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91 lines
2.8 KiB
91 lines
2.8 KiB
/* 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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USE_OP(conv2d);
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USE_OP(conv2d_transpose);
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namespace paddle {
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namespace inference {
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namespace tensorrt {
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TEST(conv2d_op, test) {
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std::unordered_set<std::string> parameters({"conv2d-Y"});
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framework::Scope scope;
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TRTConvertValidation validator(5, parameters, scope, 1 << 15);
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validator.DeclInputVar("conv2d-X", nvinfer1::Dims3(2, 5, 5));
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validator.DeclParamVar("conv2d-Y", nvinfer1::Dims4(3, 2, 3, 3));
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validator.DeclOutputVar("conv2d-Out", nvinfer1::Dims3(3, 5, 5));
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// Prepare Op description
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framework::OpDesc desc;
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desc.SetType("conv2d");
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desc.SetInput("Input", {"conv2d-X"});
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desc.SetInput("Filter", {"conv2d-Y"});
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desc.SetOutput("Output", {"conv2d-Out"});
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const std::vector<int> strides({1, 1});
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const std::vector<int> paddings({1, 1});
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const std::vector<int> dilations({1, 1});
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const int groups = 1;
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desc.SetAttr("strides", strides);
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desc.SetAttr("paddings", paddings);
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desc.SetAttr("dilations", dilations);
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desc.SetAttr("groups", groups);
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validator.SetOp(*desc.Proto());
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validator.Execute(3);
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}
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TEST(conv2d_transpose_op, test) {
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std::unordered_set<std::string> parameters({"deconv2d-Y"});
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framework::Scope scope;
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TRTConvertValidation validator(5, parameters, scope, 1 << 15);
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validator.DeclInputVar("deconv2d-X", nvinfer1::Dims3(3, 5, 5));
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validator.DeclParamVar("deconv2d-Y", nvinfer1::Dims4(3, 2, 3, 3));
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validator.DeclOutputVar("deconv2d-Out", nvinfer1::Dims3(2, 5, 5));
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// Prepare Op description
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framework::OpDesc desc;
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desc.SetType("conv2d_transpose");
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desc.SetInput("Input", {"deconv2d-X"});
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desc.SetInput("Filter", {"deconv2d-Y"});
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desc.SetOutput("Output", {"deconv2d-Out"});
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const std::vector<int> strides({1, 1});
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const std::vector<int> paddings({1, 1});
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const std::vector<int> dilations({1, 1});
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const int groups = 1;
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desc.SetAttr("strides", strides);
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desc.SetAttr("paddings", paddings);
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desc.SetAttr("dilations", dilations);
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desc.SetAttr("groups", groups);
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validator.SetOp(*desc.Proto());
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validator.Execute(3);
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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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