tf.math.log
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Computes natural logarithm of x element-wise.
tf.math.log(
x: Annotated[Any, tf.raw_ops.Any],
name=None
) -> Annotated[Any, tf.raw_ops.Any]
Used in the notebooks
| Used in the guide |
Used in the tutorials |
|
|
|
I.e., \(y = \log_e x\).
Example:
x = tf.constant([0, 0.5, 1, 5])
tf.math.log(x)
<tf.Tensor: shape=(4,), dtype=float32, numpy=array([ -inf, -0.6931472, 0. , 1.609438 ], dtype=float32)>
See: https://en.wikipedia.org/wiki/Logarithm
Args |
|---|
x
|
A Tensor. Must be one of the following types: bfloat16, half, float32, float64, complex64, complex128.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor. Has the same type as x.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.math.log\n\nComputes natural logarithm of x element-wise.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.log`](https://www.tensorflow.org/api_docs/python/tf/math/log)\n\n\u003cbr /\u003e\n\n tf.math.log(\n x: Annotated[Any, ../../tf/raw_ops/Any],\n name=None\n ) -\u003e Annotated[Any, ../../tf/raw_ops/Any]\n\n### Used in the notebooks\n\n| Used in the guide | Used in the tutorials |\n|--------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [Optimizers with Core APIs](https://www.tensorflow.org/guide/core/optimizers_core) | - [Convolutional Variational Autoencoder](https://www.tensorflow.org/tutorials/generative/cvae) - [Playing CartPole with the Actor-Critic method](https://www.tensorflow.org/tutorials/reinforcement_learning/actor_critic) - [Learnable Distributions Zoo](https://www.tensorflow.org/probability/examples/Learnable_Distributions_Zoo) - [Bayesian Modeling with Joint Distribution](https://www.tensorflow.org/probability/examples/Modeling_with_JointDistribution) - [Audio Data Preparation and Augmentation](https://www.tensorflow.org/io/tutorials/audio) |\n\nI.e., \\\\(y = \\\\log_e x\\\\).\n\n#### Example:\n\n x = tf.constant([0, 0.5, 1, 5])\n tf.math.log(x)\n \u003ctf.Tensor: shape=(4,), dtype=float32, numpy=array([ -inf, -0.6931472, 0. , 1.609438 ], dtype=float32)\u003e\n\nSee: \u003chttps://en.wikipedia.org/wiki/Logarithm\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------|----------------------------------------------------------------------------------------------------------------------|\n| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `complex64`, `complex128`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `x`. ||\n\n\u003cbr /\u003e"]]
