Merge pull request #21 from GATEOverflow/master

Merge from master

docs/benchmarks/language/bert.md

@@ -8,34 +8,27 @@ hide:
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
 
-    BERT-99
 {{ mlperf_inference_implementation_readme (4, "bert-99", "reference") }}
 
-    BERT-99.9
 {{ mlperf_inference_implementation_readme (4, "bert-99.9", "reference") }}
 
 === "Nvidia"
     ## Nvidia MLPerf Implementation
 
-    BERT-99
 {{ mlperf_inference_implementation_readme (4, "bert-99", "nvidia") }}
 
-    BERT-99.9
 {{ mlperf_inference_implementation_readme (4, "bert-99.9", "nvidia") }}
 
 === "Intel"
     ## Intel MLPerf Implementation
-    BERT-99
+
 {{ mlperf_inference_implementation_readme (4, "bert-99", "intel") }}
 
-    BERT-99.9
 {{ mlperf_inference_implementation_readme (4, "bert-99.9", "intel") }}
 
 === "Qualcomm"
     ## Qualcomm AI100 MLPerf Implementation
 
-    BERT-99
 {{ mlperf_inference_implementation_readme (4, "bert-99", "qualcomm") }}
 
-    BERT-99.9
 {{ mlperf_inference_implementation_readme (4, "bert-99.9", "qualcomm") }}

docs/benchmarks/language/get-llama2-70b-data.md

@@ -28,4 +28,8 @@ Get the Official MLPerf LLAMA2-70b Model
     ```
     cm run script --tags=get,ml-model,llama2-70b,_pytorch -j
     ```
+
+!!! tip
+
+    Downloading llama2-70B model from Hugging Face will prompt you to enter the Hugging Face username and password. Please note that the password required is the [**access token**](https://huggingface.co/settings/tokens) generated for your account. Additionally, ensure that your account has access to the [llama2-70B](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) model.
 

docs/benchmarks/language/gpt-j.md

@@ -8,37 +8,31 @@ hide:
 
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
-
-    GPT-J-99
+
 
 {{ mlperf_inference_implementation_readme (4, "gptj-99", "reference") }}
 
-    GPTJ-99.9
 
 {{ mlperf_inference_implementation_readme (4, "gptj-99.9", "reference") }}
 
 === "Nvidia"
     ## Nvidia MLPerf Implementation
 
-    GPTJ-99
 
 {{ mlperf_inference_implementation_readme (4, "gptj-99", "nvidia") }}
 
-    GPTJ-99.9
 
 {{ mlperf_inference_implementation_readme (4, "gptj-99.9", "nvidia") }}
 
 === "Intel"
     ## Intel MLPerf Implementation
-    GPTJ-99
 
 {{ mlperf_inference_implementation_readme (4, "gptj-99", "intel") }}
 
 
 === "Qualcomm"
     ## Qualcomm AI100 MLPerf Implementation
 
-    GPTJ-99
 
 {{ mlperf_inference_implementation_readme (4, "gptj-99", "qualcomm") }}
 

docs/benchmarks/language/llama2-70b.md

@@ -9,26 +9,20 @@ hide:
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
 
-    LLAMA2-70b-99
 {{ mlperf_inference_implementation_readme (4, "llama2-70b-99", "reference") }}
 
-    LLAMA2-70b-99.9
 {{ mlperf_inference_implementation_readme (4, "llama2-70b-99.9", "reference") }}
 
 === "Nvidia"
     ## Nvidia MLPerf Implementation
 
-    LLAMA2-70b-99
 {{ mlperf_inference_implementation_readme (4, "llama2-70b-99", "nvidia") }}
 
-    LLAMA2-70b-99.9
 {{ mlperf_inference_implementation_readme (4, "llama2-70b-99.9", "nvidia") }}
 
 === "Neural Magic"
     ## Neural Magic MLPerf Implementation
 
-    LLAMA2-70b-99
 {{ mlperf_inference_implementation_readme (4, "llama2-70b-99", "neuralmagic") }}
 
-    LLAMA2-70b-99.9
 {{ mlperf_inference_implementation_readme (4, "llama2-70b-99.9", "neuralmagic") }}

docs/benchmarks/language/mixtral-8x7b.md

@@ -6,5 +6,4 @@ hide:
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
 
-    MIXTRAL-8x7b
 {{ mlperf_inference_implementation_readme (4, "mixtral-8x7b", "reference") }}

docs/benchmarks/medical_imaging/3d-unet.md

@@ -9,30 +9,24 @@ hide:
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
 
-    3d-unet-99
 
 {{ mlperf_inference_implementation_readme (4, "3d-unet-99", "reference") }}
 
-    3d-unet-99.9
 
 {{ mlperf_inference_implementation_readme (4, "3d-unet-99.9", "reference") }}
 
 === "Nvidia"
     ## Nvidia MLPerf Implementation
-    3d-unet-99
 
 {{ mlperf_inference_implementation_readme (4, "3d-unet-99", "nvidia") }}
 
-    3d-unet-99.9
 
 {{ mlperf_inference_implementation_readme (4, "3d-unet-99.9", "nvidia") }}
 
 === "Intel"
     ## Intel MLPerf Implementation
-    3d-unet-99
 
 {{ mlperf_inference_implementation_readme (4, "3d-unet-99", "intel") }}
 
-    3d-unet-99.9
 
 {{ mlperf_inference_implementation_readme (4, "3d-unet-99.9", "intel") }}

docs/benchmarks/medical_imaging/get-3d-unet-data.md

@@ -12,9 +12,14 @@ The benchmark implementation run command will automatically download the validat
 === "Validation"
     3d-unet validation run uses the KiTS19 dataset performing [KiTS 2019](https://kits19.grand-challenge.org/) kidney tumor segmentation task
 
-    ### Get Validation Dataset
+    ### Get Validation Dataset(Original)
     ```
-    cm run script --tags=get,dataset,kits19,validation -j
+    cm run script --tags=get,dataset,kits19,_validation -j
+    ```
+
+    ### Get Validation Dataset(Preprocessed)
+    ```
+    cm run script --tags=get,dataset,kits19,preprocessed -j
     ```
 
 ## Model

docs/benchmarks/recommendation/dlrm-v2.md

@@ -10,26 +10,20 @@ hide:
 === "MLCommons-Python"
     ## MLPerf Reference Implementation in Python
 
-    DLRM-v2-99
 {{ mlperf_inference_implementation_readme (4, "dlrm-v2-99", "reference") }}
 
-    DLRM-v2-99.9
 {{ mlperf_inference_implementation_readme (4, "dlrm-v2-99.9", "reference") }}
 
 === "Nvidia"
     ## Nvidia MLPerf Implementation
-
-    DLRM-v2-99
+
 {{ mlperf_inference_implementation_readme (4, "dlrm-v2-99", "nvidia") }}
 
-    DLRM-v2-99.9
 {{ mlperf_inference_implementation_readme (4, "dlrm-v2-99.9", "nvidia") }}
 
 === "Intel"
     ## Intel MLPerf Implementation
 
-    DLRM-v2-99
 {{ mlperf_inference_implementation_readme (4, "dlrm-v2-99", "intel") }}
 
-    DLRM-v2-99.9
 {{ mlperf_inference_implementation_readme (4, "dlrm-v2-99.9", "intel") }}