From 1e3ec3c91f140c5f0dddad95a9bcb843d67b382b Mon Sep 17 00:00:00 2001
From: zhangsibo1129 <134488188+zhangsibo1129@users.noreply.github.com>
Date: Wed, 27 Sep 2023 18:25:59 +0800
Subject: [PATCH] Complete FastLinear.load parameters in OPTDecoder
 initialization (#1060)

# What does this PR do?

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`FastLinear.load` requires 4 parameters, but in the following only 3 are
given. This PR fix this.

```python
# server/text_generation_server/models/custom_modeling/opt_modeling.py
        if config.word_embed_proj_dim != config.hidden_size:
            self.project_out = FastLinear.load(
                config, prefix="model.decoder.project_out", bias=False
            )
        else:
            self.project_out = None

        if config.word_embed_proj_dim != config.hidden_size:
            self.project_in = FastLinear.load(
                config, prefix="model.decoder.project_in", bias=False
```

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---
 .../models/custom_modeling/opt_modeling.py                    | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/server/text_generation_server/models/custom_modeling/opt_modeling.py b/server/text_generation_server/models/custom_modeling/opt_modeling.py
index fe6f1e52..ce3f5e21 100644
--- a/server/text_generation_server/models/custom_modeling/opt_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/opt_modeling.py
@@ -444,14 +444,14 @@ class OPTDecoder(OPTPreTrainedModel):
 
         if config.word_embed_proj_dim != config.hidden_size:
             self.project_out = FastLinear.load(
-                config, prefix="model.decoder.project_out", bias=False
+                config, prefix="model.decoder.project_out", weights=weights, bias=False
             )
         else:
             self.project_out = None
 
         if config.word_embed_proj_dim != config.hidden_size:
             self.project_in = FastLinear.load(
-                config, prefix="model.decoder.project_in", bias=False
+                config, prefix="model.decoder.project_in", weights=weights, bias=False
             )
         else:
             self.project_in = None