Here we will discuss converting the string to an integer in Python TensorFlow. And also we will look at some examples of how we can convert the string to different datatype in ** TensorFlow**. And we will cover these topics.

- Tensorflow convert string to int
- TensorFlow cast string to int
- Tensorflow converts a string to float
- TensorFlow unimplemented cast string to int 64 is not supported
- TensorFlow cast string to int32 is not supported

## Tensorflow convert string to int

- In this section, we will discuss how to convert the string to an integer in Python TensorFlow.
- To perform this particular task we are going to use the
**tf.strings.to_number()**function and in this function, we will convert the string to an integer to be given a numeric type.

**Syntax**:

Let’s have a look at the Syntax and understand the working of** tf.strings.to_number()** function in Python TensorFlow

```
tf.strings.to_number(
input,
out_type=tf.dtypes.float32,
name=None
)
```

- It consists of a few parameters
**input**: This parameter defines the input tensor in which the function will be applied.**out_type**: By default it takes**df.dtypes.float32()**values and it is an optional parameter and the type of number to assign to each string in the string tensor.**name**: This parameter specifies the name of the operation and by default, it takes none value.

**Example**:

Let’s take an example and check how to convert the string to an integer in Python TensorFlow.

**Source Code**:

```
import tensorflow as tf
population_of_UnitedStates = tf.constant(['12','56','78','98'])
result= tf.strings.to_number(population_of_UnitedStates,tf.int32)
print(result)
```

In the following given code, we have created a tensor and the name of the tensor is population_of_UnitedStates by using the **tf.constant() **function, and within this function, we have assigned the string values to it. Now we want to convert that string value to an integer. For this, we used the **tf.strings.to_number()** function.

Here is the implementation of the following given code

This is how to convert the string to an integer in Python TensorFlow.

Read: Python TensorFlow truncated normal

## TensorFlow cast string to int

- Let us discuss how we will convert the cast string to an integer in Python TensorFlow.
- To perform this task we are going to use the
**tf.cast()**function this function is used to cast the given input tensor to a new datatype. This function takes two main parameters which are the input tensor that is being cast.

**Syntax**:

Here is the Syntax of** tf.cast()** function in Python TensorFlow

```
tf.cast(
x, dtype, name=None
)
```

- It consists of a few parameters
**x**: This parameter defines the input tensor and a numeric type Tensor, SparseTensor, or IndexedSlices. It might be an**int8, int16, int32, int64, float16, float32, float64, complex64, complex128, or bfloat16**. It might also be an**uint8, int8, int16, int32, or int64**.**dtype**: This parameter specifies the data type of the input tensor.**name**: By default, it takes none value and specifies the name of the operation.

**Example**:

```
import tensorflow as tf
input_tens = tf.constant(['18', '22'])
result=tf.cast(input_tens, tf.float32)
print(result)
```

You can refer to the below Screenshot

In this example, we have inserted the string value in a tensor and converted it into the integer by using the ** tf.cast()** function but this cast string to float is not supported.

Read: Python TensorFlow one_hot

## Tensorflow converts a string to float

- In this section, we will discuss how to convert the string to float in Python TensorFlow.
- To perform this particular task we are going to use the
**tf.strings.to_number()**function and in this function, we will convert the string to an integer to be given a numeric type.

**Example**:

```
import tensorflow as tf
whitest_state_in_USA= tf.constant(['78','92','189','45'])
result= tf.strings.to_number(whitest_state_in_USA,tf.float32)
print(result)
```

Here is the implementation of the following given code

As you can see in the Screenshot we have converted the string to float.

Read: Python TensorFlow reduce_mean

## TensorFlow unimplemented cast string to int 64 is not supported

- Here we will discuss the error unimplemented cast string to int 64 is not supported in Python TensorFlow.
- To perform this particular task, we are going to use the
**tf.cast()**function this function is used to cast the given input tensor to a new datatype. - This function takes two main parameters which are the input tensor that is being cast.

**Example**:

```
import tensorflow as tf
input_tens = tf.constant(['78', '98','178'])
result=tf.cast(input_tens, tf.int64)
print(result)
```

Here is the Screenshot of the following given code

Read: TensorFlow Tensor to numpy

## TensorFlow cast string to int32 is not supported

- In this example we will discuss how to solve the error TensorFlow cast string to int 32 is not supported.
- By using the
**tf.cast()**function we can easily generate the error the reason behind this is this function does not support string values.

**Example**:

```
import tensorflow as tf
input_tens = tf.constant(['167', '875','431'])
new_output=tf.cast(input_tens, tf.int32)
print(new_output)
```

You can refer to the below Screenshot

You may also like to read the following TensorFlow tutorials in Python.

- Gradient descent optimizer TensorFlow
- How to convert dictionary to tensor tensorflow
- TensorFlow clip_by_value – Complete tutorial
- TensorFlow Graph – Detailed Guide
- Tensorflow iterate over tensor
- How to convert TensorFlow to one hot

In this article, we have discussed ** how to convert the string to an integer in Python TensorFlow**. And also we will look at some examples of how we can convert the string to different datatype in

**. And we have covered these topics.**

*TensorFlow*- Tensorflow convert string to int
- TensorFlow cast string to int
- Tensorflow converts a string to float
- TensorFlow unimplemented cast string to int 64 is not supported
- TensorFlow cast string to int32 is not supported

Python is one of the most popular languages in the United States of America. I have been working with Python for a long time and I have expertise in working with various libraries on Tkinter, Pandas, NumPy, Turtle, Django, Matplotlib, Tensorflow, Scipy, Scikit-Learn, etc… I have experience in working with various clients in countries like United States, Canada, United Kingdom, Australia, New Zealand, etc. Check out my profile.