FFT Operators¶
Every op on this page is used the same way: construct it once, then call it. The
constructor takes what the kernel is compiled with; the call takes the tensors.
Both are documented under each op — __init__ and forward, where forward is
what runs when you call op(...).
Complex-to-complex¶
tileops.ops.fft.FFTC2CFwdOp
¶
1D Complex-to-Complex Fast Fourier Transform operation.
Computes the one-dimensional discrete Fourier transform of complex input. This is equivalent to torch.fft.fft.
Supports batched input: any leading dimensions are flattened into a single batch dimension, processed in parallel by the kernel, and reshaped back.
Uses pre-computed twiddle factor LUT and shared-memory butterfly fusion for optimal GPU performance.
__init__
¶
Build the op. Shapes and dtype are taken from the first call.
Parameters:
-
tune(bool, default:False) –Whether to enable autotuning (default: False)
-
kernel_map(Optional[Dict[str, Kernel]], default:None) –Optional custom kernel mapping for testing
forward
¶
Compute 1D FFT of complex input.
Parameters:
-
input(Tensor) –Input tensor of shape (..., n) with complex dtype.
Returns:
-
Tensor–Output tensor of same shape as input with FFT applied along the
-
Tensor–last dimension.