/**************************************************************************** * * Copyright (c) 2022 Vivante Corporation * * Permission is hereby granted, free of charge, to any person obtaining a * copy of this software and associated documentation files (the "Software"), * to deal in the Software without restriction, including without limitation * the rights to use, copy, modify, merge, publish, distribute, sublicense, * and/or sell copies of the Software, and to permit persons to whom the * Software is furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER * DEALINGS IN THE SOFTWARE. * *****************************************************************************/ #include "tim/vx/context.h" #include "tim/vx/graph.h" #include "tim/vx/ops/hashtable_lookup.h" #include "gtest/gtest.h" TEST(HashtableLookup, int32) { auto ctx = tim::vx::Context::Create(); auto graph = ctx->CreateGraph(); tim::vx::ShapeType in_shape({2}); tim::vx::ShapeType key_shape({4}); tim::vx::ShapeType value_shape({4}); tim::vx::ShapeType out_shape({2});; tim::vx::ShapeType hit_shape({2}); tim::vx::TensorSpec in_spec(tim::vx::DataType::INT32, in_shape, tim::vx::TensorAttribute::INPUT); tim::vx::TensorSpec key_spec(tim::vx::DataType::INT32, key_shape, tim::vx::TensorAttribute::INPUT); tim::vx::TensorSpec value_spec(tim::vx::DataType::INT32, value_shape, tim::vx::TensorAttribute::INPUT); tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT16, out_shape, tim::vx::TensorAttribute::OUTPUT); tim::vx::TensorSpec hit_spec(tim::vx::DataType::INT32, hit_shape, tim::vx::TensorAttribute::OUTPUT); auto in_tensor = graph->CreateTensor(in_spec); auto key_tensor = graph->CreateTensor(key_spec); auto value_tensor = graph->CreateTensor(value_spec); auto out_tensor = graph->CreateTensor(out_spec); auto hit_tensor = graph->CreateTensor(hit_spec); std::vector in_data = { 10, 66 }; std::vector key_data = { 10,20,30,40 }; std::vector value_data = { 7,8,9,10 }; std::vector out_golden = {7,0}; std::vector hit_golden = {1,0};//0 means not hit EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(int32_t))); EXPECT_TRUE(key_tensor->CopyDataToTensor(key_data.data(), key_data.size() * sizeof(int32_t))); EXPECT_TRUE(value_tensor->CopyDataToTensor(value_data.data(), value_data.size() * sizeof(int32_t))); EXPECT_TRUE(out_tensor->CopyDataToTensor(out_golden.data(), out_golden.size() * sizeof(float))); EXPECT_TRUE(hit_tensor->CopyDataToTensor(hit_golden.data(), hit_golden.size() * sizeof(int32_t))); auto op = graph->CreateOperation(); (*op).BindInputs({in_tensor, key_tensor, value_tensor}).BindOutputs({out_tensor, hit_tensor}); EXPECT_TRUE(graph->Compile()); EXPECT_TRUE(graph->Run()); std::vector output(out_golden.size()); std::vector hit(hit_golden.size()); EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data())); EXPECT_TRUE(hit_tensor->CopyDataFromTensor(hit.data())); EXPECT_EQ(out_golden, output); EXPECT_EQ(hit_golden, hit); }