Merge pull request #22037 from xiong-jie-y:py_gapi_add_state_kernel

Add stateful kernel to python G-API
This commit is contained in:
Alexander Smorkalov 2022-09-09 15:13:22 +03:00 committed by GitHub
commit 866191478f
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GPG Key ID: 4AEE18F83AFDEB23
5 changed files with 297 additions and 51 deletions

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@ -31,19 +31,22 @@ struct GPythonContext
const cv::GArgs &ins;
const cv::GMetaArgs &in_metas;
const cv::GTypesInfo &out_info;
cv::optional<cv::GArg> m_state;
};
using Impl = std::function<cv::GRunArgs(const GPythonContext&)>;
using Setup = std::function<cv::GArg(const GMetaArgs&, const GArgs&)>;
class GAPI_EXPORTS GPythonKernel
{
public:
GPythonKernel() = default;
GPythonKernel(Impl run);
GPythonKernel(Impl run, Setup setup);
cv::GRunArgs operator()(const GPythonContext& ctx);
private:
Impl m_run;
Impl run;
Setup setup = nullptr;
bool is_stateful = false;
};
class GAPI_EXPORTS GPythonFunctor : public cv::gapi::GFunctor
@ -51,7 +54,8 @@ class GAPI_EXPORTS GPythonFunctor : public cv::gapi::GFunctor
public:
using Meta = cv::GKernel::M;
GPythonFunctor(const char* id, const Meta &meta, const Impl& impl);
GPythonFunctor(const char* id, const Meta& meta, const Impl& impl,
const Setup& setup = nullptr);
GKernelImpl impl() const override;
gapi::GBackend backend() const override;

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@ -660,7 +660,8 @@ static cv::GRunArgs run_py_kernel(cv::detail::PyObjectHolder kernel,
// NB: Doesn't increase reference counter (false),
// because PyObject already have ownership.
// In case exception decrement reference counter.
cv::detail::PyObjectHolder args(PyTuple_New(ins.size()), false);
cv::detail::PyObjectHolder args(
PyTuple_New(ctx.m_state.has_value() ? ins.size() + 1 : ins.size()), false);
for (size_t i = 0; i < ins.size(); ++i)
{
// NB: If meta is monostate then object isn't associated with G-TYPE.
@ -690,6 +691,12 @@ static cv::GRunArgs run_py_kernel(cv::detail::PyObjectHolder kernel,
}
++in_idx;
}
if (ctx.m_state.has_value())
{
PyTuple_SetItem(args.get(), ins.size(), pyopencv_from(ctx.m_state.value()));
}
// NB: Doesn't increase reference counter (false).
// In case PyObject_CallObject return NULL, do nothing in destructor.
cv::detail::PyObjectHolder result(
@ -736,6 +743,86 @@ static cv::GRunArgs run_py_kernel(cv::detail::PyObjectHolder kernel,
return outs;
}
static void unpackMetasToTuple(const cv::GMetaArgs& meta,
const cv::GArgs& gargs,
cv::detail::PyObjectHolder& tuple)
{
size_t idx = 0;
for (auto&& m : meta)
{
switch (m.index())
{
case cv::GMetaArg::index_of<cv::GMatDesc>():
PyTuple_SetItem(tuple.get(), idx, pyopencv_from(cv::util::get<cv::GMatDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::GScalarDesc>():
PyTuple_SetItem(tuple.get(), idx,
pyopencv_from(cv::util::get<cv::GScalarDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::GArrayDesc>():
PyTuple_SetItem(tuple.get(), idx,
pyopencv_from(cv::util::get<cv::GArrayDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::GOpaqueDesc>():
PyTuple_SetItem(tuple.get(), idx,
pyopencv_from(cv::util::get<cv::GOpaqueDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::util::monostate>():
PyTuple_SetItem(tuple.get(), idx, pyopencv_from(gargs[idx]));
break;
case cv::GMetaArg::index_of<cv::GFrameDesc>():
util::throw_error(
std::logic_error("GFrame isn't supported for custom operation"));
break;
}
++idx;
}
}
static cv::GArg setup_py(cv::detail::PyObjectHolder setup,
const cv::GMetaArgs& meta,
const cv::GArgs& gargs)
{
PyGILState_STATE gstate;
gstate = PyGILState_Ensure();
cv::GArg out;
try
{
// NB: Doesn't increase reference counter (false),
// because PyObject already have ownership.
// In case exception decrement reference counter.
cv::detail::PyObjectHolder args(PyTuple_New(meta.size()), false);
unpackMetasToTuple(meta, gargs, args);
// NB: Take an onwership because this state is "Python" type so it will be wrapped as-is
// into cv::GArg and stored in GPythonBackend. Object without ownership can't
// be dealocated outside this function.
cv::detail::PyObjectHolder result(PyObject_CallObject(setup.get(), args.get()), true);
if (PyErr_Occurred())
{
PyErr_PrintEx(0);
PyErr_Clear();
throw std::logic_error("Python kernel failed with error!");
}
// NB: In fact it's impossible situation, because errors were handled above.
GAPI_Assert(result.get() && "Python kernel returned NULL!");
if (!pyopencv_to(result.get(), out, ArgInfo("arg", false)))
{
util::throw_error(std::logic_error("Unsupported output meta type"));
}
}
catch (...)
{
PyGILState_Release(gstate);
throw;
}
PyGILState_Release(gstate);
return out;
}
static GMetaArg get_meta_arg(PyObject* obj)
{
cv::GMetaArg arg;
@ -761,8 +848,8 @@ static cv::GMetaArgs get_meta_args(PyObject* tuple)
}
static GMetaArgs run_py_meta(cv::detail::PyObjectHolder out_meta,
const cv::GMetaArgs &meta,
const cv::GArgs &gargs)
const cv::GMetaArgs &meta,
const cv::GArgs &gargs)
{
PyGILState_STATE gstate;
gstate = PyGILState_Ensure();
@ -774,32 +861,7 @@ static GMetaArgs run_py_meta(cv::detail::PyObjectHolder out_meta,
// because PyObject already have ownership.
// In case exception decrement reference counter.
cv::detail::PyObjectHolder args(PyTuple_New(meta.size()), false);
size_t idx = 0;
for (auto&& m : meta)
{
switch (m.index())
{
case cv::GMetaArg::index_of<cv::GMatDesc>():
PyTuple_SetItem(args.get(), idx, pyopencv_from(cv::util::get<cv::GMatDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::GScalarDesc>():
PyTuple_SetItem(args.get(), idx, pyopencv_from(cv::util::get<cv::GScalarDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::GArrayDesc>():
PyTuple_SetItem(args.get(), idx, pyopencv_from(cv::util::get<cv::GArrayDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::GOpaqueDesc>():
PyTuple_SetItem(args.get(), idx, pyopencv_from(cv::util::get<cv::GOpaqueDesc>(m)));
break;
case cv::GMetaArg::index_of<cv::util::monostate>():
PyTuple_SetItem(args.get(), idx, pyopencv_from(gargs[idx]));
break;
case cv::GMetaArg::index_of<cv::GFrameDesc>():
util::throw_error(std::logic_error("GFrame isn't supported for custom operation"));
break;
}
++idx;
}
unpackMetasToTuple(meta, gargs, args);
// NB: Doesn't increase reference counter (false).
// In case PyObject_CallObject return NULL, do nothing in destructor.
cv::detail::PyObjectHolder result(
@ -860,6 +922,10 @@ static PyObject* pyopencv_cv_gapi_kernels(PyObject* , PyObject* py_args, PyObjec
"Python kernel should contain run, please use cv.gapi.kernel to define kernel");
return NULL;
}
PyObject* setup = nullptr;
if (PyObject_HasAttrString(user_kernel, "setup")) {
setup = PyObject_GetAttrString(user_kernel, "setup");
}
std::string id;
if (!pyopencv_to(id_obj, id, ArgInfo("id", false)))
@ -869,10 +935,22 @@ static PyObject* pyopencv_cv_gapi_kernels(PyObject* , PyObject* py_args, PyObjec
}
using namespace std::placeholders;
gapi::python::GPythonFunctor f(id.c_str(),
std::bind(run_py_meta , cv::detail::PyObjectHolder{out_meta}, _1, _2),
std::bind(run_py_kernel, cv::detail::PyObjectHolder{run} , _1));
pkg.include(f);
if (setup)
{
gapi::python::GPythonFunctor f(
id.c_str(), std::bind(run_py_meta, cv::detail::PyObjectHolder{out_meta}, _1, _2),
std::bind(run_py_kernel, cv::detail::PyObjectHolder{run}, _1),
std::bind(setup_py, cv::detail::PyObjectHolder{setup}, _1, _2));
pkg.include(f);
}
else
{
gapi::python::GPythonFunctor f(
id.c_str(), std::bind(run_py_meta, cv::detail::PyObjectHolder{out_meta}, _1, _2),
std::bind(run_py_kernel, cv::detail::PyObjectHolder{run}, _1));
pkg.include(f);
}
}
return pyopencv_from(pkg);
}

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@ -432,7 +432,7 @@ try:
with self.assertRaises(Exception): create_op([cv.GMat, int], [cv.GMat]).on(cv.GMat())
def test_stateful_kernel(self):
def test_state_in_class(self):
@cv.gapi.op('custom.sum', in_types=[cv.GArray.Int], out_types=[cv.GOpaque.Int])
class GSum:
@staticmethod

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@ -0,0 +1,142 @@
#!/usr/bin/env python
import numpy as np
import cv2 as cv
import os
import sys
import unittest
from tests_common import NewOpenCVTests
try:
if sys.version_info[:2] < (3, 0):
raise unittest.SkipTest('Python 2.x is not supported')
class CounterState:
def __init__(self):
self.counter = 0
@cv.gapi.op('stateful_counter',
in_types=[cv.GOpaque.Int],
out_types=[cv.GOpaque.Int])
class GStatefulCounter:
"""Accumulate state counter on every call"""
@staticmethod
def outMeta(desc):
return cv.empty_gopaque_desc()
@cv.gapi.kernel(GStatefulCounter)
class GStatefulCounterImpl:
"""Implementation for GStatefulCounter operation."""
@staticmethod
def setup(desc):
return CounterState()
@staticmethod
def run(value, state):
state.counter += value
return state.counter
class gapi_sample_pipelines(NewOpenCVTests):
def test_stateful_kernel_single_instance(self):
g_in = cv.GOpaque.Int()
g_out = GStatefulCounter.on(g_in)
comp = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out))
pkg = cv.gapi.kernels(GStatefulCounterImpl)
nums = [i for i in range(10)]
acc = 0
for v in nums:
acc = comp.apply(cv.gin(v), args=cv.gapi.compile_args(pkg))
self.assertEqual(sum(nums), acc)
def test_stateful_kernel_multiple_instances(self):
# NB: Every counter has his own independent state.
g_in = cv.GOpaque.Int()
g_out0 = GStatefulCounter.on(g_in)
g_out1 = GStatefulCounter.on(g_in)
comp = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out0, g_out1))
pkg = cv.gapi.kernels(GStatefulCounterImpl)
nums = [i for i in range(10)]
acc0 = acc1 = 0
for v in nums:
acc0, acc1 = comp.apply(cv.gin(v), args=cv.gapi.compile_args(pkg))
ref = sum(nums)
self.assertEqual(ref, acc0)
self.assertEqual(ref, acc1)
def test_stateful_throw_setup(self):
@cv.gapi.kernel(GStatefulCounter)
class GThrowStatefulCounterImpl:
"""Implementation for GStatefulCounter operation
that throw exception in setup method"""
@staticmethod
def setup(desc):
raise Exception('Throw from setup method')
@staticmethod
def run(value, state):
raise Exception('Unreachable')
g_in = cv.GOpaque.Int()
g_out = GStatefulCounter.on(g_in)
comp = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out))
pkg = cv.gapi.kernels(GThrowStatefulCounterImpl)
with self.assertRaises(Exception): comp.apply(cv.gin(42),
args=cv.gapi.compile_args(pkg))
def test_stateful_reset(self):
g_in = cv.GOpaque.Int()
g_out = GStatefulCounter.on(g_in)
comp = cv.GComputation(cv.GIn(g_in), cv.GOut(g_out))
pkg = cv.gapi.kernels(GStatefulCounterImpl)
cc = comp.compileStreaming(args=cv.gapi.compile_args(pkg))
cc.setSource(cv.gin(1))
cc.start()
for i in range(1, 10):
_, actual = cc.pull()
self.assertEqual(i, actual)
cc.stop()
cc.setSource(cv.gin(2))
cc.start()
for i in range(2, 10, 2):
_, actual = cc.pull()
self.assertEqual(i, actual)
cc.stop()
except unittest.SkipTest as e:
message = str(e)
class TestSkip(unittest.TestCase):
def setUp(self):
self.skipTest('Skip tests: ' + message)
def test_skip():
pass
pass
if __name__ == '__main__':
NewOpenCVTests.bootstrap()

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@ -6,26 +6,25 @@
#include <ade/util/zip_range.hpp> // zip_range, indexed
#include "compiler/gmodel.hpp"
#include <opencv2/gapi/garg.hpp>
#include <opencv2/gapi/util/throw.hpp> // throw_error
#include <opencv2/gapi/python/python.hpp>
#include "api/gbackend_priv.hpp"
#include "backends/common/gbackend.hpp"
cv::gapi::python::GPythonKernel::GPythonKernel(cv::gapi::python::Impl run)
: m_run(run)
cv::gapi::python::GPythonKernel::GPythonKernel(cv::gapi::python::Impl runf,
cv::gapi::python::Setup setupf)
: run(runf), setup(setupf), is_stateful(setup != nullptr)
{
}
cv::GRunArgs cv::gapi::python::GPythonKernel::operator()(const cv::gapi::python::GPythonContext& ctx)
{
return m_run(ctx);
}
cv::gapi::python::GPythonFunctor::GPythonFunctor(const char* id,
const cv::gapi::python::GPythonFunctor::Meta &meta,
const cv::gapi::python::Impl& impl)
: gapi::GFunctor(id), impl_{GPythonKernel{impl}, meta}
const cv::gapi::python::GPythonFunctor::Meta& meta,
const cv::gapi::python::Impl& impl,
const cv::gapi::python::Setup& setup)
: gapi::GFunctor(id), impl_{GPythonKernel{impl, setup}, meta}
{
}
@ -68,6 +67,7 @@ class GPythonExecutable final: public cv::gimpl::GIslandExecutable
virtual cv::RMat allocate(const cv::GMatDesc&) const override { return {}; }
virtual bool canReshape() const override { return true; }
virtual void handleNewStream() override;
virtual void reshape(ade::Graph&, const cv::GCompileArgs&) override {
// Do nothing here
}
@ -80,6 +80,7 @@ public:
cv::gimpl::GModel::ConstGraph m_gm;
cv::gapi::python::GPythonKernel m_kernel;
ade::NodeHandle m_op;
cv::GArg m_node_state;
cv::GTypesInfo m_out_info;
cv::GMetaArgs m_in_metas;
@ -153,6 +154,15 @@ static void writeBack(cv::GRunArg& arg, cv::GRunArgP& out)
}
}
void GPythonExecutable::handleNewStream()
{
if (!m_kernel.is_stateful)
return;
m_node_state = m_kernel.setup(cv::gimpl::GModel::collectInputMeta(m_gm, m_op),
m_gm.metadata(m_op).get<cv::gimpl::Op>().args);
}
void GPythonExecutable::run(std::vector<InObj> &&input_objs,
std::vector<OutObj> &&output_objs)
{
@ -165,9 +175,15 @@ void GPythonExecutable::run(std::vector<InObj> &&input_objs,
std::back_inserter(inputs),
std::bind(&packArg, std::ref(m_res), _1));
cv::gapi::python::GPythonContext ctx{inputs, m_in_metas, m_out_info, /*state*/{}};
cv::gapi::python::GPythonContext ctx{inputs, m_in_metas, m_out_info};
auto outs = m_kernel(ctx);
// NB: For stateful kernel add state to its execution context
if (m_kernel.is_stateful)
{
ctx.m_state = cv::optional<cv::GArg>(m_node_state);
}
auto outs = m_kernel.run(ctx);
for (auto&& it : ade::util::zip(outs, output_objs))
{
@ -225,6 +241,12 @@ GPythonExecutable::GPythonExecutable(const ade::Graph& g,
m_op = *it;
m_kernel = cag.metadata(m_op).get<PythonUnit>().kernel;
// If kernel is stateful then prepare storage for its state.
if (m_kernel.is_stateful)
{
m_node_state = cv::GArg{ };
}
// Ensure this the only op in the graph
if (std::any_of(it+1, nodes.end(), is_op))
{