NEML2 1.4.0
|
Create an empty BatchTensor from the input file. More...
Create an empty BatchTensor from the input file.
#include <EmptyBatchTensor.h>
Public Member Functions | |
EmptyBatchTensor (const OptionSet &options) | |
Construct a new EmptyBatchTensor object. | |
Public Member Functions inherited from BatchTensorBase< BatchTensor > | |
BatchTensorBase ()=default | |
Default constructor. | |
BatchTensorBase (const torch::Tensor &tensor, TorchSize batch_dim) | |
Construct from another torch::Tensor. | |
BatchTensorBase (const BatchTensor &tensor) | |
Copy constructor. | |
BatchTensorBase (Real)=delete | |
bool | batched () const |
Whether the tensor is batched. | |
TorchSize | batch_dim () const |
Return the number of batch dimensions. | |
TorchSize & | batch_dim () |
Return a writable reference to the batch dimension. | |
TorchSize | base_dim () const |
Return the number of base dimensions. | |
TorchShapeRef | batch_sizes () const |
Return the batch size. | |
TorchSize | batch_size (TorchSize index) const |
Return the length of some batch axis. | |
TorchShapeRef | base_sizes () const |
Return the base size. | |
TorchSize | base_size (TorchSize index) const |
Return the length of some base axis. | |
TorchSize | base_storage () const |
Return the flattened storage needed just for the base indices. | |
BatchTensor | batch_index (TorchSlice indices) const |
Get a batch. | |
BatchTensor | base_index (const TorchSlice &indices) const |
Return an index sliced on the base dimensions. | |
void | batch_index_put (TorchSlice indices, const torch::Tensor &other) |
Set a index sliced on the batch dimensions to a value. | |
void | base_index_put (const TorchSlice &indices, const torch::Tensor &other) |
Set a index sliced on the base dimensions to a value. | |
BatchTensor | batch_expand (TorchShapeRef batch_size) const |
Return a new view of the tensor with values broadcast along the batch dimensions. | |
BatchTensor | base_expand (TorchShapeRef base_size) const |
Return a new view of the tensor with values broadcast along the base dimensions. | |
BatchTensor | batch_expand_as (const Derived2 &other) const |
Expand the batch to have the same shape as another tensor. | |
Derived2 | base_expand_as (const Derived2 &other) const |
Expand the base to have the same shape as another tensor. | |
BatchTensor | batch_expand_copy (TorchShapeRef batch_size) const |
Return a new tensor with values broadcast along the batch dimensions. | |
BatchTensor | base_expand_copy (TorchShapeRef base_size) const |
Return a new tensor with values broadcast along the base dimensions. | |
BatchTensor | batch_reshape (TorchShapeRef batch_shape) const |
Reshape batch dimensions. | |
BatchTensor | base_reshape (TorchShapeRef base_shape) const |
Reshape base dimensions. | |
BatchTensor | batch_unsqueeze (TorchSize d) const |
Unsqueeze a batch dimension. | |
BatchTensor | list_unsqueeze () const |
Unsqueeze on the special list batch dimension. | |
BatchTensor | base_unsqueeze (TorchSize d) const |
Unsqueeze a base dimension. | |
BatchTensor | batch_transpose (TorchSize d1, TorchSize d2) const |
Transpose two batch dimensions. | |
BatchTensor | base_transpose (TorchSize d1, TorchSize d2) const |
Transpose two base dimensions. | |
BatchTensor | base_movedim (TorchSize d1, TorchSize d2) const |
Move two base dimensions. | |
BatchTensor | clone (torch::MemoryFormat memory_format=torch::MemoryFormat::Contiguous) const |
Clone (take ownership) | |
BatchTensor | detach () const |
Discard function graph. | |
BatchTensor | to (const torch::TensorOptions &options) const |
Send to options. | |
BatchTensor | operator- () const |
Negation. | |
BatchTensor | batch_sum (TorchSize d) const |
Sum on a batch index. | |
BatchTensor | list_sum () const |
Sum on the list index (TODO: replace with class) | |
Public Member Functions inherited from UserTensor | |
UserTensor (const OptionSet &options) | |
Public Member Functions inherited from NEML2Object | |
NEML2Object (const OptionSet &options) | |
Construct a new NEML2Object object. | |
virtual | ~NEML2Object ()=default |
const OptionSet & | input_options () const |
virtual void | setup () |
Setup this object. | |
const std::string & | name () const |
A readonly reference to the object's name. | |
const std::string & | type () const |
A readonly reference to the object's type. | |
const std::string & | path () const |
A readonly reference to the object's path. | |
const std::string & | doc () const |
A readonly reference to the object's docstring. | |
template<typename T = NEML2Object> | |
const T * | host () const |
Get a readonly pointer to the host. | |
template<typename T = NEML2Object> | |
T * | host () |
Get a writable pointer to the host. | |
Static Public Member Functions | |
static OptionSet | expected_options () |
Static Public Member Functions inherited from BatchTensor | |
static BatchTensor | empty (const TorchShapeRef &base_shape, const torch::TensorOptions &options=default_tensor_options()) |
Unbatched empty tensor given base shape. | |
static BatchTensor | empty (const TorchShapeRef &batch_shape, const TorchShapeRef &base_shape, const torch::TensorOptions &options=default_tensor_options()) |
Empty tensor given batch and base shapes. | |
static BatchTensor | zeros (const TorchShapeRef &base_shape, const torch::TensorOptions &options=default_tensor_options()) |
Unbatched tensor filled with zeros given base shape. | |
static BatchTensor | zeros (const TorchShapeRef &batch_shape, const TorchShapeRef &base_shape, const torch::TensorOptions &options=default_tensor_options()) |
Zero tensor given batch and base shapes. | |
static BatchTensor | ones (const TorchShapeRef &base_shape, const torch::TensorOptions &options=default_tensor_options()) |
Unbatched tensor filled with ones given base shape. | |
static BatchTensor | ones (const TorchShapeRef &batch_shape, const TorchShapeRef &base_shape, const torch::TensorOptions &options=default_tensor_options()) |
Unit tensor given batch and base shapes. | |
static BatchTensor | full (const TorchShapeRef &base_shape, Real init, const torch::TensorOptions &options=default_tensor_options()) |
Unbatched tensor filled with a given value given base shape. | |
static BatchTensor | full (const TorchShapeRef &batch_shape, const TorchShapeRef &base_shape, Real init, const torch::TensorOptions &options=default_tensor_options()) |
Full tensor given batch and base shapes. | |
static BatchTensor | identity (TorchSize n, const torch::TensorOptions &options=default_tensor_options()) |
Unbatched identity tensor. | |
static BatchTensor | identity (const TorchShapeRef &batch_shape, TorchSize n, const torch::TensorOptions &options=default_tensor_options()) |
Identity tensor given batch shape and base length. | |
Static Public Member Functions inherited from BatchTensorBase< BatchTensor > | |
static BatchTensor | empty_like (const BatchTensor &other) |
Empty tensor like another, i.e. same batch and base shapes, same tensor options, etc. | |
static BatchTensor | zeros_like (const BatchTensor &other) |
Zero tensor like another, i.e. same batch and base shapes, same tensor options, etc. | |
static BatchTensor | ones_like (const BatchTensor &other) |
Unit tensor like another, i.e. same batch and base shapes, same tensor options, etc. | |
static BatchTensor | full_like (const BatchTensor &other, Real init) |
static BatchTensor | linspace (const BatchTensor &start, const BatchTensor &end, TorchSize nstep, TorchSize dim=0, TorchSize batch_dim=-1) |
Create a new tensor by adding a new batch dimension with linear spacing between start and end . | |
static BatchTensor | logspace (const BatchTensor &start, const BatchTensor &end, TorchSize nstep, TorchSize dim=0, TorchSize batch_dim=-1, Real base=10) |
log-space equivalent of the linspace named constructor | |
Static Public Member Functions inherited from UserTensor | |
static OptionSet | expected_options () |
Static Public Member Functions inherited from NEML2Object | |
static OptionSet | expected_options () |
EmptyBatchTensor | ( | const OptionSet & | options | ) |
Construct a new EmptyBatchTensor object.
options | The options extracted from the input file. |
|
static |