...
mace/ops/global_avg_pooling_test.cc
浏览文件 @
dd1b3448
...
@@ -31,7 +31,7 @@ TEST_F(GlobalAvgPoolingOpTest, 3x7x7_CPU) {
...
@@ -31,7 +31,7 @@ TEST_F(GlobalAvgPoolingOpTest, 3x7x7_CPU) {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
3
,
1
,
1
},
{
1
,
2
,
3
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
3
,
1
,
1
},
{
1
,
2
,
3
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace test
}
// namespace test
...
...
mace/ops/matmul_test.cc
浏览文件 @
dd1b3448
...
@@ -148,9 +148,11 @@ void Complex(const index_t batch,
...
@@ -148,9 +148,11 @@ void Complex(const index_t batch,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
DeviceType
::
OPENCL
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_HEIGHT
);
kernels
::
BufferType
::
IN_OUT_HEIGHT
);
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-1
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-2
,
1e-1
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-4
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
,
1e-5
);
}
}
}
}
}
// namespace
}
// namespace
...
...
mace/ops/ops_test_util.h
浏览文件 @
dd1b3448
...
@@ -439,7 +439,9 @@ struct Expector<EXP_TYPE, RES_TYPE, true> {
...
@@ -439,7 +439,9 @@ struct Expector<EXP_TYPE, RES_TYPE, true> {
}
}
}
}
static
void
Near
(
const
Tensor
&
x
,
const
Tensor
&
y
,
const
double
abs_err
)
{
static
void
Near
(
const
Tensor
&
x
,
const
Tensor
&
y
,
const
double
rel_err
,
const
double
abs_err
)
{
ASSERT_EQ
(
x
.
dtype
(),
DataTypeToEnum
<
EXP_TYPE
>::
v
());
ASSERT_EQ
(
x
.
dtype
(),
DataTypeToEnum
<
EXP_TYPE
>::
v
());
ASSERT_EQ
(
y
.
dtype
(),
DataTypeToEnum
<
RES_TYPE
>::
v
());
ASSERT_EQ
(
y
.
dtype
(),
DataTypeToEnum
<
RES_TYPE
>::
v
());
AssertSameDims
(
x
,
y
);
AssertSameDims
(
x
,
y
);
...
@@ -452,8 +454,9 @@ struct Expector<EXP_TYPE, RES_TYPE, true> {
...
@@ -452,8 +454,9 @@ struct Expector<EXP_TYPE, RES_TYPE, true> {
for
(
int
h
=
0
;
h
<
x
.
dim
(
1
);
++
h
)
{
for
(
int
h
=
0
;
h
<
x
.
dim
(
1
);
++
h
)
{
for
(
int
w
=
0
;
w
<
x
.
dim
(
2
);
++
w
)
{
for
(
int
w
=
0
;
w
<
x
.
dim
(
2
);
++
w
)
{
for
(
int
c
=
0
;
c
<
x
.
dim
(
3
);
++
c
)
{
for
(
int
c
=
0
;
c
<
x
.
dim
(
3
);
++
c
)
{
EXPECT_NEAR
(
*
a
,
*
b
,
abs_err
)
<<
"with index = ["
<<
n
<<
", "
<<
h
const
double
error
=
abs_err
+
rel_err
*
std
::
abs
(
*
a
);
<<
", "
<<
w
<<
", "
<<
c
<<
"]"
;
EXPECT_NEAR
(
*
a
,
*
b
,
error
)
<<
"with index = ["
<<
n
<<
", "
<<
h
<<
", "
<<
w
<<
", "
<<
c
<<
"]"
;
a
++
;
a
++
;
b
++
;
b
++
;
}
}
...
@@ -462,26 +465,31 @@ struct Expector<EXP_TYPE, RES_TYPE, true> {
...
@@ -462,26 +465,31 @@ struct Expector<EXP_TYPE, RES_TYPE, true> {
}
}
}
else
{
}
else
{
for
(
int
i
=
0
;
i
<
x
.
size
();
++
i
)
{
for
(
int
i
=
0
;
i
<
x
.
size
();
++
i
)
{
EXPECT_NEAR
(
a
[
i
],
b
[
i
],
abs_err
)
<<
"a = "
<<
a
<<
" b = "
<<
b
const
double
error
=
abs_err
+
rel_err
*
std
::
abs
(
a
[
i
]);
<<
" index = "
<<
i
;
EXPECT_NEAR
(
a
[
i
],
b
[
i
],
error
)
<<
"a = "
<<
a
<<
" b = "
<<
b
<<
" index = "
<<
i
;
}
}
}
}
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
void
ExpectTensorNear
(
const
Tensor
&
x
,
const
Tensor
&
y
,
const
double
abs_err
)
{
void
ExpectTensorNear
(
const
Tensor
&
x
,
const
Tensor
&
y
,
const
double
rel_err
=
1e-5
,
const
double
abs_err
=
1e-8
)
{
static_assert
(
is_floating_point_type
<
T
>::
value
,
static_assert
(
is_floating_point_type
<
T
>::
value
,
"T is not a floating point type"
);
"T is not a floating point type"
);
Expector
<
T
,
T
>::
Near
(
x
,
y
,
abs_err
);
Expector
<
T
,
T
>::
Near
(
x
,
y
,
rel_err
,
abs_err
);
}
}
template
<
typename
EXP_TYPE
,
typename
RES_TYPE
>
template
<
typename
EXP_TYPE
,
typename
RES_TYPE
>
void
ExpectTensorNear
(
const
Tensor
&
x
,
const
Tensor
&
y
,
const
double
abs_err
)
{
void
ExpectTensorNear
(
const
Tensor
&
x
,
const
Tensor
&
y
,
const
double
rel_err
=
1e-5
,
const
double
abs_err
=
1e-8
)
{
static_assert
(
is_floating_point_type
<
EXP_TYPE
>::
value
&&
static_assert
(
is_floating_point_type
<
EXP_TYPE
>::
value
&&
is_floating_point_type
<
RES_TYPE
>::
value
,
is_floating_point_type
<
RES_TYPE
>::
value
,
"T is not a floating point type"
);
"T is not a floating point type"
);
Expector
<
EXP_TYPE
,
RES_TYPE
>::
Near
(
x
,
y
,
abs_err
);
Expector
<
EXP_TYPE
,
RES_TYPE
>::
Near
(
x
,
y
,
rel_err
,
abs_err
);
}
}
template
<
DeviceType
D
,
typename
T
>
template
<
DeviceType
D
,
typename
T
>
...
...
mace/ops/pad_test.cc
浏览文件 @
dd1b3448
...
@@ -137,7 +137,7 @@ void Complex(const std::vector<index_t> &input_shape,
...
@@ -137,7 +137,7 @@ void Complex(const std::vector<index_t> &input_shape,
auto
output
=
net
.
GetTensor
(
"OpenCLOutput"
);
auto
output
=
net
.
GetTensor
(
"OpenCLOutput"
);
if
(
DataTypeToEnum
<
T
>::
value
==
DT_HALF
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
output
,
1e-
1
);
ExpectTensorNear
<
float
>
(
expected
,
*
output
,
1e-
2
,
1e-2
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
output
,
1e-5
);
ExpectTensorNear
<
float
>
(
expected
,
*
output
,
1e-5
);
}
}
...
...
mace/ops/pooling_test.cc
浏览文件 @
dd1b3448
...
@@ -41,7 +41,7 @@ TEST_F(PoolingOpTest, MAX_VALID) {
...
@@ -41,7 +41,7 @@ TEST_F(PoolingOpTest, MAX_VALID) {
auto
expected
=
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
2
,
2
},
{
5
,
21
,
7
,
23
,
13
,
29
,
15
,
31
});
CreateTensor
<
float
>
({
1
,
2
,
2
,
2
},
{
5
,
21
,
7
,
23
,
13
,
29
,
15
,
31
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
TEST_F
(
PoolingOpTest
,
MAX_SAME
)
{
TEST_F
(
PoolingOpTest
,
MAX_SAME
)
{
...
@@ -67,7 +67,7 @@ TEST_F(PoolingOpTest, MAX_SAME) {
...
@@ -67,7 +67,7 @@ TEST_F(PoolingOpTest, MAX_SAME) {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
2
,
1
},
{
4
,
5
,
7
,
8
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
2
,
1
},
{
4
,
5
,
7
,
8
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
TEST_F
(
PoolingOpTest
,
MAX_VALID_DILATION
)
{
TEST_F
(
PoolingOpTest
,
MAX_VALID_DILATION
)
{
...
@@ -94,7 +94,7 @@ TEST_F(PoolingOpTest, MAX_VALID_DILATION) {
...
@@ -94,7 +94,7 @@ TEST_F(PoolingOpTest, MAX_VALID_DILATION) {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
2
,
1
},
{
10
,
11
,
14
,
15
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
2
,
2
,
1
},
{
10
,
11
,
14
,
15
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
TEST_F
(
PoolingOpTest
,
MAX_k2x2s2x2
)
{
TEST_F
(
PoolingOpTest
,
MAX_k2x2s2x2
)
{
...
@@ -120,7 +120,7 @@ TEST_F(PoolingOpTest, MAX_k2x2s2x2) {
...
@@ -120,7 +120,7 @@ TEST_F(PoolingOpTest, MAX_k2x2s2x2) {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
5
,
1
},
{
10
,
12
,
14
,
16
,
17
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
5
,
1
},
{
10
,
12
,
14
,
16
,
17
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
namespace
{
namespace
{
...
@@ -167,7 +167,7 @@ void SimpleMaxPooling3S2() {
...
@@ -167,7 +167,7 @@ void SimpleMaxPooling3S2() {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
4
,
1
},
{
20
,
22
,
24
,
26
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
4
,
1
},
{
20
,
22
,
24
,
26
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -192,11 +192,10 @@ void MaxPooling3S2(const std::vector<index_t> &input_shape,
...
@@ -192,11 +192,10 @@ void MaxPooling3S2(const std::vector<index_t> &input_shape,
.
AddIntsArg
(
"strides"
,
strides
)
.
AddIntsArg
(
"strides"
,
strides
)
.
AddIntArg
(
"padding"
,
padding
)
.
AddIntArg
(
"padding"
,
padding
)
.
AddIntsArg
(
"dilations"
,
{
1
,
1
})
.
AddIntsArg
(
"dilations"
,
{
1
,
1
})
.
AddIntArg
(
"T"
,
static_cast
<
int
>
(
DataTypeToEnum
<
T
>::
value
))
.
Finalize
(
net
.
NewOperatorDef
());
.
Finalize
(
net
.
NewOperatorDef
());
// Add input data
// Add input data
net
.
AddRandomInput
<
D
,
T
>
(
"Input"
,
input_shape
);
net
.
AddRandomInput
<
D
,
float
>
(
"Input"
,
input_shape
);
// run on cpu
// run on cpu
net
.
RunOp
();
net
.
RunOp
();
...
@@ -216,10 +215,15 @@ void MaxPooling3S2(const std::vector<index_t> &input_shape,
...
@@ -216,10 +215,15 @@ void MaxPooling3S2(const std::vector<index_t> &input_shape,
.
AddIntArg
(
"T"
,
static_cast
<
int
>
(
DataTypeToEnum
<
T
>::
value
))
.
AddIntArg
(
"T"
,
static_cast
<
int
>
(
DataTypeToEnum
<
T
>::
value
))
.
Finalize
(
net
.
NewOperatorDef
());
.
Finalize
(
net
.
NewOperatorDef
());
net
.
RunOp
(
D
);
net
.
RunOp
(
D
);
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
T
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.001
);
if
(
DataTypeToEnum
<
T
>::
value
==
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-3
,
1e-4
);
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
);
}
}
}
}
// namespace
}
// namespace
...
@@ -276,7 +280,7 @@ TEST_F(PoolingOpTest, AVG_VALID) {
...
@@ -276,7 +280,7 @@ TEST_F(PoolingOpTest, AVG_VALID) {
auto
expected
=
CreateTensor
<
float
>
(
auto
expected
=
CreateTensor
<
float
>
(
{
1
,
2
,
2
,
2
},
{
2.5
,
18.5
,
4.5
,
20.5
,
10.5
,
26.5
,
12.5
,
28.5
});
{
1
,
2
,
2
,
2
},
{
2.5
,
18.5
,
4.5
,
20.5
,
10.5
,
26.5
,
12.5
,
28.5
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
namespace
{
namespace
{
...
@@ -309,7 +313,7 @@ void SimpleAvgPoolingTest() {
...
@@ -309,7 +313,7 @@ void SimpleAvgPoolingTest() {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
4
,
1
},
{
4.5
,
6.5
,
8.5
,
10.5
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
4
,
1
},
{
4.5
,
6.5
,
8.5
,
10.5
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -356,10 +360,17 @@ void AvgPoolingTest(const std::vector<index_t> &shape,
...
@@ -356,10 +360,17 @@ void AvgPoolingTest(const std::vector<index_t> &shape,
.
AddIntArg
(
"T"
,
static_cast
<
int
>
(
DataTypeToEnum
<
T
>::
value
))
.
AddIntArg
(
"T"
,
static_cast
<
int
>
(
DataTypeToEnum
<
T
>::
value
))
.
Finalize
(
net
.
NewOperatorDef
());
.
Finalize
(
net
.
NewOperatorDef
());
net
.
RunOp
(
D
);
net
.
RunOp
(
D
);
ImageToBuffer
<
D
,
T
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
,
T
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
0.01
);
if
(
DataTypeToEnum
<
T
>::
value
==
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-3
,
1e-3
);
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
);
}
}
}
}
// namespace
}
// namespace
...
@@ -448,7 +459,7 @@ void AvgPoolingNEONTest(const std::vector<index_t> &shape,
...
@@ -448,7 +459,7 @@ void AvgPoolingNEONTest(const std::vector<index_t> &shape,
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.01
);
1e-5
,
1e-4
);
}
}
}
// namespace
}
// namespace
...
...
mace/ops/resize_bilinear_test.cc
浏览文件 @
dd1b3448
...
@@ -35,7 +35,7 @@ TEST_F(ResizeBilinearTest, CPUResizeBilinearWOAlignCorners) {
...
@@ -35,7 +35,7 @@ TEST_F(ResizeBilinearTest, CPUResizeBilinearWOAlignCorners) {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
2
,
3
},
{
0
,
1
,
2
,
6
,
7
,
8
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
2
,
3
},
{
0
,
1
,
2
,
6
,
7
,
8
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
TEST_F
(
ResizeBilinearTest
,
ResizeBilinearWAlignCorners
)
{
TEST_F
(
ResizeBilinearTest
,
ResizeBilinearWAlignCorners
)
{
...
@@ -60,7 +60,7 @@ TEST_F(ResizeBilinearTest, ResizeBilinearWAlignCorners) {
...
@@ -60,7 +60,7 @@ TEST_F(ResizeBilinearTest, ResizeBilinearWAlignCorners) {
// Check
// Check
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
2
,
3
},
{
0
,
1
,
2
,
9
,
10
,
11
});
auto
expected
=
CreateTensor
<
float
>
({
1
,
1
,
2
,
3
},
{
0
,
1
,
2
,
9
,
10
,
11
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
0.001
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-5
);
}
}
namespace
{
namespace
{
...
@@ -113,7 +113,8 @@ void TestRandomResizeBilinear() {
...
@@ -113,7 +113,8 @@ void TestRandomResizeBilinear() {
// TODO(someone): support NEON
// TODO(someone): support NEON
}
}
// Check
// Check
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"DeviceOutput"
),
0.001
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"DeviceOutput"
),
1e-5
,
1e-6
);
}
}
}
}
}
// namespace
}
// namespace
...
...
mace/ops/softmax_test.cc
浏览文件 @
dd1b3448
...
@@ -49,7 +49,7 @@ void Simple() {
...
@@ -49,7 +49,7 @@ void Simple() {
{
1
,
1
,
2
,
4
},
{
1
,
1
,
2
,
4
},
{
0.25
,
0.25
,
0.25
,
0.25
,
0.0320586
,
0.08714432
,
0.23688282
,
0.64391426
});
{
0.25
,
0.25
,
0.25
,
0.25
,
0.0320586
,
0.08714432
,
0.23688282
,
0.64391426
});
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
7
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
),
1e-
5
);
}
}
}
// namespace
}
// namespace
...
@@ -89,7 +89,8 @@ void Complex(const std::vector<index_t> &logits_shape) {
...
@@ -89,7 +89,8 @@ void Complex(const std::vector<index_t> &logits_shape) {
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"OPENCLOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"OPENCLOutput"
),
1e-5
);
}
}
}
// namespace
}
// namespace
...
@@ -138,7 +139,7 @@ void SoftMaxNEONTest(const std::vector<index_t> &logits_shape) {
...
@@ -138,7 +139,7 @@ void SoftMaxNEONTest(const std::vector<index_t> &logits_shape) {
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"OutputExptected"
),
*
net
.
GetOutput
(
"OutputNeon"
),
*
net
.
GetOutput
(
"OutputNeon"
),
0.01
);
1e-5
,
1e-5
);
}
}
}
// namespace
}
// namespace
...
...
mace/ops/space_to_batch_test.cc
浏览文件 @
dd1b3448
...
@@ -36,7 +36,7 @@ void RunSpaceToBatch(const std::vector<index_t> &input_shape,
...
@@ -36,7 +36,7 @@ void RunSpaceToBatch(const std::vector<index_t> &input_shape,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
// Check
// Check
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
)
,
1e-8
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
));
}
}
template
<
DeviceType
D
>
template
<
DeviceType
D
>
...
@@ -64,7 +64,7 @@ void RunBatchToSpace(const std::vector<index_t> &input_shape,
...
@@ -64,7 +64,7 @@ void RunBatchToSpace(const std::vector<index_t> &input_shape,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"OutputImage"
,
"Output"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
// Check
// Check
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
)
,
1e-8
);
ExpectTensorNear
<
float
>
(
*
expected
,
*
net
.
GetOutput
(
"Output"
));
}
}
template
<
typename
T
>
template
<
typename
T
>
...
...
mace/ops/transpose_test.cc
浏览文件 @
dd1b3448
...
@@ -30,8 +30,7 @@ void TransposeNCHWTest(const std::vector<index_t> &input_shape) {
...
@@ -30,8 +30,7 @@ void TransposeNCHWTest(const std::vector<index_t> &input_shape) {
net
.
FillNHWCInputToNCHWInput
<
DeviceType
::
CPU
,
float
>
(
"InputNCHW"
,
"Input"
);
net
.
FillNHWCInputToNCHWInput
<
DeviceType
::
CPU
,
float
>
(
"InputNCHW"
,
"Input"
);
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"InputNCHW"
),
ExpectTensorNear
<
float
>
(
*
net
.
GetOutput
(
"InputNCHW"
),
*
net
.
GetOutput
(
"Output"
),
*
net
.
GetOutput
(
"Output"
));
0.01
);
}
}
}
// namespace
}
// namespace
...
...
mace/ops/winograd_convolution_test.cc
浏览文件 @
dd1b3448
...
@@ -127,9 +127,11 @@ void WinogradConvolution(const index_t batch,
...
@@ -127,9 +127,11 @@ void WinogradConvolution(const index_t batch,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"WinoOutputImage"
,
"WinoOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"WinoOutputImage"
,
"WinoOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-1
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-2
,
1e-2
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-4
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-5
,
1e-4
);
}
}
}
}
}
// namespace
}
// namespace
...
@@ -246,9 +248,11 @@ void WinogradConvolutionWithPad(const index_t batch,
...
@@ -246,9 +248,11 @@ void WinogradConvolutionWithPad(const index_t batch,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"WinoOutputImage"
,
"WinoOutput"
,
ImageToBuffer
<
D
,
float
>
(
&
net
,
"WinoOutputImage"
,
"WinoOutput"
,
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
kernels
::
BufferType
::
IN_OUT_CHANNEL
);
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
if
(
DataTypeToEnum
<
T
>::
value
==
DataType
::
DT_HALF
)
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-1
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-2
,
1e-2
);
}
else
{
}
else
{
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-3
);
ExpectTensorNear
<
float
>
(
expected
,
*
net
.
GetOutput
(
"WinoOutput"
),
1e-5
,
1e-4
);
}
}
}
}
}
// namespace
}
// namespace
...
...
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