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体验新版 GitCode,发现更多精彩内容 >>
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1c0db09a
编写于
8月 24, 2023
作者:
N
niuliling123
提交者:
GitHub
8月 24, 2023
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电子邮件补丁
差异文件
Add enable/disable_model_check_nan_inf op (#54081)
上级
a15fec8b
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
244 addition
and
0 deletion
+244
-0
paddle/phi/api/yaml/legacy_backward.yaml
paddle/phi/api/yaml/legacy_backward.yaml
+22
-0
paddle/phi/api/yaml/legacy_ops.yaml
paddle/phi/api/yaml/legacy_ops.yaml
+22
-0
paddle/phi/kernels/cpu/debug_tools_kernel.cc
paddle/phi/kernels/cpu/debug_tools_kernel.cc
+35
-0
paddle/phi/kernels/gpu/debug_tools_kernel.cu
paddle/phi/kernels/gpu/debug_tools_kernel.cu
+36
-0
paddle/phi/kernels/impl/debug_tools_impl.h
paddle/phi/kernels/impl/debug_tools_impl.h
+36
-0
python/paddle/amp/debugging.py
python/paddle/amp/debugging.py
+72
-0
test/amp/test_tensor_checker.py
test/amp/test_tensor_checker.py
+21
-0
未找到文件。
paddle/phi/api/yaml/legacy_backward.yaml
浏览文件 @
1c0db09a
...
...
@@ -758,6 +758,28 @@
kernel
:
func
:
triu_grad
-
backward_op
:
disable_check_model_nan_inf_grad
forward
:
disable_check_model_nan_inf (Tensor x, int flag=0) -> Tensor(out)
args
:
(Tensor out_grad, int unsetflag = 1)
output
:
Tensor(x_grad)
infer_meta
:
func
:
UnchangedInferMeta
param
:
[
out_grad
]
kernel
:
func
:
check_model_nan_inf
data_type
:
out_grad
-
backward_op
:
enable_check_model_nan_inf_grad
forward
:
enable_check_model_nan_inf (Tensor x, int flag=1) -> Tensor(out)
args
:
(Tensor out_grad, int unsetflag = 0)
output
:
Tensor(x_grad)
infer_meta
:
func
:
UnchangedInferMeta
param
:
[
out_grad
]
kernel
:
func
:
check_model_nan_inf
data_type
:
out_grad
-
backward_op
:
unpool_grad
forward
:
unpool (Tensor x, Tensor indices, int[] ksize, int[] strides, int[] padding, IntArray output_size, str data_format) -> Tensor(out)
args
:
(Tensor x, Tensor indices, Tensor out, Tensor out_grad, int[] ksize, int[] strides, int[] padding, IntArray output_size, str data_format)
...
...
paddle/phi/api/yaml/legacy_ops.yaml
浏览文件 @
1c0db09a
...
...
@@ -209,6 +209,17 @@
data_type
:
x
backward
:
depthwise_conv2d_transpose_grad
-
op
:
disable_check_model_nan_inf
args
:
(Tensor x, int flag = 0)
output
:
Tensor(out)
infer_meta
:
func
:
UnchangedInferMeta
param
:
[
x
]
kernel
:
func
:
check_model_nan_inf
data_type
:
x
backward
:
disable_check_model_nan_inf_grad
-
op
:
distribute_fpn_proposals
args
:
(Tensor fpn_rois, Tensor rois_num, int min_level, int max_level, int refer_level, int refer_scale, bool pixel_offset)
output
:
Tensor[](multi_fpn_rois){max_level - min_level + 1}, Tensor[](multi_level_rois_num){max_level - min_level + 1}, Tensor(restore_index)
...
...
@@ -305,6 +316,17 @@
data_type
:
dtype > x
backend
:
place > x
-
op
:
enable_check_model_nan_inf
args
:
(Tensor x, int flag = 1)
output
:
Tensor(out)
infer_meta
:
func
:
UnchangedInferMeta
param
:
[
x
]
kernel
:
func
:
check_model_nan_inf
data_type
:
x
backward
:
enable_check_model_nan_inf_grad
-
op
:
equal
args
:
(Tensor x, Tensor y)
output
:
Tensor(out)
...
...
paddle/phi/kernels/cpu/debug_tools_kernel.cc
0 → 100644
浏览文件 @
1c0db09a
// Copyright (c) 2022 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 <vector>
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/common/bfloat16.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/math_function.h"
#include "paddle/phi/kernels/impl/debug_tools_impl.h"
PD_REGISTER_KERNEL
(
check_model_nan_inf
,
CPU
,
ALL_LAYOUT
,
phi
::
CheckModelNanInfKernel
,
bool
,
float
,
double
,
int32_t
,
int64_t
,
phi
::
dtype
::
float16
,
phi
::
dtype
::
bfloat16
,
phi
::
dtype
::
complex
<
float
>
,
phi
::
dtype
::
complex
<
double
>
)
{}
paddle/phi/kernels/gpu/debug_tools_kernel.cu
0 → 100644
浏览文件 @
1c0db09a
// Copyright (c) 2022 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 <vector>
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/backends/gpu/gpu_launch_config.h"
#include "paddle/phi/backends/gpu/gpu_primitives.h"
#include "paddle/phi/common/bfloat16.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/impl/debug_tools_impl.h"
PD_REGISTER_KERNEL
(
check_model_nan_inf
,
GPU
,
ALL_LAYOUT
,
phi
::
CheckModelNanInfKernel
,
bool
,
float
,
double
,
int32_t
,
int64_t
,
phi
::
dtype
::
float16
,
phi
::
dtype
::
bfloat16
,
phi
::
dtype
::
complex
<
float
>
,
phi
::
dtype
::
complex
<
double
>
)
{}
paddle/phi/kernels/impl/debug_tools_impl.h
0 → 100644
浏览文件 @
1c0db09a
// Copyright (c) 2023 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.
#pragma once
#include "glog/logging.h"
#include "paddle/phi/core/flags.h"
#include "paddle/phi/kernels/cast_kernel.h"
#include "paddle/phi/kernels/funcs/math_function.h"
PHI_DECLARE_bool
(
check_nan_inf
);
namespace
phi
{
template
<
typename
T
,
typename
Context
>
void
CheckModelNanInfKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
x
,
int
flag
,
DenseTensor
*
out
)
{
phi
::
CastKernel
<
T
>
(
dev_ctx
,
x
,
x
.
dtype
(),
out
);
VLOG
(
6
)
<<
"model_check_nan_inf: Change FLAGS_check_nan_inf "
<<
FLAGS_check_nan_inf
<<
" to "
<<
flag
;
FLAGS_check_nan_inf
=
flag
;
}
}
// namespace phi
python/paddle/amp/debugging.py
浏览文件 @
1c0db09a
...
...
@@ -35,6 +35,7 @@ __all__ = [
"enable_tensor_checker"
,
"disable_tensor_checker"
,
"compare_accuracy"
,
"check_layer_numerics"
,
]
...
...
@@ -60,6 +61,77 @@ class DebugMode(Enum):
# DUMP_ALL = 5
def
check_layer_numerics
(
func
):
"""
This decorator is used to check the numerical values of the layer's input and output data.
Args:
func (callable): The function to be decorated.
Returns:
callable: The decorated function.
Raises:
None.
Example:
import paddle
class MyLayer(paddle.nn.Layer):
def __init__(self, dtype):
super().__init__()
self._w = self.create_parameter([2, 3], dtype=dtype)
self._b = self.create_parameter([2, 3], dtype=dtype)
@paddle.amp.debugging.check_layer_numerics
def forward(self, x):
# return 1/x * self._w + self._b open it you will see the error log
return x * self._w + self._b
dtype = 'float32'
x = paddle.rand([10, 2, 2], dtype=dtype)
model = MyLayer(dtype)
x[0] = float(0)
loss = model(x)
adam = paddle.optimizer.Adam(parameters=model.parameters())
loss.backward()
adam.step()
#error log
#[PRECISION] [ERROR] in [device=gpu:0, op=divide, tensor=, dtype=fp32], numel=40, num_nan=0, num_inf=4, num_zero=0, max=inf, min=1.048930e+00, mean=inf
#Traceback (most recent call last):
# File "tmp.py", line 16, in <module>
# loss = model(x)
# File "/paddle/nn/layer/layers.py", line 1254, in __call__
# return self.forward(*inputs, **kwargs)
# File "/paddle/amp/debugging.py", line 116, in wrapper
# out_data = func(self, *modified_args, **kwargs)
# File "test.py", line 10, in forward
# return 1/x * self._w+ self._b
#RuntimeError: (PreconditionNotMet) There are NAN or INF (num_nan=0, num_inf=4, num_zero=0) in [device=gpu:0, op=divide, tensor=, dtype=fp32].
"""
def
wrapper
(
self
,
*
args
,
**
kwargs
):
if
args
:
# Set temp data and temp.gradient = False
start_data
=
args
[
0
]
start_data
.
stop_gradient
=
False
modified_args
=
list
(
args
)
# Convert args to a mutable list
# Set FLAGS_check_nan_inf = 1
modified_args
[
0
]
=
_C_ops
.
enable_check_model_nan_inf
(
start_data
,
1
)
# Call the forward function
out_data
=
func
(
self
,
*
modified_args
,
**
kwargs
)
# Set FLAGS_check_nan_inf = 0
out
=
_C_ops
.
disable_check_model_nan_inf
(
out_data
,
0
)
return
out
else
:
print
(
"No elements found in args"
)
out
=
func
(
self
,
*
args
,
**
kwargs
)
return
out
return
wrapper
def
set_checked_op_list
(
checked_op_list
):
# check checked_op_list
if
checked_op_list
is
not
None
:
...
...
test/amp/test_tensor_checker.py
浏览文件 @
1c0db09a
...
...
@@ -118,5 +118,26 @@ class TestTensorChecker(unittest.TestCase):
_assert_flag
(
False
)
class
TestCheckLayerNumerics
(
unittest
.
TestCase
):
def
test_layer_checker
(
self
):
class
MyLayer
(
paddle
.
nn
.
Layer
):
def
__init__
(
self
,
dtype
):
super
().
__init__
()
self
.
_w
=
self
.
create_parameter
([
2
,
3
],
dtype
=
dtype
)
self
.
_b
=
self
.
create_parameter
([
2
,
3
],
dtype
=
dtype
)
@
paddle
.
amp
.
debugging
.
check_layer_numerics
def
forward
(
self
,
x
):
return
x
*
self
.
_w
+
self
.
_b
dtype
=
'float32'
x
=
paddle
.
rand
([
10
,
2
,
3
],
dtype
=
dtype
)
model
=
MyLayer
(
dtype
)
loss
=
model
(
x
)
adam
=
paddle
.
optimizer
.
Adam
(
parameters
=
model
.
parameters
())
loss
.
backward
()
adam
.
step
()
if
__name__
==
'__main__'
:
unittest
.
main
()
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