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https://gitlab.com/libeigen/eigen.git
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Avoided language features that are only available in cxx11 mode.
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@ -36,7 +36,7 @@ template <typename Expression, typename Device, bool Vectorizable,
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bool Tileable>
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class TensorExecutor {
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public:
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using StorageIndex = typename Expression::Index;
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typedef typename Expression::Index StorageIndex;
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EIGEN_DEVICE_FUNC
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static EIGEN_STRONG_INLINE void run(const Expression& expr,
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@ -60,7 +60,7 @@ template <typename Expression>
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class TensorExecutor<Expression, DefaultDevice, /*Vectorizable*/ true,
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/*Tileable*/ false> {
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public:
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using StorageIndex = typename Expression::Index;
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typedef typename Expression::Index StorageIndex;
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EIGEN_DEVICE_FUNC
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static EIGEN_STRONG_INLINE void run(const Expression& expr,
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@ -102,21 +102,19 @@ template <typename Expression, bool Vectorizable>
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class TensorExecutor<Expression, DefaultDevice, Vectorizable,
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/*Tileable*/ true> {
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public:
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using Scalar = typename traits<Expression>::Scalar;
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using ScalarNoConst = typename remove_const<Scalar>::type;
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typedef typename traits<Expression>::Scalar Scalar;
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typedef typename remove_const<Scalar>::type ScalarNoConst;
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using Evaluator = TensorEvaluator<Expression, DefaultDevice>;
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using StorageIndex = typename traits<Expression>::Index;
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typedef TensorEvaluator<Expression, DefaultDevice> Evaluator;
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typedef typename traits<Expression>::Index StorageIndex;
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static const int NumDims = traits<Expression>::NumDimensions;
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EIGEN_DEVICE_FUNC
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static EIGEN_STRONG_INLINE void run(const Expression& expr,
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const DefaultDevice& device = DefaultDevice()) {
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using TensorBlock =
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TensorBlock<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout>;
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using TensorBlockMapper = TensorBlockMapper<ScalarNoConst, StorageIndex,
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NumDims, Evaluator::Layout>;
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typedef TensorBlock<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout> TensorBlock;
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typedef TensorBlockMapper<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout> TensorBlockMapper;
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Evaluator evaluator(expr, device);
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Index total_size = array_prod(evaluator.dimensions());
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@ -221,7 +219,7 @@ struct EvalRange<Evaluator, StorageIndex, /*Vectorizable*/ true> {
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template <typename Expression, bool Vectorizable, bool Tileable>
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class TensorExecutor<Expression, ThreadPoolDevice, Vectorizable, Tileable> {
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public:
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using StorageIndex = typename Expression::Index;
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typedef typename Expression::Index StorageIndex;
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static EIGEN_STRONG_INLINE void run(const Expression& expr,
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const ThreadPoolDevice& device) {
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@ -249,20 +247,18 @@ class TensorExecutor<Expression, ThreadPoolDevice, Vectorizable, Tileable> {
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template <typename Expression, bool Vectorizable>
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class TensorExecutor<Expression, ThreadPoolDevice, Vectorizable, /*Tileable*/ true> {
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public:
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using Scalar = typename traits<Expression>::Scalar;
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using ScalarNoConst = typename remove_const<Scalar>::type;
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typedef typename traits<Expression>::Scalar Scalar;
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typedef typename remove_const<Scalar>::type ScalarNoConst;
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using Evaluator = TensorEvaluator<Expression, ThreadPoolDevice>;
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using StorageIndex = typename traits<Expression>::Index;
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typedef TensorEvaluator<Expression, ThreadPoolDevice> Evaluator;
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typedef typename traits<Expression>::Index StorageIndex;
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static const int NumDims = traits<Expression>::NumDimensions;
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static EIGEN_STRONG_INLINE void run(const Expression& expr,
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const ThreadPoolDevice& device) {
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using TensorBlock =
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TensorBlock<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout>;
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using TensorBlockMapper =
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TensorBlockMapper<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout>;
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typedef TensorBlock<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout> TensorBlock;
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typedef TensorBlockMapper<ScalarNoConst, StorageIndex, NumDims, Evaluator::Layout> TensorBlockMapper;
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Evaluator evaluator(expr, device);
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StorageIndex total_size = array_prod(evaluator.dimensions());
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