static Tensor |
torch.as_strided__symint(Tensor self,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset) |
static Tensor |
torch.as_strided_copy_symint_out(Tensor out,
Tensor self,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset) |
static Tensor |
torch.as_strided_copy_symint_outf(Tensor self,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset,
Tensor out) |
static Tensor |
torch.as_strided_copy_symint(Tensor self,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset) |
static Tensor |
torch.as_strided_scatter_symint_out(Tensor out,
Tensor self,
Tensor src,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset) |
static Tensor |
torch.as_strided_scatter_symint_outf(Tensor self,
Tensor src,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset,
Tensor out) |
static Tensor |
torch.as_strided_scatter_symint(Tensor self,
Tensor src,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset) |
static Tensor |
torch.as_strided_symint(Tensor self,
SymIntArrayRef size,
SymIntArrayRef stride,
SymIntOptional storage_offset) |
static Tensor |
torch.fft_fft_symint_out(Tensor out,
Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_fft_symint_outf(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_fft_symint(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfft_symint_out(Tensor out,
Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_hfft_symint_outf(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_hfft_symint(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifft_symint_out(Tensor out,
Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ifft_symint_outf(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ifft_symint(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfft_symint_out(Tensor out,
Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_ihfft_symint_outf(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_ihfft_symint(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfft_symint_out(Tensor out,
Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_irfft_symint_outf(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_irfft_symint(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfft_symint_out(Tensor out,
Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft_rfft_symint_outf(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm,
Tensor out) |
static Tensor |
torch.fft_rfft_symint(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm) |
static Tensor |
torch.fft(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm)
Computes the 1 dimensional fast Fourier transform over a given dimension.
|
static Tensor |
torch.hfft(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm)
Computes the 1 dimensional FFT of a onesided Hermitian signal
The input represents a Hermitian symmetric time domain signal.
|
static Tensor |
torch.ifft(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm)
Computes the 1 dimensional inverse Fourier transform over a given dimension.
|
static Tensor |
torch.ihfft(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm)
Computes the inverse FFT of a real-valued Fourier domain signal.
|
static Tensor |
torch.irfft(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm)
Computes the inverse of torch.fft.rfft
The input is a onesided Hermitian Fourier domain signal, with real-valued
output.
|
static Tensor |
torch.linalg_vander_symint(Tensor x,
SymIntOptional N) |
static Tensor |
torch.rfft(Tensor self,
SymIntOptional n,
long dim,
StringViewOptional norm)
Computes the 1 dimensional FFT of real input with onesided Hermitian output.
|
static Tensor |
torch.slice_copy_symint_out(Tensor out,
Tensor self,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step) |
static Tensor |
torch.slice_copy_symint_outf(Tensor self,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step,
Tensor out) |
static Tensor |
torch.slice_copy_symint(Tensor self,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step) |
static Tensor |
torch.slice_scatter_symint_out(Tensor out,
Tensor self,
Tensor src,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step) |
static Tensor |
torch.slice_scatter_symint_outf(Tensor self,
Tensor src,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step,
Tensor out) |
static Tensor |
torch.slice_scatter_symint(Tensor self,
Tensor src,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step) |
static Tensor |
torch.slice_symint(Tensor self,
long dim,
SymIntOptional start,
SymIntOptional end,
SymInt step) |