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[functorch] Purge some licenses

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This commit is contained in:
Richard Zou
2022-02-17 08:50:20 -08:00
committed by Jon Janzen
parent e504faba8b
commit db8cfb0aff
4 changed files with 12 additions and 34 deletions
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4
functorch/examples/ensembling/parallel_train.py
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@ -5,7 +5,9 @@ import torch.nn as nn
import torch.nn.functional as F
from functorch import make_functional, grad_and_value, vmap, combine_state_for_ensemble
# Adapted from http://willwhitney.com/parallel-training-jax.html
# Adapted from http://willwhitney.com/parallel-training-jax.html , which is a
# tutorial on Model Ensembling with JAX by Will Whitney.
#
# The original code comes with the following citation:
# @misc{Whitney2021Parallelizing,
# author = {William F. Whitney},

14
functorch/examples/maml_regression/evjang.py
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@ -1,14 +1,6 @@
# This example code was modified from https://github.com/ericjang/maml-jax .
#
# The original code comes with the following license:
# https://github.com/ericjang/maml-jax/blob/master/LICENSE
# Copyright Eric Jang
# 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
#
# Eric Jang originally wrote an implementation of MAML in JAX
# (https://github.com/ericjang/maml-jax).
# We translated his implementation from JAX to PyTorch.
import matplotlib.pyplot as plt
import math

14
functorch/examples/maml_regression/evjang_transforms.py
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@ -1,14 +1,6 @@
# This example code was modified from https://github.com/ericjang/maml-jax .
#
# The original code comes with the following license:
# https://github.com/ericjang/maml-jax/blob/master/LICENSE
# Copyright Eric Jang
# 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
#
# Eric Jang originally wrote an implementation of MAML in JAX
# (https://github.com/ericjang/maml-jax).
# We translated his implementation from JAX to PyTorch.
from functorch import grad, vmap
import matplotlib.pyplot as plt

14
functorch/examples/maml_regression/evjang_transforms_module.py
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@ -1,14 +1,6 @@
# This example code was modified from https://github.com/ericjang/maml-jax .
#
# The original code comes with the following license:
# https://github.com/ericjang/maml-jax/blob/master/LICENSE
# Copyright Eric Jang
# 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
#
# Eric Jang originally wrote an implementation of MAML in JAX
# (https://github.com/ericjang/maml-jax).
# We translated his implementation from JAX to PyTorch.
from functorch import grad, vmap, make_functional
import matplotlib.pyplot as plt