/
types.py
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/
types.py
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# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# ==============================================================================
"""Types for typing functions signatures."""
from typing import Union, Callable, List
import numpy as np
import tensorflow as tf
# TODO: Remove once https://github.com/tensorflow/tensorflow/issues/44613 is resolved
from tensorflow.python.keras.engine import keras_tensor
Number = Union[
float,
int,
np.float16,
np.float32,
np.float64,
np.int8,
np.int16,
np.int32,
np.int64,
np.uint8,
np.uint16,
np.uint32,
np.uint64,
]
Initializer = Union[None, dict, str, Callable, tf.keras.initializers.Initializer]
Regularizer = Union[None, dict, str, Callable, tf.keras.regularizers.Regularizer]
Constraint = Union[None, dict, str, Callable, tf.keras.constraints.Constraint]
Activation = Union[None, str, Callable]
Optimizer = Union[tf.keras.optimizers.Optimizer, str]
TensorLike = Union[
List[Union[Number, list]],
tuple,
Number,
np.ndarray,
tf.Tensor,
tf.SparseTensor,
tf.Variable,
keras_tensor.KerasTensor,
]
FloatTensorLike = Union[tf.Tensor, float, np.float16, np.float32, np.float64]
AcceptableDTypes = Union[tf.DType, np.dtype, type, int, str, None]