chore: import upstream snapshot with attribution

2026-07-13 13:36:55 +08:00
commit c8a779b1bb
1887 changed files with 3245738 additions and 0 deletions
@@ -0,0 +1,81 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# 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.
+#
+import os
+import tempfile
+
+import pytest
+from polygraphy import constants, util
+from polygraphy.backend.tf import (
+    GraphFromFrozen,
+    ModifyGraphOutputs,
+    SaveGraph,
+    graph_from_frozen,
+)
+from polygraphy.logger import G_LOGGER
+from tests.helper import is_file_non_empty
+from tests.models.meta import TF_MODELS
+
+tf = pytest.importorskip("tensorflow")
+
+
+class TestLoggerCallbacks:
+    @pytest.mark.parametrize("sev", G_LOGGER.SEVERITY_LETTER_MAPPING.keys())
+    def test_set_severity(self, sev):
+        G_LOGGER.module_severity = sev
+
+
+class TestFrozenGraphLoader:
+    def test_load_graph(self):
+        with tf.compat.v1.Graph().as_default() as graph:
+            inp = tf.placeholder(shape=(1, 1, 1, 1), dtype=tf.float32)
+            out = tf.identity(inp)
+
+        graph, outputs = graph_from_frozen(graph)
+        assert graph
+        assert outputs
+
+    def test_load_pb(self):
+        tf_loader = GraphFromFrozen(TF_MODELS["identity"].path)
+        tf_loader()
+
+
+class TestModifyGraph:
+    def test_layerwise(self):
+        load_frozen = GraphFromFrozen(TF_MODELS["identity"].path)
+        modify_tf = ModifyGraphOutputs(load_frozen, outputs=constants.MARK_ALL)
+
+        graph, outputs = modify_tf()
+        assert graph
+        assert outputs
+
+
+class TestSaveGraph:
+    def test_save_pb(self):
+        with util.NamedTemporaryFile() as outpath:
+            tf_loader = SaveGraph(
+                GraphFromFrozen(TF_MODELS["identity"].path), path=outpath.name
+            )
+            tf_loader()
+            assert is_file_non_empty(outpath.name)
+
+    def test_save_tensorboard(self):
+        with tempfile.TemporaryDirectory() as outdir:
+            tf_loader = SaveGraph(
+                GraphFromFrozen(TF_MODELS["identity"].path), tensorboard_dir=outdir
+            )
+            tf_loader()
+            assert os.path.exists(tf_loader.tensorboard_dir)