diff --git a/.ci/docker/requirements-ci.txt b/.ci/docker/requirements-ci.txt
index a4672dfbe505..a04575375e92 100644
--- a/.ci/docker/requirements-ci.txt
+++ b/.ci/docker/requirements-ci.txt
@@ -275,3 +275,8 @@ z3-solver==4.12.2.0
 #Description: The Z3 Theorem Prover Project
 #Pinned versions:
 #test that import:
+
+tensorboard==2.13.0
+#Description: Also included in .ci/docker/requirements-docs.txt
+#Pinned versions:
+#test that import: test_tensorboard
diff --git a/.ci/pytorch/win-test.sh b/.ci/pytorch/win-test.sh
index 99338313ad84..5d8cc24e4455 100755
--- a/.ci/pytorch/win-test.sh
+++ b/.ci/pytorch/win-test.sh
@@ -35,7 +35,7 @@ if [[ "$BUILD_ENVIRONMENT" == *cuda* ]]; then
 fi
 
 # TODO: Move both of them to Windows AMI
-python -m pip install pytest-rerunfailures==10.3 pytest-cpp==2.3.0
+python -m pip install pytest-rerunfailures==10.3 pytest-cpp==2.3.0 tensorboard==2.13.0
 
 # Install Z3 optional dependency for Windows builds.
 python -m pip install z3-solver
diff --git a/.github/requirements/pip-requirements-macOS.txt b/.github/requirements/pip-requirements-macOS.txt
index f33d37f1c61e..696d2f3dac2c 100644
--- a/.github/requirements/pip-requirements-macOS.txt
+++ b/.github/requirements/pip-requirements-macOS.txt
@@ -25,3 +25,4 @@ sympy==1.11.1
 pytest-cpp==2.3.0
 rockset==1.0.3
 z3-solver==4.12.2.0
+tensorboard==2.13.0
diff --git a/test/test_tensorboard.py b/test/test_tensorboard.py
index 82192aab6ce1..aa9517889ab0 100644
--- a/test/test_tensorboard.py
+++ b/test/test_tensorboard.py
@@ -43,7 +43,14 @@
 skipIfNoMatplotlib = unittest.skipIf(not TEST_MATPLOTLIB, "no matplotlib")
 
 import torch
-from torch.testing._internal.common_utils import TestCase, run_tests, TEST_WITH_ASAN, TEST_WITH_CROSSREF
+from torch.testing._internal.common_utils import (
+    TestCase,
+    run_tests,
+    TEST_WITH_ASAN,
+    TEST_WITH_CROSSREF,
+    IS_WINDOWS,
+    IS_MACOS,
+)
 
 def tensor_N(shape, dtype=float):
     numel = np.prod(shape)
@@ -406,18 +413,23 @@ def test_video(self):
         summary.video('dummy', np.random.rand(16, 48, 1, 28, 28))
         summary.video('dummy', np.random.rand(20, 7, 1, 8, 8))
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_audio(self):
         self.assertTrue(compare_proto(summary.audio('dummy', tensor_N(shape=(42,))), self))
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_text(self):
         self.assertTrue(compare_proto(summary.text('dummy', 'text 123'), self))
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_histogram_auto(self):
         self.assertTrue(compare_proto(summary.histogram('dummy', tensor_N(shape=(1024,)), bins='auto', max_bins=5), self))
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_histogram_fd(self):
         self.assertTrue(compare_proto(summary.histogram('dummy', tensor_N(shape=(1024,)), bins='fd', max_bins=5), self))
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_histogram_doane(self):
         self.assertTrue(compare_proto(summary.histogram('dummy', tensor_N(shape=(1024,)), bins='doane', max_bins=5), self))
 
@@ -488,6 +500,7 @@ def test_hparams_domain_discrete(self):
         # only smoke test. Because protobuf map serialization is nondeterministic.
         summary.hparams(hp, mt, hparam_domain_discrete=hp_domain)
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_mesh(self):
         v = np.array([[[1, 1, 1], [-1, -1, 1], [1, -1, -1], [-1, 1, -1]]], dtype=float)
         c = np.array([[[255, 0, 0], [0, 255, 0], [0, 0, 255], [255, 0, 255]]], dtype=int)
@@ -495,6 +508,7 @@ def test_mesh(self):
         mesh = summary.mesh('my_mesh', vertices=v, colors=c, faces=f, config_dict=None)
         self.assertTrue(compare_proto(mesh, self))
 
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_scalar_new_style(self):
         scalar = summary.scalar('test_scalar', 1.0, new_style=True)
         self.assertTrue(compare_proto(scalar, self))
@@ -777,6 +791,8 @@ def test_figure_list(self):
         writer.close()
 
 class TestTensorBoardNumpy(BaseTestCase):
+    @unittest.skipIf(IS_WINDOWS, "Skipping on windows, see https://github.com/pytorch/pytorch/pull/109349 ")
+    @unittest.skipIf(IS_MACOS, "Skipping on mac, see https://github.com/pytorch/pytorch/pull/109349 ")
     def test_scalar(self):
         res = make_np(1.1)
         self.assertIsInstance(res, np.ndarray) and self.assertEqual(res.shape, (1,))