提交 afe7bf61 编写于 作者: Y Yu Yang 提交者: GitHub

Merge pull request #3032 from reyoung/feature/middle_level_net_api

Feature/middle level net api
......@@ -56,7 +56,9 @@ class Scope {
if (var) {
return var;
} else {
vars_[name] = std::unique_ptr<Variable>(new Variable());
auto ptr = new Variable();
name_to_var_[name] = std::unique_ptr<Variable>(ptr);
var_to_name_[ptr] = name;
return GetVariable(name);
}
}
......@@ -68,8 +70,8 @@ class Scope {
* from it's parent scope. Return nullptr if not found.
*/
Variable* GetVariable(const std::string& name) const {
auto it = vars_.find(name);
if (it != vars_.end()) {
auto it = name_to_var_.find(name);
if (it != name_to_var_.end()) {
return it->second.get();
} else if (parent_ != nullptr) {
return parent_->GetVariable(name);
......@@ -84,12 +86,21 @@ class Scope {
* Find if there is a Variable in this scope and it's parent scope
*/
bool HasVariable(const std::string& name) const {
return (vars_.find(name) != vars_.end() ||
return (name_to_var_.find(name) != name_to_var_.end() ||
(parent_ && parent_->HasVariable(name)));
}
std::string GetVariableName(Variable* const var) const {
try {
return var_to_name_.at(var);
} catch (...) {
return "";
}
}
private:
std::unordered_map<std::string, std::unique_ptr<Variable>> vars_;
std::unordered_map<Variable*, std::string> var_to_name_;
std::unordered_map<std::string, std::unique_ptr<Variable>> name_to_var_;
std::shared_ptr<Scope> parent_{nullptr};
};
......
......@@ -40,6 +40,11 @@ TEST(Scope, Create) {
/// already exist.
Variable* var4 = scope->CreateVariable("a");
EXPECT_EQ(var4, var2);
EXPECT_EQ("a", scope->GetVariableName(var4));
Scope scope2;
auto var = scope2.CreateVariable("tmp");
EXPECT_EQ("", scope->GetVariableName(var));
}
TEST(Scope, Parent) {
......
......@@ -48,6 +48,11 @@ void ExposeOperator(ClassType& m) {
.def("__str__", &ClassType::type::DebugString);
}
static size_t UniqueIntegerGenerator() {
static std::atomic<size_t> generator;
return generator.fetch_add(1);
}
PYBIND11_PLUGIN(core) {
py::module m("core", "C++ core of PaddlePaddle");
......@@ -98,7 +103,8 @@ All parameter, weight, gradient are variables in Paddle.
py::return_value_policy::reference)
.def("create_var",
&pd::Scope::CreateVariable,
py::return_value_policy::reference);
py::return_value_policy::reference)
.def("get_var_name", &pd::Scope::GetVariableName);
//! @note: Be careful! PyBind will return std::string as an unicode, not
//! Python str. If you want a str object, you should cast them in Python.
......@@ -141,10 +147,9 @@ All parameter, weight, gradient are variables in Paddle.
ExposeOperator(operator_base);
using PlainNetPtr = std::shared_ptr<pd::PlainNet>;
py::class_<pd::PlainNet, PlainNetPtr> plain_net(m, "PlainNet");
py::class_<pd::PlainNet, PlainNetPtr> net(m, "Net");
plain_net
.def_static("create",
net.def_static("create",
[]() -> std::shared_ptr<pd::PlainNet> {
auto retv = std::make_shared<pd::PlainNet>();
retv->type_ = "plain_net";
......@@ -152,12 +157,14 @@ All parameter, weight, gradient are variables in Paddle.
})
.def("add_op", &pd::PlainNet::AddOp)
.def("add_op",
[](PlainNetPtr& self, const PlainNetPtr& plain_net) -> void {
self->AddOp(std::static_pointer_cast<pd::OperatorBase>(plain_net));
[](PlainNetPtr& self, const PlainNetPtr& net) -> void {
self->AddOp(std::static_pointer_cast<pd::OperatorBase>(net));
})
.def("complete_add_op", &pd::PlainNet::CompleteAddOp)
.def("complete_add_op", [](PlainNetPtr& self) { self->CompleteAddOp(); });
ExposeOperator(plain_net);
ExposeOperator(net);
m.def("unique_integer", UniqueIntegerGenerator);
return m.ptr();
}
......@@ -220,6 +220,9 @@ def create_op_creation_method(op_proto):
__impl__.all_input_args = [var.name for var in op_proto.inputs]
__impl__.all_output_args = [var.name for var in op_proto.outputs]
__impl__.all_attr_args = [attr.name for attr in op_proto.attrs]
__impl__.all_not_temp_output_args = [
var.name for var in op_proto.outputs if not var.temporary
]
return __impl__
......
import paddle.v2.framework.core as core
from paddle.v2.framework.create_op_creation_methods import op_creations
from default_scope_funcs import create_var, get_var, get_cur_scope
__all__ = ['Network'] # Only expose Network
class NetworkFunctor(object):
"""
Network Op Creation Function. Used internally in this module.
It convert string input to Variable. If it is not created before, just
create in scope.
It is a functor object. means the instances are callable.
:param func: The op creation function which generated in Python.
:param net: The Network instance.
"""
def __init__(self, func, net):
self.func = func
self.net = net
def __call__(self, *args, **kwargs):
if len(args) != 0:
raise ValueError("Paddle must use keyword argument")
inputs = self.func.all_input_args
for ipt in inputs:
if ipt in kwargs:
var = kwargs[ipt]
if isinstance(var, basestring):
var = create_var(var)
if not isinstance(var, core.Variable):
raise TypeError(
"Input of op creation must be string or variable")
kwargs[ipt] = get_cur_scope().get_var_name(var)
notemp_outputs = self.func.all_not_temp_output_args
for name in notemp_outputs:
if name not in kwargs:
kwargs[
name] = self.func.__name__ + "@OUT@%d" % core.unique_integer(
)
outputs = self.func.all_output_args
for opt in outputs:
if opt in kwargs:
var = kwargs[opt]
if isinstance(var, basestring):
var = create_var(var)
if not isinstance(var, core.Variable):
raise TypeError(
"Output of op creation must be string or variable")
kwargs[opt] = get_cur_scope().get_var_name(var)
op = self.func(**kwargs)
self.net.net.add_op(op)
lst = [get_var(kwargs[opt]) for opt in notemp_outputs]
if len(lst) == 1:
return lst[0]
elif len(lst) == 0:
return None
else:
return lst
class Network(object):
"""
The network concept. It avoid user to manually create operator, create
variable, and combine them into a Net. Just use Network.xxx can create the
operator, create variables in default scope, and add them into `self.net`.
For example:
.. code-block: python
net = Network()
out = net.add_two(X="a", Y="b")
fc_out = net.fc(X="out", W="fc.w")
net.run(...)
"""
def __init__(self):
self.net = core.Net.create()
funcs = (func_name for func_name in dir(op_creations)
if not func_name.startswith("__"))
# TODO(yuyang18): This code can work, but do not generate a good
# docstring, try to give a better way generate function in runtime
# later.
for func_name in funcs:
func = getattr(op_creations, func_name)
impl = NetworkFunctor(func, self)
setattr(self, func_name, impl.__call__)
self.__complete_add_op__ = False
def infer_shape(self):
self.complete_add_op()
self.net.infer_shape(get_cur_scope())
def run(self, device_context):
self.complete_add_op()
self.net.run(get_cur_scope(), device_context)
def __str__(self):
return str(self.net)
def complete_add_op(self):
if not self.__complete_add_op__:
self.net.complete_add_op()
self.__complete_add_op__ = True
if __name__ == '__main__':
net = Network()
out = net.add_two(X="a", Y="b")
fc_out = net.fc(X=out, W="fc.w", b="fc.b", activation="softmax")
net.complete_add_op()
print net
......@@ -3,7 +3,7 @@ add_python_test(test_framework
test_scope.py
test_default_scope_funcs.py
test_op_creation_methods.py
test_plain_net.py
test_net.py
test_tensor.py
test_fc_op.py
test_add_two_op.py
......@@ -12,4 +12,5 @@ add_python_test(test_framework
test_mul_op.py
test_sigmoid_op.py
test_softmax_op.py
test_rowwise_add_op.py)
test_rowwise_add_op.py
test_network.py)
......@@ -5,11 +5,11 @@ import unittest
class TestNet(unittest.TestCase):
def test_net_all(self):
net = core.PlainNet.create()
net = core.Net.create()
op1 = op_creations.add_two(X="X", Y="Y", Out="Out")
net.add_op(op1)
net2 = core.PlainNet.create()
net2 = core.Net.create()
net2.add_op(op_creations.fc(X="X", W="w", Y="fc.out"))
net2.complete_add_op(True)
net.add_op(net2)
......
from paddle.v2.framework.network import Network
import paddle.v2.framework.core as core
import unittest
class TestNet(unittest.TestCase):
def test_net_all(self):
net = Network()
out = net.add_two(X="X", Y="Y")
fc_out = net.fc(X=out, W="w")
net.complete_add_op()
self.assertTrue(isinstance(fc_out, core.Variable))
self.assertEqual(
'''Op(plain_net), inputs:(@EMPTY@, X, Y, w), outputs:(@TEMP@fc@0, add_two@OUT@0, fc@OUT@1).
Op(add_two), inputs:(X, Y), outputs:(add_two@OUT@0).
Op(fc), inputs:(add_two@OUT@0, w, @EMPTY@), outputs:(fc@OUT@1, @TEMP@fc@0).
Op(mul), inputs:(add_two@OUT@0, w), outputs:(@TEMP@fc@0).
Op(sigmoid), inputs:(@TEMP@fc@0), outputs:(fc@OUT@1).
''', str(net))
net2 = Network()
tmp = net2.add_two(X="X", Y="Y")
self.assertTrue(isinstance(tmp, core.Variable))
net2.complete_add_op()
self.assertEqual(
'''Op(plain_net), inputs:(X, Y), outputs:(add_two@OUT@2).
Op(add_two), inputs:(X, Y), outputs:(add_two@OUT@2).
''', str(net2))
if __name__ == '__main__':
unittest.main()
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