static Tensor |
torch.batch_norm(Tensor input,
Tensor running_mean,
Tensor running_var,
Tensor weight,
Tensor bias,
boolean training,
DoubleOptional momentum,
double eps)
Options for the BatchNorm3d module.
|
static Tensor |
torch.embedding_bag(Tensor input,
Tensor weight,
Tensor offsets,
DoubleOptional max_norm,
double norm_type,
boolean scale_grad_by_freq,
EmbeddingBagMode mode,
boolean sparse,
Tensor per_sample_weights,
boolean include_last_offset,
LongOptional padding_idx) |
static Tensor |
torch.embedding(Tensor input,
Tensor weight,
LongOptional padding_idx,
DoubleOptional max_norm,
double norm_type,
boolean scale_grad_by_freq,
boolean sparse) |
static T_TensorTensorTensorTensor_T |
torch.linalg_lstsq_out(Tensor solution,
Tensor residuals,
Tensor rank,
Tensor singular_values,
Tensor self,
Tensor b,
DoubleOptional rcond,
StringViewOptional driver) |
static T_TensorTensorTensorTensor_T |
torch.linalg_lstsq_outf(Tensor self,
Tensor b,
DoubleOptional rcond,
StringViewOptional driver,
Tensor solution,
Tensor residuals,
Tensor rank,
Tensor singular_values) |
static T_TensorTensorTensorTensor_T |
torch.linalg_lstsq(Tensor self,
Tensor b,
DoubleOptional rcond,
StringViewOptional driver) |
static Tensor |
torch.linalg_matrix_rank_out(Tensor out,
Tensor self,
DoubleOptional atol,
DoubleOptional rtol) |
static Tensor |
torch.linalg_matrix_rank_out(Tensor out,
Tensor self,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian) |
static Tensor |
torch.linalg_matrix_rank_outf(Tensor self,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian,
Tensor out) |
static Tensor |
torch.linalg_matrix_rank(Tensor self,
DoubleOptional atol,
DoubleOptional rtol) |
static Tensor |
torch.linalg_matrix_rank(Tensor self,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian) |
static Tensor |
torch.linalg_pinv_out(Tensor out,
Tensor self,
DoubleOptional atol,
DoubleOptional rtol) |
static Tensor |
torch.linalg_pinv_out(Tensor out,
Tensor self,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian) |
static Tensor |
torch.linalg_pinv_outf(Tensor self,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian,
Tensor out) |
static Tensor |
torch.linalg_pinv(Tensor self,
DoubleOptional atol,
DoubleOptional rtol) |
static Tensor |
torch.linalg_pinv(Tensor self,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian) |
static Tensor |
torch.logit_(Tensor self,
DoubleOptional eps) |
static Tensor |
torch.logit_backward_out(Tensor grad_input,
Tensor grad_output,
Tensor self,
DoubleOptional eps) |
static Tensor |
torch.logit_backward_outf(Tensor grad_output,
Tensor self,
DoubleOptional eps,
Tensor grad_input) |
static Tensor |
torch.logit_backward(Tensor grad_output,
Tensor self,
DoubleOptional eps) |
static Tensor |
torch.logit_out(Tensor out,
Tensor self,
DoubleOptional eps) |
static Tensor |
torch.logit_outf(Tensor self,
DoubleOptional eps,
Tensor out) |
static Tensor |
torch.logit(Tensor self,
DoubleOptional eps) |
static T_TensorTensorTensorTensor_T |
torch.lstsq(Tensor self,
Tensor b,
DoubleOptional cond,
StringViewOptional driver) |
static Tensor |
torch.matrix_rank_out(Tensor result,
Tensor input,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian) |
static Tensor |
torch.matrix_rank(Tensor input,
DoubleOptional atol,
DoubleOptional rtol,
boolean hermitian) |
static Tensor |
torch.nan_to_num_(Tensor self,
DoubleOptional nan,
DoubleOptional posinf,
DoubleOptional neginf) |
static Tensor |
torch.nan_to_num_out(Tensor out,
Tensor self,
DoubleOptional nan,
DoubleOptional posinf,
DoubleOptional neginf) |
static Tensor |
torch.nan_to_num_outf(Tensor self,
DoubleOptional nan,
DoubleOptional posinf,
DoubleOptional neginf,
Tensor out) |
static Tensor |
torch.nan_to_num(Tensor self,
DoubleOptional nan,
DoubleOptional posinf,
DoubleOptional neginf) |
static Tensor |
torch.pad_symint(Tensor self,
SymIntArrayRef pad,
BytePointer mode,
DoubleOptional value) |
static Tensor |
torch.pad_symint(Tensor self,
SymIntArrayRef pad,
String mode,
DoubleOptional value) |
static Tensor |
torch.pad(Tensor self,
long[] pad,
String mode,
DoubleOptional value) |
static Tensor |
torch.pad(Tensor self,
LongArrayRef pad,
BytePointer mode,
DoubleOptional value) |
static Tensor |
torch.scaled_dot_product_attention(Tensor query,
Tensor key,
Tensor value,
TensorOptional attn_mask,
double dropout_p,
boolean is_causal,
DoubleOptional scale) |
static Tensor |
torch.special_logit_out(Tensor out,
Tensor self,
DoubleOptional eps) |
static Tensor |
torch.special_logit_outf(Tensor self,
DoubleOptional eps,
Tensor out) |
static Tensor |
torch.special_logit(Tensor self,
DoubleOptional eps) |
static Tensor |
torch.upsample_bicubic2d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_bicubic2d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_bicubic2d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_bicubic2d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_out(Tensor out,
Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_outf(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_bicubic2d_outf(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_bicubic2d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d_symint_outf(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_bicubic2d_symint(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bicubic2d(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_bilinear2d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_bilinear2d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_bilinear2d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_out(Tensor out,
Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_outf(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_bilinear2d_outf(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_bilinear2d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d_symint_outf(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_bilinear2d_symint(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_bilinear2d(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_linear1d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales,
Tensor grad_input) |
static Tensor |
torch.upsample_linear1d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales,
Tensor grad_input) |
static Tensor |
torch.upsample_linear1d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales,
Tensor grad_input) |
static Tensor |
torch.upsample_linear1d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_out(Tensor out,
Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_outf(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales,
Tensor out) |
static Tensor |
torch.upsample_linear1d_outf(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales,
Tensor out) |
static Tensor |
torch.upsample_linear1d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d_symint_outf(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales,
Tensor out) |
static Tensor |
torch.upsample_linear1d_symint(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_linear1d(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest1d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest1d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest1d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_out(Tensor out,
Tensor self,
long[] output_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_outf(Tensor self,
long[] output_size,
DoubleOptional scales,
Tensor out) |
static Tensor |
torch.upsample_nearest1d_outf(Tensor self,
LongArrayRef output_size,
DoubleOptional scales,
Tensor out) |
static Tensor |
torch.upsample_nearest1d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d_symint_outf(Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales,
Tensor out) |
static Tensor |
torch.upsample_nearest1d_symint(Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d(Tensor self,
long[] output_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest1d(Tensor self,
LongArrayRef output_size,
DoubleOptional scales) |
static Tensor |
torch.upsample_nearest2d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest2d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest2d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest2d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_out(Tensor out,
Tensor self,
long[] output_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_outf(Tensor self,
long[] output_size,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_nearest2d_outf(Tensor self,
LongArrayRef output_size,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_nearest2d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d_symint_outf(Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_nearest2d_symint(Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d(Tensor self,
long[] output_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest2d(Tensor self,
LongArrayRef output_size,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest3d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest3d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_nearest3d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_out(Tensor out,
Tensor self,
long[] output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_outf(Tensor self,
long[] output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_nearest3d_outf(Tensor self,
LongArrayRef output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_nearest3d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d_symint_outf(Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_nearest3d_symint(Tensor self,
SymIntArrayRef output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d(Tensor self,
long[] output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_nearest3d(Tensor self,
LongArrayRef output_size,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_backward_out(Tensor grad_input,
Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_backward_out(Tensor grad_input,
Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_backward_outf(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_trilinear3d_backward_outf(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_trilinear3d_backward_symint_out(Tensor grad_input,
Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_backward_symint_outf(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor grad_input) |
static Tensor |
torch.upsample_trilinear3d_backward_symint(Tensor grad_output,
SymIntArrayRef output_size,
SymIntArrayRef input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_backward(Tensor grad_output,
long[] output_size,
long[] input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_backward(Tensor grad_output,
LongArrayRef output_size,
LongArrayRef input_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_out(Tensor out,
Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_out(Tensor out,
Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_outf(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_trilinear3d_outf(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_trilinear3d_symint_out(Tensor out,
Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d_symint_outf(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w,
Tensor out) |
static Tensor |
torch.upsample_trilinear3d_symint(Tensor self,
SymIntArrayRef output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d(Tensor self,
long[] output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |
static Tensor |
torch.upsample_trilinear3d(Tensor self,
LongArrayRef output_size,
boolean align_corners,
DoubleOptional scales_d,
DoubleOptional scales_h,
DoubleOptional scales_w) |