# tf.raw_ops.Softmax

Computes softmax activations.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.Softmax`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Softmax)

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    tf.raw_ops.Softmax(
        logits, name=None
    )

For each batch `i` and class `j` we have

    $$softmax[i, j] = exp(logits[i, j]) / sum_j(exp(logits[i, j]))$$

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| ## Args ||
|---|---|
| `logits` | A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`, `float64`. 2-D with shape `[batch_size, num_classes]`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `logits`. ||

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