Thanks Nicolas, very interesting.
Caveat: I'm on holiday without a computer at the moment so can't check anything :-)
That string copying one looks like a false positive for the warning, we can probably rearrange the code to avoid it. Maybe the documentation for the warning has some advice.
The exception catch in the other one should be a catch by const reference (ie.
(const InvalidArgumentException &e)).
On the code size thing, I imagine what we have is a few clusters of highly related symbols. For example, the IsLayerSupported functions have common backend wrangling and error handling in each that maybe we could factor out?
All the best and happy Christmas!
Matthew
On 19 Dec 2018 04:44, Nicolas Pitre <nicolas.pitre(a)linaro.org> wrote:
Hello everybody,
Before we all go into Xmas mode and things start to fizzle out of my
head, here's a quick summary of my observations so far. Any comments
welcome.
To start with, Arm NN does not compile successfully with gcc version 8.2.1.
The first error to be hit is:
/home/nico/armnn/src/armnn/LayerSupport.cpp: In function ‘void armnn::{anonymous}::CopyErrorMessage(char*, const char*, size_t)’:
/home/nico/armnn/src/armnn/LayerSupport.cpp:30:21: error: ‘char* strncpy(char*, const char*, size_t)’ specified bound depends on the length of the source argument [-Werror=stringop-overflow=]
std::strncpy(truncatedString, fullString, copyLength);
~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/nico/armnn/src/armnn/LayerSupport.cpp:29:55: note: length computed here
size_t copyLength = std::min(maxLength, strlen(fullString));
~~~~~~^~~~~~~~~~~~
In function ‘void armnn::{anonymous}::CopyErrorMessage(char*, const char*, size_t)’,
inlined from ‘bool armnn::IsSpaceToBatchNdSupported(const armnn::BackendId&, const armnn::TensorInfo&, const armnn::TensorInfo&, const armnn::SpaceToBatchNdDescriptor&, char*, size_t)’ at /home/nico/armnn/src/armnn/LayerSupport.cpp:342:5:
/home/nico/armnn/src/armnn/LayerSupport.cpp:30:21: error: ‘char* strncpy(char*, const char*, size_t)’ specified bound depends on the length of the source argument [-Werror=stringop-overflow=]
std::strncpy(truncatedString, fullString, copyLength);
~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/nico/armnn/src/armnn/LayerSupport.cpp: In function ‘bool armnn::IsSpaceToBatchNdSupported(const armnn::BackendId&, const armnn::TensorInfo&, const armnn::TensorInfo&, const armnn::SpaceToBatchNdDescriptor&, char*, size_t)’:
/home/nico/armnn/src/armnn/LayerSupport.cpp:29:55: note: length computed here
size_t copyLength = std::min(maxLength, strlen(fullString));
~~~~~~^~~~~~~~~~~~
The build progresses a bit further when using -Wno-stringop-overflow.
However it then fails on this:
/home/nico/armnn/src/armnn/LayerSupport.cpp: In function ‘bool armnn::IsActivationSupported(const armnn::BackendId&, const armnn::TensorInfo&, const armnn::TensorInfo&, const armnn::ActivationDescriptor&, char*, size_t)’:
/home/nico/armnn/src/armnn/LayerSupport.cpp:60:39: error: catching polymorphic type ‘class armnn::InvalidArgumentException’ by value [-Werror=catch-value=]
} catch (InvalidArgumentException e) { \
^
/home/nico/armnn/src/armnn/LayerSupport.cpp:78:5: note: in expansion of macro ‘FORWARD_LAYER_SUPPORT_FUNC’
FORWARD_LAYER_SUPPORT_FUNC(backend, IsActivationSupported, input, output, descriptor);
^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/nico/armnn/src/armnn/LayerSupport.cpp: In function ‘bool armnn::IsAdditionSupported(const armnn::BackendId&, const armnn::TensorInfo&, const armnn::TensorInfo&, const armnn::TensorInfo&, char*, size_t)’:
/home/nico/armnn/src/armnn/LayerSupport.cpp:60:39: error: catching polymorphic type ‘class armnn::InvalidArgumentException’ by value [-Werror=catch-value=]
} catch (InvalidArgumentException e) { \
^
/home/nico/armnn/src/armnn/LayerSupport.cpp:93:5: note: in expansion of macro ‘FORWARD_LAYER_SUPPORT_FUNC’
FORWARD_LAYER_SUPPORT_FUNC(backend, IsAdditionSupported, input0, input1, output);
^~~~~~~~~~~~~~~~~~~~~~~~~~
[...]
My C++-fu is not yet up to snuff to make sense of this, so I gave up and
moved the whole thing to a build environment with gcc version 6.3.0
instead where the build completed successfully. Would be a good idea if
someone could address the above errors properly.
Now looking at the binary size. I configured out all parsers and used
the smallest ACL config (no Neon, etc) to keep things simple. I got:
$ ls -l libarmnn.so
-rwxr-xr-x 1 nico nico 2816920 Dec 14 13:53 libarmnn.so
$ size libarmnn.so
text data bss dec hex filename
2080167 69088 2436 2151691 20d50b libarmnn.so
Finding out where that 2080167 bytes of text (which also includes
rodata) is distributed should be interesting.
After some scripting, I got the following list of symbols sorted by
their size:
Type Size Symbol
T 20288 armnn::IWorkloadFactory::IsLayerSupported(armnn::BackendId const&, armnn::IConnectableLayer const&, armnn::Optional<armnn::DataType>, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >&)
T 16288 _init
d 13840 typeinfo for boost::system::(anonymous namespace)::system_error_category
T 11568 armnn::Profiler::Print(std::ostream&) const
T 7784 armnn::RefLstmFloat32Workload::Execute() const
T 6056 armnn::Optimize(armnn::INetwork const&, std::vector<armnn::BackendId, std::allocator<armnn::BackendId> > const&, armnn::IDeviceSpec const&, armnn::OptimizerOptions const&, armnn::Optional<std::vector<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >, std::allocator<std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > > >&>)
T 5344 armnn::StringifyLayerParameters<armnn::Pooling2dDescriptor>::Serialize(std::function<void (std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)>&, armnn::Pooling2dDescriptor const&)
T 5224 armnn::Graph::Print() const
T 5112 boost::thread::physical_concurrency()
T 4624 armnn::Graph::AddCopyLayers()
T 4528 armnn::LoadedNetwork::LoadedNetwork(std::unique_ptr<armnn::OptimizedNetwork, std::default_delete<armnn::OptimizedNetwork> >)
T 4520 armnn::Layer::VerifyLayerConnections(unsigned int, armnn::CheckLocation const&) const
T 4472 armnn::Runtime::UnloadNetwork(int)
T 4128 boost::log::v2s_mt_posix::attribute_name::get_id_from_string(char const*)
t 4096 e843419@002d_000018a1_5824
t 4092 e843419@007c_00003070_c
t 4092 e843419@0041_00002011_1ed0
T 4024 armnn::SubGraphSelector::SelectSubGraphs(armnn::Graph&, std::function<bool (armnn::Layer const&)> const&)
T 3864 armnn::RefBatchNormalizationUint8Workload::Execute() const
T 3776 armnn::RefConvolution2dUint8Workload::Execute() const
[...]
This shows a long list of symbols whose size follows a pretty regular
curve towards zero. In other words, there is no obvious outlier. The
first few symbols could be investigated for their largish size, but that
wouldn't make a significant dent in the total size.
However, there are 1688 symbols with a non-zero size. That corresponds
to an average of 1274 bytes per symbol which is not unreasonable. It's
the sheer amount of them that is overwhelming. Without the ability to
parse a model at compile time which would allow for static linking of
only the necessary ops then there is hardly no way to easily scale this
down.
Quick observation: the size of boost related symbols alone is 190416 bytes.
That's it for now. Once again, please feel free to comment.
Nicolas
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I followed the instructions here:
https://developer.arm.com/technologies/machine-learning-on-arm/developer-ma…
Both ArmCL and ArmNN are configured for arm64-v8a and neon.
I ran the UnitTests program which reported:
Running 842 test cases...
*** No errors detected
However, when testing with SimpleSample.cpp, I get this:
Please enter a number:
42
[2019-02-06 17:11:57.624459] [0x0000ffffa612a000] [info] ArmNN v20181100
[2019-02-06 17:11:57.624661] [0x0000ffffa612a000] [warning] ERROR: None of the preferred backends [CpuRef ] are supported. Current platform provides []
Segmentation fault
It isn't clear to me what might be wrong by looking at the source code.
Any hint would be appreciated.
Nicolas
