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Converts floating-point numbers to integers for AI and machine learning applications, streamlining workflows and reducing errors.
The VFI FloatToInt node is designed to convert floating-point numbers to integers, which can be particularly useful in various AI and machine learning applications where integer values are required. This node simplifies the process of converting single float values or lists of float values into their integer counterparts, ensuring that the data is in the correct format for subsequent operations. By providing a straightforward method for this conversion, the VFI FloatToInt node helps streamline workflows and reduce the potential for errors that can arise from manual type conversions.
The float
parameter represents the floating-point number or a list of floating-point numbers that you want to convert to integers. This parameter accepts a single float or an iterable of floats. The conversion process will map each float to its nearest integer value. The default value for this parameter is 0, with a minimum value of 0 and a step increment of 0.01. This flexibility allows for precise control over the input values, ensuring that the conversion process meets your specific needs.
The output parameter INT
is the integer representation of the input float value(s). If the input was a single float, the output will be a single integer. If the input was a list of floats, the output will be a list of integers. This output is crucial for any subsequent operations that require integer values, ensuring compatibility and correctness in your workflow.
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