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109 lines
3.4 KiB
109 lines
3.4 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/framework/operator.h"
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#include "gtest/gtest.h"
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#include "paddle/framework/op_registry.h"
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namespace paddle {
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namespace framework {
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class OperatorTest : public OperatorBase {
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public:
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void Init() override { x = 1; }
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void InferShape(const std::shared_ptr<Scope>& scope) const override {}
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void Run(const std::shared_ptr<Scope>& scope,
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const platform::DeviceContext& dev_ctx) const override {
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float scale = GetAttr<float>("scale");
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ASSERT_NEAR(scale, 3.14, 1e-5);
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ASSERT_EQ(scope->GetVariable(inputs_[0]), nullptr);
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ASSERT_EQ(x, 1);
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ASSERT_NE(scope->GetVariable(outputs_[0]), nullptr);
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}
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public:
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float x = 0;
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};
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class OperatorTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
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public:
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OperatorTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("input", "input of test op");
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AddOutput("output", "output of test op");
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AddAttr<float>("scale", "scale of cosine op")
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.SetDefault(1.0)
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.LargerThan(0.0);
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AddType("test_operator");
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AddComment("This is test op");
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}
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};
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class OpKernelTestProtoAndCheckerMaker : public OpProtoAndCheckerMaker {
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public:
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OpKernelTestProtoAndCheckerMaker(OpProto* proto, OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("input", "input of test op");
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AddOutput("output", "output of test op");
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AddAttr<float>("scale", "scale of cosine op")
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.SetDefault(1.0)
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.LargerThan(0.0);
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AddComment("This is test op");
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}
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};
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class OpWithKernelTest : public OperatorWithKernel {
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protected:
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void InferShape(const std::vector<const Tensor*>& inputs,
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const std::vector<Tensor*>& outputs) const override {}
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};
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class CPUKernelTest : public OpKernel {
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public:
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void Compute(const KernelContext& context) const {
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float scale = context.op_.GetAttr<float>("scale");
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ASSERT_NEAR(scale, 3.14, 1e-5);
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std::cout << "this is cpu kernel" << std::endl;
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std::cout << context.op_.DebugString() << std::endl;
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}
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};
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} // namespace framework
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} // namespace paddle
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REGISTER_OP(op_with_kernel, paddle::framework::OpWithKernelTest,
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paddle::framework::OpKernelTestProtoAndCheckerMaker);
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REGISTER_OP_CPU_KERNEL(op_with_kernel, paddle::framework::CPUKernelTest);
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TEST(OpKernel, all) {
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using namespace paddle::framework;
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OpDesc op_desc;
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op_desc.set_type("op_with_kernel");
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*op_desc.mutable_inputs()->Add() = "IN1";
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*op_desc.mutable_outputs()->Add() = "OUT1";
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auto attr = op_desc.mutable_attrs()->Add();
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attr->set_name("scale");
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attr->set_type(paddle::framework::AttrType::FLOAT);
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attr->set_f(3.14);
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paddle::platform::CPUDeviceContext cpu_device_context;
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auto scope = std::make_shared<Scope>();
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OperatorBase* op = paddle::framework::OpRegistry::CreateOp(op_desc);
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op->Run(scope, cpu_device_context);
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delete op;
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}
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