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@ -463,7 +463,13 @@ def parallelize_model(
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raise ValueError(f"Invalid fsdp_type: {distributed_args.fsdp_type}")
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if distributed_args.selective_activation_checkpointing:
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for module in [model.global_transformer, model.local_encoder, model.local_decoder]:
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# only works for blt models
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# assuming that entropy models will not use checkpointing
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for module in [
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model.global_transformer,
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model.local_encoder,
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model.local_decoder,
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]:
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for i in range(len(module.layers)):
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module.layers[i] = checkpoint_wrapper(
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module.layers[i],
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@ -179,7 +179,7 @@ class LocalModelBase(nn.Module):
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)
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if self.patch_embedding_projection is not None:
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patch_emb_std = self.dim_patch_emb ** (-0.5)
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patch_emb_std = self.dim_patch_emb ** (-0.5)
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nn.init.trunc_normal_(
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self.patch_embedding_projection.weight,
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mean=0.0,
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