GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-02 18:20:38 +08:00
Code Issues Packages Projects Releases Wiki Activity

Cleaned up the TensorDevice code a little bit.

Browse Source
This commit is contained in:
Benoit Steiner 2015-03-25 12:37:38 -07:00
parent abdbe8562e
commit ccf290a65c
2 changed files with 10 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
unsupported/Eigen/CXX11/Tensor
View File

@ -80,8 +80,8 @@
#include "unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h"
#include "unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h"
#include "unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h"
#include "unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h"
#include "unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h"
#include "unsupported/Eigen/CXX11/src/Tensor/TensorStorage.h"
#include "unsupported/Eigen/CXX11/src/Tensor/Tensor.h"

25
unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h
View File

@ -32,8 +32,7 @@ template <typename ExpressionType, typename DeviceType> class TensorDevice {
EIGEN_STRONG_INLINE TensorDevice& operator=(const OtherDerived& other) {
typedef TensorAssignOp<ExpressionType, const OtherDerived> Assign;
Assign assign(m_expression, other);
static const bool Vectorize = TensorEvaluator<const Assign, DeviceType>::PacketAccess;
internal::TensorExecutor<const Assign, DeviceType, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
return *this;
}
@ -44,8 +43,7 @@ template <typename ExpressionType, typename DeviceType> class TensorDevice {
Sum sum(m_expression, other);
typedef TensorAssignOp<ExpressionType, const Sum> Assign;
Assign assign(m_expression, sum);
static const bool Vectorize = TensorEvaluator<const Assign, DeviceType>::PacketAccess;
internal::TensorExecutor<const Assign, DeviceType, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
return *this;
}
@ -56,8 +54,7 @@ template <typename ExpressionType, typename DeviceType> class TensorDevice {
Difference difference(m_expression, other);
typedef TensorAssignOp<ExpressionType, const Difference> Assign;
Assign assign(m_expression, difference);
static const bool Vectorize = TensorEvaluator<const Assign, DeviceType>::PacketAccess;
internal::TensorExecutor<const Assign, DeviceType, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
return *this;
}
@ -76,8 +73,7 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, ThreadPool
EIGEN_STRONG_INLINE TensorDevice& operator=(const OtherDerived& other) {
typedef TensorAssignOp<ExpressionType, const OtherDerived> Assign;
Assign assign(m_expression, other);
static const bool Vectorize = TensorEvaluator<const Assign, ThreadPoolDevice>::PacketAccess;
internal::TensorExecutor<const Assign, ThreadPoolDevice, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, ThreadPoolDevice>::run(assign, m_device);
return *this;
}
@ -88,8 +84,7 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, ThreadPool
Sum sum(m_expression, other);
typedef TensorAssignOp<ExpressionType, const Sum> Assign;
Assign assign(m_expression, sum);
static const bool Vectorize = TensorEvaluator<const Assign, ThreadPoolDevice>::PacketAccess;
internal::TensorExecutor<const Assign, ThreadPoolDevice, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, ThreadPoolDevice>::run(assign, m_device);
return *this;
}
@ -100,8 +95,7 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, ThreadPool
Difference difference(m_expression, other);
typedef TensorAssignOp<ExpressionType, const Difference> Assign;
Assign assign(m_expression, difference);
static const bool Vectorize = TensorEvaluator<const Assign, ThreadPoolDevice>::PacketAccess;
internal::TensorExecutor<const Assign, ThreadPoolDevice, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, ThreadPoolDevice>::run(assign, m_device);
return *this;
}
@ -122,7 +116,7 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, GpuDevice>
EIGEN_STRONG_INLINE TensorDevice& operator=(const OtherDerived& other) {
typedef TensorAssignOp<ExpressionType, const OtherDerived> Assign;
Assign assign(m_expression, other);
internal::TensorExecutor<const Assign, GpuDevice, false>::run(assign, m_device);
internal::TensorExecutor<const Assign, GpuDevice>::run(assign, m_device);
return *this;
}
@ -133,7 +127,7 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, GpuDevice>
Sum sum(m_expression, other);
typedef TensorAssignOp<ExpressionType, const Sum> Assign;
Assign assign(m_expression, sum);
internal::TensorExecutor<const Assign, GpuDevice, false>::run(assign, m_device);
internal::TensorExecutor<const Assign, GpuDevice>::run(assign, m_device);
return *this;
}
@ -144,8 +138,7 @@ template <typename ExpressionType> class TensorDevice<ExpressionType, GpuDevice>
Difference difference(m_expression, other);
typedef TensorAssignOp<ExpressionType, const Difference> Assign;
Assign assign(m_expression, difference);
static const bool Vectorize = TensorEvaluator<const Assign, GpuDevice>::PacketAccess;
internal::TensorExecutor<const Assign, GpuDevice, Vectorize>::run(assign, m_device);
internal::TensorExecutor<const Assign, GpuDevice>::run(assign, m_device);
return *this;
}