add readme.

Signed-off-by: Ye, Xinyu <[email protected]>

docs/source/index.mdx

@@ -58,6 +58,7 @@ In the tables below, ✅ means single-card, multi-card and DeepSpeed have all be
 | Gemma        | ✅       | <div style="text-align:left"><li>Single card</li></div> | <li>[language modeling](https://github.com/huggingface/optimum-habana/tree/main/examples/language-modeling)</li><li>[text generation](https://github.com/huggingface/optimum-habana/tree/main/examples/text-generation)</li> |
 | Qwen2        | <div style="text-align:left"><li>Single card</li></div> | <div style="text-align:left"><li>Single card</li></div> | <li>[language modeling](https://github.com/huggingface/optimum-habana/tree/main/examples/language-modeling)</li><li>[text generation](https://github.com/huggingface/optimum-habana/tree/main/examples/text-generation)</li> |
 | Persimmon    |          | <div style="text-align:left"><li>Single card</li></div> | <li>[text generation](https://github.com/huggingface/optimum-habana/tree/main/examples/text-generation)</li> |
+| XGLM         |          | <div style="text-align:left"><li>Single card</li></div> | <li>[text generation](https://github.com/huggingface/optimum-habana/tree/main/examples/text-generation)</li> |
 | T5 / Flan T5 | ✅       | ✅        | <li>[summarization](https://github.com/huggingface/optimum-habana/tree/main/examples/summarization)</li><li>[translation](https://github.com/huggingface/optimum-habana/tree/main/examples/translation)</li><li>[question answering](https://github.com/huggingface/optimum-habana/tree/main/examples/question-answering#fine-tuning-t5-on-squad20)</li> |
 | BART         |          | <div style="text-align:left"><li>Single card</li></div> | <li>[summarization](https://github.com/huggingface/optimum-habana/tree/main/examples/summarization)</li><li>[translation](https://github.com/huggingface/optimum-habana/tree/main/examples/translation)</li><li>[question answering](https://github.com/huggingface/optimum-habana/tree/main/examples/question-answering#fine-tuning-t5-on-squad20)</li> |
 | ViT          | ✅       | ✅        | <li>[image classification](https://github.com/huggingface/optimum-habana/tree/main/examples/image-classification)</li> |

optimum/habana/transformers/models/xglm/modeling_xglm.py

@@ -1,10 +1,8 @@
-import math
 from typing import List, Optional, Tuple, Union
 
 import torch
 from torch import nn
 from torch.nn import CrossEntropyLoss
-from transformers.cache_utils import Cache, DynamicCache
 from transformers.modeling_outputs import BaseModelOutputWithPastAndCrossAttentions, CausalLMOutputWithCrossAttentions
 from transformers.models.xglm.modeling_xglm import XGLMForCausalLM
 from transformers.utils import logging