diff options
Diffstat (limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h')
| -rw-r--r-- | unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h index 25131600d..1ec5819a7 100644 --- a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h +++ b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h @@ -307,6 +307,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr enum { IsAligned = TensorEvaluator<InputArgType, Device>::IsAligned & TensorEvaluator<KernelArgType, Device>::IsAligned, PacketAccess = TensorEvaluator<InputArgType, Device>::PacketAccess & TensorEvaluator<KernelArgType, Device>::PacketAccess, + BlockAccess = false, Layout = TensorEvaluator<InputArgType, Device>::Layout, CoordAccess = false, // to be implemented RawAccess = false @@ -577,11 +578,11 @@ __global__ void EigenConvolutionKernel1D( const float* __restrict kernel, const int numPlanes, const int numX, const int maxX, const int kernelSize, float* buffer) { #if defined(EIGEN_HIPCC) - HIP_DYNAMIC_SHARED(float, s) + HIP_DYNAMIC_SHARED(float, s) #else extern __shared__ float s[]; #endif - + const int first_x = blockIdx.x * maxX; const int last_x = (first_x + maxX < numX ? first_x + maxX : numX) - 1; const int num_x_input = last_x - first_x + GetKernelSize<StaticKernelSize>()(kernelSize); @@ -630,7 +631,7 @@ __global__ void EigenConvolutionKernel2D( const int maxX, const int numY, const int maxY, const int kernelSizeX, const int kernelSizeY, float* buffer) { #if defined(EIGEN_HIPCC) - HIP_DYNAMIC_SHARED(float, s) + HIP_DYNAMIC_SHARED(float, s) #else extern __shared__ float s[]; #endif @@ -702,7 +703,7 @@ __global__ void EigenConvolutionKernel3D( const size_t maxZ, const size_t kernelSizeX, const size_t kernelSizeY, const size_t kernelSizeZ, float* buffer) { #if defined(EIGEN_HIPCC) - HIP_DYNAMIC_SHARED(float, s) + HIP_DYNAMIC_SHARED(float, s) #else extern __shared__ float s[]; #endif @@ -778,6 +779,7 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr enum { IsAligned = TensorEvaluator<InputArgType, GpuDevice>::IsAligned & TensorEvaluator<KernelArgType, GpuDevice>::IsAligned, PacketAccess = false, + BlockAccess = false, Layout = TensorEvaluator<InputArgType, GpuDevice>::Layout, CoordAccess = false, // to be implemented RawAccess = false |