// <copyright file="CudaLinearAlgebraProvider.cs" company="Math.NET">
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// Math.NET Numerics, part of the Math.NET Project
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// http://numerics.mathdotnet.com
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// http://github.com/mathnet/mathnet-numerics
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//
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// Copyright (c) 2009-2018 Math.NET
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//
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// Permission is hereby granted, free of charge, to any person
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// obtaining a copy of this software and associated documentation
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// files (the "Software"), to deal in the Software without
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// restriction, including without limitation the rights to use,
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// copy, modify, merge, publish, distribute, sublicense, and/or sell
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// 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
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// conditions:
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//
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// The above copyright notice and this permission notice shall be
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// included in 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,
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// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
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// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
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// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
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// 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
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// OTHER DEALINGS IN THE SOFTWARE.
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// </copyright>
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#if NATIVE
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using System;
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using IStation.Numerics.Providers.Common.Cuda;
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namespace IStation.Numerics.Providers.LinearAlgebra.Cuda
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{
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/// <summary>
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/// NVidia's CUDA Toolkit linear algebra provider.
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/// </summary>
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internal partial class CudaLinearAlgebraProvider : Managed.ManagedLinearAlgebraProvider, IDisposable
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{
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const int MinimumCompatibleRevision = 1;
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readonly string _hintPath;
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IntPtr _blasHandle;
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IntPtr _solverHandle;
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/// <param name="hintPath">Hint path where to look for the native binaries</param>
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internal CudaLinearAlgebraProvider(string hintPath)
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{
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_hintPath = hintPath;
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}
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/// <summary>
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/// Try to find out whether the provider is available, at least in principle.
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/// Verification may still fail if available, but it will certainly fail if unavailable.
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/// </summary>
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public override bool IsAvailable()
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{
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return CudaProvider.IsAvailable(hintPath: _hintPath);
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}
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/// <summary>
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/// Initialize and verify that the provided is indeed available.
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/// If calling this method fails, consider to fall back to alternatives like the managed provider.
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/// </summary>
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public override void InitializeVerify()
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{
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int revision = CudaProvider.Load(hintPath: _hintPath);
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if (revision < MinimumCompatibleRevision)
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{
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throw new NotSupportedException(FormattableString.Invariant($"Cuda Native Provider revision r{revision} is too old. Consider upgrading to a newer version. Revision r{MinimumCompatibleRevision} and newer are supported."));
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}
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int linearAlgebra = SafeNativeMethods.query_capability((int)ProviderCapability.LinearAlgebraMajor);
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// we only support exactly one major version, since major version changes imply a breaking change.
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if (linearAlgebra != 1)
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{
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throw new NotSupportedException(FormattableString.Invariant($"Cuda Native Provider not compatible. Expecting linear algebra v1 but provider implements v{linearAlgebra}."));
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}
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BLAS(SafeNativeMethods.createBLASHandle(ref _blasHandle));
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Solver(SafeNativeMethods.createSolverHandle(ref _solverHandle));
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}
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/// <summary>
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/// Frees memory buffers, caches and handles allocated in or to the provider.
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/// Does not unload the provider itself, it is still usable afterwards.
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/// </summary>
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public override void FreeResources()
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{
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CudaProvider.FreeResources();
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}
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private void BLAS(int status)
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{
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switch (status)
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{
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case 0: // CUBLAS_STATUS_SUCCESS
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return;
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case 1: // CUBLAS_STATUS_NOT_INITIALIZED
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throw new Exception("The CUDA Runtime initialization failed");
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case 2: // CUSOLVER_STATUS_ALLOC_FAILED
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throw new OutOfMemoryException("The resources could not be allocated");
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case 7: // CUBLAS_STATUS_INVALID_VALUE
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throw new ArgumentException("Invalid value");
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case 8: // CUBLAS_STATUS_ARCH_MISMATCH
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throw new NotSupportedException("The device does not support this operation.");
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case 11: // CUBLAS_STATUS_MAPPING_ERROR
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throw new Exception("Mapping error.");
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case 13: // CUBLAS_STATUS_EXECUTION_FAILED
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throw new Exception("Execution failed");
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case 14: // CUBLAS_STATUS_INTERNAL_ERROR
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throw new Exception("Internal error");
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case 15: // CUBLAS_STATUS_NOT_SUPPORTED
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throw new NotSupportedException();
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case 16: // CUBLAS_STATUS_LICENSE_ERROR
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throw new Exception("License error");
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default:
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throw new Exception("Unrecognized cuBLAS status code: " + status);
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}
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}
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private void Solver(int status)
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{
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switch (status)
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{
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case 0: // CUSOLVER_STATUS_SUCCESS
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return;
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case 1: // CUSOLVER_STATUS_NOT_INITIALIZED
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throw new Exception("The library was not initialized");
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case 2: // CUSOLVER_STATUS_ALLOC_FAILED
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throw new OutOfMemoryException("The resources could not be allocated");
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case 3: // CUSOLVER_STATUS_INVALID_VALUE
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throw new ArgumentException("Invalid value");
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case 4: // CUSOLVER_STATUS_ARCH_MISMATCH
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throw new NotSupportedException("The device does not support compute capability 2.0 and above");
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case 5: // CUSOLVER_STATUS_MAPPING_ERROR
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throw new Exception("Mapping error");
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case 6: // CUSOLVER_STATUS_EXECUTION_FAILED
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throw new NonConvergenceException("Execution failed");
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case 7: //CUSOLVER_STATUS_INTERNAL_ERROR
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throw new Exception("Internal error");
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case 8: // CUSOLVER_STATUS_MATRIX_TYPE_NOT_SUPPORTED
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throw new ArgumentException("Matrix type not supported");
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case 9: // CUSOLVER_STATUS_NOT_SUPPORTED
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throw new NotSupportedException();
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case 10: // CUSOLVER_STATUS_ZERO_PIVOT
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throw new Exception("Zero pivot");
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case 11: //CUSOLVER_STATUS_INVALID_LICENSE
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throw new Exception("Invalid license");
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default:
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throw new Exception("Unrecognized cuSolverDn status code: " + status);
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}
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}
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public override string ToString()
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{
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return CudaProvider.Describe();
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}
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public void Dispose()
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{
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BLAS(SafeNativeMethods.destroyBLASHandle(_blasHandle));
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Solver(SafeNativeMethods.destroySolverHandle(_solverHandle));
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FreeResources();
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}
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}
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}
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#endif
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