Add more variants of GPT2

tests/jax/models/gpt2/base/test_gpt2_base.py

@@ -0,0 +1,43 @@
+# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
+#
+# SPDX-License-Identifier: Apache-2.0
+
+
+import pytest
+from infra import ModelTester, RunMode
+
+from ..tester import GPT2Tester
+
+MODEL_PATH = "openai-community/gpt2"
+
+
+# ----- Fixtures -----
+
+
+@pytest.fixture
+def inference_tester() -> GPT2Tester:
+    return GPT2Tester(MODEL_PATH)
+
+
+@pytest.fixture
+def training_tester() -> GPT2Tester:
+    return GPT2Tester(ModelTester, run_mode=RunMode.TRAINING)
+
+
+# ----- Tests -----
+
+
+@pytest.mark.xfail(
+    reason="Cannot get the device from a tensor with host storage (https://github.com/tenstorrent/tt-xla/issues/171)"
+)
+def test_gpt2_base_inference(
+    inference_tester: GPT2Tester,
+):
+    inference_tester.test()
+
+
+@pytest.mark.skip(reason="Support for training not implemented")
+def test_gpt2_base_training(
+    training_tester: GPT2Tester,
+):
+    training_tester.test()

tests/jax/models/gpt2/large/test_gpt2_large.py

@@ -0,0 +1,43 @@
+# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
+#
+# SPDX-License-Identifier: Apache-2.0
+
+
+import pytest
+from infra import ModelTester, RunMode
+
+from ..tester import GPT2Tester
+
+MODEL_PATH = "openai-community/gpt2-large"
+
+
+# ----- Fixtures -----
+
+
+@pytest.fixture
+def inference_tester() -> GPT2Tester:
+    return GPT2Tester(MODEL_PATH)
+
+
+@pytest.fixture
+def training_tester() -> GPT2Tester:
+    return GPT2Tester(ModelTester, run_mode=RunMode.TRAINING)
+
+
+# ----- Tests -----
+
+
+@pytest.mark.xfail(
+    reason="Cannot get the device from a tensor with host storage (https://github.com/tenstorrent/tt-xla/issues/171)"
+)
+def test_gpt2_large_inference(
+    inference_tester: GPT2Tester,
+):
+    inference_tester.test()
+
+
+@pytest.mark.skip(reason="Support for training not implemented")
+def test_gpt2_large_training(
+    training_tester: GPT2Tester,
+):
+    training_tester.test()

tests/jax/models/gpt2/medium/test_gpt2_medium.py

@@ -0,0 +1,43 @@
+# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
+#
+# SPDX-License-Identifier: Apache-2.0
+
+
+import pytest
+from infra import ModelTester, RunMode
+
+from ..tester import GPT2Tester
+
+MODEL_PATH = "openai-community/gpt2-medium"
+
+
+# ----- Fixtures -----
+
+
+@pytest.fixture
+def inference_tester() -> GPT2Tester:
+    return GPT2Tester(MODEL_PATH)
+
+
+@pytest.fixture
+def training_tester() -> GPT2Tester:
+    return GPT2Tester(ModelTester, run_mode=RunMode.TRAINING)
+
+
+# ----- Tests -----
+
+
+@pytest.mark.xfail(
+    reason="Cannot get the device from a tensor with host storage (https://github.com/tenstorrent/tt-xla/issues/171)"
+)
+def test_gpt2_medium_inference(
+    inference_tester: GPT2Tester,
+):
+    inference_tester.test()
+
+
+@pytest.mark.skip(reason="Support for training not implemented")
+def test_gpt2_medium_training(
+    training_tester: GPT2Tester,
+):
+    training_tester.test()

tests/jax/models/gpt2/tester.py

@@ -0,0 +1,41 @@
+# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from typing import Dict, Sequence
+
+import jax
+from flax import linen as nn
+from infra import ComparisonConfig, ModelTester, RunMode
+from transformers import AutoTokenizer, FlaxGPT2LMHeadModel
+
+
+class GPT2Tester(ModelTester):
+    """Tester for GPT2 for autoregressive text generation."""
+
+    def __init__(
+        self,
+        model_name: str,
+        comparison_config: ComparisonConfig = ComparisonConfig(),
+        run_mode: RunMode = RunMode.INFERENCE,
+    ) -> None:
+        self._model_name = model_name
+        super().__init__(comparison_config, run_mode)
+
+    # @override
+    def _get_model(self) -> nn.Module:
+        return FlaxGPT2LMHeadModel.from_pretrained(self._model_name)
+
+    # @override
+    def _get_input_activations(self) -> Sequence[jax.Array]:
+        tokenizer = AutoTokenizer.from_pretrained(self._model_name)
+        inputs = tokenizer("Hello", return_tensors="np")
+        return inputs["input_ids"]
+
+    # @override
+    def _get_forward_method_kwargs(self) -> Dict[str, jax.Array]:
+        assert hasattr(self._model, "params")
+        return {
+            "params": self._model.params,
+            "input_ids": self._get_input_activations(),
+        }

tests/jax/models/gpt2/xl/test_gpt2_xl.py

@@ -0,0 +1,44 @@
+# SPDX-FileCopyrightText: (c) 2025 Tenstorrent AI ULC
+#
+# SPDX-License-Identifier: Apache-2.0
+
+
+import pytest
+from infra import ModelTester, RunMode
+
+from ..tester import GPT2Tester
+
+MODEL_PATH = "openai-community/gpt2-xl"
+
+
+# ----- Fixtures -----
+
+
+@pytest.fixture
+def inference_tester() -> GPT2Tester:
+    return GPT2Tester(MODEL_PATH)
+
+
+@pytest.fixture
+def training_tester() -> GPT2Tester:
+    return GPT2Tester(ModelTester, run_mode=RunMode.TRAINING)
+
+
+# ----- Tests -----
+
+
+# @pytest.mark.xfail(
+#    reason="Cannot get the device from a tensor with host storage (https://github.com/tenstorrent/tt-xla/issues/171)"
+# )
+@pytest.mark.skip(reason="OOMs in CI")
+def test_gpt2_xl_inference(
+    inference_tester: GPT2Tester,
+):
+    inference_tester.test()
+
+
+@pytest.mark.skip(reason="Support for training not implemented")
+def test_gpt2_xl_training(
+    training_tester: GPT2Tester,
+):
+    training_tester.test()