From 123749a3c999e32db798667041a4a9589d217c8e Mon Sep 17 00:00:00 2001
From: Vincent Brouwers <vincent.brouwers@ing.com>
Date: Thu, 21 Sep 2023 08:15:59 +0200
Subject: [PATCH] Fix missing arguments in Galactica's from_pb (#1022)

# What does this PR do?

Fixes #1004

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Fixes # (issue)


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---
 server/text_generation_server/models/galactica.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/server/text_generation_server/models/galactica.py b/server/text_generation_server/models/galactica.py
index cfd5e658..b296c96e 100644
--- a/server/text_generation_server/models/galactica.py
+++ b/server/text_generation_server/models/galactica.py
@@ -80,6 +80,7 @@ class GalacticaCausalLMBatch(CausalLMBatch):
         next_token_choosers = []
         stopping_criterias = []
         prefix_offsets = []
+        top_n_tokens = []
         read_offsets = []
         requests_idx_mapping = {}
 
@@ -96,6 +97,7 @@ class GalacticaCausalLMBatch(CausalLMBatch):
                 r.stopping_parameters, tokenizer
             )
             stopping_criterias.append(stopping_criteria)
+            top_n_tokens.append(r.top_n_tokens)
             max_truncation = max(max_truncation, r.truncate)
             max_decode_tokens += stopping_criteria.max_new_tokens
             padding_right_offset = max(
@@ -129,6 +131,9 @@ class GalacticaCausalLMBatch(CausalLMBatch):
         position_ids = tokenized_inputs["attention_mask"].long().cumsum(-1) - 1
         position_ids.masked_fill_(tokenized_inputs["attention_mask"] == 0, 1)
         all_input_ids = tokenized_inputs["input_ids"].T.split(1, dim=1)
+        top_n_tokens_tensor = torch.tensor(
+            top_n_tokens, device=device, dtype=torch.int64
+        )
 
         max_tokens = len(inputs) * max_input_length + max_decode_tokens
 
@@ -146,6 +151,8 @@ class GalacticaCausalLMBatch(CausalLMBatch):
             read_offsets=read_offsets,
             next_token_choosers=next_token_choosers,
             stopping_criterias=stopping_criterias,
+            top_n_tokens=top_n_tokens,
+            top_n_tokens_tensor=top_n_tokens_tensor,
             max_input_length=max_input_length.item(),
             padding_right_offset=padding_right_offset,
             max_tokens=max_tokens,