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NeuZephyr
Simple DL Framework
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NeuZephyr
Simple DL Framework
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This is the complete list of members for nz::data::Tensor, including all inherited members.
| clear() const | nz::data::Tensor | |
| data() const noexcept | nz::data::Tensor | |
| dataInject(value_type *data, bool grad=false) const | nz::data::Tensor | |
| dataInject(Iterator begin, Iterator end, const bool grad=false) const | nz::data::Tensor | inline |
| dataInject(const std::initializer_list< value_type > &data, bool grad=false) const | nz::data::Tensor | |
| expSum() const | nz::data::Tensor | |
| expSum(size_t batch, size_t channel) const | nz::data::Tensor | |
| fill(value_type value, bool isGrad=false) const | nz::data::Tensor | |
| fillMatrix(value_type value, size_type batch, size_type channels, bool isGrad=false) | nz::data::Tensor | |
| find(value_type value) const | nz::data::Tensor | |
| find(value_type value, size_type batch, size_type channel) const | nz::data::Tensor | |
| grad() const | nz::data::Tensor | |
| hostData() const noexcept | nz::data::Tensor | |
| hostGrad() const | nz::data::Tensor | |
| max() const | nz::data::Tensor | |
| max(size_type batch, size_type channel) const | nz::data::Tensor | |
| min() const | nz::data::Tensor | |
| min(size_type batch, size_type channel) const | nz::data::Tensor | |
| operator!=(const Tensor &other) const | nz::data::Tensor | |
| operator*(const Tensor &other) const | nz::data::Tensor | |
| operator+(const Tensor &other) const | nz::data::Tensor | |
| operator-(const Tensor &other) const | nz::data::Tensor | |
| operator-() const | nz::data::Tensor | |
| operator/(const Tensor &other) const | nz::data::Tensor | |
| operator<<(std::ostream &os, const Tensor &tensor) | nz::data::Tensor | friend |
| operator=(const Tensor &other) | nz::data::Tensor | |
| operator=(Tensor &&other) noexcept(false) | nz::data::Tensor | |
| operator==(const Tensor &other) const | nz::data::Tensor | |
| operator>>(std::istream &is, const Tensor &tensor) | nz::data::Tensor | friend |
| print(std::ostream &os) const | nz::data::Tensor | |
| printGrad(std::ostream &os) const | nz::data::Tensor | |
| randomize(unsigned long long seed=0) const | nz::data::Tensor | |
| recip() const | nz::data::Tensor | |
| requiresGrad() const noexcept | nz::data::Tensor | |
| reshape(const shape_type &shape) | nz::data::Tensor | |
| setData(const shape_type &position, value_type value, bool isGrad=false) const | nz::data::Tensor | |
| setRequiresGrad(bool requires_grad) | nz::data::Tensor | |
| shape() const noexcept | nz::data::Tensor | |
| size() const noexcept | nz::data::Tensor | |
| sum() const | nz::data::Tensor | |
| sum(size_type batch, size_type channel) const | nz::data::Tensor | |
| sync() const | nz::data::Tensor | |
| syncData() const | nz::data::Tensor | |
| syncGrad() const | nz::data::Tensor | |
| Tensor() | nz::data::Tensor | |
| Tensor(const shape_type &shape, bool requires_grad=false) | nz::data::Tensor | explicit |
| Tensor(const shape_type &shape, value_type *data, bool requires_grad=false, bool host=true) | nz::data::Tensor | explicit |
| Tensor(const shape_type &shape, const std::initializer_list< value_type > &data, bool requires_grad=false) | nz::data::Tensor | explicit |
| Tensor(const Tensor &other) | nz::data::Tensor | |
| Tensor(Tensor &&other) noexcept(false) | nz::data::Tensor | |
| transpose() | nz::data::Tensor | |
| zeroGrad() const | nz::data::Tensor | |
| ~Tensor() noexcept(false) | nz::data::Tensor |
1.12.0