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Fix input dim (#365)
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@@ -289,7 +289,7 @@ class VQBeTModel(nn.Module):
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# To input state and observation features into GPT layers, we first project the features to fit the shape of input size of GPT.
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self.state_projector = MLP(
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config.output_shapes["action"][0], hidden_channels=[self.config.gpt_input_dim]
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config.input_shapes["observation.state"][0], hidden_channels=[self.config.gpt_input_dim]
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)
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self.rgb_feature_projector = MLP(
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self.rgb_encoder.feature_dim, hidden_channels=[self.config.gpt_input_dim]
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