move benchmarks to separate directory

Summary: Move benchmarks to a separate directory as tests/ is getting big.

Reviewed By: nikhilaravi

Differential Revision: D32885462

fbshipit-source-id: a832662a494ee341ab77d95493c95b0af0a83f43

tests/benchmarks/bm_chamfer.py

@@ -0,0 +1,65 @@
+# Copyright (c) Facebook, Inc. and its affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+from itertools import product
+
+import torch
+from fvcore.common.benchmark import benchmark
+from test_chamfer import TestChamfer
+
+
+def bm_chamfer() -> None:
+    # Currently disabled.
+    return
+    devices = ["cpu"]
+    if torch.cuda.is_available():
+        devices.append("cuda:0")
+
+    kwargs_list_naive = []
+    batch_size = [1, 32]
+    return_normals = [True, False]
+    test_cases = product(batch_size, return_normals, devices)
+
+    for case in test_cases:
+        b, n, d = case
+        kwargs_list_naive.append(
+            {"batch_size": b, "P1": 32, "P2": 64, "return_normals": n, "device": d}
+        )
+
+    benchmark(
+        TestChamfer.chamfer_naive_with_init,
+        "CHAMFER_NAIVE",
+        kwargs_list_naive,
+        warmup_iters=1,
+    )
+
+    if torch.cuda.is_available():
+        device = "cuda:0"
+        kwargs_list = []
+        batch_size = [1, 32]
+        P1 = [32, 1000, 10000]
+        P2 = [64, 3000, 30000]
+        return_normals = [True, False]
+        homogeneous = [True, False]
+        test_cases = product(batch_size, P1, P2, return_normals, homogeneous)
+
+        for case in test_cases:
+            b, p1, p2, n, h = case
+            kwargs_list.append(
+                {
+                    "batch_size": b,
+                    "P1": p1,
+                    "P2": p2,
+                    "return_normals": n,
+                    "homogeneous": h,
+                    "device": device,
+                }
+            )
+        benchmark(TestChamfer.chamfer_with_init, "CHAMFER", kwargs_list, warmup_iters=1)
+
+
+if __name__ == "__main__":
+    bm_chamfer()