mirror of
https://github.com/helblazer811/ManimML.git
synced 2025-05-17 10:45:54 +08:00
71 lines
1.8 KiB
Python
71 lines
1.8 KiB
Python
from manim import *
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from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer
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from manim_ml.utils.testing.frames_comparison import frames_comparison
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from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer, ImageLayer
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from PIL import Image
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import numpy as np
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__module_test__ = "residual"
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@frames_comparison
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def test_ResidualConnectionScene(scene):
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"""Tests the appearance of a residual connection"""
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nn = NeuralNetwork(
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{
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"layer1": FeedForwardLayer(3),
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"layer2": FeedForwardLayer(5),
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"layer3": FeedForwardLayer(3),
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}
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)
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scene.add(nn)
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# Make the specific scene
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config.pixel_height = 1200
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config.pixel_width = 1900
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config.frame_height = 6.0
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config.frame_width = 6.0
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class FeedForwardScene(Scene):
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def construct(self):
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nn = NeuralNetwork(
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{
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"layer1": FeedForwardLayer(4),
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"layer2": FeedForwardLayer(4),
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"layer3": FeedForwardLayer(4),
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},
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layer_spacing=0.45,
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)
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nn.add_connection("layer1", "layer3")
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self.add(nn)
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self.play(nn.make_forward_pass_animation(), run_time=8)
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class ConvScene(ThreeDScene):
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def construct(self):
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image = Image.open("../assets/mnist/digit.jpeg")
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numpy_image = np.asarray(image)
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nn = NeuralNetwork(
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{
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"layer1": Convolutional2DLayer(1, 5, padding=1),
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"layer2": Convolutional2DLayer(1, 5, 3, padding=1),
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"layer3": Convolutional2DLayer(1, 5, 3, padding=1),
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},
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layer_spacing=0.25,
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)
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nn.add_connection("layer1", "layer3")
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self.add(nn)
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self.play(nn.make_forward_pass_animation(), run_time=8)
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