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a4997311
编写于
5月 06, 2023
作者:
K
Kim Yann
提交者:
GitHub
5月 06, 2023
浏览文件
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电子邮件补丁
差异文件
rem npu in test (#53469)
* rem npu in test * restore some code
上级
13e2e10c
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
9 addition
and
66 deletion
+9
-66
test/CMakeLists.txt
test/CMakeLists.txt
+8
-18
test/cpp/inference/api/api_impl_tester.cc
test/cpp/inference/api/api_impl_tester.cc
+0
-4
test/cpp/inference/test_helper.h
test/cpp/inference/test_helper.h
+0
-3
test/cpp/phi/common/test_backend.cc
test/cpp/phi/common/test_backend.cc
+0
-4
test/cpp/phi/core/test_dense_tensor.cc
test/cpp/phi/core/test_dense_tensor.cc
+1
-36
test/xpu/test_merged_momentum_op_xpu_base.py
test/xpu/test_merged_momentum_op_xpu_base.py
+0
-1
未找到文件。
test/CMakeLists.txt
浏览文件 @
a4997311
...
...
@@ -186,24 +186,14 @@ if(${len} GREATER_EQUAL 1)
if
(
WITH_XPU
)
target_link_libraries
(
${
test_name
}
xpulib
)
endif
()
if
(
NOT
(
"
${
test_name
}
"
STREQUAL
"c_broadcast_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"c_allreduce_sum_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"c_allreduce_max_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"c_reducescatter_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"c_allgather_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"send_v2_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"c_reduce_sum_op_npu_test"
OR
"
${
test_name
}
"
STREQUAL
"recv_v2_op_npu_test"
))
cc_test_run
(
${
test_name
}
COMMAND
${
test_name
}
ARGS
${
test_arg
}
DIR
${
CC_TESTS_DIR
}
)
endif
()
cc_test_run
(
${
test_name
}
COMMAND
${
test_name
}
ARGS
${
test_arg
}
DIR
${
CC_TESTS_DIR
}
)
elseif
(
WITH_TESTING AND NOT TEST
${
test_name
}
)
add_test
(
NAME
${
test_name
}
COMMAND
${
CMAKE_COMMAND
}
-E echo CI skip
${
test_name
}
.
)
...
...
test/cpp/inference/api/api_impl_tester.cc
浏览文件 @
a4997311
...
...
@@ -72,7 +72,6 @@ void MainWord2Vec(const paddle::PaddlePlace& place) {
auto
predictor
=
CreatePaddlePredictor
<
NativeConfig
>
(
config
);
config
.
use_gpu
=
paddle
::
gpu_place_used
(
place
);
config
.
use_xpu
=
paddle
::
xpu_place_used
(
place
);
config
.
use_npu
=
paddle
::
npu_place_used
(
place
);
phi
::
DenseTensor
first_word
,
second_word
,
third_word
,
fourth_word
;
framework
::
LoD
lod
{{
0
,
1
}};
...
...
@@ -125,7 +124,6 @@ void MainImageClassification(const paddle::PaddlePlace& place) {
NativeConfig
config
=
GetConfig
();
config
.
use_gpu
=
paddle
::
gpu_place_used
(
place
);
config
.
use_xpu
=
paddle
::
xpu_place_used
(
place
);
config
.
use_npu
=
paddle
::
npu_place_used
(
place
);
config
.
model_dir
=
FLAGS_book_dirname
+
"/image_classification_resnet.inference.model"
;
...
...
@@ -169,7 +167,6 @@ void MainThreadsWord2Vec(const paddle::PaddlePlace& place) {
NativeConfig
config
=
GetConfig
();
config
.
use_gpu
=
paddle
::
gpu_place_used
(
place
);
config
.
use_xpu
=
paddle
::
xpu_place_used
(
place
);
config
.
use_npu
=
paddle
::
npu_place_used
(
place
);
auto
main_predictor
=
CreatePaddlePredictor
<
NativeConfig
>
(
config
);
// prepare inputs data and reference results
...
...
@@ -234,7 +231,6 @@ void MainThreadsImageClassification(const paddle::PaddlePlace& place) {
NativeConfig
config
=
GetConfig
();
config
.
use_gpu
=
paddle
::
gpu_place_used
(
place
);
config
.
use_xpu
=
paddle
::
xpu_place_used
(
place
);
config
.
use_npu
=
paddle
::
npu_place_used
(
place
);
config
.
model_dir
=
FLAGS_book_dirname
+
"/image_classification_resnet.inference.model"
;
...
...
test/cpp/inference/test_helper.h
浏览文件 @
a4997311
...
...
@@ -35,9 +35,6 @@ bool gpu_place_used(const paddle::PaddlePlace& place) {
bool
xpu_place_used
(
const
paddle
::
PaddlePlace
&
place
)
{
return
place
==
paddle
::
PaddlePlace
::
kXPU
;
}
bool
npu_place_used
(
const
paddle
::
PaddlePlace
&
place
)
{
return
place
==
paddle
::
PaddlePlace
::
kNPU
;
}
bool
cpu_place_used
(
const
paddle
::
PaddlePlace
&
place
)
{
return
place
==
paddle
::
PaddlePlace
::
kCPU
;
}
...
...
test/cpp/phi/common/test_backend.cc
浏览文件 @
a4997311
...
...
@@ -36,9 +36,6 @@ TEST(Backend, OStream) {
oss
<<
phi
::
Backend
::
XPU
;
EXPECT_EQ
(
oss
.
str
(),
"XPU"
);
oss
.
str
(
""
);
oss
<<
phi
::
Backend
::
NPU
;
EXPECT_EQ
(
oss
.
str
(),
"NPU"
);
oss
.
str
(
""
);
oss
<<
phi
::
Backend
::
ONEDNN
;
EXPECT_EQ
(
oss
.
str
(),
"ONEDNN"
);
oss
.
str
(
""
);
...
...
@@ -62,7 +59,6 @@ TEST(Backend, StringToBackend) {
EXPECT_EQ
(
phi
::
Backend
::
CPU
,
pexp
::
StringToBackend
(
"CPU"
));
EXPECT_EQ
(
phi
::
Backend
::
GPU
,
pexp
::
StringToBackend
(
"GPU"
));
EXPECT_EQ
(
phi
::
Backend
::
XPU
,
pexp
::
StringToBackend
(
"XPU"
));
EXPECT_EQ
(
phi
::
Backend
::
NPU
,
pexp
::
StringToBackend
(
"NPU"
));
EXPECT_EQ
(
phi
::
Backend
::
ONEDNN
,
pexp
::
StringToBackend
(
"OneDNN"
));
EXPECT_EQ
(
phi
::
Backend
::
GPUDNN
,
pexp
::
StringToBackend
(
"GPUDNN"
));
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
...
...
test/cpp/phi/core/test_dense_tensor.cc
浏览文件 @
a4997311
...
...
@@ -129,13 +129,6 @@ TEST(dense_tensor, shallow_copy) {
CHECK
(
tensor_0
.
meta
()
==
tensor_1
.
meta
());
}
struct
TestStorageProperties
:
public
StorageProperties
,
public
TypeInfoTraits
<
StorageProperties
,
NPUStorageProperties
>
{
virtual
~
TestStorageProperties
()
=
default
;
static
const
char
*
name
()
{
return
"TestStorageProperties"
;
}
};
TEST
(
dense_tensor
,
storage_properties
)
{
const
DataType
dtype
{
DataType
::
FLOAT32
};
const
DDim
dims
({
1
,
2
});
...
...
@@ -144,29 +137,9 @@ TEST(dense_tensor, storage_properties) {
auto
fancy_allocator
=
std
::
unique_ptr
<
Allocator
>
(
new
FancyAllocator
);
DenseTensor
tensor
(
fancy_allocator
.
get
(),
meta
);
// test no storage properties
bool
caught_exception
=
false
;
try
{
tensor
.
storage_properties
<
NPUStorageProperties
>
();
}
catch
(
phi
::
enforce
::
EnforceNotMet
&
error
)
{
caught_exception
=
true
;
}
EXPECT_TRUE
(
caught_exception
);
// test custom device storage properties
EXPECT_FALSE
(
tensor
.
storage_properties_initialized
());
auto
npu_properties
=
std
::
make_unique
<
NPUStorageProperties
>
();
npu_properties
->
storage_format
=
3
;
npu_properties
->
storage_dims
=
{
1
,
1
,
1
,
1
,
16
};
tensor
.
set_storage_properties
(
std
::
move
(
npu_properties
));
EXPECT_TRUE
(
tensor
.
storage_properties_initialized
());
auto
get_npu_properties
=
tensor
.
storage_properties
<
NPUStorageProperties
>
();
CHECK_EQ
(
get_npu_properties
.
storage_format
,
3
);
CHECK_EQ
(
get_npu_properties
.
storage_dims
.
size
(),
5
);
// test error type storage properties
#ifdef PADDLE_WITH_MKLDNN
caught_exception
=
false
;
bool
caught_exception
=
false
;
try
{
tensor
.
storage_properties
<
OneDNNStorageProperties
>
();
}
catch
(
phi
::
enforce
::
EnforceNotMet
&
error
)
{
...
...
@@ -174,14 +147,6 @@ TEST(dense_tensor, storage_properties) {
}
EXPECT_TRUE
(
caught_exception
);
#endif
// test copy storage properties
auto
cp_tensor
=
tensor
;
auto
get_cp_npu_properties
=
cp_tensor
.
storage_properties
<
NPUStorageProperties
>
();
CHECK_EQ
(
get_cp_npu_properties
.
storage_format
,
3
);
CHECK_EQ
(
get_cp_npu_properties
.
storage_dims
.
size
(),
5
);
}
}
// namespace tests
}
// namespace phi
test/xpu/test_merged_momentum_op_xpu_base.py
浏览文件 @
a4997311
...
...
@@ -211,7 +211,6 @@ class TestMergedMomentumBase(unittest.TestCase):
)
def
run_op
(
use_nesterov
,
use_merged
):
# NPU Momentum Op does not support rescale_grad
rescale_grad
=
1.0
return
run_momentum_op
(
params
,
...
...
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