From 7c2e0af2a61745a36b26fae2c817f608be757a4c Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Wed, 30 Aug 2023 11:09:46 +0200
Subject: [PATCH] Fix f180 (#951)

# What does this PR do?

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Fixes # (issue)


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---
 .../models/custom_modeling/flash_rw_modeling.py          | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
index 14caa23d..8419fa4f 100644
--- a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
@@ -241,19 +241,21 @@ class FlashRWLargeAttention(torch.nn.Module):
 
         hidden_size = config.hidden_size
         num_heads = config.n_head
-        num_heads_kv = config.n_head_kv
+        # num_heads_kv = config.n_head_kv
+        num_groups = config.n_head_kv
 
         self.hidden_size = hidden_size
         self.head_size = hidden_size // num_heads
+        self.num_groups = num_groups
 
         self.rotary_emb = PositionRotaryEmbedding.static(
             config=config, dim=self.head_size, base=10000.0, device=weights.device
         )
         self.softmax_scale = self.head_size ** (-0.5)
 
-        self.num_groups = num_heads // (num_heads_kv * 2)
+        # self.num_groups = num_heads // (num_heads_kv * 2)
         self.num_heads = num_heads // self.num_groups
-        self.num_heads_kv = num_heads_kv // self.num_groups
+        # self.num_heads_kv = num_heads_kv // self.num_groups
         process_group = weights.process_group
 
         if process_group.size() > self.num_groups:
@@ -264,6 +266,7 @@ class FlashRWLargeAttention(torch.nn.Module):
             raise NotImplementedError(
                 f"Tensor Parallelism is not implemented for {self.num_groups} not divisible by {process_group.size()}"
             )
+
         self.num_groups = self.num_groups // process_group.size()
 
         self.query_key_value = TensorParallelColumnLinear.load(