48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
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# Copyright 2019 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Common functions for neural network libraries."""
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# Note: import <name> as <name> is required for names to be exported.
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# See PEP 484 & https://github.com/google/jax/issues/7570
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from jax.numpy import tanh as tanh
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from jax.nn import initializers as initializers
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from jax._src.nn.functions import (
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celu as celu,
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elu as elu,
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gelu as gelu,
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glu as glu,
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hard_sigmoid as hard_sigmoid,
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hard_silu as hard_silu,
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hard_swish as hard_swish,
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hard_tanh as hard_tanh,
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leaky_relu as leaky_relu,
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log_sigmoid as log_sigmoid,
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log_softmax as log_softmax,
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logsumexp as logsumexp,
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normalize as normalize,
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standardize as standardize,
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one_hot as one_hot,
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relu as relu,
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relu6 as relu6,
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selu as selu,
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sigmoid as sigmoid,
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soft_sign as soft_sign,
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softmax as softmax,
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softplus as softplus,
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silu as silu,
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swish as swish,
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)
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