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Fixed compilation errors.

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This commit is contained in:
Benoit Steiner 2018-08-06 13:40:51 -07:00
parent 36e7e7dd8f
commit d011d05fd6
4 changed files with 18 additions and 18 deletions
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24
unsupported/Eigen/CXX11/src/Tensor/TensorBase.h
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@ -538,8 +538,8 @@ class TensorBase<Derived, ReadOnlyAccessors>
// Fourier transforms
template <int FFTDataType, int FFTDirection, typename FFT> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const TensorFFTOp<const FFT, const Derived, FFTDataType, FFTDirection>
fft(const FFT& fft) const {
return TensorFFTOp<const FFT, const Derived, FFTDataType, FFTDirection>(derived(), fft);
fft(const FFT& dims) const {
return TensorFFTOp<const FFT, const Derived, FFTDataType, FFTDirection>(derived(), dims);
}
// Scan.
@ -723,8 +723,8 @@ class TensorBase<Derived, ReadOnlyAccessors>
template <typename Broadcast> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const TensorBroadcastingOp<const Broadcast, const Derived>
broadcast(const Broadcast& broadcast) const {
return TensorBroadcastingOp<const Broadcast, const Derived>(derived(), broadcast);
broadcast(const Broadcast& bcast) const {
return TensorBroadcastingOp<const Broadcast, const Derived>(derived(), bcast);
}
template <typename Axis, typename OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
@ -832,8 +832,8 @@ class TensorBase<Derived, ReadOnlyAccessors>
}
template <typename Shuffle> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const TensorShufflingOp<const Shuffle, const Derived>
shuffle(const Shuffle& shuffle) const {
return TensorShufflingOp<const Shuffle, const Derived>(derived(), shuffle);
shuffle(const Shuffle& shfl) const {
return TensorShufflingOp<const Shuffle, const Derived>(derived(), shfl);
}
template <typename Strides> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const TensorStridingOp<const Strides, const Derived>
@ -1030,13 +1030,13 @@ class TensorBase : public TensorBase<Derived, ReadOnlyAccessors> {
template <typename Shuffle> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
const TensorShufflingOp<const Shuffle, const Derived>
shuffle(const Shuffle& shuffle) const {
return TensorShufflingOp<const Shuffle, const Derived>(derived(), shuffle);
shuffle(const Shuffle& shfl) const {
return TensorShufflingOp<const Shuffle, const Derived>(derived(), shfl);
}
template <typename Shuffle> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
TensorShufflingOp<const Shuffle, Derived>
shuffle(const Shuffle& shuffle) {
return TensorShufflingOp<const Shuffle, Derived>(derived(), shuffle);
shuffle(const Shuffle& shfl) {
return TensorShufflingOp<const Shuffle, Derived>(derived(), shfl);
}
template <typename Strides> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
@ -1052,8 +1052,8 @@ class TensorBase : public TensorBase<Derived, ReadOnlyAccessors> {
// Select the device on which to evaluate the expression.
template <typename DeviceType>
TensorDevice<Derived, DeviceType> device(const DeviceType& device) {
return TensorDevice<Derived, DeviceType>(device, derived());
TensorDevice<Derived, DeviceType> device(const DeviceType& dev) {
return TensorDevice<Derived, DeviceType>(dev, derived());
}
protected:

4
unsupported/Eigen/CXX11/src/Tensor/TensorConvolution.h
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@ -527,8 +527,8 @@ struct TensorEvaluator<const TensorConvolutionOp<Indices, InputArgType, KernelAr
Scalar* local = (Scalar*)m_device.allocate(kernel_sz);
typedef TensorEvalToOp<const KernelArgType> EvalTo;
EvalTo evalToTmp(local, m_kernelArg);
const bool PacketAccess = internal::IsVectorizable<Device, KernelArgType>::value;
internal::TensorExecutor<const EvalTo, Device, PacketAccess>::run(evalToTmp, m_device);
const bool Vectorize = internal::IsVectorizable<Device, KernelArgType>::value;
internal::TensorExecutor<const EvalTo, Device, Vectorize>::run(evalToTmp, m_device);
m_kernel = local;
m_local_kernel = true;

4
unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h
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@ -126,7 +126,7 @@ struct TensorEvaluator
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void getResourceRequirements(
std::vector<internal::TensorOpResourceRequirements>* resources) const {}
std::vector<internal::TensorOpResourceRequirements>*) const {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void block(TensorBlock* block) const {
assert(m_data != NULL);
@ -255,7 +255,7 @@ struct TensorEvaluator<const Derived, Device>
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void getResourceRequirements(
std::vector<internal::TensorOpResourceRequirements>* resources) const {}
std::vector<internal::TensorOpResourceRequirements>*) const {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void block(TensorBlock* block) const {
assert(m_data != NULL);

4
unsupported/Eigen/CXX11/src/Tensor/TensorForcedEval.h
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@ -124,8 +124,8 @@ struct TensorEvaluator<const TensorForcedEvalOp<ArgType>, Device>
}
typedef TensorEvalToOp< const typename internal::remove_const<ArgType>::type > EvalTo;
EvalTo evalToTmp(m_buffer, m_op);
const bool PacketAccess = internal::IsVectorizable<Device, const ArgType>::value;
internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, PacketAccess>::run(evalToTmp, m_device);
const bool Vectorize = internal::IsVectorizable<Device, const ArgType>::value;
internal::TensorExecutor<const EvalTo, typename internal::remove_const<Device>::type, Vectorize>::run(evalToTmp, m_device);
return true;
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void cleanup() {