41 lines
982 B
Python
41 lines
982 B
Python
from typing import Any, Dict
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import torch
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class PtToFloat32:
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"""
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Pt To Float32:
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Converts the input tensor's data type to float32.
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category: PyTorch wrapper - Data type conversion
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"""
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@classmethod
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def INPUT_TYPES(cls) -> Dict[str, Any]:
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"""
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Defines the required input types.
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Returns:
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Dict[str, Any]: A dictionary of required input types.
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"""
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return {
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"required": {
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"tens_a": ("TENSOR", {})
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}
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}
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RETURN_TYPES: tuple = ("TENSOR",)
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FUNCTION: str = "f"
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CATEGORY: str = "Data Analysis"
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def f(self, tens_a: torch.Tensor) -> tuple:
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"""
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Converts the input tensor's data type to float32.
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Args:
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tens_a (torch.Tensor): A PyTorch tensor of numerical type.
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Returns:
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tuple: A tuple containing the resultant tensor after the operation.
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"""
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return (tens_a.to(torch.float32),)
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