报错信息处理
在动态图代码转换成静态图代码的过程中,如果 ProgramTranslator 无法转换一个函数时,将会显示警告信息,并尝试直接运行该函数。 如下代码中,函数 在调用前被转换成静态图代码,当 x = inner_func(data)
调用该函数时,不能重复转换,会给出警告信息:
ProgramTranslator打印的警告信息如下:
2020-01-01 00:00:00,104-WARNING: <function inner_func at 0x125b3a550> doesn't have to be transformed to static function because it has been transformed before, it will be run as-is.
运行转换后的代码报错
如果在动转静后的静态图代码中发生异常,ProgramTranslator 会捕获该异常,增强异常报错信息,将静态图代码报错行映射到转换前的动态图代码,并重新抛出该异常。 重新抛出的异常具有以下特点:
隐藏了部分对用户无用的动转静过程调用栈;
转换前的代码会给出提示:”In User Code:”;
报错信息中包含了转换前的原始动态图代码;
运行结果:
Traceback (most recent call last):
<ipython-input-13-f9c3ea702e3a> in <module>()
func(np.ones([3, 2]))
File "paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 332, in __call__
raise new_exception
AssertionError: In user code:
File "<ipython-input-13-f9c3ea702e3a>", line 7, in func
x = fluid.layers.reshape(x, shape=[-1, -1])
File "paddle/fluid/layers/nn.py", line 6193, in reshape
attrs["shape"] = get_attr_shape(shape)
File "paddle/fluid/layers/nn.py", line 6169, in get_attr_shape
"be -1. But received shape[%d] is also -1." % dim_idx)
AssertionError: Only one dimension value of 'shape' in reshape can be -1. But received shape[1] is also -1.
上述报错信息可以分为3点:
报错栈中,涉及代码转换过程的信息栈默认会被隐藏,不进行展示,以减少干扰信息。
ProgramTranslator 处理后的报错信息中,会包含提示 “In user code:”,表示之后的报错栈中,包含动转静前的动态图代码,即用户写的代码:
其中,
File "<ipython-input-13-f9c3ea702e3a>", line 7, in func
是转换前的代码位置信息,x = fluid.layers.reshape(x, shape=[-1, -1])
是转换前的代码。
运行以下代码,在静态图运行期会抛出异常:
运行结果:
Traceback (most recent call last):
func(np.ones([3]).astype("int32"))
File "paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 332, in __call__
raise new_exception
EnforceNotMet: In user code:
File "<ipython-input-57-c63d6a351262>", line 7, in func
x = paddle.reshape(x, shape=[1, two])
File "paddle/tensor/manipulation.py", line 1347, in reshape
return paddle.fluid.layers.reshape(x=x, shape=shape, name=name)
File "paddle/fluid/layers/nn.py", line 6209, in reshape
"XShape": x_shape})
File "paddle/fluid/layer_helper.py", line 43, in append_op
return self.main_program.current_block().append_op(*args, **kwargs)
File "paddle/fluid/framework.py", line 2880, in append_op
attrs=kwargs.get("attrs", None))
File "paddle/fluid/framework.py", line 1977, in __init__
for frame in traceback.extract_stack():
C++ Traceback (most recent call last):
0 paddle::imperative::Tracer::TraceOp(std::string const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap, paddle::platform::Place const&, bool)
1 paddle::imperative::OpBase::Run(paddle::framework::OperatorBase const&, paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap const&, paddle::platform::Place const&)
2 paddle::imperative::PreparedOp::Run(paddle::imperative::NameVarBaseMap const&, paddle::imperative::NameVarBaseMap const&, paddle::framework::AttributeMap const&)
3 std::_Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CPUPlace, false, 0ul, paddle::operators::RunProgramOpKernel<paddle::platform::CPUDeviceContext, float> >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::_M_invoke(std::_Any_data const&, paddle::framework::ExecutionContext const&)
4 paddle::operators::RunProgramOpKernel<paddle::platform::CPUDeviceContext, float>::Compute(paddle::framework::ExecutionContext const&) const
5 paddle::framework::Executor::RunPartialPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, long, long, bool, bool, bool)
6 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, paddle::platform::Place const&)
7 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&) const
8 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, paddle::platform::Place const&, paddle::framework::RuntimeContext*) const
9 paddle::operators::ReshapeKernel::operator()(paddle::framework::ExecutionContext const&) const
10 paddle::operators::ReshapeOp::ValidateShape(std::vector<int, std::allocator<int> >, paddle::framework::DDim const&)
11 paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const*, int)
12 paddle::platform::GetCurrentTraceBackString()
----------------------
Error Message Summary:
----------------------
InvalidArgumentError: The 'shape' in ReshapeOp is invalid. The input tensor X'size must be equal to the capacity of 'shape'. But received X's shape = [3], X's size = 3, 'shape' is [1, 2], the capacity of 'shape' is 2.
[Hint: Expected capacity == in_size, but received capacity:2 != in_size:3.] (at /paddle/paddle/fluid/operators/reshape_op.cc:206)
[operator < reshape2 > error] [operator < run_program > error]
上述异常中,除了隐藏部分报错栈、报错定位到转换前的动态图代码外,报错信息中包含了C++报错栈 C++ Traceback
和 ,这是 Paddle 的 C++ 端异常信息,经处理后在 Python 的异常信息中显示。
注解:
如果您想查看被隐藏的信息栈,可以设置环境变量
TRANSLATOR_SIMPLIFY_NEW_ERROR=0
。该环境变量默认值为1,表示隐藏冗余的报错信息栈。