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libdl
0.0.1
Simple yet powerful deep learning
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Functions | |
| TensorPtr | dl::mean (TensorPtr x) noexcept |
| Mean. | |
| TensorPtr | dl::mean (TensorPtr x, int dim, bool keepdim=false) noexcept |
| Mean along a specified axis. | |
| TensorPtr | dl::sum (TensorPtr x) noexcept |
| Sum. | |
| TensorPtr | dl::sum (TensorPtr x, int dim, bool keepdim=false) noexcept |
| Sum along a specified axis. | |
| TensorPtr | dl::min (TensorPtr x) noexcept |
| Minimum. | |
| TensorPtr | dl::min (TensorPtr x, int dim, bool keepdim=false) noexcept |
| Minimum along a specified axis. | |
| TensorPtr | dl::max (TensorPtr x) noexcept |
| Maximum. | |
| TensorPtr | dl::max (TensorPtr x, int dim, bool keepdim=false) noexcept |
| Maximum along a specified axis. | |
| TensorPtr | dl::max (TensorPtr x, TensorPtr y) noexcept |
| Elementwise maximum. | |
| TensorPtr | dl::var (TensorPtr x, DOF dof=DOF{1}) noexcept |
| Variance. | |
| TensorPtr | dl::var (TensorPtr x, int dim, DOF dof=DOF{1}) noexcept |
| Variance along a specified axis. | |
| TensorPtr | dl::erf (TensorPtr x) noexcept |
| (Gauss) Error Function | |