wehub-resource-sync
51 lines
1.6 KiB
C++
51 lines
1.6 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/inference/tensorrt/convert/op_converter.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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TEST(concat_op, test) {
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std::unordered_set<std::string> parameters({""});
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framework::Scope scope;
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TRTConvertValidation validator(10, parameters, scope, 1000);
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validator.DeclInputVar("concat_x1", nvinfer1::Dims3(10, 3, 1));
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validator.DeclInputVar("concat_x2", nvinfer1::Dims3(3, 3, 1));
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validator.DeclInputVar("concat_x3", nvinfer1::Dims3(7, 3, 1));
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validator.DeclOutputVar("concat_out", nvinfer1::Dims3(20, 3, 1));
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// Prepare Op description
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framework::OpDesc desc;
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desc.SetType("concat");
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desc.SetInput("X", {"concat_x1", "concat_x2", "concat_x3"});
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desc.SetOutput("Out", {"concat_out"});
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int axis = 1;
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desc.SetAttr("axis", axis);
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validator.SetOp(*desc.Proto());
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validator.Execute(5);
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}
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} // namespace tensorrt
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} // namespace inference
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} // namespace paddle
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USE_OP(concat);
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