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PyTorch
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This is the complete list of members for at::Tensor, including all inherited members.
| __and__(const at::Scalar &other) const | at::Tensor | inline |
| __and__(const at::Tensor &other) const | at::Tensor | inline |
| __dispatch__backward(at::TensorList inputs, const c10::optional< at::Tensor > &gradient={}, c10::optional< bool > retain_graph=c10::nullopt, bool create_graph=false) const | at::Tensor | inline |
| __dispatch__is_zerotensor() const | at::Tensor | inline |
| __dispatch__version() const | at::Tensor | inline |
| __dispatch_conj() const | at::Tensor | inline |
| __dispatch_contiguous(at::MemoryFormat memory_format=MemoryFormat::Contiguous) const | at::Tensor | inline |
| __dispatch_data() const | at::Tensor | inline |
| __dispatch_is_complex() const | at::Tensor | inline |
| __dispatch_is_conj() const | at::Tensor | inline |
| __dispatch_is_floating_point() const | at::Tensor | inline |
| __dispatch_is_inference() const | at::Tensor | inline |
| __dispatch_is_leaf() const | at::Tensor | inline |
| __dispatch_is_neg() const | at::Tensor | inline |
| __dispatch_is_signed() const | at::Tensor | inline |
| __dispatch_output_nr() const | at::Tensor | inline |
| __dispatch_requires_grad_(bool requires_grad=true) const | at::Tensor | inline |
| __dispatch_retain_grad() const | at::Tensor | inline |
| __dispatch_retains_grad() const | at::Tensor | inline |
| __dispatch_set_data(const at::Tensor &new_data) const | at::Tensor | inline |
| __iand__(const at::Scalar &other) const | at::Tensor | inline |
| __iand__(const at::Tensor &other) const | at::Tensor | inline |
| __ilshift__(const at::Scalar &other) const | at::Tensor | inline |
| __ilshift__(const at::Tensor &other) const | at::Tensor | inline |
| __ior__(const at::Scalar &other) const | at::Tensor | inline |
| __ior__(const at::Tensor &other) const | at::Tensor | inline |
| __irshift__(const at::Scalar &other) const | at::Tensor | inline |
| __irshift__(const at::Tensor &other) const | at::Tensor | inline |
| __ixor__(const at::Scalar &other) const | at::Tensor | inline |
| __ixor__(const at::Tensor &other) const | at::Tensor | inline |
| __lshift__(const at::Scalar &other) const | at::Tensor | inline |
| __lshift__(const at::Tensor &other) const | at::Tensor | inline |
| __or__(const at::Scalar &other) const | at::Tensor | inline |
| __or__(const at::Tensor &other) const | at::Tensor | inline |
| __rshift__(const at::Scalar &other) const | at::Tensor | inline |
| __rshift__(const at::Tensor &other) const | at::Tensor | inline |
| __xor__(const at::Scalar &other) const | at::Tensor | inline |
| __xor__(const at::Tensor &other) const | at::Tensor | inline |
| _addmm_activation(const at::Tensor &mat1, const at::Tensor &mat2, const at::Scalar &beta=1, const at::Scalar &alpha=1, bool use_gelu=false) const | at::Tensor | inline |
| _autocast_to_full_precision(bool cuda_enabled, bool cpu_enabled) const | at::Tensor | inline |
| _autocast_to_reduced_precision(bool cuda_enabled, bool cpu_enabled, at::ScalarType cuda_dtype, at::ScalarType cpu_dtype) const | at::Tensor | inline |
| _backward(TensorList inputs, const c10::optional< Tensor > &gradient, c10::optional< bool > keep_graph, bool create_graph) const | at::Tensor | |
| _base() const | at::TensorBase | |
| _coalesced_(bool coalesced) const | at::Tensor | inline |
| _conj() const | at::Tensor | inline |
| _conj_physical() const | at::Tensor | inline |
| _dimI() const | at::Tensor | inline |
| _dimV() const | at::Tensor | inline |
| _fw_grad(uint64_t level) const | at::Tensor | inline |
| _fw_primal(int64_t level) const | at::Tensor | inline |
| _indices() const | at::Tensor | inline |
| _is_all_true() const | at::Tensor | inline |
| _is_any_true() const | at::Tensor | inline |
| _is_zerotensor() const | at::TensorBase | inline |
| _neg_view() const | at::Tensor | inline |
| _nested_tensor_offsets() const | at::Tensor | inline |
| _nested_tensor_size() const | at::Tensor | inline |
| _nested_tensor_strides() const | at::Tensor | inline |
| _nnz() const | at::Tensor | inline |
| _register_hook(std::function< TensorBase(const TensorBase &)> hook) const | at::TensorBase | protected |
| _reshape_alias(at::IntArrayRef size, at::IntArrayRef stride) const | at::Tensor | inline |
| _reshape_alias_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride) const | at::Tensor | inline |
| _set_conj(bool conjugate) const | at::TensorBase | inline |
| _set_fw_grad(const TensorBase &new_grad, uint64_t level, bool is_inplace_op) const | at::Tensor | inline |
| _set_neg(bool negative) const | at::TensorBase | inline |
| _set_zero(bool zero) const | at::TensorBase | inline |
| _to_dense(c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| _values() const | at::Tensor | inline |
| _version() const | at::TensorBase | |
| abs() const | at::Tensor | inline |
| abs_() const | at::Tensor | inline |
| absolute() const | at::Tensor | inline |
| absolute_() const | at::Tensor | inline |
| accessor() const & | at::TensorBase | inline |
| accessor() &&=delete | at::TensorBase | |
| acos() const | at::Tensor | inline |
| acos_() const | at::Tensor | inline |
| acosh() const | at::Tensor | inline |
| acosh_() const | at::Tensor | inline |
| add(const at::Tensor &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| add(const at::Scalar &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| add_(const at::Tensor &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| add_(const at::Scalar &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addbmm(const at::Tensor &batch1, const at::Tensor &batch2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addbmm_(const at::Tensor &batch1, const at::Tensor &batch2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addcdiv(const at::Tensor &tensor1, const at::Tensor &tensor2, const at::Scalar &value=1) const | at::Tensor | inline |
| addcdiv_(const at::Tensor &tensor1, const at::Tensor &tensor2, const at::Scalar &value=1) const | at::Tensor | inline |
| addcmul(const at::Tensor &tensor1, const at::Tensor &tensor2, const at::Scalar &value=1) const | at::Tensor | inline |
| addcmul_(const at::Tensor &tensor1, const at::Tensor &tensor2, const at::Scalar &value=1) const | at::Tensor | inline |
| addmm(const at::Tensor &mat1, const at::Tensor &mat2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addmm_(const at::Tensor &mat1, const at::Tensor &mat2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addmv(const at::Tensor &mat, const at::Tensor &vec, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addmv_(const at::Tensor &mat, const at::Tensor &vec, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addr(const at::Tensor &vec1, const at::Tensor &vec2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| addr_(const at::Tensor &vec1, const at::Tensor &vec2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| adjoint() const | at::Tensor | inline |
| alias() const | at::Tensor | inline |
| align_as(const at::Tensor &other) const | at::Tensor | inline |
| align_to(at::DimnameList names) const | at::Tensor | inline |
| align_to(at::DimnameList order, int64_t ellipsis_idx) const | at::Tensor | inline |
| all(int64_t dim, bool keepdim=false) const | at::Tensor | inline |
| all(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| all() const | at::Tensor | inline |
| allclose(const at::Tensor &other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) const | at::Tensor | inline |
| amax(at::IntArrayRef dim={}, bool keepdim=false) const | at::Tensor | inline |
| amin(at::IntArrayRef dim={}, bool keepdim=false) const | at::Tensor | inline |
| aminmax(c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| angle() const | at::Tensor | inline |
| any(int64_t dim, bool keepdim=false) const | at::Tensor | inline |
| any(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| any() const | at::Tensor | inline |
| arccos() const | at::Tensor | inline |
| arccos_() const | at::Tensor | inline |
| arccosh() const | at::Tensor | inline |
| arccosh_() const | at::Tensor | inline |
| arcsin() const | at::Tensor | inline |
| arcsin_() const | at::Tensor | inline |
| arcsinh() const | at::Tensor | inline |
| arcsinh_() const | at::Tensor | inline |
| arctan() const | at::Tensor | inline |
| arctan2(const at::Tensor &other) const | at::Tensor | inline |
| arctan2_(const at::Tensor &other) const | at::Tensor | inline |
| arctan_() const | at::Tensor | inline |
| arctanh() const | at::Tensor | inline |
| arctanh_() const | at::Tensor | inline |
| argmax(c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| argmin(c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| argsort(int64_t dim=-1, bool descending=false) const | at::Tensor | inline |
| argsort(bool stable, int64_t dim=-1, bool descending=false) const | at::Tensor | inline |
| argsort(at::Dimname dim, bool descending=false) const | at::Tensor | inline |
| argwhere() const | at::Tensor | inline |
| as_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional< int64_t > storage_offset=c10::nullopt) const | at::Tensor | inline |
| as_strided_(at::IntArrayRef size, at::IntArrayRef stride, c10::optional< int64_t > storage_offset=c10::nullopt) const | at::Tensor | inline |
| as_strided__symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional< c10::SymInt > storage_offset=c10::nullopt) const | at::Tensor | inline |
| as_strided_scatter(const at::Tensor &src, at::IntArrayRef size, at::IntArrayRef stride, c10::optional< int64_t > storage_offset=c10::nullopt) const | at::Tensor | inline |
| as_strided_scatter_symint(const at::Tensor &src, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional< c10::SymInt > storage_offset=c10::nullopt) const | at::Tensor | inline |
| as_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional< c10::SymInt > storage_offset=c10::nullopt) const | at::Tensor | inline |
| asin() const | at::Tensor | inline |
| asin_() const | at::Tensor | inline |
| asinh() const | at::Tensor | inline |
| asinh_() const | at::Tensor | inline |
| atan() const | at::Tensor | inline |
| atan2(const at::Tensor &other) const | at::Tensor | inline |
| atan2_(const at::Tensor &other) const | at::Tensor | inline |
| atan_() const | at::Tensor | inline |
| atanh() const | at::Tensor | inline |
| atanh_() const | at::Tensor | inline |
| backward(const Tensor &gradient={}, c10::optional< bool > retain_graph=c10::nullopt, bool create_graph=false, c10::optional< TensorList > inputs=c10::nullopt) const | at::Tensor | inline |
| baddbmm(const at::Tensor &batch1, const at::Tensor &batch2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| baddbmm_(const at::Tensor &batch1, const at::Tensor &batch2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| bernoulli(c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| bernoulli(double p, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| bernoulli_(const at::Tensor &p, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| bernoulli_(double p=0.5, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| bincount(const c10::optional< at::Tensor > &weights={}, int64_t minlength=0) const | at::Tensor | inline |
| bitwise_and(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_and(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_and_(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_and_(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_left_shift(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_left_shift(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_left_shift_(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_left_shift_(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_not() const | at::Tensor | inline |
| bitwise_not_() const | at::Tensor | inline |
| bitwise_or(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_or(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_or_(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_or_(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_right_shift(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_right_shift(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_right_shift_(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_right_shift_(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_xor(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_xor(const at::Tensor &other) const | at::Tensor | inline |
| bitwise_xor_(const at::Scalar &other) const | at::Tensor | inline |
| bitwise_xor_(const at::Tensor &other) const | at::Tensor | inline |
| bmm(const at::Tensor &mat2) const | at::Tensor | inline |
| broadcast_to(at::IntArrayRef size) const | at::Tensor | inline |
| broadcast_to_symint(c10::SymIntArrayRef size) const | at::Tensor | inline |
| C10_DEPRECATED_MESSAGE("Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device().") DeprecatedTypeProperties &type() const | at::Tensor | inline |
| C10_DEPRECATED_MESSAGE("Tensor.is_variable() is deprecated; everything is a variable now. (If you want to assert that variable has been appropriately handled already, use at::impl::variable_excluded_from_dispatch())") bool is_variable() const noexcept | at::Tensor | inline |
| C10_DEPRECATED_MESSAGE("Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead.") T *data() const | at::Tensor | inline |
| C10_DEPRECATED_MESSAGE("packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead") GenericPackedTensorAccessor< T | at::Tensor | |
| C10_DEPRECATED_MESSAGE("packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead") GenericPackedTensorAccessor< T | at::Tensor | |
| cauchy_(double median=0, double sigma=1, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| ccol_indices() const | at::Tensor | inline |
| ceil() const | at::Tensor | inline |
| ceil_() const | at::Tensor | inline |
| chalf(c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| cholesky(bool upper=false) const | at::Tensor | inline |
| cholesky_inverse(bool upper=false) const | at::Tensor | inline |
| cholesky_solve(const at::Tensor &input2, bool upper=false) const | at::Tensor | inline |
| chunk(int64_t chunks, int64_t dim=0) const | at::Tensor | inline |
| clamp(const c10::optional< at::Scalar > &min, const c10::optional< at::Scalar > &max=c10::nullopt) const | at::Tensor | inline |
| clamp(const c10::optional< at::Tensor > &min={}, const c10::optional< at::Tensor > &max={}) const | at::Tensor | inline |
| clamp_(const c10::optional< at::Scalar > &min, const c10::optional< at::Scalar > &max=c10::nullopt) const | at::Tensor | inline |
| clamp_(const c10::optional< at::Tensor > &min={}, const c10::optional< at::Tensor > &max={}) const | at::Tensor | inline |
| clamp_max(const at::Scalar &max) const | at::Tensor | inline |
| clamp_max(const at::Tensor &max) const | at::Tensor | inline |
| clamp_max_(const at::Scalar &max) const | at::Tensor | inline |
| clamp_max_(const at::Tensor &max) const | at::Tensor | inline |
| clamp_min(const at::Scalar &min) const | at::Tensor | inline |
| clamp_min(const at::Tensor &min) const | at::Tensor | inline |
| clamp_min_(const at::Scalar &min) const | at::Tensor | inline |
| clamp_min_(const at::Tensor &min) const | at::Tensor | inline |
| clip(const c10::optional< at::Scalar > &min, const c10::optional< at::Scalar > &max=c10::nullopt) const | at::Tensor | inline |
| clip(const c10::optional< at::Tensor > &min={}, const c10::optional< at::Tensor > &max={}) const | at::Tensor | inline |
| clip_(const c10::optional< at::Scalar > &min, const c10::optional< at::Scalar > &max=c10::nullopt) const | at::Tensor | inline |
| clip_(const c10::optional< at::Tensor > &min={}, const c10::optional< at::Tensor > &max={}) const | at::Tensor | inline |
| clone(c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| coalesce() const | at::Tensor | inline |
| col_indices() const | at::Tensor | inline |
| conj() const | at::Tensor | inline |
| conj_physical() const | at::Tensor | inline |
| conj_physical_() const | at::Tensor | inline |
| contiguous(MemoryFormat memory_format=MemoryFormat::Contiguous) const | at::Tensor | inline |
| copy_(const at::Tensor &src, bool non_blocking=false) const | at::Tensor | inline |
| copysign(const at::Tensor &other) const | at::Tensor | inline |
| copysign(const at::Scalar &other) const | at::Tensor | inline |
| copysign_(const at::Tensor &other) const | at::Tensor | inline |
| copysign_(const at::Scalar &other) const | at::Tensor | inline |
| corrcoef() const | at::Tensor | inline |
| cos() const | at::Tensor | inline |
| cos_() const | at::Tensor | inline |
| cosh() const | at::Tensor | inline |
| cosh_() const | at::Tensor | inline |
| count_nonzero(at::IntArrayRef dim) const | at::Tensor | inline |
| count_nonzero(c10::optional< int64_t > dim=c10::nullopt) const | at::Tensor | inline |
| cov(int64_t correction=1, const c10::optional< at::Tensor > &fweights={}, const c10::optional< at::Tensor > &aweights={}) const | at::Tensor | inline |
| cpu() const | at::Tensor | inline |
| cross(const at::Tensor &other, c10::optional< int64_t > dim=c10::nullopt) const | at::Tensor | inline |
| crow_indices() const | at::Tensor | inline |
| cuda() const | at::Tensor | inline |
| cummax(int64_t dim) const | at::Tensor | inline |
| cummax(at::Dimname dim) const | at::Tensor | inline |
| cummin(int64_t dim) const | at::Tensor | inline |
| cummin(at::Dimname dim) const | at::Tensor | inline |
| cumprod(int64_t dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumprod(at::Dimname dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumprod_(int64_t dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumprod_(at::Dimname dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumsum(int64_t dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumsum(at::Dimname dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumsum_(int64_t dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| cumsum_(at::Dimname dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| data() const | at::Tensor | inline |
| data_ptr() const | at::TensorBase | inline |
| data_ptr() const | at::TensorBase | |
| defined() const | at::TensorBase | inline |
| deg2rad() const | at::Tensor | inline |
| deg2rad_() const | at::Tensor | inline |
| dense_dim() const | at::Tensor | inline |
| dequantize() const | at::Tensor | inline |
| det() const | at::Tensor | inline |
| detach() const | at::Tensor | inline |
| detach_() const | at::Tensor | inline |
| device() const | at::TensorBase | inline |
| diag(int64_t diagonal=0) const | at::Tensor | inline |
| diag_embed(int64_t offset=0, int64_t dim1=-2, int64_t dim2=-1) const | at::Tensor | inline |
| diagflat(int64_t offset=0) const | at::Tensor | inline |
| diagonal(int64_t offset=0, int64_t dim1=0, int64_t dim2=1) const | at::Tensor | inline |
| diagonal(at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset=0) const | at::Tensor | inline |
| diagonal_scatter(const at::Tensor &src, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) const | at::Tensor | inline |
| diff(int64_t n=1, int64_t dim=-1, const c10::optional< at::Tensor > &prepend={}, const c10::optional< at::Tensor > &append={}) const | at::Tensor | inline |
| digamma() const | at::Tensor | inline |
| digamma_() const | at::Tensor | inline |
| dim() const | at::TensorBase | inline |
| dist(const at::Tensor &other, const at::Scalar &p=2) const | at::Tensor | inline |
| div(const at::Tensor &other) const | at::Tensor | inline |
| div(const at::Tensor &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| div(const at::Scalar &other) const | at::Tensor | inline |
| div(const at::Scalar &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| div_(const at::Tensor &other) const | at::Tensor | inline |
| div_(const at::Tensor &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| div_(const at::Scalar &other) const | at::Tensor | inline |
| div_(const at::Scalar &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| divide(const at::Tensor &other) const | at::Tensor | inline |
| divide(const at::Scalar &other) const | at::Tensor | inline |
| divide(const at::Tensor &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| divide(const at::Scalar &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| divide_(const at::Tensor &other) const | at::Tensor | inline |
| divide_(const at::Scalar &other) const | at::Tensor | inline |
| divide_(const at::Tensor &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| divide_(const at::Scalar &other, c10::optional< c10::string_view > rounding_mode) const | at::Tensor | inline |
| dot(const at::Tensor &tensor) const | at::Tensor | inline |
| dsplit(int64_t sections) const | at::Tensor | inline |
| dsplit(at::IntArrayRef indices) const | at::Tensor | inline |
| dtype() const | at::TensorBase | inline |
| element_size() const | at::TensorBase | inline |
| enforce_invariants() | at::TensorBase | protected |
| eq(const at::Scalar &other) const | at::Tensor | inline |
| eq(const at::Tensor &other) const | at::Tensor | inline |
| eq_(const at::Scalar &other) const | at::Tensor | inline |
| eq_(const at::Tensor &other) const | at::Tensor | inline |
| equal(const at::Tensor &other) const | at::Tensor | inline |
| erf() const | at::Tensor | inline |
| erf_() const | at::Tensor | inline |
| erfc() const | at::Tensor | inline |
| erfc_() const | at::Tensor | inline |
| erfinv() const | at::Tensor | inline |
| erfinv_() const | at::Tensor | inline |
| exp() const | at::Tensor | inline |
| exp2() const | at::Tensor | inline |
| exp2_() const | at::Tensor | inline |
| exp_() const | at::Tensor | inline |
| expand(at::IntArrayRef size, bool implicit=false) const | at::Tensor | inline |
| expand_as(const at::Tensor &other) const | at::Tensor | inline |
| expand_symint(c10::SymIntArrayRef size, bool implicit=false) const | at::Tensor | inline |
| expect_contiguous(MemoryFormat memory_format=MemoryFormat::Contiguous) const & | at::Tensor | inline |
| expect_contiguous(MemoryFormat memory_format=MemoryFormat::Contiguous) &&=delete | at::Tensor | |
| expm1() const | at::Tensor | inline |
| expm1_() const | at::Tensor | inline |
| exponential_(double lambd=1, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| fill_(const at::Scalar &value) const | at::Tensor | inline |
| fill_(const at::Tensor &value) const | at::Tensor | inline |
| at::TensorBase::fill_(const c10::Scalar &scalar) const | at::TensorBase | |
| fill_diagonal_(const at::Scalar &fill_value, bool wrap=false) const | at::Tensor | inline |
| fix() const | at::Tensor | inline |
| fix_() const | at::Tensor | inline |
| flatten(int64_t start_dim=0, int64_t end_dim=-1) const | at::Tensor | inline |
| flatten(int64_t start_dim, int64_t end_dim, at::Dimname out_dim) const | at::Tensor | inline |
| flatten(at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) const | at::Tensor | inline |
| flatten(at::DimnameList dims, at::Dimname out_dim) const | at::Tensor | inline |
| flip(at::IntArrayRef dims) const | at::Tensor | inline |
| fliplr() const | at::Tensor | inline |
| flipud() const | at::Tensor | inline |
| float_power(const at::Tensor &exponent) const | at::Tensor | inline |
| float_power(const at::Scalar &exponent) const | at::Tensor | inline |
| float_power_(const at::Scalar &exponent) const | at::Tensor | inline |
| float_power_(const at::Tensor &exponent) const | at::Tensor | inline |
| floor() const | at::Tensor | inline |
| floor_() const | at::Tensor | inline |
| floor_divide(const at::Tensor &other) const | at::Tensor | inline |
| floor_divide(const at::Scalar &other) const | at::Tensor | inline |
| floor_divide_(const at::Tensor &other) const | at::Tensor | inline |
| floor_divide_(const at::Scalar &other) const | at::Tensor | inline |
| fmax(const at::Tensor &other) const | at::Tensor | inline |
| fmin(const at::Tensor &other) const | at::Tensor | inline |
| fmod(const at::Scalar &other) const | at::Tensor | inline |
| fmod(const at::Tensor &other) const | at::Tensor | inline |
| fmod_(const at::Scalar &other) const | at::Tensor | inline |
| fmod_(const at::Tensor &other) const | at::Tensor | inline |
| frac() const | at::Tensor | inline |
| frac_() const | at::Tensor | inline |
| frexp() const | at::Tensor | inline |
| gather(int64_t dim, const at::Tensor &index, bool sparse_grad=false) const | at::Tensor | inline |
| gather(at::Dimname dim, const at::Tensor &index, bool sparse_grad=false) const | at::Tensor | inline |
| gcd(const at::Tensor &other) const | at::Tensor | inline |
| gcd_(const at::Tensor &other) const | at::Tensor | inline |
| ge(const at::Scalar &other) const | at::Tensor | inline |
| ge(const at::Tensor &other) const | at::Tensor | inline |
| ge_(const at::Scalar &other) const | at::Tensor | inline |
| ge_(const at::Tensor &other) const | at::Tensor | inline |
| generic_packed_accessor() const & | at::TensorBase | inline |
| generic_packed_accessor() &&=delete | at::TensorBase | |
| geometric_(double p, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| geqrf() const | at::Tensor | inline |
| ger(const at::Tensor &vec2) const | at::Tensor | inline |
| get_device() const | at::TensorBase | inline |
| get_named_tensor_meta() const | at::TensorBase | inline |
| get_named_tensor_meta() | at::TensorBase | inline |
| getIntrusivePtr() const | at::TensorBase | inline |
| grad() const | at::Tensor | inline |
| grad_fn() const | at::TensorBase | |
| greater(const at::Scalar &other) const | at::Tensor | inline |
| greater(const at::Tensor &other) const | at::Tensor | inline |
| greater_(const at::Scalar &other) const | at::Tensor | inline |
| greater_(const at::Tensor &other) const | at::Tensor | inline |
| greater_equal(const at::Scalar &other) const | at::Tensor | inline |
| greater_equal(const at::Tensor &other) const | at::Tensor | inline |
| greater_equal_(const at::Scalar &other) const | at::Tensor | inline |
| greater_equal_(const at::Tensor &other) const | at::Tensor | inline |
| gt(const at::Scalar &other) const | at::Tensor | inline |
| gt(const at::Tensor &other) const | at::Tensor | inline |
| gt_(const at::Scalar &other) const | at::Tensor | inline |
| gt_(const at::Tensor &other) const | at::Tensor | inline |
| hardshrink(const at::Scalar &lambd=0.5) const | at::Tensor | inline |
| hardshrink_backward(const at::Tensor &grad_out, const at::Scalar &lambd) const | at::Tensor | inline |
| has_names() const | at::TensorBase | inline |
| has_storage() const | at::TensorBase | inline |
| heaviside(const at::Tensor &values) const | at::Tensor | inline |
| heaviside_(const at::Tensor &values) const | at::Tensor | inline |
| hip() const | at::Tensor | inline |
| histc(int64_t bins=100, const at::Scalar &min=0, const at::Scalar &max=0) const | at::Tensor | inline |
| histogram(const at::Tensor &bins, const c10::optional< at::Tensor > &weight={}, bool density=false) const | at::Tensor | inline |
| histogram(int64_t bins=100, c10::optional< at::ArrayRef< double > > range=c10::nullopt, const c10::optional< at::Tensor > &weight={}, bool density=false) const | at::Tensor | inline |
| hook_return_var_t typedef | at::Tensor | |
| hook_return_void_t typedef | at::Tensor | |
| hsplit(int64_t sections) const | at::Tensor | inline |
| hsplit(at::IntArrayRef indices) const | at::Tensor | inline |
| hypot(const at::Tensor &other) const | at::Tensor | inline |
| hypot_(const at::Tensor &other) const | at::Tensor | inline |
| i0() const | at::Tensor | inline |
| i0_() const | at::Tensor | inline |
| igamma(const at::Tensor &other) const | at::Tensor | inline |
| igamma_(const at::Tensor &other) const | at::Tensor | inline |
| igammac(const at::Tensor &other) const | at::Tensor | inline |
| igammac_(const at::Tensor &other) const | at::Tensor | inline |
| impl_ | at::TensorBase | protected |
| index(ArrayRef< at::indexing::TensorIndex > indices) const | at::Tensor | |
| index(std::initializer_list< at::indexing::TensorIndex > indices) const | at::Tensor | |
| index(const c10::List< c10::optional< at::Tensor > > &indices) const | at::Tensor | inline |
| index_add(int64_t dim, const at::Tensor &index, const at::Tensor &source, const at::Scalar &alpha=1) const | at::Tensor | inline |
| index_add(at::Dimname dim, const at::Tensor &index, const at::Tensor &source, const at::Scalar &alpha=1) const | at::Tensor | inline |
| index_add_(int64_t dim, const at::Tensor &index, const at::Tensor &source, const at::Scalar &alpha=1) const | at::Tensor | inline |
| index_copy(int64_t dim, const at::Tensor &index, const at::Tensor &source) const | at::Tensor | inline |
| index_copy(at::Dimname dim, const at::Tensor &index, const at::Tensor &source) const | at::Tensor | inline |
| index_copy_(int64_t dim, const at::Tensor &index, const at::Tensor &source) const | at::Tensor | inline |
| index_copy_(at::Dimname dim, const at::Tensor &index, const at::Tensor &source) const | at::Tensor | inline |
| index_fill(int64_t dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| index_fill(int64_t dim, const at::Tensor &index, const at::Tensor &value) const | at::Tensor | inline |
| index_fill(at::Dimname dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| index_fill(at::Dimname dim, const at::Tensor &index, const at::Tensor &value) const | at::Tensor | inline |
| index_fill_(int64_t dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| index_fill_(int64_t dim, const at::Tensor &index, const at::Tensor &value) const | at::Tensor | inline |
| index_fill_(at::Dimname dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| index_fill_(at::Dimname dim, const at::Tensor &index, const at::Tensor &value) const | at::Tensor | inline |
| index_put(const c10::List< c10::optional< at::Tensor > > &indices, const at::Tensor &values, bool accumulate=false) const | at::Tensor | inline |
| index_put_(ArrayRef< at::indexing::TensorIndex > indices, Tensor const &rhs) | at::Tensor | |
| index_put_(ArrayRef< at::indexing::TensorIndex > indices, const Scalar &v) | at::Tensor | |
| index_put_(std::initializer_list< at::indexing::TensorIndex > indices, Tensor const &rhs) | at::Tensor | |
| index_put_(std::initializer_list< at::indexing::TensorIndex > indices, const Scalar &v) | at::Tensor | |
| index_put_(const c10::List< c10::optional< at::Tensor > > &indices, const at::Tensor &values, bool accumulate=false) const | at::Tensor | inline |
| index_reduce(int64_t dim, const at::Tensor &index, const at::Tensor &source, c10::string_view reduce, bool include_self=true) const | at::Tensor | inline |
| index_reduce_(int64_t dim, const at::Tensor &index, const at::Tensor &source, c10::string_view reduce, bool include_self=true) const | at::Tensor | inline |
| index_select(int64_t dim, const at::Tensor &index) const | at::Tensor | inline |
| index_select(at::Dimname dim, const at::Tensor &index) const | at::Tensor | inline |
| indices() const | at::Tensor | inline |
| inner(const at::Tensor &other) const | at::Tensor | inline |
| int_repr() const | at::Tensor | inline |
| inverse() const | at::Tensor | inline |
| is_alias_of(const at::TensorBase &other) const | at::TensorBase | inline |
| is_coalesced() const | at::Tensor | inline |
| is_complex() const | at::TensorBase | inline |
| is_conj() const | at::TensorBase | inline |
| is_contiguous(at::MemoryFormat memory_format=at::MemoryFormat::Contiguous) const | at::TensorBase | inline |
| is_cpu() const | at::TensorBase | inline |
| is_cuda() const | at::TensorBase | inline |
| is_distributed() const | at::Tensor | inline |
| is_floating_point() const | at::TensorBase | inline |
| is_hip() const | at::TensorBase | inline |
| is_hpu() const | at::TensorBase | inline |
| is_inference() const | at::TensorBase | inline |
| is_ipu() const | at::TensorBase | inline |
| is_lazy() const | at::TensorBase | inline |
| is_leaf() const | at::TensorBase | |
| is_meta() const | at::TensorBase | inline |
| is_metal() const | at::TensorBase | inline |
| is_mkldnn() const | at::TensorBase | inline |
| is_mps() const | at::TensorBase | inline |
| is_neg() const | at::TensorBase | inline |
| is_nested() const | at::TensorBase | inline |
| is_non_overlapping_and_dense() const | at::TensorBase | inline |
| is_nonzero() const | at::Tensor | inline |
| is_ort() const | at::TensorBase | inline |
| is_pinned(c10::optional< at::Device > device=c10::nullopt) const | at::Tensor | inline |
| is_quantized() const | at::TensorBase | inline |
| is_same(const TensorBase &other) const noexcept | at::TensorBase | inline |
| is_same_size(const at::Tensor &other) const | at::Tensor | inline |
| is_set_to(const at::Tensor &tensor) const | at::Tensor | inline |
| is_signed() const | at::TensorBase | inline |
| is_sparse() const | at::TensorBase | inline |
| is_sparse_csr() const | at::TensorBase | inline |
| is_ve() const | at::TensorBase | inline |
| is_view() const | at::TensorBase | |
| is_vulkan() const | at::TensorBase | inline |
| is_xla() const | at::TensorBase | inline |
| is_xpu() const | at::TensorBase | inline |
| isclose(const at::Tensor &other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) const | at::Tensor | inline |
| isfinite() const | at::Tensor | inline |
| isinf() const | at::Tensor | inline |
| isnan() const | at::Tensor | inline |
| isneginf() const | at::Tensor | inline |
| isposinf() const | at::Tensor | inline |
| isreal() const | at::Tensor | inline |
| istft(int64_t n_fft, c10::optional< int64_t > hop_length=c10::nullopt, c10::optional< int64_t > win_length=c10::nullopt, const c10::optional< at::Tensor > &window={}, bool center=true, bool normalized=false, c10::optional< bool > onesided=c10::nullopt, c10::optional< int64_t > length=c10::nullopt, bool return_complex=false) const | at::Tensor | inline |
| item() const | at::Tensor | |
| item() const | at::Tensor | inline |
| itemsize() const | at::TensorBase | inline |
| key_set() const | at::TensorBase | inline |
| kron(const at::Tensor &other) const | at::Tensor | inline |
| kthvalue(int64_t k, int64_t dim=-1, bool keepdim=false) const | at::Tensor | inline |
| kthvalue(int64_t k, at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| layout() const | at::TensorBase | inline |
| lcm(const at::Tensor &other) const | at::Tensor | inline |
| lcm_(const at::Tensor &other) const | at::Tensor | inline |
| ldexp(const at::Tensor &other) const | at::Tensor | inline |
| ldexp_(const at::Tensor &other) const | at::Tensor | inline |
| le(const at::Scalar &other) const | at::Tensor | inline |
| le(const at::Tensor &other) const | at::Tensor | inline |
| le_(const at::Scalar &other) const | at::Tensor | inline |
| le_(const at::Tensor &other) const | at::Tensor | inline |
| lerp(const at::Tensor &end, const at::Scalar &weight) const | at::Tensor | inline |
| lerp(const at::Tensor &end, const at::Tensor &weight) const | at::Tensor | inline |
| lerp_(const at::Tensor &end, const at::Scalar &weight) const | at::Tensor | inline |
| lerp_(const at::Tensor &end, const at::Tensor &weight) const | at::Tensor | inline |
| less(const at::Scalar &other) const | at::Tensor | inline |
| less(const at::Tensor &other) const | at::Tensor | inline |
| less_(const at::Scalar &other) const | at::Tensor | inline |
| less_(const at::Tensor &other) const | at::Tensor | inline |
| less_equal(const at::Scalar &other) const | at::Tensor | inline |
| less_equal(const at::Tensor &other) const | at::Tensor | inline |
| less_equal_(const at::Scalar &other) const | at::Tensor | inline |
| less_equal_(const at::Tensor &other) const | at::Tensor | inline |
| lgamma() const | at::Tensor | inline |
| lgamma_() const | at::Tensor | inline |
| log() const | at::Tensor | inline |
| log10() const | at::Tensor | inline |
| log10_() const | at::Tensor | inline |
| log1p() const | at::Tensor | inline |
| log1p_() const | at::Tensor | inline |
| log2() const | at::Tensor | inline |
| log2_() const | at::Tensor | inline |
| log_() const | at::Tensor | inline |
| log_normal_(double mean=1, double std=2, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| log_softmax(int64_t dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| log_softmax(at::Dimname dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| logaddexp(const at::Tensor &other) const | at::Tensor | inline |
| logaddexp2(const at::Tensor &other) const | at::Tensor | inline |
| logcumsumexp(int64_t dim) const | at::Tensor | inline |
| logcumsumexp(at::Dimname dim) const | at::Tensor | inline |
| logdet() const | at::Tensor | inline |
| logical_and(const at::Tensor &other) const | at::Tensor | inline |
| logical_and_(const at::Tensor &other) const | at::Tensor | inline |
| logical_not() const | at::Tensor | inline |
| logical_not_() const | at::Tensor | inline |
| logical_or(const at::Tensor &other) const | at::Tensor | inline |
| logical_or_(const at::Tensor &other) const | at::Tensor | inline |
| logical_xor(const at::Tensor &other) const | at::Tensor | inline |
| logical_xor_(const at::Tensor &other) const | at::Tensor | inline |
| logit(c10::optional< double > eps=c10::nullopt) const | at::Tensor | inline |
| logit_(c10::optional< double > eps=c10::nullopt) const | at::Tensor | inline |
| logsumexp(at::IntArrayRef dim, bool keepdim=false) const | at::Tensor | inline |
| logsumexp(at::DimnameList dim, bool keepdim=false) const | at::Tensor | inline |
| lt(const at::Scalar &other) const | at::Tensor | inline |
| lt(const at::Tensor &other) const | at::Tensor | inline |
| lt_(const at::Scalar &other) const | at::Tensor | inline |
| lt_(const at::Tensor &other) const | at::Tensor | inline |
| lu_solve(const at::Tensor &LU_data, const at::Tensor &LU_pivots) const | at::Tensor | inline |
| m(F func, Args &&... params) const | at::Tensor | inline |
| masked_fill(const at::Tensor &mask, const at::Scalar &value) const | at::Tensor | inline |
| masked_fill(const at::Tensor &mask, const at::Tensor &value) const | at::Tensor | inline |
| masked_fill_(const at::Tensor &mask, const at::Scalar &value) const | at::Tensor | inline |
| masked_fill_(const at::Tensor &mask, const at::Tensor &value) const | at::Tensor | inline |
| masked_scatter(const at::Tensor &mask, const at::Tensor &source) const | at::Tensor | inline |
| masked_scatter_(const at::Tensor &mask, const at::Tensor &source) const | at::Tensor | inline |
| masked_select(const at::Tensor &mask) const | at::Tensor | inline |
| matmul(const at::Tensor &other) const | at::Tensor | inline |
| matrix_exp() const | at::Tensor | inline |
| matrix_H() const | at::Tensor | inline |
| matrix_power(int64_t n) const | at::Tensor | inline |
| max(int64_t dim, bool keepdim=false) const | at::Tensor | inline |
| max(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| max() const | at::Tensor | inline |
| max(const at::Tensor &other) const | at::Tensor | inline |
| maximum(const at::Tensor &other) const | at::Tensor | inline |
| MaybeOwnedTraits< Tensor > | at::Tensor | protected |
| MaybeOwnedTraits< TensorBase > | at::TensorBase | protected |
| mean(c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| mean(at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| mean(at::DimnameList dim, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| median() const | at::Tensor | inline |
| median(int64_t dim, bool keepdim=false) const | at::Tensor | inline |
| median(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| meta() const | at::Tensor | inline |
| metal() const | at::Tensor | inline |
| mH() const | at::Tensor | inline |
| min(int64_t dim, bool keepdim=false) const | at::Tensor | inline |
| min(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| min() const | at::Tensor | inline |
| min(const at::Tensor &other) const | at::Tensor | inline |
| minimum(const at::Tensor &other) const | at::Tensor | inline |
| mm(const at::Tensor &mat2) const | at::Tensor | inline |
| mode(int64_t dim=-1, bool keepdim=false) const | at::Tensor | inline |
| mode(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| moveaxis(at::IntArrayRef source, at::IntArrayRef destination) const | at::Tensor | inline |
| moveaxis(int64_t source, int64_t destination) const | at::Tensor | inline |
| movedim(at::IntArrayRef source, at::IntArrayRef destination) const | at::Tensor | inline |
| movedim(int64_t source, int64_t destination) const | at::Tensor | inline |
| msort() const | at::Tensor | inline |
| mT() const | at::Tensor | inline |
| mul(const at::Tensor &other) const | at::Tensor | inline |
| mul(const at::Scalar &other) const | at::Tensor | inline |
| mul_(const at::Tensor &other) const | at::Tensor | inline |
| mul_(const at::Scalar &other) const | at::Tensor | inline |
| multinomial(int64_t num_samples, bool replacement=false, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| multiply(const at::Tensor &other) const | at::Tensor | inline |
| multiply(const at::Scalar &other) const | at::Tensor | inline |
| multiply_(const at::Tensor &other) const | at::Tensor | inline |
| multiply_(const at::Scalar &other) const | at::Tensor | inline |
| mutable_grad() const | at::Tensor | inline |
| mv(const at::Tensor &vec) const | at::Tensor | inline |
| mvlgamma(int64_t p) const | at::Tensor | inline |
| mvlgamma_(int64_t p) const | at::Tensor | inline |
| N | at::Tensor | |
| name() const | at::TensorBase | |
| names() const | at::TensorBase | inline |
| nan_to_num(c10::optional< double > nan=c10::nullopt, c10::optional< double > posinf=c10::nullopt, c10::optional< double > neginf=c10::nullopt) const | at::Tensor | inline |
| nan_to_num_(c10::optional< double > nan=c10::nullopt, c10::optional< double > posinf=c10::nullopt, c10::optional< double > neginf=c10::nullopt) const | at::Tensor | inline |
| nanmean(at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| nanmedian() const | at::Tensor | inline |
| nanmedian(int64_t dim, bool keepdim=false) const | at::Tensor | inline |
| nanmedian(at::Dimname dim, bool keepdim=false) const | at::Tensor | inline |
| nanquantile(const at::Tensor &q, c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const | at::Tensor | inline |
| nanquantile(double q, c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const | at::Tensor | inline |
| nansum(at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| narrow(int64_t dim, int64_t start, int64_t length) const | at::Tensor | inline |
| narrow(int64_t dim, const at::Tensor &start, int64_t length) const | at::Tensor | inline |
| narrow_copy(int64_t dim, int64_t start, int64_t length) const | at::Tensor | inline |
| narrow_copy_symint(int64_t dim, c10::SymInt start, c10::SymInt length) const | at::Tensor | inline |
| narrow_symint(int64_t dim, c10::SymInt start, c10::SymInt length) const | at::Tensor | inline |
| narrow_symint(int64_t dim, const at::Tensor &start, c10::SymInt length) const | at::Tensor | inline |
| nbytes() const | at::TensorBase | inline |
| ndimension() const | at::TensorBase | inline |
| ne(const at::Scalar &other) const | at::Tensor | inline |
| ne(const at::Tensor &other) const | at::Tensor | inline |
| ne_(const at::Scalar &other) const | at::Tensor | inline |
| ne_(const at::Tensor &other) const | at::Tensor | inline |
| neg() const | at::Tensor | inline |
| neg_() const | at::Tensor | inline |
| negative() const | at::Tensor | inline |
| negative_() const | at::Tensor | inline |
| new_empty(at::IntArrayRef size, at::TensorOptions options={}) const | at::Tensor | inline |
| new_empty(at::IntArrayRef size, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_empty_strided(at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) const | at::Tensor | inline |
| new_empty_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options={}) const | at::Tensor | inline |
| new_empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_empty_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) const | at::Tensor | inline |
| new_empty_symint(c10::SymIntArrayRef size, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_full(at::IntArrayRef size, const at::Scalar &fill_value, at::TensorOptions options={}) const | at::Tensor | inline |
| new_full(at::IntArrayRef size, const at::Scalar &fill_value, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_full_symint(c10::SymIntArrayRef size, const at::Scalar &fill_value, at::TensorOptions options={}) const | at::Tensor | inline |
| new_full_symint(c10::SymIntArrayRef size, const at::Scalar &fill_value, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_ones(at::IntArrayRef size, at::TensorOptions options={}) const | at::Tensor | inline |
| new_ones(at::IntArrayRef size, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_ones_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) const | at::Tensor | inline |
| new_ones_symint(c10::SymIntArrayRef size, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_zeros(at::IntArrayRef size, at::TensorOptions options={}) const | at::Tensor | inline |
| new_zeros(at::IntArrayRef size, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| new_zeros_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) const | at::Tensor | inline |
| new_zeros_symint(c10::SymIntArrayRef size, c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory) const | at::Tensor | inline |
| nextafter(const at::Tensor &other) const | at::Tensor | inline |
| nextafter_(const at::Tensor &other) const | at::Tensor | inline |
| nonzero() const | at::Tensor | inline |
| nonzero_numpy() const | at::Tensor | inline |
| norm(const c10::optional< at::Scalar > &p, at::ScalarType dtype) const | at::Tensor | inline |
| norm(const at::Scalar &p=2) const | at::Tensor | inline |
| norm(const c10::optional< at::Scalar > &p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) const | at::Tensor | inline |
| norm(const c10::optional< at::Scalar > &p, at::IntArrayRef dim, bool keepdim=false) const | at::Tensor | inline |
| norm(const c10::optional< at::Scalar > &p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) const | at::Tensor | inline |
| norm(const c10::optional< at::Scalar > &p, at::DimnameList dim, bool keepdim=false) const | at::Tensor | inline |
| normal_(double mean=0, double std=1, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| not_equal(const at::Scalar &other) const | at::Tensor | inline |
| not_equal(const at::Tensor &other) const | at::Tensor | inline |
| not_equal_(const at::Scalar &other) const | at::Tensor | inline |
| not_equal_(const at::Tensor &other) const | at::Tensor | inline |
| numel() const | at::TensorBase | inline |
| numpy_T() const | at::Tensor | inline |
| operator&=(const Tensor &other) | at::Tensor | inline |
| operator*=(const Tensor &other) | at::Tensor | inline |
| operator*=(const Scalar &other) | at::Tensor | inline |
| operator+=(const Tensor &other) | at::Tensor | inline |
| operator+=(const Scalar &other) | at::Tensor | inline |
| operator-() const | at::Tensor | inline |
| operator-=(const Tensor &other) | at::Tensor | inline |
| operator-=(const Scalar &other) | at::Tensor | inline |
| operator/=(const Tensor &other) | at::Tensor | inline |
| operator/=(const Scalar &other) | at::Tensor | inline |
| operator=(const TensorBase &x) & | at::Tensor | inline |
| operator=(TensorBase &&x) &noexcept | at::Tensor | inline |
| operator=(const Tensor &x) & | at::Tensor | inline |
| operator=(Tensor &&x) &noexcept | at::Tensor | inline |
| operator=(const Scalar &v) && | at::Tensor | inline |
| operator=(const Tensor &rhs) && | at::Tensor | inline |
| operator=(Tensor &&rhs) && | at::Tensor | inline |
| at::TensorBase::operator=(const TensorBase &) &&=delete | at::TensorBase | |
| at::TensorBase::operator=(TensorBase &&) &&noexcept=delete | at::TensorBase | |
| operator[](const Scalar &index) const | at::Tensor | inline |
| operator[](const Tensor &index) const | at::Tensor | inline |
| operator[](int64_t index) const | at::Tensor | inline |
| operator^=(const Tensor &other) | at::Tensor | inline |
| operator|=(const Tensor &other) | at::Tensor | inline |
| operator~() const | at::Tensor | inline |
| opt_names() const | at::TensorBase | inline |
| OptionalTensorRef | at::Tensor | protected |
| options() const | at::TensorBase | inline |
| orgqr(const at::Tensor &input2) const | at::Tensor | inline |
| ormqr(const at::Tensor &input2, const at::Tensor &input3, bool left=true, bool transpose=false) const | at::Tensor | inline |
| outer(const at::Tensor &vec2) const | at::Tensor | inline |
| output_nr() const | at::TensorBase | |
| packed_accessor() const & | at::Tensor | inline |
| packed_accessor() &&=delete | at::Tensor | |
| packed_accessor32() const & | at::TensorBase | inline |
| packed_accessor32() &&=delete | at::TensorBase | |
| packed_accessor64() const & | at::TensorBase | inline |
| packed_accessor64() &&=delete | at::TensorBase | |
| permute(at::IntArrayRef dims) const | at::Tensor | inline |
| pin_memory(c10::optional< at::Device > device=c10::nullopt) const | at::Tensor | inline |
| pinverse(double rcond=1e-15) const | at::Tensor | inline |
| polygamma(int64_t n) const | at::Tensor | inline |
| polygamma_(int64_t n) const | at::Tensor | inline |
| positive() const | at::Tensor | inline |
| pow(const at::Tensor &exponent) const | at::Tensor | inline |
| pow(const at::Scalar &exponent) const | at::Tensor | inline |
| pow_(const at::Scalar &exponent) const | at::Tensor | inline |
| pow_(const at::Tensor &exponent) const | at::Tensor | inline |
| prelu(const at::Tensor &weight) const | at::Tensor | inline |
| print() const | at::TensorBase | |
| prod(c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| prod(int64_t dim, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| prod(at::Dimname dim, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| PtrTraits | at::Tensor | |
| put(const at::Tensor &index, const at::Tensor &source, bool accumulate=false) const | at::Tensor | inline |
| put_(const at::Tensor &index, const at::Tensor &source, bool accumulate=false) const | at::Tensor | inline |
| q_per_channel_axis() const | at::Tensor | inline |
| q_per_channel_scales() const | at::Tensor | inline |
| q_per_channel_zero_points() const | at::Tensor | inline |
| q_scale() const | at::Tensor | inline |
| q_zero_point() const | at::Tensor | inline |
| qr(bool some=true) const | at::Tensor | inline |
| qscheme() const | at::Tensor | inline |
| quantile(const at::Tensor &q, c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const | at::Tensor | inline |
| quantile(double q, c10::optional< int64_t > dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const | at::Tensor | inline |
| quantizer() const | at::TensorBase | |
| rad2deg() const | at::Tensor | inline |
| rad2deg_() const | at::Tensor | inline |
| random_(int64_t from, c10::optional< int64_t > to, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| random_(int64_t to, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| random_(c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| ravel() const | at::Tensor | inline |
| reciprocal() const | at::Tensor | inline |
| reciprocal_() const | at::Tensor | inline |
| record_stream(at::Stream s) const | at::Tensor | inline |
| refine_names(at::DimnameList names) const | at::Tensor | inline |
| register_hook(T &&hook) const | at::Tensor | |
| register_hook(T &&hook) const | at::Tensor | |
| register_hook(T &&hook) const -> Tensor::hook_return_void_t< T > | at::Tensor | |
| relu() const | at::Tensor | inline |
| relu_() const | at::Tensor | inline |
| remainder(const at::Scalar &other) const | at::Tensor | inline |
| remainder(const at::Tensor &other) const | at::Tensor | inline |
| remainder_(const at::Scalar &other) const | at::Tensor | inline |
| remainder_(const at::Tensor &other) const | at::Tensor | inline |
| remove_hook(unsigned pos) const | at::TensorBase | |
| rename(c10::optional< at::DimnameList > names) const | at::Tensor | inline |
| rename_(c10::optional< at::DimnameList > names) const | at::Tensor | inline |
| renorm(const at::Scalar &p, int64_t dim, const at::Scalar &maxnorm) const | at::Tensor | inline |
| renorm_(const at::Scalar &p, int64_t dim, const at::Scalar &maxnorm) const | at::Tensor | inline |
| repeat(at::IntArrayRef repeats) const | at::Tensor | inline |
| repeat_interleave(const at::Tensor &repeats, c10::optional< int64_t > dim=c10::nullopt, c10::optional< int64_t > output_size=c10::nullopt) const | at::Tensor | inline |
| repeat_interleave(int64_t repeats, c10::optional< int64_t > dim=c10::nullopt, c10::optional< int64_t > output_size=c10::nullopt) const | at::Tensor | inline |
| repeat_interleave_symint(c10::SymInt repeats, c10::optional< int64_t > dim=c10::nullopt, c10::optional< int64_t > output_size=c10::nullopt) const | at::Tensor | inline |
| repeat_symint(c10::SymIntArrayRef repeats) const | at::Tensor | inline |
| requires_grad() const | at::TensorBase | inline |
| requires_grad_(bool _requires_grad=true) const | at::Tensor | inline |
| reset() | at::TensorBase | inline |
| reshape(at::IntArrayRef shape) const | at::Tensor | inline |
| reshape_as(const at::Tensor &other) const | at::Tensor | inline |
| reshape_symint(c10::SymIntArrayRef shape) const | at::Tensor | inline |
| resize_(at::IntArrayRef size, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| resize__symint(c10::SymIntArrayRef size, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| resize_as_(const at::Tensor &the_template, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| resize_as_sparse_(const at::Tensor &the_template) const | at::Tensor | inline |
| resolve_conj() const | at::Tensor | inline |
| resolve_neg() const | at::Tensor | inline |
| retain_grad() const | at::TensorBase | |
| retains_grad() const | at::TensorBase | |
| roll(at::IntArrayRef shifts, at::IntArrayRef dims={}) const | at::Tensor | inline |
| rot90(int64_t k=1, at::IntArrayRef dims={0, 1}) const | at::Tensor | inline |
| round() const | at::Tensor | inline |
| round(int64_t decimals) const | at::Tensor | inline |
| round_() const | at::Tensor | inline |
| round_(int64_t decimals) const | at::Tensor | inline |
| row_indices() const | at::Tensor | inline |
| rsqrt() const | at::Tensor | inline |
| rsqrt_() const | at::Tensor | inline |
| scalar_type() const | at::TensorBase | inline |
| scatter(int64_t dim, const at::Tensor &index, const at::Tensor &src) const | at::Tensor | inline |
| scatter(int64_t dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| scatter(int64_t dim, const at::Tensor &index, const at::Tensor &src, c10::string_view reduce) const | at::Tensor | inline |
| scatter(int64_t dim, const at::Tensor &index, const at::Scalar &value, c10::string_view reduce) const | at::Tensor | inline |
| scatter(at::Dimname dim, const at::Tensor &index, const at::Tensor &src) const | at::Tensor | inline |
| scatter(at::Dimname dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| scatter_(int64_t dim, const at::Tensor &index, const at::Tensor &src) const | at::Tensor | inline |
| scatter_(int64_t dim, const at::Tensor &index, const at::Scalar &value) const | at::Tensor | inline |
| scatter_(int64_t dim, const at::Tensor &index, const at::Tensor &src, c10::string_view reduce) const | at::Tensor | inline |
| scatter_(int64_t dim, const at::Tensor &index, const at::Scalar &value, c10::string_view reduce) const | at::Tensor | inline |
| scatter_add(int64_t dim, const at::Tensor &index, const at::Tensor &src) const | at::Tensor | inline |
| scatter_add(at::Dimname dim, const at::Tensor &index, const at::Tensor &src) const | at::Tensor | inline |
| scatter_add_(int64_t dim, const at::Tensor &index, const at::Tensor &src) const | at::Tensor | inline |
| scatter_reduce(int64_t dim, const at::Tensor &index, const at::Tensor &src, c10::string_view reduce, bool include_self=true) const | at::Tensor | inline |
| scatter_reduce_(int64_t dim, const at::Tensor &index, const at::Tensor &src, c10::string_view reduce, bool include_self=true) const | at::Tensor | inline |
| select(at::Dimname dim, int64_t index) const | at::Tensor | inline |
| select(int64_t dim, int64_t index) const | at::Tensor | inline |
| select_scatter(const at::Tensor &src, int64_t dim, int64_t index) const | at::Tensor | inline |
| select_scatter_symint(const at::Tensor &src, int64_t dim, c10::SymInt index) const | at::Tensor | inline |
| select_symint(int64_t dim, c10::SymInt index) const | at::Tensor | inline |
| set_(at::Storage source) const | at::Tensor | inline |
| set_(at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) const | at::Tensor | inline |
| set_(const at::Tensor &source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) const | at::Tensor | inline |
| set_(const at::Tensor &source) const | at::Tensor | inline |
| set_() const | at::Tensor | inline |
| set__symint(at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) const | at::Tensor | inline |
| set__symint(const at::Tensor &source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) const | at::Tensor | inline |
| set_data(const TensorBase &new_data) const | at::TensorBase | |
| set_requires_grad(bool requires_grad) const | at::Tensor | inline |
| sgn() const | at::Tensor | inline |
| sgn_() const | at::Tensor | inline |
| sigmoid() const | at::Tensor | inline |
| sigmoid_() const | at::Tensor | inline |
| sign() const | at::Tensor | inline |
| sign_() const | at::Tensor | inline |
| signbit() const | at::Tensor | inline |
| sin() const | at::Tensor | inline |
| sin_() const | at::Tensor | inline |
| sinc() const | at::Tensor | inline |
| sinc_() const | at::Tensor | inline |
| sinh() const | at::Tensor | inline |
| sinh_() const | at::Tensor | inline |
| size(at::Dimname dim) const | at::Tensor | inline |
| size(int64_t dim) const | at::Tensor | inline |
| sizes() const | at::TensorBase | inline |
| slice(int64_t dim=0, c10::optional< int64_t > start=c10::nullopt, c10::optional< int64_t > end=c10::nullopt, int64_t step=1) const | at::Tensor | inline |
| slice_scatter(const at::Tensor &src, int64_t dim=0, c10::optional< int64_t > start=c10::nullopt, c10::optional< int64_t > end=c10::nullopt, int64_t step=1) const | at::Tensor | inline |
| slice_scatter_symint(const at::Tensor &src, int64_t dim=0, c10::optional< c10::SymInt > start=c10::nullopt, c10::optional< c10::SymInt > end=c10::nullopt, c10::SymInt step=1) const | at::Tensor | inline |
| slice_symint(int64_t dim=0, c10::optional< c10::SymInt > start=c10::nullopt, c10::optional< c10::SymInt > end=c10::nullopt, c10::SymInt step=1) const | at::Tensor | inline |
| slogdet() const | at::Tensor | inline |
| smm(const at::Tensor &mat2) const | at::Tensor | inline |
| softmax(int64_t dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| softmax(at::Dimname dim, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| sort(int64_t dim=-1, bool descending=false) const | at::Tensor | inline |
| sort(c10::optional< bool > stable, int64_t dim=-1, bool descending=false) const | at::Tensor | inline |
| sort(at::Dimname dim, bool descending=false) const | at::Tensor | inline |
| sort(c10::optional< bool > stable, at::Dimname dim, bool descending=false) const | at::Tensor | inline |
| sparse_dim() const | at::Tensor | inline |
| sparse_mask(const at::Tensor &mask) const | at::Tensor | inline |
| sparse_resize_(at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) const | at::Tensor | inline |
| sparse_resize_and_clear_(at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) const | at::Tensor | inline |
| split(int64_t split_size, int64_t dim=0) const | at::Tensor | inline |
| split(at::IntArrayRef split_size, int64_t dim=0) const | at::Tensor | inline |
| split_symint(c10::SymInt split_size, int64_t dim=0) const | at::Tensor | inline |
| split_symint(c10::SymIntArrayRef split_size, int64_t dim=0) const | at::Tensor | inline |
| split_with_sizes(at::IntArrayRef split_sizes, int64_t dim=0) const | at::Tensor | inline |
| split_with_sizes_symint(c10::SymIntArrayRef split_sizes, int64_t dim=0) const | at::Tensor | inline |
| sqrt() const | at::Tensor | inline |
| sqrt_() const | at::Tensor | inline |
| square() const | at::Tensor | inline |
| square_() const | at::Tensor | inline |
| squeeze() const | at::Tensor | inline |
| squeeze(int64_t dim) const | at::Tensor | inline |
| squeeze(at::Dimname dim) const | at::Tensor | inline |
| squeeze(at::IntArrayRef dim) const | at::Tensor | inline |
| squeeze_() const | at::Tensor | inline |
| squeeze_(int64_t dim) const | at::Tensor | inline |
| squeeze_(at::IntArrayRef dim) const | at::Tensor | inline |
| squeeze_(at::Dimname dim) const | at::Tensor | inline |
| sspaddmm(const at::Tensor &mat1, const at::Tensor &mat2, const at::Scalar &beta=1, const at::Scalar &alpha=1) const | at::Tensor | inline |
| std(bool unbiased) const | at::Tensor | inline |
| std(at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) const | at::Tensor | inline |
| std(at::OptionalIntArrayRef dim=c10::nullopt, c10::optional< int64_t > correction=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| std(at::DimnameList dim, bool unbiased, bool keepdim=false) const | at::Tensor | inline |
| std(at::DimnameList dim, c10::optional< int64_t > correction=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| std(int dim) const | at::Tensor | inline |
| stft(int64_t n_fft, c10::optional< int64_t > hop_length, c10::optional< int64_t > win_length, const c10::optional< at::Tensor > &window, bool normalized, c10::optional< bool > onesided=c10::nullopt, c10::optional< bool > return_complex=c10::nullopt) const | at::Tensor | inline |
| stft(int64_t n_fft, c10::optional< int64_t > hop_length=c10::nullopt, c10::optional< int64_t > win_length=c10::nullopt, const c10::optional< at::Tensor > &window={}, bool center=true, c10::string_view pad_mode="reflect", bool normalized=false, c10::optional< bool > onesided=c10::nullopt, c10::optional< bool > return_complex=c10::nullopt) const | at::Tensor | inline |
| storage() const | at::TensorBase | inline |
| storage_offset() const | at::TensorBase | inline |
| stride(at::Dimname dim) const | at::Tensor | inline |
| stride(int64_t dim) const | at::Tensor | inline |
| strides() const | at::TensorBase | inline |
| sub(const at::Tensor &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| sub(const at::Scalar &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| sub_(const at::Tensor &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| sub_(const at::Scalar &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| subtract(const at::Tensor &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| subtract(const at::Scalar &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| subtract_(const at::Tensor &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| subtract_(const at::Scalar &other, const at::Scalar &alpha=1) const | at::Tensor | inline |
| suggest_memory_format(bool channels_last_strides_exact_match=false) const | at::TensorBase | inline |
| sum(c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| sum(at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| sum(at::DimnameList dim, bool keepdim=false, c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| sum_to_size(at::IntArrayRef size) const | at::Tensor | inline |
| svd(bool some=true, bool compute_uv=true) const | at::Tensor | inline |
| swapaxes(int64_t axis0, int64_t axis1) const | at::Tensor | inline |
| swapaxes_(int64_t axis0, int64_t axis1) const | at::Tensor | inline |
| swapdims(int64_t dim0, int64_t dim1) const | at::Tensor | inline |
| swapdims_(int64_t dim0, int64_t dim1) const | at::Tensor | inline |
| sym_nbytes() const | at::TensorBase | inline |
| sym_numel() const | at::TensorBase | inline |
| sym_size(int64_t dim) const | at::Tensor | inline |
| sym_sizes() const | at::TensorBase | inline |
| sym_storage_offset() const | at::TensorBase | inline |
| sym_stride(int64_t dim) const | at::TensorBase | inline |
| sym_strides() const | at::TensorBase | inline |
| t() const | at::Tensor | inline |
| t_() const | at::Tensor | inline |
| take(const at::Tensor &index) const | at::Tensor | inline |
| take_along_dim(const at::Tensor &indices, c10::optional< int64_t > dim=c10::nullopt) const | at::Tensor | inline |
| tan() const | at::Tensor | inline |
| tan_() const | at::Tensor | inline |
| tanh() const | at::Tensor | inline |
| tanh_() const | at::Tensor | inline |
| Tensor(unsafe_borrow_t, const TensorBase &rhs) | at::Tensor | inlineexplicitprotected |
| Tensor()=default | at::Tensor | |
| Tensor(c10::intrusive_ptr< TensorImpl, UndefinedTensorImpl > tensor_impl) | at::Tensor | inlineexplicit |
| Tensor(const Tensor &tensor)=default | at::Tensor | |
| Tensor(Tensor &&tensor)=default | at::Tensor | |
| Tensor(const TensorBase &base) | at::Tensor | inlineexplicit |
| Tensor(TensorBase &&base) | at::Tensor | inline |
| tensor_data() const | at::Tensor | inline |
| tensor_split(int64_t sections, int64_t dim=0) const | at::Tensor | inline |
| tensor_split(at::IntArrayRef indices, int64_t dim=0) const | at::Tensor | inline |
| tensor_split(const at::Tensor &tensor_indices_or_sections, int64_t dim=0) const | at::Tensor | inline |
| tensor_split_symint(c10::SymInt sections, int64_t dim=0) const | at::Tensor | inline |
| tensor_split_symint(c10::SymIntArrayRef indices, int64_t dim=0) const | at::Tensor | inline |
| TensorBase(unsafe_borrow_t, const TensorBase &rhs) | at::TensorBase | inlineexplicitprotected |
| TensorBase()=default | at::TensorBase | |
| TensorBase(c10::intrusive_ptr< TensorImpl, UndefinedTensorImpl > tensor_impl) | at::TensorBase | inlineexplicit |
| TensorBase(const TensorBase &)=default | at::TensorBase | |
| TensorBase(TensorBase &&)=default | at::TensorBase | |
| tile(at::IntArrayRef dims) const | at::Tensor | inline |
| to(at::TensorOptions options={}, bool non_blocking=false, bool copy=false, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| to(c10::optional< at::ScalarType > dtype, c10::optional< at::Layout > layout, c10::optional< at::Device > device, c10::optional< bool > pin_memory, bool non_blocking, bool copy, c10::optional< at::MemoryFormat > memory_format) const | at::Tensor | inline |
| to(at::Device device, at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| to(at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| to(const at::Tensor &other, bool non_blocking=false, bool copy=false, c10::optional< at::MemoryFormat > memory_format=c10::nullopt) const | at::Tensor | inline |
| to(caffe2::TypeMeta type_meta, bool non_blocking=false, bool copy=false) const | at::Tensor | inline |
| to(Device device, caffe2::TypeMeta type_meta, bool non_blocking=false, bool copy=false) const | at::Tensor | inline |
| to_dense(c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| to_mkldnn(c10::optional< at::ScalarType > dtype=c10::nullopt) const | at::Tensor | inline |
| to_padded_tensor(double padding, at::OptionalIntArrayRef output_size=c10::nullopt) const | at::Tensor | inline |
| to_padded_tensor_symint(double padding, at::OptionalSymIntArrayRef output_size=c10::nullopt) const | at::Tensor | inline |
| to_sparse(int64_t sparse_dim) const | at::Tensor | inline |
| to_sparse(c10::optional< at::Layout > layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional< int64_t > dense_dim=c10::nullopt) const | at::Tensor | inline |
| to_sparse_bsc(at::IntArrayRef blocksize, c10::optional< int64_t > dense_dim=c10::nullopt) const | at::Tensor | inline |
| to_sparse_bsr(at::IntArrayRef blocksize, c10::optional< int64_t > dense_dim=c10::nullopt) const | at::Tensor | inline |
| to_sparse_csc(c10::optional< int64_t > dense_dim=c10::nullopt) const | at::Tensor | inline |
| to_sparse_csr(c10::optional< int64_t > dense_dim=c10::nullopt) const | at::Tensor | inline |
| toBackend(Backend b) const | at::Tensor | inline |
| topk(int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) const | at::Tensor | inline |
| toString() const | at::TensorBase | |
| toType(ScalarType t) const | at::Tensor | inline |
| trace() const | at::Tensor | inline |
| transpose(int64_t dim0, int64_t dim1) const | at::Tensor | inline |
| transpose(at::Dimname dim0, at::Dimname dim1) const | at::Tensor | inline |
| transpose_(int64_t dim0, int64_t dim1) const | at::Tensor | inline |
| triangular_solve(const at::Tensor &A, bool upper=true, bool transpose=false, bool unitriangular=false) const | at::Tensor | inline |
| tril(int64_t diagonal=0) const | at::Tensor | inline |
| tril_(int64_t diagonal=0) const | at::Tensor | inline |
| triu(int64_t diagonal=0) const | at::Tensor | inline |
| triu_(int64_t diagonal=0) const | at::Tensor | inline |
| true_divide(const at::Tensor &other) const | at::Tensor | inline |
| true_divide(const at::Scalar &other) const | at::Tensor | inline |
| true_divide_(const at::Tensor &other) const | at::Tensor | inline |
| true_divide_(const at::Scalar &other) const | at::Tensor | inline |
| trunc() const | at::Tensor | inline |
| trunc_() const | at::Tensor | inline |
| type_as(const at::Tensor &other) const | at::Tensor | inline |
| unbind(int64_t dim=0) const | at::Tensor | inline |
| unbind(at::Dimname dim) const | at::Tensor | inline |
| unflatten(int64_t dim, at::IntArrayRef sizes) const | at::Tensor | inline |
| unflatten(at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) const | at::Tensor | inline |
| unfold(int64_t dimension, int64_t size, int64_t step) const | at::Tensor | inline |
| uniform_(double from=0, double to=1, c10::optional< at::Generator > generator=c10::nullopt) const | at::Tensor | inline |
| unsafe_chunk(int64_t chunks, int64_t dim=0) const | at::Tensor | inline |
| unsafe_split(int64_t split_size, int64_t dim=0) const | at::Tensor | inline |
| unsafe_split_symint(c10::SymInt split_size, int64_t dim=0) const | at::Tensor | inline |
| unsafe_split_with_sizes(at::IntArrayRef split_sizes, int64_t dim=0) const | at::Tensor | inline |
| unsafe_split_with_sizes_symint(c10::SymIntArrayRef split_sizes, int64_t dim=0) const | at::Tensor | inline |
| unsafeGetTensorImpl() const | at::TensorBase | inline |
| unsafeReleaseIntrusivePtr() | at::TensorBase | inline |
| unsafeReleaseTensorImpl() | at::TensorBase | inline |
| unsqueeze(int64_t dim) const | at::Tensor | inline |
| unsqueeze_(int64_t dim) const | at::Tensor | inline |
| use_count() const noexcept | at::TensorBase | inline |
| values() const | at::Tensor | inline |
| var(bool unbiased) const | at::Tensor | inline |
| var(at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) const | at::Tensor | inline |
| var(at::OptionalIntArrayRef dim=c10::nullopt, c10::optional< int64_t > correction=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| var(at::DimnameList dim, bool unbiased, bool keepdim=false) const | at::Tensor | inline |
| var(at::DimnameList dim, c10::optional< int64_t > correction=c10::nullopt, bool keepdim=false) const | at::Tensor | inline |
| var(int dim) const | at::Tensor | inline |
| variable_data() const | at::Tensor | inline |
| vdot(const at::Tensor &other) const | at::Tensor | inline |
| ve() const | at::Tensor | inline |
| view(at::IntArrayRef size) const | at::Tensor | inline |
| view(at::ScalarType dtype) const | at::Tensor | inline |
| view_as(const at::Tensor &other) const | at::Tensor | inline |
| view_symint(c10::SymIntArrayRef size) const | at::Tensor | inline |
| vsplit(int64_t sections) const | at::Tensor | inline |
| vsplit(at::IntArrayRef indices) const | at::Tensor | inline |
| vulkan() const | at::Tensor | inline |
| weak_use_count() const noexcept | at::TensorBase | inline |
| where(const at::Tensor &condition, const at::Tensor &other) const | at::Tensor | inline |
| where(const at::Tensor &condition, const at::Scalar &other) const | at::Tensor | inline |
| wrap_tensor_impl(c10::intrusive_ptr< TensorImpl, UndefinedTensorImpl > tensor_impl) | at::Tensor | inlinestatic |
| xlogy(const at::Tensor &other) const | at::Tensor | inline |
| xlogy(const at::Scalar &other) const | at::Tensor | inline |
| xlogy_(const at::Tensor &other) const | at::Tensor | inline |
| xlogy_(const at::Scalar &other) const | at::Tensor | inline |
| zero_() const | at::Tensor | inline |