# Copyright 2020 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
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"""Functions for computing a scalar objective from a loss curve."""
import jax.numpy as jnp
[docs]def nanmin(fs):
"""Computes the NaN-aware minimum over the loss curve."""
return jnp.nanmin(fs[1:]) / fs[0]
[docs]def final(fs):
"""Returns the final loss value."""
return fs[-1] / fs[0]
[docs]def mean(fs):
"""Returns the average over the loss values."""
return jnp.mean(fs) / fs[0]