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 |