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7180154 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | # Copyright 2024 DeepMind Technologies Limited.
#
# 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
#
# http://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.
"""Base class for diffusion samplers."""
import abc
from typing import Optional
from . import denoisers_base
import xarray
class Sampler(abc.ABC):
"""A sampling algorithm for a denoising diffusion model.
This is constructed with a denoising function, and uses it to draw samples.
"""
_denoiser: denoisers_base.Denoiser
def __init__(self, denoiser: denoisers_base.Denoiser):
"""Constructs Sampler.
Args:
denoiser: A Denoiser which has been trained with an MSE loss to predict
the noise-free targets.
"""
self._denoiser = denoiser
@abc.abstractmethod
def __call__(
self,
inputs: xarray.Dataset,
targets_template: xarray.Dataset,
forcings: Optional[xarray.Dataset] = None,
**kwargs) -> xarray.Dataset:
"""Draws a sample using self._denoiser. Contract like Predictor.__call__."""
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