static T_TensorTensorTensor_T |
torch.convolution_backward_out(Tensor out0,
Tensor out1,
Tensor out2,
Tensor grad_output,
Tensor input,
Tensor weight,
LongArrayRefOptional bias_sizes,
LongArrayRef stride,
LongArrayRef padding,
LongArrayRef dilation,
boolean transposed,
LongArrayRef output_padding,
long groups,
BoolPointer output_mask) |
static T_TensorTensorTensor_T |
torch.convolution_backward_outf(Tensor grad_output,
Tensor input,
Tensor weight,
LongArrayRefOptional bias_sizes,
LongArrayRef stride,
LongArrayRef padding,
LongArrayRef dilation,
boolean transposed,
LongArrayRef output_padding,
long groups,
BoolPointer output_mask,
Tensor out0,
Tensor out1,
Tensor out2) |
static T_TensorTensorTensor_T |
torch.convolution_backward(Tensor grad_output,
Tensor input,
Tensor weight,
LongArrayRefOptional bias_sizes,
LongArrayRef stride,
LongArrayRef padding,
LongArrayRef dilation,
boolean transposed,
LongArrayRef output_padding,
long groups,
BoolPointer output_mask) |
static Tensor |
torch.einsum(BytePointer equation,
TensorArrayRef tensors,
LongArrayRefOptional path) |
static Tensor |
torch.fft_fft2_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fft2_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_fft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fftn_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fftn_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_fftn_symint_out(Tensor out,
Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fftn_symint_outf(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_fftn_symint(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fftshift(Tensor self,
LongArrayRefOptional dim) |
static Tensor |
torch.fft_hfft2_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfft2_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_hfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfftn_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfftn_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_hfftn_symint_out(Tensor out,
Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfftn_symint_outf(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_hfftn_symint(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifft2_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifft2_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ifft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifftn_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifftn_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ifftn_symint_out(Tensor out,
Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifftn_symint_outf(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ifftn_symint(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifftshift(Tensor self,
LongArrayRefOptional dim) |
static Tensor |
torch.fft_ihfft2_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfft2_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ihfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfftn_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfftn_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ihfftn_symint_out(Tensor out,
Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfftn_symint_outf(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ihfftn_symint(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfft2_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfft2_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_irfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfftn_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfftn_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_irfftn_symint_out(Tensor out,
Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfftn_symint_outf(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_irfftn_symint(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfft2_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfft2_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_rfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfftn_out(Tensor out,
Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfftn_outf(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_rfftn_symint_out(Tensor out,
Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfftn_symint_outf(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_rfftn_symint(Tensor self,
SymIntArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm) |
static Tensor |
torch.fft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the 2-dimensional fast Fourier transform over the given dimensions.
|
static Tensor |
torch.fftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm)
Computes the N dimensional fast Fourier transform over given dimensions.
|
static Tensor |
torch.fftshift(Tensor x,
LongArrayRefOptional dim)
Reorders n-dimensional FFT output to have negative frequency terms first, by
a torch.roll operation.
|
static Tensor |
torch.hfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the 2-dimensional FFT of a Hermitian symmetric input signal.
|
static Tensor |
torch.hfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the N-dimensional FFT of a Hermitian symmetric input signal.
|
static Tensor |
torch.ifft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the inverse of torch.fft.fft2
See https://pytorch.org/docs/master/fft.html#torch.fft.ifft2.
|
static Tensor |
torch.ifftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm)
Computes the N dimensional fast Fourier transform over given dimensions.
|
static Tensor |
torch.ifftshift(Tensor x,
LongArrayRefOptional dim)
Inverse of torch.fft.fftshift
See https://pytorch.org/docs/master/fft.html#torch.fft.ifftshift
Example:
|
static Tensor |
torch.ihfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the 2-dimensional IFFT of a real input signal.
|
static Tensor |
torch.ihfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the N-dimensional IFFT of a real input signal.
|
static Tensor |
torch.irfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the inverse of torch.fft.rfft2.
|
static Tensor |
torch.irfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm)
Computes the inverse of torch.fft.rfftn.
|
static Tensor |
torch.linalg_norm_out(Tensor out,
Tensor self,
BytePointer ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm_out(Tensor out,
Tensor self,
ScalarOptional ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm_outf(Tensor self,
BytePointer ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_norm_outf(Tensor self,
ScalarOptional ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_norm(Tensor self,
BytePointer ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_norm(Tensor self,
ScalarOptional ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_tensorsolve_out(Tensor out,
Tensor self,
Tensor other,
LongArrayRefOptional dims) |
static Tensor |
torch.linalg_tensorsolve_outf(Tensor self,
Tensor other,
LongArrayRefOptional dims,
Tensor out) |
static Tensor |
torch.linalg_tensorsolve(Tensor self,
Tensor other,
LongArrayRefOptional dims) |
static Tensor |
torch.linalg_vector_norm_out(Tensor out,
Tensor self,
Scalar ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.linalg_vector_norm_outf(Tensor self,
Scalar ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.linalg_vector_norm(Tensor self,
Scalar ord,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.mean_out(Tensor out,
Tensor self,
LongArrayRefOptional dim) |
static Tensor |
torch.mean_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.mean_outf(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.mean(Tensor self,
LongArrayRefOptional dim) |
static Tensor |
torch.mean(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.mkldnn_reorder_conv2d_weight_out(Tensor out,
Tensor self,
LongArrayRef padding,
LongArrayRef stride,
LongArrayRef dilation,
long groups,
LongArrayRefOptional input_size) |
static Tensor |
torch.mkldnn_reorder_conv2d_weight_outf(Tensor self,
LongArrayRef padding,
LongArrayRef stride,
LongArrayRef dilation,
long groups,
LongArrayRefOptional input_size,
Tensor out) |
static Tensor |
torch.mkldnn_reorder_conv2d_weight(Tensor self,
LongArrayRef padding,
LongArrayRef stride,
LongArrayRef dilation,
long groups,
LongArrayRefOptional input_size) |
static Tensor |
torch.nanmean_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.nanmean_outf(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.nanmean(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.nansum_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.nansum_outf(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.nansum(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.nested_to_padded_tensor(Tensor self,
double padding,
LongArrayRefOptional output_size) |
static Tensor |
torch.norm_out(Tensor result,
Tensor self,
BytePointer ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.norm_out(Tensor result,
Tensor self,
ScalarOptional opt_ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.norm(Tensor self,
BytePointer ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.norm(Tensor self,
ScalarOptional opt_ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.rfft2(Tensor self,
LongArrayRefOptional s,
LongArrayRef dim,
StringViewOptional norm)
Computes the 2-dimensional FFT of real input.
|
static Tensor |
torch.rfftn(Tensor self,
LongArrayRefOptional s,
LongArrayRefOptional dim,
StringViewOptional norm)
Computes the N dimensional FFT of real input with onesided Hermitian output.
|
static T_TensorTensor_T |
torch.std_mean_out(Tensor out0,
Tensor out1,
Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static T_TensorTensor_T |
torch.std_mean_outf(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim,
Tensor out0,
Tensor out1) |
static T_TensorTensor_T |
torch.std_mean(Tensor self,
LongArrayRefOptional dim,
boolean unbiased) |
static T_TensorTensor_T |
torch.std_mean(Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim) |
static T_TensorTensor_T |
torch.std_mean(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static Tensor |
torch.std_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean unbiased) |
static Tensor |
torch.std_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim) |
static Tensor |
torch.std_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static Tensor |
torch.std_outf(Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim,
Tensor out) |
static Tensor |
torch.std_outf(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim,
Tensor out) |
static Tensor |
torch.std(Tensor self,
LongArrayRefOptional dim,
boolean unbiased) |
static Tensor |
torch.std(Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim) |
static Tensor |
torch.std(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static Tensor |
torch.sum_out(Tensor out,
Tensor self,
LongArrayRefOptional dim) |
static Tensor |
torch.sum_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.sum_outf(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype,
Tensor out) |
static Tensor |
torch.sum(Tensor self,
LongArrayRefOptional dim) |
static Tensor |
torch.sum(Tensor self,
LongArrayRefOptional dim,
boolean keepdim,
ScalarTypeOptional dtype) |
static Tensor |
torch.tensorsolve_out(Tensor result,
Tensor self,
Tensor other,
LongArrayRefOptional dims) |
static Tensor |
torch.tensorsolve(Tensor self,
Tensor other,
LongArrayRefOptional dims) |
static Tensor |
torch.to_padded_tensor_out(Tensor out,
Tensor self,
double padding,
LongArrayRefOptional output_size) |
static Tensor |
torch.to_padded_tensor_outf(Tensor self,
double padding,
LongArrayRefOptional output_size,
Tensor out) |
static Tensor |
torch.to_padded_tensor(Tensor self,
double padding,
LongArrayRefOptional output_size)
Nested to padded tensor
See
https://pytorch.org/docs/master/nested.html#torch.nested.to_padded_tensor
|
static Tensor |
torch.upsample_bicubic2d(Tensor input,
LongArrayRefOptional output_size,
boolean align_corners,
DoubleArrayRefOptional scale_factors) |
static Tensor |
torch.upsample_bilinear2d(Tensor input,
LongArrayRefOptional output_size,
boolean align_corners,
DoubleArrayRefOptional scale_factors) |
static Tensor |
torch.upsample_linear1d(Tensor input,
LongArrayRefOptional output_size,
boolean align_corners,
DoubleArrayRefOptional scale_factors) |
static Tensor |
torch.upsample_nearest1d(Tensor input,
LongArrayRefOptional output_size,
DoubleArrayRefOptional scale_factors) |
static Tensor |
torch.upsample_nearest2d(Tensor input,
LongArrayRefOptional output_size,
DoubleArrayRefOptional scale_factors) |
static Tensor |
torch.upsample_nearest3d(Tensor input,
LongArrayRefOptional output_size,
DoubleArrayRefOptional scale_factors) |
static Tensor |
torch.upsample_trilinear3d(Tensor input,
LongArrayRefOptional output_size,
boolean align_corners,
DoubleArrayRefOptional scale_factors) |
static T_TensorTensor_T |
torch.var_mean_out(Tensor out0,
Tensor out1,
Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static T_TensorTensor_T |
torch.var_mean_outf(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim,
Tensor out0,
Tensor out1) |
static T_TensorTensor_T |
torch.var_mean(Tensor self,
LongArrayRefOptional dim,
boolean unbiased) |
static T_TensorTensor_T |
torch.var_mean(Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim) |
static T_TensorTensor_T |
torch.var_mean(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static Tensor |
torch.var_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean unbiased) |
static Tensor |
torch.var_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim) |
static Tensor |
torch.var_out(Tensor out,
Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static Tensor |
torch.var_outf(Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim,
Tensor out) |
static Tensor |
torch.var_outf(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim,
Tensor out) |
static Tensor |
torch.var(Tensor self,
LongArrayRefOptional dim,
boolean unbiased) |
static Tensor |
torch.var(Tensor self,
LongArrayRefOptional dim,
boolean unbiased,
boolean keepdim) |
static Tensor |
torch.var(Tensor self,
LongArrayRefOptional dim,
ScalarOptional correction,
boolean keepdim) |
static Tensor |
torch.vector_norm_out(Tensor result,
Tensor self,
Scalar ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |
static Tensor |
torch.vector_norm(Tensor self,
Scalar ord,
LongArrayRefOptional opt_dim,
boolean keepdim,
ScalarTypeOptional opt_dtype) |