add reshape unit test (#416)
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/****************************************************************************
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*
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* Copyright (c) 2021 Vivante Corporation
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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*****************************************************************************/
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#include "tim/vx/context.h"
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#include "tim/vx/graph.h"
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#include "tim/vx/ops/reshape.h"
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#include "tim/vx/ops/relational_operations.h"
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#include "gtest/gtest.h"
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TEST(Reshape, 3_reshape) {
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auto ctx = tim::vx::Context::Create();
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auto graph = ctx->CreateGraph();
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tim::vx::ShapeType a_shape({1, 2});
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tim::vx::ShapeType out_shape({1, 2});
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tim::vx::TensorSpec a_spec(tim::vx::DataType::FLOAT32, a_shape,
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tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec a_spec0(tim::vx::DataType::FLOAT32, a_shape,
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tim::vx::TensorAttribute::TRANSIENT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32, out_shape,
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tim::vx::TensorAttribute::OUTPUT);
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auto a_tensor = graph->CreateTensor(a_spec);
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auto a_tensor0 = graph->CreateTensor(a_spec0);
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auto a_tensor1 = graph->CreateTensor(a_spec0);
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auto out_tensor = graph->CreateTensor(out_spec);
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auto op = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
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(*op).BindInputs({a_tensor}).BindOutputs({a_tensor0});
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auto op1 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
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(*op1).BindInputs({a_tensor0}).BindOutputs({a_tensor1});
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auto op2 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
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(*op2).BindInputs({a_tensor1}).BindOutputs({out_tensor});
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uint32_t data_size = 2;
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std::vector<float> input_a_data{3, -1};
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a_tensor->CopyDataToTensor(
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input_a_data.data(), input_a_data.size() * 4);
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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std::vector<float> golden{3, -1};
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std::vector<float> output(data_size, 0);
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EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
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EXPECT_EQ(golden, output);
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}
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TEST(Reshape, reshape_for_equal_i32) {
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auto ctx = tim::vx::Context::Create();
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auto graph = ctx->CreateGraph();
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tim::vx::ShapeType a_shape({16});
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tim::vx::ShapeType out_shape({16});
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tim::vx::TensorSpec a_spec(tim::vx::DataType::INT32, a_shape,
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tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec a_spec0(tim::vx::DataType::INT32, a_shape,
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tim::vx::TensorAttribute::TRANSIENT);
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tim::vx::TensorSpec out_spec0(tim::vx::DataType::BOOL8, out_shape,
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tim::vx::TensorAttribute::TRANSIENT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::BOOL8, out_shape,
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tim::vx::TensorAttribute::OUTPUT);
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auto a_tensor = graph->CreateTensor(a_spec);
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auto b_tensor = graph->CreateTensor(a_spec);
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auto a_tensor0 = graph->CreateTensor(a_spec0);
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auto b_tensor0 = graph->CreateTensor(a_spec0);
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auto out_tensor0 = graph->CreateTensor(out_spec0);
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auto out_tensor = graph->CreateTensor(out_spec);
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auto op = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
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(*op).BindInputs({a_tensor}).BindOutputs({a_tensor0});
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auto op1 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
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(*op1).BindInputs({b_tensor}).BindOutputs({b_tensor0});
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auto op2 = graph->CreateOperation<tim::vx::ops::Equal>();
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(*op2).BindInputs({a_tensor0, b_tensor0}).BindOutputs({out_tensor0});
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auto op3 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
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(*op3).BindInputs({out_tensor0}).BindOutputs({out_tensor});
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uint32_t data_size = 16;
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std::vector<int32_t> input_a_data{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,};
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std::vector<int32_t> input_b_data{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,};
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a_tensor->CopyDataToTensor(
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input_a_data.data(), input_a_data.size() * 4);
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b_tensor->CopyDataToTensor(
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input_b_data.data(), input_b_data.size() * 4);
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graph->PrintGraph();
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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//Not using vector<bool> because it uses a bitfield representation internally
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//and it's cumbersome to copy tensor data to it.
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std::vector<uint8_t> golden(data_size, 1);
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std::vector<uint8_t> output(data_size, 0);
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EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
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EXPECT_EQ(golden, output);
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}
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