diff options
author | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2015-12-22 15:06:17 -0800 |
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committer | Benoit Steiner <benoit.steiner.goog@gmail.com> | 2015-12-22 15:06:17 -0800 |
commit | b5d2078c4a9cdb81416586cca5658e38b059148d (patch) | |
tree | 2df7cb7bdd6278a5499ad6ba3567b6378f3b2196 /unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h | |
parent | 3504ae47ca7a2a712155c48e13bb4168cdebd5a6 (diff) |
Optimized outer reduction on GPUs.
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h')
-rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h | 39 |
1 files changed, 38 insertions, 1 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h index aaa877185..c30980a49 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h @@ -337,9 +337,23 @@ struct FullReducer<Self, Op, ThreadPoolDevice, true> { #endif +// Default outer reducer +template <typename Self, typename Op, typename Device> +struct OuterReducer { + static const bool HasOptimizedImplementation = false; + + static EIGEN_DEVICE_FUNC void run(const Self&, Op&, const Device&, typename Self::CoeffReturnType*, typename Self::Index, typename Self::Index) { + assert(false && "Not implemented"); + } +}; + + #if defined(EIGEN_USE_GPU) && defined(__CUDACC__) template <int B, int N, typename S, typename R, typename I> __global__ void FullReductionKernel(R, const S, I, typename S::CoeffReturnType*); + +template <int NPT, typename S, typename R, typename I> +__global__ void OuterReductionKernel(R, const S, I, I, typename S::CoeffReturnType*); #endif } // end namespace internal @@ -439,7 +453,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> } } } - + // Precompute input strides. if (NumInputDims > 0) { array<Index, NumInputDims> input_strides; @@ -498,6 +512,28 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> internal::FullReducer<Self, Op, Device>::run(*this, reducer, m_device, data); return need_assign; } + + // Attempt to use an optimized reduction. +#if defined(EIGEN_USE_GPU) && defined(__CUDACC__) + else if (RunningOnGPU && data && (m_device.majorDeviceVersion() >= 3)) { + bool preserving_inner_dims = true; + for (int i = 0; i < NumReducedDims; ++i) { + if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) { + preserving_inner_dims &= m_reducedDims[NumInputDims - 1 - i]; + } else { + preserving_inner_dims &= m_reducedDims[i]; + } + } + if (internal::OuterReducer<Self, Op, GpuDevice>::HasOptimizedImplementation && + preserving_inner_dims) { + const Index num_values_to_reduce = internal::array_prod(m_reducedDims); + const Index num_coeffs_to_preserve = internal::array_prod(m_dimensions); + Op reducer(m_reducer); + internal::OuterReducer<Self, Op, GpuDevice>::run(*this, reducer, m_device, data, num_values_to_reduce, num_coeffs_to_preserve); + return false; + } + } +#endif return true; } @@ -579,6 +615,7 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device> #endif #if defined(EIGEN_USE_GPU) && defined(__CUDACC__) template <int B, int N, typename S, typename R, typename I> friend void internal::FullReductionKernel(R, const S, I, typename S::CoeffReturnType*); + template <int NPT, typename S, typename R, typename I> friend void internal::OuterReductionKernel(R, const S, I, I, typename S::CoeffReturnType*); #endif // Returns the Index in the input tensor of the first value that needs to be |