Add more qwen1.5 and qwen2 support for pipeline parallel inference (#11423)

python/llm/example/GPU/Pipeline-Parallel-Inference/README.md

@@ -9,9 +9,12 @@ To run this example with IPEX-LLM on Intel GPUs, we have some recommended requir
 - [meta-llama/Llama-2-7b-chat-hf](./run_llama_arc_2_card.sh)
 - [meta-llama/Llama-2-13b-chat-hf](./run_llama_arc_2_card.sh)
 - [meta-llama/Meta-Llama-3-8B-Instruct](./run_llama_arc_2_card.sh)
+- [Qwen/Qwen2-7B-Instruct](./run_qwen2_arc_2_card.sh)
 - [Qwen/Qwen1.5-7B-Chat](./run_qwen1.5_arc_2_card.sh)
 - [Qwen/Qwen1.5-14B-Chat](./run_qwen1.5_arc_2_card.sh)
 - [Qwen/Qwen1.5-32B-Chat](./run_qwen1.5_arc_2_card.sh)
+- [Qwen/Qwen1.5-MoE-A2.7B-Chat](./run_qwen1.5_arc_2_card.sh)
+- [Qwen/CodeQwen1.5-7B-Chat](./run_qwen1.5_arc_2_card.sh)
 - [THUDM/chatglm3-6b](./run_chatglm_arc_2_card.sh)
 - [baichuan-inc/Baichuan2-7B-Chat](./run_baichuan2_arc_2_card.sh)
 - [baichuan-inc/Baichuan2-13B-Chat](./run_baichuan2_arc_2_card.sh)
@@ -67,10 +70,26 @@ bash run_llama_arc_2_card.sh
 
 </details>
 
+<details>
+  <summary> Show Qwen2 example </summary>
+
+#### Run Qwen2-7B-Instruct on two Intel Arc A770
+
+You could specify `--repo-id-or-model-path` in the test script to be the huggingface repo id for Qwen2 to be downloaded, or the path to the huggingface checkpoint folder. Besides, you could change `NUM_GPUS` to the number of GPUs you have on your machine.
+
+```bash
+pip install transformers==4.37.0
+bash run_qwen2_arc_2_card.sh
+```
+
+</details>
+
+</details>
+
 <details>
   <summary> Show Qwen1.5 example </summary>
 
-#### Run Qwen1.5-7B-Chat / Qwen1.5-14B-Chat / Qwen1.5-32B-Chat on two Intel Arc A770
+#### Run Qwen1.5-7B-Chat / Qwen1.5-14B-Chat / Qwen1.5-32B-Chat / CodeQwen1.5-7B-Chat on two Intel Arc A770
 
 You could specify `--repo-id-or-model-path` in the test script to be the huggingface repo id for Qwen1.5 to be downloaded, or the path to the huggingface checkpoint folder. Besides, you could change `NUM_GPUS` to the number of GPUs you have on your machine.
 
@@ -79,6 +98,15 @@ pip install transformers==4.37.0
 bash run_qwen1.5_arc_2_card.sh
 ```
 
+#### Run Qwen1.5-MoE-A2.7B-Chat on two Intel Arc A770
+
+You could specify `--repo-id-or-model-path` in the test script to be the huggingface repo id for Qwen1.5-MoE to be downloaded, or the path to the huggingface checkpoint folder. Besides, you could change `NUM_GPUS` to the number of GPUs you have on your machine.
+
+```bash
+pip install transformers==4.40.0 trl==0.8.1
+bash run_qwen1.5_arc_2_card.sh
+```
+
 </details>
 
 </details>

python/llm/example/GPU/Pipeline-Parallel-Inference/run_qwen1.5_arc_2_card.sh

@@ -38,3 +38,11 @@ CCL_ZE_IPC_EXCHANGE=sockets torchrun --standalone --nnodes=1 --nproc-per-node $N
 # # To run Qwen1.5-32B-Chat
 # CCL_ZE_IPC_EXCHANGE=sockets torchrun --standalone --nnodes=1 --nproc-per-node $NUM_GPUS \
 #     generate.py --repo-id-or-model-path 'Qwen/Qwen1.5-32B-Chat' --gpu-num $NUM_GPUS
+
+# # To run Qwen1.5-MoE-A2.7B-Chat
+# CCL_ZE_IPC_EXCHANGE=sockets torchrun --standalone --nnodes=1 --nproc-per-node $NUM_GPUS \
+#     generate.py --repo-id-or-model-path 'Qwen/Qwen1.5-MoE-A2.7B-Chat' --gpu-num $NUM_GPUS
+
+# # To run CodeQwen1.5-7B-Chat
+# CCL_ZE_IPC_EXCHANGE=sockets torchrun --standalone --nnodes=1 --nproc-per-node $NUM_GPUS \
+#     generate.py --repo-id-or-model-path 'Qwen/CodeQwen1.5-7B-Chat' --gpu-num $NUM_GPUS

python/llm/example/GPU/Pipeline-Parallel-Inference/run_qwen2_arc_2_card.sh

@@ -0,0 +1,32 @@
+#
+# Copyright 2016 The BigDL Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+source /opt/intel/oneapi/setvars.sh
+export MASTER_ADDR=127.0.0.1
+export MASTER_PORT=9090
+export FI_PROVIDER=tcp
+export USE_XETLA=OFF
+export OMP_NUM_THREADS=6
+if [[ $KERNEL_VERSION != *"6.5"* ]]; then
+    export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+fi
+export TORCH_LLM_ALLREDUCE=0
+
+NUM_GPUS=2 # number of used GPU
+
+# To run Qwen2-7B-Instruct
+CCL_ZE_IPC_EXCHANGE=sockets torchrun --standalone --nnodes=1 --nproc-per-node $NUM_GPUS \
+    generate.py --repo-id-or-model-path 'Qwen/Qwen2-7B-Instruct' --gpu-num $NUM_GPUS

python/llm/src/ipex_llm/transformers/models/qwen2_moe.py

@@ -72,7 +72,8 @@ def qwen2moe_model_forward(
     return_dict: Optional[bool] = None,
 ):
     use_cache = use_cache if use_cache is not None else self.config.use_cache
-    use_quantize_kv = use_quantize_kv_cache(self.layers[0].mlp.shared_expert.up_proj, input_ids)
+    input = input_ids if input_ids is not None else inputs_embeds
+    use_quantize_kv = use_quantize_kv_cache(self.layers[0].mlp.shared_expert.up_proj, input)
     if use_cache:
         if use_quantize_kv and not isinstance(past_key_values, DynamicFp8Cache):
             past_key_values = DynamicFp8Cache.from_legacy_cache(past_key_values)

python/llm/src/ipex_llm/transformers/pipeline_parallel.py

@@ -24,6 +24,7 @@ import os
 import time
 import numpy as np
 from typing import Callable, List, Optional
+from types import SimpleNamespace
 from transformers import GenerationConfig, LogitsProcessorList, StoppingCriteriaList
 from ipex_llm.utils.common import invalidInputError
 import logging
@@ -52,6 +53,8 @@ class Dummy_MLPLayer(nn.Module):
         # python/llm/src/ipex_llm/transformers/models/llama.py#L119
         self.up_proj = DummyLayer()
         self.down_proj = DummyLayer()
+        self.shared_expert = SimpleNamespace()
+        self.shared_expert.up_proj = DummyLayer()
 
     def forward(self, x):
         return x