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add reshape unit test (#416)

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Antkillerfarm 2022-06-23 14:07:38 +08:00 committed by GitHub
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/****************************************************************************
*
* Copyright (c) 2021 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/reshape.h"
#include "tim/vx/ops/relational_operations.h"
#include "gtest/gtest.h"
TEST(Reshape, 3_reshape) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType a_shape({1, 2});
tim::vx::ShapeType out_shape({1, 2});
tim::vx::TensorSpec a_spec(tim::vx::DataType::FLOAT32, a_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec a_spec0(tim::vx::DataType::FLOAT32, a_shape,
tim::vx::TensorAttribute::TRANSIENT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto a_tensor = graph->CreateTensor(a_spec);
auto a_tensor0 = graph->CreateTensor(a_spec0);
auto a_tensor1 = graph->CreateTensor(a_spec0);
auto out_tensor = graph->CreateTensor(out_spec);
auto op = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
(*op).BindInputs({a_tensor}).BindOutputs({a_tensor0});
auto op1 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
(*op1).BindInputs({a_tensor0}).BindOutputs({a_tensor1});
auto op2 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
(*op2).BindInputs({a_tensor1}).BindOutputs({out_tensor});
uint32_t data_size = 2;
std::vector<float> input_a_data{3, -1};
a_tensor->CopyDataToTensor(
input_a_data.data(), input_a_data.size() * 4);
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<float> golden{3, -1};
std::vector<float> output(data_size, 0);
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}
TEST(Reshape, reshape_for_equal_i32) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType a_shape({16});
tim::vx::ShapeType out_shape({16});
tim::vx::TensorSpec a_spec(tim::vx::DataType::INT32, a_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec a_spec0(tim::vx::DataType::INT32, a_shape,
tim::vx::TensorAttribute::TRANSIENT);
tim::vx::TensorSpec out_spec0(tim::vx::DataType::BOOL8, out_shape,
tim::vx::TensorAttribute::TRANSIENT);
tim::vx::TensorSpec out_spec(tim::vx::DataType::BOOL8, out_shape,
tim::vx::TensorAttribute::OUTPUT);
auto a_tensor = graph->CreateTensor(a_spec);
auto b_tensor = graph->CreateTensor(a_spec);
auto a_tensor0 = graph->CreateTensor(a_spec0);
auto b_tensor0 = graph->CreateTensor(a_spec0);
auto out_tensor0 = graph->CreateTensor(out_spec0);
auto out_tensor = graph->CreateTensor(out_spec);
auto op = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
(*op).BindInputs({a_tensor}).BindOutputs({a_tensor0});
auto op1 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
(*op1).BindInputs({b_tensor}).BindOutputs({b_tensor0});
auto op2 = graph->CreateOperation<tim::vx::ops::Equal>();
(*op2).BindInputs({a_tensor0, b_tensor0}).BindOutputs({out_tensor0});
auto op3 = graph->CreateOperation<tim::vx::ops::Reshape>(a_shape);
(*op3).BindInputs({out_tensor0}).BindOutputs({out_tensor});
uint32_t data_size = 16;
std::vector<int32_t> input_a_data{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,};
std::vector<int32_t> input_b_data{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,};
a_tensor->CopyDataToTensor(
input_a_data.data(), input_a_data.size() * 4);
b_tensor->CopyDataToTensor(
input_b_data.data(), input_b_data.size() * 4);
graph->PrintGraph();
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
//Not using vector<bool> because it uses a bitfield representation internally
//and it's cumbersome to copy tensor data to it.
std::vector<uint8_t> golden(data_size, 1);
std::vector<uint8_t> output(data_size, 0);
EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}