rocm_jax/jax/lax/lax_fft.py
Skye Wanderman-Milne 5d1c014509 Initial FFT support.
This change creates a new fft primitive in lax, and uses it to implement numpy's np.fft.fftn function.

Not-yet-implemented functionality:
- vmap
- 's' argument of fftn
- other numpy np.fft functions

Resolves #505.
2019-05-16 14:37:30 -07:00

49 lines
1.6 KiB
Python

# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from jax.abstract_arrays import ShapedArray
from jax.core import Primitive
from jax.interpreters import xla
from ..interpreters import ad
def fft(x, fft_type, fft_lengths=None):
if fft_lengths is None:
fft_lengths = x.shape
else:
fft_lengths = tuple(fft_lengths)
return fft_p.bind(x, fft_type=fft_type, fft_lengths=fft_lengths)
def fft_impl(x, fft_type, fft_lengths):
return xla.apply_primitive(fft_p, x, fft_type=fft_type, fft_lengths=fft_lengths)
def fft_abstract_eval(x, fft_type, fft_lengths):
return ShapedArray(x.shape, x.dtype)
def fft_translation_rule(c, x, fft_type, fft_lengths):
return c.Fft(x, fft_type, fft_lengths)
def fft_transpose_rule(t, fft_type, fft_lengths):
return fft(t, fft_type, fft_lengths),
fft_p = Primitive('fft')
fft_p.def_impl(fft_impl)
fft_p.def_abstract_eval(fft_abstract_eval)
xla.translations[fft_p] = fft_translation_rule
ad.deflinear(fft_p, fft_transpose_rule)