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authorGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-04 17:25:00 -0800
committerGravatar Benoit Steiner <benoit.steiner.goog@gmail.com>2016-01-04 17:25:00 -0800
commitcfff40b1d48999d354be34c984c83f7d0f1ca5cb (patch)
treee437db9a947bd6c7ed766e1351124c957778d53f /unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
parent515dee0bafc69dd79cfbf9c2831e707d2214390f (diff)
Improved the performance of reductions on CUDA devices
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h')
-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h31
1 files changed, 31 insertions, 0 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
index c30980a49..2ecdccdfd 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
@@ -337,6 +337,16 @@ struct FullReducer<Self, Op, ThreadPoolDevice, true> {
#endif
+// Default inner reducer
+template <typename Self, typename Op, typename Device>
+struct InnerReducer {
+ 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");
+ }
+};
+
// Default outer reducer
template <typename Self, typename Op, typename Device>
struct OuterReducer {
@@ -353,6 +363,9 @@ 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 InnerReductionKernel(R, const S, I, 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
@@ -516,6 +529,23 @@ struct TensorEvaluator<const TensorReductionOp<Op, Dims, ArgType>, Device>
// Attempt to use an optimized reduction.
#if defined(EIGEN_USE_GPU) && defined(__CUDACC__)
else if (RunningOnGPU && data && (m_device.majorDeviceVersion() >= 3)) {
+ bool reducing_inner_dims = true;
+ for (int i = 0; i < NumReducedDims; ++i) {
+ if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
+ reducing_inner_dims &= m_reducedDims[i];
+ } else {
+ reducing_inner_dims &= m_reducedDims[NumInputDims - 1 - i];
+ }
+ }
+ if (internal::InnerReducer<Self, Op, GpuDevice>::HasOptimizedImplementation &&
+ (reducing_inner_dims || ReducingInnerMostDims)) {
+ 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::InnerReducer<Self, Op, GpuDevice>::run(*this, reducer, m_device, data, num_values_to_reduce, num_coeffs_to_preserve);
+ return false;
+ }
+
bool preserving_inner_dims = true;
for (int i = 0; i < NumReducedDims; ++i) {
if (static_cast<int>(Layout) == static_cast<int>(ColMajor)) {
@@ -615,6 +645,7 @@ 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::InnerReductionKernel(R, const S, I, 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