Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
兽拳
Paddle
提交
c727ec4a
P
Paddle
项目概览
兽拳
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
1
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1
Issue
1
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
c727ec4a
编写于
9月 08, 2021
作者:
W
WangXi
提交者:
GitHub
9月 08, 2021
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
[NPU] add get_float_status op and refine NPU check_nan_inf (#35274)
上级
1635c02b
变更
11
隐藏空白更改
内联
并排
Showing
11 changed file
with
507 addition
and
10 deletion
+507
-10
paddle/fluid/framework/details/CMakeLists.txt
paddle/fluid/framework/details/CMakeLists.txt
+5
-1
paddle/fluid/framework/details/nan_inf_utils.h
paddle/fluid/framework/details/nan_inf_utils.h
+6
-0
paddle/fluid/framework/details/nan_inf_utils_detail.cc
paddle/fluid/framework/details/nan_inf_utils_detail.cc
+157
-8
paddle/fluid/framework/operator.cc
paddle/fluid/framework/operator.cc
+10
-0
paddle/fluid/operators/amp/clear_float_status_op_npu.cc
paddle/fluid/operators/amp/clear_float_status_op_npu.cc
+1
-1
paddle/fluid/operators/amp/get_float_status_op.cc
paddle/fluid/operators/amp/get_float_status_op.cc
+75
-0
paddle/fluid/operators/amp/get_float_status_op_npu.cc
paddle/fluid/operators/amp/get_float_status_op_npu.cc
+54
-0
paddle/fluid/pybind/op_function_generator.cc
paddle/fluid/pybind/op_function_generator.cc
+2
-0
python/paddle/fluid/tests/unittests/npu/CMakeLists.txt
python/paddle/fluid/tests/unittests/npu/CMakeLists.txt
+8
-0
python/paddle/fluid/tests/unittests/npu/test_flags_check_nan_inf_npu.py
...fluid/tests/unittests/npu/test_flags_check_nan_inf_npu.py
+86
-0
python/paddle/fluid/tests/unittests/npu/test_float_status_op_npu.py
...dle/fluid/tests/unittests/npu/test_float_status_op_npu.py
+103
-0
未找到文件。
paddle/fluid/framework/details/CMakeLists.txt
浏览文件 @
c727ec4a
...
...
@@ -64,7 +64,11 @@ elseif(WITH_ROCM)
hip_library
(
broadcast_op_handle SRCS broadcast_op_handle.cc DEPS op_handle_base scope ddim memory variable_visitor dynload_cuda
)
hip_library
(
fused_broadcast_op_handle SRCS fused_broadcast_op_handle.cc DEPS broadcast_op_handle
)
else
()
cc_library
(
nan_inf_utils SRCS nan_inf_utils_detail.cc DEPS framework_proto scope place
)
if
(
WITH_ASCEND_CL
)
cc_library
(
nan_inf_utils SRCS nan_inf_utils_detail.cc DEPS npu_op_runner framework_proto scope place
)
else
()
cc_library
(
nan_inf_utils SRCS nan_inf_utils_detail.cc DEPS framework_proto scope place
)
endif
()
cc_library
(
all_reduce_op_handle SRCS all_reduce_op_handle.cc DEPS op_handle_base scope lod_tensor ddim memory
variable_visitor
)
cc_library
(
fused_all_reduce_op_handle SRCS fused_all_reduce_op_handle.cc DEPS op_handle_base scope lod_tensor ddim memory
...
...
paddle/fluid/framework/details/nan_inf_utils.h
浏览文件 @
c727ec4a
...
...
@@ -53,6 +53,12 @@ void CheckOpHasNanOrInfInDygraph(const std::string& op_type,
}
}
#ifdef PADDLE_WITH_ASCEND_CL
void
NPUAllocAndClearFloatStatus
(
const
framework
::
OperatorBase
&
op
,
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
place
);
#endif
}
// namespace details
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/details/nan_inf_utils_detail.cc
浏览文件 @
c727ec4a
...
...
@@ -15,6 +15,11 @@
#include "paddle/fluid/framework/details/nan_inf_utils.h"
#include "paddle/fluid/framework/details/nan_inf_utils_detail.h"
#include "paddle/fluid/framework/op_proto_maker.h"
#ifdef PADDLE_WITH_ASCEND_CL
#include "paddle/fluid/operators/npu_op_runner.h"
#endif
namespace
paddle
{
namespace
framework
{
namespace
details
{
...
...
@@ -123,8 +128,10 @@ static void InitWhiteListFormEnv() {
template
<
typename
T
>
static
void
PrintNanInf
(
const
T
*
value
,
const
size_t
numel
,
int
print_num
,
const
std
::
string
&
op_type
,
const
std
::
string
&
var_name
)
{
const
std
::
string
&
op_type
,
const
std
::
string
&
var_name
,
bool
abort
=
true
)
{
T
min_value
=
std
::
numeric_limits
<
T
>::
max
();
T
max_value
=
std
::
numeric_limits
<
T
>::
min
();
size_t
nan_count
,
inf_count
,
num_count
;
nan_count
=
inf_count
=
num_count
=
0
;
...
...
@@ -137,6 +144,8 @@ static void PrintNanInf(const T* value, const size_t numel, int print_num,
count
=
inf_count
++
;
}
else
{
count
=
num_count
++
;
min_value
=
std
::
min
(
min_value
,
value
[
i
]);
max_value
=
std
::
max
(
max_value
,
value
[
i
]);
}
if
(
count
<
static_cast
<
size_t
>
(
print_num
))
{
...
...
@@ -144,12 +153,17 @@ static void PrintNanInf(const T* value, const size_t numel, int print_num,
static_cast
<
uint64_t
>
(
i
),
static_cast
<
float
>
(
value
[
i
]));
}
}
printf
(
"In cpu, there has %lu,%lu,%lu nan,inf,num
\n
"
,
static_cast
<
uint64_t
>
(
nan_count
),
static_cast
<
uint64_t
>
(
inf_count
),
static_cast
<
uint64_t
>
(
num_count
));
PADDLE_THROW
(
platform
::
errors
::
PreconditionNotMet
(
"There are `nan` or `inf` in tensor (%s) of operator (%s)."
,
var_name
,
op_type
));
printf
(
"In cpu, there has %lu,%lu,%lu nan,inf,num. "
"And in num, min_value is %f, max_value is %f
\n
"
,
static_cast
<
uint64_t
>
(
nan_count
),
static_cast
<
uint64_t
>
(
inf_count
),
static_cast
<
uint64_t
>
(
num_count
),
static_cast
<
double
>
(
min_value
),
static_cast
<
double
>
(
max_value
));
if
(
abort
)
{
PADDLE_THROW
(
platform
::
errors
::
PreconditionNotMet
(
"There are `nan` or `inf` in tensor (%s) of operator (%s)."
,
var_name
,
op_type
));
}
}
// openmp 4.0, reduction with fp16
...
...
@@ -415,6 +429,134 @@ bool IsSkipOp(const framework::OperatorBase& op) {
return
false
;
}
#ifdef PADDLE_WITH_ASCEND_CL
using
NpuOpRunner
=
paddle
::
operators
::
NpuOpRunner
;
constexpr
int
FLOAT_STATUS_SIZE
=
8
;
static
framework
::
Tensor
&
npu_float_status
()
{
static
framework
::
Tensor
float_status
;
return
float_status
;
}
void
NPUAllocAndClearFloatStatus
(
const
framework
::
OperatorBase
&
op
,
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
place
)
{
if
(
!
platform
::
is_npu_place
(
place
))
return
;
std
::
call_once
(
white_list_init_flag
,
InitWhiteListFormEnv
);
if
(
IsSkipOp
(
op
))
return
;
auto
*
dev_ctx
=
reinterpret_cast
<
platform
::
NPUDeviceContext
*>
(
platform
::
DeviceContextPool
::
Instance
().
Get
(
place
));
auto
stream
=
dev_ctx
->
stream
();
auto
&
flag
=
npu_float_status
();
flag
.
mutable_data
<
float
>
({
FLOAT_STATUS_SIZE
},
place
);
NpuOpRunner
(
"NPUAllocFloatStatus"
,
{},
{
flag
}).
Run
(
stream
);
framework
::
Tensor
tmp
;
tmp
.
mutable_data
<
float
>
({
FLOAT_STATUS_SIZE
},
place
);
NpuOpRunner
(
"NPUClearFloatStatus"
,
{
tmp
},
{
flag
}).
Run
(
stream
);
}
void
PrintNpuVarInfo
(
const
std
::
string
&
op_type
,
const
std
::
string
&
var_name
,
const
framework
::
Variable
*
var
,
const
platform
::
Place
&
place
)
{
const
Tensor
*
tensor
{
nullptr
};
if
(
var
->
IsType
<
framework
::
LoDTensor
>
())
{
tensor
=
&
var
->
Get
<
framework
::
LoDTensor
>
();
}
else
if
(
var
->
IsType
<
framework
::
SelectedRows
>
())
{
tensor
=
&
var
->
Get
<
framework
::
SelectedRows
>
().
value
();
}
else
{
VLOG
(
10
)
<<
var_name
<<
" var_name need not to check"
;
return
;
}
if
((
tensor
->
type
()
!=
proto
::
VarType
::
FP32
)
&&
(
tensor
->
type
()
!=
proto
::
VarType
::
FP16
))
{
return
;
}
if
(
tensor
->
memory_size
()
==
0
)
{
VLOG
(
10
)
<<
var_name
<<
" var_name need not to check, size == 0"
;
return
;
}
VLOG
(
10
)
<<
"begin check "
<<
op_type
<<
" var_name:"
<<
var_name
<<
", place:"
<<
tensor
->
place
()
<<
", numel:"
<<
tensor
->
numel
();
framework
::
Tensor
cpu_tensor
;
cpu_tensor
.
Resize
(
tensor
->
dims
());
cpu_tensor
.
mutable_data
(
platform
::
CPUPlace
(),
tensor
->
type
());
framework
::
TensorCopySync
(
*
tensor
,
platform
::
CPUPlace
(),
&
cpu_tensor
);
LOG
(
WARNING
)
<<
"print ["
<<
var_name
<<
"] tensor info:"
;
// use env strategy control in future, -1=print_all.
int
print_num
=
3
;
if
(
tensor
->
type
()
==
proto
::
VarType
::
FP32
)
{
const
float
*
value
=
cpu_tensor
.
data
<
float
>
();
PrintNanInf
(
value
,
tensor
->
numel
(),
print_num
,
op_type
,
var_name
,
false
);
}
else
if
(
tensor
->
type
()
==
proto
::
VarType
::
FP16
)
{
const
paddle
::
platform
::
float16
*
value
=
cpu_tensor
.
data
<
paddle
::
platform
::
float16
>
();
PrintNanInf
(
value
,
tensor
->
numel
(),
print_num
,
op_type
,
var_name
,
false
);
}
}
void
PrintNPUOpValueInfo
(
const
framework
::
OperatorBase
&
op
,
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
place
)
{
LOG
(
WARNING
)
<<
"There are `nan` or `inf` in operator ("
<<
op
.
Type
()
<<
"), here we print some tensor value info of this op."
;
for
(
auto
&
vname
:
op
.
InputVars
())
{
auto
*
var
=
scope
.
FindVar
(
vname
);
if
(
var
==
nullptr
)
continue
;
PrintNpuVarInfo
(
op
.
Type
(),
vname
,
var
,
place
);
}
for
(
auto
&
vname
:
op
.
OutputVars
(
true
))
{
auto
*
var
=
scope
.
FindVar
(
vname
);
if
(
var
==
nullptr
)
continue
;
PrintNpuVarInfo
(
op
.
Type
(),
vname
,
var
,
place
);
}
}
static
void
NPUCheckOpHasNanOrInf
(
const
framework
::
OperatorBase
&
op
,
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
place
)
{
if
(
!
platform
::
is_npu_place
(
place
))
return
;
auto
*
dev_ctx
=
reinterpret_cast
<
platform
::
NPUDeviceContext
*>
(
platform
::
DeviceContextPool
::
Instance
().
Get
(
place
));
auto
stream
=
dev_ctx
->
stream
();
auto
&
flag
=
npu_float_status
();
Tensor
tmp
;
tmp
.
mutable_data
<
float
>
({
FLOAT_STATUS_SIZE
},
place
);
// NPUGetFloatStatus updates data on input in-place.
// tmp is only placeholder.
NpuOpRunner
(
"NPUGetFloatStatus"
,
{
flag
},
{
tmp
}).
Run
(
stream
);
framework
::
Tensor
cpu_tensor
;
auto
cpu_place
=
platform
::
CPUPlace
();
float
*
cpu_data
=
static_cast
<
float
*>
(
cpu_tensor
.
mutable_data
<
float
>
({
FLOAT_STATUS_SIZE
},
cpu_place
));
framework
::
TensorCopySync
(
flag
,
cpu_place
,
&
cpu_tensor
);
float
sum
=
0.0
;
for
(
int
i
=
0
;
i
<
FLOAT_STATUS_SIZE
;
++
i
)
{
sum
+=
cpu_data
[
i
];
}
if
(
sum
>=
1.0
)
PrintNPUOpValueInfo
(
op
,
scope
,
place
);
PADDLE_ENFORCE_LT
(
sum
,
1.0
,
platform
::
errors
::
PreconditionNotMet
(
"Operator %s contains Nan/Inf."
,
op
.
DebugStringEx
(
&
scope
)));
}
#endif
void
CheckOpHasNanOrInf
(
const
framework
::
OperatorBase
&
op
,
const
framework
::
Scope
&
exec_scope
,
const
platform
::
Place
&
place
)
{
...
...
@@ -422,6 +564,13 @@ void CheckOpHasNanOrInf(const framework::OperatorBase& op,
if
(
IsSkipOp
(
op
))
return
;
#ifdef PADDLE_WITH_ASCEND_CL
if
(
platform
::
is_npu_place
(
place
))
{
NPUCheckOpHasNanOrInf
(
op
,
exec_scope
,
place
);
return
;
}
#endif
if
(
op_var_nan_inf_white_list
().
count
(
op
.
Type
())
==
0
)
{
// NOTE. vname may destruct in the end of this func.
for
(
auto
&
vname
:
op
.
OutputVars
(
true
))
{
...
...
paddle/fluid/framework/operator.cc
浏览文件 @
c727ec4a
...
...
@@ -1105,6 +1105,16 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
platform
::
DeviceContextPool
&
pool
=
platform
::
DeviceContextPool
::
Instance
();
auto
*
dev_ctx
=
pool
.
Get
(
place
);
#ifdef PADDLE_WITH_ASCEND_CL
// NOTE(wangxi): nan/inf cannot be detected on NPU by checking the variable
// values, but only through special `float_status` to checks whether
// the operation is overflow. More about `float_status`, see:
// https://gitee.com/ascend/modelzoo/issues/I3NF8V?from=project-issue
if
(
FLAGS_check_nan_inf
)
{
framework
::
details
::
NPUAllocAndClearFloatStatus
(
*
this
,
scope
,
place
);
}
#endif
if
(
kernel_type_
.
get
()
==
nullptr
||
kernel_func_
.
get
()
==
nullptr
)
{
ChooseKernel
(
*
runtime_ctx
,
scope
,
place
);
}
...
...
paddle/fluid/operators/amp/clear_float_status_op_npu.cc
浏览文件 @
c727ec4a
...
...
@@ -36,7 +36,7 @@ class ClearFloatStatusKernel : public framework::OpKernel<T> {
Tensor
tmp
;
tmp
.
mutable_data
<
float
>
({
8
},
ctx
.
GetPlace
());
const
auto
&
runner
=
NpuOpRunner
(
"NPUClearFloatStatus"
,
{
*
float_status
},
{
tmp
});
NpuOpRunner
(
"NPUClearFloatStatus"
,
{
tmp
},
{
*
float_status_out
});
auto
stream
=
ctx
.
template
device_context
<
paddle
::
platform
::
NPUDeviceContext
>()
.
stream
();
...
...
paddle/fluid/operators/amp/get_float_status_op.cc
0 → 100644
浏览文件 @
c727ec4a
/* 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. */
#include <cstring>
#include <string>
#include <vector>
#include "paddle/fluid/framework/op_registry.h"
namespace
paddle
{
namespace
operators
{
class
GetFloatStatusOp
:
public
framework
::
OperatorWithKernel
{
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
OP_INOUT_CHECK
(
ctx
->
HasOutput
(
"FloatStatusOut"
),
"Output"
,
"FloatStatusOut"
,
"get_float_status"
);
ctx
->
SetOutputDim
(
"FloatStatusOut"
,
ctx
->
GetInputDim
(
"FloatStatus"
));
}
protected:
framework
::
OpKernelType
GetExpectedKernelType
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
return
framework
::
OpKernelType
(
framework
::
proto
::
VarType
::
FP32
,
ctx
.
GetPlace
());
}
};
class
GetFloatStatusMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
void
Make
()
override
{
AddInput
(
"FloatStatus"
,
"(Tensor) of shape {8} that holds the float status."
);
AddOutput
(
"FloatStatusOut"
,
"(Tensor) of shape {8} that holds the get float status."
);
AddComment
(
R"DOC(
Get the float status
)DOC"
);
}
};
template
<
typename
DeviceContext
,
typename
T
>
class
GetFloatStatusKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
PADDLE_THROW
(
platform
::
errors
::
Unimplemented
(
"Operator get_float_status is not supported on CPU"
));
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
using
CPU
=
paddle
::
platform
::
CPUDeviceContext
;
REGISTER_OPERATOR
(
get_float_status
,
ops
::
GetFloatStatusOp
,
ops
::
GetFloatStatusMaker
,
paddle
::
framework
::
EmptyGradOpMaker
<
paddle
::
framework
::
OpDesc
>
,
paddle
::
framework
::
EmptyGradOpMaker
<
paddle
::
imperative
::
OpBase
>
);
REGISTER_OP_CPU_KERNEL
(
get_float_status
,
ops
::
GetFloatStatusKernel
<
CPU
,
float
>
);
paddle/fluid/operators/amp/get_float_status_op_npu.cc
0 → 100644
浏览文件 @
c727ec4a
/* 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. */
#include <cmath>
#include <vector>
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/npu_op_runner.h"
namespace
paddle
{
namespace
operators
{
using
Tensor
=
framework
::
Tensor
;
template
<
typename
DeviceContext
,
typename
T
>
class
GetFloatStatusKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
const
auto
*
float_status
=
ctx
.
Input
<
framework
::
Tensor
>
(
"FloatStatus"
);
auto
*
float_status_out
=
ctx
.
Output
<
framework
::
Tensor
>
(
"FloatStatusOut"
);
// GetClearFloatStatus modifies the input.
PADDLE_ENFORCE_EQ
(
float_status_out
,
float_status
,
platform
::
errors
::
PreconditionNotMet
(
"The input(FloatStatus) and Output(FloatStatusOut) "
"should be the same."
));
Tensor
tmp
;
tmp
.
mutable_data
<
float
>
({
8
},
ctx
.
GetPlace
());
auto
stream
=
ctx
.
template
device_context
<
paddle
::
platform
::
NPUDeviceContext
>()
.
stream
();
// NPUGetFloatStatus updates data on input in-place.
// tmp is only placeholder.
NpuOpRunner
(
"NPUGetFloatStatus"
,
{
*
float_status
},
{
tmp
}).
Run
(
stream
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_NPU_KERNEL
(
get_float_status
,
ops
::
GetFloatStatusKernel
<
paddle
::
platform
::
NPUDeviceContext
,
float
>
);
paddle/fluid/pybind/op_function_generator.cc
浏览文件 @
c727ec4a
...
...
@@ -157,6 +157,8 @@ std::map<std::string, std::set<std::string>> op_passing_outs_map = {
{
"ParamOut"
,
"Moment1Out"
,
"Moment2Out"
,
"Beta1PowOut"
,
"Beta2PowOut"
}},
{
"rnn"
,
{
"DropoutState"
}},
{
"run_program"
,
{
"Out"
,
"DOut"
,
"OutScope"
}},
{
"clear_float_status"
,
{
"FloatStatusOut"
}},
{
"get_float_status"
,
{
"FloatStatusOut"
}},
};
// NOTE(pangyoki): Tensor View Strategy.
...
...
python/paddle/fluid/tests/unittests/npu/CMakeLists.txt
浏览文件 @
c727ec4a
...
...
@@ -5,4 +5,12 @@ if (WITH_ASCEND_CL)
foreach
(
TEST_OP
${
TEST_OPS
}
)
py_test_modules
(
${
TEST_OP
}
MODULES
${
TEST_OP
}
)
endforeach
(
TEST_OP
)
# NOTE: NPU `get_float_status` read the value from register, During the test,
# it is found that this register will be overwritten by any program on the card.
# In order to prevent the interference of nan/inf in the other unittests, we
# need to set the unittests related to `float_status` to exclusive.
set_tests_properties
(
test_amp_check_finite_and_scale_op_npu PROPERTIES LABELS
"RUN_TYPE=EXCLUSIVE"
)
set_tests_properties
(
test_flags_check_nan_inf_npu PROPERTIES LABELS
"RUN_TYPE=EXCLUSIVE"
)
set_tests_properties
(
test_float_status_op_npu PROPERTIES LABELS
"RUN_TYPE=EXCLUSIVE"
)
endif
()
python/paddle/fluid/tests/unittests/npu/test_flags_check_nan_inf_npu.py
0 → 100644
浏览文件 @
c727ec4a
# Copyright (c) 2020 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.
import
unittest
import
numpy
as
np
import
sys
sys
.
path
.
append
(
".."
)
from
op_test
import
OpTest
,
skip_check_grad_ci
import
paddle
import
paddle.static
as
static
import
paddle.fluid
as
fluid
from
paddle.static
import
Program
,
program_guard
paddle
.
enable_static
()
class
TestCheckFiniteAndUnscale
(
unittest
.
TestCase
):
def
setUp
(
self
):
fluid
.
set_flags
({
'FLAGS_check_nan_inf'
:
True
})
def
get_prog
(
self
):
main_program
=
Program
()
with
program_guard
(
main_program
):
a
=
static
.
data
(
name
=
"a"
,
shape
=
[
32
,
32
],
dtype
=
'float32'
)
b
=
static
.
data
(
name
=
"b"
,
shape
=
[
32
,
32
],
dtype
=
'float32'
)
out
=
a
/
b
fp16_a
=
a
.
cast
(
paddle
.
float16
)
fp16_b
=
b
.
cast
(
paddle
.
float16
)
out
=
fp16_a
+
fp16_b
return
main_program
,
out
def
run_prog
(
self
,
a
,
b
):
main_program
,
out
=
self
.
get_prog
()
place
=
paddle
.
set_device
(
'npu'
)
exe
=
static
.
Executor
(
place
)
out_
=
exe
.
run
(
main_program
,
feed
=
{
"a"
:
a
,
"b"
:
b
},
fetch_list
=
[
out
])
return
out_
def
test_contains_nan
(
self
):
a
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
with
self
.
assertRaisesRegex
(
RuntimeError
,
"contains Nan/Inf"
):
out
=
self
.
run_prog
(
a
,
b
)
print
(
out
)
def
test_contains_inf
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
with
self
.
assertRaisesRegex
(
RuntimeError
,
"contains Nan/Inf"
):
out
=
self
.
run_prog
(
a
,
b
)
print
(
out
)
def
test_not_contains_nan_inf
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
out
=
self
.
run_prog
(
a
,
b
)
print
(
out
)
def
test_fp16_overflow
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
a
[
0
][
0
]
=
50000
b
[
0
][
0
]
=
50000
with
self
.
assertRaisesRegex
(
RuntimeError
,
"contains Nan/Inf"
):
out
=
self
.
run_prog
(
a
,
b
)
print
(
out
)
if
__name__
==
'__main__'
:
unittest
.
main
()
python/paddle/fluid/tests/unittests/npu/test_float_status_op_npu.py
0 → 100644
浏览文件 @
c727ec4a
# Copyright (c) 2020 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.
import
unittest
import
numpy
as
np
import
sys
sys
.
path
.
append
(
".."
)
from
op_test
import
OpTest
,
skip_check_grad_ci
import
paddle
import
paddle._C_ops
as
ops
class
TestGetFloatStatusOp
(
unittest
.
TestCase
):
def
setUp
(
self
):
device
=
paddle
.
set_device
(
'npu'
)
def
run_prog
(
self
,
a
,
b
):
a
=
paddle
.
to_tensor
(
a
)
b
=
paddle
.
to_tensor
(
b
)
flag
=
ops
.
alloc_float_status
()
ops
.
clear_float_status
(
flag
,
flag
)
out
=
a
/
b
ops
.
get_float_status
(
flag
,
flag
)
return
out
.
numpy
(),
flag
.
numpy
()
def
test_contains_nan
(
self
):
a
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
out
,
flag
=
self
.
run_prog
(
a
,
b
)
print
(
out
,
flag
)
self
.
assertGreaterEqual
(
np
.
sum
(
flag
),
1.0
)
def
test_contains_inf
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
out
,
flag
=
self
.
run_prog
(
a
,
b
)
print
(
out
,
flag
)
self
.
assertGreaterEqual
(
np
.
sum
(
flag
),
1.0
)
def
test_not_contains_nan_inf
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
out
,
flag
=
self
.
run_prog
(
a
,
b
)
print
(
out
,
flag
)
self
.
assertLess
(
np
.
sum
(
flag
),
1.0
)
class
TestClearFloatStatusOp
(
unittest
.
TestCase
):
def
setUp
(
self
):
device
=
paddle
.
set_device
(
'npu'
)
def
run_prog
(
self
,
a
,
b
):
a
=
paddle
.
to_tensor
(
a
)
b
=
paddle
.
to_tensor
(
b
)
flag
=
ops
.
alloc_float_status
()
ops
.
clear_float_status
(
flag
,
flag
)
out
=
a
/
b
ops
.
get_float_status
(
flag
,
flag
)
ops
.
clear_float_status
(
flag
,
flag
)
out
=
a
+
b
ops
.
get_float_status
(
flag
,
flag
)
return
out
.
numpy
(),
flag
.
numpy
()
def
test_not_contains_nan_inf
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float32'
)
b
=
np
.
zeros
((
32
,
32
)).
astype
(
'float32'
)
out
,
flag
=
self
.
run_prog
(
a
,
b
)
print
(
out
,
flag
)
self
.
assertLess
(
np
.
sum
(
flag
),
1.0
)
def
test_fp16_overflow
(
self
):
a
=
np
.
ones
((
32
,
32
)).
astype
(
'float16'
)
b
=
np
.
zeros
((
32
,
32
)).
astype
(
'float16'
)
a
[
0
][
0
]
=
50000
b
[
0
][
0
]
=
50000
out
,
flag
=
self
.
run_prog
(
a
,
b
)
print
(
out
,
flag
)
self
.
assertGreaterEqual
(
np
.
sum
(
flag
),
1.0
)
if
__name__
==
'__main__'
:
unittest
.
main
()
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录