49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
from typing import Any, Dict, Tuple, Callable
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import torch
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class PtApplyFunction:
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"""
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Applies a function to the input tensor.
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### Fields:
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- tens: Tensor to which the function be applied.
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- closure: Differentiable function to apply to the tensor.
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category: PyTorch wrapper - Training
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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 expected input types.
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Returns:
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Dict[str, Any]: A dictionary specifying required and optional input types.
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"""
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return {
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"required": {
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"tens": ("TENSOR", {}),
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"closure": ("PTCALLABLE", {})
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}
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}
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RETURN_TYPES: Tuple[str, ...] = ("TENSOR",)
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FUNCTION: str = "f"
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CATEGORY: str = "Training"
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def f(self,
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tens: torch.Tensor,
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closure: Callable) -> Tuple[torch.Tensor]:
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"""
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Applies a function to the input tensor.
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Args:
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tens (torch.Tensor): Tensor to which the function be applied.
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closure (Callable): Differentiable function to apply to the tensor.
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Returns:
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Tuple[nn.Module]: A tuple containing the instantiated model.
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"""
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return (closure(tens),)
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