From e892524efe7e8adbd43bf4c1c150f4f4ebf27d1d Mon Sep 17 00:00:00 2001
From: Benoit Steiner <benoit.steiner.goog@gmail.com>
Date: Wed, 15 Jul 2015 12:38:34 -0700
Subject: Added support for multi gpu configuration to the GpuDevice class

---
 unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

(limited to 'unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h')

diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
index 88db9d410..64b0315ee 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
@@ -835,10 +835,10 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
   void executeEval(Scalar* data) const {
     typedef typename TensorEvaluator<InputArgType, GpuDevice>::Dimensions InputDims;
 
-    const int maxSharedMem = sharedMemPerBlock();
-    const int maxThreadsPerBlock = maxCudaThreadsPerBlock();
-    const int maxBlocksPerProcessor = maxCudaThreadsPerMultiProcessor() / maxThreadsPerBlock;
-    const int numMultiProcessors = getNumCudaMultiProcessors();
+    const int maxSharedMem = m_device.sharedMemPerBlock();
+    const int maxThreadsPerBlock = m_device.maxCudaThreadsPerBlock();
+    const int maxBlocksPerProcessor = m_device.maxCudaThreadsPerMultiProcessor() / maxThreadsPerBlock;
+    const int numMultiProcessors = m_device.getNumCudaMultiProcessors();
     const int warpSize = 32;
 
     switch (NumKernelDims) {
-- 
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