clearml

setup.py

@@ -56,6 +56,7 @@
     "GPUtil>=1.4.0",
     "protobuf>=3.12.2,<=3.20.3",
     "click>=7.1.2,!=8.0.0",  # latest version < 8.0 + blocked version with reported bug
+    "clearml==1.14.4",
 ]
 _nm_deps = [f"{'sparsezoo' if is_release else 'sparsezoo-nightly'}~={version_nm_deps}"]
 _deepsparse_deps = [

tests/sparseml/test_clear_ml.py

@@ -0,0 +1,50 @@
+# Copyright (c) 2021 - present / Neuralmagic, Inc. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from pathlib import Path
+
+import torch
+
+from clearml import Task
+from sparseml.transformers import apply
+
+
+def test_oneshot_and_finetune(tmp_path: Path):
+    recipe_str = "tests/sparseml/transformers/finetune/test_alternate_recipe.yaml"
+    model = "Xenova/llama2.c-stories15M"
+    device = "cuda:0"
+    if not torch.cuda.is_available():
+        device = "cpu"
+    dataset = "wikitext"
+    dataset_config_name = "wikitext-2-raw-v1"
+    concatenate_data = True
+    run_stages = True
+    output_dir = tmp_path
+    max_steps = 50
+    splits = {"train": "train[:50%]", "calibration": "train[50%:60%]"}
+
+    Task.init(project_name="test", task_name="test_oneshot_and_finetune")
+
+    apply(
+        model=model,
+        dataset=dataset,
+        dataset_config_name=dataset_config_name,
+        run_stages=run_stages,
+        output_dir=output_dir,
+        recipe=recipe_str,
+        max_steps=max_steps,
+        concatenate_data=concatenate_data,
+        splits=splits,
+        oneshot_device=device,
+    )