wehub-resource-sync
117 lines
3.7 KiB
C++
117 lines
3.7 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/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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template <int BatchSize, int Axis>
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void TensorRTSplitTest(const std::vector<int> &in_shape,
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const std::vector<int> §ions) {
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std::unordered_set<std::string> parameters({""});
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framework::Scope scope;
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TRTConvertValidation validator(BatchSize + 1, parameters, scope, 10000);
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auto common::make_dim = [](const std::vector<int> &shape) {
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nvinfer1::Dims3 dim;
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dim.c() = shape[0];
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dim.h() = shape[1];
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dim.w() = shape[2];
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return dim;
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};
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validator.DeclInputVar("split_input", common::make_dim(in_shape));
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std::vector<std::string> output_vars;
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for (size_t i = 0; i < sections.size(); ++i) {
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auto out_shape = in_shape;
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out_shape[Axis - 1] = sections[i];
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std::string output_name = "split_out" + std::to_string(i);
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validator.DeclOutputVar(output_name, common::make_dim(out_shape));
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output_vars.push_back(output_name);
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}
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// Prepare Op description
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framework::OpDesc desc;
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desc.SetType("split");
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desc.SetInput("X", {"split_input"});
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desc.SetOutput("Out", output_vars);
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desc.SetAttr("axis", Axis);
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desc.SetAttr("num", 0);
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desc.SetAttr("sections", sections);
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validator.SetOp(*desc.Proto());
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validator.Execute(BatchSize);
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}
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// batch = 0, axis = 1, same shape
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TEST(split_op, test_same_shape_axis1_batch1) {
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TensorRTSplitTest<1, 1>({4, 2, 2}, {2, 2});
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}
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// batch = 0, axis = 1, different shape
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TEST(split_op, test_different_shape_axis1_batch1) {
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TensorRTSplitTest<1, 1>({3, 2, 2}, {2, 1});
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}
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// batch = 10, axis = 1, same shape
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TEST(split_op, test_same_shape_axis1_batch10) {
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TensorRTSplitTest<10, 1>({4, 2, 2}, {2, 2});
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}
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// batch = 10, axis = 1, different shape
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TEST(split_op, test_different_shape_axis1_batch10) {
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TensorRTSplitTest<10, 1>({3, 2, 2}, {2, 1});
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}
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// batch = 0, axis = 2, same shape
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TEST(split_op, test_same_shape_axis2_batch1) {
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TensorRTSplitTest<1, 2>({3, 4, 2}, {2, 2});
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}
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// batch = 0, axis = 2, different shape
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TEST(split_op, test_different_shape_axis2_batch1) {
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TensorRTSplitTest<1, 2>({3, 3, 2}, {2, 1});
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}
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// batch = 10, axis = 2, same shape
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TEST(split_op, test_same_shape_axis2_batch10) {
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TensorRTSplitTest<10, 2>({3, 4, 2}, {2, 2});
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}
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// batch = 10, axis = 2, different shape
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TEST(split_op, test_different_shape_axis2_batch10) {
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TensorRTSplitTest<10, 2>({3, 3, 2}, {2, 1});
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}
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// batch = 0, axis = 3, same shape
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TEST(split_op, test_same_shape_axis3_batch1) {
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TensorRTSplitTest<1, 3>({3, 2, 4}, {2, 2});
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}
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// batch = 0, axis = 3, different shape
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TEST(split_op, test_different_shape_axis3_batch1) {
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TensorRTSplitTest<1, 3>({3, 2, 3}, {2, 1});
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}
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// batch = 10, axis = 3, same shape
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TEST(split_op, test_same_shape_axis3_batch10) {
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TensorRTSplitTest<10, 3>({3, 2, 4}, {2, 2});
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}
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// batch = 10, axis = 3, different shape
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TEST(split_op, test_different_shape_axis3_batch10) {
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TensorRTSplitTest<10, 3>({3, 2, 3}, {2, 1});
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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(split);
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