mirror of
https://github.com/helblazer811/ManimML.git
synced 2025-05-20 12:05:58 +08:00
74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
from manim import *
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from abc import ABC, abstractmethod
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class NeuralNetworkLayer(ABC, Group):
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"""Abstract Neural Network Layer class"""
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def __init__(self, text=None, **kwargs):
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super(Group, self).__init__()
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self.title_text = kwargs["title"] if "title" in kwargs else " "
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self.title = Text(self.title_text, font_size=DEFAULT_FONT_SIZE/3).scale(0.6)
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self.title.next_to(self, UP, 1.2)
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# self.add(self.title)
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@abstractmethod
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def make_forward_pass_animation(self, layer_args={}, **kwargs):
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pass
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@override_animation(Create)
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def _create_override(self):
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return AnimationGroup()
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def __repr__(self):
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return f"{type(self).__name__}"
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class VGroupNeuralNetworkLayer(NeuralNetworkLayer):
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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@abstractmethod
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def make_forward_pass_animation(self, **kwargs):
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pass
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@override_animation(Create)
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def _create_override(self):
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return super()._create_override()
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class ConnectiveLayer(VGroupNeuralNetworkLayer):
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"""Forward pass animation for a given pair of layers"""
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@abstractmethod
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def __init__(self, input_layer, output_layer, input_class=None, output_class=None,
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**kwargs):
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super(VGroupNeuralNetworkLayer, self).__init__(**kwargs)
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self.input_layer = input_layer
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self.output_layer = output_layer
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self.input_class = input_class
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self.output_class = output_class
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# Handle input and output class
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assert isinstance(input_layer, self.input_class)
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assert isinstance(output_layer, self.output_class)
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@abstractmethod
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def make_forward_pass_animation(self, run_time=2.0, layer_args={}, **kwargs):
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pass
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@override_animation(Create)
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def _create_override(self):
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return super()._create_override()
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class BlankConnective(ConnectiveLayer):
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"""Connective layer to be used when the given pair of layers is undefined"""
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def __init__(self, input_layer, output_layer, input_class=None, output_class=None, **kwargs):
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input_class = input_layer.__class__
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output_class = output_layer.__class__
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super().__init__(input_layer, output_layer, input_class, output_class, **kwargs)
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def make_forward_pass_animation(self, run_time=1.5, layer_args={}, **kwargs):
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return AnimationGroup(run_time=run_time)
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@override_animation(Create)
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def _create_override(self):
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return super()._create_override() |