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tf.clip_by_value

tf.clip_by_value(
    t,
    clip_value_min,
    clip_value_max,
    name=None
)

Defined in tensorflow/python/ops/clip_ops.py.

See the guide: Training > Gradient Clipping

Clips tensor values to a specified min and max.

Given a tensor t, this operation returns a tensor of the same type and shape as t with its values clipped to clip_value_min and clip_value_max. Any values less than clip_value_min are set to clip_value_min. Any values greater than clip_value_max are set to clip_value_max.

Args:

  • t: A Tensor.
  • clip_value_min: A 0-D (scalar) Tensor, or a Tensor with the same shape as t. The minimum value to clip by.
  • clip_value_max: A 0-D (scalar) Tensor, or a Tensor with the same shape as t. The maximum value to clip by.
  • name: A name for the operation (optional).

Returns:

A clipped Tensor.

Raises:

  • ValueError: if the clip tensors would trigger array broadcasting that would make the returned tensor larger than the input.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/clip_by_value