205 lines
7.6 KiB
C++
205 lines
7.6 KiB
C++
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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/shuffle_channel.h"
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#include "tim/vx/types.h"
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#include "src/tim/vx/test_utils.h"
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#include "gtest/gtest.h"
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TEST(shuffle_channel, shape_3_6_groupnum2_dim1_float32) {
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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 in_shape({3, 6}); //3 columns and 4 rows, w h c n
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tim::vx::ShapeType out_shape({3, 6});
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tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32,
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in_shape, tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32,
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out_shape, tim::vx::TensorAttribute::OUTPUT);
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auto in_tensor = graph->CreateTensor(in_spec);
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auto out_tensor = graph->CreateTensor(out_spec);
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std::vector<float> in_data = {
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1, 2, 3,
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4, 5, 6,
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7, 8, 9,
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10, 11, 12,
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13, 14, 15,
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16, 17, 18
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};
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std::vector<float> golden = {
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1, 2, 3,
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10, 11, 12,
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4, 5, 6,
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13, 14, 15,
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7, 8, 9,
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16, 17, 18
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};
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EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(float)));
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auto op = graph->CreateOperation<tim::vx::ops::shuffle_channel>(2, 1);
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(*op).BindInput(in_tensor).BindOutput(out_tensor);
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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std::vector<float> output(golden.size());
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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(shuffle_channel, shape_4_2_2_groupnum2_dim0_float32) {
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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 in_shape({4, 2, 2});
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tim::vx::ShapeType out_shape({4, 2, 2});
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tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32,
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in_shape, tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32,
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out_shape, tim::vx::TensorAttribute::OUTPUT);
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auto in_tensor = graph->CreateTensor(in_spec);
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auto out_tensor = graph->CreateTensor(out_spec);
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std::vector<float> in_data = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
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};
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std::vector<float> golden = {
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1, 3, 2, 4, 5, 7, 6, 8, 9, 11, 10, 12, 13, 15, 14, 16
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};
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EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(float)));
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auto op = graph->CreateOperation<tim::vx::ops::shuffle_channel>(2, 0);
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(*op).BindInput(in_tensor).BindOutput(out_tensor);
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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std::vector<float> output(golden.size());
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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(shuffle_channel, shape_1_4_2_2_groupnum2_dim1_float32) {
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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 in_shape({1, 4, 2, 2});
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tim::vx::ShapeType out_shape({1, 4, 2, 2});
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tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32,
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in_shape, tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32,
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out_shape, tim::vx::TensorAttribute::OUTPUT);
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auto in_tensor = graph->CreateTensor(in_spec);
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auto out_tensor = graph->CreateTensor(out_spec);
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std::vector<float> in_data = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
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};
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std::vector<float> golden = {
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1, 3, 2, 4, 5, 7, 6, 8, 9, 11, 10, 12, 13, 15, 14, 16
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};
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EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(float)));
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auto op = graph->CreateOperation<tim::vx::ops::shuffle_channel>(2, 1);
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(*op).BindInput(in_tensor).BindOutput(out_tensor);
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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std::vector<float> output(golden.size());
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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(shuffle_channel, shape_4_1_2_2_groupnum4_dim0_float32) {
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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 in_shape({4, 1, 2, 2});
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tim::vx::ShapeType out_shape({4, 1, 2, 2});
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tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32,
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in_shape, tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32,
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out_shape, tim::vx::TensorAttribute::OUTPUT);
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auto in_tensor = graph->CreateTensor(in_spec);
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auto out_tensor = graph->CreateTensor(out_spec);
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std::vector<float> in_data = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
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};
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std::vector<float> golden = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
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};
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EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(float)));
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auto op = graph->CreateOperation<tim::vx::ops::shuffle_channel>(4, 0);
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(*op).BindInput(in_tensor).BindOutput(out_tensor);
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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std::vector<float> output(golden.size());
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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(shuffle_channel, shape_4_1_2_2_groupnum1_dim3_float32) {
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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 in_shape({4, 1, 2, 2});
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tim::vx::ShapeType out_shape({4, 1, 2, 2});
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tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32,
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in_shape, tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec out_spec(tim::vx::DataType::FLOAT32,
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out_shape, tim::vx::TensorAttribute::OUTPUT);
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auto in_tensor = graph->CreateTensor(in_spec);
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auto out_tensor = graph->CreateTensor(out_spec);
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std::vector<float> in_data = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
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};
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std::vector<float> golden = {
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1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
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};
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EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(), in_data.size() * sizeof(float)));
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auto op = graph->CreateOperation<tim::vx::ops::shuffle_channel>(1, 3);
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(*op).BindInput(in_tensor).BindOutput(out_tensor);
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EXPECT_TRUE(graph->Compile());
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EXPECT_TRUE(graph->Run());
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std::vector<float> output(golden.size());
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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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