wehub-resource-sync
60 lines
1.7 KiB
C++
60 lines
1.7 KiB
C++
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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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 <gtest/gtest.h>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/inference/tensorrt/convert/ut_helper.h"
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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void test_activation(std::string act_type) {
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framework::Scope scope;
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std::unordered_set<std::string> parameters;
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TRTConvertValidation validator(10, parameters, scope, 1000);
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validator.DeclInputVar("act-X", nvinfer1::Dims2(10, 6));
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validator.DeclOutputVar("act-Out", nvinfer1::Dims2(10, 6));
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// Prepare Op description
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framework::OpDesc desc;
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desc.SetType(act_type);
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desc.SetInput("X", {"act-X"});
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desc.SetOutput("Out", {"act-Out"});
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LOG(INFO) << "set OP";
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validator.SetOp(*desc.Proto());
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LOG(INFO) << "execute";
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validator.Execute(5);
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}
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TEST(ReluOpConverter, main) { test_activation("relu"); }
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TEST(SigmoidOpConverter, main) { test_activation("sigmoid"); }
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TEST(TanhOpConverter, main) { test_activation("tanh"); }
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TEST(Relu6OpConverter, main) { test_activation("relu6"); }
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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USE_OP_ITSELF(relu);
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USE_OP_ITSELF(sigmoid);
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USE_OP_ITSELF(tanh);
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USE_OP_ITSELF(relu6);
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