chore: import upstream snapshot with attribution

tools/Polygraphy/tests/comparator/test_postprocess.py

@@ -0,0 +1,57 @@
+#
+# 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 numpy as np
+import pytest
+from polygraphy import util
+from polygraphy.comparator import PostprocessFunc, IterationResult
+
+build_torch = lambda a, **kwargs: util.array.to_torch(np.array(a, **kwargs))
+
+
+@pytest.mark.parametrize("array_type", [np.array, build_torch])
+class TestTopK:
+    def test_basic(self, array_type):
+        arr = array_type([1, 2, 3, 4, 5], dtype=np.float32)
+        func = PostprocessFunc.top_k(k=3)
+        top_k = func(IterationResult({"x": arr}))
+        assert util.array.equal(top_k["x"], array_type([4, 3, 2]))
+
+    def test_k_can_exceed_array_len(self, array_type):
+        arr = array_type([1, 2, 3, 4, 5], dtype=np.float32)
+        func = PostprocessFunc.top_k(k=10)
+        top_k = func(IterationResult({"x": arr}))
+        assert util.array.equal(top_k["x"], array_type([4, 3, 2, 1, 0]))
+
+    def test_per_output_top_k(self, array_type):
+        arr = array_type([1, 2, 3, 4, 5], dtype=np.float32)
+        func = PostprocessFunc.top_k(k={"": 10, "y": 2})
+        top_k = func(IterationResult({"x": arr, "y": arr}))
+        assert util.array.equal(top_k["x"], array_type([4, 3, 2, 1, 0]))
+        assert util.array.equal(top_k["y"], array_type([4, 3]))
+
+    def test_per_output_top_k_axis(self, array_type):
+        arr = array_type([[5, 6, 5], [6, 5, 6]], dtype=np.float32)
+        func = PostprocessFunc.top_k(k={"": (1, 0), "y": (1, 1)})
+        top_k = func(IterationResult({"x": arr, "y": arr}))
+        assert util.array.equal(top_k["x"], array_type([[1, 0, 1]]))
+        assert util.array.equal(top_k["y"], array_type([[1], [0]]))
+
+    def test_top_k_half(self, array_type):
+        arr = array_type([1, 2, 3, 4, 5], dtype=np.float16)
+        func = PostprocessFunc.top_k(k=3)
+        top_k = func(IterationResult({"x": arr}))
+        assert util.array.equal(top_k["x"], array_type([4, 3, 2]))