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_abs.py
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_abs.py
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# Copyright 2019 The FastEstimator 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.
# ==============================================================================
import numpy as np
import tensorflow as tf
import torch
from fastestimator.types import ArrayT
def abs(tensor: ArrayT) -> ArrayT:
"""Compute the absolute value of a tensor.
This method can be used with Numpy data:
```python
n = np.array([-2, 7, -19])
b = fe.backend.abs(n) # [2, 7, 19]
```
This method can be used with TensorFlow tensors:
```python
t = tf.constant([-2, 7, -19])
b = fe.backend.abs(t) # [2, 7, 19]
```
This method can be used with PyTorch tensors:
```python
p = torch.tensor([-2, 7, -19])
b = fe.backend.abs(p) # [2, 7, 19]
```
Args:
tensor: The input value.
Returns:
The absolute value of `tensor`.
Raises:
ValueError: If `tensor` is an unacceptable data type.
"""
if tf.is_tensor(tensor):
return tf.abs(tensor)
elif isinstance(tensor, torch.Tensor):
return torch.abs(tensor)
elif isinstance(tensor, np.ndarray):
return np.abs(tensor)
else:
raise ValueError("Unrecognized tensor type {}".format(type(tensor)))