Add dry run + generalise rclone download

script/download-and-extract/customize.py

@@ -54,6 +54,10 @@ def preprocess(i):
 def postprocess(i):
 
     env = i['env']
+
+    if env.get('MLC_DOWNLOAD_MODE') == "dry":
+        return {'return': 0}
+
     filepath = env.get('MLC_EXTRACT_EXTRACTED_PATH', '')
     if filepath == '':
         filepath = env.get('MLC_DOWNLOAD_DOWNLOADED_PATH', '')

script/download-and-extract/meta.yaml

@@ -30,6 +30,9 @@ posthook_deps:
     MLC_DAE_EXTRACT_DOWNLOADED:
     - 'yes'
     - 'True'
+  skip_if_env:
+    MLC_DOWNLOAD_MODE:
+    - 'dry'
   names:
   - extract-script
   tags: extract,file

script/download-file/customize.py

@@ -313,6 +313,9 @@ def postprocess(i):
 
     env = i['env']
 
+    if env.get('MLC_DOWNLOAD_MODE') == "dry":
+        return {'return': 0}
+
     filepath = env['MLC_DOWNLOAD_DOWNLOADED_PATH']
 
     if not os.path.exists(filepath):

script/download-file/run.sh

@@ -50,7 +50,7 @@ if [[ ${require_download} == 1 ]]; then
 fi
 
 # Verify checksum again if necessary
-if [[ ${MLC_DOWNLOAD_TOOL} == "mlcutil" || ${require_download} == 1 ]]; then
+if [[ "${MLC_DOWNLOAD_MODE}" != "dry" && ( "${MLC_DOWNLOAD_TOOL}" == "mlcutil" || ${require_download} == 1 ) ]]; then
   if [[ -n "${MLC_DOWNLOAD_CHECKSUM_CMD}" ]]; then
     echo -e "\nVerifying checksum after download: ${MLC_DOWNLOAD_CHECKSUM_CMD}"
     eval "${MLC_DOWNLOAD_CHECKSUM_CMD}" || exit $?

script/get-dataset-waymo-calibration/customize.py

@@ -14,16 +14,9 @@ def preprocess(i):
     if env.get('MLC_DATASET_WAYMO_CALIBRATION_PATH', '') != '':
         if not os.path.exists(env['MLC_DATASET_WAYMO_CALIBRATION_PATH']):
             return {
-                'return': 1, 'error': f"Path {env['MLC_DATASET_WAYMO_CALIBRATION_PATH']} does not exists!"}
+                'return': 1, 'error': f"Path {env['MLC_DATASET_WAYMO_CALIBRATION_PATH']} does not exist!"}
     else:
         env['MLC_TMP_REQUIRE_DOWNLOAD'] = "yes"
-        if env['MLC_DOWNLOAD_SRC'] == "mlcommons":
-            i['run_script_input']['script_name'] = 'run-rclone'
-            if env.get('MLC_OUTDIRNAME', '') != '':
-                env['MLC_DATASET_WAYMO_CALIBRATION_PATH'] = env['MLC_OUTDIRNAME']
-            else:
-                env['MLC_DATASET_WAYMO_CALIBRATION_PATH'] = os.path.join(
-                    os.getcwd(), "kitti_format", "calibration")
 
     return {'return': 0}
 

script/get-dataset-waymo-calibration/meta.yaml

@@ -33,3 +33,33 @@ variations:
         - true
       force_cache: true
       tags: get,rclone-config,_waymo
+    - enable_if_env:
+          MLC_TMP_REQUIRE_DOWNLOAD:
+          - 'yes'
+      env:
+        MLC_DOWNLOAD_FINAL_ENV_NAME: MLC_DATASET_WAYMO_CALIBRATION_PATH
+        MLC_EXTRACT_FINAL_ENV_NAME: MLC_DATASET_WAYMO_CALIBRATION_PATH
+        MLC_DOWNLOAD_URL: mlc-waymo:waymo_preprocessed_dataset/kitti_format/testing
+      extra_cache_tags: waymo,dataset
+      force_cache: true
+      names:
+        - dae
+      tags: download-and-extract
+      force_env_keys:
+        - MLC_OUTDIRNAME  
+      update_tags_from_env_with_prefix:
+        _url.:
+          - MLC_DOWNLOAD_URL
+  rclone:
+    group: download-tool
+    add_deps_recursive:
+      dae:
+        tags: _rclone
+    default: true
+  dry-run:
+    group: run-mode
+    env:
+      MLC_DOWNLOAD_MODE: dry
+  dry-run,rclone:
+    env:
+      MLC_DOWNLOAD_EXTRA_OPTIONS: --dry-run

script/get-dataset-waymo-calibration/run.sh

@@ -0,0 +1,5 @@
+if [[ "$MLC_DOWNLOAD_MODE" != "dry" && "$MLC_TMP_REQUIRE_DOWNLOAD" = "true" ]]; then
+  cd "${MLC_DATASET_WAYMO_CALIBRATION_PATH}/testing" || exit
+  for f in *.tar.gz; do tar -xzvf "$f"; done
+  cd - || exit
+fi

script/get-dataset-waymo/customize.py

@@ -17,13 +17,6 @@ def preprocess(i):
                 'return': 1, 'error': f"Path {env['MLC_DATASET_WAYMO_PATH']} does not exists!"}
     else:
         env['MLC_TMP_REQUIRE_DOWNLOAD'] = "yes"
-        if env['MLC_DOWNLOAD_SRC'] == "mlcommons":
-            i['run_script_input']['script_name'] = 'run-rclone'
-            if env.get('MLC_OUTDIRNAME', '') != '':
-                env['MLC_DATASET_WAYMO_PATH'] = env['MLC_OUTDIRNAME']
-            else:
-                env['MLC_DATASET_WAYMO_PATH'] = os.path.join(
-                    os.getcwd(), "kitti_format")
 
     return {'return': 0}
 

script/get-dataset-waymo/meta.yaml

@@ -30,5 +30,35 @@ variations:
         enable_if_env:
           MLC_TMP_REQUIRE_DOWNLOAD:
           - yes
+      - enable_if_env:
+          MLC_TMP_REQUIRE_DOWNLOAD:
+          - 'yes'
+        env:
+          MLC_DOWNLOAD_FINAL_ENV_NAME: MLC_DATASET_WAYMO_PATH
+          MLC_EXTRACT_FINAL_ENV_NAME: MLC_DATASET_WAYMO_PATH
+          MLC_DOWNLOAD_URL: mlc-waymo:waymo_preprocessed_dataset/kitti_format
+        extra_cache_tags: waymo,dataset
+        force_cache: true
+        names:
+          - dae
+        tags: download-and-extract
+        force_env_keys:
+          - MLC_OUTDIRNAME  
+        update_tags_from_env_with_prefix:
+          _url.:
+            - MLC_DOWNLOAD_URL
     env:
       MLC_DOWNLOAD_SRC: mlcommons
+  rclone:
+    group: download-tool
+    add_deps_recursive:
+      dae:
+        tags: _rclone
+    default: true
+  dry-run:
+    group: run-mode
+    env:
+      MLC_DOWNLOAD_MODE: dry
+  dry-run,rclone:
+    env:
+      MLC_DOWNLOAD_EXTRA_OPTIONS: --dry-run

script/get-dataset-waymo/run.sh

@@ -6,3 +6,9 @@
 #echo "VARIABLE_NAME=VARIABLE_VALUE" >>tmp-run-env.out
 
 #${MLC_PYTHON_BIN_WITH_PATH} contains the path to python binary if "get,python" is added as a dependency
+
+if [[ "$MLC_DOWNLOAD_MODE" != "dry" && "$MLC_TMP_REQUIRE_DOWNLOAD" = "true" ]]; then
+  cd "${MLC_DATASET_WAYMO_PATH}/kitti_format/training" || exit
+  for f in *.tar.gz; do tar -xzvf "$f"; done
+  cd - || exit
+fi

script/get-ml-model-llama3/customize.py

@@ -15,17 +15,11 @@ def preprocess(i):
 
     path = env.get('MLC_OUTDIRNAME', '').strip()
 
-    if path != "":
+    if path != "" and env.get('MLC_DOWNLOAD_SRC', '') == "huggingface":
         os.makedirs(path, exist_ok=True)
         env['MLC_GIT_CHECKOUT_FOLDER'] = os.path.join(
             path, env['MLC_ML_MODEL_NAME'])
 
-    if env['MLC_DOWNLOAD_SRC'] == "mlcommons":
-        i['run_script_input']['script_name'] = 'run-rclone'
-        if env.get('MLC_OUTDIRNAME', '') != '':
-            env['LLAMA3_CHECKPOINT_PATH'] = env['MLC_OUTDIRNAME']
-        else:
-            env['LLAMA3_CHECKPOINT_PATH'] = os.getcwd()
     env['MLC_TMP_REQUIRE_DOWNLOAD'] = 'yes'
 
     return {'return': 0}
@@ -35,7 +29,8 @@ def postprocess(i):
 
     env = i['env']
 
-    env['MLC_ML_MODEL_LLAMA3_CHECKPOINT_PATH'] = env['LLAMA3_CHECKPOINT_PATH']
-    env['MLC_GET_DEPENDENT_CACHED_PATH'] = env['MLC_ML_MODEL_PATH']
+    if env.get('MLC_DOWNLOAD_MODE', '') != "dry":
+        env['MLC_ML_MODEL_LLAMA3_CHECKPOINT_PATH'] = env['LLAMA3_CHECKPOINT_PATH']
+        env['MLC_GET_DEPENDENT_CACHED_PATH'] = env['MLC_ML_MODEL_PATH']
 
     return {'return': 0}

script/get-ml-model-llama3/meta.yaml

@@ -61,8 +61,38 @@ variations:
         enable_if_env:
           MLC_TMP_REQUIRE_DOWNLOAD:
           - yes
+      - enable_if_env:
+          MLC_TMP_REQUIRE_DOWNLOAD:
+          - 'yes'
+        env:
+          MLC_DOWNLOAD_FINAL_ENV_NAME: LLAMA3_CHECKPOINT_PATH
+          MLC_EXTRACT_FINAL_ENV_NAME: LLAMA3_CHECKPOINT_PATH
+          MLC_DOWNLOAD_URL: mlc-llama3-1:inference/<<<MLC_ML_MODEL_NAME>>>
+        extra_cache_tags: waymo,dataset
+        force_cache: true
+        names:
+          - dae
+        tags: download-and-extract
+        force_env_keys:
+          - MLC_OUTDIRNAME  
+        update_tags_from_env_with_prefix:
+          _url.:
+            - MLC_DOWNLOAD_URL
     env:
       MLC_DOWNLOAD_SRC: mlcommons
+  rclone:
+    group: download-tool
+    add_deps_recursive:
+      dae:
+        tags: _rclone
+    default: true
+  dry-run:
+    group: run-mode
+    env:
+      MLC_DOWNLOAD_MODE: dry
+  dry-run,rclone:
+    env:
+      MLC_DOWNLOAD_EXTRA_OPTIONS: --dry-run
   hf:
     group: download-src
     default_variations:

script/get-preprocessed-dataset-criteo/meta.yaml

@@ -142,12 +142,28 @@ variations:
         MLC_EXTRACT_FINAL_ENV_NAME: MLC_DATASET_PREPROCESSED_PATH
         MLC_EXTRACT_TO_FOLDER: criteo-preprocessed
         MLC_RCLONE_CONFIG_NAME: mlc-inference
-        MLC_RCLONE_URL: mlc-inference:mlcommons-inference-wg-public/dlrm_preprocessed
+        MLC_DOWNLOAD_URL: mlc-inference:mlcommons-inference-wg-public/dlrm_preprocessed
       extra_cache_tags: criteo,preprocessed,dataset
       force_cache: true
       names:
       - dae
-      tags: download-and-extract,_rclone,_url.mlc-inference:mlcommons-inference-wg-public/dlrm_preprocessed
+      tags: download-and-extract
+      update_tags_from_env_with_prefix:
+          _url.:
+            - MLC_DOWNLOAD_URL
+  rclone:
+    group: download-tool
+    add_deps_recursive:
+      dae:
+        tags: _rclone
+    default: true
+  dry-run:
+    group: run-mode
+    env:
+      MLC_DOWNLOAD_MODE: dry
+  dry-run,rclone:
+    env:
+      MLC_DOWNLOAD_EXTRA_OPTIONS: --dry-run
   preprocess:
     group: src
   validation: