Tensorflow convert string to int

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 TensorFlow. And we have covered 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