hand

venv/lib/python3.12/site-packages/jax/nn/__init__.py

@@ -0,0 +1,57 @@
+# Copyright 2019 The JAX Authors.
+#
+# 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.
+
+"""Common functions for neural network libraries."""
+
+# Note: import <name> as <name> is required for names to be exported.
+# See PEP 484 & https://github.com/jax-ml/jax/issues/7570
+
+from jax.numpy import tanh as tanh
+from jax.nn import initializers as initializers
+from jax._src.nn.functions import (
+  celu as celu,
+  elu as elu,
+  gelu as gelu,
+  glu as glu,
+  hard_sigmoid as hard_sigmoid,
+  hard_silu as hard_silu,
+  hard_swish as hard_swish,
+  hard_tanh as hard_tanh,
+  leaky_relu as leaky_relu,
+  log_sigmoid as log_sigmoid,
+  log_softmax as log_softmax,
+  logmeanexp as logmeanexp,
+  logsumexp as logsumexp,
+  standardize as standardize,
+  one_hot as one_hot,
+  relu as relu,
+  identity as identity,
+  relu6 as relu6,
+  dot_product_attention as dot_product_attention,
+  get_scaled_dot_general_config as get_scaled_dot_general_config,
+  scaled_dot_general as scaled_dot_general,
+  scaled_matmul as scaled_matmul,
+  selu as selu,
+  sigmoid as sigmoid,
+  soft_sign as soft_sign,
+  softmax as softmax,
+  softplus as softplus,
+  sparse_plus as sparse_plus,
+  sparse_sigmoid as sparse_sigmoid,
+  silu as silu,
+  swish as swish,
+  squareplus as squareplus,
+  mish as mish,
+  log1mexp as log1mexp,
+)