Package | Description |
---|---|
org.bytedeco.pytorch | |
org.bytedeco.pytorch.global |
Modifier and Type | Method and Description |
---|---|
Dimname |
DimnameArrayRef.at(long Index)
Vector compatibility
|
Dimname |
DimnameArrayRef.back()
back - Get the last element.
|
Dimname |
DimnameVector.back() |
Dimname |
DimnameArrayRef.begin()
\}
\name Simple Operations
\{
|
Dimname |
DimnameArrayRef.cbegin() |
Dimname |
DimnameArrayRef.cend() |
Dimname |
DimnameArrayRef.data() |
Dimname |
DimnameArrayRef.end() |
static Dimname |
Dimname.fromSymbol(Symbol name) |
Dimname |
DimnameArrayRef.front()
front - Get the first element.
|
Dimname |
DimnameVector.front() |
Dimname |
DimnameOptional.get() |
Dimname |
DimnameVector.Iterator.get() |
Dimname |
DimnameArrayRef.get(long Index)
\}
\name Operator Overloads
\{
|
Dimname |
DimnameVector.get(long i) |
Dimname |
TensorName.toDimname() |
Dimname |
IValue.toDimname() |
static Dimname |
Dimname.wildcard() |
Constructor and Description |
---|
DimnameArrayRef(Dimname begin,
Dimname end)
Construct an ArrayRef from a range.
|
DimnameArrayRef(Dimname data,
long length)
Construct an ArrayRef from a pointer and length.
|
DimnameOptional(Dimname value) |
IValue(Dimname dimname) |
Modifier and Type | Method and Description |
---|---|
static Tensor |
torch.all_out(Tensor out,
Tensor self,
Dimname dim) |
static Tensor |
torch.all_out(Tensor out,
Tensor self,
Dimname dim,
boolean keepdim) |
static Tensor |
torch.all_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor out) |
static Tensor |
torch.all(Tensor self,
Dimname dim) |
static Tensor |
torch.all(Tensor self,
Dimname dim,
boolean keepdim) |
static Tensor |
torch.any_out(Tensor out,
Tensor self,
Dimname dim) |
static Tensor |
torch.any_out(Tensor out,
Tensor self,
Dimname dim,
boolean keepdim) |
static Tensor |
torch.any_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor out) |
static Tensor |
torch.any(Tensor self,
Dimname dim) |
static Tensor |
torch.any(Tensor self,
Dimname dim,
boolean keepdim) |
static Tensor |
torch.argsort(Tensor self,
Dimname dim) |
static Tensor |
torch.argsort(Tensor self,
Dimname dim,
boolean descending) |
static Tensor |
torch.cat_out(Tensor out,
TensorArrayRef tensors,
Dimname dim) |
static Tensor |
torch.cat_out(Tensor out,
TensorVector tensors,
Dimname dim) |
static Tensor |
torch.cat_outf(TensorArrayRef tensors,
Dimname dim,
Tensor out) |
static Tensor |
torch.cat_outf(TensorVector tensors,
Dimname dim,
Tensor out) |
static Tensor |
torch.cat(TensorArrayRef tensors,
Dimname dim) |
static Tensor |
torch.cat(TensorVector tensors,
Dimname dim) |
static Tensor |
torch.concat_out(Tensor out,
TensorArrayRef tensors,
Dimname dim) |
static Tensor |
torch.concat_out(Tensor out,
TensorVector tensors,
Dimname dim) |
static Tensor |
torch.concat_outf(TensorArrayRef tensors,
Dimname dim,
Tensor out) |
static Tensor |
torch.concat_outf(TensorVector tensors,
Dimname dim,
Tensor out) |
static Tensor |
torch.concat(TensorArrayRef tensors,
Dimname dim) |
static Tensor |
torch.concat(TensorVector tensors,
Dimname dim) |
static Tensor |
torch.concatenate_out(Tensor out,
TensorArrayRef tensors,
Dimname dim) |
static Tensor |
torch.concatenate_out(Tensor out,
TensorVector tensors,
Dimname dim) |
static Tensor |
torch.concatenate_outf(TensorArrayRef tensors,
Dimname dim,
Tensor out) |
static Tensor |
torch.concatenate_outf(TensorVector tensors,
Dimname dim,
Tensor out) |
static Tensor |
torch.concatenate(TensorArrayRef tensors,
Dimname dim) |
static Tensor |
torch.concatenate(TensorVector tensors,
Dimname dim) |
static T_TensorTensor_T |
torch.cummax_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.cummax_outf(Tensor self,
Dimname dim,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.cummax(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.cummin_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.cummin_outf(Tensor self,
Dimname dim,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.cummin(Tensor self,
Dimname dim) |
static Tensor |
torch.cumprod_out(Tensor out,
Tensor self,
Dimname dim) |
static Tensor |
torch.cumprod_out(Tensor out,
Tensor self,
Dimname dim,
ScalarTypeOptional dtype) |
static Tensor |
torch.cumprod_outf(Tensor self,
Dimname dim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.cumprod(Tensor self,
Dimname dim) |
static Tensor |
torch.cumprod(Tensor self,
Dimname dim,
ScalarTypeOptional dtype) |
static Tensor |
torch.cumsum_out(Tensor out,
Tensor self,
Dimname dim) |
static Tensor |
torch.cumsum_out(Tensor out,
Tensor self,
Dimname dim,
ScalarTypeOptional dtype) |
static Tensor |
torch.cumsum_outf(Tensor self,
Dimname dim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.cumsum(Tensor self,
Dimname dim) |
static Tensor |
torch.cumsum(Tensor self,
Dimname dim,
ScalarTypeOptional dtype) |
static Tensor |
torch.diagonal(Tensor self,
Dimname outdim,
Dimname dim1,
Dimname dim2) |
static Tensor |
torch.diagonal(Tensor self,
Dimname outdim,
Dimname dim1,
Dimname dim2,
long offset) |
static long |
torch.dimname_to_position(Tensor tensor,
Dimname dim) |
static boolean |
torch.equals(Dimname lhs,
Dimname rhs) |
static Tensor |
torch.flatten(Tensor self,
DimnameArrayRef dims,
Dimname out_dim) |
static Tensor |
torch.flatten(Tensor self,
Dimname start_dim,
Dimname end_dim,
Dimname out_dim) |
static Tensor |
torch.flatten(Tensor self,
DimnameVector dims,
Dimname out_dim) |
static Tensor |
torch.flatten(Tensor self,
long start_dim,
long end_dim,
Dimname out_dim) |
static Tensor |
torch.gather_out(Tensor out,
Tensor self,
Dimname dim,
Tensor index) |
static Tensor |
torch.gather_out(Tensor out,
Tensor self,
Dimname dim,
Tensor index,
boolean sparse_grad) |
static Tensor |
torch.gather_outf(Tensor self,
Dimname dim,
Tensor index,
boolean sparse_grad,
Tensor out) |
static Tensor |
torch.gather(Tensor self,
Dimname dim,
Tensor index) |
static Tensor |
torch.gather(Tensor self,
Dimname dim,
Tensor index,
boolean sparse_grad) |
static Tensor |
torch.index_add(Tensor self,
Dimname dim,
Tensor index,
Tensor source) |
static Tensor |
torch.index_add(Tensor self,
Dimname dim,
Tensor index,
Tensor source,
Scalar alpha) |
static Tensor |
torch.index_copy(Tensor self,
Dimname dim,
Tensor index,
Tensor source) |
static Tensor |
torch.index_fill(Tensor self,
Dimname dim,
Tensor index,
Scalar value) |
static Tensor |
torch.index_fill(Tensor self,
Dimname dim,
Tensor index,
Tensor value) |
static Tensor |
torch.index_select_out(Tensor out,
Tensor self,
Dimname dim,
Tensor index) |
static Tensor |
torch.index_select_outf(Tensor self,
Dimname dim,
Tensor index,
Tensor out) |
static Tensor |
torch.index_select(Tensor self,
Dimname dim,
Tensor index) |
static T_TensorTensor_T |
torch.kthvalue_out(Tensor values,
Tensor indices,
Tensor self,
long k,
Dimname dim) |
static T_TensorTensor_T |
torch.kthvalue_out(Tensor values,
Tensor indices,
Tensor self,
long k,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.kthvalue_outf(Tensor self,
long k,
Dimname dim,
boolean keepdim,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.kthvalue(Tensor self,
long k,
Dimname dim) |
static T_TensorTensor_T |
torch.kthvalue(Tensor self,
long k,
Dimname dim,
boolean keepdim) |
static Tensor |
torch.log_softmax(Tensor self,
Dimname dim) |
static Tensor |
torch.log_softmax(Tensor self,
Dimname dim,
ScalarTypeOptional dtype) |
static Tensor |
torch.logcumsumexp_out(Tensor out,
Tensor self,
Dimname dim) |
static Tensor |
torch.logcumsumexp_outf(Tensor self,
Dimname dim,
Tensor out) |
static Tensor |
torch.logcumsumexp(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.max_out(Tensor max,
Tensor max_values,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.max_out(Tensor max,
Tensor max_values,
Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.max_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor max,
Tensor max_values) |
static T_TensorTensor_T |
torch.max(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.max(Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.median_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.median_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.median_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.median(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.median(Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.min_out(Tensor min,
Tensor min_indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.min_out(Tensor min,
Tensor min_indices,
Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.min_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor min,
Tensor min_indices) |
static T_TensorTensor_T |
torch.min(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.min(Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.mode_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.mode_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.mode_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.mode(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.mode(Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.nanmedian_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.nanmedian_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim,
boolean keepdim) |
static T_TensorTensor_T |
torch.nanmedian_outf(Tensor self,
Dimname dim,
boolean keepdim,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.nanmedian(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.nanmedian(Tensor self,
Dimname dim,
boolean keepdim) |
static boolean |
torch.notEquals(Dimname lhs,
Dimname rhs) |
static Tensor |
torch.prod_out(Tensor out,
Tensor self,
Dimname dim) |
static Tensor |
torch.prod_out(Tensor out,
Tensor self,
Dimname dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.prod_outf(Tensor self,
Dimname dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.prod(Tensor self,
Dimname dim) |
static Tensor |
torch.prod(Tensor self,
Dimname dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.scatter_add(Tensor self,
Dimname dim,
Tensor index,
Tensor src) |
static Tensor |
torch.scatter(Tensor self,
Dimname dim,
Tensor index,
Scalar value) |
static Tensor |
torch.scatter(Tensor self,
Dimname dim,
Tensor index,
Tensor src) |
static Tensor |
torch.select(Tensor self,
Dimname dim,
long index) |
static Pointer |
torch.shiftLeft(Pointer out,
Dimname dimname) |
static long |
torch.size(Tensor self,
Dimname dim) |
static Tensor |
torch.softmax(Tensor self,
Dimname dim) |
static Tensor |
torch.softmax(Tensor self,
Dimname dim,
ScalarTypeOptional dtype) |
static T_TensorTensor_T |
torch.sort_out(Tensor values,
Tensor indices,
Tensor self,
BoolOptional stable,
Dimname dim) |
static T_TensorTensor_T |
torch.sort_out(Tensor values,
Tensor indices,
Tensor self,
BoolOptional stable,
Dimname dim,
boolean descending) |
static T_TensorTensor_T |
torch.sort_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.sort_out(Tensor values,
Tensor indices,
Tensor self,
Dimname dim,
boolean descending) |
static T_TensorTensor_T |
torch.sort_outf(Tensor self,
BoolOptional stable,
Dimname dim,
boolean descending,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.sort_outf(Tensor self,
Dimname dim,
boolean descending,
Tensor values,
Tensor indices) |
static T_TensorTensor_T |
torch.sort(Tensor self,
BoolOptional stable,
Dimname dim) |
static T_TensorTensor_T |
torch.sort(Tensor self,
BoolOptional stable,
Dimname dim,
boolean descending) |
static T_TensorTensor_T |
torch.sort(Tensor self,
Dimname dim) |
static T_TensorTensor_T |
torch.sort(Tensor self,
Dimname dim,
boolean descending) |
static Tensor |
torch.squeeze(Tensor self,
Dimname dim) |
static long |
torch.stride(Tensor self,
Dimname dim) |
static Tensor |
torch.transpose(Tensor self,
Dimname dim0,
Dimname dim1) |
static TensorVector |
torch.unbind(Tensor self,
Dimname dim) |
static Tensor |
torch.unflatten_symint(Tensor self,
Dimname dim,
SymIntArrayRef sizes,
DimnameArrayRef names) |
static Tensor |
torch.unflatten_symint(Tensor self,
Dimname dim,
SymIntArrayRef sizes,
DimnameVector names) |
static Tensor |
torch.unflatten(Tensor self,
Dimname dim,
long[] sizes,
DimnameVector names) |
static Tensor |
torch.unflatten(Tensor self,
Dimname dim,
LongArrayRef sizes,
DimnameArrayRef names) |
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