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Support MT5.
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@ -223,7 +223,7 @@ class T5(torch.nn.Module):
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self.num_layers = config_dict["num_layers"]
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self.num_layers = config_dict["num_layers"]
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model_dim = config_dict["d_model"]
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model_dim = config_dict["d_model"]
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self.encoder = T5Stack(self.num_layers, model_dim, model_dim, config_dict["d_ff"], config_dict["dense_act_fn"], config_dict["is_gated_act"], config_dict["num_heads"], config_dict["model_type"] == "t5", dtype, device, operations)
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self.encoder = T5Stack(self.num_layers, model_dim, model_dim, config_dict["d_ff"], config_dict["dense_act_fn"], config_dict["is_gated_act"], config_dict["num_heads"], config_dict["model_type"] != "umt5", dtype, device, operations)
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self.dtype = dtype
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self.dtype = dtype
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self.shared = torch.nn.Embedding(config_dict["vocab_size"], model_dim, device=device)
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self.shared = torch.nn.Embedding(config_dict["vocab_size"], model_dim, device=device)
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