typo fix in deepseek

Author: ronniec91

.github/ISSUE_TEMPLATE/blog-create.yml

@@ -18,6 +18,15 @@ body:
 
     validations:
       required: false
+  - type: input
+    id: file_path_name
+    attributes:
+      label: "File Path Name"
+      description: "Please enter the name of your directory name (MAXIMUM 50 CHARACTERS)"
+      placeholder: |
+        Suggested format: word1-word2-word3. Please keep the directory name to maximum three words separated by a hyphen.
+    validations:
+      required: true
   - type: input
     id: blog_authors
     attributes:

.github/workflows/blog-pr.yml

@@ -52,7 +52,7 @@ jobs:
           BLOG_TITLE="${{ github.event.issue.title }}"
 
           BLOG_TITLE=$(echo "$BLOG_TITLE" | sed 's/^\[New Post\][[:space:]]*//')
-          
+          BLOG_FILE_PATH=$(extract_field "File Path Name")
           BLOG_AUTHORS=$(extract_field "Author")
           BLOG_TAGS=$(extract_field "Tags")
           BLOG_CATEGORY=$(extract_field "Category")
@@ -69,6 +69,7 @@ jobs:
           BLOG_JIRA=$(extract_field "Jira Ticket")
           
           echo "Blog Title: $BLOG_TITLE"
+          echo "Blog File Path: $BLOG_FILE_PATH"
           echo "Blog Author(s): $BLOG_AUTHORS"
           echo "Blog Tags: $BLOG_TAGS"
           echo "Blog Category: $BLOG_CATEGORY"
@@ -127,7 +128,7 @@ jobs:
           echo "Current date: $CURRENT_DATE"
 
           if [ "$VALIDATION_PASSED" = "true" ]; then
-            python3 scripts/create_blog_post.py "$BLOG_TITLE" "$BLOG_AUTHORS" "$BLOG_TAGS" "$BLOG_CATEGORY" "$BLOG_AUDIENCE" "$BLOG_KVP" "$BLOG_KEYWORDS" "$BLOG_AMD_TECHNICAL_BLOG_TYPE" "$BLOG_AMD_PRODUCT_TYPE" "$BLOG_AMD_DEVELOPER_TYPE" "$BLOG_AMD_APPLICATIONS" "$BLOG_AMD_INDUSTRIES" "$BLOG_DESCRIPTION" "$BLOG_DEPLOYMENT_TARGETS"
+            python3 scripts/create_blog_post.py "$BLOG_TITLE" "$BLOG_FILE_PATH" "$BLOG_AUTHORS" "$BLOG_TAGS" "$BLOG_CATEGORY" "$BLOG_AUDIENCE" "$BLOG_KVP" "$BLOG_KEYWORDS" "$BLOG_AMD_TECHNICAL_BLOG_TYPE" "$BLOG_AMD_PRODUCT_TYPE" "$BLOG_AMD_DEVELOPER_TYPE" "$BLOG_AMD_APPLICATIONS" "$BLOG_AMD_INDUSTRIES" "$BLOG_DESCRIPTION" "$BLOG_DEPLOYMENT_TARGETS"
           fi
           
           echo "blog_title=$BLOG_TITLE" >> $GITHUB_OUTPUT

README.md

@@ -20,3 +20,5 @@ experiment with. Our intention is to provide content that targets domain experts
 computational/data scientists alike. While our optimization strategies may be specific to a particular
 application/model, we believe that the content can serve as a guideline and an effective starting point to help
 you get the best experience out of your AMD GPUs.
+
+We welcome external contributions but keep in mind that we do exercise our editorial discretion on all content.

blogs/software-tools-optimization/aiter-ai-tensor-engine/README.md

@@ -184,11 +184,11 @@ FOR ANY DAMAGES THAT MAY ARISE FROM YOUR USE OF THIRD-PARTY CONTENT.
     Docker version: rocm/pytorch-training:v25.3 \
     \
     NVIDIA H100 platform: System Model: Supermicro AS -8125GS-TNHR \
-    CPU: 2x AMD EPYC 9654 96-Core Processor (2 Sockets, 96 cores per pocket, 2 Threads per core) NUMA Config: 1 NUMA node per socket Memory: 2304 GB (24 DIMMS, 4800 mts, 96 GB/DIMM) \
+    CPU: 2x AMD EPYC 9654 96-Core Processor (2 Sockets, 96 cores per socket, 2 Threads per core) NUMA Config: 1 NUMA node per socket Memory: 2304 GB (24 DIMMS, 4800 mts, 96 GB/DIMM) \
     Disk: Root drive + Data drives: 8x 7 TiB INTELSSDPF2KX076T1NVMe SSDs \
     Root drive: 1.75 TiB Micron MTFDDAK1T9TDS-1AW1ZA \
     GPU: 8x NVIDIA H100 80GB HBM3 700W \
-    Host OS: Ubuntu 22.04.5 LTD with Linux kernel titan 6.8.0-51-generic \
+    Host OS: Ubuntu 22.04.5 LTS with Linux kernel titan 6.8.0-51-generic \
     Host GPU Driver:535.183.01 \
     Firmware System: BIOS 2.1 \
     Docker version:nvcr.io/nvidia/pytorch:25.01-py3
@@ -203,7 +203,7 @@ FOR ANY DAMAGES THAT MAY ARISE FROM YOUR USE OF THIRD-PARTY CONTENT.
     Host OS: Ubuntu 22.04.5 LTS with Linux kernel 5.15.0-122-generic. \
     System BIOS: 5.27 \
     Host GPU Driver: 6.3.0 ROCm 6.3 (Pre-release) \
-    Docker version: rocm/megatron-lmg:v25.3
+    Docker version: rocm/megatron-lm:v25.3
 [^3]: MI300-080 On average, a system with 8x AMD Instinct MI300X GPUs shows up to  1.29x better performance comparing to a similarly configured system with 8x NVIDIA H100 GPUs, in the DeepSeekV2-Lite model training benchmark. Testing done by AMD on 02/014/2025, results may vary. \
     SYSTEM CONFIGURATION: \
     AMD Instinct™ MI300X platform System Model: Supermicro GPU A+ Server AS - 8125GS-TNMR2 \
@@ -215,17 +215,17 @@ FOR ANY DAMAGES THAT MAY ARISE FROM YOUR USE OF THIRD-PARTY CONTENT.
     Host OS: Ubuntu 22.04.5 LTS with Linux kernel 5.15.0-122-generic. \
     System BIOS: 5.27 \
     Host GPU Driver: 6.3.0 ROCm 6.3 (Pre-release) \
-    Docker version: rocm/megatron-lmg:v25.3 \
+    Docker version: rocm/megatron-lm:v25.3 \
     \
     NVIDIA H100 platform: \
     System Model: Supermicro AS -8125GS-TNHR \
     CPU: 2x AMD EPYC 9654 96-Core Processor (2 Sockets, 96 cores per pocket, 2 Threads per core) \
     NUMA Config: 1 NUMA node per socket \
     Memory: 2304 GB (24 DIMMS, 4800 mts, 96 GB/DIMM) \
-    Disk: RData drives: 8x 7 TiB INTEL SSDPF2KX076T1 NVMe SSDs \
+    Disk: Data drives: 8x 7 TiB INTEL SSDPF2KX076T1 NVMe SSDs \
     Root drive: 1.75 TiB Micron MTFDDAK1T9TDS-1AW1ZA \
     GPU: 8x NVIDIA H100 80GB HBM3 700W \
-    Host OS: Ubuntu 22.04.5 LTD with Linux kernel titan 6.8.0-51-generic \
+    Host OS: Ubuntu 22.04.5 LTS with Linux kernel titan 6.8.0-51-generic \
     Host GPU Driver:535.183.01 \
     Firmware System: BIOS 2.1 \
     Docker version: nvcr.io/nvidia/pytorch:24.10-py3  

blogs/software-tools-optimization/aiter-ai-tensor-engine/images/Screenshot_2025-03-18_124343.png

@@ -534,7 +534,7 @@ buffer_store_dword v1, off, s[0:3], 0 offset:16
 buffer_store_dword v1, off, s[0:3], 0 offset:80
 ```
 
-Note that the spillage of regsiters to scratch memory is heavily dependent on the GPU architecture and version of ROCm™.
+Note that the spillage of registers to scratch memory is heavily dependent on the GPU architecture and version of ROCm™.
 
 ### Shifted copy
 

blogs/software-tools-optimization/aiter-ai-tensor-engine/images/aiter_thumbnail.png

@@ -28,19 +28,20 @@ def create_blog_post_from_args():
 
     args = gather_args()
     blog_title = args[0]
-    blog_authors = args[1]
-    blog_tags = args[2]
-    blog_category = args[3]
-    blog_audience = args[4]
-    blog_key_value_proposition = args[5]
-    blog_keywords = args[6]
-    blog_amd_technical_blog_type = args[7]
-    blog_amd_product_type = args[8]
-    blog_amd_developer_type = args[9]
-    blog_amd_applications = args[10]
-    blog_amd_industries = args[11]
-    blog_description = args[12]
-    blog_amd_deployment = args[13]
+    blog_file_path = args[1]
+    blog_authors = args[2]
+    blog_tags = args[3]
+    blog_category = args[4]
+    blog_audience = args[5]
+    blog_key_value_proposition = args[6]
+    blog_keywords = args[7]
+    blog_amd_technical_blog_type = args[8]
+    blog_amd_product_type = args[9]
+    blog_amd_developer_type = args[10]
+    blog_amd_applications = args[11]
+    blog_amd_industries = args[12]
+    blog_description = args[13]
+    blog_amd_deployment = args[14]
 
     # check all of the date formats
 
@@ -191,7 +192,7 @@ def create_blog_post_from_args():
         note="{note}",
     )
 
-    dir_blog_name = truncate_string(blog_title)
+    dir_blog_name = truncate_string(blog_file_path[:50])
     dir_category_name = truncate_string(blog_category)
 
     if dir_category_name == "applications-models":