|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/math_ops.py#L2745-L2791) | Computes [`tf.math.multiply`](https://www.tensorflow.org/api_docs/python/tf/math/multiply) of elements across dimensions of a tensor. #### View aliases **Main aliases** [`tf.reduce_prod`](https://www.tensorflow.org/api_docs/python/tf/math/reduce_prod)
tf.math.reduce_prod( input_tensor, axis=None, keepdims=False, name=None ) ### Used in the notebooks | Used in the guide | Used in the tutorials | |---|---| | - [Advanced automatic differentiation](https://www.tensorflow.org/guide/advanced_autodiff) - [Sparse weights using structural pruning](https://www.tensorflow.org/model_optimization/guide/pruning/pruning_with_sparsity_2_by_4) | - [Intro to Autoencoders](https://www.tensorflow.org/tutorials/generative/autoencoder) - [TFP Release Notes notebook (0.12.1)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_12_1) - [TensorFlow Distributions: A Gentle Introduction](https://www.tensorflow.org/probability/examples/TensorFlow_Distributions_Tutorial) | This is the reduction operation for the elementwise [`tf.math.multiply`](https://www.tensorflow.org/api_docs/python/tf/math/multiply) op. Reduces `input_tensor` along the dimensions given in `axis`. Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keepdims` is true, the reduced dimensions are retained with length 1. If `axis` is None, all dimensions are reduced, and a tensor with a single element is returned.


| ## For example || |---|---| |
>>> x = tf.constant([[1., 2.], [3., 4.]]) >>> tf.math.reduce_prod(x) >>> tf.math.reduce_prod(x, 0) >>> tf.math.reduce_prod(x, 1)
||



| ## Args || |---|---| | `input_tensor` | The tensor to reduce. Should have numeric type. | | `axis` | The dimensions to reduce. If `None` (the default), reduces all dimensions. Must be in the range `[-rank(input_tensor), rank(input_tensor))`. | | `keepdims` | If true, retains reduced dimensions with length 1. | | `name` | A name for the operation (optional). |



| ## Returns || |---|---| | The reduced tensor. ||

## numpy compatibility
Equivalent to np.prod