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import pytest
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import torch
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from mmaction.models import TANet
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from mmaction.testing import generate_backbone_demo_inputs
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def test_tanet_backbone():
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"""Test tanet backbone."""
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with pytest.raises(NotImplementedError):
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tanet_18 = TANet(18, 8)
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tanet_18.init_weights()
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from mmaction.models.backbones.resnet import Bottleneck
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from mmaction.models.backbones.tanet import TABlock
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tanet_50 = TANet(50, 8)
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tanet_50.init_weights()
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for layer_name in tanet_50.res_layers:
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layer = getattr(tanet_50, layer_name)
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blocks = list(layer.children())
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for block in blocks:
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assert isinstance(block, TABlock)
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assert isinstance(block.block, Bottleneck)
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assert block.tam.num_segments == block.num_segments
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assert block.tam.in_channels == block.block.conv1.out_channels
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input_shape = (8, 3, 64, 64)
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imgs = generate_backbone_demo_inputs(input_shape)
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feat = tanet_50(imgs)
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assert feat.shape == torch.Size([8, 2048, 2, 2])
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input_shape = (16, 3, 32, 32)
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imgs = generate_backbone_demo_inputs(input_shape)
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feat = tanet_50(imgs)
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assert feat.shape == torch.Size([16, 2048, 1, 1])
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