From a8fd4236eb3421c0c9e8845de5cd8183e9793ef2 Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Fri, 26 Apr 2024 15:51:09 +0200
Subject: [PATCH] Blunder (#1815)

# What does this PR do?

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Fixes # (issue)


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---
 .../models/flash_mistral.py                   | 39 ++++++-------------
 1 file changed, 12 insertions(+), 27 deletions(-)

diff --git a/server/text_generation_server/models/flash_mistral.py b/server/text_generation_server/models/flash_mistral.py
index e2ad78d9..6959e2ec 100644
--- a/server/text_generation_server/models/flash_mistral.py
+++ b/server/text_generation_server/models/flash_mistral.py
@@ -515,33 +515,18 @@ class BaseFlashMistral(FlashCausalLM):
         cuda_graph = self.cuda_graphs.get(padded_bs, None)
 
         if cu_seqlen_prefill is not None or cuda_graph is None:
-
-            if cu_seqlen_prefill is None:
-                logits, speculative_logits = self.compiled_model(
-                    input_ids=input_ids,
-                    position_ids=position_ids,
-                    cu_seqlen_prefill=cu_seqlen_prefill,
-                    kv_cache=kv_cache,
-                    block_tables=block_tables,
-                    slots=slots,
-                    input_lengths=input_lengths,
-                    max_s=max_s,
-                    prefill_cache_indices=batch.prefill_cache_indices,
-                    lm_head_indices=lm_head_indices,
-                )
-            else:
-                logits, speculative_logits = self.model.forward(
-                    input_ids=input_ids,
-                    position_ids=position_ids,
-                    cu_seqlen_prefill=cu_seqlen_prefill,
-                    kv_cache=kv_cache,
-                    block_tables=block_tables,
-                    slots=slots,
-                    input_lengths=input_lengths,
-                    max_s=max_s,
-                    prefill_cache_indices=batch.prefill_cache_indices,
-                    lm_head_indices=lm_head_indices,
-                )
+            logits, speculative_logits = self.model.forward(
+                input_ids=input_ids,
+                position_ids=position_ids,
+                cu_seqlen_prefill=cu_seqlen_prefill,
+                kv_cache=kv_cache,
+                block_tables=block_tables,
+                slots=slots,
+                input_lengths=input_lengths,
+                max_s=max_s,
+                prefill_cache_indices=batch.prefill_cache_indices,
+                lm_head_indices=lm_head_indices,
+            )
             if batch.prefill_cache_indices is not None:
                 batch.prefill_cache_indices = None
             return logits, speculative_logits