From 76ddad7d2e559484d0e0ba03b7a9f95840e9832e Mon Sep 17 00:00:00 2001
From: Duyi-Wang <duyi.wang@intel.com>
Date: Wed, 5 Jun 2024 13:06:03 +0800
Subject: [PATCH] [Version] v1.7.0. (#433)

---
 CHANGELOG.md | 22 ++++++++++++++++++++++
 VERSION      |  2 +-
 2 files changed, 23 insertions(+), 1 deletion(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 97c91e16..e58d48ab 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,4 +1,26 @@
 # CHANGELOG
+# [Version v1.7.0](https://github.com/intel/xFasterTransformer/releases/tag/v1.7.0)
+v1.7.0 - Continuous batching feature supported.
+
+## Functionality
+- Refactor framework to support continuous batching feature. `vllm-xft`, a fork of vllm, integrates the xFasterTransformer backend and maintains compatibility with most of the official vLLM's features.
+- Remove FP32 data type option of KV Cache.
+- Add `get_env()` python API to get recommended LD_PRELOAD set.
+- Add GPU build option for Intel Arc GPU series.
+- Exposed the interface of the LLaMA model, including Attention and decoder.
+
+## Performance
+- Update xDNN to release `v1.5.1`
+- Baichuan series models supports full FP16 pipline to improve performance.
+- More FP16 data type kernel added, including MHA, MLP, YARN rotary_embedding, rmsnorm and rope.
+- Kernel implementation of crossAttnByHead.
+
+## Dependency
+- Bump `torch` to `2.3.0`.
+
+## BUG fix
+- Fixed the segament fault error when running with more than 4 ranks.
+- Fixed the bugs of core dump && hang when running croos nodes.
 
 # [Version v1.6.0](https://github.com/intel/xFasterTransformer/releases/tag/v1.6.0)
 v1.6.0 - Llama3 and Qwen2 series models supported.
diff --git a/VERSION b/VERSION
index ce6a70b9..9dbb0c00 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-1.6.0
\ No newline at end of file
+1.7.0
\ No newline at end of file