diff options
Diffstat (limited to 'tensorflow/compiler/xla/reference_util.h')
| -rw-r--r-- | tensorflow/compiler/xla/reference_util.h | 50 |
1 files changed, 22 insertions, 28 deletions
diff --git a/tensorflow/compiler/xla/reference_util.h b/tensorflow/compiler/xla/reference_util.h index 9ce098029d..8654fbb9b5 100644 --- a/tensorflow/compiler/xla/reference_util.h +++ b/tensorflow/compiler/xla/reference_util.h @@ -177,47 +177,41 @@ class ReferenceUtil { // Windowed reductions with Add as the function to apply. static std::unique_ptr<std::vector<float>> ReduceWindow1DAdd( - const absl::Span<const float>& operand, float init, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, Padding padding); + absl::Span<const float> operand, float init, + absl::Span<const int64> window, absl::Span<const int64> stride, + Padding padding); static std::unique_ptr<Array2D<float>> ReduceWindow2DAdd( - const Array2D<float>& operand, float init, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, Padding padding); + const Array2D<float>& operand, float init, absl::Span<const int64> window, + absl::Span<const int64> stride, Padding padding); static std::unique_ptr<Array3D<float>> ReduceWindow3DAdd( - const Array3D<float>& operand, float init, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, Padding padding); + const Array3D<float>& operand, float init, absl::Span<const int64> window, + absl::Span<const int64> stride, Padding padding); static std::unique_ptr<Array4D<float>> ReduceWindow4DAdd( - const Array4D<float>& operand, float init, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, Padding padding); + const Array4D<float>& operand, float init, absl::Span<const int64> window, + absl::Span<const int64> stride, Padding padding); // Windowed reductions with a generic reduce function. static std::unique_ptr<std::vector<float>> ReduceWindow1DGeneric( - const absl::Span<const float>& operand, float init, + absl::Span<const float> operand, float init, const std::function<float(float, float)>& reduce_func, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, - const absl::Span<const std::pair<int64, int64>>& padding); + absl::Span<const int64> window, absl::Span<const int64> stride, + absl::Span<const std::pair<int64, int64>> padding); static std::unique_ptr<Array2D<float>> ReduceWindow2DGeneric( const Array2D<float>& operand, float init, const std::function<float(float, float)>& reduce_func, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, - const absl::Span<const std::pair<int64, int64>>& padding); + absl::Span<const int64> window, absl::Span<const int64> stride, + absl::Span<const std::pair<int64, int64>> padding); static std::unique_ptr<Array4D<float>> ReduceWindow4DGeneric( const Array4D<float>& operand, float init, const std::function<float(float, float)>& reduce_func, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, Padding padding); + absl::Span<const int64> window, absl::Span<const int64> stride, + Padding padding); // With arbitrary padding. static std::unique_ptr<Array4D<float>> ReduceWindow4DGeneric( const Array4D<float>& operand, float init, const std::function<float(float, float)>& reduce_func, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, - const absl::Span<const std::pair<int64, int64>>& padding); + absl::Span<const int64> window, absl::Span<const int64> stride, + absl::Span<const std::pair<int64, int64>> padding); // Batch normalize data. static std::unique_ptr<Array4D<float>> BatchNorm4D( @@ -230,8 +224,8 @@ class ReferenceUtil { // TODO(b/74533103) Switch tests to evaluator and remove this implementation. static std::unique_ptr<Array4D<float>> SelectAndScatter4DGePlus( const Array4D<float>& operand, const Array4D<float>& source, float init, - const absl::Span<const int64>& window, - const absl::Span<const int64>& stride, bool same_padding); + absl::Span<const int64> window, absl::Span<const int64> stride, + bool same_padding); // Concatenates the lhs and rhs arrays along the concatenate_dimension. // E.g. if concatenate_dimension is 0, the "n1"/height dimension is @@ -332,8 +326,8 @@ class ReferenceUtil { // Slices with index clamping template <typename T> - static std::vector<T> ClampSlice1D(const absl::Span<const T>& input, - int64 start, int64 size) { + static std::vector<T> ClampSlice1D(absl::Span<const T> input, int64 start, + int64 size) { start = std::min<int64>(std::max<int64>(0, start), input.size() - size); std::vector<T> result; for (int64 i = 0; i < size; ++i) { |