Fix codegen docs grammar

docs/codegen.md

@@ -1,9 +1,9 @@
 Codegen for TL1 and TL2
 ------------------------
 
-codegen_tl1.py and codegen_tl2.py are using params to generate kernel codes in different devices to achieve fastest performance for TL1 and TL2.
+codegen_tl1.py and codegen_tl2.py use parameters to generate kernel code for different devices to achieve the fastest performance for TL1 and TL2.
 
-We cutting weight into multiple compute blocks to best utilize hardware capabilities.
+Weights are split into multiple compute blocks to best utilize hardware capabilities.
 
 ### Example
 bitnet_b1_58-large:
@@ -31,19 +31,19 @@ python utils/codegen_tl2.py --model bitnet_b1_58-large --BM 256,128,256 --BK 96,
 
 For TL1, we cut weight into M / BM weights, each weight shape is (BM, K). Then we cut weight into K / BK weights, each weight shape is (BM, BK). As for (BM, BK) weight, we cut it the same way into (bm, compute_num / bm) compute blocks, and finish computing in it.
 
-Thus, we need to make sure 
+Thus, we need to make sure
 - M % BM == 0
 - K % BK == 0
 - BM % bm == 0
-- bm choose in [32, 64]
+- bm is chosen from [32, 64]
 
 ### TL2:
 ![TL2](../assets/tl2.png)
 
-For TL2, things got a little more complicated. Due to TL2 needs BK % 6 == 0, we need to split K into threeK and twoK, in which compute in TL2 for (M, threeK), compute in TL1 for (M, two_K).
+For TL2, things get a little more complicated. Because TL2 needs BK % 6 == 0, we split K into threeK and twoK, compute (M, threeK) in TL2, and compute (M, two_K) in TL1.
 
-Thus, we needs to make sure
+Thus, we need to make sure
 - M % BM == 0
 - K % BK % 32 == 0
 - BM % bm == 0
-- bm choose in \[32\]
+- bm is chosen from \[32\]