Fix model docstrings (#1764)

Author: WoosukKwon

vllm/model_executor/models/aquila.py

@@ -20,11 +20,7 @@
 # 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.
-"""Inference-only LLaMA model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only LLaMA model compatible with HuggingFace weights."""
 from typing import Any, Dict, List, Optional, Tuple
 
 import torch

vllm/model_executor/models/baichuan.py

@@ -17,11 +17,7 @@
 # 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.
-"""Inference-only BaiChuan model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only BaiChuan model compatible with HuggingFace weights."""
 import math
 from typing import List, Optional, Tuple
 

vllm/model_executor/models/bloom.py

@@ -15,11 +15,7 @@
 # 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.
-"""Inference-only BLOOM model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only BLOOM model compatible with HuggingFace weights."""
 import math
 from typing import List, Optional, Tuple
 

vllm/model_executor/models/chatglm.py

@@ -1,11 +1,7 @@
 # coding=utf-8
 # Adapted from
 # https://github.com/THUDM/ChatGLM2-6B
-"""Inference-only ChatGLM model compatible with THUDM weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only ChatGLM model compatible with THUDM weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/gpt2.py

@@ -16,11 +16,7 @@
 # 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.
-"""Inference-only GPT-2 model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only GPT-2 model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/gpt_bigcode.py

@@ -17,11 +17,7 @@
 # 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.
-"""Inference-only GPTBigCode model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only GPTBigCode model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/gpt_j.py

@@ -15,11 +15,7 @@
 # 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.
-"""Inference-only GPT-J model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only GPT-J model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/gpt_neox.py

@@ -15,11 +15,7 @@
 # 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.
-"""Inference-only GPT-NeoX model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only GPT-NeoX model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/llama.py

@@ -20,11 +20,7 @@
 # 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.
-"""Inference-only LLaMA model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only LLaMA model compatible with HuggingFace weights."""
 from typing import Any, Dict, List, Optional, Tuple
 
 import torch

vllm/model_executor/models/mistral.py

@@ -20,11 +20,7 @@
 # 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.
-"""Inference-only Mistral model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only Mistral model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/opt.py

@@ -16,11 +16,7 @@
 # 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.
-"""Inference-only OPT model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only OPT model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/phi_1_5.py

@@ -34,11 +34,7 @@
 # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-"""Inference-only Phi-1.5 model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only Phi-1.5 model compatible with HuggingFace weights."""
 from typing import List, Optional, Tuple
 
 import torch

vllm/model_executor/models/qwen.py

@@ -3,11 +3,7 @@
 # https://huggingface.co/Qwen/Qwen-7B/blob/main/modeling_qwen.py
 # Copyright (c) Alibaba Cloud.
 # LICENSE: https://huggingface.co/Qwen/Qwen-7B/blob/main/LICENSE
-"""Inference-only QWen model compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only QWen model compatible with HuggingFace weights."""
 from typing import Any, Dict, List, Optional, Tuple
 
 import torch

vllm/model_executor/models/yi.py

@@ -20,11 +20,7 @@
 # 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.
-"""Inference-only Yi model (https://01.ai) compatible with HuggingFace weights.
-
-The input of the model is flattened to a 1D tensor of tokens. The model uses
-InputMetadata to extract the original 2D shape of the input.
-"""
+"""Inference-only Yi model (https://01.ai) compatible with HuggingFace weights."""
 from typing import Any, Dict, List, Optional, Tuple
 
 import torch