提交 f1e55335 编写于 作者: Y Yu Yang

Rename `Net::AddOp` to `Net::AppendOp`

Fix #3582
上级 0d9846f3
...@@ -110,7 +110,7 @@ static std::unique_ptr<OperatorBase> BackwardRecursive( ...@@ -110,7 +110,7 @@ static std::unique_ptr<OperatorBase> BackwardRecursive(
dup_output_ops[out].emplace_back(local_op_id); dup_output_ops[out].emplace_back(local_op_id);
return false; return false;
}); });
net->AddOp(std::move(bwd)); net->AppendOp(std::move(bwd));
} }
// Get unique ID for this method. // Get unique ID for this method.
auto uid = uniq_id++; auto uid = uniq_id++;
...@@ -163,7 +163,8 @@ static std::unique_ptr<OperatorBase> BackwardRecursive( ...@@ -163,7 +163,8 @@ static std::unique_ptr<OperatorBase> BackwardRecursive(
// If part of input gradient of that operator is not calculated, fill // If part of input gradient of that operator is not calculated, fill
// zero variables to that input gradient. // zero variables to that input gradient.
net->AddOp(OpRegistry::CreateOp("fill_zeros_like", {{"Src", {prefix}}}, net->AppendOp(OpRegistry::CreateOp("fill_zeros_like",
{{"Src", {prefix}}},
{{"Dst", {grad_input}}}, {})); {{"Dst", {grad_input}}}, {}));
} }
return false; return false;
...@@ -195,7 +196,7 @@ static std::unique_ptr<OperatorBase> BackwardRecursive( ...@@ -195,7 +196,7 @@ static std::unique_ptr<OperatorBase> BackwardRecursive(
if (net->ops_.empty()) { // Current no aux op is added to network if (net->ops_.empty()) { // Current no aux op is added to network
return grad_op; return grad_op;
} }
net->AddOp(std::move(grad_op)); net->AppendOp(std::move(grad_op));
} }
net->SetType("@GENERATED_BACKWARD@"); net->SetType("@GENERATED_BACKWARD@");
net->CompleteAddOp(); net->CompleteAddOp();
......
...@@ -75,13 +75,13 @@ class FcOp : public operators::NetOp { ...@@ -75,13 +75,13 @@ class FcOp : public operators::NetOp {
FcOp(const std::string &type, const VarNameMap &inputs, FcOp(const std::string &type, const VarNameMap &inputs,
const VarNameMap &outputs, const AttributeMap &attrs) const VarNameMap &outputs, const AttributeMap &attrs)
: NetOp(type, inputs, outputs, attrs) { : NetOp(type, inputs, outputs, attrs) {
AddOp(OpRegistry::CreateOp("mul", AppendOp(OpRegistry::CreateOp("mul",
{{"X", {Input("X")}}, {"Y", {Input("W")}}}, {{"X", {Input("X")}}, {"Y", {Input("W")}}},
{{"Out", {Output("mul_result")}}}, {})); {{"Out", {Output("mul_result")}}}, {}));
auto input_b = Inputs("b"); auto input_b = Inputs("b");
std::string before_act = "mul_result"; std::string before_act = "mul_result";
if (input_b.size() != 0) { if (input_b.size() != 0) {
AddOp(OpRegistry::CreateOp( AppendOp(OpRegistry::CreateOp(
"rowwise_add", {{"X", {Output("mul_result")}}, {"b", {input_b[0]}}}, "rowwise_add", {{"X", {Output("mul_result")}}, {"b", {input_b[0]}}},
{{"Out", {Output("add_result")}}}, {})); {{"Out", {Output("add_result")}}}, {}));
before_act = "add_result"; before_act = "add_result";
...@@ -92,7 +92,7 @@ class FcOp : public operators::NetOp { ...@@ -92,7 +92,7 @@ class FcOp : public operators::NetOp {
} }
} }
AddOp(OpRegistry::CreateOp("sigmoid", {{"X", {Output(before_act)}}}, AppendOp(OpRegistry::CreateOp("sigmoid", {{"X", {Output(before_act)}}},
{{"Out", {Output("Out")}}}, {})); {{"Out", {Output("Out")}}}, {}));
CompleteAddOp(false); CompleteAddOp(false);
} }
...@@ -234,13 +234,13 @@ TEST(Backward, net_fc_backward_not_have_b) { ...@@ -234,13 +234,13 @@ TEST(Backward, net_fc_backward_not_have_b) {
TEST(Backward, net_input_of_network_not_need_grad) { TEST(Backward, net_input_of_network_not_need_grad) {
ops::NetOp net; ops::NetOp net;
net.AddOp(f::OpRegistry::CreateOp( net.AppendOp(f::OpRegistry::CreateOp(
"fc", {{"X", {"x"}}, {"W", {"W1"}}, {"b", {"b1"}}}, "fc", {{"X", {"x"}}, {"W", {"W1"}}, {"b", {"b1"}}},
{{"mul_result", {"mul_tmp_0"}}, {{"mul_result", {"mul_tmp_0"}},
{"add_result", {"add_tmp_0"}}, {"add_result", {"add_tmp_0"}},
{"Out", {"hidden0"}}}, {"Out", {"hidden0"}}},
{})); {}));
net.AddOp(f::OpRegistry::CreateOp( net.AppendOp(f::OpRegistry::CreateOp(
"fc", {{"X", {"hidden0"}}, {"W", {"W2"}}, {"b", {"b2"}}}, "fc", {{"X", {"hidden0"}}, {"W", {"W2"}}, {"b", {"b2"}}},
{{"mul_result", {"mul_tmp_1"}}, {{"mul_result", {"mul_tmp_1"}},
{"add_result", {"add_tmp_1"}}, {"add_result", {"add_tmp_1"}},
...@@ -273,9 +273,9 @@ TEST(Backward, net_input_of_network_not_need_grad) { ...@@ -273,9 +273,9 @@ TEST(Backward, net_input_of_network_not_need_grad) {
TEST(Backward, net_shared_weight) { TEST(Backward, net_shared_weight) {
ops::NetOp net; ops::NetOp net;
net.AddOp(f::OpRegistry::CreateOp("mul", {{"X", {"x"}}, {"Y", {"w"}}}, net.AppendOp(f::OpRegistry::CreateOp("mul", {{"X", {"x"}}, {"Y", {"w"}}},
{{"Out", {"out"}}}, {})); {{"Out", {"out"}}}, {}));
net.AddOp(f::OpRegistry::CreateOp("mul", {{"X", {"out"}}, {"Y", {"w"}}}, net.AppendOp(f::OpRegistry::CreateOp("mul", {{"X", {"out"}}, {"Y", {"w"}}},
{{"Out", {"FinalOut"}}}, {})); {{"Out", {"FinalOut"}}}, {}));
net.CompleteAddOp(); net.CompleteAddOp();
...@@ -357,19 +357,19 @@ TEST(Backward, op_part_of_input_are_not_need) { ...@@ -357,19 +357,19 @@ TEST(Backward, op_part_of_input_are_not_need) {
TEST(Backward, linear_net_intermediate_variable_has_no_grad) { TEST(Backward, linear_net_intermediate_variable_has_no_grad) {
ops::NetOp net; ops::NetOp net;
net.AddOp(f::OpRegistry::CreateOp( net.AppendOp(f::OpRegistry::CreateOp(
"fc", {{"X", {"x1"}}, {"W", {"w1"}}, {"b", {"b1"}}}, "fc", {{"X", {"x1"}}, {"W", {"w1"}}, {"b", {"b1"}}},
{{"mul_result", {"mul_out1"}}, {{"mul_result", {"mul_out1"}},
{"add_result", {"add_out1"}}, {"add_result", {"add_out1"}},
{"Out", {"out1"}}}, {"Out", {"out1"}}},
{})); {}));
net.AddOp(f::OpRegistry::CreateOp( net.AppendOp(f::OpRegistry::CreateOp(
"fc", {{"X", {"out1"}}, {"W", {"w2"}}, {"b", {"b2"}}}, "fc", {{"X", {"out1"}}, {"W", {"w2"}}, {"b", {"b2"}}},
{{"mul_result", {"mul_out2"}}, {{"mul_result", {"mul_out2"}},
{"add_result", {"tmp_out2"}}, {"add_result", {"tmp_out2"}},
{"Out", {"out2"}}}, {"Out", {"out2"}}},
{})); {}));
net.AddOp(f::OpRegistry::CreateOp( net.AppendOp(f::OpRegistry::CreateOp(
"fc", {{"X", {"out2"}}, {"W", {"w3"}}, {"b", {"b3"}}}, "fc", {{"X", {"out2"}}, {"W", {"w3"}}, {"b", {"b3"}}},
{{"mul_result", {"mul_out3"}}, {{"mul_result", {"mul_out3"}},
{"add_result", {"tmp_out3"}}, {"add_result", {"tmp_out3"}},
......
...@@ -222,8 +222,8 @@ All parameter, weight, gradient are variables in Paddle. ...@@ -222,8 +222,8 @@ All parameter, weight, gradient are variables in Paddle.
retv->SetType("plain_net"); retv->SetType("plain_net");
return retv; return retv;
}) })
.def("add_op", [](operators::NetOp &self, .def("append_op", [](operators::NetOp &self,
const OperatorBase &op) { self.AddOp(op); }) const OperatorBase &op) { self.AppendOp(op); })
.def("complete_add_op", &operators::NetOp::CompleteAddOp) .def("complete_add_op", &operators::NetOp::CompleteAddOp)
.def("complete_add_op", [](std::shared_ptr<operators::NetOp> &self) { .def("complete_add_op", [](std::shared_ptr<operators::NetOp> &self) {
self->CompleteAddOp(); self->CompleteAddOp();
......
...@@ -84,13 +84,14 @@ class NetOp : public framework::OperatorBase { ...@@ -84,13 +84,14 @@ class NetOp : public framework::OperatorBase {
return true; return true;
} }
void AddOp(const framework::OperatorBase& op) { AddOp(op.Clone()); } void AppendOp(const framework::OperatorBase& op) { AppendOp(op.Clone()); }
/** /**
* @brief Add an operator by ptr * @brief Add an operator by ptr
*/ */
void AddOp(std::unique_ptr<framework::OperatorBase> op) { void AppendOp(std::unique_ptr<framework::OperatorBase> op) {
PADDLE_ENFORCE(!add_op_done_, "Cannot AddOp when this network is sealed"); PADDLE_ENFORCE(!add_op_done_,
"Cannot AppendOp when this network is sealed");
PADDLE_ENFORCE_NOT_NULL(op, "Cannot Insert Null op"); PADDLE_ENFORCE_NOT_NULL(op, "Cannot Insert Null op");
ops_.push_back(std::move(op)); ops_.push_back(std::move(op));
} }
......
...@@ -38,10 +38,10 @@ TEST(OpKernel, all) { ...@@ -38,10 +38,10 @@ TEST(OpKernel, all) {
auto net = std::make_shared<NetOp>(); auto net = std::make_shared<NetOp>();
ASSERT_NE(net, nullptr); ASSERT_NE(net, nullptr);
net->AddOp(std::unique_ptr<TestOp>( net->AppendOp(std::unique_ptr<TestOp>(
new TestOp("test", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}}, new TestOp("test", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}},
{{"Out", {"y"}}}, {}))); {{"Out", {"y"}}}, {})));
net->AddOp(std::unique_ptr<TestOp>( net->AppendOp(std::unique_ptr<TestOp>(
new TestOp("test", {{"X", {"y"}}, {"W", {"w2"}}, {"b", {"b2"}}}, new TestOp("test", {{"X", {"y"}}, {"W", {"w2"}}, {"b", {"b2"}}},
{{"Out", {"z"}}}, {}))); {{"Out", {"z"}}}, {})));
...@@ -61,7 +61,7 @@ TEST(NetOp, insert_op) { ...@@ -61,7 +61,7 @@ TEST(NetOp, insert_op) {
auto op1 = std::unique_ptr<framework::NOP>( auto op1 = std::unique_ptr<framework::NOP>(
new framework::NOP("empty", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}}, new framework::NOP("empty", {{"X", {"x"}}, {"W", {"w1"}}, {"b", {"b1"}}},
{{"Out", {"y"}}}, {})); {{"Out", {"y"}}}, {}));
net.AddOp(*op1); net.AppendOp(*op1);
net.InsertOp(0, *op1); net.InsertOp(0, *op1);
ASSERT_EQ(2UL, net.ops_.size()); ASSERT_EQ(2UL, net.ops_.size());
net.InsertOp(2, std::move(op1)); net.InsertOp(2, std::move(op1));
...@@ -70,9 +70,9 @@ TEST(NetOp, insert_op) { ...@@ -70,9 +70,9 @@ TEST(NetOp, insert_op) {
TEST(NetOp, Clone) { TEST(NetOp, Clone) {
NetOp net; NetOp net;
net.AddOp( net.AppendOp(
std::unique_ptr<framework::NOP>(new framework::NOP{"empty", {}, {}, {}})); std::unique_ptr<framework::NOP>(new framework::NOP{"empty", {}, {}, {}}));
net.AddOp(std::unique_ptr<framework::NOP>( net.AppendOp(std::unique_ptr<framework::NOP>(
new framework::NOP{"empty2", {}, {}, {}})); new framework::NOP{"empty2", {}, {}, {}}));
net.CompleteAddOp(true); net.CompleteAddOp(true);
auto new_net_op = net.Clone(); auto new_net_op = net.Clone();
......
...@@ -6,8 +6,8 @@ import unittest ...@@ -6,8 +6,8 @@ import unittest
def fc(X, W, Y): def fc(X, W, Y):
ret_v = core.Net.create() ret_v = core.Net.create()
ret_v.add_op(Operator("mul", X="X", Y="W", Out="pre_activation")) ret_v.append_op(Operator("mul", X="X", Y="W", Out="pre_activation"))
ret_v.add_op(Operator("sigmoid", X="pre_activation", Y=Y)) ret_v.append_op(Operator("sigmoid", X="pre_activation", Y=Y))
ret_v.complete_add_op(True) ret_v.complete_add_op(True)
return ret_v return ret_v
...@@ -16,12 +16,12 @@ class TestNet(unittest.TestCase): ...@@ -16,12 +16,12 @@ class TestNet(unittest.TestCase):
def test_net_all(self): def test_net_all(self):
net = core.Net.create() net = core.Net.create()
op1 = Operator("add_two", X="X", Y="Y", Out="Out") op1 = Operator("add_two", X="X", Y="Y", Out="Out")
net.add_op(op1) net.append_op(op1)
net2 = core.Net.create() net2 = core.Net.create()
net2.add_op(fc(X="X", W="w", Y="fc.out")) net2.append_op(fc(X="X", W="w", Y="fc.out"))
net2.complete_add_op(True) net2.complete_add_op(True)
net.add_op(net2) net.append_op(net2)
net.complete_add_op(True) net.complete_add_op(True)
expected = ''' expected = '''
......
...@@ -150,7 +150,7 @@ class TestRecurrentOp(unittest.TestCase): ...@@ -150,7 +150,7 @@ class TestRecurrentOp(unittest.TestCase):
sig_op = Operator("sigmoid", X="sum", Y="h@alias") sig_op = Operator("sigmoid", X="sum", Y="h@alias")
for op in [x_fc_op, h_fc_op, sum_op, sig_op]: for op in [x_fc_op, h_fc_op, sum_op, sig_op]:
stepnet.add_op(op) stepnet.append_op(op)
stepnet.complete_add_op(True) stepnet.complete_add_op(True)
self.rnnop.set_stepnet(stepnet) self.rnnop.set_stepnet(stepnet)
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册