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135 lines
5.7 KiB
135 lines
5.7 KiB
#include "paddle/framework/grad_op_builder.h"
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#include <gtest/gtest.h>
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#include "paddle/framework/op_registry.h"
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#include "paddle/framework/operator.h"
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USE_OP(add_two);
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namespace paddle {
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namespace framework {
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class NOP : public OperatorBase {
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public:
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void InferShape(const Scope &scope) const override {}
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void Run(const Scope &scope,
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const platform::DeviceContext &dev_ctx) const override {}
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};
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class MutiInOutOpMaker : public OpProtoAndCheckerMaker {
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public:
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MutiInOutOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("In1", "a single input");
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AddInput("In2_mult", "a multiple input").SetMultiple();
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AddInput("In3", "another single input");
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AddOutput("Out1", "a single output");
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AddOutput("Out2_mult", "a multiple output").SetMultiple();
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AddComment("test op with multiple inputs and outputs");
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}
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};
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class IOIgnoredOpMaker : public OpProtoAndCheckerMaker {
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public:
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IOIgnoredOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("In1", "a single input");
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AddInput("In2_mult", "a multiple input").SetMultiple().IgnoreGradient();
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AddInput("In3_mult", "another multiple input").SetMultiple();
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AddOutput("Out1_mult", "a multiple output").SetMultiple();
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AddOutput("Out2", "a single output").IgnoreGradient();
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AddComment("op with inputs and outputs ignored in gradient calculating");
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}
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};
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} // namespace framework
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} // namespace paddle
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namespace f = paddle::framework;
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TEST(GradOpBuilder, AddTwo) {
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std::shared_ptr<f::OperatorBase> add_op(
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f::OpRegistry::CreateOp("add_two", {"x", "y"}, {"out"}, {}));
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std::shared_ptr<f::OperatorBase> grad_add_op =
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f::OpRegistry::CreateGradOp(*add_op);
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EXPECT_EQ(static_cast<int>(grad_add_op->inputs_.size()), 4);
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EXPECT_EQ(static_cast<int>(grad_add_op->outputs_.size()), 2);
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EXPECT_EQ(grad_add_op->Input("X"), "x");
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EXPECT_EQ(grad_add_op->Input("Y"), "y");
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EXPECT_EQ(grad_add_op->Input("Out"), "out");
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EXPECT_EQ(grad_add_op->Input("Out@GRAD"), "out@GRAD");
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EXPECT_EQ(grad_add_op->Output("X@GRAD"), "x@GRAD");
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EXPECT_EQ(grad_add_op->Output("Y@GRAD"), "y@GRAD");
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}
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REGISTER_OP(mult_io, f::NOP, f::MutiInOutOpMaker);
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REGISTER_GRADIENT_OP(mult_io, mult_io_grad, f::NOP);
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REGISTER_OP(io_ignored, f::NOP, f::IOIgnoredOpMaker);
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REGISTER_GRADIENT_OP(io_ignored, io_ignored_grad, f::NOP);
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TEST(GradOpBuilder, MutiInOut) {
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f::AttributeMap attrs{{"input_format", std::vector<int>{0, 1, 4, 5}},
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{"output_format", std::vector<int>{0, 1, 3}}};
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std::shared_ptr<f::OperatorBase> test_op(f::OpRegistry::CreateOp(
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"mult_io", {"in1", "in2_1", "in2_2", "in2_3", "in3"},
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{"out1", "out2_1", "out2_2"}, attrs));
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std::shared_ptr<f::OperatorBase> grad_test_op =
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f::OpRegistry::CreateGradOp(*test_op);
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ASSERT_EQ(grad_test_op->inputs_.size(), 5UL + 3UL + 3UL);
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EXPECT_EQ(grad_test_op->Input("In1"), "in1");
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EXPECT_EQ(grad_test_op->Inputs("In2_mult"),
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std::vector<std::string>({"in2_1", "in2_2", "in2_3"}));
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EXPECT_EQ(grad_test_op->Input("In3"), "in3");
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EXPECT_EQ(grad_test_op->Input("Out1"), "out1");
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EXPECT_EQ(grad_test_op->Inputs("Out2_mult"),
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std::vector<std::string>({"out2_1", "out2_2"}));
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EXPECT_EQ(grad_test_op->Input(f::GradVarName("Out1")),
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f::GradVarName("out1"));
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EXPECT_EQ(grad_test_op->Inputs(f::GradVarName("Out2_mult")),
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std::vector<std::string>(
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{f::GradVarName("out2_1"), f::GradVarName("out2_2")}));
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ASSERT_EQ(grad_test_op->outputs_.size(), 5UL);
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EXPECT_EQ(grad_test_op->Output(f::GradVarName("In1")), f::GradVarName("in1"));
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EXPECT_EQ(grad_test_op->Outputs(f::GradVarName("In2_mult")),
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std::vector<std::string>({f::GradVarName("in2_1"),
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f::GradVarName("in2_2"),
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f::GradVarName("in2_3")}));
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EXPECT_EQ(grad_test_op->Output(f::GradVarName("In3")), f::GradVarName("in3"));
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}
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TEST(GradOpBuilder, IOIgnoredInGradient) {
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f::AttributeMap attrs{{"input_format", std::vector<int>{0, 1, 3, 5}},
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{"output_format", std::vector<int>{0, 2, 3}}};
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std::shared_ptr<f::OperatorBase> test_op(f::OpRegistry::CreateOp(
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"io_ignored", {"in1", "in2_1", "in2_2", "in3_1", "in3_2"},
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{"out1_1", "out1_2", "out2"}, attrs));
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std::shared_ptr<f::OperatorBase> grad_test_op =
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f::OpRegistry::CreateGradOp(*test_op);
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// 'In2' and 'Out2' are ignored in gradient calculating
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ASSERT_EQ(grad_test_op->inputs_.size(), 5UL + 3UL + 3UL);
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EXPECT_EQ(grad_test_op->Input("In1"), "in1");
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EXPECT_EQ(grad_test_op->Inputs("In2_mult"),
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std::vector<std::string>({f::kEmptyVarName, f::kEmptyVarName}));
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EXPECT_EQ(grad_test_op->Inputs("In3_mult"),
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std::vector<std::string>({"in3_1", "in3_2"}));
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EXPECT_EQ(grad_test_op->Inputs("Out1_mult"),
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std::vector<std::string>({"out1_1", "out1_2"}));
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EXPECT_EQ(grad_test_op->Input("Out2"), f::kEmptyVarName);
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EXPECT_EQ(grad_test_op->Inputs(f::GradVarName("Out1_mult")),
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std::vector<std::string>(
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{f::GradVarName("out1_1"), f::GradVarName("out1_2")}));
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EXPECT_EQ(grad_test_op->Input(f::GradVarName("Out2")),
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f::GradVarName("out2"));
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ASSERT_EQ(grad_test_op->outputs_.size(), 5UL);
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EXPECT_EQ(grad_test_op->Output(f::GradVarName("In1")), f::GradVarName("in1"));
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EXPECT_EQ(grad_test_op->Outputs(f::GradVarName("In2_mult")),
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std::vector<std::string>(
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{f::GradVarName("in2_1"), f::GradVarName("in2_2")}));
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EXPECT_EQ(grad_test_op->Outputs(f::GradVarName("In3_mult")),
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std::vector<std::string>(
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{f::GradVarName("in3_1"), f::GradVarName("in3_2")}));
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}
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