| // Ceres Solver - A fast non-linear least squares minimizer |
| // Copyright 2023 Google Inc. All rights reserved. |
| // http://ceres-solver.org/ |
| // |
| // Redistribution and use in source and binary forms, with or without |
| // modification, are permitted provided that the following conditions are met: |
| // |
| // * Redistributions of source code must retain the above copyright notice, |
| // this list of conditions and the following disclaimer. |
| // * Redistributions in binary form must reproduce the above copyright notice, |
| // this list of conditions and the following disclaimer in the documentation |
| // and/or other materials provided with the distribution. |
| // * Neither the name of Google Inc. nor the names of its contributors may be |
| // used to endorse or promote products derived from this software without |
| // specific prior written permission. |
| // |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| // ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE |
| // LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| // CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| // SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| // INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| // CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| // ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| // POSSIBILITY OF SUCH DAMAGE. |
| // |
| // Author: joydeepb@cs.utexas.edu (Joydeep Biswas) |
| |
| #include "ceres/cuda_vector.h" |
| |
| #include <string> |
| |
| #include "ceres/internal/config.h" |
| #include "ceres/internal/eigen.h" |
| #include "gtest/gtest.h" |
| |
| namespace ceres { |
| namespace internal { |
| |
| #ifndef CERES_NO_CUDA |
| |
| TEST(CudaVector, Creation) { |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x(&context, 1000); |
| EXPECT_EQ(x.num_rows(), 1000); |
| EXPECT_NE(x.data(), nullptr); |
| } |
| |
| TEST(CudaVector, CopyVector) { |
| Vector x(3); |
| x << 1, 2, 3; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector y(&context, 10); |
| y.CopyFromCpu(x); |
| EXPECT_EQ(y.num_rows(), 3); |
| |
| Vector z(3); |
| z << 0, 0, 0; |
| y.CopyTo(&z); |
| EXPECT_EQ(x, z); |
| } |
| |
| TEST(CudaVector, Move) { |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector y(&context, 10); |
| const auto y_data = y.data(); |
| const auto y_descr = y.descr(); |
| EXPECT_EQ(y.num_rows(), 10); |
| CudaVector z(std::move(y)); |
| EXPECT_EQ(y.data(), nullptr); |
| EXPECT_EQ(y.descr(), nullptr); |
| EXPECT_EQ(y.num_rows(), 0); |
| |
| EXPECT_EQ(z.data(), y_data); |
| EXPECT_EQ(z.descr(), y_descr); |
| } |
| |
| TEST(CudaVector, DeepCopy) { |
| Vector x(3); |
| x << 1, 2, 3; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 3); |
| x_gpu.CopyFromCpu(x); |
| |
| CudaVector y_gpu(&context, 3); |
| y_gpu.SetZero(); |
| EXPECT_EQ(y_gpu.Norm(), 0.0); |
| |
| y_gpu = x_gpu; |
| Vector y(3); |
| y << 0, 0, 0; |
| y_gpu.CopyTo(&y); |
| EXPECT_EQ(x, y); |
| } |
| |
| TEST(CudaVector, Dot) { |
| Vector x(3); |
| Vector y(3); |
| x << 1, 2, 3; |
| y << 100, 10, 1; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 10); |
| CudaVector y_gpu(&context, 10); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| EXPECT_EQ(x_gpu.Dot(y_gpu), 123.0); |
| EXPECT_EQ(Dot(x_gpu, y_gpu), 123.0); |
| } |
| |
| TEST(CudaVector, Norm) { |
| Vector x(3); |
| x << 1, 2, 3; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 10); |
| x_gpu.CopyFromCpu(x); |
| |
| EXPECT_NEAR(x_gpu.Norm(), |
| sqrt(1.0 + 4.0 + 9.0), |
| std::numeric_limits<double>::epsilon()); |
| |
| EXPECT_NEAR(Norm(x_gpu), |
| sqrt(1.0 + 4.0 + 9.0), |
| std::numeric_limits<double>::epsilon()); |
| } |
| |
| TEST(CudaVector, SetZero) { |
| Vector x(4); |
| x << 1, 1, 1, 1; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 10); |
| x_gpu.CopyFromCpu(x); |
| |
| EXPECT_NEAR(x_gpu.Norm(), 2.0, std::numeric_limits<double>::epsilon()); |
| |
| x_gpu.SetZero(); |
| EXPECT_NEAR(x_gpu.Norm(), 0.0, std::numeric_limits<double>::epsilon()); |
| |
| x_gpu.CopyFromCpu(x); |
| EXPECT_NEAR(x_gpu.Norm(), 2.0, std::numeric_limits<double>::epsilon()); |
| SetZero(x_gpu); |
| EXPECT_NEAR(x_gpu.Norm(), 0.0, std::numeric_limits<double>::epsilon()); |
| } |
| |
| TEST(CudaVector, Resize) { |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 10); |
| EXPECT_EQ(x_gpu.num_rows(), 10); |
| x_gpu.Resize(4); |
| EXPECT_EQ(x_gpu.num_rows(), 4); |
| } |
| |
| TEST(CudaVector, Axpy) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| x_gpu.Axpby(2.0, y_gpu, 1.0); |
| Vector result; |
| Vector expected(4); |
| expected << 201, 21, 3, 1; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyBEquals1) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| x_gpu.Axpby(2.0, y_gpu, 1.0); |
| Vector result; |
| Vector expected(4); |
| expected << 201, 21, 3, 1; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyMemberFunctionBNotEqual1) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| x_gpu.Axpby(2.0, y_gpu, 3.0); |
| Vector result; |
| Vector expected(4); |
| expected << 203, 23, 5, 3; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyMemberFunctionBEqual1) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| x_gpu.Axpby(2.0, y_gpu, 1.0); |
| Vector result; |
| Vector expected(4); |
| expected << 201, 21, 3, 1; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyMemberXAliasesY) { |
| Vector x(4); |
| x << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.SetZero(); |
| |
| x_gpu.Axpby(2.0, x_gpu, 1.0); |
| Vector result; |
| Vector expected(4); |
| expected << 300, 30, 3, 0; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyNonMemberMethodNoAliases) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| CudaVector z_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| z_gpu.Resize(4); |
| z_gpu.SetZero(); |
| |
| Axpby(2.0, x_gpu, 3.0, y_gpu, z_gpu); |
| Vector result; |
| Vector expected(4); |
| expected << 302, 32, 5, 2; |
| z_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyNonMemberMethodXAliasesY) { |
| Vector x(4); |
| x << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector z_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| z_gpu.SetZero(); |
| |
| Axpby(2.0, x_gpu, 3.0, x_gpu, z_gpu); |
| Vector result; |
| Vector expected(4); |
| expected << 500, 50, 5, 0; |
| z_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyNonMemberMethodXAliasesZ) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 10); |
| CudaVector y_gpu(&context, 10); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| Axpby(2.0, x_gpu, 3.0, y_gpu, x_gpu); |
| Vector result; |
| Vector expected(4); |
| expected << 302, 32, 5, 2; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyNonMemberMethodYAliasesZ) { |
| Vector x(4); |
| Vector y(4); |
| x << 1, 1, 1, 1; |
| y << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| |
| Axpby(2.0, x_gpu, 3.0, y_gpu, y_gpu); |
| Vector result; |
| Vector expected(4); |
| expected << 302, 32, 5, 2; |
| y_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, AxpbyNonMemberMethodXAliasesYAliasesZ) { |
| Vector x(4); |
| x << 100, 10, 1, 0; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 10); |
| x_gpu.CopyFromCpu(x); |
| |
| Axpby(2.0, x_gpu, 3.0, x_gpu, x_gpu); |
| Vector result; |
| Vector expected(4); |
| expected << 500, 50, 5, 0; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, DtDxpy) { |
| Vector x(4); |
| Vector y(4); |
| Vector D(4); |
| x << 1, 2, 3, 4; |
| y << 100, 10, 1, 0; |
| D << 4, 3, 2, 1; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| CudaVector y_gpu(&context, 4); |
| CudaVector D_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| y_gpu.CopyFromCpu(y); |
| D_gpu.CopyFromCpu(D); |
| |
| y_gpu.DtDxpy(D_gpu, x_gpu); |
| Vector result; |
| Vector expected(4); |
| expected << 116, 28, 13, 4; |
| y_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| TEST(CudaVector, Scale) { |
| Vector x(4); |
| x << 1, 2, 3, 4; |
| ContextImpl context; |
| std::string message; |
| ASSERT_TRUE(context.InitCuda(&message)) |
| << "InitCuda() failed because: " << message; |
| CudaVector x_gpu(&context, 4); |
| x_gpu.CopyFromCpu(x); |
| |
| x_gpu.Scale(-3.0); |
| |
| Vector result; |
| Vector expected(4); |
| expected << -3.0, -6.0, -9.0, -12.0; |
| x_gpu.CopyTo(&result); |
| EXPECT_EQ(result, expected); |
| } |
| |
| #endif // CERES_NO_CUDA |
| |
| } // namespace internal |
| } // namespace ceres |