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fix/no-batch-norm #6

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2,755 changes: 2,684 additions & 71 deletions minecraft_copilot_ml/metrics_graph.ipynb
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10 changes: 0 additions & 10 deletions minecraft_copilot_ml/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,19 +23,14 @@ def __init__(self, unique_blocks_dict, unique_counts_coefficients=None, latent_d
# Encoder
self.encoder = nn.Sequential(
nn.Conv3d(1, len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
# lets go
Expand All @@ -54,19 +49,14 @@ def __init__(self, unique_blocks_dict, unique_counts_coefficients=None, latent_d
nn.Unflatten(1, (len(unique_blocks_dict), 16, 16, 16)),
# lets go
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
nn.BatchNorm3d(len(unique_blocks_dict)),
nn.LeakyReLU(),
nn.Conv3d(len(unique_blocks_dict), len(unique_blocks_dict), kernel_size=3, padding=1),
)
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